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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: 'Unlike previous samples , this DealersChoice used a DOCX delivery document that required the user to scroll through the document to trigger the malicious Flash object .' [/INST] [Unlike:O, previous:O, samples:O, ,:O, this:O, DealersChoice:S-TOOL, used:O, a:O, DOCX:S-TOOL, delivery:O, document:O, that:O, required:O, the:O, user:O, to:O, scroll:O, through:O, the:O, document:O, to:O, trigger:O, the:O, malicious:O, Flash:S-TOOL, object: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: 'DealersChoice :' [/INST] [DealersChoice: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: '0cd9ac328d858d8d83c9eb73bfdc59a958873b3d71b24c888d7408d9512a41d7 ( Defence&Security_2018_Conference_Agenda.docx ) ndpmedia24.com .' [/INST] [0cd9ac328d858d8d83c9eb73bfdc59a958873b3d71b24c888d7408d9512a41d7:S-SHA2, (:O, Defence&Security_2018_Conference_Agenda.docx:S-FILE, ):O, ndpmedia24.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: 'Corporate IoT – a path to intrusion .' [/INST] [Corporate:O, IoT:S-TOOL, –:O, a:O, path:O, to: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: 'Several sources estimate that by the year 2020 some 50 billion IoT devices will be deployed worldwide .' [/INST] [Several:O, sources:O, estimate:O, that:O, by:O, the:O, year:O, 2020:S-TIME, some:O, 50:O, billion:O, IoT:S-TOOL, devices:O, will:O, be:O, deployed:O, worldwide: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: 'IoT devices are purposefully designed to connect to a network and many are simply connected to the internet with little management or oversight .' [/INST] [IoT:S-TOOL, devices:O, are:O, purposefully:O, designed:O, to:O, connect:O, to:O, a:O, network:O, and:O, many:O, are:O, simply:O, connected:O, to:O, the:O, internet:O, with:O, little:O, management:O, or:O, oversight: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: 'Such devices still must be identifiable , maintained , and monitored by security teams , especially in large complex enterprises .' [/INST] [Such:O, devices:O, still:O, must:O, be:O, identifiable:O, ,:O, maintained:O, ,:O, and:O, monitored:O, by:O, security:O, teams:O, ,:O, especially:O, in:O, large:O, complex:O, enterprises: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: 'Some IoT devices may even communicate basic telemetry back to the device manufacturer or have means to receive software updates .' [/INST] [Some:O, IoT:S-TOOL, devices:O, may:O, even:O, communicate:O, basic:O, telemetry:O, back:O, to:O, the:O, device:O, manufacturer:O, or:O, have:O, means:O, to:O, receive:O, software:O, updates: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 most cases however , the customers ’ IT operation center don’t know they exist on the network .' [/INST] [In:O, most:O, cases:O, however:O, ,:O, the:O, customers:O, ’:O, IT:O, operation:O, center:O, don’t:O, know:O, they:O, exist:O, on: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: 'In 2016 , the Mirai botnet was discovered by the malware research group MalwareMustDie .' [/INST] [In:O, 2016:S-TIME, ,:O, the:O, Mirai:S-MAL, botnet:O, was:O, discovered:O, by:O, the:O, malware:O, research:O, group:O, MalwareMustDie:S-SECTEAM, .: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 botnet initially consisted of IP cameras and basic home routers , two types of IoT devices commonly found in the household .' [/INST] [The:O, botnet:O, initially:O, consisted:O, of:O, IP:O, cameras:O, and:O, basic:O, home:O, routers:O, ,:O, two:O, types:O, of:O, IoT:S-TOOL, devices:O, commonly:O, found:O, in:O, the:O, household: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 more variants of Mirai emerged , so did the list IoT devices it was targeting .' [/INST] [As:O, more:O, variants:O, of:O, Mirai:S-MAL, emerged:O, ,:O, so:O, did:O, the:O, list:O, IoT:S-TOOL, devices:O, it:O, was:O, targeting: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 source code for the malware powering this botnet was eventually leaked online .' [/INST] [The:O, source:O, code:O, for:O, the:O, malware:O, powering:O, this:O, botnet:O, was:O, eventually:O, leaked:O, online: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 2018 , hundreds of thousands of home and small business networking and storage devices were compromised and loaded with the so-called “ VPN Filter ” malware .' [/INST] [In:O, 2018:S-TIME, ,:O, hundreds:O, of:O, thousands:O, of:O, home:O, and:O, small:O, business:O, networking:O, and:O, storage:O, devices:O, were:O, compromised:O, and:O, loaded:O, with:O, the:O, so-called:O, “:O, VPN:B-MAL, Filter:E-MAL, ”:O, malware: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 FBI has publicly attributed this activity to a nation-state actor and took subsequent actions to disrupt this botnet , although the devices would remain vulnerable to re-infection unless proper firmware or security controls were put in place by the user .' [/INST] [The:O, FBI:S-IDTY, has:O, publicly:O, attributed:O, this:O, activity:O, to:O, a:O, nation-state:O, actor:O, and:O, took:O, subsequent:O, actions:O, to:O, disrupt:O, this:O, botnet:O, ,:O, although:O, the:O, devices:O, would:O, remain:O, vulnerable:O, to:O, re-infection:O, unless:O, proper:O, firmware:O, or:O, security:O, controls:O, were:O, put:O, in:O, place:O, by:O, the:O, user: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: 'There were also multiple press reports of cyber-attacks on several devices during the opening ceremonies for the 2018 Olympic Games in PyeongChang .' [/INST] [There:O, were:O, also:O, multiple:O, press:O, reports:O, of:O, cyber-attacks:O, on:O, several:O, devices:O, during:O, the:O, opening:O, ceremonies:O, for:O, the:O, 2018:S-TIME, Olympic:B-IDTY, Games:E-IDTY, in:O, PyeongChang: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: 'Officials did confirm a few days later that they were a victim of malicious cyber-attacks that prevented attendees from printing their tickets to the Games and televisions and internet access in the main press center simply stopped working .' [/INST] [Officials:O, did:O, confirm:O, a:O, few:O, days:O, later:O, that:O, they:O, were:O, a:O, victim:O, of:O, malicious:O, cyber-attacks:O, that:O, prevented:O, attendees:O, from:O, printing:O, their:O, tickets:O, to:O, the:O, Games:S-IDTY, and:O, televisions:O, and:O, internet:O, access:O, in:O, the:O, main:O, press:O, center:O, simply:O, stopped:O, working: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 April , security researchers in the Microsoft Threat Intelligence Center discovered infrastructure of a known adversary communicating to several external devices .' [/INST] [In:O, April:S-TIME, ,:O, security:O, researchers:O, in:O, the:O, Microsoft:S-IDTY, Threat:B-SECTEAM, Intelligence:I-SECTEAM, Center:E-SECTEAM, discovered:O, infrastructure:O, of:O, a:O, known:O, adversary:O, communicating:O, to:O, several:O, external:O, devices: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: 'Further research uncovered attempts by the actor to compromise popular IoT devices ( a VOIP phone , an office printer , and a video decoder ) across multiple customer locations .' [/INST] [Further:O, research:O, uncovered:O, attempts:O, by:O, the:O, actor:O, to:O, compromise:O, popular:O, IoT:S-TOOL, devices:O, (:O, a:O, VOIP:B-TOOL, phone:E-TOOL, ,:O, an:O, office:B-TOOL, printer:E-TOOL, ,:O, and:O, a:O, video:B-TOOL, decoder:E-TOOL, ):O, across:O, multiple:O, customer:O, locations: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 investigation uncovered that an actor had used these devices to gain initial access to corporate networks .' [/INST] [The:O, investigation:O, uncovered:O, that:O, an:O, actor:O, had:O, used:O, these:O, devices:O, to:O, gain:O, initial:O, access:O, to:O, corporate:O, networks: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 two of the cases , the passwords for the devices were deployed without changing the default manufacturer ’s passwords and in the third instance the latest security update had not been applied to the device .' [/INST] [In:O, two:O, of:O, the:O, cases:O, ,:O, the:O, passwords:O, for:O, the:O, devices:O, were:O, deployed:O, without:O, changing:O, the:O, default:O, manufacturer:O, ’s:O, passwords:O, and:O, in:O, the:O, third:O, instance:O, the:O, latest:O, security:O, update:O, had:O, not:O, been:O, applied:O, to:O, the:O, device: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 devices became points of ingress from which the actor established a presence on the network and continued looking for further access .' [/INST] [These:O, devices:O, became:O, points:O, of:O, ingress:O, from:O, which:O, the:O, actor:O, established:O, a:O, presence:O, on:O, the:O, network:O, and:O, continued:O, looking:O, for:O, further:O, access: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: 'Once the actor had successfully established access to the network , a simple network scan to look for other insecure devices allowed them to discover and move across the network in search of higher-privileged accounts that would grant access to higher-value data .' [/INST] [Once:O, the:O, actor:O, had:O, successfully:O, established:O, access:O, to:O, the:O, network:O, ,:O, a:O, simple:O, network:O, scan:O, to:O, look:O, for:O, other:O, insecure:O, devices:O, allowed:O, them:O, to:O, discover:O, and:O, move:O, across:O, the:O, network:O, in:O, search:O, of:O, higher-privileged:O, accounts:O, that:O, would:O, grant:O, access:O, to:O, higher-value:O, data: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 each of the IoT devices , the actor ran tcpdump to sniff network traffic on local subnets .' [/INST] [After:O, gaining:O, access:O, to:O, each:O, of:O, the:O, IoT:S-TOOL, devices:O, ,:O, the:O, actor:O, ran:O, tcpdump:O, to:O, sniff:O, network:O, traffic:O, on:O, local:O, subnets: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 were also seen enumerating administrative groups to attempt further exploitation .' [/INST] [They:O, were:O, also:O, seen:O, enumerating:O, administrative:O, groups:O, to:O, attempt:O, further:O, exploitation: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 the actor moved from one device to another , they would drop a simple shell script to establish persistence on the network which allowed extended access to continue hunting .' [/INST] [As:O, the:O, actor:O, moved:O, from:O, one:O, device:O, to:O, another:O, ,:O, they:O, would:O, drop:O, a:O, simple:O, shell:O, script:O, to:O, establish:O, persistence:O, on:O, the:O, network:O, which:O, allowed:O, extended:O, access:O, to:O, continue:O, hunting: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: 'Analysis of network traffic showed the devices were also communicating with an external command and control ( C2 ) server .' [/INST] [Analysis:O, of:O, network:O, traffic:O, showed:O, the:O, devices:O, were:O, also:O, communicating:O, with:O, an:O, external:O, command:B-TOOL, and:I-TOOL, control:E-TOOL, (:O, C2:S-TOOL, ):O, server: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 following IP addresses are believed to have been used by the actor for command and control ( C2 ) during these intrusions :' [/INST] [The:O, following:O, IP:O, addresses:O, are:O, believed:O, to:O, have:O, been:O, used:O, by:O, the:O, actor:O, for:O, command:B-TOOL, and:I-TOOL, control:E-TOOL, (:O, C2:S-TOOL, ):O, during:O, these: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: '167.114.153.55 94.237.37.28 82.118.242.171 31.220.61.251 128.199.199.187 .' [/INST] [167.114.153.55:S-IP, 94.237.37.28:S-IP, 82.118.242.171:S-IP, 31.220.61.251:S-IP, 128.199.199.187: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: 'We attribute the attacks on these customers using three popular IoT devices to an activity group that Microsoft refers to as STRONTIUM .' [/INST] [We:O, attribute:O, the:O, attacks:O, on:O, these:O, customers:O, using:O, three:O, popular:O, IoT:S-TOOL, devices:O, to:O, an:O, activity:O, group:O, that:O, Microsoft:S-IDTY, refers:O, to:O, as:O, STRONTIUM:S-APT, .: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: 'Since we identified these attacks in the early stages , we have not been able to conclusively determine what STRONTIUM ’s ultimate objectives were in these intrusions .' [/INST] [Since:O, we:O, identified:O, these:O, attacks:O, in:O, the:O, early:O, stages:O, ,:O, we:O, have:O, not:O, been:O, able:O, to:O, conclusively:O, determine:O, what:O, STRONTIUM:S-APT, ’s:O, ultimate:O, objectives:O, were:O, in:O, these: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: 'Over the last twelve months , Microsoft has delivered nearly 1400 nation-state notifications to those who have been targeted or compromised by STRONTIUM .' [/INST] [Over:O, the:O, last:O, twelve:O, months:O, ,:O, Microsoft:S-IDTY, has:O, delivered:O, nearly:O, 1400:O, nation-state:O, notifications:O, to:O, those:O, who:O, have:O, been:O, targeted:O, or:O, compromised:O, by:O, STRONTIUM:S-APT, .: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: 'One in five notifications of STRONTIUM activity were tied to attacks against non-governmental organizations , think tanks , or politically affiliated organizations around the world .' [/INST] [One:O, in:O, five:O, notifications:O, of:O, STRONTIUM:S-APT, activity:O, were:O, tied:O, to:O, attacks:O, against:O, non-governmental:O, organizations:O, ,:O, think:O, tanks:O, ,:O, or:O, politically:O, affiliated: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: 'The remaining 80% of STRONTIUM attacks have largely targeted organizations in the following sectors : government , IT , military , defense , medicine , education , and engineering .' [/INST] [The:O, remaining:O, 80%:O, of:O, STRONTIUM:S-APT, attacks:O, have:O, largely:O, targeted:O, organizations:O, in:O, the:O, following:O, sectors:O, ::O, government:O, ,:O, IT:O, ,:O, military:O, ,:O, defense:O, ,:O, medicine:O, ,:O, education:O, ,:O, and:O, engineering: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: 'We have also observed and notified STRONTIUM attacks against Olympic organizing committees , anti-doping agencies , and the hospitality industry .' [/INST] [We:O, have:O, also:O, observed:O, and:O, notified:O, STRONTIUM:S-APT, attacks:O, against:O, Olympic:S-IDTY, organizing:O, committees:O, ,:O, anti-doping:O, agencies:O, ,:O, and:O, the:O, hospitality:O, industry: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 “ VPN Filter ” malware has also been attributed to STRONTIUM by the FBI .' [/INST] [The:O, “:O, VPN:B-MAL, Filter:E-MAL, ”:O, malware:O, has:O, also:O, been:O, attributed:O, to:O, STRONTIUM:S-APT, by:O, the:O, FBI:S-IDTY, .: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: 'Today we are sharing this information to raise awareness of these risks across the industry and calling for better enterprise integration of IoT devices , particularly the ability to monitor IoT device telemetry within enterprise networks .' [/INST] [Today:O, we:O, are:O, sharing:O, this:O, information:O, to:O, raise:O, awareness:O, of:O, these:O, risks:O, across:O, the:O, industry:O, and:O, calling:O, for:O, better:O, enterprise:O, integration:O, of:O, IoT:S-TOOL, devices:O, ,:O, particularly:O, the:O, ability:O, to:O, monitor:O, IoT:S-TOOL, device:O, telemetry:O, within:O, enterprise:O, networks: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: 'Today , the number of deployed IoT devices outnumber the population of personal computers and mobile phones , combined .' [/INST] [Today:O, ,:O, the:O, number:O, of:O, deployed:O, IoT:S-TOOL, devices:O, outnumber:O, the:O, population:O, of:O, personal:O, computers:S-TOOL, and:O, mobile:B-TOOL, phones:E-TOOL, ,:O, combined: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 each networked IoT device having its own separate network stack , it ’s quite easy to see the need for better enterprise management , especially in today ’s “ bring your own device ” world .' [/INST] [With:O, each:O, networked:O, IoT:S-TOOL, device:O, having:O, its:O, own:O, separate:O, network:O, stack:O, ,:O, it:O, ’s:O, quite:O, easy:O, to:O, see:O, the:O, need:O, for:O, better:O, enterprise:O, management:O, ,:O, especially:O, in:O, today:O, ’s:O, “:O, bring:O, your:O, own:O, device:O, ”: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: 'While much of the industry focuses on the threats of hardware implants , we can see in this example that adversaries are happy to exploit simpler configuration and security issues to achieve their objectives .' [/INST] [While:O, much:O, of:O, the:O, industry:O, focuses:O, on:O, the:O, threats:O, of:O, hardware:O, implants:O, ,:O, we:O, can:O, see:O, in:O, this:O, example:O, that:O, adversaries:O, are:O, happy:O, to:O, exploit:O, simpler:O, configuration:O, and:O, security:O, issues:O, to:O, achieve:O, their:O, objectives: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 simple attacks taking advantage of weak device management are likely to expand as more IoT devices are deployed in corporate environments .' [/INST] [These:O, simple:O, attacks:O, taking:O, advantage:O, of:O, weak:O, device:O, management:O, are:O, likely:O, to:O, expand:O, as:O, more:O, IoT:S-TOOL, devices:O, are:O, deployed:O, in:O, corporate: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: 'Upon conclusion of our investigation , we shared this information with the manufacturers of the specific devices involved and they have used this event to explore new protections in their products .' [/INST] [Upon:O, conclusion:O, of:O, our:O, investigation:O, ,:O, we:O, shared:O, this:O, information:O, with:O, the:O, manufacturers:O, of:O, the:O, specific:O, devices:O, involved:O, and:O, they:O, have:O, used:O, this:O, event:O, to:O, explore:O, new:O, protections:O, in:O, their:O, products: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 , there is a need for broader focus across IoT in general , both from security teams at organizations that need to be more aware of these types of threats , as well as from IoT device makers who need to provide better enterprise support and monitoring capabilities to make it easier for security teams to defend their networks .' [/INST] [However:O, ,:O, there:O, is:O, a:O, need:O, for:O, broader:O, focus:O, across:O, IoT:S-TOOL, in:O, general:O, ,:O, both:O, from:O, security:O, teams:O, at:O, organizations:O, that:O, need:O, to:O, be:O, more:O, aware:O, of:O, these:O, types:O, of:O, threats:O, ,:O, as:O, well:O, as:O, from:O, IoT:S-TOOL, device:O, makers:O, who:O, need:O, to:O, provide:O, better:O, enterprise:O, support:O, and:O, monitoring:O, capabilities:O, to:O, make:O, it:O, easier:O, for:O, security:O, teams:O, to:O, defend:O, their:O, networks: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: 'Below are a series of indicators Microsoft has observed as active during the STRONTIUM activity discussed in this article .' [/INST] [Below:O, are:O, a:O, series:O, of:O, indicators:O, Microsoft:S-IDTY, has:O, observed:O, as:O, active:O, during:O, the:O, STRONTIUM:S-APT, activity:O, discussed:O, in:O, this:O, article: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: 'Command-and-Control ( C2 ) IP addresses :' [/INST] [Command-and-Control:S-TOOL, (:O, C2:S-TOOL, ):O, IP:O, addresses: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: '167.114.153.55 94.237.37.28 82.118.242.171 31.220.61.251 128.199.199.187 .' [/INST] [167.114.153.55:S-IP, 94.237.37.28:S-IP, 82.118.242.171:S-IP, 31.220.61.251:S-IP, 128.199.199.187: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: 'Operation RussianDoll : Adobe & Windows Zero-Day Exploits Likely Leveraged by Russia ’s APT28 in Highly-Targeted Attack .' [/INST] [Operation:O, RussianDoll:S-ACT, ::O, Adobe:S-TOOL, &:O, Windows:S-OS, Zero-Day:S-VULNAME, Exploits:O, Likely:O, Leveraged:O, by:O, Russia:S-LOC, ’s:O, APT28:S-APT, in:O, Highly-Targeted:O, Attack: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: 'FireEye Labs recently detected a limited APT campaign exploiting zero-day vulnerabilities in Adobe Flash and a brand-new one in Microsoft Windows .' [/INST] [FireEye:B-SECTEAM, Labs:E-SECTEAM, recently:O, detected:O, a:O, limited:O, APT:O, campaign:O, exploiting:O, zero-day:S-VULNAME, vulnerabilities:O, in:O, Adobe:B-TOOL, Flash:E-TOOL, and:O, a:O, brand-new:O, one:O, in:O, Microsoft:S-IDTY, Windows:S-OS, .: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: 'Using the Dynamic Threat Intelligence Cloud ( DTI ) , FireEye researchers detected a pattern of attacks beginning on April 13th , 2015 .' [/INST] [Using:O, the:O, Dynamic:B-TOOL, Threat:I-TOOL, Intelligence:I-TOOL, Cloud:E-TOOL, (:O, DTI:S-TOOL, ):O, ,:O, FireEye:S-SECTEAM, researchers:O, detected:O, a:O, pattern:O, of:O, attacks:O, beginning:O, on:O, April:B-TIME, 13th:I-TIME, ,:I-TIME, 2015:E-TIME, .: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: 'Adobe independently patched the vulnerability ( CVE-2015-3043 ) in APSB15-06 .' [/INST] [Adobe:S-TOOL, independently:O, patched:O, the:O, vulnerability:O, (:O, CVE-2015-3043:S-VULID, ):O, in:O, APSB15-06: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 correlation of technical indicators and command and control infrastructure , FireEye assess that APT28 is probably responsible for this activity .' [/INST] [Through:O, correlation:O, of:O, technical:O, indicators:O, and:O, command:B-TOOL, and:I-TOOL, control:E-TOOL, infrastructure:O, ,:O, FireEye:S-SECTEAM, assess:O, that:O, APT28:S-APT, is:O, probably:O, responsible:O, for:O, this:O, activity: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: 'Microsoft is aware of the outstanding local privilege escalation vulnerability in Windows ( CVE-2015-1701 ) .' [/INST] [Microsoft:S-IDTY, is:O, aware:O, of:O, the:O, outstanding:O, local:O, privilege:O, escalation:O, vulnerability:O, in:O, Windows:S-OS, (:O, CVE-2015-1701:S-VULID, ):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 there is not yet a patch available for the Windows vulnerability , updating Adobe Flash to the latest version will render this in-the-wild exploit innocuous .' [/INST] [While:O, there:O, is:O, not:O, yet:O, a:O, patch:O, available:O, for:O, the:O, Windows:S-OS, vulnerability:O, ,:O, updating:O, Adobe:B-TOOL, Flash:E-TOOL, to:O, the:O, latest:O, version:O, will:O, render:O, this:O, in-the-wild:O, exploit:O, innocuous: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: 'We have only seen CVE-2015-1701 in use in conjunction with the Adobe Flash exploit for CVE-2015-3043 .' [/INST] [We:O, have:O, only:O, seen:O, CVE-2015-1701:S-VULID, in:O, use:O, in:O, conjunction:O, with:O, the:O, Adobe:B-TOOL, Flash:E-TOOL, exploit:O, for:O, CVE-2015-3043: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: 'The Microsoft Security Team is working on a fix for CVE-2015-1701 .' [/INST] [The:O, Microsoft:B-SECTEAM, Security:I-SECTEAM, Team:E-SECTEAM, is:O, working:O, on:O, a:O, fix:O, for:O, CVE-2015-1701: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: 'The high level flow of the exploit is as follows :' [/INST] [The:O, high:O, level:O, flow:O, of:O, the:O, exploit:O, is:O, as:O, follows: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: 'User clicks link to attacker controlled website .' [/INST] [User:O, clicks:O, link:O, to:O, attacker:O, controlled:O, website: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: 'HTML/JS launcher page serves Flash exploit .' [/INST] [HTML/JS:S-TOOL, launcher:O, page:O, serves:O, Flash:S-TOOL, exploit: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: 'Flash exploit triggers CVE-2015-3043 , executes shellcode .' [/INST] [Flash:S-TOOL, exploit:O, triggers:O, CVE-2015-3043:S-VULID, ,:O, executes:O, shellcode: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: 'Shellcode downloads and runs executable payload .' [/INST] [Shellcode:S-TOOL, downloads:O, and:O, runs:O, executable:O, payload: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: 'Executable payload exploits local privilege escalation ( CVE-2015-1701 ) to steal System token .' [/INST] [Executable:O, payload:O, exploits:O, local:O, privilege:O, escalation:O, (:O, CVE-2015-1701:S-VULID, ):O, to:O, steal:O, System:O, token: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 Flash exploit is served from unobfuscated HTML/JS .' [/INST] [The:O, Flash:S-TOOL, exploit:O, is:O, served:O, from:O, unobfuscated:O, HTML/JS: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: 'The launcher page picks one of two Flash files to deliver depending upon the target ’s platform ( Windows 32 versus 64bits ) .' [/INST] [The:O, launcher:O, page:O, picks:O, one:O, of:O, two:O, Flash:S-TOOL, files:O, to:O, deliver:O, depending:O, upon:O, the:O, target:O, ’s:O, platform:O, (:O, Windows:B-OS, 32:E-OS, versus:O, 64bits: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 Flash exploit is mostly unobfuscated with only some light variable name mangling .' [/INST] [The:O, Flash:S-TOOL, exploit:O, is:O, mostly:O, unobfuscated:O, with:O, only:O, some:O, light:O, variable:O, name:O, mangling: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 attackers relied heavily on the CVE-2014-0515 Metasploit module , which is well documented .' [/INST] [The:O, attackers:O, relied:O, heavily:O, on:O, the:O, CVE-2014-0515:S-VULID, Metasploit:S-TOOL, module:O, ,:O, which:O, is:O, well:O, documented: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 ROPless , and instead constructs a fake vtable for a FileReference object that is modified for each call to a Windows API .' [/INST] [It:O, is:O, ROPless:S-TOOL, ,:O, and:O, instead:O, constructs:O, a:O, fake:O, vtable:O, for:O, a:O, FileReference:O, object:O, that:O, is:O, modified:O, for:O, each:O, call:O, to:O, a:O, Windows:S-OS, API: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: 'The payload exploits a local privilege escalation vulnerability in the Windows kernel if it detects that it is running with limited privileges .' [/INST] [The:O, payload:O, exploits:O, a:O, local:O, privilege:O, escalation:O, vulnerability:O, in:O, the:O, Windows:S-OS, kernel:O, if:O, it:O, detects:O, that:O, it:O, is:O, running:O, with:O, limited:O, privileges: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 uses the vulnerability to run code from userspace in the context of the kernel , which modifies the attacker ’s process token to have the same privileges as that of the System process .' [/INST] [It:O, uses:O, the:O, vulnerability:O, to:O, run:O, code:O, from:O, userspace:O, in:O, the:O, context:O, of:O, the:O, kernel:O, ,:O, which:O, modifies:O, the:O, attacker:O, ’s:O, process:O, token:O, to:O, have:O, the:O, same:O, privileges:O, as:O, that:O, of:O, the:O, System: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: 'The primary difference between the CVE-2014-0515 metasploit module and this exploit is , obviously , the vulnerability .' [/INST] [The:O, primary:O, difference:O, between:O, the:O, CVE-2014-0515:S-VULID, metasploit:O, module:O, and:O, this:O, exploit:O, is:O, ,:O, obviously:O, ,:O, the:O, vulnerability: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: 'CVE-2014-0515 exploits a vulnerability in Flash ’s Shader processing , whereas CVE-2015-3043 exploits a vulnerability in Flash ’s FLV processing .' [/INST] [CVE-2014-0515:S-VULID, exploits:O, a:O, vulnerability:O, in:O, Flash:S-TOOL, ’s:O, Shader:O, processing:O, ,:O, whereas:O, CVE-2015-3043:S-VULID, exploits:O, a:O, vulnerability:O, in:O, Flash:S-TOOL, ’s:O, FLV:S-TOOL, processing: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 culprit FLV file is embedded within AS3 in two chunks , and is reassembled at runtime .' [/INST] [The:O, culprit:O, FLV:S-TOOL, file:O, is:O, embedded:O, within:O, AS3:S-ENCR, in:O, two:O, chunks:O, ,:O, and:O, is:O, reassembled:O, at:O, runtime: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: 'A buffer overflow vulnerability exists in Adobe Flash Player ( <=17.0.0.134 ) when parsing malformed FLV objects .' [/INST] [A:O, buffer:O, overflow:O, vulnerability:O, exists:O, in:O, Adobe:B-TOOL, Flash:I-TOOL, Player:E-TOOL, (:O, <=17.0.0.134:O, ):O, when:O, parsing:O, malformed:O, FLV:S-TOOL, objects: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: 'Attackers exploiting the vulnerability can corrupt memory and gain remote code execution .' [/INST] [Attackers:O, exploiting:O, the:O, vulnerability:O, can:O, corrupt:O, memory:O, and:O, gain:O, remote:O, code:O, execution: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 the exploit , the attacker embeds the FLV object directly in the ActionScript code , and plays the video using NetStream class .' [/INST] [In:O, the:O, exploit:O, ,:O, the:O, attacker:O, embeds:O, the:O, FLV:S-TOOL, object:O, directly:O, in:O, the:O, ActionScript:S-TOOL, code:O, ,:O, and:O, plays:O, the:O, video:O, using:O, NetStream:O, class: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: 'Files of the FLV file format contain a sequence of Tag structures .' [/INST] [Files:O, of:O, the:O, FLV:S-TOOL, file:O, format:O, contain:O, a:O, sequence:O, of:O, Tag:O, structures: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: 'Beginning within the data field , all contents of the FLV stream become 0xEE .' [/INST] [Beginning:O, within:O, the:O, data:O, field:O, ,:O, all:O, contents:O, of:O, the:O, FLV:S-TOOL, stream:O, become:O, 0xEE: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: 'Consequently , the data and lastsize fields are mangled .' [/INST] [Consequently:O, ,:O, the:O, data:O, and:O, lastsize:O, fields:O, are:O, mangled: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: 'Since the size is controlled by the attacker , it ’s possible to overflow the fixed size buffer with certain data .' [/INST] [Since:O, the:O, size:O, is:O, controlled:O, by:O, the:O, attacker:O, ,:O, it:O, ’s:O, possible:O, to:O, overflow:O, the:O, fixed:O, size:O, buffer:O, with:O, certain:O, data: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 the previous picture demonstrated , the followed Vector object ’s length field being overflowed as 0x80007fff , which enables the attacker to read/write arbitrary data within user space .' [/INST] [As:O, the:O, previous:O, picture:O, demonstrated:O, ,:O, the:O, followed:O, Vector:O, object:O, ’s:O, length:O, field:O, being:O, overflowed:O, as:O, 0x80007fff:O, ,:O, which:O, enables:O, the:O, attacker:O, to:O, read/write:O, arbitrary:O, data:O, within:O, user:O, space: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: 'Shellcode is passed to the exploit from HTML in flashvars .' [/INST] [Shellcode:S-TOOL, is:O, passed:O, to:O, the:O, exploit:O, from:O, HTML:S-TOOL, in:O, flashvars: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 shellcode downloads the next stage payload , which is an executable passed in plaintext , to the temp directory with UrlDownloadToFileA , which it then runs with WinExec .' [/INST] [The:O, shellcode:S-TOOL, downloads:O, the:O, next:O, stage:O, payload:O, ,:O, which:O, is:O, an:O, executable:O, passed:O, in:O, plaintext:O, ,:O, to:O, the:O, temp:O, directory:O, with:O, UrlDownloadToFileA:O, ,:O, which:O, it:O, then:O, runs:O, with:O, WinExec: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 exploit delivers a malware variant that shares characteristics with the APT28 backdoors CHOPSTICK and CORESHELL malware families , both described in our APT28 whitepaper .' [/INST] [This:O, exploit:O, delivers:O, a:O, malware:O, variant:O, that:O, shares:O, characteristics:O, with:O, the:O, APT28:S-APT, backdoors:O, CHOPSTICK:S-MAL, and:O, CORESHELL:S-MAL, malware:O, families:O, ,:O, both:O, described:O, in:O, our:O, APT28:S-APT, whitepaper: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 malware uses an RC4 encryption key that was previously used by the CHOPSTICK backdoor .' [/INST] [The:O, malware:O, uses:O, an:O, RC4:S-ENCR, encryption:O, key:O, that:O, was:O, previously:O, used:O, by:O, the:O, CHOPSTICK:B-MAL, backdoor:E-MAL, .: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: 'And the C2 messages include a checksum algorithm that resembles those used in CHOPSTICK backdoor communications .' [/INST] [And:O, the:O, C2:S-TOOL, messages:O, include:O, a:O, checksum:O, algorithm:O, that:O, resembles:O, those:O, used:O, in:O, CHOPSTICK:B-MAL, backdoor:E-MAL, communications: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 , the network beacon traffic for the new malware resembles those used by the CORESHELL backdoor .' [/INST] [In:O, addition:O, ,:O, the:O, network:O, beacon:O, traffic:O, for:O, the:O, new:O, malware:O, resembles:O, those:O, used:O, by:O, the:O, CORESHELL:B-MAL, backdoor:E-MAL, .: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 CORESHELL , one of the beacons includes a process listing from the victim host .' [/INST] [Like:O, CORESHELL:S-MAL, ,:O, one:O, of:O, the:O, beacons:O, includes:O, a:O, process:O, listing:O, from:O, the:O, victim: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: 'And like CORESHELL , the new malware attempts to download a second-stage executable .' [/INST] [And:O, like:O, CORESHELL:S-MAL, ,:O, the:O, new:O, malware:O, attempts:O, to:O, download:O, a:O, second-stage:O, executable: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: 'One of the C2 locations for the new payload , 87.236.215.246 , also hosts a suspected APT28 domain ssl-icloud.com .' [/INST] [One:O, of:O, the:O, C2:S-TOOL, locations:O, for:O, the:O, new:O, payload:O, ,:O, 87.236.215.246:S-IP, ,:O, also:O, hosts:O, a:O, suspected:O, APT28:S-APT, domain:O, ssl-icloud.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: 'The same subnet ( 87.236.215.0 / 24 ) also hosts several known or suspected APT28 domains .' [/INST] [The:O, same:O, subnet:O, (:O, 87.236.215.0:S-DOM, /:O, 24:O, ):O, also:O, hosts:O, several:O, known:O, or:O, suspected:O, APT28:S-APT, domains: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 payload contains an exploit for the unpatched local privilege escalation vulnerability CVE-2015-1701 in Microsoft Windows .' [/INST] [The:O, payload:O, contains:O, an:O, exploit:O, for:O, the:O, unpatched:O, local:O, privilege:O, escalation:O, vulnerability:O, CVE-2015-1701:S-VULID, in:O, Microsoft:S-IDTY, Windows:S-OS, .: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 exploit uses CVE-2015-1701 to execute a callback in userspace .' [/INST] [The:O, exploit:O, uses:O, CVE-2015-1701:S-VULID, to:O, execute:O, a:O, callback:O, in:O, userspace: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 callback gets the EPROCESS structures of the current process and the System process , and copies data from the System token into the token of the current process .' [/INST] [The:O, callback:O, gets:O, the:O, EPROCESS:S-TOOL, structures:O, of:O, the:O, current:O, process:O, and:O, the:O, System:O, process:O, ,:O, and:O, copies:O, data:O, from:O, the:O, System:O, token:O, into:O, the:O, token:O, of:O, the:O, current: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: 'Upon completion , the payload continues execution in usermode with the privileges of the System process .' [/INST] [Upon:O, completion:O, ,:O, the:O, payload:O, continues:O, execution:O, in:O, usermode:O, with:O, the:O, privileges:O, of:O, the:O, System: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: 'Because CVE-2015-3043 is already patched , this remote exploit will not succeed on a fully patched system .' [/INST] [Because:O, CVE-2015-3043:S-VULID, is:O, already:O, patched:O, ,:O, this:O, remote:O, exploit:O, will:O, not:O, succeed:O, on:O, a:O, fully:O, patched: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: 'If an attacker wanted to exploit CVE-2015-1701 , they would first have to be executing code on the victim ’s machine .' [/INST] [If:O, an:O, attacker:O, wanted:O, to:O, exploit:O, CVE-2015-1701:S-VULID, ,:O, they:O, would:O, first:O, have:O, to:O, be:O, executing:O, code:O, on:O, the:O, victim:O, ’s:O, machine: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: 'Barring authorized access to the victim ’s machine , the attacker would have to find some other means , such as crafting a new Flash exploit , to deliver a CVE-2015-1701 payload .' [/INST] [Barring:O, authorized:O, access:O, to:O, the:O, victim:O, ’s:O, machine:O, ,:O, the:O, attacker:O, would:O, have:O, to:O, find:O, some:O, other:O, means:O, ,:O, such:O, as:O, crafting:O, a:O, new:O, Flash:S-TOOL, exploit:O, ,:O, to:O, deliver:O, a:O, CVE-2015-1701:S-VULID, payload: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: 'Microsoft is aware of CVE-2015-1701 and is working on a fix .' [/INST] [Microsoft:S-IDTY, is:O, aware:O, of:O, CVE-2015-1701:S-VULID, and:O, is:O, working:O, on:O, a:O, fix: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: 'CVE-2015-1701 does not affect Windows 8 and later .' [/INST] [CVE-2015-1701:S-VULID, does:O, not:O, affect:O, Windows:B-OS, 8:E-OS, and:O, later: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: 'Sofacy Attacks Multiple Government Entities .' [/INST] [Sofacy:S-APT, Attacks:O, Multiple:O, Government:O, Entities: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 : 2018-02-28' [/INST] [Release_Time:O, ::O, 2018-02-28:O] </s> |