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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: 'Buried among this new treasure trove , there are several mentions of previously disclosed NSA top secret programs and software such as , STRAITBIZARRE , , used to control implants remotely , and , JEEPFLEA , , a project to hack the money transferring system SWIFT .' [/INST] [Buried:O, among:O, this:O, new:O, treasure:O, trove:B-Tool, ,:O, there:O, are:O, several:O, mentions:O, of:O, previously:O, disclosed:O, NSA:B-Org, top:O, secret:O, programs:O, and:O, software:O, such:O, as:O, ,:O, STRAITBIZARRE:B-Tool, ,:O, ,:O, used:O, to:O, control:O, implants:O, remotely:O, ,:O, and:O, ,:O, JEEPFLEA:B-Tool, ,:O, ,:O, a:O, project:O, to:O, hack:O, the:O, money:O, transferring:O, system:O, SWIFT:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Shadow Brokers have long claimed that the tools they release are from the , Equation Group , , the name of a government hacking group outed by Kaspersky Lab in 2015 , which is widely believed to be the NSA .' [/INST] [The:O, Shadow:B-HackOrg, Brokers:I-HackOrg, have:O, long:O, claimed:O, that:O, the:O, tools:O, they:O, release:O, are:O, from:O, the:O, ,:O, Equation:O, Group:O, ,:O, ,:O, the:O, name:O, of:O, a:O, government:O, hacking:O, group:O, outed:O, by:O, Kaspersky:B-SecTeam, Lab:I-SecTeam, in:O, 2015:B-Time, ,:O, which:O, is:O, widely:O, believed:O, to:O, be:O, the:O, NSA: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: 'Recently , FireEye released a great report on one of the more active groups , now known as APT30 .' [/INST] [Recently:O, ,:O, FireEye:B-SecTeam, released:O, a:O, great:O, report:O, on:O, one:O, of:O, the:O, more:O, active:O, groups:O, ,:O, now:O, known:O, as:O, APT30: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 addition , Kaspersky discovered that the Winnti group uses a popular backdoor known as PlugX which also has Chinese origins .' [/INST] [In:O, addition:O, ,:O, Kaspersky:B-SecTeam, discovered:O, that:O, the:O, Winnti:B-HackOrg, group:O, uses:O, a:O, popular:O, backdoor:O, known:O, as:O, PlugX:B-Tool, which:O, also:O, has:O, Chinese:B-Area, origins:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 work published by security vendor FireEye in October 2014 suggests APT28 might be of Russian origin .' [/INST] [Previous:O, work:O, published:O, by:O, security:O, vendor:O, FireEye:B-SecTeam, in:O, October:B-Time, 2014:I-Time, suggests:O, APT28:B-HackOrg, might:O, be:O, of:O, Russian:B-Area, origin:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 publishing our initial series of blogposts back in 2016 , Kaspersky has continued to track the ScarCruft threat actor .' [/INST] [After:O, publishing:O, our:O, initial:O, series:O, of:O, blogposts:O, back:O, in:O, 2016:B-Time, ,:O, Kaspersky:B-SecTeam, has:O, continued:O, to:O, track:O, the:O, ScarCruft: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: 'Based on the ScarCruft’s recent activities , Kaspersky strongly believes that this ScarCruft group is likely to continue to evolve .' [/INST] [Based:O, on:O, the:O, ScarCruft’s:B-HackOrg, recent:O, activities:O, ,:O, Kaspersky:B-SecTeam, strongly:O, believes:O, that:O, this:O, ScarCruft:B-HackOrg, group:O, is:O, likely:O, to:O, continue:O, to:O, evolve:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 an interesting piece of rare malware created by this threat actor ScarCruft .' [/INST] [Kaspersky:B-SecTeam, also:O, discovered:O, an:O, interesting:O, piece:O, of:O, rare:O, malware:O, created:O, by:O, this:O, threat:O, actor:O, ScarCruft: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 witnessed the ScarCruft threat actor extensively testing a known public exploit during its preparation for the next campaign .' [/INST] [Kaspersky:B-SecTeam, witnessed:O, the:O, ScarCruft:B-HackOrg, threat:O, actor:O, extensively:O, testing:O, a:O, known:O, public:O, exploit:O, during:O, its:O, preparation:O, for:O, the:O, next: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: 'Based on our telemetry , Kaspersky can reassemble ScarCruft’s binary infection procedure .' [/INST] [Based:O, on:O, our:O, telemetry:O, ,:O, Kaspersky:B-SecTeam, can:O, reassemble:O, ScarCruft’s:B-HackOrg, binary:O, infection:O, procedure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , Kaspersky analyzed the victims of this campaign and spotted an interesting overlap of this campaign with another APT actor known as DarkHotel .' [/INST] [In:O, addition:O, ,:O, Kaspersky:B-SecTeam, analyzed:O, the:O, victims:O, of:O, this:O, campaign:O, and:O, spotted:O, an:O, interesting:O, overlap:O, of:O, this:O, campaign:O, with:O, another:O, APT:O, actor:O, known:O, as:O, DarkHotel: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: 'Secureworks researchers investigated activities associated with the BRONZE BUTLER (also known as Tick) threat group , which likely originates in the People .' [/INST] [Secureworks:B-SecTeam, researchers:O, investigated:O, activities:O, associated:O, with:O, the:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, (also:O, known:O, as:O, Tick):O, threat:O, group:O, ,:O, which:O, likely:O, originates:O, in:O, the:O, People:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , an investigation by Symantec has found that Butterfly has been active since at least March 2012 and its attacks have not only continued to the present day , but have also increased in number .' [/INST] [However:O, ,:O, an:O, investigation:O, by:O, Symantec:B-SecTeam, has:O, found:O, that:O, Butterfly:B-HackOrg, has:O, been:O, active:O, since:O, at:O, least:O, March:B-Time, 2012:I-Time, and:O, its:O, attacks:O, have:O, not:O, only:O, continued:O, to:O, the:O, present:O, day:O, ,:O, but:O, have:O, also:O, increased:O, in:O, number:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 assesses with high confidence that Group 123 was responsible for six campaigns .' [/INST] [Talos:B-SecTeam, assesses:O, with:O, high:O, confidence:O, that:O, Group:B-HackOrg, 123:I-HackOrg, was:O, responsible:O, for:O, six:O, 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: 'Attacks launched by Scarlet Mimic were publicly exposed on 2013 in a Trend Micro report about the FakeM Trojan .' [/INST] [Attacks:O, launched:O, by:O, Scarlet:B-HackOrg, Mimic:I-HackOrg, were:O, publicly:O, exposed:O, on:O, 2013:B-Time, in:O, a:O, Trend:B-SecTeam, Micro:I-SecTeam, report:O, about:O, the:O, FakeM:B-Tool, Trojan: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: 'Finally , Talos identified a 6th campaign that is also linked to Group 123 .' [/INST] [Finally:O, ,:O, Talos:B-SecTeam, identified:O, a:O, 6th:O, campaign:O, that:O, is:O, also:O, linked:O, to:O, Group:B-HackOrg, 123: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: 'As Talos observed at the beginning of 2017 , Group 123 started a campaign corresponding with the new year in 2018 .' [/INST] [As:O, Talos:B-SecTeam, observed:O, at:O, the:O, beginning:O, of:O, 2017:B-Time, ,:O, Group:B-HackOrg, 123:I-HackOrg, started:O, a:O, campaign:O, corresponding:O, with:O, the:O, new:O, year:O, in:O, 2018: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: 'Last month , researchers at Kaspersky reported on a Lazarus APT campaign targeting both macOS and Windows users .' [/INST] [Last:B-Time, month:I-Time, ,:O, researchers:O, at:O, Kaspersky:B-SecTeam, reported:O, on:O, a:O, Lazarus:B-HackOrg, APT:O, campaign:O, targeting:O, both:O, macOS:O, and:O, Windows:O, users:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cylance uncovered several bespoke backdoors deployed by the OceanLotus APT Group a.k.a APT32 , Cobalt Kitty .' [/INST] [Cylance:B-SecTeam, uncovered:O, several:O, bespoke:O, backdoors:O, deployed:O, by:O, the:O, OceanLotus:B-HackOrg, APT:O, Group:O, a.k.a:O, APT32:B-HackOrg, ,:O, Cobalt:B-HackOrg, Kitty: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: 'While continuing to monitor activity of the OceanLotus APT Group , Cylance researchers uncovered a novel payload loader that utilizes steganography to read an encrypted payload concealed within a .png image file .' [/INST] [While:O, continuing:O, to:O, monitor:O, activity:O, of:O, the:O, OceanLotus:B-HackOrg, APT:O, Group:O, ,:O, Cylance:B-SecTeam, researchers:O, uncovered:O, a:O, novel:O, payload:O, loader:O, that:O, utilizes:O, steganography:O, to:O, read:O, an:O, encrypted:O, payload:O, concealed:O, within:O, a:O, .png:O, image:O, file:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Gobelin Panda , a.k.a Goblin Panda , is a group that has been identified by CrowdStrike as a Chinese threat actor .' [/INST] [Gobelin:B-HackOrg, Panda:I-HackOrg, ,:O, a.k.a:O, Goblin:B-HackOrg, Panda:I-HackOrg, ,:O, is:O, a:O, group:O, that:O, has:O, been:O, identified:O, by:O, CrowdStrike:B-SecTeam, as:O, a:O, Chinese:B-Area, 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: 'CrowdStrike observed Goblin Panda activity spike as tensions among South China Sea nations has risen .' [/INST] [CrowdStrike:B-SecTeam, observed:O, Goblin:B-HackOrg, Panda:I-HackOrg, activity:O, spike:O, as:O, tensions:O, among:O, South:B-Area, China:I-Area, Sea:O, nations:O, has:O, risen:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 confirms Tropic Trooper is using Poison Ivy as part of their toolkit , something speculated in the original Trend Micro report but not confirmed by them .' [/INST] [This:O, confirms:O, Tropic:B-HackOrg, Trooper:I-HackOrg, is:O, using:O, Poison:B-Tool, Ivy:I-Tool, as:O, part:O, of:O, their:O, toolkit:O, ,:O, something:O, speculated:O, in:O, the:O, original:O, Trend:B-SecTeam, Micro:I-SecTeam, report:O, but:O, not:O, confirmed:O, by:O, them:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2018 blogpost , ESET researchers predicted that Turla would use more and more generic tools .' [/INST] [In:O, a:O, 2018:B-Time, blogpost:O, ,:O, ESET:B-SecTeam, researchers:O, predicted:O, that:O, Turla:B-HackOrg, would:O, use:O, more:O, and:O, more:O, generic:O, tools:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 will continue monitoring new Turla activities and will publish relevant information on our blog .' [/INST] [ESET:B-SecTeam, researchers:O, will:O, continue:O, monitoring:O, new:O, Turla:B-HackOrg, activities:O, and:O, will:O, publish:O, relevant:O, information:O, on:O, our:O, blog:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 analyze new TTPs attributed to the Turla group that leverage PowerShell to run malware in-memory only .' [/INST] [ESET:B-SecTeam, researchers:O, analyze:O, new:O, TTPs:O, attributed:O, to:O, the:O, Turla:B-HackOrg, group:O, that:O, leverage:O, PowerShell:B-Tool, to:O, run:O, malware:O, in-memory:O, only:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 have been tracking the malicious activities related to the Ke3chang group .' [/INST] [ESET:B-SecTeam, have:O, been:O, tracking:O, the:O, malicious:O, activities:O, related:O, to:O, the:O, Ke3chang: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: 'According to Kaspersky Lab’s report , NetTraveler has been active since as early as 2004; however , the highest volume of activity occurred from 2010 – 2013 .' [/INST] [According:O, to:O, Kaspersky:B-SecTeam, Lab’s:O, report:O, ,:O, NetTraveler:B-HackOrg, has:O, been:O, active:O, since:O, as:O, early:O, as:O, 2004;:B-Time, however:O, ,:O, the:O, highest:O, volume:O, of:O, activity:O, occurred:O, from:O, 2010:B-Time, –:O, 2013:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Kaspersky Lab’s experts calculated the amount of stolen data stored on NetTraveler’s C&C servers to be more than 22 gigabytes .' [/INST] [Kaspersky:B-SecTeam, Lab’s:O, experts:O, calculated:O, the:O, amount:O, of:O, stolen:O, data:O, stored:O, on:O, NetTraveler’s:B-HackOrg, C&C:O, servers:O, to:O, be:O, more:O, than:O, 22:O, gigabytes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 believes the Ke3chang attackers likely began attempting to exfiltrate sensitive data shortly thereafter .' [/INST] [FireEye:B-SecTeam, believes:O, the:O, Ke3chang:B-HackOrg, attackers:O, likely:O, began:O, attempting:O, to:O, exfiltrate:O, sensitive:O, data:O, shortly:O, thereafter:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 details some of the technical findings of the Lazarus Group’s malware , observed by Novetta during Operation Blockbuster .' [/INST] [This:O, report:O, details:O, some:O, of:O, the:O, technical:O, findings:O, of:O, the:O, Lazarus:B-HackOrg, Group’s:O, malware:O, ,:O, observed:O, by:O, Novetta:B-SecTeam, during:O, Operation:B-SecTeam, Blockbuster: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: 'The Lazarus Group was first identified in Novetta’s report Operation Blockbuster in February 2016 .' [/INST] [The:O, Lazarus:B-HackOrg, Group:O, was:O, first:O, identified:O, in:O, Novetta’s:B-SecTeam, report:O, Operation:B-OffAct, Blockbuster:I-OffAct, in:O, February:B-Time, 2016:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye has not identified APT33 using SHAPESHIFT , but APT33 is the only group FireEye has seen to use DROPSHOT .' [/INST] [FireEye:B-SecTeam, has:O, not:O, identified:O, APT33:B-HackOrg, using:O, SHAPESHIFT:B-Tool, ,:O, but:O, APT33:B-HackOrg, is:O, the:O, only:O, group:O, FireEye:B-SecTeam, has:O, seen:O, to:O, use:O, DROPSHOT: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: 'In 2018 , Kaspersky Labs published a report that analyzed Turla threat group .' [/INST] [In:O, 2018:B-Time, ,:O, Kaspersky:B-SecTeam, Labs:O, published:O, a:O, report:O, that:O, analyzed:O, Turla:B-HackOrg, threat:O, 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: 'Starting in February 2018 , Palo Alto identified a campaign of attacks performed by members of Gorgon Group targeting governmental organizations in the United Kingdom , Spain , Russia , and the United States .' [/INST] [Starting:O, in:O, February:B-Time, 2018:I-Time, ,:O, Palo:B-SecTeam, Alto:I-SecTeam, identified:O, a:O, campaign:O, of:O, attacks:O, performed:O, by:O, members:O, of:O, Gorgon:B-HackOrg, Group:I-HackOrg, targeting:O, governmental:B-Org, organizations:I-Org, in:O, the:O, United:B-Area, Kingdom:I-Area, ,:O, Spain:B-Area, ,:O, Russia:B-Area, ,:O, and:O, the:B-Area, United:I-Area, States: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: 'Proofpoint researchers have observed a well-known Russian-speaking APT actor usually referred to as Turla using a new .NET/MSIL dropper for an existing backdoor called JS/KopiLuwak .' [/INST] [Proofpoint:B-SecTeam, researchers:O, have:O, observed:O, a:O, well-known:O, Russian-speaking:B-Area, APT:O, actor:O, usually:O, referred:O, to:O, as:O, Turla:B-HackOrg, using:O, a:O, new:O, .NET/MSIL:O, dropper:B-Tool, for:O, an:O, existing:O, backdoor:O, called:O, JS/KopiLuwak: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: 'Insikt Group investigated the domain and hosting infrastructure used by the APT33 group .' [/INST] [Insikt:B-SecTeam, Group:I-SecTeam, investigated:O, the:O, domain:O, and:O, hosting:O, infrastructure:O, used:O, by:O, the:O, APT33: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: 'Symantec tracks the group behind this activity as Blackfly and detects the malware they use as Backdoor.Winnti .' [/INST] [Symantec:B-SecTeam, tracks:O, the:O, group:O, behind:O, this:O, activity:O, as:O, Blackfly:B-HackOrg, and:O, detects:O, the:O, malware:O, they:O, use:O, as:O, Backdoor.Winnti: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: 'As shown within the timeline above , the WINDSHIFT activity observed by Unit 42 falls between January and May of 2018 .' [/INST] [As:O, shown:O, within:O, the:O, timeline:O, above:O, ,:O, the:O, WINDSHIFT:B-OffAct, activity:I-OffAct, observed:O, by:O, Unit:B-SecTeam, 42:I-SecTeam, falls:O, between:O, January:B-Time, and:O, May:B-Time, of:O, 2018: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: 'Symantec discovered Suckfly , an advanced threat group , conducting targeted attacks using multiple stolen certificates , as well as hacktools and custom malware .' [/INST] [Symantec:B-SecTeam, discovered:O, Suckfly:B-HackOrg, ,:O, an:O, advanced:O, threat:O, group:O, ,:O, conducting:O, targeted:O, attacks:O, using:O, multiple:O, stolen:B-Way, certificates:I-Way, ,:O, as:O, well:O, as:O, hacktools:B-Tool, and:O, custom:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In April Novetta released its excellent report on the Winnti malware spotted in the operations of Axiom group .' [/INST] [In:O, April:B-Time, Novetta:B-SecTeam, released:O, its:O, excellent:O, report:O, on:O, the:O, Winnti:B-HackOrg, malware:O, spotted:O, in:O, the:O, operations:O, of:O, Axiom: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: 'A few days ago , Symantec discovered a new document that appears to be part of the ongoing BlackEnergy APT group attacks against Ukraine .' [/INST] [A:O, few:O, days:O, ago:O, ,:O, Symantec:B-SecTeam, discovered:O, a:O, new:O, document:O, that:O, appears:O, to:O, be:O, part:O, of:O, the:O, ongoing:O, BlackEnergy:B-HackOrg, APT:O, group:O, attacks:O, against:O, Ukraine: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: 'While analyzing a campaign run by the Gamaredon group , FortiGuard Labs discovered the tools they used to prepare the attack and found artifacts left behind by the actors that allowed us to perform a large amount of forensic analysis .' [/INST] [While:O, analyzing:O, a:O, campaign:O, run:O, by:O, the:O, Gamaredon:B-HackOrg, group:O, ,:O, FortiGuard:B-SecTeam, Labs:I-SecTeam, discovered:O, the:O, tools:O, they:O, used:O, to:O, prepare:O, the:O, attack:O, and:O, found:O, artifacts:O, left:O, behind:O, by:O, the:O, actors:B-HackOrg, that:O, allowed:O, us:O, to:O, perform:O, a:O, large:O, amount:O, of:O, forensic:O, analysis:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , Unit 42 provides details of the tools and tactics we observed on these compromised SharePoint servers , explain how we believe these connect to the Emissary Panda threat group .' [/INST] [In:O, this:O, blog:O, ,:O, Unit:B-SecTeam, 42:I-SecTeam, provides:O, details:O, of:O, the:O, tools:O, and:O, tactics:O, we:O, observed:O, on:O, these:O, compromised:O, SharePoint:B-Tool, servers:I-Tool, ,:O, explain:O, how:O, we:O, believe:O, these:O, connect:O, to:O, the:O, Emissary:B-HackOrg, Panda:I-HackOrg, threat:O, 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: 'QiAnXin identified this APT group coded as ‘APT-C-35’ in 2017 , who is mainly targeting Pakistan and other South Asian countries for cyber espionage .' [/INST] [QiAnXin:B-SecTeam, identified:O, this:O, APT:O, group:O, coded:O, as:O, ‘APT-C-35’:B-HackOrg, in:O, 2017:B-Time, ,:O, who:O, is:O, mainly:O, targeting:O, Pakistan:B-HackOrg, and:O, other:O, South:B-Area, Asian:I-Area, countries:O, for:O, cyber:O, espionage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers assess with moderate confidence that APT28 is operating from the Russian Federation and is gathering intelligence on behalf of the Russian government .' [/INST] [CTU:B-SecTeam, researchers:O, assess:O, with:O, moderate:O, confidence:O, that:O, APT28:B-HackOrg, is:O, operating:O, from:O, the:O, Russian:B-Area, Federation:O, and:O, is:O, gathering:O, intelligence:O, on:O, behalf:O, of:O, the:O, Russian:B-Org, government: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: 'It is worth noting that during our investigation f-secure uncovered links between infrastructure associated with the Callisto Group and infrastructure used to host online stores selling controlled substances .' [/INST] [It:O, is:O, worth:O, noting:O, that:O, during:O, our:O, investigation:O, f-secure:O, uncovered:O, links:O, between:O, infrastructure:O, associated:O, with:O, the:O, Callisto:B-HackOrg, Group:O, and:O, infrastructure:O, used:O, to:O, host:O, online:O, stores:O, selling:B-Purp, controlled:O, substances:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Unit 42 have observed throughout our tracking of the OilRig group , adopting proven tactics has been a common behavior over time .' [/INST] [As:O, Unit:B-SecTeam, 42:I-SecTeam, have:O, observed:O, throughout:O, our:O, tracking:O, of:O, the:O, OilRig:B-HackOrg, group:O, ,:O, adopting:O, proven:O, tactics:O, has:O, been:O, a:O, common:O, behavior:O, over:O, time:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The OceanLotus group was first revealed and named by QiAnXin in May 2015 .' [/INST] [The:O, OceanLotus:B-HackOrg, group:O, was:O, first:O, revealed:O, and:O, named:O, by:O, QiAnXin:B-SecTeam, in:O, May:B-Time, 2015: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 OceanLotus , an APT group said to have a Vietnamese background , was first exposed and named by QiAnXin in May 2015 .' [/INST] [The:O, OceanLotus:B-HackOrg, ,:O, an:O, APT:O, group:O, said:O, to:O, have:O, a:O, Vietnamese:B-Area, background:O, ,:O, was:O, first:O, exposed:O, and:O, named:O, by:O, QiAnXin:B-SecTeam, in:O, May:B-Time, 2015: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 QiAnXin keeps a close eye on activities made by OceanLotus .' [/INST] [The:O, QiAnXin:B-SecTeam, keeps:O, a:O, close:O, eye:O, on:O, activities:O, made:O, by:O, OceanLotus: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: 'Donot , named and tracked by PatchSky , is an attack group that mainly targets countries such as Pakistan in South Asia .' [/INST] [Donot:B-HackOrg, ,:O, named:O, and:O, tracked:O, by:O, PatchSky:B-SecTeam, ,:O, is:O, an:O, attack:O, group:O, that:O, mainly:O, targets:O, countries:O, such:O, as:O, Pakistan:B-Area, in:O, South: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: 'After investigation , QiAnXin suspect this attack is carried out by Molerats .' [/INST] [After:O, investigation:O, ,:O, QiAnXin:B-SecTeam, suspect:O, this:O, attack:B-OffAct, is:O, carried:O, out:O, by:O, Molerats: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 June 2017 , QiAnXin discovered new malware used by Molerats .' [/INST] [In:O, June:B-Time, 2017:I-Time, ,:O, QiAnXin:B-SecTeam, discovered:O, new:O, malware:O, used:O, by:O, Molerats: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: 'Last month , QiAnXin captured multiple phishing emails sent by TA505 Group to target financial institutions .' [/INST] [Last:B-Time, month:I-Time, ,:O, QiAnXin:B-SecTeam, captured:O, multiple:O, phishing:O, emails:O, sent:O, by:O, TA505:B-HackOrg, Group:O, to:O, target:O, financial:B-Idus, institutions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'QiAnXin confirmed that this is a DarkHydrus Group’s new attack targeting Middle East region .' [/INST] [QiAnXin:B-SecTeam, confirmed:O, that:O, this:O, is:O, a:O, DarkHydrus:B-HackOrg, Group’s:O, new:O, attack:O, targeting:O, Middle:B-Area, East:I-Area, region:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First described by Kaspersky in 2014 and later by Cylance in 2017 , 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:B-Time, and:O, later:O, by:O, Cylance:B-SecTeam, in:O, 2017:B-Time, ,:O, Machete:B-Tool, 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: 'It’s now relying on a new DNS-based attack technique to better cloak command and control communications between Greenbug and the malware , ” said Dennis Schwarz , research analyst on Arbor , in an interview with Threatpost .' [/INST] [It’s:O, now:O, relying:O, on:O, a:O, new:O, DNS-based:B-OffAct, attack:I-OffAct, technique:O, to:O, better:O, cloak:O, command:O, and:O, control:O, communications:O, between:O, Greenbug:O, and:O, the:O, malware:B-Tool, ,:O, ”:O, said:O, Dennis:B-Tool, Schwarz:I-Tool, ,:O, research:O, analyst:O, on:O, Arbor:B-SecTeam, ,:O, in:O, an:O, interview:O, with:O, Threatpost:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After thorough analysis , ESET researchers are highly confident that this campaign is run by the OceanLotus group , also known as APT32 and APT-C-00 .' [/INST] [After:O, thorough:O, analysis:O, ,:O, ESET:B-SecTeam, researchers:O, are:O, highly:O, confident:O, that:O, this:O, campaign:B-OffAct, is:O, run:O, by:O, the:O, OceanLotus:B-HackOrg, group:O, ,:O, also:O, known:O, as:O, APT32:B-HackOrg, and:O, APT-C-00: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: '360 Helios Team captured the first Trojan of the Poison Ivy Group in December 2007 .' [/INST] [360:B-SecTeam, Helios:I-SecTeam, Team:I-SecTeam, captured:O, the:O, first:O, Trojan:O, of:O, the:O, Poison:B-Tool, Ivy:I-Tool, Group:O, in:O, December:B-Time, 2007: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: 'Through research , 360 Helios Team has found that , since 2007 , the Poison Ivy Group has carried out 11 years of cyber espionage campaigns against Chinese key units and departments , such as national defense , government , science and technology , education and maritime agencies .' [/INST] [Through:O, research:O, ,:O, 360:B-SecTeam, Helios:I-SecTeam, Team:I-SecTeam, has:O, found:O, that:O, ,:O, since:O, 2007:B-Time, ,:O, the:O, Poison:B-HackOrg, Ivy:I-HackOrg, Group:I-HackOrg, has:O, carried:O, out:O, 11:O, years:O, of:O, cyber:O, espionage:O, campaigns:B-OffAct, against:O, Chinese:B-Area, key:O, units:O, and:O, departments:O, ,:O, such:O, as:O, national:B-Idus, defense:I-Idus, ,:O, government:B-Org, ,:O, science:B-Idus, and:O, technology:B-Idus, ,:O, education:B-Idus, and:O, maritime:B-Org, agencies: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: 'In addition , Antiy Lab revealed the APT organization Green Spot on September 19 , 2018 .' [/INST] [In:O, addition:O, ,:O, Antiy:B-SecTeam, Lab:I-SecTeam, revealed:O, the:O, APT:O, organization:O, Green:B-HackOrg, Spot:I-HackOrg, on:O, September:B-Time, 19:I-Time, ,:O, 2018: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: 'Recently , the 360 Core Security discovered an APT attack code named as APT-C-26 against cryptocurrency institutions and related individuals .' [/INST] [Recently:O, ,:O, the:O, 360:B-SecTeam, Core:I-SecTeam, Security:I-SecTeam, discovered:O, an:O, APT:O, attack:O, code:O, named:O, as:O, APT-C-26:B-HackOrg, against:O, cryptocurrency:O, institutions:O, and:O, related:O, individuals:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This APT attack was analyzed and attributed upon the detection and 360 Core Security now confirmed its association with the APT-C-06 Group .' [/INST] [This:O, APT:B-OffAct, attack:I-OffAct, was:O, analyzed:O, and:O, attributed:O, upon:O, the:O, detection:O, and:O, 360:B-SecTeam, Core:I-SecTeam, Security:I-SecTeam, now:O, confirmed:O, its:O, association:O, with:O, the:O, APT-C-06: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: 'In April , 2018 , the 360 Core Security takes the lead in capturing the APT-C-06 group’s new APT attack using 0-day vulnerabilities (CVE-2018-8174) in the wild .' [/INST] [In:O, April:B-Time, ,:O, 2018:B-Time, ,:O, the:O, 360:B-SecTeam, Core:I-SecTeam, Security:I-SecTeam, takes:O, the:O, lead:O, in:O, capturing:O, the:O, APT-C-06:B-HackOrg, group’s:O, new:O, APT:O, attack:O, using:O, 0-day:O, vulnerabilities:O, (CVE-2018-8174):B-Exp, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 dissected some of the latest additions to the malicious toolkit of the Advanced Persistent Threat (APT) group known as OceanLotus , also dubbed APT32 and APT-C-00 .' [/INST] [ESET:B-SecTeam, researchers:O, have:O, dissected:O, some:O, of:O, the:O, latest:O, additions:O, to:O, the:O, malicious:B-Tool, toolkit:I-Tool, of:O, the:O, Advanced:O, Persistent:O, Threat:O, (APT):O, group:O, known:O, as:O, OceanLotus:B-HackOrg, ,:O, also:O, dubbed:O, APT32:B-HackOrg, and:O, APT-C-00: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: 'Earlier this year , our colleagues at Symantec uncovered an interesting story about the use of Equation group exploitation tools by an alleged Chinese group named Buckeye a.k.a APT3 , or UPS team .' [/INST] [Earlier:O, this:B-Time, year:I-Time, ,:O, our:O, colleagues:O, at:O, Symantec:B-SecTeam, uncovered:O, an:O, interesting:O, story:O, about:O, the:O, use:O, of:O, Equation:B-HackOrg, group:O, exploitation:O, tools:O, by:O, an:O, alleged:O, Chinese:B-Area, group:O, named:O, Buckeye:B-HackOrg, a.k.a:O, APT3:B-HackOrg, ,:O, or:O, UPS:O, team:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , OceanLotus is also known to use ‘watering hole attacks’ , which involve the compromise of a website that the victim is likely to visit .' [/INST] [In:O, addition:O, ,:O, OceanLotus:B-HackOrg, is:O, also:O, known:O, to:O, use:O, ‘watering:B-OffAct, hole:B-OffAct, attacks’:B-OffAct, ,:O, which:O, involve:O, the:O, compromise:O, of:O, a:O, website:O, that:O, the:O, victim:O, is:O, likely:O, to:O, visit:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Zebrocy deploying a compiled Python script , which we call PythocyDbg , within a Southeast Asian foreign affairs organization: this module primarily provides for the stealthy collection of network proxy and communications debug capabilities .' [/INST] [Kaspersky:B-SecTeam, found:O, Zebrocy:B-HackOrg, deploying:O, a:O, compiled:O, Python:B-Tool, script:I-Tool, ,:O, which:O, we:O, call:O, PythocyDbg:B-Tool, ,:O, within:O, a:O, Southeast:B-Area, Asian:I-Area, foreign:O, affairs:O, organization::O, this:O, module:O, primarily:O, provides:O, for:O, the:O, stealthy:O, collection:O, of:O, network:O, proxy:O, and:O, communications:O, debug:O, capabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ESET researchers have investigated a distinctive backdoor used by the notorious APT group known as Turla (or Snake , or Uroburos) to siphon off sensitive communications from the authorities of at least three European countries .' [/INST] [ESET:B-SecTeam, researchers:O, have:O, investigated:O, a:O, distinctive:O, backdoor:O, used:O, by:O, the:O, notorious:O, APT:O, group:O, known:O, as:O, Turla:B-HackOrg, (or:O, Snake:B-HackOrg, ,:O, or:O, Uroburos):B-HackOrg, to:O, siphon:O, off:O, sensitive:O, communications:O, from:O, the:O, authorities:O, of:O, at:O, least:O, three:O, European:B-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: 'Dragos has reported that XENOTIME , the APT group behind the TRISIS (aka TRITON and HatMan) attack on a Saudi Arabian petro-chemical facility in 2017 , has expanded its focus beyond the oil and gas industries .' [/INST] [Dragos:B-SecTeam, has:O, reported:O, that:O, XENOTIME:B-HackOrg, ,:O, the:O, APT:O, group:O, behind:O, the:O, TRISIS:B-HackOrg, (aka:O, TRITON:O, and:O, HatMan):O, attack:O, on:O, a:O, Saudi:B-Area, Arabian:I-Area, petro-chemical:O, facility:O, in:O, 2017:B-Time, ,:O, has:O, expanded:O, its:O, focus:O, beyond:O, the:O, oil:B-Idus, and:O, gas:B-Idus, industries:I-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ESET researchers have observed a significant change in the campaign of the infamous espionage group .' [/INST] [ESET:B-SecTeam, researchers:O, have:O, observed:O, a:O, significant:O, change:O, in:O, the:O, campaign:O, of:O, the:O, infamous:O, espionage:O, group: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: 'On the technical side , since mid-January Kaspersky researchers have been tracking an active Turla campaign targeting government bodies in Turkmenistan and Tajikistan .' [/INST] [On:O, the:O, technical:O, side:O, ,:O, since:O, mid-January:B-Time, Kaspersky:B-SecTeam, researchers:O, have:O, been:O, tracking:O, an:O, active:O, Turla:B-HackOrg, campaign:O, targeting:O, government:B-Org, bodies:O, in:O, Turkmenistan:B-Area, and:O, Tajikistan: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 also published details on how Zebrocy has added the Go” language to its arsenal – the first time that we have observed a well-known APT threat actor deploy malware with this compiled , open source language .' [/INST] [Kaspersky:B-SecTeam, also:O, published:O, details:O, on:O, how:O, Zebrocy:B-HackOrg, has:O, added:O, the:O, Go”:O, language:O, to:O, its:O, arsenal:O, –:O, the:O, first:O, time:O, that:O, we:O, have:O, observed:O, a:O, well-known:O, APT:O, threat:O, actor:O, deploy:B-OffAct, malware:I-OffAct, with:O, this:O, compiled:O, ,:O, open:O, source:O, language:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 found that Turla , the notorious state-sponsored cyberespionage group , has added a fresh weapon to its arsenal that is being used in new campaigns targeting embassies and consulates in the post-Soviet states .' [/INST] [ESET:B-SecTeam, researchers:O, have:O, found:O, that:O, Turla:B-HackOrg, ,:O, the:O, notorious:O, state-sponsored:O, cyberespionage:O, group:O, ,:O, has:O, added:O, a:O, fresh:O, weapon:O, to:O, its:O, arsenal:O, that:O, is:O, being:O, used:O, in:O, new:O, campaigns:O, targeting:O, embassies:O, and:O, consulates:O, in:O, the:O, post-Soviet:B-Area, states:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Turla has been operating for a number of years and its activities have been monitored and analyzed by ESET research laboratories .' [/INST] [Turla:B-HackOrg, has:O, been:O, operating:O, for:O, a:O, number:O, of:O, years:O, and:O, its:O, activities:O, have:O, been:O, monitored:O, and:O, analyzed:O, by:O, ESET:B-SecTeam, research:O, laboratories:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 researchers attribute the campaign , which we call SpoiledLegacy” , to the LuckyMouse APT group (aka EmissaryPanda and APT27) .' [/INST] [Kaspersky:B-SecTeam, researchers:O, attribute:O, the:O, campaign:O, ,:O, which:O, we:O, call:O, SpoiledLegacy”:B-OffAct, ,:O, to:O, the:O, LuckyMouse:B-HackOrg, APT:O, group:O, (aka:O, EmissaryPanda:B-HackOrg, and:O, APT27):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: 'Further tracking of the Lazarus’s activities has enabled Kaspersky researchers to discover a new operation , active since at least November 2018 , which utilizes PowerShell to control Windows systems and Mac OS malware to target Apple customers .' [/INST] [Further:O, tracking:O, of:O, the:O, Lazarus’s:B-HackOrg, activities:O, has:O, enabled:O, Kaspersky:B-SecTeam, researchers:O, to:O, discover:O, a:O, new:O, operation:O, ,:O, active:O, since:O, at:O, least:O, November:B-Time, 2018:I-Time, ,:O, which:O, utilizes:O, PowerShell:B-Tool, to:O, control:O, Windows:O, systems:O, and:O, Mac:O, OS:O, malware:O, to:O, target:O, Apple:B-Org, customers: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: 'However , over the last nine campaigns since Trend Micro‘s June report , TA505 also started using .ISO image attachments as the point of entry , as well as a .NET downloader , a new style for macro delivery , a newer version of ServHelper , and a .DLL variant of FlawedAmmyy downloader .' [/INST] [However:O, ,:O, over:O, the:O, last:O, nine:O, campaigns:O, since:O, Trend:B-SecTeam, Micro‘s:I-SecTeam, June:B-Time, report:O, ,:O, TA505:B-HackOrg, also:O, started:O, using:O, .ISO:O, image:O, attachments:O, as:O, the:O, point:O, of:O, entry:O, ,:O, as:O, well:O, as:O, a:O, .NET:B-Tool, downloader:I-Tool, ,:O, a:O, new:O, style:O, for:O, macro:O, delivery:O, ,:O, a:O, newer:O, version:O, of:O, ServHelper:B-Tool, ,:O, and:O, a:O, .DLL:B-SamFile, variant:I-SamFile, of:O, FlawedAmmyy:O, downloader:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 post , FireEye researchers are going to examine a recent instance where FireEye Managed Defense came toe-to-toe with APT41 .' [/INST] [In:O, this:O, blog:O, post:O, ,:O, FireEye:B-SecTeam, researchers:O, are:O, going:O, to:O, examine:O, a:O, recent:O, instance:O, where:O, FireEye:B-SecTeam, Managed:O, Defense:O, came:O, toe-to-toe:O, with: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: 'The group has demonstrated access to zero-day vulnerabilities (CVE-2018-0802) , and the ability to incorporate them into operations .' [/INST] [The:O, group:B-HackOrg, has:O, demonstrated:O, access:O, to:O, zero-day:O, vulnerabilities:O, (CVE-2018-0802):B-Exp, ,:O, and:O, the:O, ability:O, to:O, incorporate:O, them:O, into: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: 'More information on this threat actor is found in our report , APT37 (Reaper): The Overlooked North Korean Actor .' [/INST] [More:O, information:O, on:O, this:O, threat:O, actor:O, is:O, found:O, in:O, our:O, report:O, ,:O, APT37:B-HackOrg, (Reaper)::O, The:O, Overlooked:O, North:B-Area, Korean:I-Area, 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: 'There have been reports of real-time phishing in the wild as early as 2010 .' [/INST] [There:O, have:O, been:O, reports:O, of:O, real-time:O, phishing:B-Way, in:O, the:O, wild:O, as:O, early:O, as:O, 2010: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: 'Explanation of ToolTo improve social engineering assessments , we developed a tool – named ReelPhish – that simplifies the real-time phishing technique .' [/INST] [Explanation:O, of:O, ToolTo:O, improve:O, social:O, engineering:O, assessments:O, ,:O, we:O, developed:O, a:O, tool:O, –:O, named:O, ReelPhish:B-Tool, –:O, that:O, simplifies:O, the:O, real-time:O, phishing:B-Way, technique:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 assess with high confidence that this activity is carried out on behalf of the North Korean government given malware development artifacts and targeting that aligns with North Korean state interests .' [/INST] [We:O, assess:O, with:O, high:O, confidence:O, that:O, this:O, activity:O, is:O, carried:O, out:O, on:O, behalf:O, of:O, the:O, North:B-Area, Korean:I-Area, government:O, given:O, malware:O, development:O, artifacts:O, and:O, targeting:O, that:O, aligns:O, with:O, North:B-Area, Korean:I-Area, state:O, interests:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Known targets of this group have been involved in the maritime industry , as well as engineering-focused entities , and include research institutes , academic organizations , and private firms in the United States .' [/INST] [Known:O, targets:O, of:O, this:O, group:B-HackOrg, have:O, been:O, involved:O, in:O, the:O, maritime:B-Idus, industry:O, ,:O, as:O, well:O, as:O, engineering-focused:O, entities:O, ,:O, and:O, include:O, research:B-Idus, institutes:I-Idus, ,:O, academic:B-Idus, organizations:I-Idus, ,:O, and:O, private:B-Org, firms:I-Org, in:O, the:B-Area, United:I-Area, States: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: 'By releasing ReelPhish , we at Mandiant hope to highlight the need for multiple layers of security and discourage the reliance on any single security mechanism .' [/INST] [By:O, releasing:B-OffAct, ReelPhish:I-OffAct, ,:O, we:O, at:O, Mandiant:B-SecTeam, hope:O, to:O, highlight:O, the:O, need:O, for:O, multiple:O, layers:O, of:O, security:O, and:O, discourage:O, the:O, reliance:O, on:O, any:O, single:O, security: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: 'The group has also been reported as Leviathanby other security firms .' [/INST] [The:O, group:B-HackOrg, has:O, also:O, been:O, reported:O, as:O, Leviathanby:B-SecTeam, other:O, security:O, firms:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 multiple other Chinese cyber espionage actors , TEMP.Periscope has recently re-emerged and has been observed conducting operations with a revised toolkit .' [/INST] [Like:O, multiple:O, other:O, Chinese:B-Area, cyber:O, espionage:O, actors:O, ,:O, TEMP.Periscope:B-HackOrg, has:O, recently:O, re-emerged:O, and:O, has:O, been:O, observed:O, conducting:O, operations:O, with:O, a:O, revised:O, toolkit:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 tool then starts a new web browser instance on the attacker’s system and submits credentials on the real VPN portal .' [/INST] [The:O, tool:O, then:O, starts:O, a:O, new:O, web:O, browser:O, instance:O, on:O, the:O, attacker’s:B-HackOrg, system:O, and:O, submits:B-Purp, credentials:I-Purp, on:O, the:O, real:O, VPN:O, portal:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These tools include:AIRBREAK: a JavaScript-based backdoor also reported as Orz that retrieves commands from hidden strings in compromised webpages and actor controlled profiles on legitimate services.BADFLICK: a backdoor that is capable of modifying the file system , generating a reverse shell , and modifying its command and control (C2) configuration .' [/INST] [These:O, tools:O, include:AIRBREAK::O, a:O, JavaScript-based:B-Tool, backdoor:I-Tool, also:O, reported:O, as:O, Orz:O, that:O, retrieves:O, commands:O, from:O, hidden:O, strings:O, in:O, compromised:O, webpages:O, and:O, actor:O, controlled:O, profiles:O, on:O, legitimate:O, services.BADFLICK::O, a:O, backdoor:O, that:O, is:O, capable:O, of:O, modifying:O, the:O, file:O, system:O, ,:O, generating:O, a:O, reverse:O, shell:O, ,:O, and:O, modifying:B-Way, its:O, command:O, and:O, control:B-Way, (C2):O, configuration:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'HOMEFRY: a 64-bit Windows password dumper/cracker that has previously been used in conjunction with AIRBREAK and BADFLICK backdoors .' [/INST] [HOMEFRY::O, a:O, 64-bit:O, Windows:O, password:O, dumper/cracker:O, that:O, has:O, previously:O, been:O, used:O, in:O, conjunction:O, with:O, AIRBREAK:B-Tool, and:O, BADFLICK:B-Tool, backdoors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The following are tools that TEMP.Periscope has leveraged in past operations and could use again , though these have not been seen in the current wave of activity:Beacon: a backdoor that is commercially available as part of the Cobalt Strike software platform , commonly used for pen-testing network environments .' [/INST] [The:O, following:O, are:O, tools:O, that:O, TEMP.Periscope:B-HackOrg, has:O, leveraged:O, in:O, past:O, operations:O, and:O, could:O, use:O, again:O, ,:O, though:O, these:O, have:O, not:O, been:O, seen:O, in:O, the:O, current:O, wave:O, of:O, activity:Beacon::O, a:O, backdoor:O, that:O, is:O, commercially:O, available:O, as:O, part:O, of:O, the:O, Cobalt:B-HackOrg, Strike:I-HackOrg, software:O, platform:O, ,:O, commonly:O, used:O, for:O, pen-testing:O, network: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: 'This entry was posted on Fri Mar 16 00:00 EDT 2018 and filed under Targeted Attacks , FireEye , and China .' [/INST] [This:O, entry:O, was:O, posted:O, on:O, Fri:O, Mar:B-Time, 16:I-Time, 00:00:O, EDT:O, 2018:B-Time, and:O, filed:O, under:O, Targeted:O, Attacks:O, ,:O, FireEye:B-SecTeam, ,:O, and: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: 'Read our report , APT37 (Reaper): The Overlooked North Korean Actor , to learn more about our assessment that this threat actor is working on behalf of the North Korean government , as well as various other details about their operations .' [/INST] [Read:O, our:O, report:O, ,:O, APT37:B-HackOrg, (Reaper)::O, The:O, Overlooked:O, North:B-Area, Korean:I-Area, Actor:O, ,:O, to:O, learn:O, more:O, about:O, our:O, assessment:O, that:O, this:O, threat:O, actor:O, is:O, working:O, on:O, behalf:O, of:O, the:O, North:B-Org, Korean:I-Org, government:I-Org, ,:O, as:O, well:O, as:O, various:O, other:O, details:O, about:O, their: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: 'A brief timeline of this activity is shown in Figure 1.Figure 1: Timeline of this recently observed spear phishing campaign .' [/INST] [A:O, brief:O, timeline:O, of:O, this:O, activity:B-OffAct, is:O, shown:O, in:O, Figure:O, 1.Figure:O, 1::O, Timeline:O, of:O, this:O, recently:O, observed:O, spear:B-Way, phishing:I-Way, 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: 'The first part of the campaign From Jan. 23 , 2018 , to Feb. 26 , 2018 used a macro-based document that dropped a VBS file and an INI file .' [/INST] [The:O, first:O, part:O, of:O, the:O, campaign:B-OffAct, From:O, Jan.:B-Time, 23:I-Time, ,:O, 2018:B-Time, ,:O, to:O, Feb.:B-Time, 26:I-Time, ,:O, 2018:B-Time, used:O, a:O, macro-based:O, document:O, that:O, dropped:O, a:O, VBS:B-SamFile, file:I-SamFile, and:O, an:O, INI: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: 'One such email that we were able to obtain was targeting users in Turkey , as shown in Figure 4:Figure 4: Sample spear phishing email containing macro-based document attachment The malicious Microsoft Office attachments that we observed appear to have been specially crafted for individuals in four countries: Turkey , Pakistan , Tajikistan and India .' [/INST] [One:O, such:O, email:O, that:O, we:O, were:O, able:O, to:O, obtain:O, was:O, targeting:O, users:O, in:O, Turkey:B-Area, ,:O, as:O, shown:O, in:O, Figure:O, 4:Figure:O, 4::O, Sample:O, spear:B-Way, phishing:I-Way, email:O, containing:O, macro-based:O, document:O, attachment:O, The:O, malicious:O, Microsoft:O, Office:O, attachments:B-Tool, that:O, we:O, observed:O, appear:O, to:O, have:O, been:O, specially:O, crafted:O, for:O, individuals:O, in:O, four:O, countries::O, Turkey:B-Area, ,:O, Pakistan:B-Area, ,:O, Tajikistan:B-Area, and: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 INI file contains the Base64 encoded PowerShell command , which will be decoded and executed by PowerShell using the command line generated by the VBS file on execution using WScript.exe .' [/INST] [The:O, INI:B-SamFile, file:I-SamFile, contains:O, the:O, Base64:O, encoded:O, PowerShell:O, command:O, ,:O, which:O, will:O, be:O, decoded:O, and:O, executed:O, by:O, PowerShell:B-Tool, using:O, the:O, command:O, line:O, generated:O, by:O, the:O, VBS:B-SamFile, file:I-SamFile, on:O, execution:O, using:O, WScript.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: 'cmstp.exe system restart , cmstp.exe will be used to execute the SCT file indirectly through the INF file .' [/INST] [cmstp.exe:B-SamFile, system:O, restart:O, ,:O, cmstp.exe:B-SamFile, will:O, be:O, used:O, to:O, execute:O, the:O, SCT:B-SamFile, file:I-SamFile, indirectly:O, through:O, the:O, INF:B-SamFile, file:I-SamFile, .:O] </s> |