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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: 'For a long time the Winnti group had been considered as a Chinese threat actor targeting gaming companies specifically .' [/INST] [For:O, a:O, long:O, time:O, the:O, Winnti:B-HackOrg, group:I-HackOrg, had:O, been:O, considered:O, as:O, a:O, Chinese:B-Area, threat:I-Area, actor:I-Area, targeting:O, gaming:B-Org, companies:I-Org, specifically:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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-Tool, malware:I-Tool, spotted:O, in:O, the:O, operations:O, of:O, Axiom: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: 'The Axiom group has been presented as an advanced Chinese threat actor carrying out cyber-espionage attacks against a whole range of different industries .' [/INST] [The:O, Axiom:B-HackOrg, group:O, has:O, been:O, presented:O, as:O, an:O, advanced:O, Chinese:B-Area, threat:I-Area, actor:I-Area, carrying:O, out:O, cyber-espionage:B-OffAct, attacks:I-OffAct, against:O, a:O, whole:O, range:O, of:O, different:O, industries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'this library includes two drivers compiled on August 22 and September 4 , 2014 .' [/INST] [this:O, library:O, includes:O, two:O, drivers:O, compiled:O, on:O, August:B-Time, 22:I-Time, and:O, September:B-Time, 4:I-Time, ,:O, 2014: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: 'Also our visibility as a vendor does not cover every company in the world ( at least so far ; ) ) and the Kaspersky Security Network ( KSN ) did not reveal other attacks except those against gaming companies .' [/INST] [Also:O, our:O, visibility:O, as:O, a:O, vendor:O, does:O, not:O, cover:O, every:O, company:O, in:O, the:O, world:O, (:O, at:O, least:O, so:O, far:O, ;:O, ):O, ):O, and:O, the:O, Kaspersky:B-SecTeam, Security:I-SecTeam, Network:I-SecTeam, (:O, KSN:B-SecTeam, ):O, did:O, not:O, reveal:O, other:O, attacks:B-OffAct, except:O, those:O, against:O, gaming:B-Org, companies:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Conversely , LokiBot and Agent Tesla are new malware tools .' [/INST] [Conversely:O, ,:O, LokiBot:B-Tool, and:O, Agent:B-Tool, Tesla:I-Tool, are:O, new:O, malware: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: 'Based on multiple active compromises by the Axiom threat group , Novetta was able to capture and analyze new Winnti malware samples .' [/INST] [Based:O, on:O, multiple:O, active:O, compromises:O, by:O, the:O, Axiom:O, threat:O, group:O, ,:O, Novetta:B-SecTeam, was:O, able:O, to:O, capture:O, and:O, analyze:O, new:O, Winnti:B-Tool, malware:I-Tool, samples: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: 'Initial attack targets are commonly software and gaming organizations in United States , Japan , South Korea , and China .' [/INST] [Initial:O, attack:B-OffAct, targets:O, are:O, commonly:O, software:O, and:O, gaming:B-Org, organizations:I-Org, in:O, United:B-Area, States:I-Area, ,:O, Japan:B-Area, ,:O, South:B-Area, Korea:I-Area, ,: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: 'Initial attack targets are commonly software and gaming organizations in United States , Japan , South Korea , and China .' [/INST] [Initial:O, attack:B-OffAct, targets:O, are:O, commonly:O, software:O, and:O, gaming:B-Org, organizations:I-Org, in:O, United:B-Area, States:I-Area, ,:O, Japan:B-Area, ,:O, South:B-Area, Korea:I-Area, ,: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: 'The samples Novetta obtained from the active Axiom infection were compiled in mid- to late 2014 and represent what Novetta is referring to as version 3.0 of the Winnti lineage .' [/INST] [The:O, samples:O, Novetta:B-SecTeam, obtained:O, from:O, the:O, active:O, Axiom:O, infection:O, were:O, compiled:O, in:O, mid-:O, to:O, late:O, 2014:B-Time, and:O, represent:O, what:O, Novetta:B-SecTeam, is:O, referring:O, to:O, as:O, version:O, 3.0:O, of:O, the:O, Winnti:B-HackOrg, lineage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the Winnti umbrella is associated with the Chinese state intelligence apparatus , with at least some elements located in the Xicheng District of Beijing .' [/INST] [We:O, assess:O, with:O, high:O, confidence:O, that:O, the:O, Winnti:O, umbrella:O, is:O, associated:O, with:O, the:O, Chinese:B-Area, state:I-Area, intelligence:I-Area, apparatus:O, ,:O, with:O, at:O, least:O, some:O, elements:O, located:O, in:O, the:O, Xicheng:B-Area, District:I-Area, of:I-Area, Beijing:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Winnti umbrella continues to operate highly successfully in 2018 .' [/INST] [The:O, Winnti:O, umbrella:O, continues:O, to:O, operate:O, highly:O, successfully: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: 'The Winnti umbrella and closely associated entities has been active since at least 2009 .' [/INST] [The:O, Winnti:O, umbrella:O, and:O, closely:O, associated:O, entities:O, has:O, been:O, active:O, since:O, at:O, least:O, 2009:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Winnti and Axiom group names were created by Kaspersky Lab and Symantec , respectively , for their 2013/2014 reports on the original group .' [/INST] [The:O, Winnti:B-HackOrg, and:O, Axiom:O, group:B-HackOrg, names:O, were:O, created:O, by:O, Kaspersky:B-SecTeam, Lab:I-SecTeam, and:O, Symantec:B-SecTeam, ,:O, respectively:O, ,:O, for:O, their:O, 2013/2014:B-Time, reports:O, on:O, the:O, original: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: 'Their operations against gaming and technology organizations are believed to be economically motivated in nature .' [/INST] [Their:O, operations:O, against:O, gaming:B-Org, and:O, technology:B-Org, organizations:I-Org, are:O, believed:O, to:O, be:O, economically:O, motivated:O, in:O, nature:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , based on the findings shared in this report we assess with high confidence that the actor 's primary long-term mission is politically focused .' [/INST] [However:O, ,:O, based:O, on:O, the:O, findings:O, shared:O, in:O, this:O, report:O, we:O, assess:O, with:O, high:O, confidence:O, that:O, the:O, actor:O, 's:O, primary:O, long-term:O, mission:O, is:O, politically:B-Purp, focused:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Winnti umbrella and linked groups' initial targets are gaming studios and high tech businesses .' [/INST] [The:O, Winnti:O, umbrella:O, and:O, linked:O, groups':O, initial:O, targets:O, are:O, gaming:B-Org, studios:I-Org, and:O, high:B-Idus, tech:I-Idus, businesses: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: 'During the same time period , we also observed the actor using the Browser Exploitation Framework ( BeEF ) to compromise victim hosts and download Cobalt Strike .' [/INST] [During:O, the:O, same:O, time:O, period:O, ,:O, we:O, also:O, observed:O, the:O, actor:O, using:O, the:O, Browser:O, Exploitation:O, Framework:O, (:O, BeEF:O, ):O, to:O, compromise:O, victim:O, hosts:O, and:O, download:O, Cobalt:B-Tool, Strike: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 this campaign , the attackers experimented with publicly available tooling for attack operations .' [/INST] [In:O, this:O, campaign:B-OffAct, ,:O, the:O, attackers:O, experimented:O, with:O, publicly:B-Tool, available:I-Tool, tooling:I-Tool, for:O, attack:B-OffAct, operations:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The primary goal of these attacks was likely to find code-signing certificates for signing future malware .' [/INST] [The:O, primary:O, goal:O, of:O, these:O, attacks:B-OffAct, was:O, likely:O, to:O, find:B-Purp, code-signing:I-Purp, certificates:I-Purp, for:O, signing:O, future:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Chinese intelligence apparatus has been reported on under many names , including Winnti , PassCV , APT17 , Axiom , LEAD , BARIUM , Wicked Panda , and GREF .' [/INST] [The:O, Chinese:B-Area, intelligence:I-Area, apparatus:I-Area, has:O, been:O, reported:O, on:O, under:O, many:O, names:O, ,:O, including:O, Winnti:O, ,:O, PassCV:O, ,:O, APT17:O, ,:O, Axiom:O, ,:O, LEAD:O, ,:O, BARIUM:O, ,:O, Wicked:O, Panda:O, ,:O, and:O, GREF:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attackers behind observed activity in 2018 operate from the Xicheng District of Beijing via the net block 221.216.0.0/13 .' [/INST] [The:O, attackers:O, behind:O, observed:O, activity:B-OffAct, in:O, 2018:B-Time, operate:O, from:O, the:O, Xicheng:B-Area, District:I-Area, of:I-Area, Beijing:I-Area, via:O, the:O, net:O, block:O, 221.216.0.0/13: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: 'ALLANITE activity closely resembles Palmetto Fusion described by the US Department of Homeland Security ( DHS ) .' [/INST] [ALLANITE:B-OffAct, activity:I-OffAct, closely:O, resembles:O, Palmetto:O, Fusion:O, described:O, by:O, the:O, US:B-Area, Department:B-SecTeam, of:I-SecTeam, Homeland:I-SecTeam, Security:I-SecTeam, (:O, DHS:B-SecTeam, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ALLANITE activity closely resembles Palmetto Fusion described by the US Department of Homeland Security .' [/INST] [ALLANITE:B-OffAct, activity:I-OffAct, closely:O, resembles:O, Palmetto:O, Fusion:O, described:O, by:O, the:O, US:O, Department:B-SecTeam, of:I-SecTeam, Homeland:I-SecTeam, Security: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: 'ALLANITE uses email phishing campaigns and compromised websites called watering holes to steal credentials and gain access to target networks , including collecting and distributing screenshots of industrial control systems .' [/INST] [ALLANITE:O, uses:O, email:B-OffAct, phishing:I-OffAct, campaigns:I-OffAct, and:O, compromised:B-Tool, websites:I-Tool, called:O, watering:B-Way, holes:I-Way, to:O, steal:B-Purp, credentials:I-Purp, and:O, gain:B-Purp, access:I-Purp, to:O, target:O, networks:O, ,:O, including:O, collecting:B-Purp, and:I-Purp, distributing:I-Purp, screenshots:I-Purp, of:O, industrial:O, control:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In October 2017 , a DHS advisory documented ALLANITE technical operations combined with activity with a group Symantec calls Dragonfly ( which Dragos associates with DYMALLOY ) .' [/INST] [In:O, October:B-Time, 2017:I-Time, ,:O, a:O, DHS:B-SecTeam, advisory:O, documented:O, ALLANITE:O, technical:O, operations:O, combined:O, with:O, activity:B-OffAct, with:O, a:O, group:O, Symantec:B-SecTeam, calls:O, Dragonfly:O, (:O, which:O, Dragos:B-SecTeam, associates:O, with:O, DYMALLOY:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In October 2017 , a DHS advisory documented ALLANITE technical operations combined with activity with a group .' [/INST] [In:O, October:B-Time, 2017:I-Time, ,:O, a:O, DHS:B-SecTeam, advisory:O, documented:O, ALLANITE:O, technical:O, operations:O, combined:O, with:O, activity:B-OffAct, with:O, a: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: 'We assess with high confidence that the attackers discussed here are associated with the Chinese state intelligence apparatus .' [/INST] [We:O, assess:O, with:O, high:O, confidence:O, that:O, the:O, attackers:O, discussed:O, here:O, are:O, associated:O, with:O, the:O, Chinese:O, state:O, intelligence:O, apparatus:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ALLANITE operations limit themselves to information gathering and have not demonstrated any disruptive or damaging capabilities .' [/INST] [ALLANITE:B-OffAct, operations:I-OffAct, limit:O, themselves:O, to:O, information:B-Purp, gathering:I-Purp, and:O, have:O, not:O, demonstrated:O, any:O, disruptive:O, or:O, damaging:O, capabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In October 2017 , a DHS advisory documented ALLANITE technical operations combined with activity with a group Symantec calls Dragonfly .' [/INST] [In:O, October:B-Time, 2017:I-Time, ,:O, a:O, DHS:B-SecTeam, advisory:O, documented:O, ALLANITE:O, technical:O, operations:O, combined:O, with:O, activity:B-OffAct, with:O, a:O, group:O, Symantec:B-SecTeam, calls:O, Dragonfly:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Public disclosure by third-parties , including the DHS , associate ALLANITE operations with Russian strategic interests .' [/INST] [Public:O, disclosure:O, by:O, third-parties:O, ,:O, including:O, the:O, DHS:B-SecTeam, ,:O, associate:O, ALLANITE:B-OffAct, operations:I-OffAct, with:O, Russian:O, strategic: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: 'ALLANITE conducts malware-less operations primarily leveraging legitimate and available tools in the Windows operating system .' [/INST] [ALLANITE:O, conducts:O, malware-less:O, operations:O, primarily:O, leveraging:O, legitimate:O, and:O, available:O, tools:O, in:O, the:O, Windows:O, operating: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: 'Dragos does not publicly describe ICS activity group technical details except in extraordinary circumstances in order to limit tradecraft proliferation .' [/INST] [Dragos:B-SecTeam, does:O, not:O, publicly:O, describe:O, ICS:O, activity:O, group:O, technical:O, details:O, except:O, in:O, extraordinary:O, circumstances:O, in:O, order:O, to:O, limit:O, tradecraft:O, proliferation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , full details on ALLANITE and other group tools , techniques , procedures , and infrastructure is available to network defenders via Dragos WorldView .' [/INST] [However:O, ,:O, full:O, details:O, on:O, ALLANITE:O, and:O, other:O, group:O, tools:O, ,:O, techniques:O, ,:O, procedures:O, ,:O, and:O, infrastructure:O, is:O, available:O, to:O, network:O, defenders:O, via:O, Dragos:B-SecTeam, WorldView: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: 'In addition to maritime operations in this region , Anchor Panda also heavily targeted western companies in the US , Germany , Sweden , the UK , and Australia , and other countries involved in maritime satellite systems , aerospace companies , and defense contractors .' [/INST] [In:O, addition:O, to:O, maritime:O, operations:O, in:O, this:O, region:O, ,:O, Anchor:O, Panda:O, also:O, heavily:O, targeted:O, western:O, companies:O, in:O, the:O, US:B-Area, ,:O, Germany:B-Area, ,:O, Sweden:B-Area, ,:O, the:O, UK:B-Area, ,:O, and:O, Australia:B-Area, ,:O, and:O, other:O, countries:O, involved:O, in:O, maritime:O, satellite:O, systems:O, ,:O, aerospace:B-Org, companies:I-Org, ,:O, and:O, defense:B-Org, contractors: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: 'A current round of cyber-attacks from Chinese source groups are targeting the maritime sector in an attempt to steal technology .' [/INST] [A:O, current:O, round:O, of:O, cyber-attacks:B-OffAct, from:O, Chinese:B-Area, source:I-Area, groups:I-Area, are:O, targeting:O, the:O, maritime:B-Org, sector:I-Org, in:O, an:O, attempt:O, to:O, steal:B-Purp, technology:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PLA Navy Anchor Panda is an adversary that CrowdStrike has tracked extensively over the last year targeting both civilian and military maritime operations in the green/brown water regions primarily in the area of operations of the South Sea Fleet of the PLA Navy .' [/INST] [PLA:B-Area, Navy:I-Area, Anchor:B-HackOrg, Panda:I-HackOrg, is:O, an:O, adversary:O, that:O, CrowdStrike:B-SecTeam, has:O, tracked:O, extensively:O, over:O, the:O, last:O, year:O, targeting:O, both:O, civilian:O, and:O, military:O, maritime:O, operations:O, in:O, the:O, green/brown:O, water:O, regions:O, primarily:O, in:O, the:O, area:O, of:O, operations:O, of:O, the:O, South:B-Area, Sea:I-Area, Fleet:I-Area, of:I-Area, the:I-Area, PLA:I-Area, Navy: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: 'ALLANITE operations continue and intelligence indicates activity since at least May 2017 .' [/INST] [ALLANITE:B-OffAct, operations:I-OffAct, continue:O, and:O, intelligence:O, indicates:O, activity:B-OffAct, since:O, at:O, least: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: 'APT Anchor Panda is a Chinese threat actor group who target maritime operations .' [/INST] [APT:O, Anchor:O, Panda:O, is:O, a:O, Chinese:B-Area, threat:I-Area, actor:I-Area, group:I-Area, who:O, target:O, maritime: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: 'According to cyber security researchers , Anchor Panda , who work directly for the Chinese PLA Navy , likely remains active .' [/INST] [According:O, to:O, cyber:O, security:O, researchers:O, ,:O, Anchor:O, Panda:O, ,:O, who:O, work:O, directly:O, for:O, the:O, Chinese:B-Area, PLA:I-Area, Navy:I-Area, ,:O, likely:O, remains:O, active:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dragos does not corroborate nor conduct political attribution to threat activity .' [/INST] [Dragos:B-SecTeam, does:O, not:O, corroborate:O, nor:O, conduct:O, political:B-Purp, attribution:I-Purp, to:O, threat:B-OffAct, activity:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the past they used Adobe Gh0st , Poison Ivy and Torn RAT malware as their primary attack vector is sphere phishing .' [/INST] [In:O, the:O, past:O, they:O, used:O, Adobe:B-Tool, Gh0st:I-Tool, ,:O, Poison:B-Tool, Ivy:I-Tool, and:O, Torn:B-Tool, RAT:I-Tool, malware:I-Tool, as:O, their:O, primary:O, attack:B-OffAct, vector:O, is:O, sphere:O, phishing:B-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Their targets are marine companies that operate in and around the South China Sea , an area of much Chinese interest .' [/INST] [Their:O, targets:O, are:O, marine:B-Org, companies:I-Org, that:O, operate:O, in:O, and:O, around:O, the:O, South:B-Area, China:I-Area, Sea:I-Area, ,:O, an:O, area:O, of:O, much:O, Chinese:B-Area, interest:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As recently as this past week , researchers observed Chinese hackers escalating cyber-attack efforts to steal military research secrets from US universities .' [/INST] [As:O, recently:O, as:O, this:O, past:O, week:O, ,:O, researchers:O, observed:O, Chinese:B-Area, hackers:I-Area, escalating:O, cyber-attack:B-OffAct, efforts:O, to:O, steal:B-Purp, military:I-Purp, research:I-Purp, secrets:I-Purp, from:O, US:B-Area, universities:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The cyber-espionage campaign has labelled the group Advanced Persistent Threat ( APT ) 40 or , titled , Periscope .' [/INST] [The:O, cyber-espionage:B-OffAct, campaign:I-OffAct, has:O, labelled:O, the:O, group:O, Advanced:B-HackOrg, Persistent:I-HackOrg, Threat:B-HackOrg, (:I-HackOrg, APT:I-HackOrg, ):I-HackOrg, 40:I-HackOrg, or:O, ,:O, titled:O, ,:O, Periscope: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 been active since at least January 2013 .' [/INST] [The:O, group:O, has:O, been:O, active:O, since:O, at:O, least:O, January:B-Time, 2013: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 group has also targeted businesses operating in the South China Sea , which is a strategically important region and the focus of disputes between China and other states .' [/INST] [The:O, group:O, has:O, also:O, targeted:O, businesses:B-Idus, operating:O, in:O, the:O, South:B-Area, China:I-Area, Sea:I-Area, ,:O, which:O, is:O, a:O, strategically:O, important:O, region:O, and:O, the:O, focus:O, of:O, disputes:B-Purp, between:I-Purp, China:I-Purp, and:I-Purp, other:I-Purp, states:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The main targets seem to be US companies in engineering , transport and defense , although it has targeted other organizations around the world .' [/INST] [The:O, main:O, targets:O, seem:O, to:O, be:O, US:B-Area, companies:I-Org, in:O, engineering:B-Idus, ,:O, transport:B-Idus, and:O, defense:B-Idus, ,:O, although:O, it:O, has:O, targeted:O, other:O, organizations:O, around:O, the:O, world:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The times of day the group is active also suggests that it is based near Beijing and the group has reportedly used malware that has been observed in other Chinese operations , indicating some level of collaboration .' [/INST] [The:O, times:O, of:O, day:O, the:O, group:O, is:O, active:O, also:O, suggests:O, that:O, it:O, is:O, based:O, near:O, Beijing:O, and:O, the:O, group:O, has:O, reportedly:O, used:O, malware:O, that:O, has:O, been:O, observed:O, in:O, other:O, Chinese:B-Area, operations:I-Area, ,:O, indicating:O, some:O, level:O, of:O, collaboration:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Periscope 's activity has previously been suspected of being linked to China , but now researchers believe their evidence links the operation to the Chinese state .' [/INST] [Periscope:O, 's:O, activity:B-OffAct, has:O, previously:O, been:O, suspected:O, of:O, being:O, linked:O, to:O, China:B-Area, ,:O, but:O, now:O, researchers:O, believe:O, their:O, evidence:O, links:O, the:O, operation:O, to:O, the:O, Chinese:B-Area, state:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT40 is described as a moderately sophisticated cyber-espionage group which combines access to significant development resources with the ability to leverage publicly available tools .' [/INST] [APT40:B-HackOrg, is:O, described:O, as:O, a:O, moderately:O, sophisticated:O, cyber-espionage:O, group:O, which:O, combines:O, access:O, to:O, significant:O, development:O, resources:O, with:O, the:O, ability:O, to:O, leverage:O, publicly:B-Tool, available:I-Tool, tools:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Anchor Panda uses website and web-server compromise as a means of attack and leverages an enormous cache of tools in its campaigns , to include exploits that take advantage of known CVE software vulnerabilities .' [/INST] [Anchor:O, Panda:O, uses:O, website:O, and:O, web-server:O, compromise:O, as:O, a:O, means:O, of:O, attack:O, and:O, leverages:O, an:O, enormous:O, cache:O, of:O, tools:O, in:O, its:O, campaigns:B-OffAct, ,:O, to:O, include:O, exploits:O, that:O, take:O, advantage:O, of:O, known:O, CVE:B-Tool, software:I-Tool, vulnerabilities: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: 'Like many espionage campaigns , much of APT40 's activity begins by attempting to trick targets with phishing emails , before deploying malware such as the Gh0st RAT trojan to maintain persistence on a compromised network .' [/INST] [Like:O, many:O, espionage:B-OffAct, campaigns:I-OffAct, ,:O, much:O, of:O, APT40:B-HackOrg, 's:O, activity:B-OffAct, begins:O, by:O, attempting:O, to:O, trick:O, targets:O, with:O, phishing:B-Way, emails:I-Way, ,:O, before:O, deploying:O, malware:O, such:O, as:O, the:O, Gh0st:B-Tool, RAT:I-Tool, trojan:I-Tool, to:O, maintain:B-Purp, persistence:I-Purp, on:I-Purp, a:I-Purp, compromised:I-Purp, network:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group uses website and web-server compromise as a means of attack and leverages an enormous cache of tools in its campaigns , to include exploits that take advantage of known CVE software vulnerabilities .' [/INST] [The:O, group:O, uses:O, website:O, and:O, web-server:O, compromise:O, as:O, a:O, means:O, of:O, attack:O, and:O, leverages:O, an:O, enormous:O, cache:O, of:O, tools:O, in:O, its:O, campaigns:B-OffAct, ,:O, to:O, include:O, exploits:O, that:O, take:O, advantage:O, of:O, known:O, CVE:B-Tool, software:I-Tool, vulnerabilities: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: 'More than half of the organizations we have observed being targeted or breached by APT5 operate in these sectors .' [/INST] [More:O, than:O, half:O, of:O, the:O, organizations:O, we:O, have:O, observed:O, being:O, targeted:O, or:O, breached:O, by:O, APT5:O, operate:O, in:O, these:O, sectors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT5 has been active since at least 2007 .' [/INST] [APT5:B-HackOrg, has:O, been:O, active:O, since:O, at:O, least:O, 2007: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: 'APT5 has targeted or breached organizations across multiple industries , but its focus appears to be on telecommunications and technology companies , especially information about satellite communications .' [/INST] [APT5:B-HackOrg, has:O, targeted:O, or:O, breached:O, organizations:O, across:O, multiple:O, industries:O, ,:O, but:O, its:O, focus:O, appears:O, to:O, be:O, on:O, telecommunications:B-Idus, and:O, technology:B-Org, companies:I-Org, ,:O, especially:O, information:O, about:O, satellite:B-Idus, communications: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: 'APT5 targeted the network of an electronics firm that sells products for both industrial and military applications .' [/INST] [APT5:B-HackOrg, targeted:O, the:O, network:O, of:O, an:O, electronics:B-Org, firm:I-Org, that:O, sells:O, products:O, for:O, both:O, industrial:B-Idus, and:O, military:B-Idus, applications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 subsequently stole communications related to the firm 's business relationship with a national military , including inventories and memoranda about specific products they provided .' [/INST] [The:O, group:O, subsequently:O, stole:O, communications:B-Idus, related:O, to:O, the:O, firm:O, 's:O, business:O, relationship:O, with:O, a:O, national:O, military:B-Idus, ,:O, including:O, inventories:O, and:O, memoranda:O, about:O, specific:O, products:O, they:O, provided:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 one case in late 2014 , APT5 breached the network of an international telecommunications company .' [/INST] [In:O, one:O, case:O, in:O, late:B-Time, 2014:I-Time, ,:O, APT5:O, breached:O, the:O, network:O, of:O, an:O, international:B-Org, telecommunications:I-Org, company: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 group used malware with keylogging capabilities to monitor the computer of an executive who manages the company 's relationships with other telecommunications companies .' [/INST] [The:O, group:O, used:O, malware:O, with:O, keylogging:O, capabilities:O, to:O, monitor:B-Purp, the:I-Purp, computer:I-Purp, of:O, an:O, executive:O, who:O, manages:O, the:O, company:O, 's:O, relationships:O, with:O, other:O, telecommunications:B-Org, companies:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT5 also targeted the networks of some of Southeast Asia 's major telecommunications providers with Leouncia malware .' [/INST] [APT5:O, also:O, targeted:O, the:O, networks:O, of:O, some:O, of:O, Southeast:O, Asia:B-Area, 's:O, major:O, telecommunications:B-Org, providers:I-Org, with:O, Leouncia: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: 'We suspect that the group sought access to these networks to obtain information that would enable it to monitor communications passing through the providers' systems .' [/INST] [We:O, suspect:O, that:O, the:O, group:O, sought:O, access:O, to:O, these:O, networks:O, to:O, obtain:O, information:O, that:O, would:O, enable:O, it:O, to:O, monitor:B-Purp, communications:I-Purp, passing:O, through:O, the:O, providers':O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The FBI said the , group of malicious cyber actors , ( known as APT6 or 1.php ) used dedicated top-level domains in conjunction with the command and control servers to deliver , customized malicious software , to government computer systems .' [/INST] [The:O, FBI:B-SecTeam, said:O, the:O, ,:O, group:B-HackOrg, of:I-HackOrg, malicious:I-HackOrg, cyber:I-HackOrg, actors:I-HackOrg, ,:O, (:O, known:O, as:O, APT6:B-HackOrg, or:O, 1.php:B-HackOrg, ):O, used:O, dedicated:O, top-level:O, domains:O, in:O, conjunction:O, with:O, the:O, command:O, and:O, control:O, servers:O, to:O, deliver:O, ,:O, customized:B-Tool, malicious:I-Tool, software:I-Tool, ,:O, to:O, government:O, computer:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Deepen told Threatpost the group has been operating since at least since 2008 and has targeted China and US relations experts , Defense Department entities , and geospatial groups within the federal government .' [/INST] [Deepen:B-SecTeam, told:O, Threatpost:O, the:O, group:O, has:O, been:O, operating:O, since:O, at:O, least:O, since:O, 2008:B-Time, and:O, has:O, targeted:O, China:B-Org, and:I-Org, US:I-Org, relations:I-Org, experts:I-Org, ,:O, Defense:B-SecTeam, Department:I-SecTeam, entities:O, ,:O, and:O, geospatial:B-Org, groups:I-Org, within:O, the:O, federal:B-Idus, government: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: 'Government officials said they knew the initial attack occurred in 2011 , but are unaware of who specifically is behind the attacks .' [/INST] [Government:B-Org, officials:I-Org, said:O, they:O, knew:O, the:O, initial:O, attack:B-OffAct, occurred:O, in:O, 2011:B-Time, ,:O, but:O, are:O, unaware:O, of:O, who:O, specifically:O, is:O, behind:O, the:O, attacks:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to Deepen , APT6 has been using spear phishing in tandem with malicious PDF and ZIP attachments or links to malware infected websites that contains a malicious SCR file .' [/INST] [According:O, to:O, Deepen:B-SecTeam, ,:O, APT6:B-HackOrg, has:O, been:O, using:O, spear:B-Way, phishing:I-Way, in:O, tandem:O, with:O, malicious:O, PDF:B-Tool, and:O, ZIP:B-Tool, attachments:O, or:O, links:O, to:O, malware:O, infected:O, websites:O, that:O, contains:O, a:O, malicious:O, SCR: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: 'Nearly a month later , security experts are now shining a bright light on the alert and the mysterious group behind the attack .' [/INST] [Nearly:O, a:O, month:O, later:O, ,:O, security:O, experts:O, are:O, now:O, shining:O, a:O, bright:O, light:O, on:O, the:O, alert:O, and:O, the:O, mysterious:O, group:O, behind:O, the:O, attack:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attacks discussed in this blog are related to an APT campaign commonly referred to as , th3bug , , named for the password the actors often use with their Poison Ivy malware .' [/INST] [The:O, attacks:B-OffAct, discussed:O, in:O, this:O, blog:O, are:O, related:O, to:O, an:O, APT:B-OffAct, campaign:I-OffAct, commonly:O, referred:O, to:O, as:O, ,:O, th3bug:O, ,:O, ,:O, named:O, for:O, the:O, password:O, the:O, actors:O, often:O, use:O, with:O, their:O, Poison:B-Tool, Ivy:I-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: 'Over the summer they compromised several sites , including a well-known Uyghur website written in that native language .' [/INST] [Over:O, the:O, summer:O, they:O, compromised:O, several:O, sites:O, ,:O, including:O, a:O, well-known:O, Uyghur:O, website:O, written:O, in:O, that:O, native: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: 'In contrast to many other APT campaigns , which tend to rely heavily on spear phishing to gain victims , , th3bug , is known for compromising legitimate websites their intended visitors are likely to frequent .' [/INST] [In:O, contrast:O, to:O, many:O, other:O, APT:B-OffAct, campaigns:I-OffAct, ,:O, which:O, tend:O, to:O, rely:O, heavily:O, on:O, spear:B-Way, phishing:I-Way, to:O, gain:O, victims:O, ,:O, ,:O, th3bug:O, ,:O, is:O, known:O, for:O, compromising:O, legitimate:O, websites:O, their:O, intended:O, visitors:O, are:O, likely:O, to:O, frequent:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 we were unable to recover the initial vulnerability used , it is possibly the same CVE-2014-0515 Adobe Flash exploit first reported by Cisco TRAC in late July .' [/INST] [While:O, we:O, were:O, unable:O, to:O, recover:O, the:O, initial:O, vulnerability:O, used:O, ,:O, it:O, is:O, possibly:O, the:O, same:O, CVE-2014-0515:B-Exp, Adobe:B-Exp, Flash:I-Exp, exploit:I-Exp, first:O, reported:O, by:O, Cisco:B-SecTeam, TRAC:I-SecTeam, in:O, late:B-Time, July: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: 'However , to increase success rates APT20 can use zero-day exploits , so even a properly patched system would be compromised .' [/INST] [However:O, ,:O, to:O, increase:O, success:O, rates:O, APT20:B-HackOrg, can:O, use:O, zero-day:B-Exp, exploits:I-Exp, ,:O, so:O, even:O, a:O, properly:O, patched:O, system:O, would:O, be:O, compromised:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our direct observation of in-the-wild spearphishing attacks staged by the Bahamut group have been solely attempts to deceive targets into providing account passwords through impersonation of notices from platform providers .' [/INST] [Our:O, direct:O, observation:O, of:O, in-the-wild:O, spearphishing:B-OffAct, attacks:I-OffAct, staged:O, by:O, the:O, Bahamut:O, group:O, have:O, been:O, solely:O, attempts:O, to:O, deceive:O, targets:O, into:O, providing:O, account:O, passwords:O, through:O, impersonation:O, of:O, notices:O, from:O, platform:B-Org, providers: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: 'Bahamut was first noticed when it targeted a Middle Eastern human rights activist in the first week of January 2017 .' [/INST] [Bahamut:O, was:O, first:O, noticed:O, when:O, it:O, targeted:O, a:O, Middle:B-Org, Eastern:I-Org, human:I-Org, rights:I-Org, activist:I-Org, in:O, the:O, first:O, week:O, of:O, January: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: 'Later that month , the same tactics and patterns were seen in attempts against an Iranian women 's activist – an individual commonly targeted by Iranian actors , such as Charming Kitten and the Sima campaign documented in our 2016 Black Hat talk .' [/INST] [Later:O, that:O, month:O, ,:O, the:O, same:O, tactics:O, and:O, patterns:O, were:O, seen:O, in:O, attempts:O, against:O, an:O, Iranian:B-Org, women:I-Org, 's:I-Org, activist:I-Org, –:O, an:O, individual:B-Org, commonly:O, targeted:O, by:O, Iranian:B-Area, actors:I-Area, ,:O, such:O, as:O, Charming:O, Kitten:O, and:O, the:O, Sima:B-OffAct, campaign:I-OffAct, documented:O, in:O, our:O, 2016:B-Time, Black:O, Hat:O, talk:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 we published on a previously unknown group we named , Bahamut , , a strange campaign of phishing and malware apparently focused on the Middle East and South Asia .' [/INST] [In:O, June:B-Time, we:O, published:O, on:O, a:O, previously:O, unknown:O, group:O, we:O, named:O, ,:O, Bahamut:B-HackOrg, ,:O, ,:O, a:O, strange:O, campaign:B-OffAct, of:O, phishing:B-Way, and:O, malware:O, apparently:O, focused:O, on:O, the:O, Middle:B-Area, East:I-Area, and: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: 'Once inside a network , APT40 uses credential-harvesting tools to gain usernames and passwords , allowing it to expand its reach across the network and move laterally through an environment as it moves to towards the ultimate goal of stealing data .' [/INST] [Once:O, inside:O, a:O, network:O, ,:O, APT40:B-HackOrg, uses:O, credential-harvesting:B-Tool, tools:I-Tool, to:O, gain:O, usernames:O, and:O, passwords:O, ,:O, allowing:O, it:O, to:O, expand:O, its:O, reach:O, across:O, the:O, network:O, and:O, move:O, laterally:O, through:O, an:O, environment:O, as:O, it:O, moves:O, to:O, towards:O, the:O, ultimate:O, goal:O, of:O, stealing: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: 'Bahamut was shown to be resourceful , not only maintaining their own Android malware but running propaganda sites , although the quality of these activities varied noticeably .' [/INST] [Bahamut:B-HackOrg, was:O, shown:O, to:O, be:O, resourceful:O, ,:O, not:O, only:O, maintaining:O, their:O, own:O, Android:B-Tool, malware:I-Tool, but:O, running:B-Purp, propaganda:I-Purp, sites:I-Purp, ,:O, although:O, the:O, quality:O, of:O, these:O, activities:B-OffAct, varied:O, noticeably:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In June we published on a previously unknown group we named , Bahamut , , a strange campaign of phishing and malware apparently focused on the Middle East and South Asia .' [/INST] [In:O, June:B-Time, we:O, published:O, on:O, a:O, previously:O, unknown:O, group:O, we:O, named:O, ,:O, Bahamut:B-HackOrg, ,:O, ,:O, a:O, strange:O, campaign:B-OffAct, of:O, phishing:B-Way, and:O, malware:O, apparently:O, focused:O, on:O, the:O, Middle:B-Area, East:I-Area, and: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: 'Several times , APT5 has targeted organizations and personnel based in Southeast Asia .' [/INST] [Several:O, times:O, ,:O, APT5:B-HackOrg, has:O, targeted:O, organizations:B-Org, and:O, personnel:B-Org, based:O, in:O, Southeast:B-Area, Asia:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , in the same week of September a series of spearphishing attempts once again targeted a set of otherwise unrelated individuals , employing the same tactics as before .' [/INST] [However:O, ,:O, in:O, the:O, same:O, week:O, of:O, September:O, a:O, series:O, of:O, spearphishing:B-Way, attempts:O, once:O, again:O, targeted:O, a:O, set:O, of:O, otherwise:O, unrelated:O, individuals:O, ,:O, employing:O, the:O, same:O, tactics:O, as: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: 'Our primary contribution in this update is to implicate Bahamut in what are likely counterterrorism-motivated surveillance operations , and to further affirm our belief that the group is a hacker-for-hire operation .' [/INST] [Our:O, primary:O, contribution:O, in:O, this:O, update:O, is:O, to:O, implicate:O, Bahamut:O, in:O, what:O, are:O, likely:O, counterterrorism-motivated:O, surveillance:O, operations:O, ,:O, and:O, to:O, further:O, affirm:O, our:O, belief:O, that:O, the:O, group:O, is:O, a:O, hacker-for-hire:O, operation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As we wrote then , compared to Kingphish , Bahamut operates as though it were a generation ahead in terms of professionalism and ambition .' [/INST] [As:O, we:O, wrote:O, then:O, ,:O, compared:O, to:O, Kingphish:O, ,:O, Bahamut:O, operates:O, as:O, though:O, it:O, were:O, a:O, generation:O, ahead:O, in:O, terms:O, of:O, professionalism:O, and:O, ambition:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Bahamut report , we discussed two domains found within our search that were linked with a custom Android malware agent .' [/INST] [In:O, the:O, Bahamut:O, report:O, ,:O, we:O, discussed:O, two:O, domains:B-Tool, found:O, within:O, our:O, search:O, that:O, were:O, linked:O, with:O, a:O, custom:B-Tool, Android:I-Tool, malware:I-Tool, agent: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: 'After the publication of the original report , these sites were taken offline despite the fact that one agent was even updated a six days prior to our post ( the , Khuai , application ) .' [/INST] [After:O, the:O, publication:O, of:O, the:O, original:O, report:O, ,:O, these:O, sites:O, were:O, taken:O, offline:O, despite:O, the:O, fact:O, that:O, one:O, agent:O, was:O, even:O, updated:O, a:O, six:O, days:O, prior:O, to:O, our:O, post:O, (:O, the:O, ,:O, Khuai:B-Tool, ,:O, application:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FIF is notable for its links to the Lashkar-e-Taiba ( LeT ) terrorist organization , which has committed mass-casualty attacks in India in support of establishing Pakistani control over the disputed Jammu and Kashmir border region .' [/INST] [FIF:O, is:O, notable:O, for:O, its:O, links:O, to:O, the:O, Lashkar-e-Taiba:O, (:O, LeT:O, ):O, terrorist:O, organization:O, ,:O, which:O, has:O, committed:O, mass-casualty:O, attacks:O, in:O, India:O, in:O, support:O, of:O, establishing:O, Pakistani:O, control:O, over:O, the:O, disputed:O, Jammu:O, and:O, Kashmir:O, border:O, region:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As a result , it is already flagged as Bahamut by antivirus engines .' [/INST] [As:O, a:O, result:O, ,:O, it:O, is:O, already:O, flagged:O, as:O, Bahamut:O, by:O, antivirus:O, engines:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our initial observation of the Bahamut group originated from in-the-wild attempts to deceive targets into providing account passwords through impersonation of platform providers .' [/INST] [Our:O, initial:O, observation:O, of:O, the:O, Bahamut:O, group:O, originated:O, from:O, in-the-wild:O, attempts:O, to:O, deceive:O, targets:O, into:O, providing:O, account:O, passwords:O, through:O, impersonation:O, of:O, platform:B-Org, providers:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One curious trait of Bahamut is that it develops fully-functional applications in support of its espionage activities , rather than push nonfunctional fake apps or bundle malware with legitimate software .' [/INST] [One:O, curious:O, trait:O, of:O, Bahamut:O, is:O, that:O, it:O, develops:O, fully-functional:O, applications:O, in:O, support:B-Purp, of:I-Purp, its:I-Purp, espionage:I-Purp, activities:I-Purp, ,:O, rather:O, than:O, push:O, nonfunctional:O, fake:O, apps:O, or:O, bundle:O, malware:O, with:O, legitimate:B-Tool, software:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Curiously , Bahamut appears to track password attempts in response to failed phishing attempts or to provoke the target to provide more passwords .' [/INST] [Curiously:O, ,:O, Bahamut:O, appears:O, to:O, track:O, password:O, attempts:O, in:O, response:O, to:O, failed:O, phishing:B-Way, attempts:O, or:O, to:O, provoke:O, the:O, target:O, to:O, provide:B-Purp, more:I-Purp, passwords:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Bahamut spearphishing attempts have also been accompanied with SMS messages purporting to be from Google about security issues on their account , including a class 0 message or , flash text , .' [/INST] [Bahamut:O, spearphishing:B-Way, attempts:O, have:O, also:O, been:O, accompanied:O, with:O, SMS:O, messages:O, purporting:O, to:O, be:O, from:O, Google:B-Org, about:O, security:O, issues:O, on:O, their:O, account:O, ,:O, including:O, a:O, class:O, 0:O, message:O, or:O, ,:O, flash:O, text:O, ,:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These text messages did not include links but are intended to build credibility around the fake service notifications later sent to the target 's email address .' [/INST] [These:O, text:O, messages:O, did:O, not:O, include:O, links:O, but:O, are:O, intended:O, to:O, build:O, credibility:O, around:O, the:O, fake:O, service:O, notifications:O, later:O, sent:O, to:O, the:O, target:O, 's:O, email:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We have not found evidence of Bahamut engaging in crime or operating outside its limited geographic domains , although this narrow perspective could be accounted for by its compartmentalization of operations .' [/INST] [We:O, have:O, not:O, found:O, evidence:O, of:O, Bahamut:B-HackOrg, engaging:O, in:O, crime:O, or:O, operating:O, outside:O, its:O, limited:O, geographic:O, domains:O, ,:O, although:O, this:O, narrow:O, perspective:O, could:O, be:O, accounted:O, for:O, by:O, its:O, compartmentalization:O, of: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: 'Thus far , Bahamut 's campaigns have appeared to be primarily espionage or information operations – not destructive attacks or fraud .' [/INST] [Thus:O, far:O, ,:O, Bahamut:B-HackOrg, 's:O, campaigns:B-OffAct, have:O, appeared:O, to:O, be:O, primarily:B-Purp, espionage:I-Purp, or:O, information:B-Purp, operations:I-Purp, –:O, not:O, destructive:B-OffAct, attacks:I-OffAct, or:O, fraud:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The targets and themes of Bahamut 's campaigns have consistently fallen within two regions – South Asia ( primarily Pakistan , specifically Kashmir ) and the Middle East ( from Morocco to Iran ) .' [/INST] [The:O, targets:O, and:O, themes:O, of:O, Bahamut:O, 's:O, campaigns:B-OffAct, have:O, consistently:O, fallen:O, within:O, two:O, regions:O, –:O, South:B-Area, Asia:I-Area, (:O, primarily:O, Pakistan:B-Area, ,:O, specifically:O, Kashmir:B-Area, ):O, and:O, the:O, Middle:O, East:O, (:O, from:O, Morocco:O, to:O, Iran:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our prior publication also failed to acknowledge immensely valuable input from a number of colleagues , including Nadim Kobeissi 's feedback on how the API endpoints on the Android malware were encrypted .' [/INST] [Our:O, prior:O, publication:O, also:O, failed:O, to:O, acknowledge:O, immensely:O, valuable:O, input:O, from:O, a:O, number:O, of:O, colleagues:O, ,:O, including:O, Nadim:O, Kobeissi:O, 's:O, feedback:O, on:O, how:O, the:O, API:O, endpoints:O, on:O, the:O, Android:B-Tool, malware:I-Tool, were:O, encrypted:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Bahamut targeted similar Qatar-based individuals during their campaign .' [/INST] [Bahamut:B-HackOrg, targeted:O, similar:O, Qatar-based:B-Area, individuals:O, during:O, their:O, campaign:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Bellingcat also reported the domain had been used previously to host potential decoy documents as detailed in VirusTotal here using hxxp://voguextra.com/decoy.doc .' [/INST] [Bellingcat:B-SecTeam, also:O, reported:O, the:O, domain:O, had:O, been:O, used:O, previously:O, to:O, host:O, potential:O, decoy:B-SamFile, documents:I-SamFile, as:O, detailed:O, in:O, VirusTotal:O, here:O, using:O, hxxp://voguextra.com/decoy.doc: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 China-backed BARIUM APT is suspected to be at the helm of the project .' [/INST] [The:O, China-backed:O, BARIUM:O, APT:O, is:O, suspected:O, to:O, be:O, at:O, the:O, helm:O, of:O, the:O, project:O, .:O] </s> |
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