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<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 operates a broad and long-running campaign of SWCs and has compromised approximately 100 websites as of this publication .' [/INST] [TG-3390:S-APT, operates:O, a:O, broad:O, and:O, long-running:O, campaign:O, of:O, SWCs:S-TOOL, and:O, has:O, compromised:O, approximately:O, 100:O, websites:O, as:O, of:O, this:O, publication:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Through an IP address whitelisting process , the threat group selectively targets visitors to these websites .' [/INST] [Through:O, an:O, IP:O, address:O, whitelisting:O, process:O, ,:O, the:O, threat:O, group:O, selectively:O, targets:O, visitors:O, to:O, these:O, websites:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After the initial compromise , TG-3390 delivers the HttpBrowser backdoor to its victims .' [/INST] [After:O, the:O, initial:O, compromise:O, ,:O, TG-3390:S-APT, delivers:O, the:O, HttpBrowser:B-MAL, backdoor:E-MAL, to:O, its:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actors then move quickly to compromise Microsoft Exchange servers and to gain complete control of the target environment .' [/INST] [The:O, threat:O, actors:O, then:O, move:O, quickly:O, to:O, compromise:O, Microsoft:S-IDTY, Exchange:S-TOOL, servers:O, and:O, to:O, gain:O, complete:O, control:O, of:O, the:O, target:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actors are adept at identifying key data stores and selectively exfiltrating all of the high-value information associated with their goal .' [/INST] [The:O, threat:O, actors:O, are:O, adept:O, at:O, identifying:O, key:O, data:O, stores:O, and:O, selectively:O, exfiltrating:O, all:O, of:O, the:O, high-value:O, information:O, associated:O, with:O, their:O, goal:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers recommend the following practices to prevent or detect TG-3390 intrusions :' [/INST] [CTU:S-SECTEAM, researchers:O, recommend:O, the:O, following:O, practices:O, to:O, prevent:O, or:O, detect:O, TG-3390:S-APT, intrusions:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Search web log files for evidence of web server scanning using the URIs listed in the Exploitation section and evidence of Exfiltration using the User-Agent in the Actions on objective section .' [/INST] [Search:O, web:O, log:O, files:O, for:O, evidence:O, of:O, web:O, server:O, scanning:O, using:O, the:O, URIs:O, listed:O, in:O, the:O, Exploitation:O, section:O, and:O, evidence:O, of:O, Exfiltration:S-ACT, using:O, the:O, User-Agent:S-TOOL, in:O, the:O, Actions:O, on:O, objective:O, section:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Require two-factor authentication for all remote access solutions , including OWA .' [/INST] [Require:O, two-factor:O, authentication:O, for:O, all:O, remote:O, access:O, solutions:O, ,:O, including:O, OWA:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Audit ISAPI filters and search for web shells on Microsoft Exchange servers .' [/INST] [Audit:O, ISAPI:S-TOOL, filters:O, and:O, search:O, for:O, web:O, shells:O, on:O, Microsoft:S-IDTY, Exchange:S-TOOL, servers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers infer intent by aggregating observations , analyzing a threat group's activity , and placing the information in a wider context .' [/INST] [CTU:S-SECTEAM, researchers:O, infer:O, intent:O, by:O, aggregating:O, observations:O, ,:O, analyzing:O, a:O, threat:O, group's:O, activity:O, ,:O, and:O, placing:O, the:O, information:O, in:O, a:O, wider:O, context:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Like many threat groups , TG-3390 conducts strategic web compromises ( SWCs ) , also known as watering hole attacks , on websites associated with the target organization's vertical or demographic to increase the likelihood of finding victims with relevant information .' [/INST] [Like:O, many:O, threat:O, groups:O, ,:O, TG-3390:S-APT, conducts:O, strategic:B-TOOL, web:I-TOOL, compromises:E-TOOL, (:O, SWCs:S-TOOL, ):O, ,:O, also:O, known:O, as:O, watering:B-ACT, hole:E-ACT, attacks:O, ,:O, on:O, websites:O, associated:O, with:O, the:O, target:O, organization's:O, vertical:O, or:O, demographic:O, to:O, increase:O, the:O, likelihood:O, of:O, finding:O, victims:O, with:O, relevant:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers assess with high confidence that TG-3390 uses information gathered from prior reconnaissance activities to selectively compromise users who visit websites under its control .' [/INST] [CTU:S-SECTEAM, researchers:O, assess:O, with:O, high:O, confidence:O, that:O, TG-3390:S-APT, uses:O, information:O, gathered:O, from:O, prior:O, reconnaissance:O, activities:O, to:O, selectively:O, compromise:O, users:O, who:O, visit:O, websites:O, under:O, its:O, control:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Most websites compromised by TG-3390 actors are affiliated with five types of organizations around the world :' [/INST] [Most:O, websites:O, compromised:O, by:O, TG-3390:S-APT, actors:O, are:O, affiliated:O, with:O, five:O, types:O, of:O, organizations:O, around:O, the:O, world:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'large manufacturing companies , particularly those supplying defense organizations , energy companies , embassies in Washington , DC representing countries in the Middle East , Europe , and Asia , likely to target U.S. based users involved in international relations , non-governmental organizations ( NGOs ) , particularly those focused on international relations and defense , government organizations .' [/INST] [large:O, manufacturing:O, companies:O, ,:O, particularly:O, those:O, supplying:O, defense:O, organizations:O, ,:O, energy:O, companies:O, ,:O, embassies:O, in:O, Washington:S-LOC, ,:O, DC:S-IDTY, representing:O, countries:O, in:O, the:O, Middle:B-LOC, East:E-LOC, ,:O, Europe:S-LOC, ,:O, and:O, Asia:S-LOC, ,:O, likely:O, to:O, target:O, U.S.:S-LOC, based:O, users:O, involved:O, in:O, international:O, relations:O, ,:O, non-governmental:O, organizations:O, (:O, NGOs:O, ):O, ,:O, particularly:O, those:O, focused:O, on:O, international:O, relations:O, and:O, defense:O, ,:O, government:O, organizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Based on this information , CTU researchers assess that TG-3390 aims to collect defense technology and capability intelligence , other industrial intelligence , and political intelligence from governments and NGOs .' [/INST] [Based:O, on:O, this:O, information:O, ,:O, CTU:S-SECTEAM, researchers:O, assess:O, that:O, TG-3390:S-APT, aims:O, to:O, collect:O, defense:O, technology:O, and:O, capability:O, intelligence:O, ,:O, other:O, industrial:O, intelligence:O, ,:O, and:O, political:O, intelligence:O, from:O, governments:O, and:O, NGOs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To assess attribution , CTU researchers analyze observed activity , third-party reporting , and contextual intelligence .' [/INST] [To:O, assess:O, attribution:O, ,:O, CTU:S-SECTEAM, researchers:O, analyze:O, observed:O, activity:O, ,:O, third-party:O, reporting:O, ,:O, and:O, contextual:O, intelligence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For the following reasons , CTU researchers assess with moderate confidence that TG-3390 has a Chinese nexus :' [/INST] [For:O, the:O, following:O, reasons:O, ,:O, CTU:S-SECTEAM, researchers:O, assess:O, with:O, moderate:O, confidence:O, that:O, TG-3390:S-APT, has:O, a:O, Chinese:O, nexus:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The SWC of a Uyghur cultural website suggests intent to target the Uyghur ethnic group , a Muslim minority group primarily found in the Xinjiang region of China .' [/INST] [The:O, SWC:S-TOOL, of:O, a:O, Uyghur:O, cultural:O, website:O, suggests:O, intent:O, to:O, target:O, the:O, Uyghur:O, ethnic:O, group:O, ,:O, a:O, Muslim:O, minority:O, group:O, primarily:O, found:O, in:O, the:O, Xinjiang:S-LOC, region:O, of:O, China:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Threat groups outside of China are unlikely to target the Uyghur people .' [/INST] [Threat:O, groups:O, outside:O, of:O, China:S-LOC, are:O, unlikely:O, to:O, target:O, the:O, Uyghur:O, people:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 uses the PlugX remote access tool .' [/INST] [TG-3390:S-APT, uses:O, the:O, PlugX:S-MAL, remote:O, access:O, tool:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The menus for PlugX 's server-side component are written exclusively in Standard Chinese ( Mandarin ) , suggesting that PlugX operators are familiar with this language .' [/INST] [The:O, menus:O, for:O, PlugX:S-MAL, 's:O, server-side:O, component:O, are:O, written:O, exclusively:O, in:O, Standard:B-TOOL, Chinese:E-TOOL, (:O, Mandarin:S-TOOL, ):O, ,:O, suggesting:O, that:O, PlugX:S-MAL, operators:O, are:O, familiar:O, with:O, this:O, language:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers have observed TG-3390 activity between 04:00 and 09:00 UTC , which is 12:00 to 17:00 local time in China ( UTC +8 ) .' [/INST] [CTU:S-SECTEAM, researchers:O, have:O, observed:O, TG-3390:S-APT, activity:O, between:O, 04:00:S-TIME, and:O, 09:00:S-TIME, UTC:O, ,:O, which:O, is:O, 12:00:S-TIME, to:O, 17:00:S-TIME, local:O, time:O, in:O, China:S-LOC, (:O, UTC:O, +8:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The timeframe maps to the second half of the workday in China .' [/INST] [The:O, timeframe:O, maps:O, to:O, the:O, second:O, half:O, of:O, the:O, workday:O, in:O, China:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actors have used the Baidu search engine , which is only available in Chinese , to conduct reconnaissance activities .' [/INST] [The:O, threat:O, actors:O, have:O, used:O, the:O, Baidu:S-TOOL, search:O, engine:O, ,:O, which:O, is:O, only:O, available:O, in:O, Chinese:O, ,:O, to:O, conduct:O, reconnaissance:O, activities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers have observed the threat group obtaining information about specific U.S. defense projects that would be desirable to those operating within a country with a manufacturing base , an interest in U.S. military capability , or both .' [/INST] [CTU:S-SECTEAM, researchers:O, have:O, observed:O, the:O, threat:O, group:O, obtaining:O, information:O, about:O, specific:O, U.S.:S-LOC, defense:O, projects:O, that:O, would:O, be:O, desirable:O, to:O, those:O, operating:O, within:O, a:O, country:O, with:O, a:O, manufacturing:O, base:O, ,:O, an:O, interest:O, in:O, U.S.:S-LOC, military:O, capability:O, ,:O, or:O, both:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers recognize that the evidence supporting this attribution is circumstantial .' [/INST] [CTU:S-SECTEAM, researchers:O, recognize:O, that:O, the:O, evidence:O, supporting:O, this:O, attribution:O, is:O, circumstantial:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It is possible that TG-3390 is false-flag operation by a threat group outside of China that is deliberately planting indications of a Chinese origin .' [/INST] [It:O, is:O, possible:O, that:O, TG-3390:S-APT, is:O, false-flag:O, operation:O, by:O, a:O, threat:O, group:O, outside:O, of:O, China:S-LOC, that:O, is:O, deliberately:O, planting:O, indications:O, of:O, a:O, Chinese:O, origin:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 has access to proprietary tools , some of which are used exclusively by TG-3390 and others that are shared among a few Chinese threat groups .' [/INST] [TG-3390:S-APT, has:O, access:O, to:O, proprietary:O, tools:O, ,:O, some:O, of:O, which:O, are:O, used:O, exclusively:O, by:O, TG-3390:S-APT, and:O, others:O, that:O, are:O, shared:O, among:O, a:O, few:O, Chinese:O, threat:O, groups:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The complexity and continual development of these tools indicates a mature development process .' [/INST] [The:O, complexity:O, and:O, continual:O, development:O, of:O, these:O, tools:O, indicates:O, a:O, mature:O, development:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 can quickly leverage compromised network infrastructure during an operation and can conduct simultaneous intrusions into multiple environments .' [/INST] [TG-3390:S-APT, can:O, quickly:O, leverage:O, compromised:O, network:O, infrastructure:O, during:O, an:O, operation:O, and:O, can:O, conduct:O, simultaneous:O, intrusions:O, into:O, multiple:O, environments:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This ability is further demonstrated by analysis of interactions between TG-3390 operators and a target environment .' [/INST] [This:O, ability:O, is:O, further:O, demonstrated:O, by:O, analysis:O, of:O, interactions:O, between:O, TG-3390:S-APT, operators:O, and:O, a:O, target:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers found no evidence of multiple operators working simultaneously against a single organization .' [/INST] [CTU:S-SECTEAM, researchers:O, found:O, no:O, evidence:O, of:O, multiple:O, operators:O, working:O, simultaneously:O, against:O, a:O, single:O, organization:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This efficiency of operation ( a 1:1 ratio of operator to observed activity ) suggests that TG-3390 can scale to conduct the maximum number of simultaneous operations .' [/INST] [This:O, efficiency:O, of:O, operation:O, (:O, a:O, 1:1:O, ratio:O, of:O, operator:O, to:O, observed:O, activity:O, ):O, suggests:O, that:O, TG-3390:S-APT, can:O, scale:O, to:O, conduct:O, the:O, maximum:O, number:O, of:O, simultaneous:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These characteristics suggest that the threat group is well resourced and has access to a tools development team and a team focused on SWCs .' [/INST] [These:O, characteristics:O, suggest:O, that:O, the:O, threat:O, group:O, is:O, well:O, resourced:O, and:O, has:O, access:O, to:O, a:O, tools:O, development:O, team:O, and:O, a:O, team:O, focused:O, on:O, SWCs:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 's obfuscation techniques in SWCs complicate detection of malicious web traffic redirects .' [/INST] [TG-3390:S-APT, 's:O, obfuscation:O, techniques:O, in:O, SWCs:S-TOOL, complicate:O, detection:O, of:O, malicious:O, web:O, traffic:O, redirects:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Malware used by the threat group can be configured to bypass network-based detection ; however , the threat actors rarely modify host-based configuration settings when deploying payloads .' [/INST] [Malware:O, used:O, by:O, the:O, threat:O, group:O, can:O, be:O, configured:O, to:O, bypass:O, network-based:O, detection:O, ;:O, however:O, ,:O, the:O, threat:O, actors:O, rarely:O, modify:O, host-based:O, configuration:O, settings:O, when:O, deploying:O, payloads:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers have observed the threat actors installing a credential logger and backdoor on Microsoft Exchange servers , which requires a technical grasp of Internet Information Services ( IIS ) .' [/INST] [CTU:S-SECTEAM, researchers:O, have:O, observed:O, the:O, threat:O, actors:O, installing:O, a:O, credential:O, logger:O, and:O, backdoor:O, on:O, Microsoft:S-IDTY, Exchange:S-TOOL, servers:O, ,:O, which:O, requires:O, a:O, technical:O, grasp:O, of:O, Internet:B-TOOL, Information:I-TOOL, Services:E-TOOL, (:O, IIS:S-TOOL, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 uses older exploits to compromise targets , and CTU researchers have not observed the threat actors using zero-day exploits as of this publication .' [/INST] [TG-3390:S-APT, uses:O, older:O, exploits:O, to:O, compromise:O, targets:O, ,:O, and:O, CTU:S-SECTEAM, researchers:O, have:O, not:O, observed:O, the:O, threat:O, actors:O, using:O, zero-day:S-VULNAME, exploits:O, as:O, of:O, this:O, publication:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actors demonstrated the ability to adapt when reentering a network after an eviction , overcoming technical barriers constructed by network defenders .' [/INST] [The:O, threat:O, actors:O, demonstrated:O, the:O, ability:O, to:O, adapt:O, when:O, reentering:O, a:O, network:O, after:O, an:O, eviction:O, ,:O, overcoming:O, technical:O, barriers:O, constructed:O, by:O, network:O, defenders:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to using SWCs to target specific types of organizations , TG-3390 uses spearphishing emails to target specific victims .' [/INST] [In:O, addition:O, to:O, using:O, SWCs:S-TOOL, to:O, target:O, specific:O, types:O, of:O, organizations:O, ,:O, TG-3390:S-APT, uses:O, spearphishing:S-ACT, emails:S-TOOL, to:O, target:O, specific:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers assess with high confidence that the threat actors follow an established playbook during an intrusion .' [/INST] [CTU:S-SECTEAM, researchers:O, assess:O, with:O, high:O, confidence:O, that:O, the:O, threat:O, actors:O, follow:O, an:O, established:O, playbook:O, during:O, an:O, intrusion:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'They quickly move away from their initial access vector to hide their entry point and then target Exchange servers as a new access vector .' [/INST] [They:O, quickly:O, move:O, away:O, from:O, their:O, initial:O, access:O, vector:O, to:O, hide:O, their:O, entry:O, point:O, and:O, then:O, target:O, Exchange:O, servers:O, as:O, a:O, new:O, access:O, vector:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As of this publication , CTU researchers have not discovered how TG-3390 keeps track of the details associated with its compromised assets and credentials .' [/INST] [As:O, of:O, this:O, publication:O, ,:O, CTU:S-SECTEAM, researchers:O, have:O, not:O, discovered:O, how:O, TG-3390:S-APT, keeps:O, track:O, of:O, the:O, details:O, associated:O, with:O, its:O, compromised:O, assets:O, and:O, credentials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , the threat actors' ability to reuse these assets and credentials , sometimes weeks or months after the initial compromise , indicates the group is disciplined and well organized .' [/INST] [However:O, ,:O, the:O, threat:O, actors':O, ability:O, to:O, reuse:O, these:O, assets:O, and:O, credentials:O, ,:O, sometimes:O, weeks:O, or:O, months:O, after:O, the:O, initial:O, compromise:O, ,:O, indicates:O, the:O, group:O, is:O, disciplined:O, and:O, well:O, organized:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After gaining access to a target network in one intrusion analyzed by CTU researchers , TG-3390 actors identified and exfiltrated data for specific projects run by the target organization , indicating that they successfully obtained the information they sought .' [/INST] [After:O, gaining:O, access:O, to:O, a:O, target:O, network:O, in:O, one:O, intrusion:O, analyzed:O, by:O, CTU:S-SECTEAM, researchers:O, ,:O, TG-3390:S-APT, actors:O, identified:O, and:O, exfiltrated:O, data:O, for:O, specific:O, projects:O, run:O, by:O, the:O, target:O, organization:O, ,:O, indicating:O, that:O, they:O, successfully:O, obtained:O, the:O, information:O, they:O, sought:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : american.blackcmd.com .' [/INST] [TG-3390:S-APT, ::O, american.blackcmd.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : api.apigmail.com .' [/INST] [TG-3390:S-APT, ::O, api.apigmail.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : apigmail.com .' [/INST] [TG-3390:S-APT, ::O, apigmail.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : backup.darkhero.org .' [/INST] [TG-3390:S-APT, ::O, backup.darkhero.org:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : bel.updatawindows.com .' [/INST] [TG-3390:S-APT, ::O, bel.updatawindows.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : binary.update-onlines.org .' [/INST] [TG-3390:S-APT, ::O, binary.update-onlines.org:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : blackcmd.com .' [/INST] [TG-3390:S-APT, ::O, blackcmd.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : castle.blackcmd.com .' [/INST] [TG-3390:S-APT, ::O, castle.blackcmd.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : ctcb.blackcmd.com .' [/INST] [TG-3390:S-APT, ::O, ctcb.blackcmd.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : darkhero.org .' [/INST] [TG-3390:S-APT, ::O, darkhero.org:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : 208.115.242.36 .' [/INST] [TG-3390:S-APT, ::O, 208.115.242.36:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : 208.115.242.37 .' [/INST] [TG-3390:S-APT, ::O, 208.115.242.37:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : 208.115.242.38 .' [/INST] [TG-3390:S-APT, ::O, 208.115.242.38:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : 66.63.178.142 .' [/INST] [TG-3390:S-APT, ::O, 66.63.178.142:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : 72.11.148.220 .' [/INST] [TG-3390:S-APT, ::O, 72.11.148.220:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : 72.11.141.133 .' [/INST] [TG-3390:S-APT, ::O, 72.11.141.133:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : 74.63.195.236 .' [/INST] [TG-3390:S-APT, ::O, 74.63.195.236:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 : 74.63.195.237 . 1cb4b74e9d030afbb18accf6ee2bfca1 MD5 hash HttpBrowser RAT dropper . b333b5d541a0488f4e710ae97c46d9c2 MD5 hash HttpBrowser RAT dropper . 86a05dcffe87caf7099dda44d9ec6b48 MD5 hash HttpBrowser RAT dropper . 93e40da0bd78bebe5e1b98c6324e9b5b MD5 hash HttpBrowser RAT dropper . f43d9c3e17e8480a36a62ef869212419 MD5 hash HttpBrowser RAT dropper . 57e85fc30502a925ffed16082718ec6c MD5 hash HttpBrowser RAT dropper . 4251aaf38a485b08d5562c6066370f09 MD5 hash HttpBrowser RAT dropper . bbfd1e703f55ce779b536b5646a0cdc1 MD5 hash HttpBrowser RAT dropper . 12a522cb96700c82dc964197adb57ddf MD5 hash HttpBrowser RAT dropper . 728e5700a401498d91fb83159beec834 MD5 hash HttpBrowser RAT dropper . 2bec1860499aae1dbcc92f48b276f998 MD5 hash HttpBrowser RAT dropper . 014122d7851fa8bf4070a8fc2acd5dc5 MD5 hash HttpBrowser RAT . 0ae996b31a2c3ed3f0bc14c7a96bea38 MD5 hash HttpBrowser RAT . 1a76681986f99b216d5c0f17ccff2a12 MD5 hash HttpBrowser RAT . 380c02b1fd93eb22028862117a2f19e3 MD5 hash HttpBrowser RAT . 40a9a22da928cbb70df48d5a3106d887 MD5 hash HttpBrowser RAT . 46cf2f9b4a4c35b62a32f28ac847c575 MD5 hash HttpBrowser RAT . 5436c3469cb1d87ea404e8989b28758d MD5 hash HttpBrowser RAT . 692cecc94ac440ec673dc69f37bc0409 MD5 hash HttpBrowser RAT .' [/INST] [TG-3390:S-APT, ::O, 74.63.195.237:S-IP, .:O, 1cb4b74e9d030afbb18accf6ee2bfca1:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, b333b5d541a0488f4e710ae97c46d9c2:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, 86a05dcffe87caf7099dda44d9ec6b48:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, 93e40da0bd78bebe5e1b98c6324e9b5b:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, f43d9c3e17e8480a36a62ef869212419:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, 57e85fc30502a925ffed16082718ec6c:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, 4251aaf38a485b08d5562c6066370f09:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, bbfd1e703f55ce779b536b5646a0cdc1:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, 12a522cb96700c82dc964197adb57ddf:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, 728e5700a401498d91fb83159beec834:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, 2bec1860499aae1dbcc92f48b276f998:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, dropper:O, .:O, 014122d7851fa8bf4070a8fc2acd5dc5:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, .:O, 0ae996b31a2c3ed3f0bc14c7a96bea38:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, .:O, 1a76681986f99b216d5c0f17ccff2a12:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, .:O, 380c02b1fd93eb22028862117a2f19e3:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, .:O, 40a9a22da928cbb70df48d5a3106d887:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, .:O, 46cf2f9b4a4c35b62a32f28ac847c575:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, .:O, 5436c3469cb1d87ea404e8989b28758d:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, .:O, 692cecc94ac440ec673dc69f37bc0409:S-MD5, MD5:S-ENCR, hash:O, HttpBrowser:S-MAL, RAT:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Living Off the Land .' [/INST] [Living:O, Off:O, the:O, Land:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Release_Time : 2015-05-28' [/INST] [Release_Time:O, ::O, 2015-05-28:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Report_URL : https://www.secureworks.com/blog/living-off-the-land' [/INST] [Report_URL:O, ::O, https://www.secureworks.com/blog/living-off-the-land:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In over half of the targeted threat response engagements performed by the Dell SecureWorks Counter Threat Unit Special Operations ( CTU-SO ) team in the past year , the threat actors accessed the target environment using compromised credentials and the companies' own virtual private network ( VPN ) or other remote access solutions .' [/INST] [In:O, over:O, half:O, of:O, the:O, targeted:O, threat:O, response:O, engagements:O, performed:O, by:O, the:O, Dell:B-SECTEAM, SecureWorks:I-SECTEAM, Counter:I-SECTEAM, Threat:I-SECTEAM, Unit:I-SECTEAM, Special:I-SECTEAM, Operations:E-SECTEAM, (:O, CTU-SO:S-SECTEAM, ):O, team:O, in:O, the:O, past:O, year:O, ,:O, the:O, threat:O, actors:O, accessed:O, the:O, target:O, environment:O, using:O, compromised:O, credentials:O, and:O, the:O, companies':O, own:O, virtual:B-TOOL, private:I-TOOL, network:E-TOOL, (:O, VPN:S-TOOL, ):O, or:O, other:O, remote:O, access:O, solutions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Detecting threat actors who are , living off the land , , using credentials , systems , and tools they collect along the way instead of backdoors , can be challenging for organizations that focus their instrumentation and controls primarily on the detection of malware and indicators such as command and control IP addresses , domains , and protocols .' [/INST] [Detecting:O, threat:O, actors:O, who:O, are:O, ,:O, living:O, off:O, the:O, land:O, ,:O, ,:O, using:O, credentials:O, ,:O, systems:O, ,:O, and:O, tools:O, they:O, collect:O, along:O, the:O, way:O, instead:O, of:O, backdoors:O, ,:O, can:O, be:O, challenging:O, for:O, organizations:O, that:O, focus:O, their:O, instrumentation:O, and:O, controls:O, primarily:O, on:O, the:O, detection:O, of:O, malware:O, and:O, indicators:O, such:O, as:O, command:O, and:O, control:O, IP:O, addresses:O, ,:O, domains:O, ,:O, and:O, protocols:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With their gaps in visibility , these organizations can have a very difficult time distinguishing adversary activity from that of legitimate users , pushing detection times out to weeks , months , or even years .' [/INST] [With:O, their:O, gaps:O, in:O, visibility:O, ,:O, these:O, organizations:O, can:O, have:O, a:O, very:O, difficult:O, time:O, distinguishing:O, adversary:O, activity:O, from:O, that:O, of:O, legitimate:O, users:O, ,:O, pushing:O, detection:O, times:O, out:O, to:O, weeks:O, ,:O, months:O, ,:O, or:O, even:O, years:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Recently , CTU researchers responded to an intrusion perpetrated by Threat Group-1314 ( TG-1314 ) , one of numerous threat groups that employ the , living off the land , technique to conduct their intrusions .' [/INST] [Recently:O, ,:O, CTU:S-SECTEAM, researchers:O, responded:O, to:O, an:O, intrusion:O, perpetrated:O, by:O, Threat:B-APT, Group-1314:E-APT, (:O, TG-1314:S-APT, ):O, ,:O, one:O, of:O, numerous:O, threat:O, groups:O, that:O, employ:O, the:O, ,:O, living:O, off:O, the:O, land:O, ,:O, technique:O, to:O, conduct:O, their:O, intrusions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this case , the threat actors used compromised credentials to log into an Internet-facing Citrix server to gain access to the network .' [/INST] [In:O, this:O, case:O, ,:O, the:O, threat:O, actors:O, used:O, compromised:O, credentials:O, to:O, log:O, into:O, an:O, Internet-facing:S-TOOL, Citrix:S-TOOL, server:O, to:O, gain:O, access:O, to:O, the:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers discovered evidence that the threat actors were not only leveraging the company 's remote access infrastructure , but were also using the company 's endpoint management platform , Altiris , to move laterally through the network .' [/INST] [CTU:S-SECTEAM, researchers:O, discovered:O, evidence:O, that:O, the:O, threat:O, actors:O, were:O, not:O, only:O, leveraging:O, the:O, company:O, 's:O, remote:O, access:O, infrastructure:O, ,:O, but:O, were:O, also:O, using:O, the:O, company:O, 's:O, endpoint:O, management:O, platform:O, ,:O, Altiris:S-TOOL, ,:O, to:O, move:O, laterally:O, through:O, the:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Memory collection and analysis can be an extremely valuable component of an incident response plan and in this case proved crucial in identifying TG-1314 's actions on objective .' [/INST] [Memory:O, collection:O, and:O, analysis:O, can:O, be:O, an:O, extremely:O, valuable:O, component:O, of:O, an:O, incident:O, response:O, plan:O, and:O, in:O, this:O, case:O, proved:O, crucial:O, in:O, identifying:O, TG-1314:S-APT, 's:O, actions:O, on:O, objective:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Memory collected from systems involved in the intrusion was analyzed using the Volatility framework .' [/INST] [Memory:O, collected:O, from:O, systems:O, involved:O, in:O, the:O, intrusion:O, was:O, analyzed:O, using:O, the:O, Volatility:O, framework:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First , Volatility 's pstree plugin , which lists running processes in a tree view , was executed .' [/INST] [First:O, ,:O, Volatility:S-TOOL, 's:O, pstree:S-TOOL, plugin:S-TOOL, ,:O, which:O, lists:O, running:O, processes:O, in:O, a:O, tree:O, view:O, ,:O, was:O, executed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The result immediately revealed signs of a suspicious cmd.exe process running as a child of the ACLIENT.EXE process .' [/INST] [The:O, result:O, immediately:O, revealed:O, signs:O, of:O, a:O, suspicious:O, cmd.exe:S-FILE, process:O, running:O, as:O, a:O, child:O, of:O, the:O, ACLIENT.EXE:S-FILE, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers immediately recognized suspicious commands , such as changing the working directory to recycler and executing commands from that location , that were unlikely to have been connected to legitimate system administrator operations .' [/INST] [CTU:S-SECTEAM, researchers:O, immediately:O, recognized:O, suspicious:O, commands:O, ,:O, such:O, as:O, changing:O, the:O, working:O, directory:O, to:O, recycler:O, and:O, executing:O, commands:O, from:O, that:O, location:O, ,:O, that:O, were:O, unlikely:O, to:O, have:O, been:O, connected:O, to:O, legitimate:O, system:O, administrator:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The results also revealed indications that PsExec , a popular system administration tool for executing commands on remote systems , was run against several target hosts to spawn shells on them .' [/INST] [The:O, results:O, also:O, revealed:O, indications:O, that:O, PsExec:S-TOOL, ,:O, a:O, popular:O, system:O, administration:O, tool:O, for:O, executing:O, commands:O, on:O, remote:O, systems:O, ,:O, was:O, run:O, against:O, several:O, target:O, hosts:O, to:O, spawn:O, shells:O, on:O, them:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To better understand how the adversary was operating and what other actions they had performed , CTU researchers examined cmd.exe and its supporting processes to uncover additional command line artifacts .' [/INST] [To:O, better:O, understand:O, how:O, the:O, adversary:O, was:O, operating:O, and:O, what:O, other:O, actions:O, they:O, had:O, performed:O, ,:O, CTU:S-SECTEAM, researchers:O, examined:O, cmd.exe:S-FILE, and:O, its:O, supporting:O, processes:O, to:O, uncover:O, additional:O, command:O, line:O, artifacts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While cmd.exe is a console application , it still requires GUI like functionality and other support to interact with the operating system .' [/INST] [While:O, cmd.exe:S-FILE, is:O, a:O, console:O, application:O, ,:O, it:O, still:O, requires:O, GUI:S-TOOL, like:O, functionality:O, and:O, other:O, support:O, to:O, interact:O, with:O, the:O, operating:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On the Windows XP platform , this support is provided by the csrss.exe process .' [/INST] [On:O, the:O, Windows:B-OS, XP:E-OS, platform:O, ,:O, this:O, support:O, is:O, provided:O, by:O, the:O, csrss.exe:S-FILE, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Because commands run from cmd.exe are acted on by csrss.exe , additional evidence of command history and responses sent to the cmd console window are often discoverable by analyzing the csrss.exe process 's memory .' [/INST] [Because:O, commands:O, run:O, from:O, cmd.exe:S-FILE, are:O, acted:O, on:O, by:O, csrss.exe:S-FILE, ,:O, additional:O, evidence:O, of:O, command:O, history:O, and:O, responses:O, sent:O, to:O, the:O, cmd:O, console:O, window:O, are:O, often:O, discoverable:O, by:O, analyzing:O, the:O, csrss.exe:S-FILE, process:O, 's:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The output in Figure 3 shows the Process ID ( PID ) of the csrss.exe process to be 716 .' [/INST] [The:O, output:O, in:O, Figure:O, 3:O, shows:O, the:O, Process:B-TOOL, ID:E-TOOL, (:O, PID:S-TOOL, ):O, of:O, the:O, csrss.exe:S-FILE, process:O, to:O, be:O, 716:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Running Volatility 's vaddump plugin on this process allowed CTU researchers to obtain the Virtual Address Descriptor ( VAD ) sections .' [/INST] [Running:O, Volatility:S-TOOL, 's:O, vaddump:S-TOOL, plugin:S-TOOL, on:O, this:O, process:O, allowed:O, CTU:S-SECTEAM, researchers:O, to:O, obtain:O, the:O, Virtual:B-TOOL, Address:I-TOOL, Descriptor:E-TOOL, (:O, VAD:S-TOOL, ):O, sections:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The relevant strings inside the VAD sections were UTF-16 encoded and revealed additional insights once extracted .' [/INST] [The:O, relevant:O, strings:O, inside:O, the:O, VAD:S-TOOL, sections:O, were:O, UTF-16:S-TOOL, encoded:O, and:O, revealed:O, additional:O, insights:O, once:O, extracted:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-1314 was mapping network drives using a compromised Altiris account to connect to additional systems .' [/INST] [TG-1314:S-APT, was:O, mapping:O, network:O, drives:O, using:O, a:O, compromised:O, Altiris:S-TOOL, account:O, to:O, connect:O, to:O, additional:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After identifying compromised credentials and executed commands , CTU researchers shifted focus to determine how the threat actors were obtaining the shell and executing their commands on the compromised host .' [/INST] [After:O, identifying:O, compromised:O, credentials:O, and:O, executed:O, commands:O, ,:O, CTU:S-SECTEAM, researchers:O, shifted:O, focus:O, to:O, determine:O, how:O, the:O, threat:O, actors:O, were:O, obtaining:O, the:O, shell:O, and:O, executing:O, their:O, commands:O, on:O, the:O, compromised:O, host:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This exploration required a look at the suspect cmd.exe 's parent process , shown earlier in the investigation to be ACLIENT.EXE .' [/INST] [This:O, exploration:O, required:O, a:O, look:O, at:O, the:O, suspect:O, cmd.exe:S-FILE, 's:O, parent:O, process:O, ,:O, shown:O, earlier:O, in:O, the:O, investigation:O, to:O, be:O, ACLIENT.EXE:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Volatility 's procdump command was used to dump the executable from memory .' [/INST] [Volatility:S-TOOL, 's:O, procdump:O, command:O, was:O, used:O, to:O, dump:O, the:O, executable:O, from:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Running the strings utility against the dumped ACLIENT.EXE binary revealed evidence that the file was the Altiris agent .' [/INST] [Running:O, the:O, strings:O, utility:O, against:O, the:O, dumped:O, ACLIENT.EXE:S-FILE, binary:O, revealed:O, evidence:O, that:O, the:O, file:O, was:O, the:O, Altiris:S-TOOL, agent:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These results indicated that the threat actors leveraged the Altiris management platform installed at the client site , along with compromised domain credentials associated with the Altiris system , to move laterally within the compromised environment .' [/INST] [These:O, results:O, indicated:O, that:O, the:O, threat:O, actors:O, leveraged:O, the:O, Altiris:S-TOOL, management:O, platform:O, installed:O, at:O, the:O, client:O, site:O, ,:O, along:O, with:O, compromised:O, domain:O, credentials:O, associated:O, with:O, the:O, Altiris:S-TOOL, system:O, ,:O, to:O, move:O, laterally:O, within:O, the:O, compromised:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Threat groups often follow a path of least resistance to achieve their objective .' [/INST] [Threat:O, groups:O, often:O, follow:O, a:O, path:O, of:O, least:O, resistance:O, to:O, achieve:O, their:O, objective:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'They will leverage legitimate remote access solutions for entry and valid system administrator tools for lateral movement , if possible .' [/INST] [They:O, will:O, leverage:O, legitimate:O, remote:O, access:O, solutions:O, for:O, entry:O, and:O, valid:O, system:O, administrator:O, tools:O, for:O, lateral:O, movement:O, ,:O, if:O, possible:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To help disrupt this tactic , it is important that organizations implement two-factor authentication for all remote access solutions and consider doing the same for internal , high-value assets like their internal system management consoles .' [/INST] [To:O, help:O, disrupt:O, this:O, tactic:O, ,:O, it:O, is:O, important:O, that:O, organizations:O, implement:O, two-factor:O, authentication:O, for:O, all:O, remote:O, access:O, solutions:O, and:O, consider:O, doing:O, the:O, same:O, for:O, internal:O, ,:O, high-value:O, assets:O, like:O, their:O, internal:O, system:O, management:O, consoles:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers assess with high confidence that threat groups like TG-1314 will continue to live off of the land to avoid detection and conduct their operations .' [/INST] [CTU:S-SECTEAM, researchers:O, assess:O, with:O, high:O, confidence:O, that:O, threat:O, groups:O, like:O, TG-1314:S-SECTEAM, will:O, continue:O, to:O, live:O, off:O, of:O, the:O, land:O, to:O, avoid:O, detection:O, and:O, conduct:O, their:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT Targets Financial Analysts with CVE-2017-0199 .' [/INST] [APT:O, Targets:O, Financial:O, Analysts:O, with:O, CVE-2017-0199:S-VULID, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On April 20 , Proofpoint observed a targeted campaign focused on financial analysts working at top global financial firms operating in Russia and neighboring countries .' [/INST] [On:O, April:B-TIME, 20:E-TIME, ,:O, Proofpoint:S-SECTEAM, observed:O, a:O, targeted:O, campaign:O, focused:O, on:O, financial:O, analysts:O, working:O, at:O, top:O, global:O, financial:O, firms:O, operating:O, in:O, Russia:S-LOC, and:O, neighboring:O, countries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These analysts were linked by their coverage of the telecommunications industry , making this targeting very similar to , and likely a continuation of , activity described in our “ In Pursuit of Optical Fibers and Troop Intel ” blog .' [/INST] [These:O, analysts:O, were:O, linked:O, by:O, their:O, coverage:O, of:O, the:O, telecommunications:O, industry:O, ,:O, making:O, this:O, targeting:O, very:O, similar:O, to:O, ,:O, and:O, likely:O, a:O, continuation:O, of:O, ,:O, activity:O, described:O, in:O, our:O, “:O, In:O, Pursuit:O, of:O, Optical:O, Fibers:O, and:O, Troop:O, Intel:O, ”:O, blog:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This time , however , attackers opportunistically used spear-phishing emails with a Microsoft Word attachment exploiting the recently patched CVE-2017-0199 to deploy the ZeroT Trojan , which in turn downloaded the PlugX Remote Access Trojan ( RAT ) .' [/INST] [This:O, time:O, ,:O, however:O, ,:O, attackers:O, opportunistically:O, used:O, spear-phishing:S-ACT, emails:S-TOOL, with:O, a:O, Microsoft:S-IDTY, Word:S-TOOL, attachment:O, exploiting:O, the:O, recently:O, patched:O, CVE-2017-0199:S-VULID, to:O, deploy:O, the:O, ZeroT:S-MAL, Trojan:S-MAL, ,:O, which:O, in:O, turn:O, downloaded:O, the:O, PlugX:S-MAL, Remote:B-TOOL, Access:I-TOOL, Trojan:E-TOOL, (:O, RAT:S-TOOL, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Proofpoint is tracking this attacker , believed to operate out of China , as TA459 .' [/INST] [Proofpoint:O, is:O, tracking:O, this:O, attacker:O, ,:O, believed:O, to:O, operate:O, out:O, of:O, China:S-LOC, ,:O, as:O, TA459:S-APT, .:O] </s> |