Datasets:
pritamdeka
/
dataset_dnrti_train

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xet
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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: 'At a high level , Retriever is a .NET downloader that downloads secondary payloads from servers associated with Magic Hound .' [/INST] [At:O, a:O, high:O, level:O, ,:O, Retriever:B-Tool, is:O, a:O, .NET:B-Tool, downloader:I-Tool, that:O, downloads:O, secondary:O, payloads:O, from:O, servers:O, associated:O, with:O, Magic:O, Hound: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: 'For example , we analyzed a DropIt sample ( SHA256 : cca268c13885ad5751eb70371bbc9ce8c8795654fedb90d9e3886cbcfe323671 ) that dropped two executables , one of which was saved to , %TEMP%\flash_update.exe , that was a legitimate Flash Player installer .' [/INST] [For:O, example:O, ,:O, we:O, analyzed:O, a:O, DropIt:B-Tool, sample:I-Tool, (:O, SHA256:O, ::O, cca268c13885ad5751eb70371bbc9ce8c8795654fedb90d9e3886cbcfe323671:O, ):O, that:O, dropped:B-Features, two:I-Features, executables:I-Features, ,:O, one:O, of:O, which:O, was:O, saved:O, to:O, ,:O, %TEMP%\flash_update.exe:B-SamFile, ,:O, that:O, was:O, a:O, legitimate:O, Flash:B-Tool, Player:I-Tool, installer: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: 'M-Trends 2018 can arm security teams with the knowledge they need to defend against today 's most often used cyber attacks , as well as lesser seen and emerging threats .' [/INST] [M-Trends:B-SecTeam, 2018:B-Time, can:O, arm:O, security:O, teams:O, with:O, the:O, knowledge:O, they:O, need:O, to:O, defend:O, against:O, today:O, 's:O, most:O, often:O, used:O, cyber:B-OffAct, attacks:I-OffAct, ,:O, as:O, well:O, as:O, lesser:O, seen:O, and:O, emerging:O, threats:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye tracks thousands of threat actors , but pays special attention to state-sponsored attackers who carry out advanced persistent threat ( APT ) attacks .' [/INST] [FireEye:B-SecTeam, tracks:O, thousands:O, of:O, threat:B-HackOrg, actors:I-HackOrg, ,:O, but:O, pays:O, special:O, attention:O, to:O, state-sponsored:O, attackers:B-HackOrg, who:O, carry:O, out:O, advanced:O, persistent:O, threat:O, (:O, APT:B-HackOrg, ):O, attacks:B-OffAct, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since at least 2014 , APT32 , also known as the OceanLotus Group , has targeted foreign corporations with investments in Vietnam , foreign governments , journalists , and Vietnamese dissidents .' [/INST] [Since:O, at:O, least:O, 2014:B-Time, ,:O, APT32:B-HackOrg, ,:O, also:O, known:O, as:O, the:O, OceanLotus:B-HackOrg, Group:I-HackOrg, ,:O, has:O, targeted:O, foreign:B-Idus, corporations:I-Idus, with:O, investments:O, in:O, Vietnam:B-Area, ,:O, foreign:B-Org, governments:I-Org, ,:O, journalists:B-Org, ,:O, and:O, Vietnamese:B-Area, dissidents:B-Org, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During a recent campaign , APT32 leveraged social engineering emails with Microsoft ActiveMime file attachments to deliver malicious macros .' [/INST] [During:O, a:O, recent:O, campaign:B-OffAct, ,:O, APT32:B-HackOrg, leveraged:O, social:B-Way, engineering:I-Way, emails:I-Way, with:O, Microsoft:B-SamFile, ActiveMime:I-SamFile, file:I-SamFile, attachments:O, to:O, deliver:B-Purp, malicious:I-Purp, macros:I-Purp, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Evidence also suggests that APT32 has targeted network security and technology infrastructure corporations with connections to foreign investors .' [/INST] [Evidence:O, also:O, suggests:O, that:O, APT32:B-HackOrg, has:O, targeted:O, network:B-Idus, security:I-Idus, and:O, technology:B-Org, infrastructure:I-Org, corporations:I-Org, with:O, connections:O, to:O, foreign:O, investors:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since at least 2014 , APT32 , also known as the OceanLotus Group , has targeted foreign corporations foreign governments .' [/INST] [Since:O, at:O, least:O, 2014:B-Time, ,:O, APT32:B-HackOrg, ,:O, also:O, known:O, as:O, the:O, OceanLotus:B-HackOrg, Group:I-HackOrg, ,:O, has:O, targeted:O, foreign:B-Idus, corporations:I-Idus, foreign:O, governments: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: 'FireEye asesses that APT32 actors may be aligned with the national interests of Vietnam .' [/INST] [FireEye:B-SecTeam, asesses:O, that:O, APT32:B-HackOrg, actors:I-HackOrg, may:O, be:O, aligned:O, with:O, the:O, national:O, interests:O, of:O, Vietnam: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: 'APT32 poses a threat to companies doing business or preparing to invest in Vietnam .' [/INST] [APT32:B-HackOrg, poses:O, a:O, threat:O, to:O, companies:O, doing:O, business:O, or:O, preparing:O, to:O, invest:O, in:O, Vietnam: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: 'We believe recent activity targeting private interests in Vietnam suggests that APT32 poses a threat to companies doing business or preparing to invest in the country .' [/INST] [We:O, believe:O, recent:O, activity:B-OffAct, targeting:O, private:O, interests:O, in:O, Vietnam:B-Area, suggests:O, that:O, APT32:B-HackOrg, poses:O, a:O, threat:O, to:O, companies:O, doing:O, business:O, or:O, preparing:O, to:O, invest:O, in:O, the:O, country: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: 'DROPSHOT is a notable piece of malware used to deliver variants of the TURNEDUP backdoor .' [/INST] [DROPSHOT:B-Tool, is:O, a:O, notable:O, piece:O, of:O, malware:B-Tool, used:O, to:O, deliver:B-Features, variants:I-Features, of:I-Features, the:I-Features, TURNEDUP:I-Features, backdoor: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: 'Additionally , there is evidence to suggest APT33 targeted Saudi Arabia .' [/INST] [Additionally:O, ,:O, there:O, is:O, evidence:O, to:O, suggest:O, APT33:B-HackOrg, targeted:O, Saudi:B-Area, Arabia: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: 'APT33 often conducts spear-phishing operations using a built-in phishing module .' [/INST] [APT33:B-HackOrg, often:O, conducts:O, spear-phishing:B-Way, operations:O, using:O, a:O, built-in:O, phishing:B-Way, module: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: 'Additionally , there is evidence to suggest APT33 targeted Saudi Arabian and Western organizations that provide training , maintenance and support for Saudi Arabia 's military and commercial fleets .' [/INST] [Additionally:O, ,:O, there:O, is:O, evidence:O, to:O, suggest:O, APT33:B-HackOrg, targeted:O, Saudi:B-Area, Arabian:I-Area, and:O, Western:B-Area, organizations:O, that:O, provide:O, training:O, ,:O, maintenance:O, and:O, support:O, for:O, Saudi:B-Area, Arabia:I-Area, 's:O, military:B-Idus, and:O, commercial:B-Idus, fleets: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: 'Although we have only observed APT33 use DROPSHOT to deliver TURNEDUP , we have identified multiple DROPSHOT samples in the wild that delivered wiper malware we call SHAPESHIFT .' [/INST] [Although:O, we:O, have:O, only:O, observed:O, APT33:B-HackOrg, use:O, DROPSHOT:B-Tool, to:O, deliver:O, TURNEDUP:O, ,:O, we:O, have:O, identified:O, multiple:O, DROPSHOT:B-Tool, samples:I-Tool, in:O, the:O, wild:O, that:O, delivered:O, wiper:O, malware:O, we:O, call:O, SHAPESHIFT: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: 'The SHAPESHIFT wiper is capable of wiping disks and volumes , as well as deleting files .' [/INST] [The:O, SHAPESHIFT:B-Tool, wiper:I-Tool, is:O, capable:O, of:O, wiping:B-Features, disks:I-Features, and:I-Features, volumes:I-Features, ,:O, as:O, well:O, as:O, deleting:B-Features, files: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: 'Ties to SHAPESHIFT suggest that APT33 may engage in destructive operations or shares tools or development resources with an Iranian threat group that conducts destructive operations .' [/INST] [Ties:O, to:O, SHAPESHIFT:B-Tool, suggest:O, that:O, APT33:B-HackOrg, may:O, engage:O, in:O, destructive:O, operations:O, or:O, shares:O, tools:O, or:O, development:O, resources:O, with:O, an:O, Iranian:B-Area, threat:B-HackOrg, group:I-HackOrg, that:O, conducts:O, destructive:O, operations:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In a recent attack , APT33 sent spear-phishing emails to workers in the aviation industry .' [/INST] [In:O, a:O, recent:O, attack:B-OffAct, ,:O, APT33:B-HackOrg, sent:O, spear-phishing:B-Way, emails:I-Way, to:O, workers:O, in:O, the:O, aviation:B-Idus, industry:I-Idus, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The HTA files contained job descriptions and links to job postings on popular employment websites .' [/INST] [The:O, HTA:B-SamFile, files:I-SamFile, contained:B-Features, job:I-Features, descriptions:I-Features, and:I-Features, links:I-Features, to:O, job:O, postings:O, on:O, popular:O, employment:O, websites:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since at least 2014 , an Iranian threat group tracked by FireEye as APT34 has conducted reconnaissance aligned with the strategic interests of Iran .' [/INST] [Since:O, at:O, least:O, 2014:B-Time, ,:O, an:O, Iranian:B-Area, threat:B-HackOrg, group:I-HackOrg, tracked:O, by:O, FireEye:B-SecTeam, as:O, APT34:B-HackOrg, has:O, conducted:O, reconnaissance:O, aligned:O, with:O, the:O, strategic:O, interests:O, of:O, Iran: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: 'These emails included recruitment-themed lures and links to malicious HTML application ( HTA ) files .' [/INST] [These:O, emails:B-Way, included:O, recruitment-themed:B-Way, lures:I-Way, and:O, links:O, to:O, malicious:O, HTML:B-Tool, application:I-Tool, (:O, HTA:B-SamFile, ):O, files: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 OilRig group conducts operations primarily in the Middle East , targeting financial , government , energy , chemical , telecommunications and other industries .' [/INST] [The:O, OilRig:B-HackOrg, group:I-HackOrg, conducts:O, operations:O, primarily:O, in:O, the:O, Middle:B-Area, East:I-Area, ,:O, targeting:O, financial:B-Idus, ,:O, government:B-Idus, ,:O, energy:B-Idus, ,:O, chemical:B-Idus, ,:O, telecommunications:B-Idus, and:O, other:O, industries:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT34 uses a mix of public and non-public tools .' [/INST] [APT34:B-HackOrg, uses:O, a:O, mix:O, of:O, public:B-Tool, and:I-Tool, non-public:I-Tool, tools:I-Tool, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT34 often uses compromised accounts to conduct spear-phishing operations .' [/INST] [APT34:B-HackOrg, often:O, uses:O, compromised:B-Tool, accounts:I-Tool, to:O, conduct:O, spear-phishing:B-Way, operations:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT33 leverages a mix of public and non-public tools and often conducts spear-phishing operations using a built-in phishing module from , ALFA TEaM Shell , , a publicly available web shell .' [/INST] [APT33:B-HackOrg, leverages:O, a:O, mix:O, of:O, public:B-Tool, and:I-Tool, non-public:I-Tool, tools:I-Tool, and:O, often:O, conducts:O, spear-phishing:B-Way, operations:O, using:O, a:O, built-in:O, phishing:B-Way, module:I-Way, from:O, ,:O, ALFA:B-Tool, TEaM:I-Tool, Shell:I-Tool, ,:O, ,:O, a:O, publicly:B-Tool, available:I-Tool, web:I-Tool, shell:I-Tool, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In July 2017 , FireEye observed APT34 targeting an organization in the Middle East using the POWRUNER PowerShell-based backdoor and the downloader BONDUPDATER , which includes a domain generation algorithm ( DGA ) for command and control .' [/INST] [In:O, July:B-Time, 2017:I-Time, ,:O, FireEye:B-SecTeam, observed:O, APT34:B-HackOrg, targeting:O, an:O, organization:O, in:O, the:O, Middle:B-Area, East:I-Area, using:O, the:O, POWRUNER:B-Tool, PowerShell-based:I-Tool, backdoor:I-Tool, and:O, the:O, downloader:O, BONDUPDATER:B-Tool, ,:O, which:O, includes:O, a:O, domain:O, generation:O, algorithm:O, (:O, DGA:O, ):O, for:O, command:O, and:O, control: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: 'POWRUNER was delivered using a malicious RTF file that exploited CVE-2017-0199 .' [/INST] [POWRUNER:B-Tool, was:O, delivered:O, using:O, a:O, malicious:O, RTF:B-SamFile, file:I-SamFile, that:O, exploited:O, CVE-2017-0199:B-Exp, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In November 2017 , APT34 leveraged the Microsoft Office vulnerability CVE-2017-11882 to deploy POWRUNER and BONDUPDATER less than a week after Microsoft issued a patch .' [/INST] [In:O, November:B-Time, 2017:I-Time, ,:O, APT34:B-HackOrg, leveraged:O, the:O, Microsoft:B-Exp, Office:I-Exp, vulnerability:I-Exp, CVE-2017-11882:B-Exp, to:O, deploy:O, POWRUNER:B-Tool, and:O, BONDUPDATER:B-Tool, less:O, than:O, a:O, week:O, after:O, Microsoft:B-Org, issued:O, a:O, patch:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye has identified APT35 operations dating back to 2014 .' [/INST] [FireEye:B-SecTeam, has:O, identified:O, APT35:B-HackOrg, operations:O, dating:O, back:O, to:O, 2014:B-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT35 , also known as the Newscaster Team , is a threat group sponsored by the Iranian government that conducts long term , resource-intensive operations to collect strategic intelligence .' [/INST] [APT35:B-HackOrg, ,:O, also:O, known:O, as:O, the:O, Newscaster:B-HackOrg, Team:I-HackOrg, ,:O, is:O, a:O, threat:B-HackOrg, group:I-HackOrg, sponsored:O, by:O, the:O, Iranian:B-Area, government:O, that:O, conducts:O, long:O, term:O, ,:O, resource-intensive:O, operations:O, to:O, collect:O, strategic:O, intelligence: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: 'APT35 typically targets military , diplomatic and government , media , energy , engineering , business services and telecommunications sectors in U.S. and the Middle East .' [/INST] [APT35:B-HackOrg, typically:O, targets:O, military:B-Idus, ,:O, diplomatic:B-Idus, and:O, government:B-Idus, ,:O, media:B-Idus, ,:O, energy:B-Idus, ,:O, engineering:B-Idus, ,:O, business:B-Idus, services:I-Idus, and:O, telecommunications:B-Org, sectors:I-Org, in:O, U.S.:B-Area, and:O, the:O, Middle:B-Area, East: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: 'APT35 has historically used unsophisticated tools like those listed below in Figure 3 .' [/INST] [APT35:B-HackOrg, has:O, historically:O, used:O, unsophisticated:B-Tool, tools:I-Tool, like:O, those:O, listed:O, below:O, in:O, Figure:O, 3: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: 'APT35 typically targets U.S. and the Middle Eastern military , diplomatic and government personnel , organizations in the media , energy and defense industrial base ( DIB ) , and engineering , business services and telecommunications sectors .' [/INST] [APT35:B-HackOrg, typically:O, targets:O, U.S.:B-Area, and:O, the:O, Middle:B-Area, Eastern:I-Area, military:B-Org, ,:O, diplomatic:B-Org, and:O, government:B-Org, personnel:I-Org, ,:O, organizations:B-Idus, in:O, the:O, media:B-Idus, ,:O, energy:B-Idus, and:O, defense:B-Org, industrial:I-Org, base:I-Org, (:O, DIB:B-Org, ):O, ,:O, and:O, engineering:B-Idus, ,:O, business:B-Idus, services:I-Idus, and:O, telecommunications: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: 'Many of the fake personas utilized by APT35 claimed to be part of news organizations , which led to APT35 being referred to as the Newscaster Team .' [/INST] [Many:O, of:O, the:O, fake:O, personas:O, utilized:O, by:O, APT35:B-HackOrg, claimed:O, to:O, be:O, part:O, of:O, news:B-Org, organizations:I-Org, ,:O, which:O, led:O, to:O, APT35:B-HackOrg, being:O, referred:O, to:O, as:O, the:O, Newscaster:B-HackOrg, Team:I-HackOrg, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since at least 2013 , the Iranian threat group that FireEye tracks as APT33 has carried out a cyber espionage operation to collect information from defense , aerospace and petrochemical organizations .' [/INST] [Since:O, at:O, least:O, 2013:B-Time, ,:O, the:O, Iranian:B-Area, threat:B-HackOrg, group:I-HackOrg, that:O, FireEye:B-SecTeam, tracks:O, as:O, APT33:B-HackOrg, has:O, carried:O, out:O, a:O, cyber:O, espionage:O, operation:O, to:O, collect:O, information:O, from:O, defense:B-Idus, ,:O, aerospace:B-Idus, and:O, petrochemical:B-Org, organizations: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: 'Since at least 2013 , the Iranian threat group FireEye tracks as APT33 has carried out a cyber espionage operation to collect information from defense , aerospace and petrochemical organizations .' [/INST] [Since:O, at:O, least:O, 2013:B-Time, ,:O, the:O, Iranian:B-Area, threat:B-HackOrg, group:I-HackOrg, FireEye:B-SecTeam, tracks:O, as:O, APT33:B-HackOrg, has:O, carried:O, out:O, a:O, cyber:O, espionage:O, operation:O, to:O, collect:O, information:O, from:O, defense:B-Idus, ,:O, aerospace:B-Idus, and:O, petrochemical:B-Org, organizations:I-Org, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In early 2017 , Mandiant responded to an incident involving APT35 targeting an energy company .' [/INST] [In:O, early:B-Time, 2017:I-Time, ,:O, Mandiant:B-SecTeam, responded:O, to:O, an:O, incident:O, involving:O, APT35:B-HackOrg, targeting:O, an:O, energy:B-Org, company:I-Org, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attacker used a spear-phishing email containing a link to a fake resume hosted on a legitimate website that had been compromised .' [/INST] [The:O, attacker:B-HackOrg, used:O, a:O, spear-phishing:B-Way, email:I-Way, containing:B-Features, a:I-Features, link:I-Features, to:O, a:O, fake:O, resume:O, hosted:O, on:O, a:O, legitimate:O, website:O, that:O, had:O, been:O, compromised:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT35 also installed BROKEYOLK , a custom backdoor , to maintain persistence on the compromised host .' [/INST] [APT35:B-HackOrg, also:O, installed:O, BROKEYOLK:O, ,:O, a:O, custom:B-Tool, backdoor:I-Tool, ,:O, to:O, maintain:B-Purp, persistence:I-Purp, on:I-Purp, the:I-Purp, compromised:I-Purp, host:I-Purp, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'They then proceeded to log directly into the VPN using the credentials of the compromised user .' [/INST] [They:O, then:O, proceeded:O, to:O, log:B-Purp, directly:I-Purp, into:I-Purp, the:I-Purp, VPN:I-Purp, using:O, the:O, credentials:B-Tool, of:I-Tool, the:I-Tool, compromised:I-Tool, user:I-Tool, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The resume contained the PupyRAT backdoor , which communicated with known APT35 infrastructure .' [/INST] [The:O, resume:O, contained:O, the:O, PupyRAT:B-Tool, backdoor:I-Tool, ,:O, which:O, communicated:O, with:O, known:O, APT35:B-HackOrg, infrastructure:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once connected to the VPN , APT35 focused on stealing domain credentials from a Microsoft Active Directory Domain Controller to allow them to authenticate to the single-factor VPN and Office 365 instance .' [/INST] [Once:O, connected:O, to:O, the:O, VPN:O, ,:O, APT35:B-HackOrg, focused:O, on:O, stealing:O, domain:O, credentials:O, from:O, a:O, Microsoft:O, Active:O, Directory:O, Domain:O, Controller:O, to:O, allow:O, them:O, to:O, authenticate:O, to:O, the:O, single-factor:O, VPN:O, and:O, Office:O, 365:O, instance: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 having access to the organization 's environment , the Magic Hound targeted data related to entities in the Middle East .' [/INST] [While:O, having:O, access:O, to:O, the:O, organization:O, 's:O, environment:O, ,:O, the:O, Magic:O, Hound:O, targeted:O, data:O, related:O, to:O, entities:O, in:O, the:O, Middle:B-Area, East: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: 'Mandiant has previously observed targeted attackers stealing email , but few threat actors have been as successful at this as APT35 .' [/INST] [Mandiant:B-SecTeam, has:O, previously:O, observed:O, targeted:O, attackers:B-HackOrg, stealing:O, email:O, ,:O, but:O, few:O, threat:B-HackOrg, actors:I-HackOrg, have:O, been:O, as:O, successful:O, at:O, this:O, as:O, APT35: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 campaigns delivered PupyRAT , an open-source cross-platform remote access trojan ( RAT ) .' [/INST] [The:O, campaigns:B-OffAct, delivered:O, PupyRAT:B-Tool, ,:O, an:O, open-source:O, cross-platform:O, remote:B-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: 'Ultimately , APT35 had used access to hundreds of mailboxes to read email communications and steal data related to Middle East organizations , which later became victims of destructive attacks .' [/INST] [Ultimately:O, ,:O, APT35:B-HackOrg, had:O, used:O, access:O, to:O, hundreds:O, of:O, mailboxes:O, to:O, read:O, email:B-Idus, communications:I-Idus, and:O, steal:B-Purp, data:I-Purp, related:O, to:O, Middle:B-Area, East:I-Area, organizations:O, ,:O, which:O, later:O, became:O, victims:O, of:O, destructive: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: 'CTU researchers observed likely unsuccessful phishing campaigns being followed by highly targeted spearphishing and social engineering attacks from a threat actor using the name Mia Ash .' [/INST] [CTU:B-SecTeam, researchers:O, observed:O, likely:O, unsuccessful:O, phishing:B-OffAct, campaigns:I-OffAct, being:O, followed:O, by:O, highly:O, targeted:O, spearphishing:B-Way, and:O, social:B-OffAct, engineering:I-OffAct, attacks:I-OffAct, from:O, a:O, threat:B-HackOrg, actor:I-HackOrg, using:O, the:O, name:O, Mia:B-HackOrg, Ash: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: 'Further analysis revealed a well-established collection of fake social media profiles that appear intended to build trust and rapport with potential victims .' [/INST] [Further:O, analysis:O, revealed:O, a:O, well-established:O, collection:O, of:O, fake:O, social:B-Idus, media:I-Idus, profiles:O, that:O, appear:O, intended:O, to:O, build:B-Features, trust:I-Features, and:O, rapport:B-Features, with:I-Features, potential:I-Features, victims: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: 'COBALT GYPSY has used spearphishing to target telecommunications , government , defense , oil , and financial services organizations based in or affiliated with the MENA region , identifying individual victims through social media sites .' [/INST] [COBALT:B-HackOrg, GYPSY:I-HackOrg, has:O, used:O, spearphishing:B-Way, to:O, target:O, telecommunications:B-Idus, ,:O, government:B-Idus, ,:O, defense:B-Idus, ,:O, oil:B-Idus, ,:O, and:O, financial:B-Org, services:I-Org, organizations:I-Org, based:O, in:O, or:O, affiliated:O, with:O, the:O, MENA:B-Area, region:O, ,:O, identifying:O, individual:B-Org, victims:I-Org, through:O, social:B-Idus, media:I-Idus, sites: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 connections associated with these profiles indicate the threat actor began using the persona to target organizations in April 2016 .' [/INST] [The:O, connections:O, associated:O, with:O, these:O, profiles:O, indicate:O, the:O, threat:B-HackOrg, actor:I-HackOrg, began:O, using:O, the:O, persona:O, to:O, target:O, organizations:O, in:O, April:B-Time, 2016:I-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Between December 28 , 2016 and January 1 , 2017 , CTU researchers observed a phishing campaign targeting Middle Eastern organizations .' [/INST] [Between:O, December:B-Time, 28:I-Time, ,:I-Time, 2016:I-Time, and:O, January:B-Time, 1:I-Time, ,:I-Time, 2017:I-Time, ,:O, CTU:B-SecTeam, researchers:O, observed:O, a:O, phishing:B-OffAct, campaign:I-OffAct, targeting:O, Middle:B-Area, Eastern:I-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: 'The macro ran a PowerShell command that attempted to download additional PowerShell loader scripts for PupyRAT , a research and penetration-testing tool that has been used in attacks .' [/INST] [The:O, macro:O, ran:O, a:O, PowerShell:B-Tool, command:I-Tool, that:O, attempted:O, to:O, download:B-Features, additional:I-Features, PowerShell:I-Features, loader:I-Features, scripts:I-Features, for:O, PupyRAT:B-Tool, ,:O, a:O, research:B-Tool, and:I-Tool, penetration-testing:I-Tool, tool:I-Tool, that:O, has:O, been:O, used:O, in:O, attacks:B-OffAct, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The survey contained macros that , once enabled , downloaded PupyRAT .' [/INST] [The:O, survey:O, contained:O, macros:O, that:O, ,:O, once:O, enabled:O, ,:O, downloaded:O, PupyRAT: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: 'CTU researchers determined that the COBALT GYPSY threat group orchestrated this activity due to the tools , techniques , and procedures ( TTPs ) used in both campaigns .' [/INST] [CTU:B-SecTeam, researchers:O, determined:O, that:O, the:O, COBALT:B-HackOrg, GYPSY:I-HackOrg, threat:B-HackOrg, group:I-HackOrg, orchestrated:O, this:O, activity:B-OffAct, due:O, to:O, the:O, tools:O, ,:O, techniques:O, ,:O, and:O, procedures:O, (:O, TTPs:O, ):O, used:O, in:O, both:O, campaigns:B-OffAct, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Magic Hound has repeatedly used social media to identify and interact with employees at targeted organizations and then used weaponized Excel documents .' [/INST] [The:O, Magic:O, Hound:O, has:O, repeatedly:O, used:O, social:B-Idus, media:I-Idus, to:O, identify:O, and:O, interact:O, with:O, employees:B-Org, at:O, targeted:O, organizations:O, and:O, then:O, used:O, weaponized:O, Excel:B-Way, documents:I-Way, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group has repeatedly used social media , particularly LinkedIn , to identify and interact with employees at targeted organizations , and then used weaponized Excel documents to deliver RATs such as PupyRAT .' [/INST] [The:O, group:B-HackOrg, has:O, repeatedly:O, used:O, social:B-Idus, media:I-Idus, ,:O, particularly:O, LinkedIn:O, ,:O, to:O, identify:B-Purp, and:I-Purp, interact:I-Purp, with:I-Purp, employees:I-Purp, at:O, targeted:O, organizations:O, ,:O, and:O, then:O, used:O, weaponized:O, Excel:B-Way, documents:I-Way, to:O, deliver:O, RATs:B-Tool, such:O, as:O, PupyRAT: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: 'By compromising a user account that has administrative or elevated access , Magic Hound can quickly access a targeted environment to achieve their objectives .' [/INST] [By:O, compromising:B-Way, a:I-Way, user:I-Way, account:I-Way, that:O, has:O, administrative:O, or:O, elevated:O, access:O, ,:O, Magic:O, Hound:O, can:O, quickly:O, access:O, a:O, targeted:O, environment:O, to:O, achieve:O, their:O, objectives:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These characteristics suggest that COBALT GYPSY executed the January and February phishing campaigns and that it created the Mia Ash persona .' [/INST] [These:O, characteristics:O, suggest:O, that:O, COBALT:B-HackOrg, GYPSY:I-HackOrg, executed:O, the:O, January:B-Time, and:O, February:B-Time, phishing:B-OffAct, campaigns:I-OffAct, and:O, that:O, it:O, created:O, the:O, Mia:B-HackOrg, Ash:I-HackOrg, persona:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers have observed multiple COBALT GYPSY campaigns since 2015 and consider it highly likely that the group is associated with Iranian government-directed cyber operations .' [/INST] [CTU:B-SecTeam, researchers:O, have:O, observed:O, multiple:O, COBALT:B-OffAct, GYPSY:I-OffAct, campaigns:I-OffAct, since:O, 2015:B-Time, and:O, consider:O, it:O, highly:O, likely:O, that:O, the:O, group:B-HackOrg, is:O, associated:O, with:O, Iranian:B-Area, government-directed:O, cyber:O, operations:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The use of the Mia Ash persona demonstrates the creativity and persistence that threat actors employ to compromise targets .' [/INST] [The:O, use:O, of:O, the:O, Mia:B-Tool, Ash:I-Tool, persona:O, demonstrates:O, the:O, creativity:O, and:O, persistence:O, that:O, threat:B-HackOrg, actors:I-HackOrg, employ:O, to:O, compromise:O, targets:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers conclude that COBALT GYPSY created the persona to gain unauthorized access to targeted computer networks via social engineering .' [/INST] [CTU:B-SecTeam, researchers:O, conclude:O, that:O, COBALT:B-HackOrg, GYPSY:I-HackOrg, created:O, the:O, persona:O, to:O, gain:O, unauthorized:O, access:O, to:O, targeted:O, computer:O, networks:O, via:O, social:B-Idus, engineering:I-Idus, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The persistent use of social media to identify and manipulate victims indicates that COBALT GYPSY successfully achieves its objectives using this tactic .' [/INST] [The:O, persistent:O, use:O, of:O, social:B-Idus, media:I-Idus, to:O, identify:O, and:O, manipulate:O, victims:O, indicates:O, that:O, COBALT:B-HackOrg, GYPSY:I-HackOrg, successfully:O, achieves:O, its:O, objectives:O, using:O, this:O, tactic: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: 'COBALT GYPSY 's continued social media use reinforces the importance of recurring social engineering training .' [/INST] [COBALT:B-HackOrg, GYPSY:I-HackOrg, 's:O, continued:O, social:B-Idus, media:I-Idus, use:O, reinforces:O, the:O, importance:O, of:O, recurring:O, social:B-Idus, engineering:I-Idus, training: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: 'SecureWorks Counter Threat Unit ( CTU ) researchers analyzed a phishing campaign that targeted a Middle Eastern organization in early January 2017 .' [/INST] [SecureWorks:B-SecTeam, Counter:I-SecTeam, Threat:I-SecTeam, Unit:I-SecTeam, (:O, CTU:B-SecTeam, ):O, researchers:O, analyzed:O, a:O, phishing:B-OffAct, campaign:I-OffAct, that:O, targeted:O, a:O, Middle:B-Area, Eastern:I-Area, organization:B-Org, in:O, early:B-Time, January:I-Time, 2017:I-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'SecureWorks® Counter Threat Unit™ ( CTU ) researchers analyzed a phishing campaign that targeted a Middle Eastern organization in early January 2017 .' [/INST] [SecureWorks®:B-SecTeam, Counter:I-SecTeam, Threat:I-SecTeam, Unit™:I-SecTeam, (:O, CTU:B-SecTeam, ):O, researchers:O, analyzed:O, a:O, phishing:B-OffAct, campaign:I-OffAct, that:O, targeted:O, a:O, Middle:B-Area, Eastern:I-Area, organization:B-Org, in:O, early:B-Time, January:I-Time, 2017:I-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU analysis suggests this activity is related to Iranian threat actors closely aligned with or acting on behalf of the COBALT GYPSY threat group ( formerly labeled Threat Group-2889 ) .' [/INST] [CTU:B-SecTeam, analysis:O, suggests:O, this:O, activity:B-OffAct, is:O, related:O, to:O, Iranian:B-Area, threat:B-HackOrg, actors:I-HackOrg, closely:O, aligned:O, with:O, or:O, acting:O, on:O, behalf:O, of:O, the:O, COBALT:B-HackOrg, GYPSY:I-HackOrg, threat:B-HackOrg, group:I-HackOrg, (:O, formerly:O, labeled:O, Threat:B-HackOrg, Group-2889:I-HackOrg, ):O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since early 2014 , an attacker group of Iranian origin has been actively targeting persons of interest by means of malware infection , supported by persistent spear phishing campaigns .' [/INST] [Since:O, early:B-Time, 2014:I-Time, ,:O, an:O, attacker:B-HackOrg, group:I-HackOrg, of:O, Iranian:B-Area, origin:O, has:O, been:O, actively:O, targeting:O, persons:O, of:O, interest:O, by:O, means:O, of:O, malware:O, infection:O, ,:O, supported:O, by:O, persistent:O, spear:B-OffAct, phishing:I-OffAct, campaigns: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: 'This cyber-espionage group was dubbed ' Rocket Kitten ' , and remains active as of this writing , with reported attacks as recent as October 2015 .' [/INST] [This:O, cyber-espionage:B-HackOrg, group:I-HackOrg, was:O, dubbed:O, ':O, Rocket:B-HackOrg, Kitten:I-HackOrg, ':O, ,:O, and:O, remains:O, active:O, as:O, of:O, this:O, writing:O, ,:O, with:O, reported:O, attacks:B-OffAct, as:O, recent:O, as:O, October:B-Time, 2015:I-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Characterized by relatively unsophisticated technical merit and extensive use of spear phishing , the Magic Hound targeted individuals and organizations in the Middle East ( including targets inside Iran itself ) , as well as across Europe and in the United States .' [/INST] [Characterized:O, by:O, relatively:O, unsophisticated:B-Tool, technical:I-Tool, merit:I-Tool, and:O, extensive:O, use:O, of:O, spear:B-Way, phishing:I-Way, ,:O, the:O, Magic:O, Hound:O, targeted:O, individuals:O, and:O, organizations:O, in:O, the:O, Middle:B-Area, East:I-Area, (:O, including:O, targets:O, inside:O, Iran:B-Area, itself:O, ):O, ,:O, as:O, well:O, as:O, across:O, Europe:B-Area, and:O, in:O, the:O, United:B-Area, States:I-Area, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The May 2014 ' Operation Saffron Rose ' publication identifies an Iranian hacking group formerly named ' Ajax Security ' ( code-named ' Flying Kitten ' by CrowdStrike ) engaged in active spear phishing attacks on Iranian dissidents ( those attempting to circumvent government traffic monitoring ) .' [/INST] [The:O, May:B-Time, 2014:I-Time, ':O, Operation:B-OffAct, Saffron:I-OffAct, Rose:I-OffAct, ':O, publication:O, identifies:O, an:O, Iranian:B-Area, hacking:B-HackOrg, group:I-HackOrg, formerly:O, named:O, ':O, Ajax:B-HackOrg, Security:I-HackOrg, ':O, (:O, code-named:O, ':O, Flying:B-HackOrg, Kitten:I-HackOrg, ':O, by:O, CrowdStrike:B-SecTeam, ):O, engaged:O, in:O, active:O, spear:B-OffAct, phishing:I-OffAct, attacks:I-OffAct, on:O, Iranian:B-Area, dissidents:B-Org, (:O, those:O, attempting:O, to:O, circumvent:O, government:O, traffic:O, monitoring:O, ):O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'An Iranian hacking group formerly named Ajax Security ( code-named ' Flying Kitten ' by CrowdStrike ) engaged in active spear phishing attacks on Iranian dissidents ( those attempting to circumvent government traffic monitoring ) .' [/INST] [An:O, Iranian:B-Area, hacking:B-HackOrg, group:I-HackOrg, formerly:O, named:O, Ajax:B-HackOrg, Security:I-HackOrg, (:O, code-named:O, ':O, Flying:B-HackOrg, Kitten:I-HackOrg, ':O, by:O, CrowdStrike:B-SecTeam, ):O, engaged:O, in:O, active:O, spear:B-OffAct, phishing:I-OffAct, attacks:I-OffAct, on:O, Iranian:B-Area, dissidents:B-Org, (:O, those:O, attempting:O, to:O, circumvent:O, government:O, traffic:O, monitoring:O, ):O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The report specifies the Magic Hound targeted political , military and defense industry in the US , UK and Israel .' [/INST] [The:O, report:O, specifies:O, the:O, Magic:O, Hound:O, targeted:O, political:B-Idus, ,:O, military:B-Idus, and:O, defense:B-Idus, industry:I-Idus, in:O, the:O, US:B-Area, ,:O, UK:B-Area, and:O, Israel: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: 'ClearSky 's September 2014 blog post first described active attacks using a piece of malware they dubbed ' Gholee ' ( as appears in a malicious payload export function , potentially named after a popular Iranian singer9 ) .' [/INST] [ClearSky:B-SecTeam, 's:O, September:B-Time, 2014:I-Time, blog:O, post:O, first:O, described:O, active:O, attacks:B-OffAct, using:O, a:O, piece:O, of:O, malware:O, they:O, dubbed:O, ':O, Gholee:B-Tool, ':O, (:O, as:O, appears:O, in:O, a:O, malicious:O, payload:O, export:O, function:O, ,:O, potentially:O, named:O, after:O, a:O, popular:O, Iranian:B-Area, singer9:O, ):O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Rocket Kitten attacker group 's main attack vector is spear-phishing .' [/INST] [The:O, Rocket:B-HackOrg, Kitten:I-HackOrg, attacker:B-HackOrg, group:I-HackOrg, 's:O, main:O, attack:O, vector:O, is:O, spear-phishing:B-Way, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After learning of an active attack incident from the Rocket Kitten group on a customer network , Check Point researchers decided to actively join the investigation .' [/INST] [After:O, learning:O, of:O, an:O, active:O, attack:B-OffAct, incident:O, from:O, the:O, Rocket:B-HackOrg, Kitten:I-HackOrg, group:I-HackOrg, on:O, a:O, customer:O, network:O, ,:O, Check:B-SecTeam, Point:I-SecTeam, researchers:O, decided:O, to:O, actively:O, join:O, the:O, investigation: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 described in previous publications , the Rocket Kitten attackers make extensive use of various phishing schemes .' [/INST] [As:O, described:O, in:O, previous:O, publications:O, ,:O, the:O, Rocket:B-HackOrg, Kitten:I-HackOrg, attackers:B-HackOrg, make:O, extensive:O, use:O, of:O, various:O, phishing:B-Way, schemes: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 the recent paper from Trend Micro and ClearSky ( ' The Spy Kittens Are Back : Rocket Kitten 2 ' ) does extensively cover the campaign 's narrative , we aimed to seek confirmation that our analyzed attack was positively connected to the same campaign and set out to provide additional value and insight .' [/INST] [While:O, the:O, recent:O, paper:O, from:O, Trend:B-SecTeam, Micro:I-SecTeam, and:O, ClearSky:B-SecTeam, (:O, ':O, The:O, Spy:B-HackOrg, Kittens:I-HackOrg, Are:O, Back:O, ::O, Rocket:B-HackOrg, Kitten:I-HackOrg, 2:O, ':O, ):O, does:O, extensively:O, cover:O, the:O, campaign:B-OffAct, 's:O, narrative:O, ,:O, we:O, aimed:O, to:O, seek:O, confirmation:O, that:O, our:O, analyzed:O, attack:B-OffAct, was:O, positively:O, connected:O, to:O, the:O, same:O, campaign:B-OffAct, and:O, set:O, out:O, to:O, provide:O, additional:O, value:O, and:O, insight: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 the Rocket Kitten group 's behavior was well characterized in previous publications ( see the recent report from Trend Micro and ClearSky ) .' [/INST] [As:O, the:O, Rocket:B-HackOrg, Kitten:I-HackOrg, group:I-HackOrg, 's:O, behavior:O, was:O, well:O, characterized:O, in:O, previous:O, publications:O, (:O, see:O, the:O, recent:O, report:O, from:O, Trend:B-SecTeam, Micro:I-SecTeam, and:O, ClearSky:B-SecTeam, ):O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Magic Hound will often find simpler ways for effective compromise , such as creative phishing and simple custom malware .' [/INST] [Magic:O, Hound:O, will:O, often:O, find:O, simpler:O, ways:O, for:O, effective:O, compromise:O, ,:O, such:O, as:O, creative:O, phishing:B-Way, and:O, simple:O, custom:B-Way, malware: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: 'We present the connection between Behzad Mesri , an Iranian national recently indicted for his involvement in hacking HBO , and Charming Kitten .' [/INST] [We:O, present:O, the:O, connection:O, between:O, Behzad:B-HackOrg, Mesri:I-HackOrg, ,:O, an:O, Iranian:B-Area, national:O, recently:O, indicted:O, for:O, his:O, involvement:O, in:O, hacking:O, HBO:O, ,:O, and:O, Charming:B-HackOrg, Kitten: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: 'Sometimes , they aim at establishing a foothold on the target 's computer to gain access into their organization , but , based on our data , this is usually not their main objective , as opposed to other Iranian threat groups , such as Oilrig1 and CopyKittens2 .' [/INST] [Sometimes:O, ,:O, they:O, aim:O, at:O, establishing:O, a:O, foothold:O, on:O, the:O, target:O, 's:O, computer:O, to:O, gain:B-Purp, access:I-Purp, into:O, their:O, organization:O, ,:O, but:O, ,:O, based:O, on:O, our:O, data:O, ,:O, this:O, is:O, usually:O, not:O, their:O, main:O, objective:O, ,:O, as:O, opposed:O, to:O, other:O, Iranian:B-Area, threat:B-HackOrg, groups:I-HackOrg, ,:O, such:O, as:O, Oilrig1:B-HackOrg, and:O, CopyKittens2: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: 'A case of these obscure lines can be found in a blogpost published in coordination and parallel to this report - , Flying Kitten to Rocket Kitten , A Case of Ambiguity and Shared Code , 3 by Collin Anderson and Claudio Guarnieri .' [/INST] [A:O, case:O, of:O, these:O, obscure:O, lines:O, can:O, be:O, found:O, in:O, a:O, blogpost:O, published:O, in:O, coordination:O, and:O, parallel:O, to:O, this:O, report:O, -:O, ,:O, Flying:B-HackOrg, Kitten:I-HackOrg, to:O, Rocket:B-HackOrg, Kitten:I-HackOrg, ,:O, A:O, Case:O, of:O, Ambiguity:O, and:O, Shared:O, Code:O, ,:O, 3:O, by:O, Collin:O, Anderson:O, and:O, Claudio:O, Guarnieri:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye 's publication of , Operation Saffron Rose , report , which described Flying Kitten 's operations against aviation firms , led to the dismantling of Flying Kitten 's infrastructure and the apparent end of its activities .' [/INST] [FireEye:B-SecTeam, 's:O, publication:O, of:O, ,:O, Operation:B-OffAct, Saffron:I-OffAct, Rose:I-OffAct, ,:O, report:O, ,:O, which:O, described:O, Flying:B-HackOrg, Kitten:I-HackOrg, 's:O, operations:O, against:O, aviation:B-Org, firms:I-Org, ,:O, led:O, to:O, the:O, dismantling:O, of:O, Flying:B-HackOrg, Kitten:I-HackOrg, 's:O, infrastructure:O, and:O, the:O, apparent:O, end:O, of:O, its:O, activities:B-OffAct, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To sum up , the HBO hacker - Behzad Mesri is a member of Turk Black Hat along with ArYaIeIrAn , who provides infrastructure for Charming Kitten activity via PersianDNS / Mahanserver together with Mohammad Rasoul Akbari , who is a Facebook friend of Behzad Mesri 's .' [/INST] [To:O, sum:O, up:O, ,:O, the:O, HBO:O, hacker:B-HackOrg, -:O, Behzad:B-HackOrg, Mesri:I-HackOrg, is:O, a:O, member:O, of:O, Turk:B-HackOrg, Black:I-HackOrg, Hat:I-HackOrg, along:O, with:O, ArYaIeIrAn:B-HackOrg, ,:O, who:O, provides:B-Purp, infrastructure:I-Purp, for:O, Charming:B-OffAct, Kitten:I-OffAct, activity:I-OffAct, via:O, PersianDNS:B-Tool, /:O, Mahanserver:B-Tool, together:O, with:O, Mohammad:O, Rasoul:O, Akbari:O, ,:O, who:O, is:O, a:O, Facebook:B-Org, friend:O, of:O, Behzad:B-HackOrg, Mesri:I-HackOrg, 's: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: 'Charming kitten regularly target international media outlets with Persian-language services .' [/INST] [Charming:B-HackOrg, kitten:I-HackOrg, regularly:O, target:O, international:O, media:B-Idus, outlets:O, with:O, Persian-language:O, services:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It was a decoy to make visitor download a , Flash Player , , which was in fact DownPaper malware , analyzed later in this report .' [/INST] [It:O, was:O, a:O, decoy:O, to:O, make:O, visitor:O, download:O, a:O, ,:O, Flash:O, Player:O, ,:O, ,:O, which:O, was:O, in:O, fact:O, DownPaper:B-Tool, malware:I-Tool, ,:O, analyzed:O, later:O, in:O, this:O, report: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 using PlugX and Poison Ivy ( PIVY ) , both known to be used by the group , they also used a new Trojan called , ChChes , by the Japan Computer Emergency Response Team Coordination Center ( JPCERT ) .' [/INST] [In:O, addition:O, to:O, using:O, PlugX:B-Tool, and:O, Poison:B-Tool, Ivy:I-Tool, (:O, PIVY:B-Tool, ):O, ,:O, both:O, known:O, to:O, be:O, used:O, by:O, the:O, group:B-HackOrg, ,:O, they:O, also:O, used:O, a:O, new:O, Trojan:O, called:O, ,:O, ChChes:B-Tool, ,:O, by:O, the:O, Japan:B-SecTeam, Computer:I-SecTeam, Emergency:I-SecTeam, Response:I-SecTeam, Team:I-SecTeam, Coordination:I-SecTeam, Center:I-SecTeam, (:O, JPCERT:B-SecTeam, ):O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Wapack labs also observed a similar sample targeting Japan in November .' [/INST] [Wapack:B-SecTeam, labs:O, also:O, observed:O, a:O, similar:O, sample:O, targeting:O, Japan:B-Area, in:O, November: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: 'MenuPass spoofed several sender email addresses to send spear phishing emails , most notably public addresses associated with the Sasakawa Peace Foundation and The White House .' [/INST] [MenuPass:B-HackOrg, spoofed:O, several:O, sender:O, email:B-Way, addresses:O, to:O, send:O, spear:B-Way, phishing:I-Way, emails:I-Way, ,:O, most:O, notably:O, public:O, addresses:O, associated:O, with:O, the:O, Sasakawa:B-Org, Peace:I-Org, Foundation:I-Org, and:O, The:O, White:B-Org, House: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: 'menuPass typically makes use of a mix of DDNS and actor-registered domains in their attack campaigns .' [/INST] [menuPass:O, typically:O, makes:O, use:O, of:O, a:O, mix:O, of:O, DDNS:B-Tool, and:I-Tool, actor-registered:I-Tool, domains:I-Tool, in:O, their:O, attack:B-OffAct, campaigns: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: 'There is not much public information about the APT campaign called menuPass ( also known as Stone Panda and APT10 ) .' [/INST] [There:O, is:O, not:O, much:O, public:O, information:O, about:O, the:O, APT:B-OffAct, campaign:I-OffAct, called:O, menuPass:B-HackOrg, (:O, also:O, known:O, as:O, Stone:B-HackOrg, Panda:I-HackOrg, and:O, APT10:B-HackOrg, ):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 paper from FireEye in 2013 on several campaigns using PIVY included menuPass as one of them .' [/INST] [A:O, paper:O, from:O, FireEye:B-SecTeam, in:O, 2013:B-Time, on:O, several:O, campaigns:B-OffAct, using:O, PIVY:B-Tool, included:O, menuPass:O, as:O, one:O, of:O, them:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Believed to have started activity in 2009 and to originate from China , the group initially was known for targeting US and overseas defense contractors but broadened their targeting as time passed .' [/INST] [Believed:O, to:O, have:O, started:O, activity:B-OffAct, in:O, 2009:B-Time, and:O, to:O, originate:O, from:O, China:B-Area, ,:O, the:O, group:B-HackOrg, initially:O, was:O, known:O, for:O, targeting:O, US:B-Area, and:O, overseas:O, defense:B-Org, contractors:I-Org, but:O, broadened:O, their:O, targeting:O, as:O, time:O, passed: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: 'menuPass has targeted individuals and organizations in Japan since at least 2014 , and as the same organizations and academics were largely targeted each month in these attacks , it further shows menuPass is persistent in attempts to compromise their targets .' [/INST] [menuPass:O, has:O, targeted:O, individuals:O, and:O, organizations:O, in:O, Japan:B-Area, since:O, at:O, least:O, 2014:B-Time, ,:O, and:O, as:O, the:O, same:O, organizations:O, and:O, academics:O, were:O, largely:O, targeted:O, each:O, month:O, in:O, these:O, attacks:B-OffAct, ,:O, it:O, further:O, shows:O, menuPass:O, is:O, persistent:O, in:O, attempts:O, to:O, compromise:O, their:O, targets:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'menuPass also heavily favors spear phishing , and so takes steps to socially engineer their spear phishes for maximum appearance of legitimacy .' [/INST] [menuPass:O, also:O, heavily:O, favors:O, spear:B-Way, phishing:I-Way, ,:O, and:O, so:O, takes:O, steps:O, to:O, socially:O, engineer:O, their:O, spear:B-Way, phishes:I-Way, for:O, maximum:O, appearance:O, of:O, legitimacy: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: 'menuPass is an ongoing APT campaign with a broad range of targets and will likely continue to target Japan in the future .' [/INST] [menuPass:O, is:O, an:O, ongoing:O, APT:B-OffAct, campaign:I-OffAct, with:O, a:O, broad:O, range:O, of:O, targets:O, and:O, will:O, likely:O, continue:O, to:O, target:O, Japan:B-Area, in:O, the:O, future: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: 'ChopShop1 is a new framework developed by the MITRE Corporation for network-based protocol decoders that enable security professionals to understand actual commands issued by human operators controlling endpoints .' [/INST] [ChopShop1:B-SamFile, is:O, a:O, new:O, framework:O, developed:O, by:O, the:O, MITRE:B-Org, Corporation:I-Org, for:O, network-based:O, protocol:O, decoders:O, that:O, enable:B-Features, security:I-Features, professionals:I-Features, to:O, understand:O, actual:O, commands:O, issued:O, by:O, human:O, operators:O, controlling:O, endpoints: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: 'PyCommands , meanwhile , are Python scripts that automate tasks for Immunity Debugger , a popular tool for reverse-engineering malware binaries .' [/INST] [PyCommands:O, ,:O, meanwhile:O, ,:O, are:O, Python:O, scripts:O, that:O, automate:O, tasks:O, for:O, Immunity:B-Tool, Debugger:I-Tool, ,:O, a:O, popular:O, tool:O, for:O, reverse-engineering:O, malware:O, binaries: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: 'Poison Ivy is a remote access tool that is freely available for download from its official web site at www.poisonivy-rat.com .' [/INST] [Poison:B-Tool, Ivy:I-Tool, is:O, a:O, remote:B-Features, access:I-Features, tool:O, that:O, is:O, freely:O, available:O, for:O, download:O, from:O, its:O, official:O, web:O, site:O, at:O, www.poisonivy-rat.com:O, .:O] </s>