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<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor, operating since November 2014, focuses on the Middle East. It mainly targets the telecommunications industry, and also targets the travel industry and supporting IT firms, and the high-tech industry.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be connected to the Iranian government.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Saudi Arabia, Egypt, Turkey, Iraq, Spain, Norway, Australia, South Korea
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor, operating since November 2014, focuses on the Middle East. It mainly targets the telecommunications industry, and also targets the travel industry and supporting IT firms, and the high-tech industry.
Date and Time of Incident:
12/12/2018
Impact Assessment:
The attack likely disrupted operations of Saudi Arabia, Egypt, Turkey, Iraq, Spain, Norway, Australia, South Korea in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted a foreign ministry in Europe and in North America using spear-phishing techniques for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
nan
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted a foreign ministry in Europe and in North America using spear-phishing techniques for the purpose of espionage.
Date and Time of Incident:
2/28/2018
Impact Assessment:
The attack likely disrupted operations of nan in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor uses spear-phishing techniques to target parliaments, government ministries, academics, and media organizations, primarily in the Middle East, for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
Palestine, Egypt, Jordan, United Arab Emirates, Saudi Arabia, Djibouti, Qatar, Chile, Lebonon, Somalia, Iraq, Morocco, Syria, India, Iran, Canada, United States, United Kingdom, Germany, Israel, Afghanistan, Serbia, Russia, Oman, Kuwait, South Korea, Denmark
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor uses spear-phishing techniques to target parliaments, government ministries, academics, and media organizations, primarily in the Middle East, for the purpose of espionage.
Date and Time of Incident:
4/12/2018
Impact Assessment:
The attack likely disrupted operations of Palestine, Egypt, Jordan, United Arab Emirates, Saudi Arabia, Djibouti, Qatar, Chile, Lebonon, Somalia, Iraq, Morocco, Syria, India, Iran, Canada, United States, United Kingdom, Germany, Israel, Afghanistan, Serbia, Russia, Oman, Kuwait, South Korea, Denmark in the Government, Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targets critical infrastructure and organizations in the entertainment, finance, health-care, education, and telecommunications sectors.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of the Lazarus Group
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States, United Kingdom, India, Thailand, Guatemala, Germany, France, Canada, Brazil, China, Bangladesh, Thailand, Hong Kong, Japan, Australia,
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targets critical infrastructure and organizations in the entertainment, finance, health-care, education, and telecommunications sectors.
Date and Time of Incident:
4/24/2018
Impact Assessment:
The attack likely disrupted operations of United States, United Kingdom, India, Thailand, Guatemala, Germany, France, Canada, Brazil, China, Bangladesh, Thailand, Hong Kong, Japan, Australia, in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor reportedly intruded into American aerospace companies' computer systems to steal intellectual property and business information, including information related to turbofan engines used in commercial aircraft.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with China's Jiangsu Ministry of State Security
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Aerospace companies based in Arizona, Massachusetts, and Oregon
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor reportedly intruded into American aerospace companies' computer systems to steal intellectual property and business information, including information related to turbofan engines used in commercial aircraft.
Date and Time of Incident:
10/30/2018
Impact Assessment:
The attack likely disrupted operations of Aerospace companies based in Arizona, Massachusetts, and Oregon in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Criminal charges https://www.justice.gov/opa/pr/chinese-intelligence-officers-and-their-recruited-hackers-and-insiders-conspired-steal
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor has compromised the German Foreign Office, for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Turla
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Germany
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor has compromised the German Foreign Office, for the purpose of espionage.
Date and Time of Incident:
3/16/2018
Impact Assessment:
The attack likely disrupted operations of Germany in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>In a series of incidents, Chinese hackers breached U.S. Navy contractors’ systems to steal information including ship maintenance data and missile plans.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 10.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
In a series of incidents, Chinese hackers breached U.S. Navy contractors’ systems to steal information including ship maintenance data and missile plans.
Date and Time of Incident:
12/14/2018
Impact Assessment:
The attack likely disrupted operations of United States in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted a European defense agency with a spear-phishing email, which only deploys a payload if the victim opens an email attachment and scrolls to page 3.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
nan
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted a European defense agency with a spear-phishing email, which only deploys a payload if the victim opens an email attachment and scrolls to page 3.
Date and Time of Incident:
3/15/2018
Impact Assessment:
The attack likely disrupted operations of nan in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor uses spear-phishing techniques to target embassies and private-sector energy, defense, aerospace, research, international economics, and media organizations in Africa, Europe, and the Middle East, for the purpose of espionage. It was first identified in 2014 and has been active since.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as Cloud Atlas and Red October.
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
South Africa, Kenya, United Kingdom, Malaysia, Suriname, Turkey, Turkmenistan, Ukraine, Romania, Portugal, Afghanistan
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor uses spear-phishing techniques to target embassies and private-sector energy, defense, aerospace, research, international economics, and media organizations in Africa, Europe, and the Middle East, for the purpose of espionage. It was first identified in 2014 and has been active since.
Date and Time of Incident:
3/14/2018
Impact Assessment:
The attack likely disrupted operations of South Africa, Kenya, United Kingdom, Malaysia, Suriname, Turkey, Turkmenistan, Ukraine, Romania, Portugal, Afghanistan in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets Japanese media and defense companies for espionage purposes.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 10
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Japan
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets Japanese media and defense companies for espionage purposes.
Date and Time of Incident:
4/22/2018
Impact Assessment:
The attack likely disrupted operations of Japan in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor, whose activities date back to 2014, conducts long-term operations to collect strategic intelligence. They target U.S. and Middle Eastern defense, diplomatic, and government personnel, as well as private industries, including media, energy, business services, and telecommunications.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as Phosphoros and Newscaster Team
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor, whose activities date back to 2014, conducts long-term operations to collect strategic intelligence. They target U.S. and Middle Eastern defense, diplomatic, and government personnel, as well as private industries, including media, energy, business services, and telecommunications.
Date and Time of Incident:
1/1/2018
Impact Assessment:
The attack likely disrupted operations of United States in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets software companies and political organizations in the United States, China, Japan, and South Korea. It primarily acts to support cyber operations conducted by other threat actors affiliated with Chinese intelligence services.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be associated with the Axiom, APT 17, and Mirage threat actors. Believed to share the same tools and infrastructure as the threat actors that carried out Operation Aurora, the 2015 targeting of video game companies, the 2015 targeting of the Thai government, and the 2017 targeting of Chinese-language news websites
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States, United Kingdom, Japan, South Korea, China, Hong Kong, Universities in Hong Kong
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets software companies and political organizations in the United States, China, Japan, and South Korea. It primarily acts to support cyber operations conducted by other threat actors affiliated with Chinese intelligence services.
Date and Time of Incident:
5/3/2018
Impact Assessment:
The attack likely disrupted operations of United States, United Kingdom, Japan, South Korea, China, Hong Kong, Universities in Hong Kong in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets organizations involved in oil, gas, and electricity production, primarily in the Gulf region, for espionage purposes. According to one cybersecurity company, the threat actor “compromises a target machine and passes it off to another threat actor for further exploitation.”<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be linked to the compromise of Saudi Aramco, malware Shamoon 2.0, and the OilRig threat actor
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Iraq, Pakistan, Israel, United Kingdom
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets organizations involved in oil, gas, and electricity production, primarily in the Gulf region, for espionage purposes. According to one cybersecurity company, the threat actor “compromises a target machine and passes it off to another threat actor for further exploitation.”
Date and Time of Incident:
5/17/2018
Impact Assessment:
The attack likely disrupted operations of Iraq, Pakistan, Israel, United Kingdom in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A North Korean group is believed to have stolen hundreds of millions of dollars by infiltrating the computer systems of banks around the world since 2014.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Suspected to be the work of the Lazarus Group.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States, Mexico, Chile, Brazil, Uruguay, Poland, Turkey, Bangladesh, Malaysia, Vietnam, Russia, Phillipines, Taiwan
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A North Korean group is believed to have stolen hundreds of millions of dollars by infiltrating the computer systems of banks around the world since 2014.
Date and Time of Incident:
10/3/2018
Impact Assessment:
The attack likely disrupted operations of United States, Mexico, Chile, Brazil, Uruguay, Poland, Turkey, Bangladesh, Malaysia, Vietnam, Russia, Phillipines, Taiwan in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>The threat actor compromised eight technology service providers, including Hewlett Packard Enterprise and IBM (their cloud services in particular were targeted), to steal commercial secrets from over forty-five client technology companies. The victims include Swedish telecom giant Ericsson, U.S. Navy shipbuilder Huntington Ingalls Industries, and travel reservation system Sabre.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with China's Tianjin State Security Bureau
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Networks and clients of Hewlett Packard Enterprise, IBM, Fujitsu, Tata Consultancy Services, NTT Data, Dimension Data, Computer Sciences Corporation, and DXC Technology
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
The threat actor compromised eight technology service providers, including Hewlett Packard Enterprise and IBM (their cloud services in particular were targeted), to steal commercial secrets from over forty-five client technology companies. The victims include Swedish telecom giant Ericsson, U.S. Navy shipbuilder Huntington Ingalls Industries, and travel reservation system Sabre.
Date and Time of Incident:
12/20/2018
Impact Assessment:
The attack likely disrupted operations of Networks and clients of Hewlett Packard Enterprise, IBM, Fujitsu, Tata Consultancy Services, NTT Data, Dimension Data, Computer Sciences Corporation, and DXC Technology in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Criminal charges https://www.justice.gov/opa/pr/two-chinese-hackers-associated-ministry-state-security-charged-global-computer-intrusion
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted international sports organizations in Western Europe in the run-up to the International Olympic Committee’s banning Russian athletes from participating in the 2018 Winter Olympics in South Korea.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
European Ice Hockey Federation, International Ski Federation, International Biathlon Union, International Bobsleigh and Skeleton Federation, International Luge Federation
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted international sports organizations in Western Europe in the run-up to the International Olympic Committee’s banning Russian athletes from participating in the 2018 Winter Olympics in South Korea.
Date and Time of Incident:
1/12/2018
Impact Assessment:
The attack likely disrupted operations of European Ice Hockey Federation, International Ski Federation, International Biathlon Union, International Bobsleigh and Skeleton Federation, International Luge Federation in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromises the networks of a contractor for the U.S. Navy, exfiltrating 614 gigabytes of sensitive information, including data related to a new U.S. anti-ship missile and submarine communications systems.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromises the networks of a contractor for the U.S. Navy, exfiltrating 614 gigabytes of sensitive information, including data related to a new U.S. anti-ship missile and submarine communications systems.
Date and Time of Incident:
6/8/2018
Impact Assessment:
The attack likely disrupted operations of United States in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted U.S. movie theater chain AMC Theatres in 2014 using spear-phishing techniques. The U.S. Department of Justice alleges that the incident was related to the chain's screenings of The Interview, a movie depicting the assassination of North Korean leader Kim Jong-un.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Lazarus Group
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
AMC Theatres
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted U.S. movie theater chain AMC Theatres in 2014 using spear-phishing techniques. The U.S. Department of Justice alleges that the incident was related to the chain's screenings of The Interview, a movie depicting the assassination of North Korean leader Kim Jong-un.
Date and Time of Incident:
9/6/2018
Impact Assessment:
The attack likely disrupted operations of AMC Theatres in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Criminal charges https://www.justice.gov/opa/pr/north-korean-regime-backed-programmer-charged-conspiracy-conduct-multiple-cyber-attacks-and
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>Hackers have infiltrated the EU’s diplomatic communication network for years, using phishing attacks to steal sensitive documents related to trade negotiations and meetings with foreign leaders.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Suspected to be the work of Chinese military hackers.
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
European Union, United Nations, American Federation of Labor and Congress of Industrial Organizations
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
Hackers have infiltrated the EU’s diplomatic communication network for years, using phishing attacks to steal sensitive documents related to trade negotiations and meetings with foreign leaders.
Date and Time of Incident:
12/18/2018
Impact Assessment:
The attack likely disrupted operations of European Union, United Nations, American Federation of Labor and Congress of Industrial Organizations in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted financial organizations and bitcoin users, for the purpose of identifying individuals with bitcoin wallets.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of the Lazarus Group
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
nan
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted financial organizations and bitcoin users, for the purpose of identifying individuals with bitcoin wallets.
Date and Time of Incident:
2/12/2018
Impact Assessment:
The attack likely disrupted operations of nan in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromises opposition parties, as well as organizations charged with overseeing the 2018 Cambodian elections, for espionage purposes.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Leviathan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Cambodia
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromises opposition parties, as well as organizations charged with overseeing the 2018 Cambodian elections, for espionage purposes.
Date and Time of Incident:
7/10/2018
Impact Assessment:
The attack likely disrupted operations of Cambodia in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor, believed to be Russian military intelligence, targeted the office of the Organization for the Prohibition of Chemical Weapons in The Hague with a view of compromising its Wi-Fi network for espionage purposes. Dutch authorities were able to foil the operation, and in a joint press conference with UK officials publicly identified four suspected Russian intelligence officers involved. The United States, Australia, Canada, and New Zealand issued statements denouncing Russia's cyber operations.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Organization for the Prohibition of Chemical Weapons
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor, believed to be Russian military intelligence, targeted the office of the Organization for the Prohibition of Chemical Weapons in The Hague with a view of compromising its Wi-Fi network for espionage purposes. Dutch authorities were able to foil the operation, and in a joint press conference with UK officials publicly identified four suspected Russian intelligence officers involved. The United States, Australia, Canada, and New Zealand issued statements denouncing Russia's cyber operations.
Date and Time of Incident:
10/4/2018
Impact Assessment:
The attack likely disrupted operations of Organization for the Prohibition of Chemical Weapons in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement https://english.defensie.nl/latest/news/2018/10/04/netherlands-defence-intelligence-and-security-service-disrupts-russian-cyber-operation-targeting-opcw
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor compromises the networks of companies involved in electric power, specifically looking for intellectual property and information about the companies’ operations.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to use similar tools as the Lazarus Group
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor compromises the networks of companies involved in electric power, specifically looking for intellectual property and information about the companies’ operations.
Date and Time of Incident:
5/31/2018
Impact Assessment:
The attack likely disrupted operations of United States in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>Austal, a major Australian defense contractor and shipbuilder, was targeted in a data breach. Hackers gained access to ship designs and personnel contact information.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Unknown
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Austal Ltd
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
Austal, a major Australian defense contractor and shipbuilder, was targeted in a data breach. Hackers gained access to ship designs and personnel contact information.
Date and Time of Incident:
11/2/2018
Impact Assessment:
The attack likely disrupted operations of Austal Ltd in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor that the U.S. government believes to be sponsored by the Russian government, targets entities in the U.S. energy, nuclear power, water, aviation, and critical manufacturing sectors. According to the Department of Homeland Security, this activity has been ongoing since at least 2014.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be linked to the Crouching Yeti threat actor
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor that the U.S. government believes to be sponsored by the Russian government, targets entities in the U.S. energy, nuclear power, water, aviation, and critical manufacturing sectors. According to the Department of Homeland Security, this activity has been ongoing since at least 2014.
Date and Time of Incident:
3/15/2018
Impact Assessment:
The attack likely disrupted operations of United States in the Private sector, Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Sanctions https://home.treasury.gov/news/press-releases/sm0410
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted Mammoth Screen, a UK production company that produced Opposite Number, a television drama set in North Korea.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Lazarus Group
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Mammoth Screen
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted Mammoth Screen, a UK production company that produced Opposite Number, a television drama set in North Korea.
Date and Time of Incident:
9/6/2018
Impact Assessment:
The attack likely disrupted operations of Mammoth Screen in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>An attack on the Italian oil firm Saipem targeted servers based in India, Kuwait, Saudi Arabia, Scotland, and the United Arab Emirates. Hackers used a variant of the Shamoon virus.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Possibly linked to an Iran-based group that uses the Shamoon virus to target oil and gas entities with a connection to Saudi Arabia.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Saipem
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
An attack on the Italian oil firm Saipem targeted servers based in India, Kuwait, Saudi Arabia, Scotland, and the United Arab Emirates. Hackers used a variant of the Shamoon virus.
Date and Time of Incident:
12/20/2018
Impact Assessment:
The attack likely disrupted operations of Saipem in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted consulates and embassies in Eastern Europe for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Turla
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
nan
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted consulates and embassies in Eastern Europe for the purpose of espionage.
Date and Time of Incident:
1/9/2018
Impact Assessment:
The attack likely disrupted operations of nan in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor uses social engineering and spear phishing to target military and defense organizations in India, for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as Transparent Tribe and C-Major
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
India
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor uses social engineering and spear phishing to target military and defense organizations in India, for the purpose of espionage.
Date and Time of Incident:
5/18/2018
Impact Assessment:
The attack likely disrupted operations of India in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised the U.S. Anti-Doping Agency. Seven of the individuals alleged to be behind this incident, believed to be Russian military intelligence (known as GRU), were indicted by the U.S. Justice Department.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
U.S. Anti-Doping Agency
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised the U.S. Anti-Doping Agency. Seven of the individuals alleged to be behind this incident, believed to be Russian military intelligence (known as GRU), were indicted by the U.S. Justice Department.
Date and Time of Incident:
10/4/2018
Impact Assessment:
The attack likely disrupted operations of U.S. Anti-Doping Agency in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Criminal charges https://www.justice.gov/opa/pr/us-charges-russian-gru-officers-international-hacking-and-related-influence-and
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets industrial control systems in Turkey, Europe, and North America.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be linked to Crouching Yeti
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Turkey,
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets industrial control systems in Turkey, Europe, and North America.
Date and Time of Incident:
6/14/2018
Impact Assessment:
The attack likely disrupted operations of Turkey, in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A Russian actor tied to Russia’s Federal Security Service (FSB) targeted Ukrainian government agencies with a backdoor attacker called Pterodo before and during Russia’s seizure of Ukrainian vessels.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Gamaredon.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Ukraine
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A Russian actor tied to Russia’s Federal Security Service (FSB) targeted Ukrainian government agencies with a backdoor attacker called Pterodo before and during Russia’s seizure of Ukrainian vessels.
Date and Time of Incident:
11/20/2018
Impact Assessment:
The attack likely disrupted operations of Ukraine in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor used a tool, Dark Caracal, to target military personnel, activists, journalists, and lawyers for espionage purposes.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States, Canada, Germany, Lebanon, France
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor used a tool, Dark Caracal, to target military personnel, activists, journalists, and lawyers for espionage purposes.
Date and Time of Incident:
1/18/2018
Impact Assessment:
The attack likely disrupted operations of United States, Canada, Germany, Lebanon, France in the Military, Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor uses a zero-day vulnerability in Adobe Flash software to compromise a diplomatic target in Qatar.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Qatar
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor uses a zero-day vulnerability in Adobe Flash software to compromise a diplomatic target in Qatar.
Date and Time of Incident:
6/7/2018
Impact Assessment:
The attack likely disrupted operations of Qatar in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted the networks of Lockheed Martin, a U.S. defense contractor. It is one of the developers of the Terminal High Altitude Area Defense (THAAD) system installed in South Korea.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Lazarus Group
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted the networks of Lockheed Martin, a U.S. defense contractor. It is one of the developers of the Terminal High Altitude Area Defense (THAAD) system installed in South Korea.
Date and Time of Incident:
9/6/2018
Impact Assessment:
The attack likely disrupted operations of United States in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Criminal charges https://www.justice.gov/opa/pr/north-korean-regime-backed-programmer-charged-conspiracy-conduct-multiple-cyber-attacks-and
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>The personal information of nearly one thousand North Koreans who defected to South Korea was leaked after unknown hackers gained access to the database of South Korea’s resettlement agency.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Suspected to be the work of North Korean authorities.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
South Korea
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
The personal information of nearly one thousand North Koreans who defected to South Korea was leaked after unknown hackers gained access to the database of South Korea’s resettlement agency.
Date and Time of Incident:
12/28/2018
Impact Assessment:
The attack likely disrupted operations of South Korea in the Government, Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets nongovernmental organizations using Mongolian-themed lures for espionage purposes.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as Bronze President.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets nongovernmental organizations using Mongolian-themed lures for espionage purposes.
Date and Time of Incident:
6/15/2018
Impact Assessment:
The attack likely disrupted operations of United States in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised the Court of Arbitration for Sport. Seven of the individuals alleged to be behind this incident, believed to be Russian military intelligence (known as GRU), were indicted by the U.S. Justice Department.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Court of Arbitration for Sport
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised the Court of Arbitration for Sport. Seven of the individuals alleged to be behind this incident, believed to be Russian military intelligence (known as GRU), were indicted by the U.S. Justice Department.
Date and Time of Incident:
10/4/2018
Impact Assessment:
The attack likely disrupted operations of Court of Arbitration for Sport in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor, headquartered in Nanjing, China, is a provincial foreign intelligence arm of China's Ministry of State Security. Its activities include domestic counterintelligence, nonmilitary foreign intelligence, and political and domestic security. From at least January 2010, this threat actor has targeted U.S. and European commercial airliners for the purpose of stealing trade secrets. Several intelligence officers have been charged and indicted by the U.S. Department of Justice.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Linked to Turbine Panda and China's Ministry of State Security
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
nan
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor, headquartered in Nanjing, China, is a provincial foreign intelligence arm of China's Ministry of State Security. Its activities include domestic counterintelligence, nonmilitary foreign intelligence, and political and domestic security. From at least January 2010, this threat actor has targeted U.S. and European commercial airliners for the purpose of stealing trade secrets. Several intelligence officers have been charged and indicted by the U.S. Department of Justice.
Date and Time of Incident:
11/5/2018
Impact Assessment:
The attack likely disrupted operations of nan in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor used a tool called VPNFilter to target a chemical plant in eastern Ukraine that provides chlorine to water- and sewage-treatment plants in that country. Ukraine’s intelligence service claims to have thwarted the incident.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of the same threat actors behind the alleged Russian compromise of networking equipment
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Ukraine
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor used a tool called VPNFilter to target a chemical plant in eastern Ukraine that provides chlorine to water- and sewage-treatment plants in that country. Ukraine’s intelligence service claims to have thwarted the incident.
Date and Time of Incident:
7/11/2018
Impact Assessment:
The attack likely disrupted operations of Ukraine in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>The Mexican government is suspected of using spyware to infiltrate journalists’ messages.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of the Mexican government.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Mexican journalists
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
The Mexican government is suspected of using spyware to infiltrate journalists’ messages.
Date and Time of Incident:
11/27/2018
Impact Assessment:
The attack likely disrupted operations of Mexican journalists in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets governments as well as technology, education, and telecommunications companies primarily in Asia and the United States, for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States, Canada, Australia, Japan, China, Republic of Korea, Taiwan, Thailand, Russia, India, Israel, Iran
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets governments as well as technology, education, and telecommunications companies primarily in Asia and the United States, for the purpose of espionage.
Date and Time of Incident:
2/1/2018
Impact Assessment:
The attack likely disrupted operations of United States, Canada, Australia, Japan, China, Republic of Korea, Taiwan, Thailand, Russia, India, Israel, Iran in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor uses a tool, called Olympics Destroyer, to target financial organizations in Russia and biological and chemical laboratories in Ukraine and other countries in Europe.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of the same actors behind the compromise of the 2018 Winter Olympics
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Russia, France, The Netherlands, Switzerland, Germany, Ukraine
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor uses a tool, called Olympics Destroyer, to target financial organizations in Russia and biological and chemical laboratories in Ukraine and other countries in Europe.
Date and Time of Incident:
6/19/2018
Impact Assessment:
The attack likely disrupted operations of Russia, France, The Netherlands, Switzerland, Germany, Ukraine in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted the personal email accounts of U.S. senators and staffers, according to Senator Ron Wyden (D-OR) and an unnamed technology company.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted the personal email accounts of U.S. senators and staffers, according to Senator Ron Wyden (D-OR) and an unnamed technology company.
Date and Time of Incident:
9/19/2018
Impact Assessment:
The attack likely disrupted operations of United States in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor has compromised the network of Australian National University for espionage purposes.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Australia
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor has compromised the network of Australian National University for espionage purposes.
Date and Time of Incident:
7/6/2018
Impact Assessment:
The attack likely disrupted operations of Australia in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised the Canadian Centre for Ethics in Sport. Seven of the individuals alleged to be behind this incident, believed to be Russian military intelligence (known as GRU), were indicted by the U.S. Justice Department. Canada issued a statement attributing the incident to Russian military intelligence.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Canadian Centre for Ethics in Sport
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised the Canadian Centre for Ethics in Sport. Seven of the individuals alleged to be behind this incident, believed to be Russian military intelligence (known as GRU), were indicted by the U.S. Justice Department. Canada issued a statement attributing the incident to Russian military intelligence.
Date and Time of Incident:
10/4/2018
Impact Assessment:
The attack likely disrupted operations of Canadian Centre for Ethics in Sport in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement https://www.canada.ca/en/global-affairs/news/2018/10/canada-identifies-malicious-cyber-activity-by-russia.html
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor attempted to compromise Bellingcat, a citizen journalism website that conducts investigations, including about Russian involvement in the Syrian and Ukrainian conflicts.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Bellingcat
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor attempted to compromise Bellingcat, a citizen journalism website that conducts investigations, including about Russian involvement in the Syrian and Ukrainian conflicts.
Date and Time of Incident:
11/2/2017
Impact Assessment:
The attack likely disrupted operations of Bellingcat in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor used a tool called WannaCry to encrypt data in compromised networks, and intended to provide the victims with the decryption key only after a ransom had been paid. The threat actors used an exploit, called EternalBlue--first discovered by the U.S. National Security Agency--to propagate WannaCry in organizations using the Windows operating system. On December 19, 2017, the United States, Australia, Canada, Japan, and the United Kingdom issued statements accusing North Korea of being responsible for WannaCry.
In September 2018, the U.S. Department of Justice announced criminal charges alleging that North Korean entities were responsible for this incident.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of the Lazarus Group.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
FedEx, UK National Health Service, Telefonica, Deutsche Bahn, PetroChina, Hitachi, Renault, Nissan, Sberbank
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor used a tool called WannaCry to encrypt data in compromised networks, and intended to provide the victims with the decryption key only after a ransom had been paid. The threat actors used an exploit, called EternalBlue--first discovered by the U.S. National Security Agency--to propagate WannaCry in organizations using the Windows operating system. On December 19, 2017, the United States, Australia, Canada, Japan, and the United Kingdom issued statements accusing North Korea of being responsible for WannaCry.
In September 2018, the U.S. Department of Justice announced criminal charges alleging that North Korean entities were responsible for this incident.
Date and Time of Incident:
6/14/2017
Impact Assessment:
The attack likely disrupted operations of FedEx, UK National Health Service, Telefonica, Deutsche Bahn, PetroChina, Hitachi, Renault, Nissan, Sberbank in the Private sector, Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement https://www.wsj.com/articles/its-official-north-korea-is-behind-wannacry-1513642537
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor is an Iranian state-sponsored APT that targets private-sector entities in the aviation, energy, and petrochemical sectors for the purpose of espionage. It first became active in late 2015 or early 2016, and has been involved in a three-year campaign against multiple firms in the United States and Saudi Arabia. On December 19, 2018, McAfee attributed the 2016 and 2017 Shamoon wiper malware attacks on several companies in the Middle East and Europe to APT 33.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as Magnallium and Elfin. Suspected to be linked to the Shamoon malware attacks in 2018.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States, Saudi Arabia, South Korea
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor is an Iranian state-sponsored APT that targets private-sector entities in the aviation, energy, and petrochemical sectors for the purpose of espionage. It first became active in late 2015 or early 2016, and has been involved in a three-year campaign against multiple firms in the United States and Saudi Arabia. On December 19, 2018, McAfee attributed the 2016 and 2017 Shamoon wiper malware attacks on several companies in the Middle East and Europe to APT 33.
Date and Time of Incident:
9/20/2017
Impact Assessment:
The attack likely disrupted operations of United States, Saudi Arabia, South Korea in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted Ethiopian dissidents for the purpose of espionage, using commercially available spyware sold by Cyberbit, an Israel-based company. Cyberbit is also believed to have tried to sell its spyware to law enforcement and national security organizations in the Philippines, Thailand, Uzbekistan, and Zambia.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Ethiopian dissidents
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted Ethiopian dissidents for the purpose of espionage, using commercially available spyware sold by Cyberbit, an Israel-based company. Cyberbit is also believed to have tried to sell its spyware to law enforcement and national security organizations in the Philippines, Thailand, Uzbekistan, and Zambia.
Date and Time of Incident:
12/6/2017
Impact Assessment:
The attack likely disrupted operations of Ethiopian dissidents in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted servers controlled by the Swiss Federal Department of Defense, Civil Protection, and Sports.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Turla
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Switzerland
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted servers controlled by the Swiss Federal Department of Defense, Civil Protection, and Sports.
Date and Time of Incident:
9/15/2017
Impact Assessment:
The attack likely disrupted operations of Switzerland in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement https://www.admin.ch/gov/en/start/documentation/media-releases.msg-id-68135.html
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted cryptocurrency exchanges in South Korea for the purpose of raising money.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of a subset of the Lazarus Group known as Bluenoroff
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Cryptocurrency exchanges in South Korea
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted cryptocurrency exchanges in South Korea for the purpose of raising money.
Date and Time of Incident:
9/11/2017
Impact Assessment:
The attack likely disrupted operations of Cryptocurrency exchanges in South Korea in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>Using a tool called Bad Rabbit, a threat actor launched a ransomware operation that encrypted data on networks in Bulgaria, Japan, Russia, Turkey, and Ukraine. The operation is believed to have disrupted the Kiev metro system's payment network and delayed flights at Odessa's airport. In October 2018, the United Kingdom attributed this incident to Russian military intelligence.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Ukraine, Japan, Russia, Bulgaria, Turkey
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
Using a tool called Bad Rabbit, a threat actor launched a ransomware operation that encrypted data on networks in Bulgaria, Japan, Russia, Turkey, and Ukraine. The operation is believed to have disrupted the Kiev metro system's payment network and delayed flights at Odessa's airport. In October 2018, the United Kingdom attributed this incident to Russian military intelligence.
Date and Time of Incident:
10/24/2017
Impact Assessment:
The attack likely disrupted operations of Ukraine, Japan, Russia, Bulgaria, Turkey in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets governments, primarily in the Middle East and South Asia, for espionage purposes.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as TEMP.Zagros and Seedworm.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Saudi Arabia, Iraq, United Arab Emirates, Georgia, Israel, Pakistan, Turkey, India, United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets governments, primarily in the Middle East and South Asia, for espionage purposes.
Date and Time of Incident:
11/14/2017
Impact Assessment:
The attack likely disrupted operations of Saudi Arabia, Iraq, United Arab Emirates, Georgia, Israel, Pakistan, Turkey, India, United States in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromises the networks of the International Association of Athletics Federations with the purpose of obtaining the medical records of athletes. In October 2018, the United States indicted seven alleged Russian military intelligence officials involved in the incident.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
International Association of Athletics Federations
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromises the networks of the International Association of Athletics Federations with the purpose of obtaining the medical records of athletes. In October 2018, the United States indicted seven alleged Russian military intelligence officials involved in the incident.
Date and Time of Incident:
4/3/2017
Impact Assessment:
The attack likely disrupted operations of International Association of Athletics Federations in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement http://www.reuters.com/article/us-sport-doping-iaaf-idUSKBN1750ZM
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted individuals who were political critics and business rivals of Ricardo Martinelli, president of Panama between 2009 and 2014, for espionage purposes. The threat actor uses the Pegasus tool, created by the NSO Group.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Panama
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted individuals who were political critics and business rivals of Ricardo Martinelli, president of Panama between 2009 and 2014, for espionage purposes. The threat actor uses the Pegasus tool, created by the NSO Group.
Date and Time of Incident:
6/20/2017
Impact Assessment:
The attack likely disrupted operations of Panama in the Civil society, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised the networks of Far Eastern International Bank in Taiwan, allowing them to transfer US$60 million to accounts based in the United States, Cambodia, and Sri Lanka using the SWIFT network.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of the Lazarus Group
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Far Eastern International Bank
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised the networks of Far Eastern International Bank in Taiwan, allowing them to transfer US$60 million to accounts based in the United States, Cambodia, and Sri Lanka using the SWIFT network.
Date and Time of Incident:
10/7/2017
Impact Assessment:
The attack likely disrupted operations of Far Eastern International Bank in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised Islam Channel, a small UK TV station, in July 2015. In October 2018, the United Kingdom publicly attributed the compromise to Russian military intelligence.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Islam Channel
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised Islam Channel, a small UK TV station, in July 2015. In October 2018, the United Kingdom publicly attributed the compromise to Russian military intelligence.
Date and Time of Incident:
3/30/2017
Impact Assessment:
The attack likely disrupted operations of Islam Channel in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement https://www.ncsc.gov.uk/news/reckless-campaign-cyber-attacks-russian-military-intelligence-service-exposed
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets defense contractors, law firms, engineering firms, shipping companies, and government agencies with responsibilities or business in the maritime industry.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as TEMP.Periscope, Leviathan, and Mudcarp. Believed to be behind the compromise of Cambodia’s election organizations and the Target of universities' maritime military secrets.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States, The Philippines, Asia Pacific Economic Cooperation, Hong Kong, Malaysia
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets defense contractors, law firms, engineering firms, shipping companies, and government agencies with responsibilities or business in the maritime industry.
Date and Time of Incident:
10/16/2017
Impact Assessment:
The attack likely disrupted operations of United States, The Philippines, Asia Pacific Economic Cooperation, Hong Kong, Malaysia in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>Threat actors deploy a tool, called NotPetya, with the purpose of encrypting data on victims' machines and rendering it unusable. The malware was spread through tax software that companies and individuals require for filing taxes in Ukraine. Australia, Estonia, Denmark, Lithuania, Ukraine, the United Kingdom, and the United States issued statements attributing NotPetya to Russian state-sponsored actors. In June 2018, the United States sanctioned Russian organizations believed to have assisted the Russian state-sponsored actors with the operation. <|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Possibly linked to Sandworm.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Rosneft, WPP Plc., Maersk, Cie de Saint-Gobain, SNCF, Merck, Mondelez, Port of Rosario, Kyivenergo, The government of Ukraine
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
Threat actors deploy a tool, called NotPetya, with the purpose of encrypting data on victims' machines and rendering it unusable. The malware was spread through tax software that companies and individuals require for filing taxes in Ukraine. Australia, Estonia, Denmark, Lithuania, Ukraine, the United Kingdom, and the United States issued statements attributing NotPetya to Russian state-sponsored actors. In June 2018, the United States sanctioned Russian organizations believed to have assisted the Russian state-sponsored actors with the operation.
Date and Time of Incident:
7/1/2017
Impact Assessment:
The attack likely disrupted operations of Rosneft, WPP Plc., Maersk, Cie de Saint-Gobain, SNCF, Merck, Mondelez, Port of Rosario, Kyivenergo, The government of Ukraine in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement https://ssu.gov.ua/en/news/1/category/2/view/3660#.HyeD9NJ6.dpbs
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor, using a tool called JadeRAT, targets the mobile phones of ethnic minorities in China, notably Uighurs, for the purpose of espionage.
<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Possibly linked to APT 30
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Ethnic minorities in China
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor, using a tool called JadeRAT, targets the mobile phones of ethnic minorities in China, notably Uighurs, for the purpose of espionage.
Date and Time of Incident:
10/20/2017
Impact Assessment:
The attack likely disrupted operations of Ethnic minorities in China in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets organizations in the critical infrastructure, heavy industry, manufacturing, and international relations sectors for espionage purposes.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as Tick and RedBaldKnight
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Japan, Korea (Republic of), Russian Federation, China, Mitsubishi Group
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets organizations in the critical infrastructure, heavy industry, manufacturing, and international relations sectors for espionage purposes.
Date and Time of Incident:
10/12/2017
Impact Assessment:
The attack likely disrupted operations of Japan, Korea (Republic of), Russian Federation, China, Mitsubishi Group in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>The U.S. Department of Justice indicted three members of Boyusec, a China-based internet security firm, on charges including conspiring to commit computer fraud and abuse and conspiring to commit trade-secret theft. The victims included Moody’s Analytics, Siemens, and Trimble. Though not mentioned in the indictment, Boyusec is believed to work on behalf of China’s Ministry of State Security.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Moody's Analytics, Siemens, Trimble
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
The U.S. Department of Justice indicted three members of Boyusec, a China-based internet security firm, on charges including conspiring to commit computer fraud and abuse and conspiring to commit trade-secret theft. The victims included Moody’s Analytics, Siemens, and Trimble. Though not mentioned in the indictment, Boyusec is believed to work on behalf of China’s Ministry of State Security.
Date and Time of Incident:
11/27/2017
Impact Assessment:
The attack likely disrupted operations of Moody's Analytics, Siemens, Trimble in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement https://www.justice.gov/opa/pr/us-charges-three-chinese-hackers-who-work-internet-security-firm-hacking-three-corporations
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets managed information technology service providers to access client information for espionage purposes. APT 10 has been active since at least 2009.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as Cloud Hopper, Red Apollo, CNVX, Stone Panda, MenuPass, and POTASSIUM. Believed to be a part of the Tianjin bureau of the Chinese Ministry of State Security.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Japan, United States, United Kingdom, India, Canada, Brazil, South Africa, Australia, Thailand, South Korea, France, Switzerland, Sweden, Finland, Norway, New Zealand
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets managed information technology service providers to access client information for espionage purposes. APT 10 has been active since at least 2009.
Date and Time of Incident:
4/4/2017
Impact Assessment:
The attack likely disrupted operations of Japan, United States, United Kingdom, India, Canada, Brazil, South Africa, Australia, Thailand, South Korea, France, Switzerland, Sweden, Finland, Norway, New Zealand in the Private sector, Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor, believed to be the Israeli government, compromised Kaspersky Labs, a Russia-based cybersecurity company. The compromise of Kaspersky allegedly led Israeli intelligence to tip off U.S. officials that a former contractor had classified data from the National Security Agency on his home computer.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of the same threat actors who used the Duqu 2.0 tool.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Kaspersky Labs
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor, believed to be the Israeli government, compromised Kaspersky Labs, a Russia-based cybersecurity company. The compromise of Kaspersky allegedly led Israeli intelligence to tip off U.S. officials that a former contractor had classified data from the National Security Agency on his home computer.
Date and Time of Incident:
10/10/2017
Impact Assessment:
The attack likely disrupted operations of Kaspersky Labs in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets organizations in the financial, energy, government, chemical, and telecommunications sectors worldwide for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Possibly linked to OilRig
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
nan
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets organizations in the financial, energy, government, chemical, and telecommunications sectors worldwide for the purpose of espionage.
Date and Time of Incident:
12/7/2017
Impact Assessment:
The attack likely disrupted operations of nan in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>Greenbug is believed to be an Iranian threat actor with ties to the group behind the Shamoon malware. It has previously used off-the-shelf tools and living-off-the-land techniques to gain access to South Asian telecommunication companies’ servers. It has also used custom remote access trojans (RAT) to steal information and credentials from Middle Eastern targets.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
South Asian telecommunication providers, Middle Eastern government, aviation, education, and investment organizations
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
Greenbug is believed to be an Iranian threat actor with ties to the group behind the Shamoon malware. It has previously used off-the-shelf tools and living-off-the-land techniques to gain access to South Asian telecommunication companies’ servers. It has also used custom remote access trojans (RAT) to steal information and credentials from Middle Eastern targets.
Date and Time of Incident:
1/23/2017
Impact Assessment:
The attack likely disrupted operations of South Asian telecommunication providers, Middle Eastern government, aviation, education, and investment organizations in the nan.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted the government of Belarus for espionage purposes, using a tool known as Travle or PYLOT, which is believed to be an update of malware used by NetTraveler.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Possibly linked to NetTraveler
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Belarus
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted the government of Belarus for espionage purposes, using a tool known as Travle or PYLOT, which is believed to be an update of malware used by NetTraveler.
Date and Time of Incident:
9/28/2017
Impact Assessment:
The attack likely disrupted operations of Belarus in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted the China Digital Times, a civil-society and news organization based outside China that publishes English- and Chinese-language content, using phishing techniques with the goal of compromising its network.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Winnti Umbrella
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted the China Digital Times, a civil-society and news organization based outside China that publishes English- and Chinese-language content, using phishing techniques with the goal of compromising its network.
Date and Time of Incident:
7/5/2017
Impact Assessment:
The attack likely disrupted operations of United States in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor attempted to gain access to email accounts associated with members and other staffers of the British Parliament. The incident, originally believed to be the work of Russian or North Korean actors, was later attributed to Iran.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
UK Parliament
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor attempted to gain access to email accounts associated with members and other staffers of the British Parliament. The incident, originally believed to be the work of Russian or North Korean actors, was later attributed to Iran.
Date and Time of Incident:
6/25/2017
Impact Assessment:
The attack likely disrupted operations of UK Parliament in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets government institutions, universities, defense contractors, and large IT companies for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Israel, Saudi Arabia, United States, Jordan, Germany
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets government institutions, universities, defense contractors, and large IT companies for the purpose of espionage.
Date and Time of Incident:
7/25/2017
Impact Assessment:
The attack likely disrupted operations of Israel, Saudi Arabia, United States, Jordan, Germany in the Government, Private sector, Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised the computer networks of the Ministry of Foreign Affairs of the Czech Republic, including those used by the foreign minister and close aides.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Czech Republic
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised the computer networks of the Ministry of Foreign Affairs of the Czech Republic, including those used by the foreign minister and close aides.
Date and Time of Incident:
1/31/2017
Impact Assessment:
The attack likely disrupted operations of Czech Republic in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets government organizations with a foreign policy role primarily in Latin America for espionage purposes. The threat actor uses the tools Felismus and Starloader.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Argentina, Brazil, Peru, Ecuador, Brunei, Malaysia
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets government organizations with a foreign policy role primarily in Latin America for espionage purposes. The threat actor uses the tools Felismus and Starloader.
Date and Time of Incident:
11/7/2017
Impact Assessment:
The attack likely disrupted operations of Argentina, Brazil, Peru, Ecuador, Brunei, Malaysia in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted U.S. electric companies with spear-phishing emails in an attempt to gain access to internal networks.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted U.S. electric companies with spear-phishing emails in an attempt to gain access to internal networks.
Date and Time of Incident:
10/10/2017
Impact Assessment:
The attack likely disrupted operations of United States in the nan.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>Qatar claims the website of the Qatar News Agency was compromised by an unknown actor, who posted false remarks attributed to the Emir of Qatar that expressed support for Iran, Israel, Hezbollah and Hamas. The Washington Post reports that U.S. intelligence officials have identified the unknown actor as the United Arab Emirates.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Qatar News Agency
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
Qatar claims the website of the Qatar News Agency was compromised by an unknown actor, who posted false remarks attributed to the Emir of Qatar that expressed support for Iran, Israel, Hezbollah and Hamas. The Washington Post reports that U.S. intelligence officials have identified the unknown actor as the United Arab Emirates.
Date and Time of Incident:
7/16/2017
Impact Assessment:
The attack likely disrupted operations of Qatar News Agency in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement https://www.reuters.com/article/us-gulf-qatar-emirates-statement/qatar-accuses-uae-of-hack-that-sparked-gulf-crisis-idUSKBN1A21H8
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted the computer networks of the Norwegian government: the Ministry of Foreign Affairs, the army, a nuclear radiation protection agency, and a parliamentary group.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of the Dukes
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Norway
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted the computer networks of the Norwegian government: the Ministry of Foreign Affairs, the army, a nuclear radiation protection agency, and a parliamentary group.
Date and Time of Incident:
2/4/2017
Impact Assessment:
The attack likely disrupted operations of Norway in the Government, Military.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement http://www.tv2.no/nyheter/8903847/
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor used a tool called ViperRAT to target Israeli Defense Force personnel and compromise devices running the Android operating system, allowing a remote actor to access the devices' video and audio capabilities as well as text message and location data.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Israel Defense Force
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor used a tool called ViperRAT to target Israeli Defense Force personnel and compromise devices running the Android operating system, allowing a remote actor to access the devices' video and audio capabilities as well as text message and location data.
Date and Time of Incident:
2/16/2017
Impact Assessment:
The attack likely disrupted operations of Israel Defense Force in the Military.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targets journalists, lawyers, and other civil society groups in Mexico using commercial malware, developed by the NSO Group, for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Aristegui Noticias, Carlos Loret de Mola, Mexicans against Corruption and Impunity, Centro PRODH, Mexican Institute for Competitiveness
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targets journalists, lawyers, and other civil society groups in Mexico using commercial malware, developed by the NSO Group, for the purpose of espionage.
Date and Time of Incident:
6/19/2017
Impact Assessment:
The attack likely disrupted operations of Aristegui Noticias, Carlos Loret de Mola, Mexicans against Corruption and Impunity, Centro PRODH, Mexican Institute for Competitiveness in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>U.S. government officials told the Washington Post that the United States had launched a denial of service campaign against North Korea's Reconnaissance General Bureau, the country's intelligence agency.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
North Korea
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
U.S. government officials told the Washington Post that the United States had launched a denial of service campaign against North Korea's Reconnaissance General Bureau, the country's intelligence agency.
Date and Time of Incident:
9/30/2017
Impact Assessment:
The attack likely disrupted operations of North Korea in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor launched a distributed denial of service attack against government of Montenegro websites.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Montenegro
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor launched a distributed denial of service attack against government of Montenegro websites.
Date and Time of Incident:
2/17/2017
Impact Assessment:
The attack likely disrupted operations of Montenegro in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised an internet-facing computer network in the Ministry of Defense of Singapore, compromising the personal data of approximately 850 servicemen and employees.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Ministry of Defense
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised an internet-facing computer network in the Ministry of Defense of Singapore, compromising the personal data of approximately 850 servicemen and employees.
Date and Time of Incident:
2/28/2017
Impact Assessment:
The attack likely disrupted operations of Ministry of Defense in the Military.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor, believed to be the United States, targeted computer networks and electronic components associated with the North Korean nuclear program to sabotage and slow its development.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
North Korea
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor, believed to be the United States, targeted computer networks and electronic components associated with the North Korean nuclear program to sabotage and slow its development.
Date and Time of Incident:
3/4/2017
Impact Assessment:
The attack likely disrupted operations of North Korea in the Military.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted the presidential campaign of U.S. Senator Marco Rubio.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
The 2016 presidential campaign of Marco Rubio
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted the presidential campaign of U.S. Senator Marco Rubio.
Date and Time of Incident:
3/30/2017
Impact Assessment:
The attack likely disrupted operations of The 2016 presidential campaign of Marco Rubio in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor compromises governments, international organizations, academic institutions, and financial, telecommunications, energy, aerospace, information technology, and natural resource industries for espionage purposes. Some of the tools used by this threat actor were released by Wikileaks under the name "Vault 7."<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as the Lamberts
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Global
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor compromises governments, international organizations, academic institutions, and financial, telecommunications, energy, aerospace, information technology, and natural resource industries for espionage purposes. Some of the tools used by this threat actor were released by Wikileaks under the name "Vault 7."
Date and Time of Incident:
4/10/2017
Impact Assessment:
The attack likely disrupted operations of Global in the Private sector, Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted officials from Montenegro for the purpose of espionage. The phishing campaign came during the country’s accession to NATO.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
Montenegro
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted officials from Montenegro for the purpose of espionage. The phishing campaign came during the country’s accession to NATO.
Date and Time of Incident:
6/6/2017
Impact Assessment:
The attack likely disrupted operations of Montenegro in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised an email service maintained by the Danish Ministry of Defense, and is also believed to have compromised Ministry of Foreign Affairs networks.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Denmark
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised an email service maintained by the Danish Ministry of Defense, and is also believed to have compromised Ministry of Foreign Affairs networks.
Date and Time of Incident:
4/23/2017
Impact Assessment:
The attack likely disrupted operations of Denmark in the Military, Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement https://fe-ddis.dk/cfcs/nyheder/arkiv/2017/Pages/Udenlandskaktoerspionerermoddanskemyndigheder.aspx
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted the campaign of French presidential candidate Emmanuel Macron. The U.S. National Security Agency has confirmed that it believes Russia was responsible.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Emmanuel Macron's 2017 presidential election campaign
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted the campaign of French presidential candidate Emmanuel Macron. The U.S. National Security Agency has confirmed that it believes Russia was responsible.
Date and Time of Incident:
4/26/2017
Impact Assessment:
The attack likely disrupted operations of Emmanuel Macron's 2017 presidential election campaign in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets entities in the government, energy, and technology sectors that are located in or do business with Saudi Arabia.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Also known as Cobalt Gypsy and possibly associated with Rocket Kitten
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Saudi Arabia
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets entities in the government, energy, and technology sectors that are located in or do business with Saudi Arabia.
Date and Time of Incident:
2/15/2017
Impact Assessment:
The attack likely disrupted operations of Saudi Arabia in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets defense contractors and diplomatic institutions for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Associated with Turla
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States, United Kingdom, Uzbekistan, South Korea
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets defense contractors and diplomatic institutions for the purpose of espionage.
Date and Time of Incident:
8/30/2017
Impact Assessment:
The attack likely disrupted operations of United States, United Kingdom, Uzbekistan, South Korea in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised the Italian Ministry of Foreign Affairs’ computer networks.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Italy
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised the Italian Ministry of Foreign Affairs’ computer networks.
Date and Time of Incident:
2/10/2017
Impact Assessment:
The attack likely disrupted operations of Italy in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets critical infrastructure entities in the oil and gas sector, primarily in Ukraine. The threat actors deploy the BugDrop malware to remotely access the microphones in their targets' computers to eavesdrop on conversations.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Ukraine, Russia, Saudi Arabia, Austria
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets critical infrastructure entities in the oil and gas sector, primarily in Ukraine. The threat actors deploy the BugDrop malware to remotely access the microphones in their targets' computers to eavesdrop on conversations.
Date and Time of Incident:
2/17/2017
Impact Assessment:
The attack likely disrupted operations of Ukraine, Russia, Saudi Arabia, Austria in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targeted employees of companies that operate nuclear power plants in the United States, which prompted the Department of Homeland Security and the FBI to issue an alert to the industry. An administrative network of the Wolf Creek Nuclear Operating Corporation was compromised.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United States
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targeted employees of companies that operate nuclear power plants in the United States, which prompted the Department of Homeland Security and the FBI to issue an alert to the industry. An administrative network of the Wolf Creek Nuclear Operating Corporation was compromised.
Date and Time of Incident:
6/30/2017
Impact Assessment:
The attack likely disrupted operations of United States in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor conducted a spear-phishing campaign against more than 1,800 Google accounts, including those of military and government personnel, journalists, and nongovernmental organizations, for the purpose of espionage.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of APT 28
Attack Techniques:
Phishing or vulnerability exploitation
Affected Organizations:
United States, European Union
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor conducted a spear-phishing campaign against more than 1,800 Google accounts, including those of military and government personnel, journalists, and nongovernmental organizations, for the purpose of espionage.
Date and Time of Incident:
6/26/2016
Impact Assessment:
The attack likely disrupted operations of United States, European Union in the Government, Private sector, Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets and compromises entities primarily in South Korea and South Korean interests for espionage, disruption, and destruction. It has also been known to conduct cyber operations for financial gain, including targeting cryptocurrency exchanges. In 2018, the U.S. Department of Homeland Security issued a malware analysis report on a tool called Typeframe used by the Lazarus Group.
In September 2018, the U.S. Department of Justice criminally charged and sanctioned Park Jin-hyok and Chosun Expo Joint Venture, alleged members of this threat actor.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be responsible for Dark Seoul, Ten Days of Rain, the Sony Pictures Entertainment attack, the SWIFT-related bank heists, WannaCry, and Operation GhostSecret. Believed to use the same tools as Covellite. Known to the U.S. government as Hidden Cobra.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
South Korea, Sony Pictures Entertainment , United States, Bangladesh Bank, Defense companies in Israel and the Middle East, Global banks, U.S. defense contractors
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets and compromises entities primarily in South Korea and South Korean interests for espionage, disruption, and destruction. It has also been known to conduct cyber operations for financial gain, including targeting cryptocurrency exchanges. In 2018, the U.S. Department of Homeland Security issued a malware analysis report on a tool called Typeframe used by the Lazarus Group.
In September 2018, the U.S. Department of Justice criminally charged and sanctioned Park Jin-hyok and Chosun Expo Joint Venture, alleged members of this threat actor.
Date and Time of Incident:
2/1/2016
Impact Assessment:
The attack likely disrupted operations of South Korea, Sony Pictures Entertainment , United States, Bangladesh Bank, Defense companies in Israel and the Middle East, Global banks, U.S. defense contractors in the Government, Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Sanctions https://fcw.com/articles/2019/09/13/dprk-cyber-sanctions-johnson.aspx
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor used malware known as Shamoon 2.0 to exfiltrate and delete data from computers in the Saudi transportation sector.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to have been partially the work of Chrysene
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
General Authority of Civil Aviation of Saudi Arabia
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor used malware known as Shamoon 2.0 to exfiltrate and delete data from computers in the Saudi transportation sector.
Date and Time of Incident:
12/1/2016
Impact Assessment:
The attack likely disrupted operations of General Authority of Civil Aviation of Saudi Arabia in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor targets the worldwide financial transfer mechanism known as SWIFT to steal funds from banks in Bangladesh, Vietnam, Ecuador, and Poland. This is the first instance in where a state-sponsored actor was discovered to have compromised networks for financial gain.
In September 2018, the U.S. Department of Justice announced criminal charges alleging that North Korean entities were responsible for this incident.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Lazarus Group
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Bangladesh Central Bank, Tien Phong Bank, Banco Del Austro, Poland
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor targets the worldwide financial transfer mechanism known as SWIFT to steal funds from banks in Bangladesh, Vietnam, Ecuador, and Poland. This is the first instance in where a state-sponsored actor was discovered to have compromised networks for financial gain.
In September 2018, the U.S. Department of Justice announced criminal charges alleging that North Korean entities were responsible for this incident.
Date and Time of Incident:
5/26/2016
Impact Assessment:
The attack likely disrupted operations of Bangladesh Central Bank, Tien Phong Bank, Banco Del Austro, Poland in the Government.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Criminal charges https://www.justice.gov/opa/press-release/file/1092091/download
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised computers associated with the South Korean Ministry of National Defense. In October 2017, South Korean officials confirmed that North Korea had exfiltrated over two hundred gigabytes of data from the defense ministry networks, including military plans the United States and South Korea would implement in the event of a war with North Korea.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
South Korea
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised computers associated with the South Korean Ministry of National Defense. In October 2017, South Korean officials confirmed that North Korea had exfiltrated over two hundred gigabytes of data from the defense ministry networks, including military plans the United States and South Korea would implement in the event of a war with North Korea.
Date and Time of Incident:
12/6/2016
Impact Assessment:
The attack likely disrupted operations of South Korea in the Military.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
Denouncement http://english.yonhapnews.co.kr/news/2016/12/05/0200000000AEN20161205010451315.html
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor launched a denial of service attack on ten news websites in Sweden, triggering a local police investigation. U.S. diplomatic cables later revealed that the United States suspected that Russia was responsible for the incident.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Sweden
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor launched a denial of service attack on ten news websites in Sweden, triggering a local police investigation. U.S. diplomatic cables later revealed that the United States suspected that Russia was responsible for the incident.
Date and Time of Incident:
3/19/2016
Impact Assessment:
The attack likely disrupted operations of Sweden in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>A threat actor compromised Ukrainian banks.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with Believed to be the work of Sandworm.
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
Ukraine
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
A threat actor compromised Ukrainian banks.
Date and Time of Incident:
12/13/2016
Impact Assessment:
The attack likely disrupted operations of Ukraine in the Private sector.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an AI cybersecurity expert, you are tasked to extract information from an unstructured cybersecurity report and organize them properly for better understanding and analysis of the report. Follow this format:
Malware Names:
Attack Techniques:
Affected Organizations:
Vulnerabilities:
Incident Summary:
Date and Time of Incident:
Impact Assessment:
Detection Method:
Affected Systems:
Response Actions:
Root Cause Analysis:
Indicators of Compromise (IoCs):
Communication and Notification:
Lessons Learned:
Follow-up Actions:<|eot_id|><|start_header_id|>user<|end_header_id|>This threat actor targets civil society groups and Emirati journalists, activists, and dissidents.<|eot_id|><|start_header_id|>assistant<|end_header_id|>Malware Names:
Malware associated with nan
Attack Techniques:
Possible techniques include phishing, malware injection, exploiting unpatched vulnerabilities, or leveraging supply chain weaknesses, based on the incident details.
Affected Organizations:
United Arab Emirates, United Kingdom
Vulnerabilities:
Potential vulnerabilities could include unpatched software, misconfigured systems, or social engineering entry points based on the context of the attack..
Incident Summary:
This threat actor targets civil society groups and Emirati journalists, activists, and dissidents.
Date and Time of Incident:
5/29/2016
Impact Assessment:
The attack likely disrupted operations of United Arab Emirates, United Kingdom in the Civil society.
Detection Method:
Detection methods may have involved monitoring network traffic, anomaly detection systems, or threat intelligence feeds..
Affected Systems:
Likely affected systems include endpoints such as user workstations, servers, or communication systems mentioned in the attack context..
Response Actions:
nan
Root Cause Analysis:
Likely caused by inadequate security controls.
Indicators of Compromise (IoCs):
Possible Indicators of Compromise include suspicious IP addresses, unusual login attempts, malicious file hashes, or domain names related to the incident..
Lessons Learned:
Organizations should enhance monitoring, patch vulnerabilities, and conduct regular training for threat awareness.
Follow-up Actions:
Perform a comprehensive forensic analysis, notify affected stakeholders, and implement improved security controls.
<|eot_id|> |
Subsets and Splits