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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: 'When CTU researchers first published information about LYCEUM to Secureworks Threat Intelligence clients , no public documentation on the group existed .' [/INST] [When:O, CTU:B-SecTeam, researchers:O, first:O, published:O, information:O, about:O, LYCEUM:B-HackOrg, to:O, Secureworks:O, Threat:O, Intelligence:O, clients:O, ,:O, no:O, public:O, documentation:O, on:O, the:O, group:O, existed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 compromised accounts , LYCEUM send spearphishing emails with malicious Excel attachments to deliver the DanBot malware , which subsequently deploys post-intrusion tools .' [/INST] [Using:O, compromised:O, accounts:O, ,:O, LYCEUM:B-HackOrg, send:O, spearphishing:B-Way, emails:I-Way, with:O, malicious:O, Excel:O, attachments:O, to:O, deliver:B-Way, the:O, DanBot:O, malware:O, ,:O, which:O, subsequently:O, deploys:O, post-intrusion:B-Tool, tools: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: 'The developer consistently used Accept-Enconding” (note the extra ‘n’) in all DanBot samples analyzed by CTU researchers .' [/INST] [The:O, developer:O, consistently:O, used:O, Accept-Enconding”:O, (note:O, the:O, extra:O, ‘n’):O, in:O, all:O, DanBot:B-SamFile, samples:O, analyzed:O, by:O, CTU:B-SecTeam, researchers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Get-LAPSP.ps1 is a PowerShell script that gathers account information from Active Directory via LDAP .' [/INST] [Get-LAPSP.ps1:B-Tool, is:O, a:O, PowerShell:B-Tool, script:I-Tool, that:O, gathers:O, account:O, information:O, from:O, Active:O, Directory:O, via:O, LDAP:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'LYCEUM deployed this tool via DanBot shortly after gaining initial access to a compromised environment .' [/INST] [LYCEUM:B-HackOrg, deployed:O, this:O, tool:O, via:O, DanBot:B-Tool, shortly:O, after:O, gaining:O, initial:O, access:O, to:O, a:O, compromised:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'LYCEUM delivers weaponized maldocs via spearphishing from the compromised accounts to the targeted executives , human resources (HR) staff , and IT personnel .' [/INST] [LYCEUM:B-HackOrg, delivers:O, weaponized:O, maldocs:B-Tool, via:O, spearphishing:B-Way, from:O, the:O, compromised:O, accounts:O, to:O, the:O, targeted:O, executives:O, ,:O, human:O, resources:O, (HR):O, staff:O, ,:O, and:O, IT:O, personnel:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 focus on training aligns with LYCEUM’s targeting of executives , HR staff , and IT personnel .' [/INST] [This:O, focus:O, on:O, training:O, aligns:O, with:O, LYCEUM’s:B-HackOrg, targeting:O, of:O, executives:B-Org, ,:O, HR:B-Org, staff:I-Org, ,:O, and:O, IT:B-Org, personnel: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: 'Despite the initial perception that the maldoc sample was intended for ICS or OT staff , LYCEUM has not demonstrated an interest in those environments .' [/INST] [Despite:O, the:O, initial:O, perception:O, that:O, the:O, maldoc:B-Tool, sample:O, was:O, intended:O, for:O, ICS:B-Org, or:O, OT:B-Org, staff:I-Org, ,:O, LYCEUM:B-HackOrg, has:O, not:O, demonstrated:O, an:O, interest:O, in:O, those:O, environments:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , CTU researchers cannot dismiss the possibility that the LYCEUM could seek access to OT environments after establishing robust access to the IT environment .' [/INST] [However:O, ,:O, CTU:B-SecTeam, researchers:O, cannot:O, dismiss:O, the:O, possibility:O, that:O, the:O, LYCEUM:B-HackOrg, could:O, seek:O, access:O, to:O, OT:O, environments:O, after:O, establishing:O, robust:O, access:O, to:O, the:O, IT:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'LYCEUM is an emerging threat to energy organizations in the Middle East , but organizations should not assume that future targeting will be limited to this sector .' [/INST] [LYCEUM:B-HackOrg, is:O, an:O, emerging:O, threat:O, to:O, energy:B-Idus, organizations:I-Idus, in:O, the:O, Middle:B-Area, East:I-Area, ,:O, but:O, organizations:O, should:O, not:O, assume:O, that:O, future:O, targeting:O, will:O, be:O, limited:O, to:O, this:O, sector:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Aside from deploying novel malware , LYCEUM’s activity demonstrates capabilities CTU researchers have observed from other threat groups and reinforces the value of a few key controls .' [/INST] [Aside:O, from:O, deploying:O, novel:O, malware:O, ,:O, LYCEUM’s:B-HackOrg, activity:O, demonstrates:O, capabilities:O, CTU:B-SecTeam, researchers:O, have:O, observed:O, from:O, other:O, threat:O, groups:O, and:O, reinforces:O, the:O, value:O, of:O, a:O, few:O, key:O, controls:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Password spraying , DNS tunneling , social engineering , and abuse of security testing frameworks are common tactics , particularly from threat groups operating in the Middle East .' [/INST] [Password:B-Way, spraying:I-Way, ,:O, DNS:B-Way, tunneling:I-Way, ,:O, social:B-Way, engineering:I-Way, ,:O, and:O, abuse:B-Way, of:O, security:O, testing:O, frameworks:O, are:O, common:O, tactics:O, ,:O, particularly:O, from:O, threat:O, groups:B-HackOrg, operating:O, in:O, the:O, Middle:B-Area, East: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: 'The group behind these attacks has stolen gigabytes of confidential documents , mostly from military organizations .' [/INST] [The:O, group:B-HackOrg, behind:O, these:O, attacks:O, has:O, stolen:B-Purp, gigabytes:I-Purp, of:O, confidential:O, documents:O, ,:O, mostly:O, from:O, military:B-Idus, organizations: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: 'Machete is still very active at the time of this publication , regularly introducing changes to its malware , infrastructure and spearphishing campaigns .' [/INST] [Machete:B-HackOrg, is:O, still:O, very:O, active:O, at:O, the:O, time:O, of:O, this:O, publication:O, ,:O, regularly:O, introducing:O, changes:O, to:O, its:O, malware:B-Tool, ,:O, infrastructure:O, and:O, spearphishing:B-Way, campaigns:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ESET has been tracking a new version of Machete (the group’s Python-based toolset) that was first seen in April 2018 .' [/INST] [ESET:B-SecTeam, has:O, been:O, tracking:O, a:O, new:O, version:O, of:O, Machete:B-HackOrg, (the:O, group’s:O, Python-based:O, toolset):O, that:O, was:O, first:O, seen:O, in:O, April: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: 'This extends to other countries in Latin America , with the Ecuadorean military being another organization highly targeted with the Machete malware .' [/INST] [This:O, extends:O, to:O, other:O, countries:O, in:O, Latin:B-Area, America:I-Area, ,:O, with:O, the:O, Ecuadorean:B-Idus, military:I-Idus, being:O, another:O, organization:O, highly:O, targeted:O, with:O, the:O, Machete:B-HackOrg, 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: 'Their long run of attacks , focused on Latin American countries , has allowed them to collect intelligence and refine their tactics over the years .' [/INST] [Their:B-HackOrg, long:O, run:O, of:O, attacks:O, ,:O, focused:O, on:O, Latin:B-Area, American:I-Area, countries:O, ,:O, has:O, allowed:O, them:O, to:O, collect:O, intelligence:O, and:O, refine:O, their:O, tactics:O, over:O, the: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: 'Machete is interested in files that describe navigation routes and positioning using military grids .' [/INST] [Machete:B-HackOrg, is:O, interested:O, in:O, files:O, that:O, describe:B-Idus, navigation:I-Idus, routes:I-Idus, and:O, positioning:O, using:O, military:O, grids:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Machete group sends very specific emails directly to its victims , and these change from target to target .' [/INST] [The:O, Machete:B-HackOrg, group:O, sends:B-Way, very:O, specific:O, emails:O, directly:O, to:O, its:O, victims:O, ,:O, and:O, these:O, change:O, from:O, target:O, to:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Machete group is very active and has introduced several changes to its malware since a new version was released in April 2018 .' [/INST] [The:O, Machete:B-HackOrg, group:O, is:O, very:O, active:O, and:O, has:O, introduced:O, several:O, changes:O, to:O, its:O, malware:O, since:O, a:O, new:O, version:O, was:O, released:O, in:O, April: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: 'Previous versions were described by Kaspersky in 2014 and Cylance in 2017 .' [/INST] [Previous:B-SamFile, versions:I-SamFile, were:O, described:O, by:O, Kaspersky:B-SecTeam, in:O, 2014:B-Time, and:O, Cylance:B-HackOrg, in:O, 2017: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: 'Since August 2018 , the Machete components have been delivered with an extra layer of obfuscation .' [/INST] [Since:O, August:B-Time, 2018:I-Time, ,:O, the:O, Machete:B-HackOrg, components:O, have:O, been:O, delivered:O, with:O, an:O, extra:O, layer:O, of:O, obfuscation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 GoogleUpdate.exe component is responsible for communicating with the remote C&C server .' [/INST] [The:O, GoogleUpdate.exe:B-SamFile, component:O, is:O, responsible:O, for:O, communicating:B-Features, with:O, the:O, remote:O, C&C: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: 'ESET has been tracking this threat for months and has observed several changes , sometimes within weeks .' [/INST] [ESET:B-SecTeam, has:O, been:O, tracking:O, this:O, threat:O, for:O, months:O, and:O, has:O, observed:O, several:O, changes:O, ,:O, sometimes:O, within: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: 'This way , the malware can have its configuration , malicious binaries and file listings updated , but can also download and execute other binaries .' [/INST] [This:O, way:O, ,:O, the:O, malware:B-SamFile, can:O, have:O, its:O, configuration:B-Features, ,:O, malicious:O, binaries:O, and:O, file:O, listings:O, updated:O, ,:O, but:O, can:O, also:O, download:B-Features, and:O, execute:B-Features, other:O, binaries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 presence of code to exfiltrate data to removable drives when there is physical access to a compromised computer may indicate that Machete operators could have a presence in one of the targeted countries , although we cannot be certain .' [/INST] [The:O, presence:O, of:O, code:O, to:O, exfiltrate:O, data:O, to:O, removable:O, drives:O, when:O, there:O, is:O, physical:O, access:O, to:O, a:O, compromised:O, computer:O, may:O, indicate:O, that:O, Machete:B-HackOrg, operators:O, could:O, have:O, a:O, presence:O, in:O, one:O, of:O, the:O, targeted:B-Area, countries:I-Area, ,:O, although:O, we:B-SecTeam, cannot:O, be:O, certain:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 group is very active and continues to develop new features for its malware , and implement infrastructure changes in 2019 .' [/INST] [This:O, group:B-HackOrg, is:O, very:O, active:O, and:O, continues:O, to:O, develop:O, new:O, features:O, for:O, its:O, malware:O, ,:O, and:O, implement:O, infrastructure:O, changes:O, in:O, 2019: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: 'Machete's long run of attacks , focused in Latin American countries , has allowed them to collect intelligence and refine their tactics over the years .' [/INST] [Machete's:B-HackOrg, long:O, run:O, of:O, attacks:O, ,:O, focused:O, in:O, Latin:B-Area, American:I-Area, countries:O, ,:O, has:O, allowed:O, them:O, to:O, collect:O, intelligence:O, and:O, refine:O, their:O, tactics:O, over:O, the: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: 'ESET researchers have detected an ongoing , highly targeted campaign , with a majority of the targets being military organizations .' [/INST] [ESET:B-SecTeam, researchers:O, have:O, detected:O, an:O, ongoing:O, ,:O, highly:O, targeted:O, campaign:B-OffAct, ,:O, with:O, a:O, majority:O, of:O, the:O, targets:O, being:O, military:B-Idus, organizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group behind Machete uses effective spearphishing techniques .' [/INST] [The:O, group:O, behind:O, Machete:B-HackOrg, uses:O, effective:O, spearphishing:B-Way, techniques:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First described by Kaspersky in 2014 [1] and later , by Cylance in 2017 [2] , Machete is a piece of malware found to be targeting high profile individuals and organizations in Latin American countries .' [/INST] [First:O, described:O, by:O, Kaspersky:B-SecTeam, in:O, 2014:O, [1]:O, and:O, later:O, ,:O, by:O, Cylance:B-SecTeam, in:O, 2017:O, [2]:O, ,:O, Machete:B-HackOrg, is:O, a:O, piece:O, of:O, malware:O, found:O, to:O, be:O, targeting:O, high:O, profile:O, individuals:O, and:O, organizations:O, in:O, Latin:B-Area, American:I-Area, countries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In 2018 Machete reappeared with new code and new features .' [/INST] [In:O, 2018:B-Time, Machete:B-HackOrg, reappeared:O, with:O, new:O, code:O, and:O, new:O, features:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 June 2019 , ESET has seen over 50 victims being actively spied upon by Machete , with more than half of them being computers belonging to the Venezuelan military forces .' [/INST] [As:O, of:O, June:B-Time, 2019:I-Time, ,:O, ESET:B-SecTeam, has:O, seen:O, over:O, 50:O, victims:O, being:O, actively:O, spied:O, upon:O, by:O, Machete:B-HackOrg, ,:O, with:O, more:O, than:O, half:O, of:O, them:O, being:O, computers:O, belonging:O, to:O, the:O, Venezuelan:O, military:B-Idus, forces:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Machete has Latin American targets and has been developed by a Spanish-speaking group , presumably from a LATAM country .' [/INST] [Machete:B-HackOrg, has:O, Latin:B-Area, American:I-Area, targets:O, and:O, has:O, been:O, developed:O, by:O, a:O, Spanish-speaking:B-Area, group:B-HackOrg, ,:O, presumably:O, from:O, a:O, LATAM: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: 'Machete was active and constantly working on very effective spearphishing campaigns .' [/INST] [Machete:B-HackOrg, was:O, active:O, and:O, constantly:O, working:O, on:O, very:O, effective:O, spearphishing:B-Way, 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: 'In some cases , Machete trick new victims by sending real documents that had been stolen on the very same day .' [/INST] [In:O, some:O, cases:O, ,:O, Machete:B-HackOrg, trick:O, new:O, victims:O, by:O, sending:B-Way, real:I-Way, documents:I-Way, that:O, had:O, been:O, stolen:O, on:O, the:O, very:O, same:O, day:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Machete relies on spearphishing to compromise its targets .' [/INST] [Machete:B-HackOrg, relies:O, on:O, spearphishing:B-Way, to:O, compromise:O, its: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: 'They seem to have specialized knowledge about military operations , as they are focused on stealing specific files such as those that describe navigation routes .' [/INST] [They:B-HackOrg, seem:O, to:O, have:O, specialized:O, knowledge:O, about:O, military:B-Idus, operations:O, ,:O, as:O, they:O, are:O, focused:O, on:O, stealing:B-Purp, specific:I-Purp, files:I-Purp, such:O, as:O, those:O, that:O, describe:B-Purp, navigation:I-Purp, routes: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: 'Attackers take advantage of that , along with their knowledge of military jargon and etiquette , to craft very convincing phishing emails .' [/INST] [Attackers:B-HackOrg, take:O, advantage:O, of:O, that:O, ,:O, along:O, with:O, their:O, knowledge:O, of:O, military:B-Idus, jargon:O, and:O, etiquette:O, ,:O, to:O, craft:O, very:O, convincing:O, phishing:B-Way, emails: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: 'Operators behind Machete apparently already have information about individuals or organizations of interest to them in Latin America , how to reach them , and how best to trick them into getting compromised .' [/INST] [Operators:O, behind:O, Machete:B-HackOrg, apparently:O, already:O, have:O, information:O, about:O, individuals:O, or:O, organizations:O, of:O, interest:O, to:O, them:O, in:O, Latin:B-Area, America:I-Area, ,:O, how:O, to:O, reach:O, them:O, ,:O, and:O, how:O, best:O, to:O, trick:O, them:O, into:O, getting:O, compromised:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since the end of March up until the end of May 2019 , ESET observed that there were more than 50 victimized computers actively communicating with the C&C server .' [/INST] [Since:O, the:O, end:O, of:O, March:O, up:O, until:O, the:O, end:O, of:O, May:B-Time, 2019:I-Time, ,:O, ESET:B-SecTeam, observed:O, that:O, there:O, were:O, more:O, than:O, 50:O, victimized:B-OffAct, computers:B-OffAct, actively:O, communicating:O, with:O, the:O, C&C: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: 'This extends to other countries in Latin America , with the Ecuadorean military being another organization highly targeted by Machete .' [/INST] [This:O, extends:O, to:O, other:O, countries:O, in:O, Latin:B-Area, America:I-Area, ,:O, with:O, the:O, Ecuadorean:O, military:B-Idus, being:O, another:O, organization:O, highly:O, targeted:O, by:O, Machete:B-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: 'Machete is malware that has been developed and is actively maintained by a Spanish-speaking group .' [/INST] [Machete:B-HackOrg, is:O, malware:O, that:O, has:O, been:O, developed:O, and:O, is:O, actively:O, maintained:O, by:O, a:O, Spanish-speaking:B-Area, group:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 it was active in 2012 , it has been carrying out attacks against sensitive targets in China and is one of the most active APT attack organizations targeting mainland China in recent years .' [/INST] [Since:O, it:O, was:O, active:O, in:O, 2012:B-Time, ,:O, it:O, has:O, been:O, carrying:O, out:O, attacks:O, against:O, sensitive:O, targets:O, in:O, China:B-Area, and:O, is:O, one:O, of:O, the:O, most:O, active:O, APT:O, attack:O, organizations:B-Org, targeting:O, mainland:O, China:B-Area, in:O, recent: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 introducing small changes to their code and infrastructure , the group has bypassed several security products .' [/INST] [By:O, introducing:B-Way, small:I-Way, changes:I-Way, to:O, their:O, code:O, and:O, infrastructure:O, ,:O, the:O, group:B-HackOrg, has:O, bypassed:O, several:O, security:O, products:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'OceanLotus will release malicious sub-packages in the background , receive the remote control command , steal the privacy information of users such as SMS messages , contacts , call records , geographic locations , and browser records .' [/INST] [OceanLotus:B-HackOrg, will:O, release:B-Way, malicious:I-Way, sub-packages:O, in:O, the:O, background:O, ,:O, receive:B-Way, the:O, remote:O, control:O, command:O, ,:O, steal:B-Way, the:O, privacy:O, information:O, of:O, users:O, such:O, as:O, SMS:O, messages:O, ,:O, contacts:O, ,:O, call:O, records:O, ,:O, geographic:O, locations:O, ,:O, and:O, browser:O, records:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 also download apks secretly and record audios and videos , then upload users’ privacy information to server , causing users’ privacy leakage .' [/INST] [They:B-SamFile, also:O, download:B-Features, apks:O, secretly:B-Features, and:O, record:B-Features, audios:I-Features, and:O, videos:O, ,:O, then:O, upload:B-Features, users’:O, privacy:O, information:O, to:O, server:O, ,:O, causing:O, users’:O, privacy:O, leakage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 can be seen that after the code leakage , the CEO of the HackingTeam organization said that the leaked code is only a small part is based on the facts , which also reflects that the network arms merchants have lowered the threshold of APT attacks to a certain extent , making more uncertainties of cyber attacks .' [/INST] [It:O, can:O, be:O, seen:O, that:O, after:O, the:O, code:O, leakage:O, ,:O, the:O, CEO:O, of:O, the:O, HackingTeam:B-HackOrg, organization:O, said:O, that:O, the:O, leaked:B-Way, code:I-Way, is:O, only:O, a:O, small:O, part:O, is:O, based:O, on:O, the:O, facts:O, ,:O, which:O, also:O, reflects:O, that:O, the:O, network:O, arms:O, merchants:O, have:O, lowered:O, the:O, threshold:O, of:O, APT:B-OffAct, attacks:I-OffAct, to:O, a:O, certain:O, extent:O, ,:O, making:O, more:O, uncertainties:O, of:O, cyber:O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 report includes details related to the major hacking targets of the SectorJ04 group in 2019 , how those targets were hacked , characteristics of their hacking activities this year and recent cases of the SectorJ04 group’s hacking .' [/INST] [This:O, report:B-SecTeam, includes:O, details:O, related:O, to:O, the:O, major:O, hacking:O, targets:O, of:O, the:O, SectorJ04:B-HackOrg, group:O, in:O, 2019:B-Time, ,:O, how:O, those:O, targets:O, were:O, hacked:O, ,:O, characteristics:O, of:O, their:O, hacking:O, activities:O, this:O, year:O, and:O, recent:O, cases:O, of:O, the:O, SectorJ04:B-HackOrg, group’s:O, hacking:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2019 , the SectorJ04 group expanded its hacking activities to cover various industrial sectors located across Southeast Asia and East Asia , and is changing the pattern of their attacks from targeted attacks to searching for random victims .' [/INST] [In:O, 2019:B-Time, ,:O, the:O, SectorJ04:B-HackOrg, group:O, expanded:O, its:O, hacking:O, activities:O, to:O, cover:O, various:O, industrial:B-Idus, sectors:I-Idus, located:O, across:O, Southeast:B-Area, Asia:I-Area, and:O, East:B-Area, Asia:I-Area, ,:O, and:O, is:O, changing:O, the:O, pattern:O, of:O, their:O, attacks:O, from:O, targeted:O, attacks:O, to:O, searching:O, for:O, random:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The SectorJ04 group has maintained the scope of its existing hacking activities while expanding its hacking activities to companies in various industrial sectors located in East Asia and Southeast Asia .' [/INST] [The:O, SectorJ04:B-HackOrg, group:O, has:O, maintained:O, the:O, scope:O, of:O, its:O, existing:O, hacking:O, activities:O, while:O, expanding:O, its:O, hacking:O, activities:O, to:O, companies:O, in:O, various:O, industrial:O, sectors:O, located:O, in:O, East:B-Area, Asia:I-Area, and:O, Southeast:B-Area, Asia: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: 'There was a significant increase in SectorJ04's hacking activities in 2019 , especially those targeting South Korea .' [/INST] [There:O, was:O, a:O, significant:O, increase:O, in:O, SectorJ04's:B-HackOrg, hacking:O, activities:O, in:O, 2019:B-Time, ,:O, especially:O, those:O, targeting:O, South: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: 'They mainly utilize spam email to deliver their backdoor to the infected system that can perform additional commands from the attacker’s server .' [/INST] [They:O, mainly:O, utilize:B-Way, spam:I-Way, email:I-Way, to:O, deliver:O, their:O, backdoor:O, to:O, the:O, infected:O, system:O, that:O, can:O, perform:O, additional:O, commands:O, from:O, the:O, attacker’s:B-HackOrg, 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: 'We saw SectorJ04 group activity in Germany , Indonesia , the United States , Taiwan , India .' [/INST] [We:O, saw:O, SectorJ04:B-HackOrg, group:O, activity:O, in:O, Germany:B-Area, ,:O, Indonesia:B-Area, ,:O, the:B-Area, United:B-Area, States:B-Area, ,:O, Taiwan:B-Area, ,:O, India: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: 'The SectorJ04 group mainly utilizes a spear phishing email with MS Word or Excel files attached , and the document files downloads the Microsoft Installer (MSI) installation file from the attacker server and uses it to install backdoor on the infected system .' [/INST] [The:O, SectorJ04:B-HackOrg, group:O, mainly:O, utilizes:O, a:O, spear:B-Way, phishing:I-Way, email:I-Way, with:O, MS:O, Word:O, or:O, Excel:O, files:O, attached:O, ,:O, and:O, the:O, document:B-SamFile, files:I-SamFile, downloads:B-Features, the:O, Microsoft:O, Installer:O, (MSI):O, installation:O, file:O, from:O, the:O, attacker:B-HackOrg, server:O, and:O, uses:O, it:O, to:O, install:O, backdoor:O, on:O, the:O, infected:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The SectorJ04 group’s preexisting targets were financial institutions located in countries such as North America and Europe , or general companies such as retail and manufacturing , but they recently expanded their areas of activity to include the medical , pharmaceutical , media , energy and manufacturing industries .' [/INST] [The:O, SectorJ04:B-HackOrg, group’s:O, preexisting:O, targets:O, were:O, financial:B-Idus, institutions:I-Idus, located:O, in:O, countries:O, such:O, as:O, North:B-Area, America:I-Area, and:O, Europe:B-Area, ,:O, or:O, general:O, companies:O, such:O, as:O, retail:O, and:O, manufacturing:O, ,:O, but:O, they:O, recently:O, expanded:O, their:O, areas:O, of:O, activity:O, to:O, include:O, the:O, medical:B-Idus, ,:O, pharmaceutical:B-Idus, ,:O, media:B-Idus, ,:O, energy:B-Idus, and:O, manufacturing:B-Idus, industries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 SectorJ04 group mainly used their own backdoor , ServHelper and FlawedAmmy RAT , for hacking .' [/INST] [The:O, SectorJ04:B-HackOrg, group:O, mainly:O, used:O, their:O, own:O, backdoor:O, ,:O, ServHelper:B-Tool, and:O, FlawedAmmy:B-Tool, RAT:I-Tool, ,:O, for:O, hacking:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'SectorJ04 also used the Remote Manipulator System (RMS) RAT , a legitimate remote management software created in Russia .' [/INST] [SectorJ04:B-HackOrg, also:O, used:O, the:O, Remote:B-Tool, Manipulator:I-Tool, System:I-Tool, (RMS):O, RAT:O, ,:O, a:O, legitimate:O, remote:O, management:O, software:O, created:O, in:O, Russia: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: 'Backdoors are installed in infected systems and SectorJ04 also distributed email stealers , botnet malware and ransomware through those backdoors .' [/INST] [Backdoors:O, are:O, installed:O, in:O, infected:O, systems:O, and:O, SectorJ04:B-HackOrg, also:O, distributed:O, email:O, stealers:O, ,:O, botnet:O, malware:O, and:O, ransomware:O, through:O, those:O, backdoors: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: 'Backdoor installed in the infected system distributed additional botnet malware , ransomware and email stealers .' [/INST] [Backdoor:B-SamFile, installed:O, in:O, the:O, infected:O, system:O, distributed:O, additional:B-Way, botnet:I-Way, malware:O, ,:O, ransomware:B-Way, and:O, email:B-Way, stealers:B-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: 'SectorJ04 was recently confirmed to use additional backdoor called AdroMut and FlowerPippi , which is used to install other backdoor such as FlawedAmmy RAT on behalf of the MSI file , or to collect system information and send it to the attacker’s server .' [/INST] [SectorJ04:B-HackOrg, was:O, recently:O, confirmed:O, to:O, use:O, additional:O, backdoor:O, called:O, AdroMut:B-Tool, and:O, FlowerPippi:B-Tool, ,:O, which:O, is:O, used:O, to:O, install:O, other:O, backdoor:O, such:O, as:O, FlawedAmmy:O, RAT:O, on:O, behalf:O, of:O, the:O, MSI:O, file:O, ,:O, or:O, to:O, collect:O, system:O, information:O, and:O, send:O, it:O, to:O, the:O, attacker’s:B-HackOrg, 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: 'Although the SectorJ04 group mainly targeted countries located in Europe or North America , it has recently expanded its field of activities to countries located in Southeast Asia and East Asia .' [/INST] [Although:O, the:O, SectorJ04:B-HackOrg, group:O, mainly:O, targeted:O, countries:O, located:O, in:O, Europe:B-Area, or:O, North:B-Area, America:I-Area, ,:O, it:O, has:O, recently:O, expanded:O, its:O, field:O, of:O, activities:O, to:O, countries:O, located:O, in:O, Southeast:B-Area, Asia:I-Area, and:O, East:B-Area, Asia: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: 'The email stealer collects connection protocol information and account information , such as SMTP , IMAP , and POP3 , which are stored in the registry by Outlook and Thunderbird mail clients and sends them to the attacker server in a specific format .' [/INST] [The:O, email:B-SamFile, stealer:I-SamFile, collects:B-Features, connection:I-Features, protocol:O, information:O, and:O, account:O, information:O, ,:O, such:O, as:O, SMTP:O, ,:O, IMAP:O, ,:O, and:O, POP3:O, ,:O, which:O, are:O, stored:O, in:O, the:O, registry:O, by:O, Outlook:O, and:O, Thunderbird:O, mail:O, clients:O, and:O, sends:O, them:O, to:O, the:O, attacker:O, server:O, in:O, a:O, specific:O, format:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 new type of backdoor called AdroMut and a new malware called FlowerPippi was also found coming from SectorJ04 .' [/INST] [A:O, new:O, type:O, of:O, backdoor:O, called:O, AdroMut:B-Tool, and:O, a:O, new:O, malware:O, called:O, FlowerPippi:B-Tool, was:O, also:O, found:O, coming:O, from:O, SectorJ04:B-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: 'But after 2019 SectorJ04 has changed its hacking strategy to attack using spam email .' [/INST] [But:O, after:O, 2019:B-Time, SectorJ04:B-HackOrg, has:O, changed:O, its:O, hacking:O, strategy:O, to:O, attack:O, using:O, spam:B-Way, email:B-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: 'The hacking activities of SectorJ04 group , which targeted South Korea in the first half of 2019 , have been continuously discovered .' [/INST] [The:O, hacking:O, activities:O, of:O, SectorJ04:B-HackOrg, group:O, ,:O, which:O, targeted:O, South:B-Area, Korea:I-Area, in:O, the:O, first:O, half:O, of:O, 2019:B-Time, ,:O, have:O, been:O, continuously:O, discovered:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2019 , the SectorJ04 group conducted large-scale hacking activities for financial gain using exploit kits on websites to install ransomware , such as Locky and GlobeImporter , along with its banking Trojan , on its victims computers .' [/INST] [Prior:O, to:O, 2019:O, ,:O, the:O, SectorJ04:B-HackOrg, group:O, conducted:O, large-scale:O, hacking:O, activities:O, for:O, financial:O, gain:O, using:O, exploit:B-Tool, kits:I-Tool, on:O, websites:O, to:O, install:O, ransomware:O, ,:O, such:O, as:O, Locky:B-Tool, and:O, GlobeImporter:B-Tool, ,:O, along:O, with:O, its:O, banking:B-Tool, Trojan:I-Tool, ,:O, on:O, its: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: 'In June 2019 , continuous SectorJ04's activities targeting South Korea were found again and spam emails were written with various contents , including transaction statements , receipts and remittance cards .' [/INST] [In:O, June:O, 2019:O, ,:O, continuous:O, SectorJ04's:B-HackOrg, activities:O, targeting:O, South:B-Area, Korea:I-Area, were:O, found:O, again:O, and:O, spam:O, emails:O, were:O, written:O, with:O, various:O, contents:O, ,:O, including:O, transaction:O, statements:O, ,:O, receipts:O, and:O, remittance:O, cards:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 SectorJ04 group has carried out large-scale hacking activities targeting South Korea , while also expanding the field of attacks to Southeast Asian countries such as Taiwan and the Philippines .' [/INST] [The:O, SectorJ04:B-HackOrg, group:O, has:O, carried:O, out:O, large-scale:O, hacking:O, activities:O, targeting:O, South:B-Area, Korea:I-Area, ,:O, while:O, also:O, expanding:O, the:O, field:O, of:O, attacks:O, to:O, Southeast:B-Area, Asian:I-Area, countries:O, such:O, as:O, Taiwan:B-Area, and:O, the:O, Philippines: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: 'In June , SectorJ04 group conducted hacking using spam emails written in various languages , including English , Arabic , Korean and Italian , and the emails were written with various contents , including remittance card , invoice and tax invoice .' [/INST] [In:O, June:B-Time, ,:O, SectorJ04:B-HackOrg, group:O, conducted:O, hacking:O, using:O, spam:O, emails:O, written:O, in:O, various:O, languages:O, ,:O, including:O, English:O, ,:O, Arabic:O, ,:O, Korean:O, and:O, Italian:O, ,:O, and:O, the:O, emails:O, were:O, written:O, with:O, various:O, contents:O, ,:O, including:O, remittance:O, card:O, ,:O, invoice:O, and:O, tax:O, invoice:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Spam emails and attachments written in Chinese were found in May , and the SectorJ04 group at that time targeted industrial sectors such as electronics and telecommunications , international schools and manufacturing .' [/INST] [Spam:O, emails:O, and:O, attachments:O, written:O, in:O, Chinese:O, were:O, found:O, in:O, May:O, ,:O, and:O, the:O, SectorJ04:B-HackOrg, group:O, at:O, that:O, time:O, targeted:O, industrial:O, sectors:O, such:O, as:O, electronics:B-Idus, and:O, telecommunications:B-Idus, ,:O, international:B-Idus, schools:O, and:O, manufacturing: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 addition to their preexist backdoor , ServHelper and FlawedAmmy , they have also been confirmed to use the backdoor called AdroMut and FlowerPippi .' [/INST] [In:O, addition:O, to:O, their:O, preexist:O, backdoor:O, ,:O, ServHelper:B-Tool, and:O, FlawedAmmy:B-Tool, ,:O, they:O, have:O, also:O, been:O, confirmed:O, to:O, use:O, the:O, backdoor:O, called:O, AdroMut:B-Tool, and:O, FlowerPippi: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: 'AdroMut downloads the malware ServHelper and FlawedAmmy RAT used by the SectorJ04 group from the attacker server and simultaneously performs the functions of a backdoor .' [/INST] [AdroMut:O, downloads:B-Features, the:I-Features, malware:I-Features, ServHelper:B-Tool, and:O, FlawedAmmy:B-Tool, RAT:O, used:O, by:O, the:O, SectorJ04:B-HackOrg, group:O, from:O, the:O, attacker:O, server:O, and:O, simultaneously:O, performs:O, the:O, functions:O, of:O, a:O, backdoor:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 SectorJ04 group , which has been utilizing the same pattern of infection and the same malware for more than six months , is believed to be attempting to change its infection methods such as downloading malware directly from malicious documents without using MSI installation files , changing their spam email format and using new types of backdoor .' [/INST] [The:O, SectorJ04:B-HackOrg, group:O, ,:O, which:O, has:O, been:O, utilizing:O, the:O, same:O, pattern:O, of:O, infection:O, and:O, the:O, same:O, malware:O, for:O, more:O, than:O, six:O, months:O, ,:O, is:O, believed:O, to:O, be:O, attempting:O, to:O, change:O, its:O, infection:O, methods:O, such:O, as:O, downloading:B-Way, malware:I-Way, directly:O, from:O, malicious:O, documents:O, without:O, using:O, MSI:O, installation:O, files:O, ,:O, changing:B-Way, their:O, spam:O, email:O, format:O, and:O, using:O, new:O, types:O, of:O, backdoor:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2019 , SectorJ04 group had carried out massive website-based hacking activities that mainly utilize ransomware and banking trojans for financial profit , and has also been carrying out information gathering activities to secure attack resources such as email accounts and system login information from users since 2019 .' [/INST] [Until:O, 2019:B-Time, ,:O, SectorJ04:B-HackOrg, group:O, had:O, carried:O, out:O, massive:O, website-based:O, hacking:O, activities:O, that:O, mainly:O, utilize:O, ransomware:B-Tool, and:O, banking:B-Tool, trojans:I-Tool, for:O, financial:O, profit:O, ,:O, and:O, has:O, also:O, been:O, carrying:O, out:O, information:B-OffAct, gathering:I-OffAct, activities:I-OffAct, to:O, secure:O, attack:O, resources:O, such:O, as:O, email:O, accounts:O, and:O, system:O, login:O, information:O, from:O, users:O, since:O, 2019: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 SectorJ04 group has shown a pattern of hacking activities that have changed from targeted attacks to a large-scale distribution of spam .' [/INST] [The:O, SectorJ04:B-HackOrg, group:O, has:O, shown:O, a:O, pattern:O, of:O, hacking:O, activities:O, that:O, have:O, changed:O, from:O, targeted:O, attacks:O, to:O, a:O, large-scale:O, distribution:B-Way, of:I-Way, spam: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 allows them to expand their range of targets of hacking activities for financial profit , and in this regard , SectorJ04 group has been found to have hacked into a company’s internal network by using a spear phishing email targeting executives and employees of certain South Korean companies around February 2019 .' [/INST] [This:O, allows:O, them:O, to:O, expand:O, their:O, range:O, of:O, targets:O, of:O, hacking:O, activities:O, for:O, financial:O, profit:O, ,:O, and:O, in:O, this:O, regard:O, ,:O, SectorJ04:B-HackOrg, group:O, has:O, been:O, found:O, to:O, have:O, hacked:O, into:O, a:O, company’s:O, internal:O, network:O, by:O, using:O, a:O, spear:B-Way, phishing:I-Way, email:O, targeting:O, executives:O, and:O, employees:O, of:O, certain:O, South:B-Area, Korean:I-Area, companies:B-Org, around:O, February:B-Time, 2019: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: 'SectorJ04 group carried out intensive hacking on various industrial sectors , including South Korea’s media , manufacturing and universities , around February and March 2019 .' [/INST] [SectorJ04:B-HackOrg, group:O, carried:O, out:O, intensive:O, hacking:O, on:O, various:O, industrial:O, sectors:O, ,:O, including:O, South:O, Korea’s:O, media:B-Idus, ,:O, manufacturing:B-Idus, and:O, universities:B-Idus, ,:O, around:O, February:B-Time, and:O, March:B-Time, 2019: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: 'SectorJ04 used the spear phishing email to spread malicious Excel or malicious Word files , and downloaded the MSI files from the attacker’s server when the malicious documents were run .' [/INST] [SectorJ04:B-HackOrg, used:O, the:O, spear:B-Way, phishing:I-Way, email:O, to:O, spread:B-Purp, malicious:I-Purp, Excel:O, or:O, malicious:O, Word:O, files:O, ,:O, and:O, downloaded:B-Purp, the:O, MSI:O, files:O, from:O, the:O, attacker’s:B-HackOrg, server:O, when:O, the:O, malicious:O, documents:O, were:O, run:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'SectorJ04 group conducted hacking activities targeting financial institutions located in India and Hong Kong around April 2019 .' [/INST] [SectorJ04:B-HackOrg, group:O, conducted:O, hacking:B-OffAct, activities:I-OffAct, targeting:O, financial:B-Idus, institutions:O, located:O, in:O, India:B-Area, and:O, Hong:B-Area, Kong:I-Area, around:O, April:B-Time, 2019: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: 'SectorJ04 group carried out hacking activities targeting financial institutions located in Italy and other countries around May 2019 .' [/INST] [SectorJ04:B-HackOrg, group:O, carried:O, out:O, hacking:O, activities:O, targeting:O, financial:B-Idus, institutions:O, located:O, in:O, Italy:B-Area, and:O, other:O, countries:O, around:O, May:B-Time, 2019: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 late July , SectorJ04 group used FlawedAmmy RAT to carry out hacking attacks on companies and universities in sectors such as education , job openings , real estate and semiconductors in South Korea .' [/INST] [In:O, late:O, July:B-Time, ,:O, SectorJ04:B-HackOrg, group:O, used:O, FlawedAmmy:O, RAT:O, to:O, carry:O, out:O, hacking:O, attacks:O, on:O, companies:O, and:O, universities:O, in:O, sectors:O, such:O, as:O, education:B-Idus, ,:O, job:B-Idus, openings:I-Idus, ,:O, real:B-Idus, estate:I-Idus, and:O, semiconductors:B-Idus, in:O, South: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 early August , the SectorJ04 group carried out extensive hacking activities targeting the users around the world , including South Korea , India , Britain , the United States , Germany , Canada , Argentina , Bangladesh and Hong Kong .' [/INST] [In:O, early:O, August:B-Time, ,:O, the:O, SectorJ04:B-HackOrg, group:O, carried:O, out:O, extensive:O, hacking:B-OffAct, activities:I-OffAct, targeting:O, the:O, users:O, around:O, the:O, world:O, ,:O, including:O, South:B-Area, Korea:I-Area, ,:O, India:B-Area, ,:O, Britain:B-Area, ,:O, the:O, United:B-Area, States:I-Area, ,:O, Germany:B-Area, ,:O, Canada:B-Area, ,:O, Argentina:B-Area, ,:O, Bangladesh:B-Area, and:O, Hong:B-Area, Kong: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: 'Spam emails targeting email accounts used in the integrated mail service of public officials were also found in the hacking activity .' [/INST] [Spam:B-Way, emails:I-Way, targeting:O, email:O, accounts:O, used:O, in:O, the:O, integrated:O, mail:O, service:O, of:O, public:O, officials:O, were:O, also:O, found:O, in:O, the:O, hacking: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: 'They are one of the most active cyber crime groups in 2019 , and they often modify and tweak their hacking methods and perform periodic hacking activities .' [/INST] [They:O, are:O, one:O, of:O, the:O, most:O, active:O, cyber:O, crime:O, groups:B-HackOrg, in:O, 2019:B-Time, ,:O, and:O, they:O, often:O, modify:O, and:O, tweak:O, their:O, hacking:O, methods:O, and:O, perform:O, periodic:O, hacking:B-OffAct, activities: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: 'Now , Silence is one of the most active threat actors targeting the financial sector .' [/INST] [Now:O, ,:O, Silence:B-HackOrg, is:O, one:O, of:O, the:O, most:O, active:O, threat:O, actors:O, targeting:O, the:O, financial:B-Idus, sector:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since we released our original report , Silence: Moving into the darkside , the confirmed damage from Silence's operations has increased fivefold compared to the figures in Group-IB's initial report .' [/INST] [Since:O, we:O, released:O, our:O, original:O, report:O, ,:O, Silence::B-HackOrg, Moving:O, into:O, the:O, darkside:O, ,:O, the:O, confirmed:O, damage:O, from:O, Silence's:O, operations:O, has:O, increased:O, fivefold:O, compared:O, to:O, the:O, figures:O, in:O, Group-IB's:B-SecTeam, initial:O, report:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Silence started by targeting organizations in Russia , gradually shifting their focus to former Soviet countries , and then the world .' [/INST] [Silence:B-HackOrg, started:O, by:O, targeting:O, organizations:O, in:O, Russia:B-Area, ,:O, gradually:O, shifting:O, their:O, focus:O, to:O, former:B-Area, Soviet:I-Area, countries:O, ,:O, and:O, then:O, the:O, world:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Silence also started using Ivoke , a fileless loader , and EDA agent , both written in PowerShell .' [/INST] [Silence:B-HackOrg, also:O, started:O, using:O, Ivoke:B-Tool, ,:O, a:O, fileless:O, loader:O, ,:O, and:O, EDA:B-Tool, agent:I-Tool, ,:O, both:O, written:O, in:O, PowerShell:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Silence 2.0: Going Global is an extension of our original report: Silence: Moving into the Darkside which remains the most significant contribution to the research on the group and is the first such report to reveal Silence’s activity .' [/INST] [Silence:O, 2.0::O, Going:B-SecTeam, Global:I-SecTeam, is:O, an:O, extension:O, of:O, our:O, original:O, report::O, Silence::O, Moving:O, into:O, the:O, Darkside:O, which:O, remains:O, the:O, most:O, significant:O, contribution:O, to:O, the:O, research:O, on:O, the:O, group:B-HackOrg, and:O, is:O, the:O, first:O, such:O, report:O, to:O, reveal:O, Silence’s:B-HackOrg, activity: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: 'Since the report’s release in September 2018 , Group-IB’s Threat Intelligence team has detected 16 campaigns targeting banks launched by Silence .' [/INST] [Since:O, the:O, report’s:O, release:O, in:O, September:B-Time, 2018:I-Time, ,:O, Group-IB’s:B-SecTeam, Threat:O, Intelligence:O, team:O, has:O, detected:O, 16:O, campaigns:O, targeting:O, banks:B-Org, launched:O, by:O, Silence:B-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: 'Like the majority of APT groups , Silence uses phishing as their infection vector .' [/INST] [Like:O, the:O, majority:O, of:O, APT:O, groups:O, ,:O, Silence:B-HackOrg, uses:O, phishing:B-Way, as:O, their:O, infection:O, vector:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the last successful attack described in Silence: Moving into the darkside , dated April 2018 , the hackers siphoned off about $150 , 000 through ATMs in a single night .' [/INST] [In:O, the:O, last:O, successful:B-OffAct, attack:I-OffAct, described:O, in:O, Silence::O, Moving:O, into:O, the:O, darkside:O, ,:O, dated:O, April:B-Time, 2018:I-Time, ,:O, the:O, hackers:B-HackOrg, siphoned:O, off:O, about:O, $150:O, ,:O, 000:O, through:O, ATMs:O, in:O, a:O, single:O, night:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 April 2018 , as described in Group-IB’s Silence: Moving into the darkside report , Silence’s target interests were primarily limited to former Soviet and Eastern European countries including Russia , Ukraine , Belarus , Azerbaijan , Poland , and Kazakhstan .' [/INST] [Prior:O, to:O, April:B-Time, 2018:I-Time, ,:O, as:O, described:O, in:O, Group-IB’s:B-HackOrg, Silence::O, Moving:O, into:O, the:O, darkside:O, report:O, ,:O, Silence’s:O, target:O, interests:O, were:O, primarily:O, limited:O, to:O, former:B-Area, Soviet:I-Area, and:O, Eastern:B-Area, European:I-Area, countries:O, including:O, Russia:B-Area, ,:O, Ukraine:B-Area, ,:O, Belarus:B-Area, ,:O, Azerbaijan:B-Area, ,:O, Poland:B-Area, ,:O, and:O, Kazakhstan: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: 'In 2018 , Silence conducted test campaigns to update their database of current targets and expand their attack geography .' [/INST] [In:O, 2018:B-Time, ,:O, Silence:B-HackOrg, conducted:O, test:O, campaigns:O, to:O, update:O, their:O, database:O, of:O, current:O, targets:O, and:O, expand:O, their:O, attack:O, geography:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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’s emails usually contain a picture or a link without a malicious payload and are sent out to a huge recipient database of up to 85 , 000 users .' [/INST] [The:O, threat:O, actor’s:B-HackOrg, emails:O, usually:O, contain:O, a:O, picture:O, or:O, a:O, link:O, without:O, a:O, malicious:B-SamFile, payload:I-SamFile, and:O, are:O, sent:O, out:O, to:O, a:O, huge:O, recipient:O, database:O, of:O, up:O, to:O, 85:O, ,:O, 000:O, users: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: 'Silence has conducted at least three campaigns using recon emails , followed by malicious mail sent to an updated recipient list .' [/INST] [Silence:B-HackOrg, has:O, conducted:O, at:O, least:O, three:O, campaigns:O, using:O, recon:O, emails:O, ,:O, followed:O, by:O, malicious:B-Way, mail:I-Way, sent:O, to:O, an:O, updated:O, recipient:O, list:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 has also detected recon emails sent out to New Zealand .' [/INST] [Group-IB:B-SecTeam, has:O, also:O, detected:O, recon:B-SamFile, emails:I-SamFile, sent:O, out:O, to:O, New:B-Area, Zealand: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: 'Since our last public report , Silence has sent out more than 170 , 000 recon emails to banks in Russia , the former Soviet Union , Asia and Europe .' [/INST] [Since:O, our:O, last:O, public:O, report:O, ,:O, Silence:B-HackOrg, has:O, sent:O, out:O, more:O, than:O, 170:O, ,:O, 000:O, recon:O, emails:O, to:O, banks:B-Idus, in:O, Russia:B-Area, ,:O, the:O, former:B-Area, Soviet:I-Area, Union:O, ,:O, Asia:B-Area, and:O, Europe: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: 'In November 2018 , Silence tried their hand at targeting the Asian market for the first time in their history .' [/INST] [In:O, November:B-Time, 2018:I-Time, ,:O, Silence:B-HackOrg, tried:O, their:O, hand:O, at:O, targeting:O, the:O, Asian:B-Idus, market:I-Idus, for:O, the:O, first:O, time:O, in:O, their:O, history:O, .:O] </s> |
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