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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: 'Based on our analysis of public and private information from submissions , along with product telemetry , it appears Proxysvc was used alongside the 2017 Destover variant and has operated undetected since mid-2017 .' [/INST] [Based:O, on:O, our:O, analysis:O, of:O, public:O, and:O, private:O, information:O, from:O, submissions:O, ,:O, along:O, with:O, product:O, telemetry:O, ,:O, it:O, appears:O, Proxysvc:B-Tool, was:O, used:O, alongside:O, the:O, 2017:B-Time, Destover:B-Tool, variant:O, and:O, has:O, operated:O, undetected:O, since:O, mid-2017:B-Time, .:O] </s>
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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: 'This new variant resembles parts of the Destover malware , which was used in the 2014 Sony Pictures attack .' [/INST] [This:O, new:O, variant:O, resembles:O, parts:O, of:O, the:O, Destover:B-Tool, malware:I-Tool, ,:O, which:O, was:O, used:O, in:O, the:O, 2014:B-Time, Sony:B-OffAct, Pictures:I-OffAct, attack:B-OffAct, .:O] </s>
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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: 'The Lazarus used a similar infrastructure to earlier threats , including the Destover backdoor variant known as Escad .' [/INST] [The:O, Lazarus:B-HackOrg, used:O, a:O, similar:O, infrastructure:O, to:O, earlier:O, threats:O, ,:O, including:O, the:O, Destover:B-Tool, backdoor:I-Tool, variant:O, known:O, as:O, Escad:B-Tool, .:O] </s>
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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: 'The McAfee Advanced Threat Research team discovered a previously unknown data-gathering implant that surfaced in mid-February 2018 .' [/INST] [The:O, McAfee:B-SecTeam, Advanced:I-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, team:O, discovered:O, a:O, previously:O, unknown:O, data-gathering:B-SamFile, implant:I-SamFile, that:O, surfaced:O, in:O, mid-February:B-Time, 2018:I-Time, .:O] </s>
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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: 'The Advanced Threat Research team uncovered activity related to this campaign in March 2018 , when the actors targeted Turkish banks .' [/INST] [The:O, Advanced:B-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, team:O, uncovered:O, activity:B-OffAct, related:O, to:O, this:O, campaign:B-OffAct, in:O, March:B-Time, 2018:I-Time, ,:O, when:O, the:O, actors:B-HackOrg, targeted:O, Turkish:B-Area, banks:B-Idus, .:O] </s>
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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: 'Lazarus used watering hole attacks to compromise legitimate and trusted websites frequently visited by their targets .' [/INST] [Lazarus:B-HackOrg, used:O, watering:B-OffAct, hole:I-OffAct, attacks:I-OffAct, to:O, compromise:O, legitimate:O, and:O, trusted:O, websites:O, frequently:O, visited:O, by:O, their:O, targets:O, .:O] </s>
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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: 'Malefactors used watering hole attacks to compromise legitimate and trusted websites frequently visited by their targets .' [/INST] [Malefactors:B-HackOrg, used:O, watering:B-OffAct, hole:I-OffAct, attacks:I-OffAct, to:O, compromise:O, legitimate:O, and:O, trusted:O, websites:O, frequently:O, visited:O, by:O, their:O, targets:O, .:O] </s>
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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: 'Feedback from our Smart Protection Network revealed that apart from attacks in North America ( mainly the U.S. ) , Europe , and South America , the campaign also noticeably affected enterprises in Taiwan , Hong Kong , China , and Bahrain .' [/INST] [Feedback:O, from:O, our:O, Smart:B-SecTeam, Protection:I-SecTeam, Network:I-SecTeam, revealed:O, that:O, apart:O, from:O, attacks:B-OffAct, in:O, North:B-Area, America:I-Area, (:O, mainly:O, the:O, U.S.:B-Area, ):O, ,:O, Europe:B-Area, ,:O, and:O, South:B-Area, America:I-Area, ,:O, the:O, campaign:B-OffAct, also:O, noticeably:O, affected:O, enterprises:B-Idus, in:O, Taiwan:B-Area, ,:O, Hong:B-Area, Kong:I-Area, ,:O, China:B-Area, ,:O, and:O, Bahrain:B-Area, .:O] </s>
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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: 'On February 28 , the McAfee discovered that the cybercrime group HIDDEN COBRA continues to target cryptocurrency and financial organizations .' [/INST] [On:O, February:B-Time, 28:I-Time, ,:O, the:O, McAfee:B-SecTeam, discovered:O, that:O, the:O, cybercrime:B-HackOrg, group:I-HackOrg, HIDDEN:B-HackOrg, COBRA:I-HackOrg, continues:O, to:O, target:O, cryptocurrency:B-Idus, and:O, financial:B-Org, organizations:I-Org, .:O] </s>
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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: 'On February 28 , the McAfee Advanced Threat Research team discovered that the cybercrime group HIDDEN COBRA continues to target cryptocurrency and financial organizations .' [/INST] [On:O, February:B-Time, 28:I-Time, ,:O, the:O, McAfee:B-SecTeam, Advanced:I-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, team:O, discovered:O, that:O, the:O, cybercrime:B-HackOrg, group:I-HackOrg, HIDDEN:B-HackOrg, COBRA:I-HackOrg, continues:O, to:O, target:O, cryptocurrency:B-Idus, and:O, financial:B-Org, organizations:I-Org, .:O] </s>
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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: 'While the URL acts similarly to how eye-watch.in : 443 delivers payloads , we also saw the URL leveraging and exploiting security flaws in Flash : CVE-2015-8651 , CVE-2016-1019 , and CVE-2016-4117 .' [/INST] [While:O, the:O, URL:O, acts:O, similarly:O, to:O, how:O, eye-watch.in:O, ::O, 443:O, delivers:O, payloads:O, ,:O, we:O, also:O, saw:O, the:O, URL:O, leveraging:O, and:O, exploiting:O, security:O, flaws:O, in:O, Flash:O, ::O, CVE-2015-8651:B-Exp, ,:O, CVE-2016-1019:B-Exp, ,:O, and:O, CVE-2016-4117:B-Exp, .:O] </s>
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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: 'In this analysis , we observed the return of HIDDEN COBRA 's Bankshot malware implant surfacing in the Turkish financial system .' [/INST] [In:O, this:O, analysis:O, ,:O, we:O, observed:O, the:O, return:O, of:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, 's:O, Bankshot:B-Tool, malware:I-Tool, implant:O, surfacing:O, in:O, the:O, Turkish:B-Area, financial:O, system:O, .:O] </s>
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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: 'In this new , aggressive campaign we see a return of the Bankshot implant , which last appeared in 2017 .' [/INST] [In:O, this:O, new:O, ,:O, aggressive:O, campaign:B-OffAct, we:O, see:O, a:O, return:O, of:O, the:O, Bankshot:B-Tool, implant:O, ,:O, which:O, last:O, appeared:O, in:O, 2017:B-Time, .:O] </s>
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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: 'This attack resembles previous attacks by HIDDEN COBRA conducted against the SWIFT .' [/INST] [This:O, attack:B-OffAct, resembles:O, previous:O, attacks:B-OffAct, by:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, conducted:O, against:O, the:O, SWIFT:O, .:O] </s>
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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: 'The exploit , which takes advantage of CVE-2018-4878 , allows an attacker to execute arbitrary code such as an implant .' [/INST] [The:O, exploit:O, ,:O, which:O, takes:O, advantage:O, of:O, CVE-2018-4878:B-Exp, ,:O, allows:O, an:O, attacker:B-HackOrg, to:O, execute:O, arbitrary:O, code:O, such:O, as:O, an:O, implant:O, .:O] </s>
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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: 'These implants are variations of earlier forms of Bankshot , a remote access tool that gives an attacker full capability on a victim 's system .' [/INST] [These:O, implants:O, are:O, variations:O, of:O, earlier:O, forms:O, of:O, Bankshot:B-Tool, ,:O, a:O, remote:O, access:O, tool:O, that:O, gives:O, an:O, attacker:B-HackOrg, full:O, capability:O, on:O, a:O, victim:O, 's:O, system:O, .:O] </s>
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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: 'Bankshot was first reported by the Department of Homeland Security on December 13 , 2017 , and has only recently resurfaced in newly compiled variants .' [/INST] [Bankshot:B-Tool, was:O, first:O, reported:O, by:O, the:O, Department:B-SecTeam, of:I-SecTeam, Homeland:I-SecTeam, Security:I-SecTeam, on:O, December:B-Time, 13:I-Time, ,:I-Time, 2017:I-Time, ,:O, and:O, has:O, only:O, recently:O, resurfaced:O, in:O, newly:O, compiled:O, variants:O, .:O] </s>
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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: 'We have found what may be an early data-gathering stage for future possible heists from financial organizations in Turkey ( and possibly other countries ) .' [/INST] [We:O, have:O, found:O, what:O, may:O, be:O, an:O, early:O, data-gathering:O, stage:O, for:O, future:O, possible:O, heists:O, from:O, financial:B-Org, organizations:I-Org, in:O, Turkey:B-Area, (:O, and:O, possibly:O, other:O, countries:O, ):O, .:O] </s>
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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: 'Documents with the Flash exploit managed to evade static defenses and remain undetected as an exploit on VirusTotal .' [/INST] [Documents:B-SamFile, with:O, the:O, Flash:B-Exp, exploit:I-Exp, managed:O, to:O, evade:O, static:O, defenses:O, and:O, remain:O, undetected:O, as:O, an:O, exploit:O, on:O, VirusTotal:O, .:O] </s>
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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: 'This malware report contains analysis of one 32-bit Windows executable file , identified as a Remote Access Trojan ( RAT ) .' [/INST] [This:O, malware:O, report:O, contains:O, analysis:O, of:O, one:O, 32-bit:B-SamFile, Windows:I-SamFile, executable:I-SamFile, file:I-SamFile, ,:O, identified:O, as:O, a:O, Remote:B-Tool, Access:I-Tool, Trojan:I-Tool, (:O, RAT:B-Tool, ):O, .:O] </s>
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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: 'This malware is capable of accessing device configuration data , downloading additional files , executing commands , modifying the registry , capturing screen shots , and exfiltrating data .' [/INST] [This:O, malware:O, is:O, capable:O, of:O, accessing:O, device:O, configuration:B-Features, data:I-Features, ,:O, downloading:B-Features, additional:I-Features, files:I-Features, ,:O, executing:B-Features, commands:I-Features, ,:O, modifying:B-Features, the:I-Features, registry:I-Features, ,:O, capturing:B-Features, screen:I-Features, shots:I-Features, ,:O, and:O, exfiltrating:B-Features, data:I-Features, .:O] </s>
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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: 'Volgmer is a backdoor Trojan designed to provide covert access to a compromised system .' [/INST] [Volgmer:B-Tool, is:O, a:O, backdoor:B-Tool, Trojan:I-Tool, designed:O, to:O, provide:B-Features, covert:I-Features, access:I-Features, to:O, a:O, compromised:O, system:O, .:O] </s>
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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: 'It is suspected that spear phishing is the primary delivery mechanism for Volgmer infections ; however , HIDDEN COBRA actors use a suite of custom tools , some of which could also be used to initially compromise a system .' [/INST] [It:O, is:O, suspected:O, that:O, spear:B-Way, phishing:I-Way, is:O, the:O, primary:O, delivery:O, mechanism:O, for:O, Volgmer:B-Tool, infections:O, ;:O, however:O, ,:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, actors:I-HackOrg, use:O, a:O, suite:O, of:O, custom:B-Tool, tools:I-Tool, ,:O, some:O, of:O, which:O, could:O, also:O, be:O, used:O, to:O, initially:O, compromise:O, a:O, system:O, .:O] </s>
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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: 'Since at least 2013 , HIDDEN COBRA actors have been observed using Volgmer malware in the wild to target the government , financial , automotive , and media industries .' [/INST] [Since:O, at:O, least:O, 2013:B-Time, ,:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, actors:I-HackOrg, have:O, been:O, observed:O, using:O, Volgmer:B-Tool, malware:I-Tool, in:O, the:O, wild:O, to:O, target:O, the:O, government:B-Idus, ,:O, financial:B-Idus, ,:O, automotive:B-Idus, ,:O, and:O, media:B-Idus, industries:I-Idus, .:O] </s>
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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: 'Therefore , it is possible that additional HIDDEN COBRA malware may be present on network infrastructure compromised with Volgmer .' [/INST] [Therefore:O, ,:O, it:O, is:O, possible:O, that:O, additional:O, HIDDEN:B-Tool, COBRA:I-Tool, malware:I-Tool, may:O, be:O, present:O, on:O, network:B-Way, infrastructure:I-Way, compromised:O, with:O, Volgmer:B-Tool, .:O] </s>
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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: 'As a backdoor Trojan , Volgmer has several capabilities including : gathering system information , updating service registry keys , downloading and uploading files , executing commands , terminating processes , and listing directories .' [/INST] [As:O, a:O, backdoor:B-Tool, Trojan:I-Tool, ,:O, Volgmer:B-Tool, has:O, several:O, capabilities:O, including:O, ::O, gathering:B-Features, system:I-Features, information:I-Features, ,:O, updating:B-Features, service:I-Features, registry:I-Features, keys:I-Features, ,:O, downloading:B-Features, and:O, uploading:B-Features, files:I-Features, ,:O, executing:B-Features, commands:I-Features, ,:O, terminating:B-Features, processes:I-Features, ,:O, and:O, listing:B-Features, directories:I-Features, .:O] </s>
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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: 'In one of the samples received for analysis , the US-CERT Code Analysis Team observed botnet controller functionality .' [/INST] [In:O, one:O, of:O, the:O, samples:O, received:O, for:O, analysis:O, ,:O, the:O, US-CERT:B-SecTeam, Code:I-SecTeam, Analysis:I-SecTeam, Team:I-SecTeam, observed:O, botnet:B-SamFile, controller:I-SamFile, functionality:O, .:O] </s>
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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: 'Volgmer payloads have been observed in 32-bit form as either executables or dynamic-link library ( .dll )' [/INST] [Volgmer:B-Tool, payloads:O, have:O, been:O, observed:O, in:O, 32-bit:O, form:O, as:O, either:O, executables:O, or:O, dynamic-link:O, library:O, (:O, .dll:B-SamFile, ):O] </s>
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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: 'Lazarus actors commonly maintain persistence on a victim 's system by installing the malware-as-a-service .' [/INST] [Lazarus:B-HackOrg, actors:I-HackOrg, commonly:O, maintain:O, persistence:O, on:O, a:O, victim:O, 's:O, system:O, by:O, installing:O, the:O, malware-as-a-service:B-Way, .:O] </s>
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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: 'Working with U.S. Government partners , DHS and FBI identified Trojan malware variants used by the North Korean government - referred to by the U.S. Government as BADCALL .' [/INST] [Working:O, with:O, U.S.:B-Org, Government:I-Org, partners:O, ,:O, DHS:B-SecTeam, and:O, FBI:B-SecTeam, identified:O, Trojan:B-Tool, malware:I-Tool, variants:O, used:O, by:O, the:O, North:B-Area, Korean:I-Area, government:O, -:O, referred:O, to:O, by:O, the:O, U.S.:B-Org, Government:I-Org, as:O, BADCALL:O, .:O] </s>
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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: 'The malware uses a custom binary protocol to beacon back to the command and control ( C2 ) server , often via TCP port 8080 or 8088 , with some payloads implementing Secure Socket Layer ( SSL ) encryption to obfuscate communications .' [/INST] [The:O, malware:O, uses:O, a:O, custom:B-Tool, binary:I-Tool, protocol:I-Tool, to:O, beacon:B-Tool, back:O, to:O, the:O, command:O, and:O, control:O, (:O, C2:O, ):O, server:O, ,:O, often:O, via:O, TCP:O, port:O, 8080:O, or:O, 8088:O, ,:O, with:O, some:O, payloads:O, implementing:O, Secure:B-Tool, Socket:I-Tool, Layer:I-Tool, (:O, SSL:B-Tool, ):O, encryption:O, to:O, obfuscate:O, communications:B-Idus, .:O] </s>
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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: 'DHS and FBI are distributing this MAR to enable network defense and reduce exposure to North Korean government malicious cyber activity .' [/INST] [DHS:B-SecTeam, and:O, FBI:B-SecTeam, are:O, distributing:O, this:O, MAR:O, to:O, enable:O, network:O, defense:O, and:O, reduce:O, exposure:O, to:O, North:B-Area, Korean:I-Area, government:O, malicious:B-OffAct, cyber:I-OffAct, activity:I-OffAct, .:O] </s>
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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: 'The malware known as RATANKBA is just one of the weapons in Lazarus ' arsenal .' [/INST] [The:O, malware:O, known:O, as:O, RATANKBA:B-Tool, is:O, just:O, one:O, of:O, the:O, weapons:O, in:O, Lazarus:B-HackOrg, ':O, arsenal:O, .:O] </s>
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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: 'We analyzed a new RATANKBA variant ( BKDR_RATANKBA.ZAEL–A ) , discovered in June 2017 , that uses a PowerShell script instead of its more traditional PE executable form—a version that other researchers also recently identified .' [/INST] [We:O, analyzed:O, a:O, new:O, RATANKBA:B-Tool, variant:O, (:O, BKDR_RATANKBA.ZAEL–A:B-Tool, ):O, ,:O, discovered:O, in:O, June:B-Time, 2017:I-Time, ,:O, that:O, uses:O, a:O, PowerShell:B-Tool, script:I-Tool, instead:O, of:O, its:O, more:O, traditional:O, PE:O, executable:O, form—a:O, version:O, that:O, other:O, researchers:O, also:O, recently:O, identified:O, .:O] </s>
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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: 'Around 55% of the victims of Lazarus were located in India and neighboring countries .' [/INST] [Around:O, 55%:O, of:O, the:O, victims:O, of:O, Lazarus:B-HackOrg, were:O, located:O, in:O, India:B-Area, and:O, neighboring:O, countries:O, .:O] </s>
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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: 'Lazarus group could have been active since late 2016 , was used in a recent campaign targeting financial institutions using watering hole attacks .' [/INST] [Lazarus:B-HackOrg, group:I-HackOrg, could:O, have:O, been:O, active:O, since:O, late:B-Time, 2016:I-Time, ,:O, was:O, used:O, in:O, a:O, recent:O, campaign:B-OffAct, targeting:O, financial:B-Org, institutions:I-Org, using:O, watering:B-OffAct, hole:I-OffAct, attacks:I-OffAct, .:O] </s>
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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: 'Since they first emerged back in 2007 with a series of cyberespionage attacks against the South Korean government , these threat actors have successfully managed to pull off some of the most notable and devastating targeted attacks—such as the widely-reported 2014 Sony hack and the 2016 attack on a Bangladeshi bank—in recent history .' [/INST] [Since:O, they:O, first:O, emerged:O, back:O, in:O, 2007:B-Time, with:O, a:O, series:O, of:O, cyberespionage:B-OffAct, attacks:I-OffAct, against:O, the:O, South:B-Area, Korean:I-Area, government:B-Idus, ,:O, these:O, threat:B-HackOrg, actors:I-HackOrg, have:O, successfully:O, managed:O, to:O, pull:O, off:O, some:O, of:O, the:O, most:O, notable:O, and:O, devastating:O, targeted:O, attacks—such:O, as:O, the:O, widely-reported:O, 2014:B-Time, Sony:O, hack:O, and:O, the:O, 2016:B-OffAct, attack:I-OffAct, on:O, a:O, Bangladeshi:B-Area, bank—in:O, recent:O, history:O, .:O] </s>
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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: 'It 's possible that Lazarus is using RATANKBA to target larger organizations .' [/INST] [It:O, 's:O, possible:O, that:O, Lazarus:B-HackOrg, is:O, using:O, RATANKBA:B-Tool, to:O, target:O, larger:O, organizations:O, .:O] </s>
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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: 'RATANKBA is delivered to its victims using a variety of lure documents , including Microsoft Office documents , malicious CHM files , and different script downloaders .' [/INST] [RATANKBA:B-Tool, is:O, delivered:O, to:O, its:O, victims:O, using:B-Features, a:I-Features, variety:I-Features, of:I-Features, lure:I-Features, documents:I-Features, ,:O, including:O, Microsoft:B-Tool, Office:I-Tool, documents:I-Tool, ,:O, malicious:O, CHM:B-Tool, files:I-Tool, ,:O, and:O, different:O, script:O, downloaders:O, .:O] </s>
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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: 'Overall , an organization will need multilayered security strategies , as Lazarus and other similar groups are experienced cybercriminals who employ different strategies to get past organizational defenses .' [/INST] [Overall:O, ,:O, an:O, organization:O, will:O, need:O, multilayered:O, security:O, strategies:O, ,:O, as:O, Lazarus:B-HackOrg, and:O, other:O, similar:O, groups:B-HackOrg, are:O, experienced:O, cybercriminals:B-HackOrg, who:O, employ:O, different:O, strategies:O, to:O, get:O, past:O, organizational:O, defenses:O, .:O] </s>
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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: 'simultaneous use of the detected Win32/KillDisk.NBO variants .' [/INST] [simultaneous:O, use:O, of:O, the:O, detected:O, Win32/KillDisk.NBO:B-Tool, variants:O, .:O] </s>
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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: 'Working with U.S. Government partners , DHS and FBI identified Trojan malware variants used by the North Korean government – commonly known as HARDRAIN .' [/INST] [Working:O, with:O, U.S.:B-Org, Government:I-Org, partners:O, ,:O, DHS:B-SecTeam, and:O, FBI:B-SecTeam, identified:O, Trojan:B-Tool, malware:I-Tool, variants:O, used:O, by:O, the:O, North:B-Area, Korean:I-Area, government:O, –:O, commonly:O, known:O, as:O, HARDRAIN:B-Tool, .:O] </s>
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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: 'These files have the capability to download and install malware , install proxy and Remote Access Trojans ( RATs ) , connect to command and control ( C2 ) servers to receive additional instructions , and modify the victim 's firewall to allow incoming connections .' [/INST] [These:O, files:O, have:O, the:O, capability:O, to:O, download:B-Features, and:O, install:B-Features, malware:I-Features, ,:O, install:B-Features, proxy:I-Features, and:O, Remote:B-Features, Access:I-Features, Trojans:I-Features, (:O, RATs:B-Tool, ):O, ,:O, connect:B-Features, to:I-Features, command:I-Features, and:I-Features, control:I-Features, (:O, C2:O, ):O, servers:O, to:O, receive:B-Features, additional:I-Features, instructions:I-Features, ,:O, and:O, modify:B-Features, the:I-Features, victim:I-Features, 's:I-Features, firewall:I-Features, to:O, allow:O, incoming:O, connections:O, .:O] </s>
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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: 'The cybercriminal group Lazarus has a history of attacking financial organizations in Asia and Latin America .' [/INST] [The:O, cybercriminal:B-HackOrg, group:I-HackOrg, Lazarus:B-HackOrg, has:O, a:O, history:O, of:O, attacking:O, financial:B-Org, organizations:I-Org, in:O, Asia:B-Area, and:O, Latin:B-Area, America:I-Area, .:O] </s>
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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: 'We also recently discovered that Lazarus successfully planted their backdoor ( detected by Trend Micro as BKDR_BINLODR.ZNFJ-A ) into several machines of financial institutions across Latin America .' [/INST] [We:O, also:O, recently:O, discovered:O, that:O, Lazarus:B-HackOrg, successfully:O, planted:O, their:O, backdoor:O, (:O, detected:O, by:O, Trend:B-SecTeam, Micro:I-SecTeam, as:O, BKDR_BINLODR.ZNFJ-A:B-Tool, ):O, into:O, several:O, machines:O, of:O, financial:B-Org, institutions:I-Org, across:O, Latin:B-Area, America:I-Area, .:O] </s>
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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: 'We determined that these backdoors were installed on the targets ' machines on September 19 2018 , based mainly on the service creation time of the loader component .' [/INST] [We:O, determined:O, that:O, these:O, backdoors:O, were:O, installed:O, on:O, the:O, targets:O, ':O, machines:O, on:O, September:B-Time, 19:I-Time, 2018:I-Time, ,:O, based:O, mainly:O, on:O, the:O, service:O, creation:O, time:O, of:O, the:O, loader:O, component:O, .:O] </s>
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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: 'Just last week Lazarus were found stealing millions from ATMs across Asia and Africa .' [/INST] [Just:O, last:O, week:O, Lazarus:B-HackOrg, were:O, found:O, stealing:B-Purp, millions:I-Purp, from:O, ATMs:O, across:O, Asia:B-Area, and:O, Africa:B-Area, .:O] </s>
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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: 'These and other tools used by the Lazarus group can be mitigated by routinely scanning the network for any malicious activity to help prevent the malware from entering and spreading through an organization .' [/INST] [These:O, and:O, other:O, tools:O, used:O, by:O, the:O, Lazarus:B-HackOrg, group:I-HackOrg, can:O, be:O, mitigated:O, by:O, routinely:O, scanning:O, the:O, network:O, for:O, any:O, malicious:B-OffAct, activity:I-OffAct, to:O, help:O, prevent:O, the:O, malware:O, from:O, entering:O, and:O, spreading:O, through:O, an:O, organization:O, .:O] </s>
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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: 'The backdoors Lazarus are deploying are difficult to detect and a significant threat to the privacy and security of enterprises , allowing attackers to steal information , delete files , install malware , and more .' [/INST] [The:O, backdoors:O, Lazarus:B-HackOrg, are:O, deploying:O, are:O, difficult:O, to:O, detect:O, and:O, a:O, significant:O, threat:O, to:O, the:O, privacy:O, and:O, security:O, of:O, enterprises:B-Idus, ,:O, allowing:O, attackers:B-HackOrg, to:O, steal:B-Purp, information:I-Purp, ,:O, delete:B-Purp, files:I-Purp, ,:O, install:B-Purp, malware:I-Purp, ,:O, and:O, more:O, .:O] </s>
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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: 'Trend Micro endpoint solutions such as Trend Micro™ Smart Protection Suites and Worry-Free™ Business Security can protect users and businesses from these threats by detecting malicious files and spammed messages as well as blocking all related malicious URLs .' [/INST] [Trend:B-SecTeam, Micro:I-SecTeam, endpoint:O, solutions:O, such:O, as:O, Trend:B-SecTeam, Micro™:I-SecTeam, Smart:I-SecTeam, Protection:I-SecTeam, Suites:I-SecTeam, and:O, Worry-Free™:B-SecTeam, Business:I-SecTeam, Security:I-SecTeam, can:O, protect:O, users:O, and:O, businesses:B-Idus, from:O, these:O, threats:O, by:O, detecting:O, malicious:B-SamFile, files:I-SamFile, and:O, spammed:O, messages:O, as:O, well:O, as:O, blocking:O, all:O, related:O, malicious:O, URLs:O, .:O] </s>
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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: 'FBI has high confidence that HIDDEN COBRA actors are using malware variants in conjunction with proxy servers to maintain a presence on victim networks and to further network exploitation .' [/INST] [FBI:B-SecTeam, has:O, high:O, confidence:O, that:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, actors:I-HackOrg, are:O, using:O, malware:O, variants:O, in:O, conjunction:O, with:O, proxy:O, servers:O, to:O, maintain:O, a:O, presence:O, on:O, victim:O, networks:O, and:O, to:O, further:O, network:O, exploitation:O, .:O] </s>
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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: 'Ransomware that has been publicly named , WannaCry , , , WCry , or , WanaCrypt0r , ( based on strings in the binary and encrypted files ) has spread to at least 74 countries as of Friday 12 May 2017 , reportedly targeting Russia initially , and spreading to telecommunications , shipping , car manufacturers , universities and health care industries , among others .' [/INST] [Ransomware:O, that:O, has:O, been:O, publicly:O, named:O, ,:O, WannaCry:B-Tool, ,:O, ,:O, ,:O, WCry:B-Tool, ,:O, or:O, ,:O, WanaCrypt0r:B-Tool, ,:O, (:O, based:O, on:O, strings:O, in:O, the:O, binary:O, and:O, encrypted:O, files:O, ):O, has:O, spread:O, to:O, at:O, least:O, 74:O, countries:O, as:O, of:O, Friday:B-Time, 12:I-Time, May:I-Time, 2017:I-Time, ,:O, reportedly:O, targeting:O, Russia:B-Area, initially:O, ,:O, and:O, spreading:O, to:O, telecommunications:B-Idus, ,:O, shipping:B-Idus, ,:O, car:B-Idus, manufacturers:I-Idus, ,:O, universities:B-Idus, and:O, health:B-Idus, care:I-Idus, industries:I-Idus, ,:O, among:O, others:O, .:O] </s>
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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: 'Ransomware that has been publicly named , WannaCry , , , WCry , or , WanaCrypt0r , ( based on strings in the binary and encrypted files ) has spread to at least 74 countries as of Friday 12 May 2017 , reportedly targeting Russia initially , and spreading to telecommunications , shipping , car manufacturers , universities and health care industries , among others .' [/INST] [Ransomware:O, that:O, has:O, been:O, publicly:O, named:O, ,:O, WannaCry:B-Tool, ,:O, ,:O, ,:O, WCry:B-Tool, ,:O, or:O, ,:O, WanaCrypt0r:B-Tool, ,:O, (:O, based:O, on:O, strings:O, in:O, the:O, binary:O, and:O, encrypted:O, files:O, ):O, has:O, spread:O, to:O, at:O, least:O, 74:O, countries:O, as:O, of:O, Friday:B-Time, 12:I-Time, May:I-Time, 2017:I-Time, ,:O, reportedly:O, targeting:O, Russia:B-Area, initially:O, ,:O, and:O, spreading:O, to:O, telecommunications:B-Idus, ,:O, shipping:B-Idus, ,:O, car:B-Idus, manufacturers:I-Idus, ,:O, universities:B-Idus, and:O, health:B-Idus, care:I-Idus, industries:I-Idus, ,:O, among:O, others:O, .:O] </s>
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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: 'We also saw that the attack technique bears some resemblance to a previous 2017 Lazarus attack , analyzed by BAE Systems , against targets in Asia .' [/INST] [We:O, also:O, saw:O, that:O, the:O, attack:B-OffAct, technique:O, bears:O, some:O, resemblance:O, to:O, a:O, previous:O, 2017:B-Time, Lazarus:B-OffAct, attack:I-OffAct, ,:O, analyzed:O, by:O, BAE:B-SecTeam, Systems:I-SecTeam, ,:O, against:O, targets:O, in:O, Asia:B-Area, .:O] </s>
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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: 'WannaCry utilizes EternalBlue by crafting a custom SMB session request with hard-coded values based on the target system .' [/INST] [WannaCry:B-Tool, utilizes:O, EternalBlue:B-Exp, by:O, crafting:O, a:O, custom:O, SMB:B-Tool, session:O, request:O, with:O, hard-coded:O, values:O, based:O, on:O, the:O, target:O, system:O, .:O] </s>
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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: 'Notably , after the first SMB packet sent to the victim 's IP address , WannaCry sends two additional packets to the victim containing the hard-coded IP addresses 192.168.56.20 and 172.16.99.5 .' [/INST] [Notably:O, ,:O, after:O, the:O, first:O, SMB:B-Way, packet:I-Way, sent:O, to:O, the:O, victim:O, 's:O, IP:O, address:O, ,:O, WannaCry:B-Tool, sends:O, two:O, additional:O, packets:O, to:O, the:O, victim:O, containing:O, the:O, hard-coded:O, IP:O, addresses:O, 192.168.56.20:O, and:O, 172.16.99.5:O, .:O] </s>
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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: 'WannaCry ( also known as WCry or WanaCryptor ) malware is a self-propagating ( worm-like ) ransomware that spreads through internal networks and over the public internet by exploiting a vulnerability in Microsoft 's Server Message Block ( SMB ) protocol , MS17-010 .' [/INST] [WannaCry:B-Tool, (:O, also:O, known:O, as:O, WCry:B-Tool, or:O, WanaCryptor:B-Tool, ):O, malware:O, is:O, a:O, self-propagating:O, (:O, worm-like:O, ):O, ransomware:B-Tool, that:O, spreads:O, through:O, internal:O, networks:O, and:O, over:O, the:O, public:O, internet:O, by:O, exploiting:O, a:O, vulnerability:O, in:O, Microsoft:B-Org, 's:O, Server:B-Tool, Message:I-Tool, Block:I-Tool, (:O, SMB:B-Tool, ):O, protocol:O, ,:O, MS17-010:O, .:O] </s>
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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: 'The WannaCry malware consists of two distinct components , one that provides ransomware functionality and a component used for propagation , which contains functionality to enable SMB exploitation capabilities .' [/INST] [The:O, WannaCry:B-Tool, malware:I-Tool, consists:O, of:O, two:O, distinct:O, components:O, ,:O, one:O, that:O, provides:B-Features, ransomware:I-Features, functionality:I-Features, and:O, a:O, component:O, used:O, for:O, propagation:B-Features, ,:O, which:O, contains:O, functionality:O, to:O, enable:O, SMB:B-Tool, exploitation:O, capabilities:O, .:O] </s>
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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: 'WannaCry leverages an exploit , codenamed , EternalBlue , , that was released by the Shadow Brokers on April 14 , 2017 .' [/INST] [WannaCry:B-Tool, leverages:O, an:O, exploit:O, ,:O, codenamed:O, ,:O, EternalBlue:B-Exp, ,:O, ,:O, that:O, was:O, released:O, by:O, the:O, Shadow:B-HackOrg, Brokers:I-HackOrg, on:O, April:B-Time, 14:I-Time, ,:I-Time, 2017:I-Time, .:O] </s>
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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: 'WannaCry appends encrypted data files with the .WCRY extension , drops and executes a decryptor tool , and demands $300 or $600 USD ( via Bitcoin ) to decrypt the data .' [/INST] [WannaCry:B-Tool, appends:O, encrypted:O, data:O, files:O, with:O, the:O, .WCRY:B-SamFile, extension:O, ,:O, drops:B-Features, and:I-Features, executes:I-Features, a:I-Features, decryptor:I-Features, tool:I-Features, ,:O, and:O, demands:O, $300:O, or:O, $600:O, USD:O, (:O, via:O, Bitcoin:O, ):O, to:O, decrypt:O, the:O, data:O, .:O] </s>
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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: 'In May 2017 , SecureWorks® Counter Threat Unit® ( CTU ) researchers investigated a widespread and opportunistic WCry ( also known as WanaCry , WanaCrypt , and Wana Decrypt0r ) ransomware campaign that impacted many systems around the world .' [/INST] [In:O, May:B-Time, 2017:I-Time, ,:O, SecureWorks®:B-SecTeam, Counter:I-SecTeam, Threat:I-SecTeam, Unit®:I-SecTeam, (:O, CTU:B-SecTeam, ):O, researchers:O, investigated:O, a:O, widespread:O, and:O, opportunistic:O, WCry:B-Tool, (:O, also:O, known:O, as:O, WanaCry:O, ,:O, WanaCrypt:O, ,:O, and:O, Wana:O, Decrypt0r:O, ):O, ransomware:B-OffAct, campaign:I-OffAct, that:O, impacted:O, many:O, systems:O, around:O, the:O, world:O, .:O] </s>
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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: 'In November 2017 , SecureWorks Counter Threat Unit ( CTU ) researchers investigated a widespread and opportunistic WCry ransomware campaign that impacted many systems around the world .' [/INST] [In:O, November:B-Time, 2017:I-Time, ,:O, SecureWorks:B-SecTeam, Counter:I-SecTeam, Threat:I-SecTeam, Unit:I-SecTeam, (:O, CTU:B-SecTeam, ):O, researchers:O, investigated:O, a:O, widespread:O, and:O, opportunistic:O, WCry:B-OffAct, ransomware:I-OffAct, campaign:I-OffAct, that:O, impacted:O, many:O, systems:O, around:O, the:O, world:O, .:O] </s>
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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: 'Microsoft addressed the SMBv1 vulnerabilities in March 2017 with Security Bulletin MS17-010 .' [/INST] [Microsoft:B-Org, addressed:O, the:O, SMBv1:B-Exp, vulnerabilities:I-Exp, in:O, March:B-Time, 2017:I-Time, with:O, Security:O, Bulletin:O, MS17-010:O, .:O] </s>
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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: 'The worm leverages an SMBv1 exploit that originates from tools released by the Shadow Brokers threat group in April .' [/INST] [The:O, worm:O, leverages:O, an:O, SMBv1:B-Exp, exploit:I-Exp, that:O, originates:O, from:O, tools:O, released:O, by:O, the:O, Shadow:B-HackOrg, Brokers:I-HackOrg, threat:B-HackOrg, group:I-HackOrg, in:O, April:B-Time, .:O] </s>
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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: 'If the DoublePulsar backdoor does not exist , then the SMB worm attempts to compromise the target using the Eternalblue SMBv1 exploit .' [/INST] [If:O, the:O, DoublePulsar:B-Tool, backdoor:I-Tool, does:O, not:O, exist:O, ,:O, then:O, the:O, SMB:B-Tool, worm:I-Tool, attempts:O, to:O, compromise:O, the:O, target:O, using:O, the:O, Eternalblue:B-Exp, SMBv1:I-Exp, exploit:I-Exp, .:O] </s>
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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: 'WCry uses a combination of the RSA and AES algorithms to encrypt files .' [/INST] [WCry:B-Tool, uses:O, a:O, combination:O, of:O, the:O, RSA:B-Tool, and:O, AES:B-Tool, algorithms:O, to:O, encrypt:B-Features, files:I-Features, .:O] </s>
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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: 'The campaign 's use of an SMB worm to distribute WCry contributed to the ransomware 's virulence .' [/INST] [The:O, campaign:B-OffAct, 's:O, use:O, of:O, an:O, SMB:B-Tool, worm:I-Tool, to:O, distribute:O, WCry:B-Tool, contributed:O, to:O, the:O, ransomware:O, 's:O, virulence:O, .:O] </s>
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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: 'Last week Microsoft , working together with Facebook and others in the security community , took strong steps to protect our customers and the internet from ongoing attacks by an advanced persistent threat actor known to us as ZINC , also known as the Lazarus Group .' [/INST] [Last:O, week:O, Microsoft:B-Org, ,:O, working:O, together:O, with:O, Facebook:B-Org, and:O, others:O, in:O, the:O, security:B-SecTeam, community:I-SecTeam, ,:O, took:O, strong:O, steps:O, to:O, protect:O, our:O, customers:O, and:O, the:O, internet:O, from:O, ongoing:O, attacks:B-OffAct, by:O, an:O, advanced:O, persistent:O, threat:B-HackOrg, actor:I-HackOrg, known:O, to:O, us:O, as:O, ZINC:B-HackOrg, ,:O, also:O, known:O, as:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, .:O] </s>
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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: 'Last week Microsoft , working together with Facebook , took strong steps to protect our customers and the internet from ongoing attacks by the Lazarus Group .' [/INST] [Last:O, week:O, Microsoft:B-Org, ,:O, working:O, together:O, with:O, Facebook:B-Org, ,:O, took:O, strong:O, steps:O, to:O, protect:O, our:O, customers:O, and:O, the:O, internet:O, from:O, ongoing:O, attacks:B-OffAct, by:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, .:O] </s>
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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: 'We concluded that Lazarus Group was responsible for WannaCry , a destructive malware .' [/INST] [We:O, concluded:O, that:O, Lazarus:B-HackOrg, Group:I-HackOrg, was:O, responsible:O, for:O, WannaCry:B-Tool, ,:O, a:O, destructive:O, malware:O, .:O] </s>
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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: 'We concluded that Lazarus Group was responsible for WannaCry , a destructive attack in May that targeted Microsoft customers .' [/INST] [We:O, concluded:O, that:O, Lazarus:B-HackOrg, Group:I-HackOrg, was:O, responsible:O, for:O, WannaCry:B-Tool, ,:O, a:O, destructive:O, attack:B-OffAct, in:O, May:B-Time, that:O, targeted:O, Microsoft:B-Org, customers:I-Org, .:O] </s>
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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: 'Today , the governments of the United States , United Kingdom , Australia , Canada , New Zealand and Japan have all announced that the government of North Korea is responsible for the activities of ZINC/Lazarus .' [/INST] [Today:O, ,:O, the:O, governments:B-Idus, of:O, the:O, United:B-Area, States:I-Area, ,:O, United:B-Area, Kingdom:I-Area, ,:O, Australia:B-Area, ,:O, Canada:B-Area, ,:O, New:B-Area, Zealand:I-Area, and:O, Japan:B-Area, have:O, all:O, announced:O, that:O, the:O, government:O, of:O, North:B-Area, Korea:I-Area, is:O, responsible:O, for:O, the:O, activities:B-OffAct, of:O, ZINC/Lazarus:B-HackOrg, .:O] </s>
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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: 'In November 2017 , Secureworks Counter Threat Unit™ ( CTU ) researchers discovered the North Korean cyber threat group , known as Lazarus Group and internally tracked as NICKEL ACADEMY by Secureworks , had launched a malicious spearphishing campaign using the lure of a job opening for the CFO role at a European-based cryptocurrency company .' [/INST] [In:O, November:B-Time, 2017:I-Time, ,:O, Secureworks:B-SecTeam, Counter:I-SecTeam, Threat:I-SecTeam, Unit™:I-SecTeam, (:O, CTU:B-SecTeam, ):O, researchers:O, discovered:O, the:O, North:B-Area, Korean:I-Area, cyber:B-HackOrg, threat:I-HackOrg, group:I-HackOrg, ,:O, known:O, as:O, Lazarus:B-HackOrg, Group:I-HackOrg, and:O, internally:O, tracked:O, as:O, NICKEL:B-HackOrg, ACADEMY:I-HackOrg, by:O, Secureworks:B-SecTeam, ,:O, had:O, launched:O, a:O, malicious:B-OffAct, spearphishing:I-OffAct, campaign:I-OffAct, using:O, the:O, lure:O, of:O, a:O, job:O, opening:O, for:O, the:O, CFO:O, role:O, at:O, a:O, European-based:B-Area, cryptocurrency:B-Org, company:I-Org, .:O] </s>
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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: 'In November 2017 , CTU researchers discovered the North Korean cyber threat group , known as Lazarus Group , had launched a malicious spearphishing campaign using the lure of a job opening for the CFO role at a European-based cryptocurrency company .' [/INST] [In:O, November:B-Time, 2017:I-Time, ,:O, CTU:B-SecTeam, researchers:O, discovered:O, the:O, North:B-Area, Korean:I-Area, cyber:B-HackOrg, threat:I-HackOrg, group:I-HackOrg, ,:O, known:O, as:O, Lazarus:B-HackOrg, Group:I-HackOrg, ,:O, had:O, launched:O, a:O, malicious:B-OffAct, spearphishing:I-OffAct, campaign:I-OffAct, using:O, the:O, lure:O, of:O, a:O, job:O, opening:O, for:O, the:O, CFO:O, role:O, at:O, a:O, European-based:B-Area, cryptocurrency:B-Org, company:I-Org, .:O] </s>
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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: 'Bankshot is designed to persist on a victim 's network for further exploitation ; thus the Advanced Threat Research team believes this operation is intended to gain access to specific financial organizations .' [/INST] [Bankshot:B-Tool, is:O, designed:O, to:O, persist:O, on:O, a:O, victim:O, 's:O, network:O, for:O, further:O, exploitation:O, ;:O, thus:O, the:O, Advanced:B-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, team:O, believes:O, this:O, operation:O, is:O, intended:O, to:O, gain:B-Purp, access:I-Purp, to:O, specific:O, financial:B-Org, organizations:I-Org, .:O] </s>
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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: 'CTU researchers assess this as the continuation of activity first observed in 2016 , and it is likely that the campaign is ongoing .' [/INST] [CTU:B-SecTeam, researchers:O, assess:O, this:O, as:O, the:O, continuation:O, of:O, activity:B-OffAct, first:O, observed:O, in:O, 2016:B-Time, ,:O, and:O, it:O, is:O, likely:O, that:O, the:O, campaign:B-OffAct, is:O, ongoing:O, .:O] </s>
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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: 'CTU researchers have observed NICKEL ACADEMY ( Lazarus ) copying and pasting job descriptions from online recruitment sites in previous campaigns .' [/INST] [CTU:B-SecTeam, researchers:O, have:O, observed:O, NICKEL:B-HackOrg, ACADEMY:I-HackOrg, (:O, Lazarus:B-HackOrg, ):O, copying:O, and:O, pasting:O, job:O, descriptions:O, from:O, online:O, recruitment:O, sites:O, in:O, previous:O, campaigns:B-OffAct, .:O] </s>
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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: 'There are several indicators , which have led CTU researchers to believe with high confidence that NICKEL ACADEMY is behind the current spearphishing campaign .' [/INST] [There:O, are:O, several:O, indicators:O, ,:O, which:O, have:O, led:O, CTU:B-SecTeam, researchers:O, to:O, believe:O, with:O, high:O, confidence:O, that:O, NICKEL:B-HackOrg, ACADEMY:I-HackOrg, is:O, behind:O, the:O, current:O, spearphishing:B-OffAct, campaign:I-OffAct, .:O] </s>
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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: 'CTU researchers also identified components in the custom C2 protocol being used which they have seen utilized by Nickel Academy ( Lazarus ) previously .' [/INST] [CTU:B-SecTeam, researchers:O, also:O, identified:O, components:O, in:O, the:O, custom:B-Tool, C2:I-Tool, protocol:I-Tool, being:O, used:O, which:O, they:O, have:O, seen:O, utilized:O, by:O, Nickel:B-HackOrg, Academy:I-HackOrg, (:O, Lazarus:B-HackOrg, ):O, previously:O, .:O] </s>
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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: 'CTU researchers also identified components in the custom C2 protocol being used ( the way in which the malware talks to the Command and Control Servers ) which they have seen utilized by Nickel Academy ( Lazarus ) previously .' [/INST] [CTU:B-SecTeam, researchers:O, also:O, identified:O, components:O, in:O, the:O, custom:B-Tool, C2:I-Tool, protocol:I-Tool, being:O, used:O, (:O, the:O, way:O, in:O, which:O, the:O, malware:O, talks:O, to:O, the:O, Command:O, and:O, Control:O, Servers:O, ):O, which:O, they:O, have:O, seen:O, utilized:O, by:O, Nickel:B-HackOrg, Academy:I-HackOrg, (:O, Lazarus:B-HackOrg, ):O, previously:O, .:O] </s>
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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: 'Leafminer attempts to infiltrate target networks through various means of intrusion : watering hole websites , vulnerability scans of network services on the internet , and brute-force login attempts .' [/INST] [Leafminer:B-HackOrg, attempts:O, to:O, infiltrate:O, target:O, networks:O, through:O, various:O, means:O, of:O, intrusion:O, ::O, watering:B-OffAct, hole:I-OffAct, websites:O, ,:O, vulnerability:O, scans:O, of:O, network:B-Way, services:I-Way, on:O, the:O, internet:O, ,:O, and:O, brute-force:B-Way, login:I-Way, attempts:O, .:O] </s>
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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: 'The researchers found that there are common elements in the macro and in the first- stage RAT used in this campaign , with former campaigns of the NICKEL ACADEMY ( Lazarus ) threat group .' [/INST] [The:O, researchers:O, found:O, that:O, there:O, are:O, common:O, elements:O, in:O, the:O, macro:O, and:O, in:O, the:O, first-:O, stage:O, RAT:B-Tool, used:O, in:O, this:O, campaign:B-OffAct, ,:O, with:O, former:O, campaigns:B-OffAct, of:O, the:O, NICKEL:B-HackOrg, ACADEMY:I-HackOrg, (:O, Lazarus:B-HackOrg, ):O, threat:B-HackOrg, group:I-HackOrg, .:O] </s>
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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: 'During our investigation , there was a breakthrough discovery that helped connect Leafminer to a number of attacks observed on systems in the Middle East and identify the toolkit used in the group 's efforts of intrusion , lateral movement , and exfiltration .' [/INST] [During:O, our:O, investigation:O, ,:O, there:O, was:O, a:O, breakthrough:O, discovery:O, that:O, helped:O, connect:O, Leafminer:B-HackOrg, to:O, a:O, number:O, of:O, attacks:B-OffAct, observed:O, on:O, systems:O, in:O, the:O, Middle:B-Area, East:I-Area, and:O, identify:O, the:O, toolkit:O, used:O, in:O, the:O, group:B-HackOrg, 's:O, efforts:O, of:O, intrusion:O, ,:O, lateral:O, movement:O, ,:O, and:O, exfiltration:O, .:O] </s>
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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: 'As of early June 2018 , the server hosted 112 files in a subdirectory that could be accessed through a public web shell planted by the Leafminer .' [/INST] [As:O, of:O, early:B-Time, June:I-Time, 2018:I-Time, ,:O, the:O, server:O, hosted:O, 112:O, files:O, in:O, a:O, subdirectory:O, that:O, could:O, be:O, accessed:O, through:O, a:O, public:B-Tool, web:I-Tool, shell:I-Tool, planted:O, by:O, the:O, Leafminer:B-HackOrg, .:O] </s>
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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: 'As of early June 2018 , the server hosted 112 files in a subdirectory that could be accessed through a public web shell planted by the attackers .' [/INST] [As:O, of:O, early:B-Time, June:I-Time, 2018:I-Time, ,:O, the:O, server:O, hosted:O, 112:O, files:O, in:O, a:O, subdirectory:O, that:O, could:O, be:O, accessed:O, through:O, a:O, public:B-Tool, web:I-Tool, shell:I-Tool, planted:O, by:O, the:O, attackers:B-HackOrg, .:O] </s>
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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: 'The Leafminer 's post-compromise toolkit suggests that Leafminer is looking for email data , files , and database servers on compromised target systems .' [/INST] [The:O, Leafminer:B-HackOrg, 's:O, post-compromise:O, toolkit:O, suggests:O, that:O, Leafminer:B-HackOrg, is:O, looking:O, for:O, email:B-Purp, data:I-Purp, ,:O, files:B-Purp, ,:O, and:O, database:B-Purp, servers:I-Purp, on:O, compromised:O, target:O, systems:O, .:O] </s>
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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: 'Researching the hacker handle MagicCoder results in references to the Iranian hacking forum Ashiyane as well as defacements by the Iranian hacker group Sun Army .' [/INST] [Researching:O, the:O, hacker:B-HackOrg, handle:O, MagicCoder:O, results:O, in:O, references:O, to:O, the:O, Iranian:B-Area, hacking:O, forum:O, Ashiyane:B-HackOrg, as:O, well:O, as:O, defacements:O, by:O, the:O, Iranian:B-Area, hacker:B-HackOrg, group:I-HackOrg, Sun:B-HackOrg, Army:I-HackOrg, .:O] </s>
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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: 'Targeted regions included in the list of Leafminer are Saudi Arabia , United Arab Emirates , Qatar , Kuwait , Bahrain , Egypt , Israel , and Afghanistan .' [/INST] [Targeted:O, regions:O, included:O, in:O, the:O, list:O, of:O, Leafminer:B-HackOrg, are:O, Saudi:B-Area, Arabia:I-Area, ,:O, United:B-Area, Arab:I-Area, Emirates:I-Area, ,:O, Qatar:B-Area, ,:O, Kuwait:B-Area, ,:O, Bahrain:B-Area, ,:O, Egypt:B-Area, ,:O, Israel:B-Area, ,:O, and:O, Afghanistan:B-Area, .:O] </s>
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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: 'Our investigation of Leafminer started with the discovery of JavaScript code on several compromised websites in the Middle East .' [/INST] [Our:O, investigation:O, of:O, Leafminer:B-HackOrg, started:O, with:O, the:O, discovery:O, of:O, JavaScript:B-Tool, code:I-Tool, on:O, several:O, compromised:B-Tool, websites:I-Tool, in:O, the:O, Middle:B-Area, East:I-Area, .:O] </s>
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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: 'This included the Fuzzbunch framework that was part of an infamous leak of exploits and tools by the Shadow Brokers in April 2017 .' [/INST] [This:O, included:O, the:O, Fuzzbunch:B-Tool, framework:O, that:O, was:O, part:O, of:O, an:O, infamous:O, leak:O, of:O, exploits:O, and:O, tools:O, by:O, the:O, Shadow:B-HackOrg, Brokers:I-HackOrg, in:O, April:B-Time, 2017:I-Time, .:O] </s>
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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: 'Leafminer has developed exploit payloads for this framework ( Table 2 ) that deliver custom malware through attacks against SMB vulnerabilities described by Microsoft .' [/INST] [Leafminer:B-HackOrg, has:O, developed:O, exploit:O, payloads:O, for:O, this:O, framework:O, (:O, Table:O, 2:O, ):O, that:O, deliver:O, custom:O, malware:O, through:O, attacks:B-OffAct, against:O, SMB:B-Exp, vulnerabilities:I-Exp, described:O, by:O, Microsoft:B-Org, .:O] </s>
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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: 'The EternalBlue exploit from the framework received worldwide attention after being used in the ransomware campaigns WannaCry in May and Petya / NotPetya in June 2017 .' [/INST] [The:O, EternalBlue:B-Exp, exploit:I-Exp, from:O, the:O, framework:O, received:O, worldwide:O, attention:O, after:O, being:O, used:O, in:O, the:O, ransomware:B-OffAct, campaigns:I-OffAct, WannaCry:I-OffAct, in:O, May:B-Time, and:O, Petya:B-Tool, /:O, NotPetya:B-Tool, in:O, June:B-Time, 2017:I-Time, .:O] </s>
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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: 'The Leafminer operators use EternalBlue to attempt lateral movement within target networks from compromised staging servers .' [/INST] [The:O, Leafminer:B-HackOrg, operators:B-HackOrg, use:O, EternalBlue:B-Exp, to:O, attempt:O, lateral:O, movement:O, within:O, target:O, networks:O, from:O, compromised:O, staging:O, servers:O, .:O] </s>
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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: 'Symantec also observed attempts by Leafminer to scan for the Heartbleed vulnerability ( CVE-2014-0160 ) from an attacker-controlled IP address .' [/INST] [Symantec:B-SecTeam, also:O, observed:O, attempts:O, by:O, Leafminer:B-HackOrg, to:O, scan:O, for:O, the:O, Heartbleed:B-Exp, vulnerability:I-Exp, (:O, CVE-2014-0160:B-Exp, ):O, from:O, an:O, attacker-controlled:O, IP:O, address:O, .:O] </s>
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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: 'Furthermore , the Leafminer arsenal server hosted a Python script to scan for this vulnerability .' [/INST] [Furthermore:O, ,:O, the:O, Leafminer:B-HackOrg, arsenal:O, server:O, hosted:O, a:O, Python:B-Tool, script:I-Tool, to:O, scan:O, for:O, this:O, vulnerability:O, .:O] </s>
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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: 'Another intrusion approach used by Leafminer seems a lot less sophisticated than the previously described methods but can be just as effective : using specific hacktools to guess the login passwords for services exposed by a targeted system .' [/INST] [Another:O, intrusion:O, approach:O, used:O, by:O, Leafminer:B-HackOrg, seems:O, a:O, lot:O, less:O, sophisticated:O, than:O, the:O, previously:O, described:O, methods:O, but:O, can:O, be:O, just:O, as:O, effective:O, ::O, using:O, specific:O, hacktools:B-Tool, to:O, guess:B-Purp, the:I-Purp, login:I-Purp, passwords:I-Purp, for:O, services:O, exposed:O, by:O, a:O, targeted:O, system:O, .:O] </s>
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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: 'Commands found in a readme text that was stored in a ZIP archive together with the hacktool THC Hydra in Leafminer 's tool arsenal represent online dictionary attacks on Microsoft Exchange and Remote Desktop Protocol services of regional government servers in Saudi Arabia .' [/INST] [Commands:O, found:O, in:O, a:O, readme:O, text:O, that:O, was:O, stored:O, in:O, a:O, ZIP:O, archive:O, together:O, with:O, the:O, hacktool:O, THC:B-Tool, Hydra:I-Tool, in:O, Leafminer:B-HackOrg, 's:O, tool:O, arsenal:O, represent:O, online:B-OffAct, dictionary:I-OffAct, attacks:I-OffAct, on:O, Microsoft:O, Exchange:O, and:O, Remote:O, Desktop:O, Protocol:O, services:O, of:O, regional:O, government:O, servers:O, in:O, Saudi:B-Area, Arabia:I-Area, .:O] </s>
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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: 'Symantec identified two strains of custom malware used by the Leafminer group : Trojan.Imecab and Backdoor.Sorgu .' [/INST] [Symantec:B-SecTeam, identified:O, two:O, strains:O, of:O, custom:O, malware:O, used:O, by:O, the:O, Leafminer:B-HackOrg, group:I-HackOrg, ::O, Trojan.Imecab:B-Tool, and:O, Backdoor.Sorgu:B-Tool, .:O] </s>
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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: 'Leafminer is a highly active group , responsible for targeting a range of organizations across the Middle East .' [/INST] [Leafminer:B-HackOrg, is:O, a:O, highly:O, active:O, group:B-HackOrg, ,:O, responsible:O, for:O, targeting:O, a:O, range:O, of:O, organizations:O, across:O, the:O, Middle:B-Area, East:I-Area, .:O] </s>
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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: 'Leafminer appears to be based in Iran and seems to be eager to learn from and capitalize on tools and techniques used by more advanced threat actors .' [/INST] [Leafminer:B-HackOrg, appears:O, to:O, be:O, based:O, in:O, Iran:B-Area, and:O, seems:O, to:O, be:O, eager:O, to:O, learn:O, from:O, and:O, capitalize:O, on:O, tools:O, and:O, techniques:O, used:O, by:O, more:O, advanced:O, threat:B-HackOrg, actors:I-HackOrg, .:O] </s>
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