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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: 'Additionally Kaspersky identified a new backdoor that we attribute with medium confidence to Turla .' [/INST] [Additionally:O, Kaspersky:B-SecTeam, identified:O, a:O, new:O, backdoor:B-SamFile, that:O, we:O, attribute:O, with:O, medium:O, confidence:O, to:O, Turla: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: 'Researchers at Symantec suspect that Turla used the hijacked network to attack a Middle Eastern government .' [/INST] [Researchers:O, at:O, Symantec:B-SecTeam, suspect:O, that:O, Turla:O, used:O, the:O, hijacked:O, network:O, to:O, attack:O, a:O, Middle:B-Area, Eastern:I-Area, government: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: 'Symantec researchers have uncovered evidence that the Waterbug APT group has conducted a hostile takeover of an attack platform .' [/INST] [Symantec:B-SecTeam, researchers:O, have:O, uncovered:O, evidence:O, that:O, the:O, Waterbug:B-HackOrg, APT:O, group:O, has:O, conducted:O, a:O, hostile:O, takeover:O, of:O, an:O, attack:O, platform:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Researchers at the Microstep Intelligence Bureau have published a report on targeted attacks on the Ukrainian government that they attribute to the Gamaredon threat actor .' [/INST] [Researchers:O, at:O, the:O, Microstep:B-SecTeam, Intelligence:I-SecTeam, Bureau:I-SecTeam, have:O, published:O, a:O, report:O, on:O, targeted:O, attacks:O, on:O, the:O, Ukrainian:B-Org, government:I-Org, that:O, they:O, attribute:O, to:O, the:O, Gamaredon:B-HackOrg, threat:O, actor:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Kaspersky found an active campaign by a Chinese APT group we call SixLittleMonkeys that uses a new version of the Microcin Trojan and a RAT that we call HawkEye as a last stager .' [/INST] [Kaspersky:B-SecTeam, found:O, an:O, active:B-OffAct, campaign:I-OffAct, by:O, a:O, Chinese:B-Area, APT:O, group:O, we:O, call:O, SixLittleMonkeys:B-HackOrg, that:O, uses:O, a:O, new:O, version:O, of:O, the:O, Microcin:B-Tool, Trojan:I-Tool, and:O, a:O, RAT:B-Tool, that:O, we:O, call:O, HawkEye:O, as:O, a:O, last:O, stager:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trend Micro has previously reported the use of this malware in targeted attacks by the BlackTech group , primarily focused on cyber-espionage in Asia .' [/INST] [Trend:B-SecTeam, Micro:I-SecTeam, has:O, previously:O, reported:O, the:O, use:O, of:O, this:O, malware:O, in:O, targeted:O, attacks:O, by:O, the:O, BlackTech:B-HackOrg, group:O, ,:O, primarily:O, focused:O, on:O, cyber-espionage:O, in:O, Asia: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: 'LuckyMouse activity detected by Palo Alto involved the attackers installing web shells on SharePoint servers to compromise government organizations in the Middle East .' [/INST] [LuckyMouse:B-HackOrg, activity:O, detected:O, by:O, Palo:B-SecTeam, Alto:I-SecTeam, involved:O, the:O, attackers:O, installing:O, web:B-Tool, shells:I-Tool, on:O, SharePoint:O, servers:O, to:O, compromise:O, government:B-Org, organizations:I-Org, in:O, the:O, Middle:B-Area, East: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: 'Talos published its analysis of the BlackWater campaign , related to MuddyWater group .' [/INST] [Talos:B-SecTeam, published:O, its:O, analysis:O, of:O, the:O, BlackWater:B-OffAct, campaign:I-OffAct, ,:O, related:O, to:O, MuddyWater:B-HackOrg, 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: 'Trend Micro also reported MuddyWater’s use of a new multi-stage PowerShell-based backdoor called POWERSTATS v3 .' [/INST] [Trend:B-SecTeam, Micro:I-SecTeam, also:O, reported:O, MuddyWater’s:B-HackOrg, use:O, of:O, a:O, new:O, multi-stage:O, PowerShell-based:O, backdoor:O, called:O, POWERSTATS:B-SamFile, v3: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: 'Regarding other groups , Kaspersky discovered new activity related to ZooPark , a cyber-espionage threat actor that has focused mainly on stealing data from Android devices .' [/INST] [Regarding:O, other:O, groups:B-HackOrg, ,:O, Kaspersky:B-SecTeam, discovered:O, new:O, activity:O, related:O, to:O, ZooPark:B-HackOrg, ,:O, a:O, cyber-espionage:O, threat:O, actor:O, that:O, has:O, focused:O, mainly:O, on:O, stealing:B-Way, data:I-Way, from:O, Android:O, devices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Recorded Future published an analysis of the infrastructure built by APT33 (aka Elfin) to target Saudi organizations .' [/INST] [Recorded:B-SecTeam, Future:I-SecTeam, published:O, an:O, analysis:O, of:O, the:O, infrastructure:O, built:O, by:O, APT33:B-HackOrg, (aka:O, Elfin):O, to:O, target:O, Saudi:B-Area, 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: 'Early in Q2 , Kaspersky identified an interesting Lazarus attack targeting a mobile gaming company in South Korea that we believe was aimed at stealing application source code .' [/INST] [Early:O, in:O, Q2:O, ,:O, Kaspersky:B-SecTeam, identified:O, an:O, interesting:O, Lazarus:B-HackOrg, attack:O, targeting:O, a:O, mobile:B-Idus, gaming:I-Idus, company:O, in:O, South:B-Area, Korea:I-Area, that:O, we:O, believe:O, was:O, aimed:O, at:O, stealing:B-Purp, application:B-Purp, source:O, code:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 a recent campaign , Kaspersky observed ScarCruft using a multi-stage binary to infect several victims and ultimately install a final payload known as ROKRAT – a cloud service-based backdoor .' [/INST] [In:O, a:O, recent:O, campaign:O, ,:O, Kaspersky:B-SecTeam, observed:O, ScarCruft:B-HackOrg, using:O, a:O, multi-stage:O, binary:O, to:O, infect:O, several:O, victims:O, and:O, ultimately:O, install:O, a:O, final:O, payload:O, known:O, as:O, ROKRAT:B-Tool, –:O, a:O, cloud:O, service-based: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: 'ESET recently analyzed a new Mac OS sample from the OceanLotus group that had been uploaded to VirusTotal .' [/INST] [ESET:B-SecTeam, recently:O, analyzed:O, a:O, new:O, Mac:O, OS:O, sample:B-SamFile, from:O, the:O, OceanLotus:B-HackOrg, group:O, that:O, had:O, been:O, uploaded:B-Way, to:I-Way, VirusTotal: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: 'The threat actor behind the campaign , which Kaspersky believes to be the PLATINUM APT group , uses an elaborate , previously unseen , steganographic technique to conceal communication .' [/INST] [The:O, threat:O, actor:B-HackOrg, behind:O, the:O, campaign:O, ,:O, which:O, Kaspersky:B-SecTeam, believes:O, to:O, be:O, the:O, PLATINUM:B-SecTeam, APT:O, group:O, ,:O, uses:O, an:O, elaborate:O, ,:O, previously:O, unseen:O, ,:O, steganographic:O, technique:O, to:O, conceal:O, communication:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye defined APT40 as the Chinese state-sponsored threat actor previously reported as TEMP.Periscope , Leviathan and TEMP.Jumper .' [/INST] [FireEye:B-SecTeam, defined:O, APT40:B-SecTeam, as:O, the:O, Chinese:B-Area, state-sponsored:O, threat:O, actor:O, previously:O, reported:O, as:O, TEMP.Periscope:B-HackOrg, ,:O, Leviathan:B-HackOrg, and:O, TEMP.Jumper: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: 'In January , Kaspersky identified new activity by the Transparent Tribe APT group aka PROJECTM and MYTHIC LEOPARD , a threat actor with interests aligned with Pakistan that has shown a persistent focus on Indian military targets .' [/INST] [In:O, January:B-Time, ,:O, Kaspersky:B-SecTeam, identified:O, new:O, activity:O, by:O, the:O, Transparent:O, Tribe:O, APT:O, group:O, aka:O, PROJECTM:B-HackOrg, and:O, MYTHIC:B-HackOrg, LEOPARD:I-HackOrg, ,:O, a:O, threat:O, actor:O, with:O, interests:O, aligned:O, with:O, Pakistan:O, that:O, has:O, shown:O, a:O, persistent:O, focus:O, on:O, Indian:B-Area, military:B-Idus, 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: 'OceanLotus was another actor active during this period , using a new downloader called KerrDown , as reported by Palo Alto .' [/INST] [OceanLotus:B-HackOrg, was:O, another:O, actor:O, active:O, during:O, this:O, period:O, ,:O, using:O, a:O, new:O, downloader:O, called:O, KerrDown:B-Tool, ,:O, as:O, reported:O, by:O, Palo:B-SecTeam, Alto:I-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: 'ESET recently uncovered a new addition to OceanLotus’s toolset targeting Mac OS .' [/INST] [ESET:B-SecTeam, recently:O, uncovered:O, a:O, new:O, addition:O, to:O, OceanLotus’s:B-HackOrg, toolset:O, targeting:O, Mac:O, OS:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 mid-2018 , Kaspersky's report on Operation AppleJeus” highlighted the focus of the Lazarus threat actor on cryptocurrency exchanges .' [/INST] [In:O, mid-2018:B-Time, ,:O, Kaspersky's:B-SecTeam, report:O, on:O, Operation:O, AppleJeus”:O, highlighted:O, the:O, focus:O, of:O, the:O, Lazarus:B-HackOrg, threat:O, actor:O, on:O, cryptocurrency:O, exchanges:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Kaspersky also observed some activity from Gaza Team and MuddyWater .' [/INST] [Kaspersky:B-SecTeam, also:O, observed:O, some:O, activity:O, from:O, Gaza:O, Team:O, and:O, MuddyWater: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: 'Kaspersky wrote about LuckyMouse targeting national data centers in June .' [/INST] [Kaspersky:B-SecTeam, wrote:O, about:O, LuckyMouse:B-SecTeam, targeting:O, national:O, data:O, centers:O, 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: 'Kaspersky also discovered that LuckyMouse unleashed a new wave of activity targeting Asian governmental organizations just around the time they had gathered for a summit in China .' [/INST] [Kaspersky:B-SecTeam, also:O, discovered:O, that:O, LuckyMouse:B-SecTeam, unleashed:O, a:O, new:O, wave:O, of:O, activity:O, targeting:O, Asian:B-Area, governmental:O, organizations:O, just:O, around:O, the:O, time:O, they:O, had:O, gathered:O, for:O, a:O, summit: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: 'Kaspersky have observed similar activity in the past from groups such as Oilrig and Stonedrill , which leads us to believe the new attacks could be connected , though for now that connection is only assessed as low confidence .' [/INST] [Kaspersky:B-SecTeam, have:O, observed:O, similar:O, activity:O, in:O, the:O, past:O, from:O, groups:O, such:O, as:O, Oilrig:B-HackOrg, and:O, Stonedrill:B-HackOrg, ,:O, which:O, leads:O, us:O, to:O, believe:O, the:O, new:O, attacks:O, could:O, be:O, connected:O, ,:O, though:O, for:O, now:O, that:O, connection:O, is:O, only:O, assessed:O, as:O, low:O, confidence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2019 , FireEye released the Double Dragon” report on our newest graduated threat group , APT41 .' [/INST] [In:O, August:B-Time, 2019:I-Time, ,:O, FireEye:B-SecTeam, released:O, the:O, Double:O, Dragon”:O, report:O, on:O, our:O, newest:O, graduated:O, threat:O, group:O, ,:O, APT41: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: 'Today , FireEye Intelligence is releasing a comprehensive report detailing APT41 , a prolific Chinese cyber threat group that carries out state-sponsored espionage activity in parallel with financially motivated operations .' [/INST] [Today:O, ,:O, FireEye:B-SecTeam, Intelligence:O, is:O, releasing:O, a:O, comprehensive:O, report:O, detailing:O, APT41:B-HackOrg, ,:O, a:O, prolific:O, Chinese:B-Area, cyber:O, threat:O, group:O, that:O, carries:O, out:O, state-sponsored:O, espionage:O, activity:O, in:O, parallel:O, with:O, financially:B-Idus, motivated:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Group-IB experts continuously monitor the Silence’ activities .' [/INST] [Group-IB:B-SecTeam, experts:O, continuously:O, monitor:O, the:O, Silence’:B-HackOrg, activities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Group-IB has uncovered a hacker group , MoneyTaker , attacking banks in the USA and Russia .' [/INST] [Group-IB:B-SecTeam, has:O, uncovered:O, a:O, hacker:O, group:O, ,:O, MoneyTaker:B-HackOrg, ,:O, attacking:O, banks:B-Idus, in:O, the:O, USA:B-Area, and: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: 'Group-IB reveals the unknown details of attacks from one of the most notorious APT groups , Lazarus .' [/INST] [Group-IB:B-SecTeam, reveals:O, the:O, unknown:O, details:O, of:O, attacks:O, from:O, one:O, of:O, the:O, most:O, notorious:O, APT:O, groups:O, ,:O, Lazarus: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: 'Finally , Kaspersky produced a summary report on Sofacy’s summertime activity .' [/INST] [Finally:O, ,:O, Kaspersky:B-SecTeam, produced:O, a:O, summary:O, report:O, on:O, Sofacy’s:B-HackOrg, summertime:O, activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Kaspersky were also able to produce two reports on Korean speaking actors , specifically involving Scarcruft and Bluenoroff .' [/INST] [Kaspersky:B-SecTeam, were:O, also:O, able:O, to:O, produce:O, two:O, reports:O, on:O, Korean:B-Area, speaking:O, actors:O, ,:O, specifically:O, involving:O, Scarcruft:B-HackOrg, and:O, Bluenoroff: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: 'Analysis of the payload allowed us to confidently link this attack to an actor Kaspersky track as BlackOasis .' [/INST] [Analysis:O, of:O, the:O, payload:O, allowed:O, us:O, to:O, confidently:O, link:O, this:O, attack:O, to:O, an:O, actor:O, Kaspersky:B-SecTeam, track:O, as:O, BlackOasis: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: 'Kaspersky first became aware of BlackOasis’ activities in May 2016 , while investigating another Adobe Flash zero day .' [/INST] [Kaspersky:B-SecTeam, first:O, became:O, aware:O, of:O, BlackOasis’:B-HackOrg, activities:O, in:O, May:B-Time, 2016:I-Time, ,:O, while:O, investigating:O, another:O, Adobe:O, Flash:O, zero:B-Exp, day:I-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 contains a Word document in plaintext ( written to Bienvenue_a_Sahaja_Yoga_Toulouse.doc ) , along with an executable ( Update.exe ) and DLL ( McUpdate.dll ) .' [/INST] [It:O, contains:O, a:O, Word:B-SamFile, document:I-SamFile, in:O, plaintext:O, (:O, written:O, to:O, Bienvenue_a_Sahaja_Yoga_Toulouse.doc:B-SamFile, ):O, ,:O, along:O, with:O, an:O, executable:O, (:O, Update.exe:B-SamFile, ):O, and:O, DLL:O, (:O, McUpdate.dll: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: 'We identified decoy files which indicate these attacks began with spear phishing messages but have not observed the actual messages .' [/INST] [We:O, identified:O, decoy:B-SamFile, files:I-SamFile, which:O, indicate:O, these:O, attacks:B-OffAct, began:O, with:O, spear:B-Way, phishing:I-Way, messages:I-Way, but:O, have:O, not:O, observed:O, the:O, actual:O, messages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Additionally , these decoy documents are hosted on legitimate websites including a government website belonging to the Cambodia Government and in at least once case , Facebook .' [/INST] [Additionally:O, ,:O, these:O, decoy:B-SamFile, documents:I-SamFile, are:O, hosted:O, on:O, legitimate:O, websites:O, including:O, a:O, government:O, website:O, belonging:O, to:O, the:O, Cambodia:B-Org, Government:I-Org, and:O, in:O, at:O, least:O, once:O, case:O, ,:O, Facebook: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: 'However , the unique malware variant , BlackEnergy 3 , reemerged in Ukraine early in 2015 , where we had first found Sandworm Team .' [/INST] [However:O, ,:O, the:O, unique:O, malware:O, variant:O, ,:O, BlackEnergy:B-SamFile, 3:I-SamFile, ,:O, reemerged:O, in:O, Ukraine:B-Area, early:O, in:O, 2015:B-Time, ,:O, where:O, we:O, had:O, first:O, found:O, Sandworm:B-HackOrg, Team: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 initial indicator of the attack was a malicious web shell that was detected on an IIS server , coming out of the w3wp.exe process .' [/INST] [The:O, initial:O, indicator:O, of:O, the:O, attack:B-OffAct, was:O, a:O, malicious:O, web:O, shell:O, that:O, was:O, detected:O, on:O, an:O, IIS:O, server:O, ,:O, coming:O, out:O, of:O, the:O, w3wp.exe:B-SamFile, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We have previously detected groups we suspect are affiliated with the North Korean government compromising electric utilities in South Korea , but these compromises did not lead to a disruption of the power supply .' [/INST] [We:O, have:O, previously:O, detected:O, groups:B-HackOrg, we:O, suspect:O, are:O, affiliated:O, with:O, the:O, North:B-Area, Korean:I-Area, government:B-Org, compromising:O, electric:B-Idus, utilities:O, in:O, South:B-Area, Korea:I-Area, ,:O, but:O, these:O, compromises:O, did:O, not:O, lead:O, to:O, a:O, disruption:O, of:O, the:O, power:O, supply:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , sensitive KHNP documents were leaked by the actors as part of an effort to exaggerate the access they had and embarrass the South Korean Government , a technique we assess North Korea would turn to again in order to instill fear and/or meet domestic propaganda aims .' [/INST] [Instead:O, ,:O, sensitive:O, KHNP:B-SamFile, documents:I-SamFile, were:O, leaked:O, by:O, the:O, actors:B-HackOrg, as:O, part:O, of:O, an:O, effort:O, to:O, exaggerate:O, the:O, access:O, they:O, had:O, and:O, embarrass:O, the:O, South:B-Org, Korean:I-Org, Government:I-Org, ,:O, a:O, technique:O, we:O, assess:O, North:B-Area, Korea:I-Area, would:O, turn:O, to:O, again:O, in:O, order:O, to:O, instill:O, fear:O, and/or:O, meet:O, domestic:O, propaganda:O, aims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'North Korea linked hackers are among the most prolific nation-state threats , targeting not only the U.S. and South Korea but the global financial system and nations worldwide .' [/INST] [North:B-Area, Korea:I-Area, linked:O, hackers:O, are:O, among:O, the:O, most:O, prolific:O, nation-state:O, threats:O, ,:O, targeting:O, not:O, only:O, the:B-Area, U.S.:I-Area, and:O, South:B-Area, Korea:I-Area, but:O, the:O, global:O, financial:B-Idus, system:O, and:O, nations:B-Idus, 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: 'The malware may inject itself into browser processes and explorer.exe .' [/INST] [The:O, malware:B-Tool, may:O, inject:B-Way, itself:I-Way, into:O, browser:O, processes:O, and:O, explorer.exe: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 the last few weeks , FormBook was seen downloading other malware families such as NanoCore .' [/INST] [In:O, the:O, last:B-Time, few:I-Time, weeks:I-Time, ,:O, FormBook:B-SamFile, was:O, seen:O, downloading:O, other:O, malware:O, families:O, such:O, as:O, NanoCore: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: 'The vulnerability is bypassing most mitigations; however , as noted above , FireEye email and network products detect the malicious documents .' [/INST] [The:O, vulnerability:O, is:O, bypassing:O, most:O, mitigations;:O, however:O, ,:O, as:O, noted:O, above:O, ,:O, FireEye:B-SecTeam, email:O, and:O, network:O, products:O, detect:O, the:O, malicious:B-SamFile, documents: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: 'Through the exploitation of the HTA handler vulnerability described in CVE-2017-1099 , the observed RTF attachments download .' [/INST] [Through:O, the:O, exploitation:O, of:O, the:O, HTA:O, handler:O, vulnerability:O, described:O, in:O, CVE-2017-1099:B-Exp, ,:O, the:O, observed:O, RTF:B-SamFile, attachments:I-SamFile, download:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 May , the phishing lures leveraged RTF attachments that exploited the Microsoft Windows vulnerability described in CVE-2017-0199 .' [/INST] [In:O, early:O, May:B-Time, ,:O, the:O, phishing:B-Way, lures:I-Way, leveraged:O, RTF:B-SamFile, attachments:I-SamFile, that:O, exploited:O, the:O, Microsoft:O, Windows:O, vulnerability:O, described:O, in:O, CVE-2017-0199:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 their current campaign , APT32 has leveraged ActiveMime files that employ social engineering methods to entice the victim into enabling macros .' [/INST] [In:O, their:O, current:O, campaign:B-OffAct, ,:O, APT32:B-HackOrg, has:O, leveraged:O, ActiveMime:B-SamFile, files:I-SamFile, that:O, employ:O, social:B-Way, engineering:I-Way, methods:O, to:O, entice:O, the:O, victim:O, into:O, enabling:O, macros:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT32 actors continue to deliver the malicious attachments via spear-phishing emails .' [/INST] [APT32:B-HackOrg, actors:O, continue:O, to:O, deliver:O, the:O, malicious:B-SamFile, attachments:I-SamFile, via:O, spear-phishing:B-Way, emails:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT19 leveraged Rich Text Format (RTF) and macro-enabled Microsoft Excel files to deliver their initial exploits .' [/INST] [APT19:B-HackOrg, leveraged:O, Rich:O, Text:O, Format:O, (RTF):O, and:O, macro-enabled:O, Microsoft:B-SamFile, Excel:I-SamFile, files:I-SamFile, to:O, deliver:B-Purp, their:O, initial: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: 'Most of these data-stealing capabilities were present in the oldest variants of CARBANAK that we have seen and some were added over time .' [/INST] [Most:O, of:O, these:O, data-stealing:B-Purp, capabilities:O, were:O, present:O, in:O, the:O, oldest:O, variants:O, of:O, CARBANAK:B-SamFile, that:O, we:O, have:O, seen:O, and:O, some:O, were:O, added: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: 'February saw three particularly interesting publications on the topic of macOS malware: a Trojan Cocoa application that sends system information including keychain data back to the attacker , a macOS version of APT28’s Xagent malware , and a new Trojan ransomware .' [/INST] [February:B-Time, saw:O, three:O, particularly:O, interesting:O, publications:O, on:O, the:O, topic:O, of:O, macOS:O, malware::O, a:O, Trojan:O, Cocoa:O, application:O, that:O, sends:O, system:O, information:O, including:O, keychain:O, data:O, back:O, to:O, the:O, attacker:B-HackOrg, ,:O, a:O, macOS:O, version:O, of:O, APT28’s:B-HackOrg, Xagent:O, malware:O, ,:O, and:O, a:O, new:O, Trojan:B-SamFile, ransomware: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: 'As early as March 4 , 2017 , malicious documents exploiting CVE-2017-0199 were used to deliver the LATENTBOT malware .' [/INST] [As:O, early:O, as:O, March:B-Time, 4:I-Time, ,:O, 2017:B-Time, ,:O, malicious:B-SamFile, documents:I-SamFile, exploiting:O, CVE-2017-0199:B-Exp, were:O, used:O, to:O, deliver:O, the:O, LATENTBOT:B-Tool, malware: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 first , st07383.en17.docx , continues by utilizing 32 or 64 bit versions of CVE-2017-0001 to escalate privileges before executing a final JavaScript payload containing a malware implant known as SHIRIME .' [/INST] [The:O, first:O, ,:O, st07383.en17.docx:B-SamFile, ,:O, continues:O, by:O, utilizing:O, 32:O, or:O, 64:O, bit:O, versions:O, of:O, CVE-2017-0001:B-Exp, to:O, escalate:O, privileges:O, before:O, executing:O, a:O, final:O, JavaScript:O, payload:O, containing:O, a:O, malware:O, implant:O, known:O, as:O, SHIRIME: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: 'This vulnerability was found in a document named Trump's_Attack_on_Syria_English.docx” .' [/INST] [This:O, vulnerability:O, was:O, found:O, in:O, a:O, document:B-SamFile, named:O, Trump's_Attack_on_Syria_English.docx”:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 install and register the malicious shim database on a system , FIN7 used a custom Base64 encoded PowerShell script , which ran the sdbinst.exe” utility to register a custom shim database file containing a patch onto a system .' [/INST] [To:O, install:O, and:O, register:O, the:O, malicious:O, shim:O, database:O, on:O, a:O, system:O, ,:O, FIN7:B-HackOrg, used:O, a:O, custom:O, Base64:O, encoded:O, PowerShell:B-Tool, script:I-Tool, ,:O, which:O, ran:O, the:O, sdbinst.exe”:B-SamFile, utility:O, to:O, register:O, a:O, custom:O, shim:O, database:O, file:O, containing:O, a:O, patch:O, onto:O, a: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: 'During the investigations , Mandiant observed that FIN7 used a custom shim database to patch both the 32-bit and 64-bit versions of services.exe” with their CARBANAK payload .' [/INST] [During:O, the:O, investigations:O, ,:O, Mandiant:B-SecTeam, observed:O, that:O, FIN7:B-HackOrg, used:O, a:O, custom:O, shim:O, database:O, to:O, patch:O, both:O, the:O, 32-bit:O, and:O, 64-bit:O, versions:O, of:O, services.exe”:B-SamFile, with:O, their:O, CARBANAK:B-Tool, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We have not yet identified FIN7’s ultimate goal in this campaign , as we have either blocked the delivery of the malicious emails or our FaaS team detected and contained the attack early enough in the lifecycle before we observed any data targeting or theft .' [/INST] [We:O, have:O, not:O, yet:O, identified:O, FIN7’s:B-HackOrg, ultimate:O, goal:O, in:O, this:O, campaign:B-OffAct, ,:O, as:O, we:O, have:O, either:O, blocked:O, the:O, delivery:O, of:O, the:O, malicious:B-SamFile, emails:I-SamFile, or:O, our:O, FaaS:O, team:O, detected:O, and:O, contained:O, the:O, attack:O, early:O, enough:O, in:O, the:O, lifecycle:O, before:O, we:O, observed:O, any:O, data:O, targeting:O, or:O, theft:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 1 shows a sample phishing email used by HawkEye operators in this latest campaign .' [/INST] [Figure:O, 1:O, shows:O, a:O, sample:O, phishing:B-SamFile, email:I-SamFile, used:O, by:O, HawkEye:B-OffAct, operators:I-OffAct, in:O, this:O, latest:O, campaign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Many groups leverage the regsvr32.exe application whitelisting bypass , including APT19 in their 2017 campaign against law firms .' [/INST] [Many:O, groups:O, leverage:O, the:O, regsvr32.exe:B-SamFile, application:O, whitelisting:O, bypass:O, ,:O, including:O, APT19:B-HackOrg, in:O, their:O, 2017:B-Time, campaign:O, against:O, law:B-Org, firms:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware was initially distributed through a compromised software update system and then self-propagated through stolen credentials and SMB exploits , including the EternalBlue exploit used in the WannaCry attack from May 2017 .' [/INST] [The:O, malware:B-SamFile, was:O, initially:O, distributed:O, through:O, a:O, compromised:O, software:O, update:O, system:O, and:O, then:O, self-propagated:O, through:O, stolen:B-Way, credentials:I-Way, and:O, SMB:B-Way, exploits:I-Way, ,:O, including:O, the:O, EternalBlue:B-Tool, exploit:I-Tool, used:O, in:O, the:O, WannaCry:B-HackOrg, attack:O, from:O, May:B-Time, 2017: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 malware appends encrypted data files with the .WCRY extension , drops and executes a decryptor tool , and demands $300 or $600 USD (via Bitcoin) to decrypt the data .' [/INST] [The:O, malware:B-SamFile, appends:O, encrypted:O, data:O, files:O, with:O, the:O, .WCRY:B-SamFile, extension:I-SamFile, ,:O, drops:O, and:O, executes:O, a:O, decryptor:O, tool:O, ,:O, and:O, demands:O, $300:O, or:O, $600:O, USD:O, (via:O, Bitcoin):O, to:O, decrypt:O, the: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: 'The malware then builds two DLLs in memory – they are 32 and 64-bit DLLs that have identical functionality .' [/INST] [The:O, malware:B-SamFile, then:O, builds:O, two:O, DLLs:B-SamFile, in:O, memory:O, –:O, they:O, are:O, 32:O, and:O, 64-bit:O, DLLs:O, that:O, have:O, identical:O, functionality:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware continues by creating a service named mssecsvc2.0 with a binary path pointing to the running module with the arguments -m security .' [/INST] [The:O, malware:B-SamFile, continues:O, by:O, creating:O, a:O, service:O, named:O, mssecsvc2.0:B-SamFile, with:O, a:O, binary:O, path:O, pointing:O, to:O, the:O, running:O, module:O, with:O, the:O, arguments:O, -m:O, security:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware then writes the R resource data to the file C:\WINDOWS\tasksche.exe .' [/INST] [The:O, malware:B-SamFile, then:O, writes:O, the:O, R:O, resource:O, data:O, to:O, the:O, file:B-SamFile, C:\WINDOWS\tasksche.exe:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 usefulness of flare-qdb can be seen in cases such as loops dealing with strings .' [/INST] [The:O, usefulness:O, of:O, flare-qdb:B-SamFile, can:O, be:O, seen:O, in:O, cases:O, such:O, as:O, loops:B-Features, dealing:I-Features, with:O, strings:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 usefulness of flare-qdb can be seen in cases such as loops dealing with strings .' [/INST] [The:O, usefulness:O, of:O, flare-qdb:B-SamFile, can:O, be:O, seen:O, in:O, cases:O, such:O, as:O, loops:B-Features, dealing:I-Features, with:O, strings:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 usefulness of flare-qdb can be seen in cases such as loops dealing with strings .' [/INST] [The:O, usefulness:O, of:O, flare-qdb:B-SamFile, can:O, be:O, seen:O, in:O, cases:O, such:O, as:O, loops:B-Features, dealing:I-Features, with:O, strings:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attaching with IDA Pro via WinDbg as in Figure 11 shows that the program counter points to the infinite loop written in memory allocated by flare-qdb .' [/INST] [Attaching:O, with:O, IDA:B-SamFile, Pro:I-SamFile, via:O, WinDbg:B-SamFile, as:O, in:O, Figure:O, 11:O, shows:O, that:O, the:O, program:O, counter:O, points:O, to:O, the:O, infinite:O, loop:O, written:O, in:O, memory:O, allocated:O, by:O, flare-qdb:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We have also observed them using virtual private network services that use IPs based in numerous countries to ensure anonymity and obfuscate criminal operations .' [/INST] [We:O, have:O, also:O, observed:O, them:B-SamFile, using:B-Features, virtual:I-Features, private:I-Features, network:I-Features, services:I-Features, that:O, use:O, IPs:O, based:O, in:O, numerous:O, countries:O, to:O, ensure:B-Purp, anonymity:I-Purp, and:O, obfuscate:B-Purp, criminal:I-Purp, operations:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once downloaded and executed , it drops an intermediate payload that further downloads a Pony DLL and Vawtrak executable , which perform data theft and connect to a command and control (C2) server .' [/INST] [Once:O, downloaded:O, and:O, executed:O, ,:O, it:O, drops:O, an:O, intermediate:O, payload:O, that:O, further:O, downloads:O, a:O, Pony:B-SamFile, DLL:I-SamFile, and:O, Vawtrak:B-SamFile, executable:O, ,:O, which:O, perform:O, data:B-Features, theft:I-Features, and:O, connect:B-Features, to:O, a:O, command:B-Purp, and:O, control:B-Purp, (C2):I-Purp, server:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attachment in these emails is a weaponized Microsoft Office document containing a malicious macro that – when enabled – leads to the download of Hancitor .' [/INST] [The:O, attachment:O, in:O, these:O, emails:O, is:O, a:O, weaponized:O, Microsoft:B-Way, Office:I-Way, document:I-Way, containing:O, a:O, malicious:O, macro:O, that:O, –:O, when:O, enabled:O, –:O, leads:O, to:O, the:O, download:O, of:O, Hancitor: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: 'After the executable is executed , it downloads Pony and Vawtrak malware variants to steal data .' [/INST] [After:O, the:O, executable:O, is:O, executed:O, ,:O, it:O, downloads:O, Pony:B-SamFile, and:O, Vawtrak:B-SamFile, malware:O, variants:O, to:O, steal:B-Purp, data:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Upon execution , it will communicate with an attacker-controller website to download a variant of the Pony malware , pm.dll” along with a standard Vawtrak trojan .' [/INST] [Upon:O, execution:O, ,:O, it:O, will:O, communicate:O, with:O, an:O, attacker-controller:O, website:O, to:O, download:B-Features, a:O, variant:O, of:O, the:O, Pony:B-SamFile, malware:I-SamFile, ,:O, pm.dll”:B-SamFile, along:O, with:O, a:O, standard:O, Vawtrak:O, trojan:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this blog , FireEye Labs dissects this new ATM malware that we have dubbed RIPPER (due to the project name ATMRIPPER” identified in the sample) and documents indicators that strongly suggest this piece of malware is the one used to steal from the ATMs at banks in Thailand .' [/INST] [In:O, this:O, blog:O, ,:O, FireEye:B-SecTeam, Labs:O, dissects:O, this:O, new:O, ATM:B-SamFile, malware:I-SamFile, that:O, we:O, have:O, dubbed:O, RIPPER:B-SamFile, (due:O, to:O, the:O, project:O, name:O, ATMRIPPER”:O, identified:O, in:O, the:O, sample):O, and:O, documents:O, indicators:O, that:O, strongly:O, suggest:O, this:O, piece:O, of:O, malware:O, is:O, the:O, one:O, used:O, to:O, steal:O, from:O, the:O, ATMs:O, at:O, banks:B-Idus, in:O, Thailand: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: 'RIPPER interacts with the ATM by inserting a specially manufactured ATM card with an EMV chip that serves as the authentication mechanism .' [/INST] [RIPPER:B-SamFile, interacts:B-Features, with:I-Features, the:I-Features, ATM:I-Features, by:O, inserting:O, a:O, specially:O, manufactured:O, ATM:O, card:O, with:O, an:O, EMV:O, chip:O, that:O, serves:O, as:O, the:O, authentication:O, mechanism:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'RIPPER will examine the contents of directories associated with the targeted ATM vendors and will replace legitimate executables with itself .' [/INST] [RIPPER:B-SamFile, will:O, examine:B-Features, the:O, contents:O, of:O, directories:O, associated:O, with:O, the:O, targeted:O, ATM:B-Org, vendors:I-Org, and:O, will:O, replace:B-Features, legitimate:I-Features, executables:I-Features, with:O, itself:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malware family can be used to compromise multiple vendor platforms and leverages uncommon technology to access physical devices .' [/INST] [This:O, malware:B-SamFile, family:O, can:O, be:O, used:O, to:O, compromise:B-Features, multiple:I-Features, vendor:I-Features, platforms:I-Features, and:O, leverages:B-Features, uncommon:I-Features, technology:I-Features, to:O, access:O, physical:O, devices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'From our trend analysis seen in Figure 3 , Locky ransomware started being delivered via DOCM format email attachments more extensively beginning in August .' [/INST] [From:O, our:O, trend:O, analysis:O, seen:O, in:O, Figure:O, 3:O, ,:O, Locky:B-SamFile, ransomware:O, started:O, being:O, delivered:B-Features, via:O, DOCM:O, format:O, email:O, attachments:O, more:O, extensively:O, beginning:O, in:O, August: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: 'Discovered for the first time in Mexico back in 2013 , Ploutus enabled criminals to empty ATMs using either an external keyboard attached to the machine or via SMS message , a technique that had never been seen before .' [/INST] [Discovered:O, for:O, the:O, first:O, time:O, in:O, Mexico:B-Area, back:O, in:O, 2013:B-Time, ,:O, Ploutus:B-SamFile, enabled:O, criminals:O, to:O, empty:B-Features, ATMs:I-Features, using:O, either:O, an:O, external:O, keyboard:O, attached:O, to:O, the:O, machine:O, or:O, via:B-Features, SMS:I-Features, message:I-Features, ,:O, a:O, technique:O, that:O, had:O, never:O, been:O, seen:O, before:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye Labs recently identified a previously unobserved version of Ploutus , dubbed Ploutus-D , that interacts with KAL’s Kalignite multivendor ATM platform .' [/INST] [FireEye:B-SecTeam, Labs:O, recently:O, identified:O, a:O, previously:O, unobserved:O, version:O, of:O, Ploutus:B-SamFile, ,:O, dubbed:O, Ploutus-D:B-SamFile, ,:O, that:O, interacts:B-Features, with:O, KAL’s:O, Kalignite:O, multivendor:O, ATM:O, platform:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The samples we identified target the ATM vendor Diebold .' [/INST] [The:O, samples:B-SamFile, we:O, identified:O, target:O, the:O, ATM:B-Org, vendor:I-Org, Diebold: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: 'This blog covers the changes , improvements , and Indicators of Compromise (IOC) of Ploutus-D in order to help financial organizations identify and defend against this threat .' [/INST] [This:O, blog:O, covers:O, the:O, changes:O, ,:O, improvements:O, ,:O, and:O, Indicators:O, of:O, Compromise:O, (IOC):O, of:O, Ploutus-D:B-SamFile, in:O, order:O, to:O, help:O, financial:B-Idus, organizations:O, identify:O, and:O, defend:O, against:O, this: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: 'Ploutus-D also allows the attackers to enter the amount to withdraw (billUnits – 4 digits) and the number of cycles (billCount – 2 digits) to repeat the dispensing operation (see Figure 10) .' [/INST] [Ploutus-D:B-SamFile, also:O, allows:O, the:O, attackers:B-HackOrg, to:O, enter:O, the:O, amount:O, to:O, withdraw:O, (billUnits:O, –:O, 4:O, digits):O, and:O, the:O, number:O, of:O, cycles:O, (billCount:O, –:O, 2:O, digits):O, to:O, repeat:O, the:O, dispensing:O, operation:O, (see:O, Figure:O, 10):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ploutus-D will load KXCashDispenserLib” library implemented by Kalignite Platform (K3A.Platform.dll) to interact with the XFS Manager and control the Dispenser (see Figure 13) .' [/INST] [Ploutus-D:B-SamFile, will:O, load:O, KXCashDispenserLib”:O, library:O, implemented:O, by:O, Kalignite:O, Platform:O, (K3A.Platform.dll):B-SamFile, to:O, interact:B-Purp, with:O, the:O, XFS:O, Manager:O, and:O, control:O, the:O, Dispenser:O, (see:O, Figure:O, 13):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Ploutus-D interacts with the Kalignite Platform , only minor modifications to the Ploutus-D code may be required to target different ATM vendors worldwide .' [/INST] [Since:O, Ploutus-D:B-SamFile, interacts:O, with:O, the:O, Kalignite:O, Platform:O, ,:O, only:O, minor:O, modifications:O, to:O, the:O, Ploutus-D:B-SamFile, code:O, may:O, be:O, required:O, to:O, target:O, different:O, ATM:B-Org, vendors:I-Org, 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: 'The threat actors used two publicly available techniques , an AppLocker whitelisting bypass and a script to inject shellcode into the userinit.exe process .' [/INST] [The:O, threat:O, actors:B-HackOrg, used:O, two:O, publicly:O, available:O, techniques:O, ,:O, an:O, AppLocker:O, whitelisting:O, bypass:O, and:O, a:O, script:O, to:O, inject:B-Way, shellcode:I-Way, into:O, the:O, userinit.exe:B-SamFile, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The regsvr32.exe executable can be used to download a Windows Script Component file (SCT file) by passing the URL of the SCT file as an argument .' [/INST] [The:O, regsvr32.exe:B-SamFile, executable:O, can:O, be:O, used:O, to:O, download:O, a:O, Windows:O, Script:O, Component:O, file:O, (SCT:O, file):O, by:O, passing:O, the:O, URL:O, of:O, the:O, SCT:B-SamFile, file:I-SamFile, as:O, an:O, argument:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 observed implementation of this bypass in the macro code to invoke regsvr32.exe , along with a URL passed to it which was hosting a malicious SCT file .' [/INST] [We:O, observed:O, implementation:O, of:O, this:O, bypass:O, in:O, the:O, macro:O, code:O, to:O, invoke:O, regsvr32.exe:B-SamFile, ,:O, along:O, with:O, a:O, URL:O, passed:O, to:O, it:O, which:O, was:O, hosting:O, a:O, malicious:O, SCT:B-SamFile, file: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: 'There was code to download a decoy document from the Internet and open it in a second winword.exe process using the Start-Process cmdlet .' [/INST] [There:O, was:O, code:O, to:O, download:O, a:O, decoy:O, document:O, from:O, the:O, Internet:O, and:O, open:O, it:O, in:O, a:O, second:O, winword.exe:B-SamFile, process:O, using:O, the:O, Start-Process:B-SamFile, cmdlet: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: 'Ordnance will be able to immediately generate shellcode after users provide the IP and Port that the shellcode should connect to or listen on .' [/INST] [Ordnance:B-SamFile, will:O, be:O, able:O, to:O, immediately:O, generate:O, shellcode:O, after:O, users:O, provide:O, the:O, IP:O, and:O, Port:O, that:O, the:O, shellcode:B-SamFile, should:O, connect:O, to:O, or:O, listen:O, on:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'DarkPulsar is a very interesting administrative module for controlling a passive backdoor named ' sipauth32.tsp ' that provides remote control , belonging to this category .' [/INST] [DarkPulsar:B-Tool, is:O, a:O, very:O, interesting:O, administrative:O, module:O, for:O, controlling:O, a:O, passive:O, backdoor:B-Tool, named:O, ':O, sipauth32.tsp:B-SamFile, ':O, that:O, provides:B-Purp, remote:I-Purp, control:I-Purp, ,:O, belonging:O, to:O, this:O, category:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One of them – ipv4.dll – has been placed by the APT with what is , in fact , a downloader for other malicious components .' [/INST] [One:O, of:O, them:O, –:O, ipv4.dll:B-SamFile, –:O, has:O, been:O, placed:O, by:O, the:O, APT:O, with:O, what:O, is:O, ,:O, in:O, fact:O, ,:O, a:O, downloader:B-Tool, for:O, other:O, malicious:O, components:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Written in pure C language , Canhadr/Ndriver provides full access to the hard drive and operating memory despite device security restrictions , and carries out integrity control of various system components to avoid debugging and security detection .' [/INST] [Written:O, in:O, pure:O, C:O, language:O, ,:O, Canhadr/Ndriver:B-SamFile, provides:B-Features, full:I-Features, access:I-Features, to:O, the:O, hard:O, drive:O, and:O, operating:O, memory:O, despite:O, device:O, security:O, restrictions:O, ,:O, and:O, carries:B-Features, out:I-Features, integrity:I-Features, control:I-Features, of:O, various:O, system:O, components:O, to:O, avoid:O, debugging:O, and:O, security:O, detection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 observed in mid-2014 , this malware shared code with the Bugat ( aka Feodo ) banking Trojan .' [/INST] [First:O, observed:O, in:O, mid-2014:B-Time, ,:O, this:O, malware:O, shared:O, code:O, with:O, the:O, Bugat:B-SamFile, (:O, aka:O, Feodo:O, ):O, banking:B-Tool, Trojan: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: 'In all emails sent to these government officials , the actor used the same attachment : a malicious Microsoft Word document that exploited the CVE-2012-0158 vulnerability to drop a malicious payload .' [/INST] [In:O, all:O, emails:B-Way, sent:O, to:O, these:O, government:B-Org, officials:I-Org, ,:O, the:O, actor:O, used:O, the:O, same:O, attachment:O, ::O, a:O, malicious:B-SamFile, Microsoft:I-SamFile, Word:I-SamFile, document:I-SamFile, that:O, exploited:O, the:O, CVE-2012-0158:B-Exp, vulnerability:O, to:O, drop:O, a:O, malicious:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Despite being an older vulnerability , many threat actors continue to leverage CVE-2012-0158 to exploit Microsoft Word .' [/INST] [Despite:O, being:O, an:O, older:O, vulnerability:O, ,:O, many:O, threat:O, actors:O, continue:O, to:O, leverage:O, CVE-2012-0158:B-Exp, to:O, exploit:O, Microsoft:B-SamFile, Word: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: 'Whitefly first infects its victims using a dropper in the form of a malicious.exe or .dll file that is disguised as a document or image .' [/INST] [Whitefly:B-HackOrg, first:O, infects:O, its:O, victims:O, using:O, a:O, dropper:B-Tool, in:O, the:O, form:O, of:O, a:O, malicious.exe:B-SamFile, or:O, .dll:B-SamFile, file:I-SamFile, that:O, is:O, disguised:O, as:O, a:O, document:O, or:O, image:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CraP2P has frequently been used to distribute other malware such as Locky and Dridex , but also supported large scale spam campaigns for dating advertisement and pump-and-dump scams after the demise of Kelihos .' [/INST] [CraP2P:B-SamFile, has:O, frequently:O, been:O, used:O, to:O, distribute:O, other:O, malware:O, such:O, as:O, Locky:B-Tool, and:O, Dridex:B-Tool, ,:O, but:O, also:O, supported:O, large:O, scale:O, spam:B-OffAct, campaigns:I-OffAct, for:O, dating:O, advertisement:O, and:O, pump-and-dump:O, scams:O, after:O, the:O, demise:O, of:O, Kelihos:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once the LOWBALL malware calls back to the Dropbox account , the admin@338 will create a file called upload.bat which contains commands to be executed on the compromised computer .' [/INST] [Once:O, the:O, LOWBALL:B-Tool, malware:I-Tool, calls:O, back:O, to:O, the:O, Dropbox:O, account:O, ,:O, the:O, admin@338:B-HackOrg, will:O, create:O, a:O, file:O, called:O, upload.bat:B-SamFile, which:O, contains:O, commands:O, to:O, be:O, executed:O, on:O, the:O, compromised: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: 'In 2014 , APT32 leveraged a spear-phishing attachment titled , Plans to crackdown on protesters at the Embassy of Vietnam.exe , , which targeted dissident activity among the Vietnamese diaspora in Southeast Asia .' [/INST] [In:O, 2014:B-Time, ,:O, APT32:B-HackOrg, leveraged:O, a:O, spear-phishing:B-Way, attachment:I-Way, titled:O, ,:O, Plans:O, to:O, crackdown:O, on:O, protesters:O, at:O, the:O, Embassy:O, of:O, Vietnam.exe:B-SamFile, ,:O, ,:O, which:O, targeted:O, dissident:O, activity:B-OffAct, among:O, the:O, Vietnamese:B-Area, diaspora:B-Org, in:O, Southeast:B-Area, Asia:I-Area, .:O] </s> |
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