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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: 'Now GozNym is now targeting 13 banks and subsidiaries in Germany , Limor Kessem , Executive Security Advisor at IBM , said Tuesday .' [/INST] [Now:O, GozNym:B-Tool, is:O, now:O, targeting:O, 13:O, banks:B-Idus, and:O, subsidiaries:B-Org, in:O, Germany:B-Area, ,:O, Limor:O, Kessem:B-SecTeam, ,:O, Executive:B-SecTeam, Security:I-SecTeam, Advisor:O, at:O, IBM:B-SecTeam, ,:O, said:O, Tuesday:B-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: 'he Trojan , a hybrid of Nymaim and Gozi malware , initially formed in April and thrives on carrying out redirection attacks via DNS poisoning .' [/INST] [he:O, Trojan:O, ,:O, a:O, hybrid:O, of:O, Nymaim:B-Tool, and:O, Gozi:B-Tool, malware:I-Tool, ,:O, initially:O, formed:O, in:O, April:O, and:O, thrives:O, on:O, carrying:O, out:O, redirection:B-OffAct, attacks:I-OffAct, via:O, DNS:B-Way, poisoning:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , shortly after the Trojan 's discovery , researchers observed a massive GozNym campaign targeting 24 North American banks .' [/INST] [In:O, April:B-Time, ,:O, shortly:O, after:O, the:O, Trojan:O, 's:O, discovery:O, ,:O, researchers:O, observed:O, a:O, massive:O, GozNym:B-OffAct, campaign:I-OffAct, targeting:O, 24:O, North:B-Area, American:I-Area, banks: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 method , which technically redirects users through local DNS poisoning , requires a fair bit of work ; recreating and maintaining fake bank sites can be an arduous task , but Kessem claims the group behind GozNym – Nymaim – appear up to the task .' [/INST] [The:O, method:O, ,:O, which:O, technically:O, redirects:O, users:O, through:O, local:O, DNS:B-Way, poisoning:I-Way, ,:O, requires:O, a:O, fair:O, bit:O, of:O, work:O, ;:O, recreating:O, and:O, maintaining:O, fake:O, bank:B-Idus, sites:O, can:O, be:O, an:O, arduous:O, task:O, ,:O, but:O, Kessem:B-SecTeam, claims:O, the:O, group:O, behind:O, GozNym:B-Tool, –:O, Nymaim:O, –:O, appear:O, up:O, to:O, the:O, task: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 behind Dyre have used similar tactics in the past but have only deployed their attacks in English speaking countries and Spain .' [/INST] [Attackers:O, behind:O, Dyre:O, have:O, used:O, similar:O, tactics:O, in:O, the:O, past:O, but:O, have:O, only:O, deployed:O, their:O, attacks:B-OffAct, in:O, English:O, speaking:O, countries:O, and:O, Spain:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When we last heard from the Trojan , its operators were seen launching redirection attacks on four large , U.S. banks in June .' [/INST] [When:O, we:O, last:O, heard:O, from:O, the:O, Trojan:B-Tool, ,:O, its:O, operators:O, were:O, seen:O, launching:O, redirection:B-OffAct, attacks:I-OffAct, on:O, four:O, large:O, ,:O, U.S.:B-Area, banks:B-Idus, in:O, June:B-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: 'The fact that the cybercriminals behind GozNym have already adapted the Trojan for three different languages and in countries which have different banking systems is unique , according to Kessem .' [/INST] [The:O, fact:O, that:O, the:O, cybercriminals:O, behind:O, GozNym:B-Tool, have:O, already:O, adapted:O, the:O, Trojan:O, for:O, three:O, different:O, languages:O, and:O, in:O, countries:O, which:O, have:O, different:O, banking:O, systems:O, is:O, unique:O, ,:O, according:O, to:O, Kessem:B-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: 'By the end of April , GozNym had redirection instructions for 17 Polish banks in its repertoire , along with an extra 230 URLs designed to assist attackers in targeting community banks and email service providers in the Eastern European country .' [/INST] [By:O, the:O, end:B-Time, of:I-Time, April:I-Time, ,:O, GozNym:B-Tool, had:O, redirection:O, instructions:O, for:O, 17:O, Polish:O, banks:B-Idus, in:O, its:O, repertoire:O, ,:O, along:O, with:O, an:O, extra:O, 230:O, URLs:O, designed:O, to:O, assist:O, attackers:O, in:O, targeting:O, community:B-Idus, banks:I-Idus, and:O, email:B-Org, service:I-Org, providers:I-Org, in:O, the:O, Eastern:B-Area, European:B-Area, country: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: 'Seeking to tease out any possible links between Operation Aurora , VOHO , Operation DeputyDog , and Ephemeral Hydra , we began with Symantec 's Hidden Lynx report as our foundation .' [/INST] [Seeking:O, to:O, tease:O, out:O, any:O, possible:O, links:O, between:O, Operation:B-OffAct, Aurora:I-OffAct, ,:O, VOHO:B-OffAct, ,:O, Operation:B-OffAct, DeputyDog:I-OffAct, ,:O, and:O, Ephemeral:B-OffAct, Hydra:I-OffAct, ,:O, we:O, began:O, with:O, Symantec:B-SecTeam, 's:O, Hidden:O, Lynx:O, report:O, as:O, our:O, foundation: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 authors of that report identify three primary tools used in the campaigns attributed to Hidden Lynx : Trojan.Naid , Backdoor.Moudoor , and Backdoor.Hikit .' [/INST] [The:O, authors:O, of:O, that:O, report:O, identify:O, three:O, primary:O, tools:O, used:O, in:O, the:O, campaigns:B-OffAct, attributed:O, to:O, Hidden:O, Lynx:O, ::O, Trojan.Naid:B-Tool, ,:O, Backdoor.Moudoor:B-SamFile, ,:O, and:O, Backdoor.Hikit: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: 'We will detail how the C&C infrastructure and tools used by hacker group Hidden Lynx during its VOHO campaign ( 2012 ) , excellently documented by Symantec researchers last September , overlap with tools used in other high profile operations during the past few years .' [/INST] [We:O, will:O, detail:O, how:O, the:O, C&C:O, infrastructure:O, and:O, tools:O, used:O, by:O, hacker:O, group:O, Hidden:B-HackOrg, Lynx:I-HackOrg, during:O, its:O, VOHO:B-OffAct, campaign:I-OffAct, (:O, 2012:O, ):O, ,:O, excellently:O, documented:O, by:O, Symantec:B-SecTeam, researchers:O, last:O, September:O, ,:O, overlap:O, with:O, tools:O, used:O, in:O, other:O, high:O, profile:O, operations:O, during:O, the:O, past:O, few:O, years:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When the New York Times and Mandiant last year unmasked a large scale Chinese hacking operation , pinpointing its location down to the building , the report drew mainstream attention to what security professionals already well knew : sophisticated threat actors carry out persistent cyber operations over months and years .' [/INST] [When:O, the:O, New:B-Org, York:I-Org, Times:I-Org, and:O, Mandiant:B-SecTeam, last:B-Time, year:I-Time, unmasked:O, a:O, large:O, scale:O, Chinese:O, hacking:O, operation:O, ,:O, pinpointing:O, its:O, location:O, down:O, to:O, the:O, building:O, ,:O, the:O, report:O, drew:O, mainstream:O, attention:O, to:O, what:O, security:O, professionals:O, already:O, well:O, knew:O, ::O, sophisticated:O, threat:O, actors:O, carry:O, out:O, persistent:O, cyber:O, operations:O, over:O, months:O, and:O, years:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By the end of April , GozNym had redirection instructions for 17 Polish banks in its repertoire , along with an extra 230 URLs designed to assist attackers in targeting community banks and email service providers in the Eastern European country .' [/INST] [By:O, the:O, end:B-Time, of:I-Time, April:I-Time, ,:O, GozNym:B-Tool, had:O, redirection:O, instructions:O, for:O, 17:O, Polish:O, banks:B-Idus, in:O, its:O, repertoire:O, ,:O, along:O, with:O, an:O, extra:O, 230:O, URLs:O, designed:O, to:O, assist:O, attackers:O, in:O, targeting:O, community:B-Idus, banks:I-Idus, and:O, email:B-Org, service:I-Org, providers:I-Org, in:O, the:O, Eastern:B-Area, European:I-Area, country: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: 'Using Recorded Future , we quickly built a timeline of the reported use of those tools in major security incidents , finding many events prior to the early 2013 exposé on Hidden Lynx .' [/INST] [Using:O, Recorded:O, Future:O, ,:O, we:O, quickly:O, built:O, a:O, timeline:O, of:O, the:O, reported:O, use:O, of:O, those:O, tools:O, in:O, major:O, security:O, incidents:O, ,:O, finding:O, many:O, events:O, prior:O, to:O, the:O, early:O, 2013:B-Time, exposé:O, on:O, Hidden:B-HackOrg, Lynx:I-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 particular , FireEye during the fall of 2013 called out infrastructure overlap between Ephemeral Hydra and DeputyDog .' [/INST] [In:O, particular:O, ,:O, FireEye:B-SecTeam, during:O, the:O, fall:O, of:O, 2013:B-Time, called:O, out:O, infrastructure:O, overlap:O, between:O, Ephemeral:O, Hydra:O, and:O, DeputyDog: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: 'The above network shows relationships between three tools used by Hidden Lynx during its VOHO campaign : Trojan.Naid , Backdoor.Moudoor , and Backdoor.Hikit .' [/INST] [The:O, above:O, network:O, shows:O, relationships:O, between:O, three:O, tools:O, used:O, by:O, Hidden:O, Lynx:O, during:O, its:O, VOHO:B-OffAct, campaign:I-OffAct, ::O, Trojan.Naid:B-Tool, ,:O, Backdoor.Moudoor:B-SamFile, ,:O, and:O, Backdoor.Hikit: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: 'Symantec during 2012 linked the Elderwood Project to Operation Aurora ; Trojan.Naid and Backdoor.Moudoor were also used in Aurora , by the Elderwood Gang , and by Hidden Lynx .' [/INST] [Symantec:B-SecTeam, during:O, 2012:B-Time, linked:O, the:O, Elderwood:B-OffAct, Project:I-OffAct, to:O, Operation:B-OffAct, Aurora:I-OffAct, ;:O, Trojan.Naid:B-Tool, and:O, Backdoor.Moudoor:B-SamFile, were:O, also:O, used:O, in:O, Aurora:B-Tool, ,:O, by:O, the:O, Elderwood:B-HackOrg, Gang:I-HackOrg, ,:O, and:O, by:O, Hidden:B-HackOrg, Lynx:I-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to these , we also identified , Macfog , , a native Mac OS X implementation of Icefog that infected several hundred victims worldwide .' [/INST] [In:O, addition:O, to:O, these:O, ,:O, we:O, also:O, identified:O, ,:O, Macfog:B-Tool, ,:O, ,:O, a:O, native:B-Tool, Mac:I-Tool, OS:I-Tool, X:I-Tool, implementation:I-Tool, of:O, Icefog:B-Tool, that:O, infected:O, several:O, hundred:O, victims: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: 'Icefog , also known as the , Dagger Panda , by Crowdstrike 's naming convention , infected targets mainly in South Korea and Japan .' [/INST] [Icefog:B-HackOrg, ,:O, also:O, known:O, as:O, the:O, ,:O, Dagger:B-HackOrg, Panda:I-HackOrg, ,:O, by:O, Crowdstrike:B-SecTeam, 's:O, naming:O, convention:O, ,:O, infected:O, targets:O, mainly:O, in:O, South:B-Area, Korea:I-Area, and:O, Japan:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2013 , a public report reveals a group of actors conducted targeted attacks leverage a malware dubbed ICEFOG against mainly government organizations and defense industry of South Korea and Japan .' [/INST] [In:O, 2013:B-Time, ,:O, a:O, public:O, report:O, reveals:O, a:O, group:O, of:O, actors:O, conducted:O, targeted:B-OffAct, attacks:I-OffAct, leverage:O, a:O, malware:O, dubbed:O, ICEFOG:B-Tool, against:O, mainly:O, government:B-Org, organizations:I-Org, and:O, defense:B-Idus, industry:I-Idus, of:O, South:B-Area, Korea:I-Area, and:O, Japan:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Similar to our approach with Symantec 's report on Hidden Lynx , we used Recorded Future to organize the technical details about the DeputyDog attacks to reveal technical information described in the open source reporting across multiple campaigns .' [/INST] [Similar:O, to:O, our:O, approach:O, with:O, Symantec:B-SecTeam, 's:O, report:O, on:O, Hidden:O, Lynx:O, ,:O, we:O, used:O, Recorded:O, Future:O, to:O, organize:O, the:O, technical:O, details:O, about:O, the:O, DeputyDog:B-OffAct, attacks:I-OffAct, to:O, reveal:O, technical:O, information:O, described:O, in:O, the:O, open:O, source:O, reporting:O, across:O, multiple:O, campaigns:B-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: 'With Javafog , we are turning yet another page in the Icefog story by discovering another generation of backdoors used by the attackers .' [/INST] [With:O, Javafog:O, ,:O, we:O, are:O, turning:O, yet:O, another:O, page:O, in:O, the:O, Icefog:B-Tool, story:O, by:O, discovering:O, another:O, generation:O, of:O, backdoors:O, used: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: 'Since January 2013 , we've been on the lookout for a possible RedOctober comeback .' [/INST] [Since:O, January:B-Time, 2013:I-Time, ,:O, we've:O, been:O, on:O, the:O, lookout:O, for:O, a:O, possible:O, RedOctober:B-HackOrg, comeback: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 possible hit was triggered when we observed Mevade , an unusual piece of malware that appeared late in 2013 .' [/INST] [One:O, possible:O, hit:O, was:O, triggered:O, when:O, we:O, observed:O, Mevade:O, ,:O, an:O, unusual:O, piece:O, of:O, malware:O, that:O, appeared:O, late:O, in:O, 2013:B-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: 'In August 2014 , some of our users observed targeted attacks with a variation of CVE-2012-0158 and an unusual set of malware .' [/INST] [In:O, August:B-Time, 2014:I-Time, ,:O, some:O, of:O, our:O, users:O, observed:O, targeted:B-OffAct, attacks:I-OffAct, with:O, a:O, variation:O, of:O, CVE-2012-0158:B-Exp, and:O, an:O, unusual:O, set:O, of: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: 'It wasn't until August 2014 that we observed something which made us wonder if RedOctober is back for good .' [/INST] [It:O, wasn't:O, until:O, August:B-Time, 2014:I-Time, that:O, we:O, observed:O, something:O, which:O, made:O, us:O, wonder:O, if:O, RedOctober:O, is:O, back:O, for:O, good: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 Cloud Atlas implants utilize a rather unusual C&C mechanism .' [/INST] [The:O, Cloud:O, Atlas:O, implants:O, utilize:O, a:O, rather:O, unusual:O, C&C:B-Way, mechanism:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 named it RedOctober because we started this investigation in October 2012 , an unusually hot month .' [/INST] [We:O, named:O, it:O, RedOctober:O, because:O, we:O, started:O, this:O, investigation:O, in:O, October:B-Time, 2012:I-Time, ,:O, an:O, unusually:O, hot:O, month: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 upload data to the account , which is downloaded by the implant , decrypted and interpreted .' [/INST] [The:O, attackers:O, upload:O, data:O, to:O, the:O, account:O, ,:O, which:O, is:O, downloaded:O, by:O, the:O, implant:O, ,:O, decrypted:O, and:O, interpreted: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: 'Just like with RedOctober , the top target of Cloud Atlas is Russia , followed closely by Kazakhstan , according to data from the Kaspersky Security Network ( KSN ) .' [/INST] [Just:O, like:O, with:O, RedOctober:B-HackOrg, ,:O, the:O, top:O, target:O, of:O, Cloud:O, Atlas:O, is:O, Russia:B-Area, ,:O, followed:O, closely:O, by:O, Kazakhstan:O, ,:O, according:O, to:O, data:O, from:O, the:O, Kaspersky:B-SecTeam, Security:I-SecTeam, Network:I-SecTeam, (:O, KSN:B-SecTeam, ):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 May 2015 , Palo Alto Networks WildFire detected two e-mails carrying malicious documents from a genuine and compromised Israeli Gmail account , sent to an Israeli industrial organization .' [/INST] [In:O, May:B-Time, 2015:I-Time, ,:O, Palo:B-SecTeam, Alto:I-SecTeam, Networks:I-SecTeam, WildFire:I-SecTeam, detected:O, two:O, e-mails:B-Way, carrying:O, malicious:O, documents:O, from:O, a:O, genuine:O, and:O, compromised:O, Israeli:O, Gmail:O, account:O, ,:O, sent:O, to:O, an:O, Israeli:B-Area, industrial:B-Org, organization: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: 'One e-mail carried a Microsoft PowerPoint file named , thanks.pps , ( VirusTotal ) , the other a Microsoft Word document named , request.docx , .' [/INST] [One:O, e-mail:B-Way, carried:O, a:O, Microsoft:B-SamFile, PowerPoint:I-SamFile, file:I-SamFile, named:O, ,:O, thanks.pps:B-SamFile, ,:O, (:O, VirusTotal:O, ):O, ,:O, the:O, other:O, a:O, Microsoft:B-SamFile, Word:I-SamFile, document:I-SamFile, named:O, ,:O, request.docx:B-SamFile, ,: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: 'Around the same time , WildFire also captured an e-mail containing a Word document ( , hello.docx , ) with an identical hash as the earlier Word document , this time sent to a U.S. Government recipient .' [/INST] [Around:O, the:O, same:O, time:O, ,:O, WildFire:B-SecTeam, also:O, captured:O, an:O, e-mail:B-Way, containing:O, a:O, Word:B-SamFile, document:I-SamFile, (:O, ,:O, hello.docx:B-SamFile, ,:O, ):O, with:O, an:O, identical:O, hash:O, as:O, the:O, earlier:O, Word:B-SamFile, document:I-SamFile, ,:O, this:O, time:O, sent:O, to:O, a:O, U.S.:B-Area, Government:I-Area, recipient: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: 'Attacks using this tool were still active as of April 2016 .' [/INST] [Attacks:B-OffAct, using:O, this:O, tool:O, were:O, still:O, active:O, as:O, of:O, April:B-Time, 2016: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: 'Considering the language being used in the malicious code is Arabic , it seems that the attacker is familiar with Arabic language as well .' [/INST] [Considering:O, the:O, language:O, being:O, used:O, in:O, the:O, malicious:O, code:O, is:O, Arabic:O, ,:O, it:O, seems:O, that:O, the:O, attacker:O, is:O, familiar:O, with:O, Arabic:O, language:O, as:O, well: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 initially-observed , thanks.pps , example tricks the user into running the embedded file named ins8376.exe which loads a payload DLL named mpro324.dll .' [/INST] [The:O, initially-observed:O, ,:O, thanks.pps:B-SamFile, ,:O, example:O, tricks:O, the:O, user:O, into:O, running:O, the:O, embedded:O, file:O, named:O, ins8376.exe:B-SamFile, which:O, loads:O, a:O, payload:O, DLL:O, named:O, mpro324.dll:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this case , the file used the software name , Cyberlink , , and a description of , CLMediaLibrary Dynamic Link Library , and listing version 4.19.9.98 .' [/INST] [In:O, this:O, case:O, ,:O, the:O, file:O, used:O, the:O, software:O, name:O, ,:O, Cyberlink:B-SamFile, ,:O, ,:O, and:O, a:O, description:O, of:O, ,:O, CLMediaLibrary:O, Dynamic:O, Link:O, Library:O, ,:O, and:O, listing:O, version:O, 4.19.9.98: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: 'Unit 42 published a blog at the beginning of May titled , Prince of Persia , , in which we described the discovery of a decade-long campaign using a formerly unknown malware family , Infy , that targeted government and industry interests worldwide .' [/INST] [Unit:B-SecTeam, 42:I-SecTeam, published:O, a:O, blog:O, at:O, the:O, beginning:O, of:O, May:O, titled:O, ,:O, Prince:O, of:O, Persia:O, ,:O, ,:O, in:O, which:O, we:O, described:O, the:O, discovery:O, of:O, a:O, decade-long:O, campaign:B-OffAct, using:O, a:O, formerly:O, unknown:O, malware:O, family:O, ,:O, Infy:B-Tool, ,:O, that:O, targeted:O, government:B-Idus, and:O, industry:B-Idus, interests: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: 'We noted in our original blog the large amount of targeting of Iranian citizens in this campaign , we observed almost one-third of all victims to be Iranian .' [/INST] [We:O, noted:O, in:O, our:O, original:O, blog:O, the:O, large:O, amount:O, of:O, targeting:O, of:O, Iranian:B-Area, citizens:B-Org, in:O, this:O, campaign:B-OffAct, ,:O, we:O, observed:O, almost:O, one-third:O, of:O, all:O, victims:O, to:O, be:O, Iranian:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to the original , Infy , variant , we also see the newer , more sophisticated , interactive , and fuller-featured , Infy M , variant deployed against apparently-higher-value targets .' [/INST] [In:O, addition:O, to:O, the:O, original:O, ,:O, Infy:B-Tool, ,:O, variant:O, ,:O, we:O, also:O, see:O, the:O, newer:O, ,:O, more:O, sophisticated:O, ,:O, interactive:O, ,:O, and:O, fuller-featured:O, ,:O, Infy:B-Tool, M:I-Tool, ,:O, variant:O, deployed:O, against:O, apparently-higher-value:O, targets: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 documentation provides new insight into intrusion efforts conducted by at least four discrete Iranian threat actors , Rocket Kitten , Infy , Sima , and Operation Cleaver , including groups and tools that have not been previously disclosed .' [/INST] [This:O, documentation:O, provides:O, new:O, insight:O, into:O, intrusion:O, efforts:O, conducted:O, by:O, at:O, least:O, four:O, discrete:O, Iranian:B-Area, threat:I-Area, actors:I-Area, ,:O, Rocket:B-HackOrg, Kitten:I-HackOrg, ,:O, Infy:B-HackOrg, ,:O, Sima:B-HackOrg, ,:O, and:O, Operation:B-OffAct, Cleaver:I-OffAct, ,:O, including:O, groups:O, and:O, tools:O, that:O, have:O, not:O, been:O, previously:O, disclosed: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 early 2013 , we have observed activity from a unique threat actor group , which we began to investigate based on increased activities against human right activists in the beginning of 2015 .' [/INST] [Since:O, early:O, 2013:B-Time, ,:O, we:O, have:O, observed:O, activity:B-OffAct, from:O, a:O, unique:O, threat:O, actor:O, group:O, ,:O, which:O, we:O, began:O, to:O, investigate:O, based:O, on:O, increased:O, activities:B-OffAct, against:O, human:O, right:O, activists:B-Org, in:O, the:O, beginning:O, of:O, 2015:B-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: 'Over the course of three years of observation of campaigns targeting civil society and human rights organizations , from records of well over two hundred spearphishing and other intrusion attempts against individuals inside of Iran and in the diaspora , a narrative of persistent intrusion efforts emerges .' [/INST] [Over:O, the:O, course:O, of:O, three:O, years:O, of:O, observation:O, of:O, campaigns:B-OffAct, targeting:O, civil:B-Idus, society:I-Idus, and:O, human:B-Org, rights:I-Org, organizations:I-Org, ,:O, from:O, records:O, of:O, well:O, over:O, two:O, hundred:O, spearphishing:B-Way, and:O, other:O, intrusion:O, attempts:O, against:O, individuals:O, inside:O, of:O, Iran:B-Area, and:O, in:O, the:O, diaspora:B-Org, ,:O, a:O, narrative:O, of:O, persistent:O, intrusion:O, efforts:O, emerges: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: 'Thanks to information we have been able to collect during the course of our research , such as characteristics of the group 's malware and development cycle , our research strongly supports the claim that the Infy group is of Iranian origin and potentially connected to the Iranian state .' [/INST] [Thanks:O, to:O, information:O, we:O, have:O, been:O, able:O, to:O, collect:O, during:O, the:O, course:O, of:O, our:O, research:O, ,:O, such:O, as:O, characteristics:O, of:O, the:O, group:O, 's:O, malware:O, and:O, development:O, cycle:O, ,:O, our:O, research:O, strongly:O, supports:O, the:O, claim:O, that:O, the:O, Infy:B-HackOrg, group:I-OffAct, is:O, of:O, Iranian:B-Area, origin:I-Area, and:O, potentially:O, connected:O, to:O, the:O, Iranian:B-Area, state:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Amongst a backdrop of other incidents , Infy became one of the most frequently observed agents for attempted malware attacks against Iranian civil society beginning in late 2014 , growing in use up to the February 2016 parliamentary election in Iran .' [/INST] [Amongst:O, a:O, backdrop:O, of:O, other:O, incidents:O, ,:O, Infy:O, became:O, one:O, of:O, the:O, most:O, frequently:O, observed:O, agents:O, for:O, attempted:O, malware:B-OffAct, attacks:I-OffAct, against:O, Iranian:O, civil:B-Idus, society:I-Idus, beginning:O, in:O, late:B-Time, 2014:I-Time, ,:O, growing:O, in:O, use:O, up:O, to:O, the:O, February:B-Time, 2016:I-Time, parliamentary:O, election:B-Area, in:I-Area, Iran:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Until the publication of the Palo Alto report , the developers of the Infy appeared to be actively updating and maintaining the codebase , and new releases were distributed to existing , as well as new , targets quite regularly .' [/INST] [Until:O, the:O, publication:O, of:O, the:O, Palo:B-SecTeam, Alto:I-SecTeam, report:O, ,:O, the:O, developers:O, of:O, the:O, Infy:B-Tool, appeared:O, to:O, be:O, actively:O, updating:O, and:O, maintaining:O, the:O, codebase:O, ,:O, and:O, new:O, releases:O, were:O, distributed:O, to:O, existing:O, ,:O, as:O, well:O, as:O, new:O, ,:O, targets:O, quite:O, regularly: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: 'Other samples were found bearing a compilation time as early as June 2012 and version 00002 .' [/INST] [Other:O, samples:O, were:O, found:O, bearing:O, a:O, compilation:O, time:O, as:O, early:O, as:O, June:B-Time, 2012:I-Time, and:O, version:O, 00002: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 months following the elections , the accounts of Iranians that had been compromised by the actors were then used for spreading the malware .' [/INST] [Over:O, the:O, months:O, following:O, the:O, elections:O, ,:O, the:O, accounts:O, of:O, Iranians:B-Org, that:O, had:O, been:O, compromised:O, by:O, the:O, actors:O, were:O, then:O, used:O, for:O, spreading: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: 'When activities targeting of civil society subsided , the actors instead appeared to have focused on external targets , such a series of attempts to spearphish the Danish Ministry of Foreign Affairs .' [/INST] [When:O, activities:B-OffAct, targeting:O, of:O, civil:B-Idus, society:I-Idus, subsided:O, ,:O, the:O, actors:O, instead:O, appeared:O, to:O, have:O, focused:O, on:O, external:O, targets:O, ,:O, such:O, a:O, series:O, of:O, attempts:O, to:O, spearphish:B-Way, the:O, Danish:O, Ministry:O, of:O, Foreign:O, Affairs: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: 'Palo Alto Networks has noted and described the differences of two malware agents developed in parallel , with commonalities in behavior but differing functionalities ; families described as Infy and Infy M. Our primary observation was of the Infy ( non-M ) malware , which primarily functions as a keylogger for the collection of account credentials .' [/INST] [Palo:B-SecTeam, Alto:I-SecTeam, Networks:I-SecTeam, has:O, noted:O, and:O, described:O, the:O, differences:O, of:O, two:O, malware:O, agents:O, developed:O, in:O, parallel:O, ,:O, with:O, commonalities:O, in:O, behavior:O, but:O, differing:O, functionalities:O, ;:O, families:O, described:O, as:O, Infy:B-Tool, and:O, Infy:B-Tool, M.:I-Tool, Our:O, primary:O, observation:O, was:O, of:O, the:O, Infy:B-Tool, (:O, non-M:O, ):O, malware:B-Tool, ,:O, which:O, primarily:O, functions:O, as:O, a:O, keylogger:B-Tool, for:O, the:O, collection:B-Features, of:I-Features, account:I-Features, credentials:I-Features, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our observation of Infy 's campaigns , primarily through the lens of spearphishing attacks against Iranian civil society and media organizations , indicates a wandering focus on particular demographics on a strategic basis over time .' [/INST] [Our:O, observation:O, of:O, Infy:O, 's:O, campaigns:B-OffAct, ,:O, primarily:O, through:O, the:O, lens:O, of:O, spearphishing:B-OffAct, attacks:I-OffAct, against:O, Iranian:O, civil:B-Idus, society:I-Idus, and:O, media:B-Org, organizations:I-Org, ,:O, indicates:O, a:O, wandering:O, focus:O, on:O, particular:O, demographics:O, on:O, a:O, strategic:O, basis:O, over:O, time: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 Infy malware was seen targeting Iranians again in June 2015 , when it was shared with researchers after being sent to a broadcast journalist at BBC Persian with a generic introduction and a PowerPoint presentation attached titled , Nostalogy , ( sic ) .' [/INST] [The:O, Infy:B-Tool, malware:I-Tool, was:O, seen:O, targeting:O, Iranians:B-Org, again:O, in:O, June:B-Time, 2015:I-Time, ,:O, when:O, it:O, was:O, shared:O, with:O, researchers:O, after:O, being:O, sent:O, to:O, a:O, broadcast:B-Org, journalist:I-Org, at:O, BBC:O, Persian:O, with:O, a:O, generic:O, introduction:O, and:O, a:O, PowerPoint:B-Tool, presentation:O, attached:O, titled:O, ,:O, Nostalogy:O, ,:O, (:O, sic: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: 'Based on information collected in the course of this research , the targets and victims of Infy 's campaigns have continued to be strongly aligned with Iran 's , soft war , agenda , internal security policies , and regional adversaries of the hardline establishment of the Islamic Republic of Iran .' [/INST] [Based:O, on:O, information:O, collected:O, in:O, the:O, course:O, of:O, this:O, research:O, ,:O, the:O, targets:O, and:O, victims:O, of:O, Infy:O, 's:O, campaigns:B-OffAct, have:O, continued:O, to:O, be:O, strongly:O, aligned:O, with:O, Iran:O, 's:O, ,:O, soft:O, war:O, ,:O, agenda:O, ,:O, internal:O, security:O, policies:O, ,:O, and:O, regional:O, adversaries:O, of:O, the:O, hardline:O, establishment:O, of:O, the:O, Islamic:B-Area, Republic:I-Area, of:I-Area, Iran:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Until late December 2015 , in nearly every Infy message documented since our tracking began in May 2013 , no attempt included strong tailoring of the approach , often not even including an email body , instead relying on cryptic filenames and email subjects to attract interest .' [/INST] [Until:O, late:O, December:B-Time, 2015:I-Time, ,:O, in:O, nearly:O, every:O, Infy:B-Tool, message:I-Tool, documented:O, since:O, our:O, tracking:O, began:O, in:O, May:B-Time, 2013:I-Time, ,:O, no:O, attempt:O, included:O, strong:O, tailoring:O, of:O, the:O, approach:O, ,:O, often:O, not:O, even:O, including:O, an:O, email:B-Way, body:O, ,:O, instead:O, relying:O, on:O, cryptic:O, filenames:O, and:O, email:B-Way, subjects:O, to:O, attract:O, interest: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 narrowly-targeted spearphishing from Infy was sent from the compromised account of a political activist promoting participation inside of Iran , claiming to be a set of images of a British-Iranian dual national that has been held in Evin Prison for five years on espionage charges .' [/INST] [One:O, narrowly-targeted:O, spearphishing:B-Way, from:O, Infy:O, was:O, sent:O, from:O, the:O, compromised:O, account:O, of:O, a:O, political:B-Org, activist:I-Org, promoting:O, participation:O, inside:O, of:O, Iran:B-Area, ,:O, claiming:O, to:O, be:O, a:O, set:O, of:O, images:O, of:O, a:O, British-Iranian:B-Org, dual:O, national:O, that:O, has:O, been:O, held:O, in:O, Evin:O, Prison:O, for:O, five:O, years:O, on:O, espionage:O, charges: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 in the past , these messages have been sent accounts believed to be fake and accounts compromised by Infy , including Kurdish activists that had previously been compromised by the Flying Kitten actor group .' [/INST] [As:O, in:O, the:O, past:O, ,:O, these:O, messages:O, have:O, been:O, sent:O, accounts:O, believed:O, to:O, be:O, fake:O, and:O, accounts:O, compromised:O, by:O, Infy:O, ,:O, including:O, Kurdish:B-Org, activists:I-Org, that:O, had:O, previously:O, been:O, compromised:O, by:O, the:O, Flying:B-HackOrg, Kitten:I-HackOrg, actor:I-HackOrg, group:I-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 actors successfully compromised a host of an Saudi government institutions on January 17 , 2016 , and maintained access for at least two weeks .' [/INST] [The:O, actors:O, successfully:O, compromised:O, a:O, host:O, of:O, an:O, Saudi:B-Area, government:B-Org, institutions:I-Org, on:O, January:B-Time, 17:I-Time, ,:O, 2016:B-Time, ,:O, and:O, maintained:O, access:O, for:O, at:O, least:O, two:O, weeks: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 Infy group also appears to engage in espionage activities against foreign governments and businesses .' [/INST] [The:O, Infy:B-HackOrg, group:I-HackOrg, also:O, appears:O, to:O, engage:O, in:O, espionage:B-OffAct, activities:I-OffAct, against:O, foreign:O, governments:B-Idus, and: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: 'In order to initially compromise the designated targets , Infy typically distributed specifically-crafted malicious documents containing Infy through spearphishing attacks .' [/INST] [In:O, order:O, to:O, initially:O, compromise:O, the:O, designated:O, targets:O, ,:O, Infy:O, typically:O, distributed:O, specifically-crafted:O, malicious:B-Way, documents:I-Way, containing:I-Way, Infy:B-Tool, through:O, spearphishing: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: 'In order to initially compromise the designated targets , the attackers typically distributed specifically-crafted malicious documents containing Infy through spearphishing attacks .' [/INST] [In:O, order:O, to:O, initially:O, compromise:O, the:O, designated:O, targets:O, ,:O, the:O, attackers:O, typically:O, distributed:O, specifically-crafted:O, malicious:B-Way, documents:I-Way, containing:I-Way, Infy:B-Tool, through:O, spearphishing: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 May 2 , 2016 , Palo Alto Networks published the report , Prince of Persia , , which provided the first public and widely-reported indication of Infy 's activities in Iran , while other publications either refrained from making the association or were not openly available .' [/INST] [On:O, May:B-Time, 2:I-Time, ,:O, 2016:B-Time, ,:O, Palo:B-SecTeam, Alto:I-SecTeam, Networks:I-SecTeam, published:O, the:O, report:O, ,:O, Prince:O, of:O, Persia:O, ,:O, ,:O, which:O, provided:O, the:O, first:O, public:O, and:O, widely-reported:O, indication:O, of:O, Infy:B-HackOrg, 's:O, activities:B-OffAct, in:O, Iran:B-Area, ,:O, while:O, other:O, publications:O, either:O, refrained:O, from:O, making:O, the:O, association:O, or:O, were:O, not:O, openly:O, available: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: 'Prior to the distribution of new versions of the agent , the Infy developers appear to consistently conduct tests from local hosts , which indicates that the control and maintenance of the software occurs in the Khorasan Razavi province of Iran , potentially in the city of Mashhad .' [/INST] [Prior:O, to:O, the:O, distribution:O, of:O, new:O, versions:O, of:O, the:O, agent:O, ,:O, the:O, Infy:B-Tool, developers:O, appear:O, to:O, consistently:O, conduct:O, tests:O, from:O, local:O, hosts:O, ,:O, which:O, indicates:O, that:O, the:O, control:O, and:O, maintenance:O, of:O, the:O, software:O, occurs:O, in:O, the:O, Khorasan:O, Razavi:O, province:O, of:O, Iran:O, ,:O, potentially:O, in:O, the:O, city:O, of:O, Mashhad:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 May 2 , 2016 , Palo Alto published the report , Prince of Persia , , which provided the first public and widely-reported indication of Infy 's activities in Iran , while other publications either refrained from making the association or were not openly available .' [/INST] [On:O, May:B-Time, 2:I-Time, ,:O, 2016:B-Time, ,:O, Palo:B-SecTeam, Alto:I-SecTeam, published:O, the:O, report:O, ,:O, Prince:O, of:O, Persia:O, ,:O, ,:O, which:O, provided:O, the:O, first:O, public:O, and:O, widely-reported:O, indication:O, of:O, Infy:O, 's:O, activities:B-OffAct, in:O, Iran:B-Area, ,:O, while:O, other:O, publications:O, either:O, refrained:O, from:O, making:O, the:O, association:O, or:O, were:O, not:O, openly:O, available: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: 'Only one client , based in Iran , continued to communicate with the infrastructure .' [/INST] [Only:O, one:O, client:O, ,:O, based:O, in:O, Iran:B-Area, ,:O, continued:O, to:O, communicate:O, with:O, the: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: 'A researcher has attributed a recently publicized attack on Citrix' internal network to the Iranian-linked group known as IRIDIUM – and said that the data heist involved 6 terabytes of sensitive data .' [/INST] [A:O, researcher:O, has:O, attributed:O, a:O, recently:O, publicized:O, attack:B-OffAct, on:O, Citrix':B-Org, internal:O, network:O, to:O, the:O, Iranian-linked:B-Area, group:I-Area, known:O, as:O, IRIDIUM:O, –:O, and:O, said:O, that:O, the:O, data:O, heist:O, involved:O, 6:O, terabytes:O, of:O, sensitive: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: ', IRIDIUM has hit more than 200 government agencies , oil and gas companies and technology companies , including Citrix Systems Inc , , they said .' [/INST] [,:O, IRIDIUM:O, has:O, hit:O, more:O, than:O, 200:O, government:B-Org, agencies:I-Org, ,:O, oil:B-Idus, and:O, gas:B-Org, companies:I-Org, and:O, technology:B-Org, companies:I-Org, ,:O, including:O, Citrix:B-Org, Systems:I-Org, Inc:I-Org, ,:O, ,:O, they:O, said: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: 'Citrix told Threatpost that this is indeed the same password-spraying attack it announced itself last week – but it wouldn't confirm the other details in Resecurity 's post , including the attribution .' [/INST] [Citrix:B-Org, told:O, Threatpost:O, that:O, this:O, is:O, indeed:O, the:O, same:O, password-spraying:B-OffAct, attack:I-OffAct, it:O, announced:O, itself:O, last:O, week:O, –:O, but:O, it:O, wouldn't:O, confirm:O, the:O, other:O, details:O, in:O, Resecurity:B-SecTeam, 's:O, post:O, ,:O, including:O, the:O, attribution: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 wake of these events , a security firm Resecurity reached out to NBC news and claimed that they had reasons to believe that the attacks were carried out by Iranian-linked group known as IRIDIUM .' [/INST] [In:O, wake:O, of:O, these:O, events:O, ,:O, a:O, security:B-Org, firm:I-Org, Resecurity:B-SecTeam, reached:O, out:O, to:O, NBC:O, news:O, and:O, claimed:O, that:O, they:O, had:O, reasons:O, to:O, believe:O, that:O, the:O, attacks:B-OffAct, were:O, carried:O, out:O, by:O, Iranian-linked:B-Area, group:I-Area, known:O, as:O, IRIDIUM: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: 'Resecurity says that IRIDIUM , has hit more than 200 government agencies , oil and gas companies , and technology companies including Citrix .' [/INST] [Resecurity:B-SecTeam, says:O, that:O, IRIDIUM:O, ,:O, has:O, hit:O, more:O, than:O, 200:O, government:B-Org, agencies:I-Org, ,:O, oil:B-Idus, and:O, gas:B-Org, companies:I-Org, ,:O, and:O, technology:B-Org, companies:I-Org, including:O, Citrix:B-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: 'Resecurity claims that IRIDIUM breached Citrix 's network during December 2018 .' [/INST] [Resecurity:B-SecTeam, claims:O, that:O, IRIDIUM:O, breached:O, Citrix:B-Org, 's:O, network:O, during:O, December: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: 'Infy engaged in malware spearphishing against the same targets as Flying Kitten from the outset of its campaign ; Operation Cleaver has registered several resources related to development agencies that have been the subject of intrusion attempts by others since February 2014 .' [/INST] [Infy:B-Tool, engaged:O, in:O, malware:O, spearphishing:B-Way, against:O, the:O, same:O, targets:O, as:O, Flying:O, Kitten:O, from:O, the:O, outset:O, of:O, its:O, campaign:B-OffAct, ;:O, Operation:B-OffAct, Cleaver:I-OffAct, has:O, registered:O, several:O, resources:O, related:O, to:O, development:B-Org, agencies:I-Org, that:O, have:O, been:O, the:O, subject:O, of:O, intrusion:O, attempts:O, by:O, others:O, since:O, February:B-Time, 2014: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: 'The malicious samples we found are the early stage malware most often delivered by spear-phishing e-mails .' [/INST] [The:O, malicious:O, samples:O, we:O, found:O, are:O, the:O, early:O, stage:O, malware:O, most:O, often:O, delivered:O, by:O, spear-phishing:B-Way, e-mails:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 next stage library copies itself into the System32 directory of the Windows folder after the hardcoded file name — either KBDLV2.DLL or AUTO.DLL , depending on the malware sample .' [/INST] [This:O, next:O, stage:O, library:O, copies:O, itself:O, into:O, the:O, System32:O, directory:O, of:O, the:O, Windows:O, folder:O, after:O, the:O, hardcoded:O, file:O, name:O, —:O, either:O, KBDLV2.DLL:B-SamFile, or:O, AUTO.DLL:B-SamFile, ,:O, depending:O, on:O, the:O, malware:O, sample: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: 'At this stage , the malware gathers information about the infected computer .' [/INST] [At:O, this:O, stage:O, ,:O, the:O, malware:O, gathers:B-Features, information:I-Features, about:O, the:O, infected:O, computer: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: 'Hancom Office is widely used in South Korea .' [/INST] [Hancom:O, Office:O, is:O, widely:O, used:O, in:O, South:B-Area, Korea:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Perhaps it also points to the suspected North Korean origin of attack .' [/INST] [Perhaps:O, it:O, also:O, points:O, to:O, the:O, suspected:O, North:B-Area, Korean:I-Area, origin:O, of:O, attack:B-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: 'The attacker is from North Korea .' [/INST] [The:O, attacker:O, is:O, from:O, North:B-Area, Korea:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 of them lie in ranges of the Jilin Province Network and Liaoning Province Network , in China .' [/INST] [All:O, of:O, them:O, lie:B-Way, in:I-Way, ranges:I-Way, of:O, the:O, Jilin:B-Area, Province:I-Area, Network:I-Area, and:O, Liaoning:B-Area, Province:I-Area, Network:I-Area, ,:O, in:O, China:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Finally , this geo-location supports the likely theory that the attackers behind Kimsuky are based in North Korea .' [/INST] [Finally:O, ,:O, this:O, geo-location:O, supports:O, the:O, likely:O, theory:O, that:O, the:O, attackers:O, behind:O, Kimsuky:B-HackOrg, are:O, based:O, in:O, North:B-Area, Korea:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this blog , we look at the Winnti malware implant as used by two known activity groups BARIUM and LEAD .' [/INST] [In:O, this:O, blog:O, ,:O, we:O, look:O, at:O, the:O, Winnti:B-Tool, malware:I-Tool, implant:O, as:O, used:O, by:O, two:O, known:O, activity:O, groups:O, BARIUM:B-HackOrg, and:O, LEAD: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: 'According to the German press , the intruders used the Winnti family of malware as their main implant , giving them persistent access to the conglomerate 's network as early as February 2016 .' [/INST] [According:O, to:O, the:O, German:B-Area, press:O, ,:O, the:O, intruders:O, used:O, the:O, Winnti:B-Tool, family:I-Tool, of:I-Tool, malware:I-Tool, as:O, their:O, main:O, implant:O, ,:O, giving:O, them:O, persistent:O, access:O, to:O, the:O, conglomerate:O, 's:O, network:O, as:O, early:O, as:O, February:B-Time, 2016: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: 'In the case of this malware , the activity groups strongly associated with Winnti are BARIUM and LEAD .' [/INST] [In:O, the:O, case:O, of:O, this:O, malware:O, ,:O, the:O, activity:O, groups:O, strongly:O, associated:O, with:O, Winnti:B-Tool, are:O, BARIUM:B-Tool, and:O, LEAD: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: 'But even though they share the use of Winnti , the BARIUM and LEAD activity groups are involved in very different intrusion scenarios .' [/INST] [But:O, even:O, though:O, they:O, share:O, the:O, use:O, of:O, Winnti:B-Tool, ,:O, the:O, BARIUM:B-Tool, and:O, LEAD:B-Tool, activity:O, groups:O, are:O, involved:O, in:O, very:O, different:O, intrusion:O, scenarios: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 show how this breach and similar breaches can be mitigated , we look at how Windows Defender ATP flags activities associated with BARIUM , LEAD , and other known activity groups and how it provides extensive threat intelligence about these groups .' [/INST] [To:O, show:O, how:O, this:O, breach:O, and:O, similar:O, breaches:O, can:O, be:O, mitigated:O, ,:O, we:O, look:O, at:O, how:O, Windows:B-SecTeam, Defender:I-SecTeam, ATP:I-SecTeam, flags:O, activities:B-OffAct, associated:O, with:O, BARIUM:B-OffAct, ,:O, LEAD:B-OffAct, ,:O, and:O, other:O, known:O, activity:O, groups:O, and:O, how:O, it:O, provides:O, extensive:O, threat:O, intelligence:O, about:O, these:O, groups:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BARIUM begins its attacks by cultivating relationships with potential victims—particularly those working in Business Development or Human Resources—on various social media platforms .' [/INST] [BARIUM:B-OffAct, begins:O, its:O, attacks:B-OffAct, by:O, cultivating:O, relationships:O, with:O, potential:O, victims—particularly:O, those:O, working:O, in:O, Business:O, Development:O, or:O, Human:O, Resources—on:O, various:O, social:B-Idus, media:I-Idus, platforms: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: '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: 'Initial intrusion stages feature the Win32/Barlaiy implant—notable for its use of social network profiles , collaborative document editing sites , and blogs for C&C .' [/INST] [Initial:O, intrusion:O, stages:O, feature:O, the:O, Win32/Barlaiy:B-Tool, implant—notable:O, for:O, its:O, use:B-Features, of:I-Features, social:I-Features, network:I-Features, profiles:I-Features, ,:O, collaborative:B-Features, document:I-Features, editing:I-Features, sites:I-Features, ,:O, and:O, blogs:B-Features, for:I-Features, C&C:I-Features, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 BARIUM has established rapport , they spear-phish the victim using a variety of unsophisticated malware installation vectors , including malicious shortcut ( .lnk ) files with hidden payloads , compiled HTML help ( .chm ) files , or Microsoft Office documents containing macros or exploits .' [/INST] [Once:O, BARIUM:B-OffAct, has:O, established:O, rapport:O, ,:O, they:O, spear-phish:O, the:O, victim:O, using:O, a:O, variety:O, of:O, unsophisticated:B-Tool, malware:I-Tool, installation:O, vectors:O, ,:O, including:O, malicious:B-Tool, shortcut:I-Tool, (:O, .lnk:B-SamFile, ):O, files:O, with:O, hidden:O, payloads:O, ,:O, compiled:O, HTML:B-Tool, help:I-Tool, (:I-Tool, .chm:I-Tool, ):I-Tool, files:I-Tool, ,:O, or:O, Microsoft:B-Tool, Office:I-Tool, documents:I-Tool, containing:O, macros:O, or:O, exploits: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: 'Instead , the group often simply emails a Winnti installer to potential victims , relying on basic social engineering tactics to convince recipients to run the attached malware .' [/INST] [Instead:O, ,:O, the:O, group:O, often:O, simply:O, emails:B-Way, a:O, Winnti:B-Tool, installer:I-Tool, to:O, potential:O, victims:O, ,:O, relying:O, on:O, basic:O, social:B-Way, engineering:I-Way, tactics:I-Way, to:O, convince:O, recipients:O, to:O, run:O, the:O, attached: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: 'Microsoft Analytics shows that Winnti has been used in intrusions carried out throughout Asia , Europe , Oceania , the Middle East , and the United States in the last six months ( Figure 1 ) .' [/INST] [Microsoft:B-SecTeam, Analytics:I-SecTeam, shows:O, that:O, Winnti:B-Tool, has:O, been:O, used:O, in:O, intrusions:O, carried:O, out:O, throughout:O, Asia:B-Area, ,:O, Europe:B-Area, ,:O, Oceania:B-Area, ,:O, the:O, Middle:B-Area, East:I-Area, ,:O, and:O, the:O, United:B-Area, States:I-Area, in:O, the:O, last:O, six:O, months:O, (:O, Figure:O, 1: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: 'Instead , Lead often simply emails a Winnti installer to potential victims , relying on basic social engineering tactics to convince recipients to run the attached malware .' [/INST] [Instead:O, ,:O, Lead:O, often:O, simply:O, emails:B-Way, a:O, Winnti:B-Tool, installer:I-Tool, to:O, potential:O, victims:O, ,:O, relying:O, on:O, basic:O, social:B-Way, engineering:I-Way, tactics:I-Way, to:O, convince:O, recipients:O, to:O, run:O, the:O, attached: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: 'In some other cases , LEAD gains access to a target by brute-forcing remote access login credentials , performing SQL injection , or exploiting unpatched web servers , and then they copy the Winnti installer directly to compromised machines .' [/INST] [In:O, some:O, other:O, cases:O, ,:O, LEAD:O, gains:O, access:O, to:O, a:O, target:O, by:O, brute-forcing:O, remote:O, access:O, login:O, credentials:O, ,:O, performing:O, SQL:O, injection:O, ,:O, or:O, exploiting:O, unpatched:O, web:O, servers:O, ,:O, and:O, then:O, they:O, copy:O, the:O, Winnti:B-Tool, installer:I-Tool, directly:O, to:O, compromised:O, machines: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 was the case in two known intrusions in 2015 , where attackers named the implant DLL , ASPNET_FILTER.DLL , to disguise it as the DLL for the ASP.NET ISAPI Filter .' [/INST] [This:O, was:O, the:O, case:O, in:O, two:O, known:O, intrusions:O, in:O, 2015:B-Time, ,:O, where:O, attackers:O, named:O, the:O, implant:O, DLL:O, ,:O, ASPNET_FILTER.DLL:B-SamFile, ,:O, to:O, disguise:O, it:O, as:O, the:O, DLL:O, for:O, the:O, ASP.NET:B-SamFile, ISAPI:I-SamFile, Filter:I-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Windows Defender ATP helps network security professionals deal with intrusions from activity groups like LEAD and BARIUM in several ways .' [/INST] [Windows:B-SecTeam, Defender:I-SecTeam, ATP:I-SecTeam, helps:O, network:O, security:O, professionals:O, deal:O, with:O, intrusions:O, from:O, activity:O, groups:O, like:O, LEAD:B-Tool, and:O, BARIUM:B-Tool, in:O, several:O, ways: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 examples were developed using a Winnti installer that was used in attacks in December 2016 .' [/INST] [The:O, following:O, examples:O, were:O, developed:O, using:O, a:O, Winnti:B-Tool, installer:I-Tool, that:O, was:O, used:O, in:O, attacks:B-OffAct, in:O, December:B-Time, 2016: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: 'The Windows 10 Creators Update will bring several enhancements to Windows Defender ATP that will provide SOC personnel with options for immediate mitigation of a detected threat .' [/INST] [The:O, Windows:B-Tool, 10:I-Tool, Creators:I-Tool, Update:I-Tool, will:O, bring:B-Features, several:I-Features, enhancements:I-Features, to:O, Windows:B-SecTeam, Defender:I-SecTeam, ATP:I-SecTeam, that:O, will:O, provide:O, SOC:B-Org, personnel:I-Org, with:O, options:O, for:O, immediate:O, mitigation:O, of:O, a:O, detected:O, threat: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: 'LEAD and BARIUM are not known for large-scale spear-phishing , so it is unlikely that SOC personnel would have to deal with multiple machines having been compromised by these groups at the same time .' [/INST] [LEAD:O, and:O, BARIUM:O, are:O, not:O, known:O, for:O, large-scale:O, spear-phishing:B-Way, ,:O, so:O, it:O, is:O, unlikely:O, that:O, SOC:B-Org, personnel:I-Org, would:O, have:O, to:O, deal:O, with:O, multiple:O, machines:O, having:O, been:O, compromised:O, by:O, these:O, groups:O, at:O, the:O, same:O, time: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 , finally , with the upcoming Creators Update , Windows Defender ATP will provide additional capabilities for detecting threats such as Winnti , as well as centralized response options , such as machine isolation and file blocking , that will enable fast containment of known attack jump off points .' [/INST] [And:O, ,:O, finally:O, ,:O, with:O, the:O, upcoming:O, Creators:B-Tool, Update:I-Tool, ,:O, Windows:B-SecTeam, Defender:I-SecTeam, ATP:I-SecTeam, will:O, provide:O, additional:O, capabilities:O, for:O, detecting:O, threats:O, such:O, as:O, Winnti:O, ,:O, as:O, well:O, as:O, centralized:O, response:O, options:O, ,:O, such:O, as:O, machine:O, isolation:O, and:O, file:O, blocking:O, ,:O, that:O, will:O, enable:O, fast:O, containment:O, of:O, known:O, attack:B-OffAct, jump:O, off:O, points: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 police suspected Lurk of stealing nearly three billion rubles , using malicious software to systematically withdraw large sums of money from the accounts of commercial organizations , including banks .' [/INST] [The:O, police:O, suspected:O, Lurk:B-Tool, of:O, stealing:O, nearly:O, three:O, billion:O, rubles:O, ,:O, using:O, malicious:O, software:O, to:O, systematically:O, withdraw:O, large:O, sums:O, of:O, money:O, from:O, the:O, accounts:O, of:O, commercial:B-Org, organizations:I-Org, ,:O, including:O, banks: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: 'When we first encountered Lurk , in 2011 , it was a nameless Trojan .' [/INST] [When:O, we:O, first:O, encountered:O, Lurk:B-Tool, ,:O, in:O, 2011:B-Time, ,:O, it:O, was:O, a:O, nameless:O, Trojan:O, .:O] </s> |
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