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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: 'PROMETHIUM uses a unique set of tools and methods to perform actions like lateral movement and data exfiltration .' [/INST] [PROMETHIUM:B-HackOrg, uses:O, a:O, unique:O, set:O, of:O, tools:O, and:O, methods:O, to:O, perform:O, actions:O, like:O, lateral:O, movement:O, and:O, data:B-Purp, exfiltration:I-Purp, .: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: 'Last year , Microsoft researchers described Neodymium 's behavior as unusual : , unlike many activity groups , which typically gather information for monetary gain or economic espionage , PROMETHIUM and NEODYMIUM appear to launch campaigns simply to gather information about certain individuals .' [/INST] [Last:O, year:O, ,:O, Microsoft:B-Org, researchers:O, described:O, Neodymium:B-HackOrg, 's:O, behavior:O, as:O, unusual:O, ::O, ,:O, unlike:O, many:O, activity:B-HackOrg, groups:I-HackOrg, ,:O, which:O, typically:O, gather:B-Purp, information:I-Purp, for:O, monetary:O, gain:O, or:O, economic:B-Idus, espionage:O, ,:O, PROMETHIUM:B-HackOrg, and:O, NEODYMIUM:B-HackOrg, appear:O, to:O, launch:O, campaigns:B-OffAct, simply:O, to:O, gather:B-Purp, information:I-Purp, about:O, certain:O, individuals: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: 'Unlike many activity groups , which typically gather information for monetary gain or economic espionage , PROMETHIUM and NEODYMIUM appear to launch campaigns simply to gather information about certain individuals .' [/INST] [Unlike:O, many:O, activity:B-HackOrg, groups:I-HackOrg, ,:O, which:O, typically:O, gather:B-Purp, information:I-Purp, for:O, monetary:O, gain:O, or:O, economic:B-Idus, espionage:O, ,:O, PROMETHIUM:B-HackOrg, and:O, NEODYMIUM:B-HackOrg, appear:O, to:O, launch:O, campaigns:B-OffAct, simply:O, to:O, gather:B-Purp, information:I-Purp, about:O, certain:O, individuals: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 actor behind ProjectSauron commands a top-of-the-top modular cyber-espionage platform in terms of technical sophistication , designed to enable long-term campaigns through stealthy survival mechanisms coupled with multiple exfiltration methods .' [/INST] [The:O, threat:O, actor:O, behind:O, ProjectSauron:B-Tool, commands:O, a:O, top-of-the-top:O, modular:O, cyber-espionage:O, platform:O, in:O, terms:O, of:O, technical:O, sophistication:O, ,:O, designed:O, to:O, enable:B-Purp, long-term:I-Purp, campaigns:I-Purp, through:O, stealthy:O, survival:O, mechanisms:O, coupled:O, with:O, multiple:O, exfiltration:O, methods: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 March 2016 , Symantec published a blog on Suckfly , an advanced cyberespionage group that conducted attacks against a number of South Korean organizations to steal digital certificates .' [/INST] [In:O, March:B-Time, 2016:I-Time, ,:O, Symantec:B-SecTeam, published:O, a:O, blog:O, on:O, Suckfly:O, ,:O, an:O, advanced:O, cyberespionage:O, group:O, that:O, conducted:O, attacks:B-OffAct, against:O, a:O, number:O, of:O, South:B-Area, Korean:I-Area, organizations:O, to:O, steal:B-Purp, digital:I-Purp, certificates:I-Purp, .: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: 'During this time they were able to steal digital certificates from South Korean companies and launch attacks against Indian and Saudi Arabian government organizations .' [/INST] [During:O, this:O, time:O, they:O, were:O, able:O, to:O, steal:B-Purp, digital:I-Purp, certificates:I-Purp, from:O, South:B-Area, Korean:I-Area, companies:B-Org, and:O, launch:O, attacks:B-OffAct, against:O, Indian:O, and:O, Saudi:O, Arabian:O, government:B-Org, organizations:I-Org, .: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 ultimate objective of targeted attacks is to acquire sensitive data .' [/INST] [The:O, ultimate:O, objective:O, of:O, targeted:B-OffAct, attacks:I-OffAct, is:O, to:O, acquire:B-Purp, sensitive:I-Purp, data:I-Purp, .: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:B-HackOrg, conducts:O, strategic:B-Way, web:I-Way, compromises:I-Way, (:O, SWCs:B-Tool, ):O, ,:O, also:O, known:O, as:O, watering:B-OffAct, hole:I-OffAct, attacks:I-OffAct, ,:O, on:O, websites:O, associated:O, with:O, the:O, target:O, organization:O, 's:O, vertical:O, or:O, demographic:O, to:O, increase:B-Purp, the:I-Purp, likelihood:I-Purp, 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: '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:B-SecTeam, researchers:O, assess:O, that:O, TG-3390:B-HackOrg, aims:O, to:O, collect:O, defense:B-Purp, technology:I-Purp, and:O, capability:B-Purp, intelligence:I-Purp, ,:O, other:O, industrial:O, intelligence:O, ,:O, and:O, political:B-Idus, intelligence:I-Idus, from:O, governments:B-Idus, and:O, NGOs:I-Idus, .: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 discovered numerous details about TG-3390 operations , including how the adversaries explore a network , move laterally , and exfiltrate data .' [/INST] [CTU:B-SecTeam, researchers:O, have:O, discovered:O, numerous:O, details:O, about:O, TG-3390:B-HackOrg, operations:O, ,:O, including:O, how:O, the:O, adversaries:O, explore:O, a:O, network:O, ,:O, move:O, laterally:O, ,:O, and:O, exfiltrate:B-Purp, data:I-Purp, .: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: 'Within six hours of entering the environment , the threat actors compromised multiple systems and stole credentials for the entire domain .' [/INST] [Within:O, six:O, hours:O, of:O, entering:O, the:O, environment:O, ,:O, the:O, threat:O, actors:O, compromised:O, multiple:O, systems:O, and:O, stole:B-Purp, credentials:I-Purp, for:O, the:O, entire:O, domain: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 , BRONZE UNION remains a formidable threat group that targets intellectual property and executes its operations at a swift pace .' [/INST] [As:O, of:O, this:O, publication:O, ,:O, BRONZE:O, UNION:O, remains:O, a:O, formidable:O, threat:O, group:O, that:O, targets:O, intellectual:B-Purp, property:I-Purp, and:O, executes:O, its:O, operations:O, at:O, a:O, swift:O, pace: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 the group chose a national data center as its target from an unnamed country in Central Asia in an attempt to gain , access to a wide range of government resources at one fell swoop , .' [/INST] [This:O, time:O, the:O, group:O, chose:O, a:O, national:O, data:O, center:O, as:O, its:O, target:O, from:O, an:O, unnamed:O, country:O, in:O, Central:B-Area, Asia:I-Area, in:O, an:O, attempt:O, to:O, gain:O, ,:O, access:O, to:O, a:O, wide:O, range:O, of:O, government:B-Purp, resources:I-Purp, at:O, one:O, fell:O, swoop: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: 'Dell SecureWorks researchers unveiled a report on Threat Group-3390 that has targeted companies around the world while stealing massive amounts of industrial data .' [/INST] [Dell:B-SecTeam, SecureWorks:I-SecTeam, researchers:O, unveiled:O, a:O, report:O, on:O, Threat:O, Group-3390:B-HackOrg, that:O, has:O, targeted:O, companies:O, around:O, the:O, world:O, while:O, stealing:B-Purp, massive:I-Purp, amounts:I-Purp, of:I-Purp, industrial:I-Purp, data:I-Purp, .: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: 'LAS VEGAS—Today at the Black Hat information security conference , Dell SecureWorks researchers unveiled a report on a newly detected hacking group that has targeted companies around the world while stealing massive amounts of industrial data .' [/INST] [LAS:O, VEGAS—Today:O, at:O, the:O, Black:O, Hat:O, information:O, security:O, conference:O, ,:O, Dell:B-SecTeam, SecureWorks:I-SecTeam, researchers:O, unveiled:O, a:O, report:O, on:O, a:O, newly:O, detected:O, hacking:O, group:O, that:O, has:O, targeted:O, companies:O, around:O, the:O, world:O, while:O, stealing:B-Purp, massive:I-Purp, amounts:I-Purp, of:I-Purp, industrial:I-Purp, data:I-Purp, .: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 inside networks , the group generally targeted Windows network domain controllers and Exchange e-mail servers , targeting user credentials to allow them to move to other systems throughout the targeted network .' [/INST] [Once:O, inside:O, networks:O, ,:O, the:O, group:O, generally:O, targeted:O, Windows:O, network:O, domain:O, controllers:O, and:O, Exchange:O, e-mail:B-Way, servers:I-Way, ,:O, targeting:O, user:B-Purp, credentials:I-Purp, to:O, allow:O, them:O, to:O, move:O, to:O, other:O, systems:O, throughout:O, the:O, targeted: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: 'Also , by creating this type of API access , Turla could use one accessible server as a single point to dump data to and exfiltrate data from .' [/INST] [Also:O, ,:O, by:O, creating:O, this:O, type:O, of:O, API:B-Way, access:I-Way, ,:O, Turla:O, could:O, use:O, one:O, accessible:O, server:O, as:O, a:O, single:O, point:O, to:O, dump:O, data:O, to:O, and:O, exfiltrate:B-Purp, data:I-Purp, from:I-Purp, .: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 , based on the findings shared in this report we assess with high confidence that the actor 's primary long-term mission is politically focused .' [/INST] [However:O, ,:O, based:O, on:O, the:O, findings:O, shared:O, in:O, this:O, report:O, we:O, assess:O, with:O, high:O, confidence:O, that:O, the:O, actor:O, 's:O, primary:O, long-term:O, mission:O, is:O, politically:B-Purp, focused:I-Purp, .: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 goal of these attacks was likely to find code-signing certificates for signing future malware .' [/INST] [The:O, primary:O, goal:O, of:O, these:O, attacks:B-OffAct, was:O, likely:O, to:O, find:B-Purp, code-signing:I-Purp, certificates:I-Purp, for:O, signing:O, future: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: 'ALLANITE uses email phishing campaigns and compromised websites called watering holes to steal credentials and gain access to target networks , including collecting and distributing screenshots of industrial control systems .' [/INST] [ALLANITE:O, uses:O, email:B-OffAct, phishing:I-OffAct, campaigns:I-OffAct, and:O, compromised:B-Tool, websites:I-Tool, called:O, watering:B-Way, holes:I-Way, to:O, steal:B-Purp, credentials:I-Purp, and:O, gain:B-Purp, access:I-Purp, to:O, target:O, networks:O, ,:O, including:O, collecting:B-Purp, and:I-Purp, distributing:I-Purp, screenshots:I-Purp, of:O, industrial:O, control: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: 'ALLANITE operations limit themselves to information gathering and have not demonstrated any disruptive or damaging capabilities .' [/INST] [ALLANITE:B-OffAct, operations:I-OffAct, limit:O, themselves:O, to:O, information:B-Purp, gathering:I-Purp, and:O, have:O, not:O, demonstrated:O, any:O, disruptive:O, or:O, damaging:O, capabilities: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 current round of cyber-attacks from Chinese source groups are targeting the maritime sector in an attempt to steal technology .' [/INST] [A:O, current:O, round:O, of:O, cyber-attacks:B-OffAct, from:O, Chinese:B-Area, source:I-Area, groups:I-Area, are:O, targeting:O, the:O, maritime:B-Org, sector:I-Org, in:O, an:O, attempt:O, to:O, steal:B-Purp, technology:I-Purp, .: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: 'Dragos does not corroborate nor conduct political attribution to threat activity .' [/INST] [Dragos:B-SecTeam, does:O, not:O, corroborate:O, nor:O, conduct:O, political:B-Purp, attribution:I-Purp, to:O, threat:B-OffAct, activity:I-OffAct, .: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 recently as this past week , researchers observed Chinese hackers escalating cyber-attack efforts to steal military research secrets from US universities .' [/INST] [As:O, recently:O, as:O, this:O, past:O, week:O, ,:O, researchers:O, observed:O, Chinese:B-Area, hackers:I-Area, escalating:O, cyber-attack:B-OffAct, efforts:O, to:O, steal:B-Purp, military:I-Purp, research:I-Purp, secrets:I-Purp, from:O, US:B-Area, universities:B-Idus, .: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 group has also targeted businesses operating in the South China Sea , which is a strategically important region and the focus of disputes between China and other states .' [/INST] [The:O, group:O, has:O, also:O, targeted:O, businesses:B-Idus, operating:O, in:O, the:O, South:B-Area, China:I-Area, Sea:I-Area, ,:O, which:O, is:O, a:O, strategically:O, important:O, region:O, and:O, the:O, focus:O, of:O, disputes:B-Purp, between:I-Purp, China:I-Purp, and:I-Purp, other:I-Purp, states:I-Purp, .: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 espionage campaigns , much of APT40 's activity begins by attempting to trick targets with phishing emails , before deploying malware such as the Gh0st RAT trojan to maintain persistence on a compromised network .' [/INST] [Like:O, many:O, espionage:B-OffAct, campaigns:I-OffAct, ,:O, much:O, of:O, APT40:B-HackOrg, 's:O, activity:B-OffAct, begins:O, by:O, attempting:O, to:O, trick:O, targets:O, with:O, phishing:B-Way, emails:I-Way, ,:O, before:O, deploying:O, malware:O, such:O, as:O, the:O, Gh0st:B-Tool, RAT:I-Tool, trojan:I-Tool, to:O, maintain:B-Purp, persistence:I-Purp, on:I-Purp, a:I-Purp, compromised:I-Purp, network:I-Purp, .: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 group used malware with keylogging capabilities to monitor the computer of an executive who manages the company 's relationships with other telecommunications companies .' [/INST] [The:O, group:O, used:O, malware:O, with:O, keylogging:O, capabilities:O, to:O, monitor:B-Purp, the:I-Purp, computer:I-Purp, of:O, an:O, executive:O, who:O, manages:O, the:O, company:O, 's:O, relationships:O, with:O, other:O, telecommunications:B-Org, companies:I-Org, .: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 suspect that the group sought access to these networks to obtain information that would enable it to monitor communications passing through the providers' systems .' [/INST] [We:O, suspect:O, that:O, the:O, group:O, sought:O, access:O, to:O, these:O, networks:O, to:O, obtain:O, information:O, that:O, would:O, enable:O, it:O, to:O, monitor:B-Purp, communications:I-Purp, passing:O, through:O, the:O, providers':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: 'Bahamut was shown to be resourceful , not only maintaining their own Android malware but running propaganda sites , although the quality of these activities varied noticeably .' [/INST] [Bahamut:B-HackOrg, was:O, shown:O, to:O, be:O, resourceful:O, ,:O, not:O, only:O, maintaining:O, their:O, own:O, Android:B-Tool, malware:I-Tool, but:O, running:B-Purp, propaganda:I-Purp, sites:I-Purp, ,:O, although:O, the:O, quality:O, of:O, these:O, activities:B-OffAct, varied:O, noticeably: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 curious trait of Bahamut is that it develops fully-functional applications in support of its espionage activities , rather than push nonfunctional fake apps or bundle malware with legitimate software .' [/INST] [One:O, curious:O, trait:O, of:O, Bahamut:O, is:O, that:O, it:O, develops:O, fully-functional:O, applications:O, in:O, support:B-Purp, of:I-Purp, its:I-Purp, espionage:I-Purp, activities:I-Purp, ,:O, rather:O, than:O, push:O, nonfunctional:O, fake:O, apps:O, or:O, bundle:O, malware:O, with:O, legitimate:B-Tool, software:I-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: 'Curiously , Bahamut appears to track password attempts in response to failed phishing attempts or to provoke the target to provide more passwords .' [/INST] [Curiously:O, ,:O, Bahamut:O, appears:O, to:O, track:O, password:O, attempts:O, in:O, response:O, to:O, failed:O, phishing:B-Way, attempts:O, or:O, to:O, provoke:O, the:O, target:O, to:O, provide:B-Purp, more:I-Purp, passwords:I-Purp, .: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: 'Thus far , Bahamut 's campaigns have appeared to be primarily espionage or information operations – not destructive attacks or fraud .' [/INST] [Thus:O, far:O, ,:O, Bahamut:B-HackOrg, 's:O, campaigns:B-OffAct, have:O, appeared:O, to:O, be:O, primarily:B-Purp, espionage:I-Purp, or:O, information:B-Purp, operations:I-Purp, –:O, not:O, destructive:B-OffAct, attacks:I-OffAct, or:O, fraud: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 Barium Defendants have access to a victim computer through the malware described above , they monitor the victim 's activity and ultimately search for and steal sensitive documents ( for example , exfiltration of intellectual property regarding technology has been seen ) , and personal information fi"om the victim 's network .' [/INST] [Once:O, the:O, Barium:O, Defendants:O, have:O, access:O, to:O, a:O, victim:O, computer:O, through:O, the:O, malware:O, described:O, above:O, ,:O, they:O, monitor:O, the:O, victim:O, 's:O, activity:B-OffAct, and:O, ultimately:O, search:O, for:O, and:O, steal:B-Purp, sensitive:I-Purp, documents:I-Purp, (:O, for:O, example:O, ,:O, exfiltration:O, of:O, intellectual:B-Purp, property:I-Purp, regarding:O, technology:B-Idus, has:O, been:O, seen:O, ):O, ,:O, and:O, personal:O, information:O, fi"om:O, the:O, victim:O, 's: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: 'Based on the mutexes and domain names of some of their C&C servers , BlackTech 's campaigns are likely designed to steal their target 's technology .' [/INST] [Based:O, on:O, the:O, mutexes:O, and:O, domain:O, names:O, of:O, some:O, of:O, their:O, C&C:O, servers:O, ,:O, BlackTech:O, 's:O, campaigns:B-OffAct, are:O, likely:O, designed:O, to:O, steal:B-Purp, their:I-Purp, target:I-Purp, 's:I-Purp, technology:I-Purp, .: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: 'Bookworm has little malicious functionality built-in , with its only core ability involving stealing keystrokes and clipboard contents .' [/INST] [Bookworm:B-Tool, has:O, little:O, malicious:O, functionality:O, built-in:O, ,:O, with:O, its:O, only:O, core:O, ability:O, involving:O, stealing:B-Purp, keystrokes:I-Purp, and:I-Purp, clipboard:I-Purp, contents:I-Purp, .: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: 'Also , Bookworm uses a combination of encryption and compression algorithms to obfuscate the traffic between the system and C2 server .' [/INST] [Also:O, ,:O, Bookworm:B-Tool, uses:O, a:O, combination:O, of:O, encryption:O, and:O, compression:O, algorithms:O, to:O, obfuscate:B-Purp, the:I-Purp, traffic:I-Purp, between:O, the:O, system:O, and:O, C2: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: 'They have different functions and ways of spreading , but the same purpose — to steal money from the accounts of businesses .' [/INST] [They:O, have:O, different:O, functions:O, and:O, ways:O, of:O, spreading:O, ,:O, but:O, the:O, same:O, purpose:O, —:O, to:O, steal:B-Purp, money:I-Purp, from:O, the:O, accounts:O, of:O, businesses:B-Idus, .: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: 'At that time it was the name of a cybercriminal group that was stealing money from Russian financial establishments — to the tune of at least $150,000 per hit .' [/INST] [At:O, that:O, time:O, it:O, was:O, the:O, name:O, of:O, a:O, cybercriminal:O, group:O, that:O, was:O, stealing:B-Purp, money:I-Purp, from:O, Russian:B-Area, financial:B-Org, establishments:I-Org, —:O, to:O, the:O, tune:O, of:O, at:O, least:O, $150,000:O, per:O, hit: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: 'Estimating the damages is challenging , but as we learned , the criminals are siphoning off assets in transactions that do not exceed $15,000 each .' [/INST] [Estimating:O, the:O, damages:O, is:O, challenging:O, ,:O, but:O, as:O, we:O, learned:O, ,:O, the:O, criminals:O, are:O, siphoning:B-Purp, off:I-Purp, assets:I-Purp, in:I-Purp, transactions:I-Purp, that:O, do:O, not:O, exceed:O, $15,000:O, each: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 an exploitable page is identified , Clever Kitten will attempt to upload a PHP backdoor to gain remote access to the system .' [/INST] [Once:O, an:O, exploitable:O, page:O, is:O, identified:O, ,:O, Clever:O, Kitten:O, will:O, attempt:O, to:O, upload:O, a:O, PHP:O, backdoor:O, to:O, gain:B-Purp, remote:I-Purp, access:I-Purp, to:I-Purp, the:I-Purp, system:I-Purp, .: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 an exploitable page is identified , the actor will attempt to upload a PHP backdoor to gain remote access to the system .' [/INST] [Once:O, an:O, exploitable:O, page:O, is:O, identified:O, ,:O, the:O, actor:O, will:O, attempt:O, to:O, upload:O, a:O, PHP:O, backdoor:O, to:O, gain:B-Purp, remote:I-Purp, access:I-Purp, to:I-Purp, the:I-Purp, system:I-Purp, .: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 Clever Kitten 's attacks , the goal is lateral movement ; this is an attempt to move further into the target environment in order to begin intelligence collection .' [/INST] [In:O, Clever:O, Kitten:O, 's:O, attacks:B-OffAct, ,:O, the:O, goal:O, is:O, lateral:O, movement:O, ;:O, this:O, is:O, an:O, attempt:O, to:O, move:O, further:O, into:O, the:O, target:O, environment:O, in:O, order:O, to:O, begin:O, intelligence:B-Purp, collection:I-Purp, .: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: 'Confucius' operations include deploying bespoke backdoors and stealing files from their victim 's systems with tailored file stealers , some of which bore resemblances to Patchwork 's .' [/INST] [Confucius':O, operations:O, include:O, deploying:B-Purp, bespoke:I-Purp, backdoors:I-Purp, and:O, stealing:B-Purp, files:I-Purp, from:O, their:O, victim:O, 's:O, systems:O, with:O, tailored:O, file:O, stealers:O, ,:O, some:O, of:O, which:O, bore:O, resemblances:O, to:O, Patchwork:B-HackOrg, 's: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 actors like Confucius and Patchwork are known for their large arsenal of tools and ever-evolving techniques that can render traditional security solutions — which are often not designed to handle the persistent and sophisticated threats detailed in this blog — ineffective .' [/INST] [Threat:O, actors:O, like:O, Confucius:B-HackOrg, and:O, Patchwork:B-HackOrg, are:O, known:O, for:O, their:O, large:O, arsenal:O, of:O, tools:O, and:O, ever-evolving:O, techniques:O, that:O, can:O, render:B-Purp, traditional:I-Purp, security:I-Purp, solutions:I-Purp, —:O, which:O, are:O, often:O, not:O, designed:O, to:O, handle:O, the:O, persistent:O, and:O, sophisticated:O, threats:O, detailed:O, in:O, this:O, blog:O, —:O, ineffective: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 order to increase the likelihood of their malware successfully communicating home , cyber espionage threat actors are increasingly abusing legitimate web services , in lieu of DNS lookups to retrieve a command and control address .' [/INST] [In:O, order:O, to:O, increase:B-Purp, the:I-Purp, likelihood:I-Purp, of:O, their:O, malware:O, successfully:O, communicating:O, home:O, ,:O, cyber:O, espionage:O, threat:O, actors:O, are:O, increasingly:O, abusing:B-Way, legitimate:I-Way, web:I-Way, services:I-Way, ,:O, in:O, lieu:O, of:O, DNS:B-Way, lookups:I-Way, to:O, retrieve:O, a:O, command:O, and:O, control:O, address: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 spread the Corkow malware criminals use a drive-by downloads method , when victims are infected while visiting compromised legitimate websites .' [/INST] [To:O, spread:B-Purp, the:I-Purp, Corkow:I-Purp, malware:I-Purp, criminals:O, use:O, a:O, drive-by:O, downloads:O, method:O, ,:O, when:O, victims:O, are:O, infected:O, while:O, visiting:O, compromised:O, legitimate: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: 'Group-IB specialists detected various sites used by criminals to spread the Trojan : mail tracking websites , news portals , electronic books , computer graphics resources , music portals , etc .' [/INST] [Group-IB:B-SecTeam, specialists:O, detected:O, various:O, sites:O, used:O, by:O, criminals:O, to:O, spread:B-Purp, the:I-Purp, Trojan:I-Purp, ::O, mail:B-Tool, tracking:I-Tool, websites:I-Tool, ,:O, news:B-Tool, portals:I-Tool, ,:O, electronic:B-Tool, books:I-Tool, ,:O, computer:B-Tool, graphics:I-Tool, resources:I-Tool, ,:O, music:B-Tool, portals:I-Tool, ,:O, etc: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: 'Metel is a banking Trojan ( also known as Corkow ) discovered in 2011 when it was used to attack users of online banking services .' [/INST] [Metel:B-Tool, is:O, a:O, banking:B-Tool, Trojan:I-Tool, (:O, also:O, known:O, as:O, Corkow:B-HackOrg, ):O, discovered:O, in:O, 2011:B-Time, when:O, it:O, was:O, used:O, to:O, attack:O, users:B-Purp, of:I-Purp, online:I-Purp, banking:I-Purp, services:I-Purp, .: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 infection stage , criminals move laterally with the help of legitimate and pentesting tools , stealing passwords from their initial victims ( entry point ) to gain access to the computers within the organization that have access to money transactions .' [/INST] [After:O, the:O, infection:O, stage:O, ,:O, criminals:O, move:O, laterally:O, with:O, the:O, help:O, of:O, legitimate:O, and:O, pentesting:O, tools:O, ,:O, stealing:B-Purp, passwords:I-Purp, from:O, their:O, initial:O, victims:O, (:O, entry:O, point:O, ):O, to:O, gain:B-Purp, access:I-Purp, to:O, the:O, computers:O, within:O, the:O, organization:O, that:O, have:O, access:O, to:O, money:O, transactions: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: 'Delivering a backdoor and spyware , this campaign was designed to steal information from infected systems using a malware client capable of filtering out , uninteresting , files , and spread primarily via a targeted phishing email usually promising a pornographic video .' [/INST] [Delivering:B-Purp, a:I-Purp, backdoor:I-Purp, and:I-Purp, spyware:I-Purp, ,:O, this:O, campaign:B-OffAct, was:O, designed:O, to:O, steal:B-Purp, information:I-Purp, from:O, infected:O, systems:O, using:O, a:O, malware:O, client:O, capable:O, of:O, filtering:O, out:O, ,:O, uninteresting:O, ,:O, files:O, ,:O, and:O, spread:O, primarily:O, via:O, a:O, targeted:O, phishing:B-Way, email:I-Way, usually:O, promising:O, a:O, pornographic:O, video: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: 'Delivering a backdoor and spyware , Desert Falcons 's campaign was designed to steal information from infected systems using a malware client capable of filtering out , uninteresting , files , and spread primarily via a targeted phishing email usually promising a pornographic video .' [/INST] [Delivering:B-Purp, a:I-Purp, backdoor:I-Purp, and:I-Purp, spyware:I-Purp, ,:O, Desert:O, Falcons:O, 's:O, campaign:B-OffAct, was:O, designed:O, to:O, steal:B-Purp, information:I-Purp, from:O, infected:O, systems:O, using:O, a:O, malware:O, client:O, capable:O, of:O, filtering:O, out:O, ,:O, uninteresting:O, ,:O, files:O, ,:O, and:O, spread:O, primarily:O, via:O, a:O, targeted:O, phishing:B-Way, email:I-Way, usually:O, promising:O, a:O, pornographic:O, video: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: 'Talos said the perpetrators of DNSpionage were able to steal email and other login credentials from a number of government and private sector entities in Lebanon and the United Arab Emirates by hijacking the DNS servers for these targets , so that all email and virtual private networking ( VPN ) traffic was redirected to an Internet address controlled by the attackers .' [/INST] [Talos:B-SecTeam, said:O, the:O, perpetrators:O, of:O, DNSpionage:B-OffAct, were:O, able:O, to:O, steal:B-Purp, email:I-Purp, and:O, other:O, login:B-Purp, credentials:I-Purp, from:O, a:O, number:O, of:O, government:B-Idus, and:O, private:O, sector:O, entities:O, in:O, Lebanon:O, and:O, the:O, United:O, Arab:O, Emirates:O, by:O, hijacking:O, the:O, DNS:O, servers:O, for:O, these:O, targets:O, ,:O, so:O, that:O, all:O, email:B-Way, and:O, virtual:O, private:O, networking:O, (:O, VPN:B-Tool, ):O, traffic:O, was:O, redirected:O, to:O, an:O, Internet:O, address:O, controlled:O, by:O, the:O, attackers: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: 'Talos reported that these DNS hijacks also paved the way for the attackers to obtain SSL encryption certificates for the targeted domains ( e.g.webmail.finance.gov.lb ) , which allowed them to decrypt the intercepted email and VPN credentials and view them in plain text .' [/INST] [Talos:B-SecTeam, reported:O, that:O, these:O, DNS:B-Way, hijacks:I-Way, also:O, paved:O, the:O, way:O, for:O, the:O, attackers:O, to:O, obtain:B-Purp, SSL:I-Purp, encryption:I-Purp, certificates:I-Purp, for:O, the:O, targeted:O, domains:O, (:O, e.g.webmail.finance.gov.lb:O, ):O, ,:O, which:O, allowed:O, them:O, to:O, decrypt:O, the:O, intercepted:B-Purp, email:I-Purp, and:O, VPN:B-Purp, credentials:I-Purp, and:O, view:O, them:O, in:O, plain:O, text: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 APT group usually carries out target attacks against government agencies to steal sensitive information .' [/INST] [This:O, APT:O, group:O, usually:O, carries:O, out:O, target:B-OffAct, attacks:I-OffAct, against:O, government:B-Org, agencies:I-Org, to:O, steal:B-Purp, sensitive:I-Purp, information:I-Purp, .: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: 'All attackers simply moved to new C2 infrastructure , based largely around dynamic DNS domains , in addition to making minimal changes to the malware in order to evade signature-based detection .' [/INST] [All:O, attackers:O, simply:O, moved:O, to:O, new:O, C2:O, infrastructure:O, ,:O, based:O, largely:O, around:O, dynamic:B-Way, DNS:I-Way, domains:I-Way, ,:O, in:O, addition:O, to:O, making:O, minimal:O, changes:O, to:O, the:O, malware:O, in:O, order:O, to:O, evade:B-Purp, signature-based:I-Purp, detection:I-Purp, .: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 GozNym , attackers dupe users by showing them the actual bank 's URL and SSL certificate .' [/INST] [With:O, GozNym:B-Tool, ,:O, attackers:O, dupe:B-Purp, users:I-Purp, by:O, showing:O, them:O, the:O, actual:O, bank:B-Idus, 's:O, URL:B-Tool, and:O, SSL:B-Tool, certificate:I-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: 'During these intrusions , LEAD 's objective was to steal sensitive data , including research materials , process documents , and project plans .' [/INST] [During:O, these:O, intrusions:O, ,:O, LEAD:O, 's:O, objective:O, was:O, to:O, steal:B-Purp, sensitive:I-Purp, data:I-Purp, ,:O, including:O, research:O, materials:O, ,:O, process:O, documents:O, ,:O, and:O, project:O, plans: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 the machine is in isolation , SOC personnel can direct the infected machine to collect live investigation data , such as the DNS cache or security event logs , which they can use to verify alerts , assess the state of the intrusion , and support follow-up actions .' [/INST] [While:O, the:O, machine:O, is:O, in:O, isolation:O, ,:O, SOC:B-Org, personnel:I-Org, can:O, direct:O, the:O, infected:O, machine:O, to:O, collect:O, live:O, investigation:O, data:O, ,:O, such:O, as:O, the:O, DNS:O, cache:O, or:O, security:O, event:O, logs:O, ,:O, which:O, they:O, can:O, use:O, to:O, verify:B-Purp, alerts:I-Purp, ,:O, assess:O, the:O, state:O, of:O, the:O, intrusion:O, ,:O, and:O, support:O, follow-up:O, actions: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 Russia , there were several relatively large cybercriminal groups engaged in financial theft via attacks on RBS .' [/INST] [In:O, Russia:O, ,:O, there:O, were:O, several:O, relatively:O, large:O, cybercriminal:O, groups:O, engaged:O, in:O, financial:B-Purp, theft:I-Purp, via:O, attacks:B-OffAct, on:O, RBS: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 2011 , the robbers had allegedly been stealing money directly from bank accounts in Russia and other countries of the Commonwealth of Independent States ( CIS ) by using a Trojan called Lurk .' [/INST] [Since:O, 2011:B-Time, ,:O, the:O, robbers:O, had:O, allegedly:O, been:O, stealing:B-Purp, money:I-Purp, directly:O, from:O, bank:O, accounts:O, in:O, Russia:B-Area, and:O, other:O, countries:O, of:O, the:O, Commonwealth:O, of:O, Independent:O, States:O, (:O, CIS:O, ):O, by:O, using:O, a:O, Trojan:B-Tool, called:O, Lurk:B-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: 'Cadelle 's threats are capable of opening a back door and stealing information from victims' computers .' [/INST] [Cadelle:O, 's:O, threats:O, are:O, capable:O, of:O, opening:O, a:O, back:O, door:O, and:O, stealing:B-Purp, information:I-Purp, from:O, victims':O, computers: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 threats are capable of opening a back door and stealing information from victims' computers .' [/INST] [These:O, threats:O, are:O, capable:O, of:O, opening:O, a:O, back:O, door:O, and:O, stealing:B-Purp, information:I-Purp, from:O, victims':O, computers: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: 'Callisto Group appears to be intelligence gathering related to European foreign and security policy .' [/INST] [Callisto:O, Group:O, appears:O, to:O, be:O, intelligence:B-Purp, gathering:I-Purp, related:O, to:O, European:O, foreign:O, and:O, security:O, policy: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 our analysis of Callisto Group 's usage of RCS Galileo , we believe the Callisto Group did not utilize the leaked RCS Galileo source code , but rather used the leaked readymade installers to set up their own installation of the RCS Galileo platform .' [/INST] [Based:O, on:O, our:O, analysis:O, of:O, Callisto:B-HackOrg, Group:I-HackOrg, 's:O, usage:O, of:O, RCS:O, Galileo:O, ,:O, we:O, believe:O, the:O, Callisto:O, Group:O, did:O, not:O, utilize:O, the:O, leaked:O, RCS:O, Galileo:O, source:O, code:O, ,:O, but:O, rather:O, used:O, the:O, leaked:O, readymade:O, installers:B-Tool, to:O, set:B-Purp, up:I-Purp, their:I-Purp, own:I-Purp, installation:I-Purp, of:O, the:O, RCS:O, Galileo:O, platform: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: 'Called Greenbug , this group is believed to be instrumental in helping Shamoon steal user credentials of targets ahead of Shamoon 's destructive attacks .' [/INST] [Called:O, Greenbug:O, ,:O, this:O, group:O, is:O, believed:O, to:O, be:O, instrumental:O, in:O, helping:O, Shamoon:O, steal:B-Purp, user:I-Purp, credentials:I-Purp, of:O, targets:O, ahead:O, of:O, Shamoon:O, 's:O, destructive:B-OffAct, attacks:I-OffAct, .: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 Tuesday , Arbor Networks said that it has new leads on a credential stealing remote access Trojan ( RAT ) called Ismdoor , possibly used by Greenbug to steal credentials on Shamoon 's behalf .' [/INST] [On:O, Tuesday:B-Time, ,:O, Arbor:B-SecTeam, Networks:I-SecTeam, said:O, that:O, it:O, has:O, new:O, leads:O, on:O, a:O, credential:O, stealing:O, remote:O, access:O, Trojan:B-Tool, (:O, RAT:B-Tool, ):O, called:O, Ismdoor:B-Tool, ,:O, possibly:O, used:O, by:O, Greenbug:O, to:O, steal:B-Purp, credentials:I-Purp, on:O, Shamoon:O, 's:O, behalf: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's now relying on a new DNS-based attack technique to better cloak command and control communications between Greenbug and the malware , , said Dennis Schwarz , research analyst on Arbor 's ASERT Team , in an interview with Threatpost .' [/INST] [It's:O, now:O, relying:O, on:O, a:O, new:O, DNS-based:B-Tool, attack:I-Tool, technique:I-Tool, to:O, better:O, cloak:B-Purp, command:I-Purp, and:O, control:B-Purp, communications:I-Purp, between:O, Greenbug:O, and:O, the:O, malware:O, ,:O, ,:O, said:O, Dennis:O, Schwarz:O, ,:O, research:O, analyst:O, on:O, Arbor:B-SecTeam, 's:I-SecTeam, ASERT:I-SecTeam, Team:I-SecTeam, ,:O, in:O, an:O, interview:O, with:O, Threatpost: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: 't's now relying on a new DNS-based attack technique to better cloak command and control communications between Greenbug and the malware , , said Dennis Schwarz , research analyst on Arbor 's ASERT Team , in an interview with Threatpost .' [/INST] [t's:O, now:O, relying:O, on:O, a:O, new:O, DNS-based:B-Tool, attack:I-Tool, technique:I-Tool, to:O, better:O, cloak:B-Purp, command:I-Purp, and:O, control:B-Purp, communications:I-Purp, between:O, Greenbug:O, and:O, the:O, malware:O, ,:O, ,:O, said:O, Dennis:O, Schwarz:O, ,:O, research:O, analyst:O, on:O, Arbor:B-SecTeam, 's:I-SecTeam, ASERT:I-SecTeam, Team:I-SecTeam, ,:O, in:O, an:O, interview:O, with:O, Threatpost: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 context of the Ismdoor RAT , the DNS attack technique is used primarily by Greenbug for stealing credentials .' [/INST] [In:O, the:O, context:O, of:O, the:O, Ismdoor:B-Tool, RAT:I-Tool, ,:O, the:O, DNS:B-OffAct, attack:I-OffAct, technique:O, is:O, used:O, primarily:O, by:O, Greenbug:O, for:O, stealing:B-Purp, credentials:I-Purp, .: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: 'According to the security experts , this collection of malware was discovered after their first initial report was published , meaning that Group 27 ignored the fact they were unmasked and continued to infect their targets regardless , through the same entry point , the Myanmar Union Election Commission ( UEC ) website .' [/INST] [According:O, to:O, the:O, security:O, experts:O, ,:O, this:O, collection:O, of:O, malware:O, was:O, discovered:O, after:O, their:O, first:O, initial:O, report:O, was:O, published:O, ,:O, meaning:O, that:O, Group:O, 27:O, ignored:O, the:O, fact:O, they:O, were:O, unmasked:O, and:O, continued:O, to:O, infect:B-Purp, their:I-Purp, targets:I-Purp, regardless:O, ,:O, through:O, the:O, same:O, entry:O, point:O, ,:O, the:O, Myanmar:B-Org, Union:I-Org, Election:I-Org, Commission:I-Org, (:O, UEC:B-Org, ):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: 'The attackers compromised two legitimate Thai websites to host the malware , which is a tactic this group has used in the past .' [/INST] [The:O, attackers:O, compromised:O, two:O, legitimate:B-Tool, Thai:I-Tool, websites:I-Tool, to:O, host:B-Purp, the:I-Purp, malware:I-Purp, ,:O, which:O, is:O, a:O, tactic:O, this:O, group:O, has:O, used:O, in:O, the:O, past: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 were not able to find additional tools , but the attackers again compromised a legitimate Thai website to host their malware , in this case the student portal for a Thai University .' [/INST] [We:O, were:O, not:O, able:O, to:O, find:O, additional:O, tools:O, ,:O, but:O, the:O, attackers:O, again:O, compromised:O, a:O, legitimate:O, Thai:O, website:O, to:O, host:B-Purp, their:I-Purp, malware:I-Purp, ,:O, in:O, this:O, case:O, the:O, student:O, portal:O, for:O, a:O, Thai:O, University: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 we have seen in some previous targeted malware attacks , the attackers in this incident are taking advantage of services like changeip.com to establish free subdomains in their infrastructure .' [/INST] [As:O, we:O, have:O, seen:O, in:O, some:O, previous:O, targeted:B-OffAct, malware:I-OffAct, attacks:I-OffAct, ,:O, the:O, attackers:O, in:O, this:O, incident:O, are:O, taking:O, advantage:O, of:O, services:O, like:O, changeip.com:O, to:O, establish:B-Purp, free:I-Purp, subdomains:I-Purp, in:O, their:O, infrastructure: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: 'Blending in with legitimate traffic is a common tactic used by attackers to help fly under the radar .' [/INST] [Blending:O, in:O, with:O, legitimate:B-Tool, traffic:I-Tool, is:O, a:O, common:O, tactic:O, used:O, by:O, attackers:O, to:O, help:O, fly:B-Purp, under:I-Purp, the:I-Purp, radar:I-Purp, .: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 Tibetan community has been targeted for over a decade by espionage operations that use malware to infiltrate communications and gather information .' [/INST] [The:O, Tibetan:B-Org, community:I-Org, has:O, been:O, targeted:O, for:O, over:O, a:O, decade:O, by:O, espionage:B-OffAct, operations:I-OffAct, that:O, use:O, malware:B-Tool, to:O, infiltrate:B-Purp, communications:I-Purp, and:O, gather:B-Purp, information:I-Purp, .: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: 'he Tibetan community has been targeted for over a decade by espionage operations that use malware to infiltrate communications and gather information .' [/INST] [he:O, Tibetan:B-Org, community:I-Org, has:O, been:O, targeted:O, for:O, over:O, a:O, decade:O, by:O, espionage:B-OffAct, operations:I-OffAct, that:O, use:O, malware:B-Tool, to:O, infiltrate:B-Purp, communications:I-Purp, and:O, gather:B-Purp, information:I-Purp, .: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 another modification , first observed in the most recent October 11 Parliamentarian operation ( version agewkassif ) , the developer (s ) of KeyBoy began using a string obfuscation routine in order to hide many of the critical values referenced within the malware .' [/INST] [In:O, another:O, modification:O, ,:O, first:O, observed:O, in:O, the:O, most:O, recent:O, October:B-Time, 11:O, Parliamentarian:O, operation:O, (:O, version:O, agewkassif:O, ):O, ,:O, the:O, developer:O, (s:O, ):O, of:O, KeyBoy:B-Tool, began:O, using:O, a:O, string:B-Tool, obfuscation:I-Tool, routine:I-Tool, in:O, order:O, to:O, hide:B-Purp, many:I-Purp, of:I-Purp, the:I-Purp, critical:I-Purp, values:I-Purp, referenced:O, within:O, the: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: 'To control the full operation , MoneyTaker uses a Pentest framework Server .' [/INST] [To:O, control:B-Purp, the:I-Purp, full:I-Purp, operation:I-Purp, ,:O, MoneyTaker:B-HackOrg, uses:O, a:O, Pentest:B-Tool, framework:I-Tool, Server:I-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: 'At the end of June 2015 Mofang started its campaign to gather information of a specific target in relation to the sezs : the cpg Corporation .' [/INST] [At:O, the:O, end:O, of:O, June:B-Time, 2015:I-Time, Mofang:O, started:O, its:O, campaign:B-OffAct, to:O, gather:B-Purp, information:I-Purp, of:O, a:O, specific:O, target:O, in:O, relation:O, to:O, the:O, sezs:O, ::O, the:O, cpg:B-Org, Corporation:I-Org, .: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 successfully infecting one of the computers and gaining initial access to the system , the attackers perform reconnaissance of the local network in order to gain domain administrator privileges and eventually consolidate control over the network .' [/INST] [After:O, successfully:O, infecting:O, one:O, of:O, the:O, computers:O, and:O, gaining:B-Purp, initial:I-Purp, access:I-Purp, to:I-Purp, the:I-Purp, system:I-Purp, ,:O, the:O, attackers:O, perform:O, reconnaissance:O, of:O, the:O, local:O, network:O, in:O, order:O, to:O, gain:B-Purp, domain:I-Purp, administrator:I-Purp, privileges:I-Purp, and:O, eventually:O, consolidate:B-Purp, control:I-Purp, over:I-Purp, the:I-Purp, network:I-Purp, .: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 newly observed activity uses a series of redirections and fileless , malicious implementations of legitimate tools to gain access to the targeted systems .' [/INST] [This:O, newly:O, observed:O, activity:B-OffAct, uses:O, a:O, series:O, of:O, redirections:O, and:O, fileless:O, ,:O, malicious:O, implementations:O, of:O, legitimate:O, tools:O, to:O, gain:B-Purp, access:I-Purp, to:O, the:O, targeted: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: 'The goal of the attackers appears to be to collect intellectual property such as design documents , formulas , and manufacturing processes .' [/INST] [The:O, goal:O, of:O, the:O, attackers:O, appears:O, to:O, be:O, to:O, collect:B-Purp, intellectual:I-Purp, property:I-Purp, such:O, as:O, design:O, documents:O, ,:O, formulas:O, ,:O, and:O, manufacturing:O, processes: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 purpose of the attacks appears to be industrial espionage , collecting intellectual property for competitive advantage .' [/INST] [The:O, purpose:O, of:O, the:O, attacks:B-OffAct, appears:O, to:O, be:O, industrial:O, espionage:O, ,:O, collecting:B-Purp, intellectual:I-Purp, property:I-Purp, for:O, competitive:O, advantage: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 particular threat was also used by hackers to compromise a Korean social network site to steal records of 35 million users .' [/INST] [This:O, particular:O, threat:O, was:O, also:O, used:O, by:O, hackers:O, to:O, compromise:O, a:O, Korean:O, social:O, network:O, site:O, to:O, steal:B-Purp, records:I-Purp, of:O, 35:O, million:O, users: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 attacks are primarily targeting private industry in search of key intellectual property for competitive advantage , military institutions , and governmental organizations often in search of documents related to current political events and human rights organizations .' [/INST] [These:O, attacks:B-OffAct, are:O, primarily:O, targeting:O, private:B-Idus, industry:I-Idus, in:O, search:O, of:O, key:O, intellectual:B-Purp, property:I-Purp, for:O, competitive:O, advantage:O, ,:O, military:B-Org, institutions:I-Org, ,:O, and:O, governmental:B-Org, organizations:I-Org, often:O, in:O, search:O, of:O, documents:O, related:O, to:O, current:O, political:B-Idus, events:O, and:O, human:B-Org, rights:I-Org, organizations:I-Org, .: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: 'Nitro 's campaign focused on the chemical sector with the goal of obtaining sensitive documents such as proprietary designs , formulas , and manufacturing processes .' [/INST] [Nitro:B-HackOrg, 's:O, campaign:B-OffAct, focused:O, on:O, the:O, chemical:B-Org, sector:I-Org, with:O, the:O, goal:O, of:O, obtaining:B-Purp, sensitive:I-Purp, documents:I-Purp, such:O, as:O, proprietary:O, designs:O, ,:O, formulas:O, ,:O, and:O, manufacturing:O, processes: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 attack campaign focused on the chemical sector with the goal of obtaining sensitive documents such as proprietary designs , formulas , and manufacturing processes .' [/INST] [This:O, attack:B-OffAct, campaign:I-OffAct, focused:O, on:O, the:O, chemical:B-Org, sector:I-Org, with:O, the:O, goal:O, of:O, obtaining:B-Purp, sensitive:I-Purp, documents:I-Purp, such:O, as:O, proprietary:O, designs:O, ,:O, formulas:O, ,:O, and:O, manufacturing:O, processes: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: 'Examples of notable Potao dissemination techniques , some of which were previously unseen , or at least relatively uncommon , include the use of highly-targeted spear-phishing SMS messages to drive potential victims to malware download sites and USB worm functionality that tricked the user into ' willingly ' executing the trojan .' [/INST] [Examples:O, of:O, notable:O, Potao:B-Tool, dissemination:O, techniques:O, ,:O, some:O, of:O, which:O, were:O, previously:O, unseen:O, ,:O, or:O, at:O, least:O, relatively:O, uncommon:O, ,:O, include:O, the:O, use:O, of:O, highly-targeted:O, spear-phishing:B-Way, SMS:O, messages:O, to:O, drive:B-Purp, potential:I-Purp, victims:I-Purp, to:I-Purp, malware:I-Purp, download:I-Purp, sites:I-Purp, and:O, USB:B-Purp, worm:I-Purp, functionality:O, that:O, tricked:B-Purp, the:I-Purp, user:I-Purp, into:O, ':O, willingly:O, ':O, executing:O, the:O, trojan: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 PassCV group continues to be one of the most successful and active threat groups that leverage a wide array of stolen Authenticode-signing certificates .' [/INST] [The:O, PassCV:B-HackOrg, group:I-HackOrg, continues:O, to:O, be:O, one:O, of:O, the:O, most:O, successful:O, and:O, active:O, threat:O, groups:O, that:O, leverage:O, a:O, wide:O, array:O, of:O, stolen:B-Purp, Authenticode-signing:I-Purp, certificates:I-Purp, .: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 PassCV group continues to be extremely effective in compromising both small and large game companies and surreptitiously using their code-signing certificates to infect an even larger swath of organizations .' [/INST] [The:O, PassCV:B-HackOrg, group:O, continues:O, to:O, be:O, extremely:O, effective:O, in:O, compromising:O, both:O, small:O, and:O, large:O, game:B-Org, companies:I-Org, and:O, surreptitiously:O, using:O, their:O, code-signing:O, certificates:O, to:O, infect:B-Purp, an:I-Purp, even:I-Purp, larger:I-Purp, swath:I-Purp, of:I-Purp, organizations:I-Purp, .: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 ScarCruft group keeps expanding its exfiltration targets to steal further information from infected hosts and continues to create tools for additional data exfiltration .' [/INST] [The:O, ScarCruft:B-HackOrg, group:O, keeps:O, expanding:O, its:O, exfiltration:O, targets:O, to:O, steal:O, further:O, information:O, from:O, infected:O, hosts:O, and:O, continues:O, to:O, create:O, tools:O, for:O, additional:B-Purp, data:I-Purp, exfiltration:I-Purp, .: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: 'Financially motivated APT groups which focus efforts on targeted attacks on the financial sector such as — Anunak , Corkow , Buhtrap — usually managed botnets using developed or modified banking Trojans .' [/INST] [Financially:B-Purp, motivated:I-Purp, APT:O, groups:O, which:O, focus:O, efforts:O, on:O, targeted:B-OffAct, attacks:I-OffAct, on:O, the:O, financial:B-Org, sector:I-Org, such:O, as:O, —:O, Anunak:O, ,:O, Corkow:B-Tool, ,:O, Buhtrap:O, —:O, usually:O, managed:O, botnets:O, using:O, developed:O, or:O, modified:O, banking:B-Idus, Trojans: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 are selective in their attacks and wait for about three months between incidents , which is approximately three times longer than other financially motivated APT groups , like MoneyTaker , Anunak ( Carbanak ) , Buhtrap or Cobalt .' [/INST] [They:O, are:O, selective:O, in:O, their:O, attacks:B-OffAct, and:O, wait:O, for:O, about:O, three:O, months:O, between:O, incidents:O, ,:O, which:O, is:O, approximately:O, three:O, times:O, longer:O, than:O, other:O, financially:B-Purp, motivated:I-Purp, APT:O, groups:O, ,:O, like:O, MoneyTaker:O, ,:O, Anunak:O, (:O, Carbanak:O, ):O, ,:O, Buhtrap:O, or:O, Cobalt: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 company specializes in finance and natural resources specific to that region .' [/INST] [The:O, company:O, specializes:O, in:O, finance:B-Idus, and:O, natural:B-Purp, resources:I-Purp, specific:O, to:O, that:O, region: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 the profile of the victims and the type of information targeted by the attackers , Symantec believes that Butterfly is financially motivated , stealing information it can potentially profit from .' [/INST] [Based:O, on:O, the:O, profile:O, of:O, the:O, victims:O, and:O, the:O, type:O, of:O, information:O, targeted:O, by:O, the:O, attackers:O, ,:O, Symantec:B-SecTeam, believes:O, that:O, Butterfly:O, is:O, financially:B-Purp, motivated:I-Purp, ,:O, stealing:B-Purp, information:I-Purp, it:O, can:O, potentially:O, profit:O, from: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: 'Fxmsp specialize in breaching highly secure protected networks to access private corporate and government information .' [/INST] [Fxmsp:B-HackOrg, specialize:O, in:O, breaching:O, highly:O, secure:O, protected:O, networks:O, to:O, access:O, private:O, corporate:O, and:O, government:B-Purp, information:I-Purp, .: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: 'But , thanks to the attackers known affection for decoy documents that pose as news summaries , we were able to date the campaign back to March 2018 .' [/INST] [But:O, ,:O, thanks:O, to:O, the:O, attackers:B-HackOrg, known:O, affection:O, for:O, decoy:B-Purp, documents:I-Purp, that:O, pose:O, as:O, news:O, summaries:O, ,:O, we:O, were:O, able:O, to:O, date:O, the:O, campaign:O, back:O, to:O, March:B-Time, 2018:I-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: 'Donot attacked government agencies , aiming for classified intelligence .' [/INST] [Donot:B-HackOrg, attacked:O, government:B-Idus, agencies:I-Idus, ,:O, aiming:O, for:O, classified:B-Purp, 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: 'Lazarus is a very active attack group involved in both cyber crime and espionage .' [/INST] [Lazarus:B-HackOrg, is:O, a:O, very:O, active:O, attack:O, group:O, involved:O, in:O, both:O, cyber:B-Purp, crime:I-Purp, and:O, espionage:B-Purp, .: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 make the fraudulent withdrawals , Lazarus first breaches targeted banks' networks and compromises the switch application servers handling ATM transactions .' [/INST] [To:O, make:O, the:O, fraudulent:B-Purp, withdrawals:I-Purp, ,:O, Lazarus:B-HackOrg, first:O, breaches:O, targeted:O, banks':B-Idus, networks:O, and:O, compromises:O, the:O, switch:O, application:O, servers:O, handling:O, ATM:O, transactions:O, .:O] </s> |