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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: 'From mid-2017 to mid-2018 , Whitefly launched targeted attacks against multiple organizations .' [/INST] [From:O, mid-2017:B-Time, to:O, mid-2018:B-Time, ,:O, Whitefly:B-HackOrg, launched:O, targeted:B-OffAct, attacks:I-OffAct, against:O, multiple:O, organizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While most of these organizations were based in Singapore , some were multinational organizations with a presence in Singapore .' [/INST] [While:O, most:O, of:O, these:O, organizations:O, were:O, based:O, in:O, Singapore:O, ,:O, some:O, were:O, multinational:O, organizations:O, with:O, a:O, presence:O, in:O, Singapore: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: 'To date , Whitefly has attacked organizations in the healthcare , media , telecommunications , and engineering sectors .' [/INST] [To:O, date:O, ,:O, Whitefly:B-HackOrg, has:O, attacked:O, organizations:O, in:O, the:O, healthcare:B-Idus, ,:O, media:B-Idus, ,:O, telecommunications:B-Idus, ,:O, and:O, engineering:B-Org, sectors: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: 'Whitefly first infects its victims using a dropper in the form of a malicious.exe or .dll file that is disguised as a document or image .' [/INST] [Whitefly:B-HackOrg, first:O, infects:O, its:O, victims:O, using:O, a:O, dropper:B-Tool, in:O, the:O, form:O, of:O, a:O, malicious.exe:B-SamFile, or:O, .dll:B-SamFile, file:I-SamFile, that:O, is:O, disguised:O, as:O, a:O, document:O, or:O, image:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If opened , the dropper runs a loader known as Trojan.Vcrodat on the computer .' [/INST] [If:O, opened:O, ,:O, the:O, dropper:B-Tool, runs:O, a:O, loader:O, known:O, as:O, Trojan.Vcrodat:B-Tool, on:O, the:O, computer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Whitefly has consistently used a technique known as search order hijacking to run Vcrodat .' [/INST] [Whitefly:B-HackOrg, has:O, consistently:O, used:O, a:O, technique:O, known:O, as:O, search:B-Tool, order:I-Tool, hijacking:I-Tool, to:O, run:O, Vcrodat: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: 'Once executed , Vcrodat loads an encrypted payload on to the victim 's computer .' [/INST] [Once:O, executed:O, ,:O, Vcrodat:B-Tool, loads:O, an:O, encrypted:O, payload:O, on:O, to:O, the:O, victim:O, 's:O, computer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Whitefly rely heavily on tools such as Mimikatz to obtain credentials .' [/INST] [Whitefly:B-HackOrg, rely:O, heavily:O, on:O, tools:O, such:O, as:O, Mimikatz:B-Tool, to:O, obtain:O, credentials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Using these credentials , the attackers are able to compromise more machines on the network and , from those machines , again obtain more credentials .' [/INST] [Using:O, these:O, credentials:B-Tool, ,:O, the:O, attackers:O, are:O, able:O, to:O, compromise:O, more:O, machines:O, on:O, the:O, network:O, and:O, ,:O, from:O, those:O, machines:O, ,:O, again:O, obtain:O, more:O, credentials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Whitefly usually attempts to remain within a targeted organization for long periods of time—often months—in order to steal large volumes of information .' [/INST] [Whitefly:B-HackOrg, usually:O, attempts:O, to:O, remain:O, within:O, a:O, targeted:O, organization:O, for:O, long:O, periods:O, of:O, time—often:O, months—in:O, order:O, to:O, steal:O, large:O, volumes:O, of:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In order to carry out this operation , it uses publicly available tools , including Mimikatz ( Hacktool.Mimikatz ) and an open-source tool that exploits a known Windows privilege escalation vulnerability ( CVE-2016-0051 ) on unpatched computers .' [/INST] [In:O, order:O, to:O, carry:O, out:O, this:O, operation:O, ,:O, it:O, uses:O, publicly:B-Tool, available:I-Tool, tools:I-Tool, ,:O, including:O, Mimikatz:B-Tool, (:O, Hacktool.Mimikatz:B-Tool, ):O, and:O, an:O, open-source:O, tool:O, that:O, exploits:O, a:O, known:O, Windows:O, privilege:O, escalation:O, vulnerability:O, (:O, CVE-2016-0051:B-Exp, ):O, on:O, unpatched:O, computers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Like Vcrodat , Nibatad is also a loader that leverages search order hijacking , and downloads an encrypted payload to the infected computer .' [/INST] [Like:O, Vcrodat:B-Tool, ,:O, Nibatad:B-Tool, is:O, also:O, a:O, loader:O, that:O, leverages:O, search:O, order:O, hijacking:O, ,:O, and:O, downloads:O, an:O, encrypted:O, payload:O, to:O, the:O, infected:O, computer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Why Whitefly uses these two different loaders in some of its attacks remains unknown .' [/INST] [Why:O, Whitefly:B-HackOrg, uses:O, these:O, two:O, different:O, loaders:B-Tool, in:O, some:O, of:O, its:O, attacks:B-OffAct, remains:O, unknown:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Vcrodat is delivered via the malicious dropper , we have yet to discover how Nibatad is delivered to the infected computer .' [/INST] [While:O, Vcrodat:B-Tool, is:O, delivered:O, via:O, the:O, malicious:O, dropper:B-Tool, ,:O, we:O, have:O, yet:O, to:O, discover:O, how:O, Nibatad:B-Tool, is:O, delivered:O, to:O, the:O, infected:O, computer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Between May 2017 and December 2018 , a multi-purpose command tool that has been used by Whitefly was also used in attacks against defense , telecoms , and energy targets in Southeast Asia and Russia .' [/INST] [Between:O, May:B-Time, 2017:I-Time, and:O, December:B-Time, 2018:I-Time, ,:O, a:O, multi-purpose:O, command:O, tool:O, that:O, has:O, been:O, used:O, by:O, Whitefly:B-HackOrg, was:O, also:O, used:O, in:O, attacks:B-OffAct, against:O, defense:B-Idus, ,:O, telecoms:B-Idus, ,:O, and:O, energy:B-Idus, targets:O, in:O, Southeast:B-Area, Asia:I-Area, and:O, Russia:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In another case , Vcrodat was also used in an attack on a UK-based organization in the hospitality sector .' [/INST] [In:O, another:O, case:O, ,:O, Vcrodat:B-Tool, was:O, also:O, used:O, in:O, an:O, attack:B-OffAct, on:O, a:O, UK-based:B-Area, organization:O, in:O, the:O, hospitality:B-Org, sector: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: 'Whitefly is a highly adept group with a large arsenal of tools at its disposal , capable of penetrating targeted organizations and maintaining a long-term presence on their networks .' [/INST] [Whitefly:B-HackOrg, is:O, a:O, highly:O, adept:O, group:O, with:O, a:O, large:O, arsenal:O, of:O, tools:O, at:O, its:O, disposal:O, ,:O, capable:O, of:O, penetrating:O, targeted:O, organizations:O, and:O, maintaining:O, a:O, long-term:O, presence:O, on:O, their:O, networks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'WICKED PANDA has also targeted chemical and think tank sectors around the world .' [/INST] [WICKED:O, PANDA:O, has:O, also:O, targeted:O, chemical:B-Idus, and:O, think:B-Org, tank:I-Org, sectors: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 WICKED PANDA adversary makes use of a number of open-source and custom tools to infect and move laterally in victim networks .' [/INST] [The:O, WICKED:B-HackOrg, PANDA:I-HackOrg, adversary:O, makes:O, use:O, of:O, a:O, number:O, of:O, open-source:O, and:O, custom:B-Tool, tools:I-Tool, to:O, infect:O, and:O, move:O, laterally:O, in:O, victim:O, networks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'WICKED PANDA refers to the targeted intrusion operations of the actor publicly known as , Winnti , , whereas WICKED SPIDER represents this group 's financially-motivated criminal activity .' [/INST] [WICKED:B-HackOrg, PANDA:I-HackOrg, refers:O, to:O, the:O, targeted:O, intrusion:O, operations:O, of:O, the:O, actor:O, publicly:O, known:O, as:O, ,:O, Winnti:O, ,:O, ,:O, whereas:O, WICKED:B-HackOrg, SPIDER:I-HackOrg, represents:O, this:O, group:O, 's:O, financially-motivated:O, criminal: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: 'WICKED SPIDER has been observed targeting technology companies in Germany , Indonesia , the Russian Federation , South Korea , Sweden , Thailand , Turkey , the United States , and elsewhere .' [/INST] [WICKED:B-HackOrg, SPIDER:I-HackOrg, has:O, been:O, observed:O, targeting:O, technology:B-Org, companies:I-Org, in:O, Germany:B-Area, ,:O, Indonesia:B-Area, ,:O, the:O, Russian:B-Area, Federation:B-Area, ,:O, South:B-Area, Korea:I-Area, ,:O, Sweden:B-Area, ,:O, Thailand:B-Area, ,:O, Turkey:B-Area, ,:O, the:O, United:B-Area, States:I-Area, ,:O, and:O, elsewhere:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Subsequently , two additional articles ( here and here ) were released by Objective-See which provide an analysis of some validated WINDSHIFT samples targeting OSX systems .' [/INST] [Subsequently:O, ,:O, two:O, additional:O, articles:O, (:O, here:O, and:O, here:O, ):O, were:O, released:O, by:O, Objective-See:B-SecTeam, which:O, provide:O, an:O, analysis:O, of:O, some:O, validated:O, WINDSHIFT:B-Tool, samples:I-Tool, targeting:O, OSX: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: 'Pivoting on specific file attributes and infrastructure indicators , Unit 42 was able to identify and correlate additional attacker activity and can now provide specific details on a targeted WINDSHIFT attack as it unfolded at a Middle Eastern government agency .' [/INST] [Pivoting:O, on:O, specific:O, file:O, attributes:O, and:O, infrastructure:O, indicators:O, ,:O, Unit:B-SecTeam, 42:I-SecTeam, was:O, able:O, to:O, identify:O, and:O, correlate:O, additional:O, attacker:B-OffAct, activity:I-OffAct, and:O, can:O, now:O, provide:O, specific:O, details:O, on:O, a:O, targeted:O, WINDSHIFT:B-OffAct, attack:I-OffAct, as:O, it:O, unfolded:O, at:O, a:O, Middle:B-Area, Eastern:B-Area, government:B-Org, agency: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 following is a summary of observed WINDSHIFT activity which targeted a Middle Eastern government agency .' [/INST] [The:O, following:O, is:O, a:O, summary:O, of:O, observed:O, WINDSHIFT:B-OffAct, activity:I-OffAct, which:O, targeted:O, a:O, Middle:O, Eastern:O, government:B-Org, agency: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 WIZARD SPIDER threat group is the Russia-based operator of the TrickBot banking malware .' [/INST] [The:O, WIZARD:B-HackOrg, SPIDER:I-HackOrg, threat:I-HackOrg, group:I-HackOrg, is:O, the:O, Russia-based:B-Area, operator:O, of:O, the:O, TrickBot:B-Tool, banking: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: 'Whitefly configures multiple C&C domains for each target .' [/INST] [Whitefly:B-HackOrg, configures:O, multiple:O, C&C:O, domains:O, for:O, each:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In some attacks , Whitefly has used a second piece of custom malware , Trojan.Nibatad .' [/INST] [In:O, some:O, attacks:B-OffAct, ,:O, Whitefly:O, has:O, used:O, a:O, second:O, piece:O, of:O, custom:O, malware:O, ,:O, Trojan.Nibatad: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: 'LUNAR SPIDER had already introduced BokBot to the criminal market at the time Neverquest operations ceased , suggesting that the malware change may have been planned .' [/INST] [LUNAR:B-HackOrg, SPIDER:I-HackOrg, had:O, already:O, introduced:O, BokBot:B-Tool, to:O, the:O, criminal:O, market:O, at:O, the:O, time:O, Neverquest:O, operations:O, ceased:O, ,:O, suggesting:O, that:O, the:O, malware:O, change:O, may:O, have:O, been:O, planned:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Its origins can be traced back to the Storm Worm , a botnet that emerged in 2007 and was one of the earliest criminal malware infrastructures to leverage peer-to-peer technology .' [/INST] [Its:O, origins:O, can:O, be:O, traced:O, back:O, to:O, the:O, Storm:O, Worm:O, ,:O, a:O, botnet:O, that:O, emerged:O, in:O, 2007:B-Time, and:O, was:O, one:O, of:O, the:O, earliest:O, criminal:O, malware:O, infrastructures:O, to:O, leverage:O, peer-to-peer:O, technology: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: 'After the demise of Storm , it was replaced by another new botnet known as Waledac that also leveraged peer-to-peer communications .' [/INST] [After:O, the:O, demise:O, of:O, Storm:O, ,:O, it:O, was:O, replaced:O, by:O, another:O, new:O, botnet:O, known:O, as:O, Waledac:B-Tool, that:O, also:O, leveraged:O, peer-to-peer:B-Way, communications:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Although BokBot has aided the distribution of TrickBot since 2017 , the development of custom TrickBot modules for the specific campaign has not been observed before .' [/INST] [Although:O, BokBot:B-Tool, has:O, aided:O, the:O, distribution:O, of:O, TrickBot:B-Tool, since:O, 2017:B-Time, ,:O, the:O, development:O, of:O, custom:O, TrickBot:B-Tool, modules:I-Tool, for:O, the:O, specific:O, campaign:B-OffAct, has:O, not:O, been:O, observed: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: 'Kelihos , like many others , implemented a sophisticated spam engine that automatically constructs spam messages from templates and additional inputs to avoid any patterns that can be used in filters .' [/INST] [Kelihos:B-Tool, ,:O, like:O, many:O, others:O, ,:O, implemented:O, a:O, sophisticated:O, spam:O, engine:O, that:O, automatically:O, constructs:O, spam:O, messages:O, from:O, templates:O, and:O, additional:O, inputs:O, to:O, avoid:O, any:O, patterns:O, that:O, can:O, be:O, used:O, in:O, filters:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 second attack that targeted the host 154.46.32.129 started on March 14 , 2017 at 14:44:42 GMT .' [/INST] [A:O, second:O, attack:B-OffAct, that:O, targeted:O, the:O, host:O, 154.46.32.129:O, started:O, on:O, March:B-Time, 14:I-Time, ,:O, 2017:B-Time, at:O, 14:44:42:O, GMT:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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:I-Time, 2018:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With the Kelihos spam botnet no longer in operation and Levashov behind bars , multiple criminal operators turned to different spam botnets to distribute their crimeware .' [/INST] [With:O, the:O, Kelihos:B-Tool, spam:I-Tool, botnet:I-Tool, no:O, longer:O, in:O, operation:O, and:O, Levashov:O, behind:O, bars:O, ,:O, multiple:O, criminal:O, operators:O, turned:O, to:O, different:O, spam:O, botnets:O, to:O, distribute:O, their:O, crimeware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CraP2P has frequently been used to distribute other malware such as Locky and Dridex , but also supported large scale spam campaigns for dating advertisement and pump-and-dump scams after the demise of Kelihos .' [/INST] [CraP2P:B-SamFile, has:O, frequently:O, been:O, used:O, to:O, distribute:O, other:O, malware:O, such:O, as:O, Locky:B-Tool, and:O, Dridex:B-Tool, ,:O, but:O, also:O, supported:O, large:O, scale:O, spam:B-OffAct, campaigns:I-OffAct, for:O, dating:O, advertisement:O, and:O, pump-and-dump:O, scams:O, after:O, the:O, demise:O, of:O, Kelihos:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The first attack occurred in early January of 2018 with an inbound WINDTAIL sample ( the backdoor family used by WINDSHIFT ) originating from the remote IP address 109.235.51.110 to a single internal IP address within the government agency .' [/INST] [The:O, first:O, attack:B-OffAct, occurred:O, in:O, early:O, January:B-Time, of:I-Time, 2018:I-Time, with:O, an:O, inbound:O, WINDTAIL:B-Tool, sample:I-Tool, (:O, the:O, backdoor:O, family:O, used:O, by:O, WINDSHIFT:B-Tool, ):O, originating:O, from:O, the:O, remote:O, IP:O, address:O, 109.235.51.110:O, to:O, a:O, single:O, internal:O, IP:O, address:O, within:O, the:O, government:B-Org, agency: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: 'Unit 42 assesses with high confidence that both the IP address 185.25.50.189 and the domain domforworld.com is associated with WINDSHIFT activity .' [/INST] [Unit:B-SecTeam, 42:I-SecTeam, assesses:O, with:O, high:O, confidence:O, that:O, both:O, the:O, IP:O, address:O, 185.25.50.189:O, and:O, the:O, domain:O, domforworld.com:O, is:O, associated:O, with:O, WINDSHIFT: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: 'The CrowdStrike Falcon Intelligence team , which had been tracking Levashov as the adversary called ZOMBIE SPIDER , was able to help law enforcement seize control of the Kelihos botnet so that it could no longer be used by criminal actors .' [/INST] [The:O, CrowdStrike:B-SecTeam, Falcon:I-SecTeam, Intelligence:I-SecTeam, team:O, ,:O, which:O, had:O, been:O, tracking:O, Levashov:O, as:O, the:O, adversary:O, called:O, ZOMBIE:B-HackOrg, SPIDER:I-HackOrg, ,:O, was:O, able:O, to:O, help:O, law:O, enforcement:O, seize:O, control:O, of:O, the:O, Kelihos:O, botnet:O, so:O, that:O, it:O, could:O, no:O, longer:O, be:O, used:O, by:O, criminal:O, actors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 past few years , Animal Farm has targeted a wide range of global organizations .' [/INST] [Over:O, the:O, past:O, few:O, years:O, ,:O, Animal:B-HackOrg, Farm:I-HackOrg, has:O, targeted:O, a:O, wide:O, range:O, of:O, global:O, organizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group has been active since at least 2009 and there are signs that earlier malware versions were developed as far back as 2007 .' [/INST] [The:O, group:O, has:O, been:O, active:O, since:O, at:O, least:O, 2009:B-Time, and:O, there:O, are:O, signs:O, that:O, earlier:O, malware:O, versions:O, were:O, developed:O, as:O, far:O, back:O, as: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: 'Over the years Kaspersky is tracked multiple campaigns by the Animal Farm group .' [/INST] [Over:O, the:O, years:O, Kaspersky:B-SecTeam, is:O, tracked:O, multiple:O, campaigns:B-OffAct, by:O, the:O, Animal:B-HackOrg, Farm:I-HackOrg, group:I-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Most recently , Animal Farm deployed the Casper Trojan via a watering-hole attack in Syria .' [/INST] [Most:O, recently:O, ,:O, Animal:B-HackOrg, Farm:I-HackOrg, deployed:O, the:O, Casper:B-Tool, Trojan:I-Tool, via:O, a:O, watering-hole:B-OffAct, attack:I-OffAct, in:O, Syria:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 full description of this zero-day attack can be found in this blog post by Kaspersky Lab 's Vyacheslav Zakorzhevsky .' [/INST] [A:O, full:O, description:O, of:O, this:O, zero-day:B-OffAct, attack:I-OffAct, can:O, be:O, found:O, in:O, this:O, blog:O, post:O, by:O, Kaspersky:B-SecTeam, Lab:I-SecTeam, 's:O, Vyacheslav:O, Zakorzhevsky:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to these , the Animal Farm attackers used at least one unknown , mysterious malware during an operation targeting computer users in Burkina Faso .' [/INST] [In:O, addition:O, to:O, these:O, ,:O, the:O, Animal:O, Farm:O, attackers:O, used:O, at:O, least:O, one:O, unknown:O, ,:O, mysterious:O, malware:O, during:O, an:O, operation:O, targeting:O, computer:O, users:B-Org, in:O, Burkina:O, Faso:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware known as Tafacalou ( aka , TFC , , , Transporter , ) is perhaps of greatest interest here , because it acts as an entry point for the more sophisticated spy platforms Babar and Dino .' [/INST] [The:O, malware:O, known:O, as:O, Tafacalou:B-Tool, (:O, aka:O, ,:O, TFC:B-Tool, ,:O, ,:O, ,:O, Transporter:B-Tool, ,:O, ):O, is:O, perhaps:O, of:O, greatest:O, interest:O, here:O, ,:O, because:O, it:O, acts:O, as:O, an:O, entry:O, point:O, for:O, the:O, more:O, sophisticated:O, spy:O, platforms:O, Babar:B-Tool, and:O, Dino: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: 'Based on the Tafacalou infection logs , we observed that most of the victims are in the following countries : Syria , Iran , Malaysia , USA , China , Turkey , Netherlands , Germany , Great Britain , Russia , Sweden , Austria , Algeria , Israel , Iraq , Morocco , New Zealand , Ukraine .' [/INST] [Based:O, on:O, the:O, Tafacalou:B-Tool, infection:O, logs:O, ,:O, we:O, observed:O, that:O, most:O, of:O, the:O, victims:O, are:O, in:O, the:O, following:O, countries:O, ::O, Syria:B-Area, ,:O, Iran:B-Area, ,:O, Malaysia:B-Area, ,:O, USA:B-Area, ,:O, China:B-Area, ,:O, Turkey:B-Area, ,:O, Netherlands:B-Area, ,:O, Germany:B-Area, ,:O, Great:B-Area, Britain:I-Area, ,:O, Russia:B-Area, ,:O, Sweden:B-Area, ,:O, Austria:B-Area, ,:O, Algeria:B-Area, ,:O, Israel:B-Area, ,:O, Iraq:B-Area, ,:O, Morocco:B-Area, ,:O, New:B-Area, Zealand:I-Area, ,: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: 'In 2013 , both COSEINC and FireEye revealed attacks using Bisonal against Japanese organizations .' [/INST] [In:O, 2013:B-Time, ,:O, both:O, COSEINC:B-SecTeam, and:O, FireEye:B-SecTeam, revealed:O, attacks:B-OffAct, using:O, Bisonal:B-Tool, against:O, Japanese:B-Area, organizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In October 2017 , AhnLab published a report called , Operation Bitter Biscuit , , an attack campaign against South Korea , Japan , India and Russia using Bisonal and its successors , Bioazih and Dexbia .' [/INST] [In:O, October:B-Time, 2017:I-Time, ,:O, AhnLab:B-SecTeam, published:O, a:O, report:O, called:O, ,:O, Operation:B-OffAct, Bitter:I-OffAct, Biscuit:I-OffAct, ,:O, ,:O, an:O, attack:B-OffAct, campaign:I-OffAct, against:O, South:B-Area, Korea:I-Area, ,:O, Japan:B-Area, ,:O, India:B-Area, and:O, Russia:B-Area, using:O, Bisonal:B-Tool, and:O, its:O, successors:O, ,:O, Bioazih:B-Tool, and:O, Dexbia:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We observed all these characteristics in the Bisonal 's attacks against both Russia and South Korea .' [/INST] [We:O, observed:O, all:O, these:O, characteristics:O, in:O, the:O, Bisonal:B-Tool, 's:O, attacks:B-OffAct, against:O, both:O, Russia:B-Area, and:O, South:B-Area, Korea:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We observed all these characteristics in the Bisonal 's attacks against both Russia and South Korea .' [/INST] [We:O, observed:O, all:O, these:O, characteristics:O, in:O, the:O, Bisonal:B-Tool, 's:O, attacks:B-OffAct, against:O, both:O, Russia:B-Area, and:O, South:B-Area, Korea:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The biggest number of Orangeworm 's victims are located in the U.S. , accounting for 17 percent of the infection rate by region .' [/INST] [The:O, biggest:O, number:O, of:O, Orangeworm:O, 's:O, victims:O, are:O, located:O, in:O, the:O, U.S.:B-Area, ,:O, accounting:O, for:O, 17:O, percent:O, of:O, the:O, infection:O, rate:O, by: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: 'In the campaign that targeted Japan , Philippines , and Argentina on June 20 , we found what seems to be a new , undisclosed malware , which we named Gelup .' [/INST] [In:O, the:O, campaign:O, that:O, targeted:O, Japan:B-Area, ,:O, Philippines:B-Area, ,:O, and:O, Argentina:B-Area, on:O, June:B-Time, 20:I-Time, ,:O, we:O, found:O, what:O, seems:O, to:O, be:O, a:O, new:O, ,:O, undisclosed:O, malware:O, ,:O, which:O, we:O, named:O, Gelup: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: 'Also , some code pieces are directly re-used in the analyzed campaigns , such as the i.cmd” and exit.exe” files , and , at the same time , some new components have been introduced , for instance the rtegre.exe” and the veter1605_MAPS_10cr0.exe” file .' [/INST] [Also:O, ,:O, some:O, code:O, pieces:O, are:O, directly:O, re-used:O, in:O, the:O, analyzed:O, campaigns:O, ,:O, such:O, as:O, the:O, i.cmd”:B-SamFile, and:O, exit.exe”:B-SamFile, files:O, ,:O, and:O, ,:O, at:O, the:O, same:O, time:O, ,:O, some:O, new:O, components:O, have:O, been:O, introduced:O, ,:O, for:O, instance:O, the:O, rtegre.exe”:B-SamFile, and:O, the:O, veter1605_MAPS_10cr0.exe”:B-SamFile, 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: 'Neptun is installed on Microsoft Exchange servers and is designed to passively listen for commands from the attackers .' [/INST] [Neptun:B-SamFile, is:O, installed:O, on:O, Microsoft:O, Exchange:O, servers:O, and:O, is:O, designed:O, to:O, passively:O, listen:B-Features, for:I-Features, commands:I-Features, from:O, the:O, attackers: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 malware then uses WebDAV to upload the RAR archive to a Box account .' [/INST] [The:O, malware:B-SamFile, then:O, uses:O, WebDAV:B-Tool, to:O, upload:O, the:O, RAR:B-SamFile, archive:I-SamFile, to:O, a:O, Box:O, account:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 PowerShell script will look at the architecture of the system to check which malicious DLL files should be downloaded .' [/INST] [The:O, PowerShell:B-Tool, script:I-Tool, will:O, look:O, at:O, the:O, architecture:O, of:O, the:O, system:O, to:O, check:O, which:O, malicious:B-SamFile, DLL:I-SamFile, files:I-SamFile, should:O, be:O, downloaded:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'McAfee Advanced Threat research determines with confidence that Lazarus is the threat group behind this attack for the following reasons:Contacts an IP address / domain that was used to host a malicious document from a Lazarus previous campaign in 2017 .' [/INST] [McAfee:B-SecTeam, Advanced:O, Threat:O, research:O, determines:O, with:O, confidence:O, that:O, Lazarus:B-HackOrg, is:O, the:O, threat:O, group:O, behind:O, this:O, attack:O, for:O, the:O, following:O, reasons:Contacts:O, an:O, IP:O, address:O, /:O, domain:O, that:O, was:O, used:O, to:O, host:O, a:O, malicious:B-SamFile, document:I-SamFile, from:O, a:O, Lazarus:B-HackOrg, previous:O, campaign:O, in:O, 2017:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to security 360 Threat Intelligence Center , Goldmouse was observed deploying the nebulous njRAT backdoor .' [/INST] [According:O, to:O, security:O, 360:B-SecTeam, Threat:I-SecTeam, Intelligence:I-SecTeam, Center:I-SecTeam, ,:O, Goldmouse:O, was:O, observed:O, deploying:O, the:O, nebulous:O, njRAT:B-SamFile, backdoor: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: 'Additionally Kaspersky identified a new backdoor that we attribute with medium confidence to Turla .' [/INST] [Additionally:O, Kaspersky:B-SecTeam, identified:O, a:O, new:O, backdoor:B-SamFile, that:O, we:O, attribute:O, with:O, medium:O, confidence:O, to:O, Turla:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trend Micro also reported MuddyWater’s use of a new multi-stage PowerShell-based backdoor called POWERSTATS v3 .' [/INST] [Trend:B-SecTeam, Micro:I-SecTeam, also:O, reported:O, MuddyWater’s:B-HackOrg, use:O, of:O, a:O, new:O, multi-stage:O, PowerShell-based:O, backdoor:O, called:O, POWERSTATS:B-SamFile, v3:I-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ESET recently analyzed a new Mac OS sample from the OceanLotus group that had been uploaded to VirusTotal .' [/INST] [ESET:B-SecTeam, recently:O, analyzed:O, a:O, new:O, Mac:O, OS:O, sample:B-SamFile, from:O, the:O, OceanLotus:B-HackOrg, group:O, that:O, had:O, been:O, uploaded:B-Way, to:I-Way, VirusTotal:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Each of the spear phishing attacks contained links to .doc files , which were really RTF documents that attempt to exploit CVE-2017-8570 ( Composite Moniker ) .' [/INST] [Each:O, of:O, the:O, spear:B-OffAct, phishing:I-OffAct, attacks:I-OffAct, contained:O, links:O, to:O, .doc:B-Tool, files:I-Tool, ,:O, which:O, were:O, really:O, RTF:B-SamFile, documents:I-SamFile, that:O, attempt:O, to:O, exploit:O, CVE-2017-8570:B-Exp, (:O, Composite:B-Exp, Moniker:B-Exp, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'At this point , the attackers know the user has opened the document and send another spear-phishing email , this time containing an MS Word document with an embedded executable .' [/INST] [At:O, this:O, point:O, ,:O, the:O, attackers:B-HackOrg, know:O, the:O, user:O, has:O, opened:O, the:O, document:O, and:O, send:O, another:O, spear-phishing:B-Way, email:I-Way, ,:O, this:O, time:O, containing:O, an:O, MS:B-SamFile, Word:I-SamFile, document:I-SamFile, with:O, an:O, embedded:O, executable:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Word document usually exploits CVE-2012-0158 .' [/INST] [The:O, Word:B-SamFile, document:I-SamFile, usually:O, exploits:O, CVE-2012-0158:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sometimes the attackers send an MS PowerPoint document instead , which exploits CVE-2014-6352 .' [/INST] [Sometimes:O, the:O, attackers:B-HackOrg, send:O, an:O, MS:B-SamFile, PowerPoint:I-SamFile, document:I-SamFile, instead:O, ,:O, which:O, exploits:O, CVE-2014-6352:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sometimes Patchwork send an MS PowerPoint document instead , which exploits CVE-2014-6352 .' [/INST] [Sometimes:O, Patchwork:B-HackOrg, send:O, an:O, MS:B-SamFile, PowerPoint:I-SamFile, document:I-SamFile, instead:O, ,:O, which:O, exploits:O, CVE-2014-6352:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malicious documents seen in recent activity refer to a number of topics , including recent military promotions within the Pakistan Army , information related to the Pakistan Atomic Energy Commission , as well as Pakistan 's Ministry of the Interior .' [/INST] [The:O, malicious:B-SamFile, documents:I-SamFile, seen:O, in:O, recent:O, activity:B-OffAct, refer:O, to:O, a:O, number:O, of:O, topics:O, ,:O, including:O, recent:O, military:O, promotions:O, within:O, the:O, Pakistan:B-Idus, Army:I-Idus, ,:O, information:O, related:O, to:O, the:O, Pakistan:B-Area, Atomic:O, Energy:O, Commission:O, ,:O, as:O, well:O, as:O, Pakistan:B-Area, 's:O, Ministry:O, of:O, the:O, Interior:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malicious documents that Unit 42 examined contained legitimate decoy lures as well as malicious embedded EPS files targeting the CVE-2015-2545 and CVE-2017-0261 vulnerabilities .' [/INST] [The:O, malicious:O, documents:O, that:O, Unit:B-SecTeam, 42:I-SecTeam, examined:O, contained:O, legitimate:O, decoy:O, lures:O, as:O, well:O, as:O, malicious:O, embedded:O, EPS:B-SamFile, files:I-SamFile, targeting:O, the:O, CVE-2015-2545:B-Exp, and:O, CVE-2017-0261:B-Exp, vulnerabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One of the favorite methods used by the Pitty Tiger group to infect users is to use a Microsoft Office Word document which exploits a specific vulnerability ( CVE-2012-0158 ) .' [/INST] [One:O, of:O, the:O, favorite:O, methods:O, used:O, by:O, the:O, Pitty:B-HackOrg, Tiger:I-HackOrg, group:I-HackOrg, to:O, infect:O, users:O, is:O, to:O, use:O, a:O, Microsoft:B-SamFile, Office:I-SamFile, Word:I-SamFile, document:I-SamFile, which:O, exploits:O, a:O, specific:O, vulnerability:O, (:O, CVE-2012-0158:B-Exp, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 threat group uses a first-stage malware known as Backdoor.APT.Pgift ( aka Troj/ReRol.A ) , which is dropped via malicious documents and connects back to a C2 server .' [/INST] [This:O, threat:B-HackOrg, group:I-HackOrg, uses:O, a:O, first-stage:O, malware:O, known:O, as:O, Backdoor.APT.Pgift:B-SamFile, (:O, aka:O, Troj/ReRol.A:O, ):O, ,:O, which:O, is:O, dropped:O, via:O, malicious:O, documents:O, and:O, connects:O, back:O, to:O, a:O, C2:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Backdoor.APT.PittyTiger1.3 ( aka CT RAT ) – This malware is likely used as a second-stage backdoor .' [/INST] [Backdoor.APT.PittyTiger1.3:B-SamFile, (:O, aka:O, CT:B-Tool, RAT:I-Tool, ):O, –:O, This:O, malware:O, is:O, likely:O, used:O, as:O, a:O, second-stage:B-Tool, backdoor: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 have observed the Enfal malware in use since 2011 and in conjunction with Backdoor.APT.Pgift as the payload of a malicious document used in spearphishing attacks .' [/INST] [We:O, have:O, observed:O, the:O, Enfal:B-Tool, malware:I-Tool, in:O, use:O, since:O, 2011:B-Time, and:O, in:O, conjunction:O, with:O, Backdoor.APT.Pgift:B-SamFile, as:O, the:O, payload:O, of:O, a:O, malicious:O, document:O, used:O, in:O, spearphishing:B-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The document , when opened , used an embedded ActiveX control to download a JavaScript file from a remote site that used a previously unknown vulnerability in some versions of Windows ( later designated CVE-2013-7331 ) to read information about the browser 's installed components .' [/INST] [The:O, document:O, ,:O, when:O, opened:O, ,:O, used:O, an:O, embedded:O, ActiveX:B-Tool, control:I-Tool, to:O, download:O, a:O, JavaScript:B-SamFile, file:I-SamFile, from:O, a:O, remote:O, site:O, that:O, used:O, a:O, previously:O, unknown:O, vulnerability:O, in:O, some:O, versions:O, of:O, Windows:O, (:O, later:O, designated:O, CVE-2013-7331:B-Exp, ):O, to:O, read:O, information:O, about:O, the:O, browser:O, 's:O, installed:O, components:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In one case from 2013 , the target was sent a malicious document through a spear phishing email message .' [/INST] [In:O, one:O, case:O, from:O, 2013:B-Time, ,:O, the:O, target:O, was:O, sent:O, a:O, malicious:B-SamFile, document:I-SamFile, through:O, a:O, spear:B-Way, phishing:I-Way, email:I-Way, message:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'At a high level , hot patching can transparently apply patches to executables and DLLs in actively running processes , which does not happen with traditional methods of code injection such as CreateRemoteThread or WriteProcessMemory .' [/INST] [At:O, a:O, high:O, level:O, ,:O, hot:O, patching:O, can:O, transparently:O, apply:B-Features, patches:I-Features, to:O, executables:O, and:O, DLLs:O, in:O, actively:O, running:O, processes:O, ,:O, which:O, does:O, not:O, happen:O, with:O, traditional:O, methods:O, of:O, code:O, injection:O, such:O, as:O, CreateRemoteThread:B-SamFile, or:O, WriteProcessMemory: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 new SOL protocol within the PLATINUM file-transfer tool makes use of the AMT Technology SDK 's Redirection Library API ( imrsdk.dll ) .' [/INST] [The:O, new:O, SOL:O, protocol:O, within:O, the:O, PLATINUM:B-HackOrg, file-transfer:O, tool:O, makes:O, use:O, of:O, the:O, AMT:B-Tool, Technology:I-Tool, SDK:I-Tool, 's:O, Redirection:B-Tool, Library:I-Tool, API:I-Tool, (:O, imrsdk.dll:B-SamFile, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The two executables related to Hermes are bitsran.exe and RSW7B37.tmp .' [/INST] [The:O, two:O, executables:O, related:O, to:O, Hermes:B-Tool, are:O, bitsran.exe:B-SamFile, and:O, RSW7B37.tmp: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: '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: '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: '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: '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> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the three files:Defender.sct – The malicious JavaScript based scriptlet file .' [/INST] [The:O, following:O, are:O, the:O, three:O, files:Defender.sct:B-SamFile, –:O, The:O, malicious:O, JavaScript:O, based:O, scriptlet:B-SamFile, file:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After all network derived IPs have been processed , the malware generates random IPs and uses the same combination of PingCastle and EternalBlue to spread to that host .' [/INST] [After:O, all:O, network:O, derived:O, IPs:O, have:O, been:O, processed:O, ,:O, the:O, malware:B-SamFile, generates:O, random:O, IPs:O, and:O, uses:O, the:O, same:O, combination:O, of:O, PingCastle:B-SamFile, and:O, EternalBlue:B-SamFile, to:O, spread:O, to:O, that:O, host:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 document files exploit at least three known vulnerabilities in Microsoft Office , which we discuss in the Infection Techniques section .' [/INST] [The:O, document:B-SamFile, files:I-SamFile, exploit:O, at:O, least:O, three:O, known:O, vulnerabilities:B-Exp, in:O, Microsoft:O, Office:O, ,:O, which:O, we:O, discuss:O, in:O, the:O, Infection:O, Techniques:O, section:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware may communicate with its command and control (C2) server over The Onion Router (Tor) network if configured to do so .' [/INST] [The:O, malware:B-SamFile, may:O, communicate:O, with:O, its:O, command:O, and:O, control:O, (C2):O, server:O, over:O, The:B-Way, Onion:I-Way, Router:I-Way, (Tor):O, network:O, if:O, configured:O, to:O, do:O, so:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 file is decrypted and injected into an instance of InstallUtiil.exe , and functions as a Tor anonymizer .' [/INST] [This:O, file:O, is:O, decrypted:O, and:O, injected:O, into:O, an:O, instance:O, of:O, InstallUtiil.exe:B-SamFile, ,:O, and:O, functions:O, as:O, a:O, Tor:B-SamFile, anonymizer: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: 'Along with the executable , two binary files , inject.bin (malicious function code) and imain.bin (malicious control logic) , were deployed as the controller’s payload .' [/INST] [Along:O, with:O, the:O, executable:O, ,:O, two:O, binary:B-SamFile, files:I-SamFile, ,:O, inject.bin:O, (malicious:O, function:O, code):O, and:O, imain.bin:B-SamFile, (malicious:O, control:O, logic):O, ,:O, were:O, deployed:O, as:O, the:O, controller’s:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This isn’t a bad thing as it shows a natural grouping of nodes that could be a good candidate to group to help simplify the overall graph and make analysis easier .' [/INST] [This:O, isn’t:O, a:O, bad:O, thing:O, as:O, it:B-SamFile, shows:O, a:O, natural:O, grouping:O, of:O, nodes:O, that:O, could:O, be:O, a:O, good:O, candidate:O, to:O, group:O, to:O, help:O, simplify:B-Features, the:I-Features, overall:I-Features, graph:I-Features, and:O, make:B-Features, analysis:I-Features, easier:I-Features, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During our investigation into the activity , FireEye identified a direct overlap between BADRABBIT redirect sites and sites hosting a profiler we’ve been tracking as BACKSWING .' [/INST] [During:O, our:O, investigation:O, into:O, the:O, activity:O, ,:O, FireEye:B-SecTeam, identified:O, a:O, direct:O, overlap:O, between:O, BADRABBIT:B-SamFile, redirect:O, sites:O, and:O, sites:O, hosting:O, a:O, profiler:O, we’ve:O, been:O, tracking:O, as:O, BACKSWING: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: 'Incident Background Beginning on Oct. 24 at 08:00 UTC , FireEye detected and blocked attempts to infect multiple clients with a drive-by download masquerading as a Flash Update (install_flash_player.exe) that delivered a wormable variant of ransomware .' [/INST] [Incident:O, Background:O, Beginning:O, on:O, Oct.:B-Time, 24:I-Time, at:O, 08:00:O, UTC:O, ,:O, FireEye:B-SecTeam, detected:O, and:O, blocked:O, attempts:O, to:O, infect:O, multiple:O, clients:O, with:O, a:O, drive-by:O, download:O, masquerading:O, as:O, a:O, Flash:O, Update:O, (install_flash_player.exe):B-SamFile, that:O, delivered:O, a:O, wormable:O, variant:O, of:O, ransomware: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: 'Figure 3: BACKSWING Version 2Version 1:FireEye observed the first version of BACKSWING in late 2016 on websites belonging to a Czech Republic hospitality organization in addition to a government website in Montenegro .' [/INST] [Figure:O, 3::O, BACKSWING:O, Version:O, 2Version:O, 1:FireEye:B-SecTeam, observed:O, the:O, first:O, version:O, of:O, BACKSWING:B-SamFile, in:O, late:O, 2016:B-Time, on:O, websites:O, belonging:O, to:O, a:O, Czech:O, Republic:O, hospitality:B-Org, organization:I-Org, in:O, addition:O, to:O, a:O, government:B-Org, website:O, in:O, Montenegro: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 FireEye has not directly observed BACKSWING delivering BADRABBIT , BACKSWING was observed on multiple websites that were seen referring FireEye customers to 1dnscontrol.com , which hosted the BADRABBIT dropper .' [/INST] [While:O, FireEye:B-SecTeam, has:O, not:O, directly:O, observed:O, BACKSWING:B-Org, delivering:O, BADRABBIT:B-SamFile, ,:O, BACKSWING:B-Org, was:O, observed:O, on:O, multiple:O, websites:O, that:O, were:O, seen:O, referring:O, FireEye:B-SecTeam, customers:O, to:O, 1dnscontrol.com:O, ,:O, which:O, hosted:O, the:O, BADRABBIT:B-SamFile, dropper: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: 'Harvested credentials provided by an embedded Mimikatz executable facilitate the infection of other systems on the network .' [/INST] [Harvested:B-Way, credentials:I-Way, provided:O, by:O, an:O, embedded:O, Mimikatz:B-SamFile, executable:O, facilitate:O, the:O, infection:O, of:O, other:O, systems:O, on:O, the:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 EternalPetya , infpub.dat determines if a specific file exists on the system and will exit if found .' [/INST] [Like:O, EternalPetya:O, ,:O, infpub.dat:B-SamFile, determines:O, if:O, a:O, specific:B-SamFile, file:I-SamFile, exists:O, on:O, the:O, system:O, and:O, will:O, exit:O, if:O, found:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Mon Dec 04 12:00 EST 2017 and filed under Code , Reverse Engineering , Nick Harbour , and Incident Response .' [/INST] [This:O, entry:B-SamFile, was:O, posted:O, on:O, Mon:B-Time, Dec:I-Time, 04:I-Time, 12:00:O, EST:O, 2017:B-Time, and:O, filed:O, under:O, Code:O, ,:O, Reverse:B-Tool, Engineering:I-Tool, ,:O, Nick:B-Tool, Harbour:I-Tool, ,:O, and:O, Incident:O, Response:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 time , however , TA459 opportunistically used spear-phishing emails with a Microsoft Word attachment exploiting the recently patched CVE-2017-0199 to deploy the ZeroT Trojan , which in turn downloaded the PlugX Remote Access Trojan ( RAT ) .' [/INST] [This:O, time:O, ,:O, however:O, ,:O, TA459:O, opportunistically:O, used:O, spear-phishing:B-Way, emails:I-Way, with:O, a:O, Microsoft:B-SamFile, Word:I-SamFile, attachment:I-SamFile, exploiting:O, the:O, recently:O, patched:O, CVE-2017-0199:B-Exp, to:O, deploy:O, the:O, ZeroT:B-Tool, Trojan:I-Tool, ,:O, which:O, in:O, turn:O, downloaded:O, the:O, PlugX:B-Tool, Remote:I-Tool, Access:I-Tool, Trojan:I-Tool, (:O, RAT:B-Tool, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 time , however , attackers opportunistically used spear-phishing emails with a Microsoft Word attachment exploiting the recently patched CVE-2017-0199 to deploy the ZeroT Trojan , which in turn downloaded the PlugX Remote Access Trojan ( RAT ) .' [/INST] [This:O, time:O, ,:O, however:O, ,:O, attackers:O, opportunistically:O, used:O, spear-phishing:B-Way, emails:I-Way, with:O, a:O, Microsoft:B-SamFile, Word:I-SamFile, attachment:I-SamFile, exploiting:O, the:O, recently:O, patched:O, CVE-2017-0199:B-Exp, to:O, deploy:O, the:O, ZeroT:B-Tool, Trojan:I-Tool, ,:O, which:O, in:O, turn:O, downloaded:O, the:O, PlugX:B-Tool, Remote:I-Tool, Access:I-Tool, Trojan:I-Tool, (:O, RAT:B-Tool, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Data from the early part of this year shows that the Taidoor attackers rampantly used malicious.DOC files to exploit a Microsoft Common Controls vulnerability , CVE-2012-0158 .' [/INST] [Data:O, from:O, the:O, early:O, part:O, of:O, this:O, year:O, shows:O, that:O, the:O, Taidoor:O, attackers:O, rampantly:O, used:O, malicious.DOC:B-SamFile, files:O, to:O, exploit:O, a:O, Microsoft:B-Exp, Common:I-Exp, Controls:I-Exp, vulnerability:I-Exp, ,:O, CVE-2012-0158:B-Exp, .:O] </s> |