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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: 'A well-funded , highly active group of Middle Eastern hackers was caught , yet again , using a lucrative zero-day exploit in the wild to break into computers and infect them with powerful spyware developed by an infamous cyberweapons dealer named Gamma Group .' [/INST] [A:O, well-funded:O, ,:O, highly:O, active:O, group:B-HackOrg, of:O, Middle:B-Area, Eastern:I-Area, hackers:B-HackOrg, was:O, caught:O, ,:O, yet:O, again:O, ,:O, using:O, a:O, lucrative:O, zero-day:B-Exp, exploit:I-Exp, in:O, the:O, wild:O, to:O, break:O, into:O, computers:O, and:O, infect:O, them:O, with:O, powerful:O, spyware:O, developed:O, by:O, an:O, infamous:O, cyberweapons:O, dealer:O, named:O, Gamma:B-HackOrg, Group:I-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A well-funded , highly active BlackOasis group of Middle Eastern hackers was caught , yet again , using a lucrative zero-day exploit in the wild to break into computers and infect them with powerful spyware developed by an infamous cyberweapons dealer named Gamma Group .' [/INST] [A:O, well-funded:O, ,:O, highly:O, active:O, BlackOasis:B-HackOrg, group:I-HackOrg, of:O, Middle:B-Area, Eastern:I-Area, hackers:B-HackOrg, was:O, caught:O, ,:O, yet:O, again:O, ,:O, using:O, a:O, lucrative:O, zero-day:B-Exp, exploit:I-Exp, in:O, the:O, wild:O, to:O, break:O, into:O, computers:O, and:O, infect:O, them:O, with:O, powerful:O, spyware:O, developed:O, by:O, an:O, infamous:O, cyberweapons:O, dealer:O, named:O, Gamma:B-HackOrg, Group:I-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Middle Eastern hacker group in this case is codenamed , BlackOasis , .' [/INST] [The:O, Middle:B-Area, Eastern:I-Area, hacker:B-HackOrg, group:I-HackOrg, in:O, this:O, case:O, is:O, codenamed:O, ,:O, BlackOasis: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: 'Kaspersky found the BlackOasis group was exploiting a Adobe Flash Player zero-day vulnerability ( CVE-2016-4117 ) to remotely deliver the latest version of , FinSpy , malware , according to a new blog post published Monday .' [/INST] [Kaspersky:B-SecTeam, found:O, the:O, BlackOasis:B-HackOrg, group:I-HackOrg, was:O, exploiting:O, a:O, Adobe:B-Exp, Flash:I-Exp, Player:I-Exp, zero-day:I-Exp, vulnerability:I-Exp, (:O, CVE-2016-4117:B-Exp, ):O, to:O, remotely:O, deliver:O, the:O, latest:O, version:O, of:O, ,:O, FinSpy:B-Tool, ,:O, malware:O, ,:O, according:O, to:O, a:O, new:O, blog:O, post:O, published:O, Monday:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Kaspersky found the group was exploiting a Adobe Flash Player zero-day vulnerability ( CVE-2016-4117 ) to remotely deliver the latest version of , FinSpy , malware , according to a new blog post published Monday .' [/INST] [Kaspersky:B-SecTeam, found:O, the:O, group:B-HackOrg, was:O, exploiting:O, a:O, Adobe:B-Exp, Flash:I-Exp, Player:I-Exp, zero-day:I-Exp, vulnerability:I-Exp, (:O, CVE-2016-4117:B-Exp, ):O, to:O, remotely:O, deliver:O, the:O, latest:O, version:O, of:O, ,:O, FinSpy:B-Tool, ,:O, malware:O, ,:O, according:O, to:O, a:O, new:O, blog:O, post:O, published:O, Monday: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: 'BlackOasis ' interests span a wide gamut of figures involved in Middle Eastern politics .' [/INST] [BlackOasis:B-HackOrg, ':O, interests:O, span:O, a:O, wide:O, gamut:O, of:O, figures:O, involved:O, in:O, Middle:B-Area, Eastern:I-Area, politics: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: 'REDBALDKNIGHT , also known as BRONZE BUTLER and Tick , is a cyberespionage group known to target Japanese organizations such as government agencies ( including defense ) as well as those in biotechnology , electronics manufacturing , and industrial chemistry .' [/INST] [REDBALDKNIGHT:B-HackOrg, ,:O, also:O, known:O, as:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, and:O, Tick:B-HackOrg, ,:O, is:O, a:O, cyberespionage:B-HackOrg, group:I-HackOrg, known:O, to:O, target:O, Japanese:B-Area, organizations:O, such:O, as:O, government:B-Org, agencies:I-Org, (:O, including:O, defense:B-Idus, ):O, as:O, well:O, as:O, those:O, in:O, biotechnology:B-Idus, ,:O, electronics:B-Idus, manufacturing:I-Idus, ,:O, and:O, industrial:B-Idus, chemistry: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: 'REDBALDKNIGHT , also known as BRONZE BUTLER and Tick , is a cyberespionage group known to target Japan such as government agencies as well as those in biotechnology , electronics manufacturing , and industrial chemistry .' [/INST] [REDBALDKNIGHT:B-HackOrg, ,:O, also:O, known:O, as:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, and:O, Tick:B-HackOrg, ,:O, is:O, a:O, cyberespionage:B-HackOrg, group:I-HackOrg, known:O, to:O, target:O, Japan:B-Area, such:O, as:O, government:B-Org, agencies:I-Org, as:O, well:O, as:O, those:O, in:O, biotechnology:B-Idus, ,:O, electronics:B-Idus, manufacturing:I-Idus, ,:O, and:O, industrial:B-Idus, chemistry: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: 'In fact , REDBALDKNIGHT has been targeting Japan as early as 2008 , based on the file properties of the decoy documents they've been sending to their targets .' [/INST] [In:O, fact:O, ,:O, REDBALDKNIGHT:B-HackOrg, has:O, been:O, targeting:O, Japan:B-Area, as:O, early:O, as:O, 2008:B-Time, ,:O, based:O, on:O, the:O, file:O, properties:O, of:O, the:O, decoy:B-SamFile, documents:I-SamFile, they've:O, been:O, sending:O, to: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: 'In fact , REDBALDKNIGHT has been zeroing in on Japanese organizations as early as 2008 — at least based on the file properties of the decoy documents they've been sending to their targets .' [/INST] [In:O, fact:O, ,:O, REDBALDKNIGHT:B-HackOrg, has:O, been:O, zeroing:O, in:O, on:O, Japanese:B-Area, organizations:O, as:O, early:O, as:O, 2008:B-Time, —:O, at:O, least:O, based:O, on:O, the:O, file:O, properties:O, of:O, the:O, decoy:B-SamFile, documents:I-SamFile, they've:O, been:O, sending:O, to: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: 'Secureworks® incident responders and Counter Threat Unit™ ( CTU ) researchers investigated activities associated with the BRONZE BUTLER ( also known as Tick ) threat group , which likely originates in the People .' [/INST] [Secureworks®:B-SecTeam, incident:O, responders:O, and:O, Counter:O, Threat:O, Unit™:O, (:O, CTU:B-SecTeam, ):O, researchers:O, investigated:O, activities:B-OffAct, associated:O, with:O, the:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, (:O, also:O, known:O, as:O, Tick:B-HackOrg, ):O, threat:B-HackOrg, group:I-HackOrg, ,:O, which:O, likely:O, originates:O, in:O, the:O, People:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Targeting data supports the belief that APT39 's key mission is to track or monitor targets of interest , collect personal information , including travel itineraries , and gather customer data from telecommunications firms .' [/INST] [Targeting:O, data:O, supports:O, the:O, belief:O, that:O, APT39:B-HackOrg, 's:O, key:O, mission:O, is:O, to:O, track:B-Purp, or:I-Purp, monitor:I-Purp, targets:I-Purp, of:O, interest:O, ,:O, collect:B-Purp, personal:I-Purp, information:I-Purp, ,:O, including:O, travel:B-Purp, itineraries:I-Purp, ,:O, and:O, gather:B-Purp, customer:I-Purp, data:I-Purp, from:O, telecommunications:B-Org, firms: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: 'BRONZE BUTLER has used a broad range of publicly available ( Mimikatz and gsecdump ) and proprietary ( Daserf and Datper ) tools .' [/INST] [BRONZE:B-HackOrg, BUTLER:I-HackOrg, has:O, used:O, a:O, broad:O, range:O, of:O, publicly:O, available:O, (:O, Mimikatz:B-Tool, and:O, gsecdump:B-Tool, ):O, and:O, proprietary:O, (:O, Daserf:B-Tool, and:O, Datper:B-Tool, ):O, tools:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BRONZE BUTLER are also fluent in Japanese , crafting phishing emails in native Japanese and operating successfully within a Japanese-language environment .' [/INST] [BRONZE:B-HackOrg, BUTLER:I-HackOrg, are:O, also:O, fluent:O, in:O, Japanese:B-Area, ,:O, crafting:O, phishing:B-Way, emails:I-Way, in:O, native:O, Japanese:B-Area, and:O, operating:O, successfully:O, within:O, a:O, Japanese-language:O, environment: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: 'BRONZE BUTLER has demonstrated the ability to identify a significant zero-day vulnerability within a popular Japanese corporate tool and then use scan-and-exploit techniques to indiscriminately compromise Japanese Internet-facing enterprise systems .' [/INST] [BRONZE:B-HackOrg, BUTLER:I-HackOrg, has:O, demonstrated:O, the:O, ability:O, to:O, identify:O, a:O, significant:O, zero-day:B-Exp, vulnerability:I-Exp, within:O, a:O, popular:O, Japanese:B-Area, corporate:O, tool:O, and:O, then:O, use:O, scan-and-exploit:B-Way, techniques:I-Way, to:O, indiscriminately:O, compromise:O, Japanese:B-Area, Internet-facing:O, enterprise:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group has demonstrated the ability to identify a significant zero-day vulnerability within a popular Japanese corporate tool and then use scan-and-exploit techniques to indiscriminately compromise Japanese Internet-facing enterprise systems .' [/INST] [The:O, group:B-HackOrg, has:O, demonstrated:O, the:O, ability:O, to:O, identify:O, a:O, significant:O, zero-day:B-Exp, vulnerability:I-Exp, within:O, a:O, popular:O, Japanese:B-Area, corporate:O, tool:O, and:O, then:O, use:O, scan-and-exploit:B-Way, techniques:I-Way, to:O, indiscriminately:O, compromise:O, Japanese:B-Area, Internet-facing:O, enterprise:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BRONZE BUTLER has used phishing emails with Flash animation attachments to download and execute Daserf malware , and has also leveraged Flash exploits for SWC attacks .' [/INST] [BRONZE:B-HackOrg, BUTLER:I-HackOrg, has:O, used:O, phishing:B-Way, emails:I-Way, with:O, Flash:O, animation:O, attachments:O, to:O, download:O, and:O, execute:O, Daserf:B-Tool, malware:I-Tool, ,:O, and:O, has:O, also:O, leveraged:O, Flash:B-Exp, exploits:I-Exp, for:O, SWC:B-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group has used phishing emails with Flash animation attachments to download and execute Daserf malware , and has also leveraged Flash exploits for SWC attacks .' [/INST] [The:O, group:B-HackOrg, has:O, used:O, phishing:B-Way, emails:I-Way, with:O, Flash:O, animation:O, attachments:O, to:O, download:O, and:O, execute:O, Daserf:B-Tool, malware:I-Tool, ,:O, and:O, has:O, also:O, leveraged:O, Flash:B-Exp, exploits:I-Exp, for:O, SWC: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: 'BRONZE BUTLER uses credential theft tools such as Mimikatz and WCE to steal authentication information from the memory of compromised hosts .' [/INST] [BRONZE:B-HackOrg, BUTLER:I-HackOrg, uses:O, credential:B-Purp, theft:I-Purp, tools:O, such:O, as:O, Mimikatz:B-Tool, and:O, WCE:B-Tool, to:O, steal:B-Purp, authentication:I-Purp, information:I-Purp, from:O, the:O, memory:O, of:O, compromised:O, hosts: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 investigating a 2016 intrusion , Secureworks identified BRONZE BUTLER exploiting a then-unpatched remote code execution vulnerability ( CVE-2016-7836 ) in SKYSEA Client View , a popular Japanese product used to manage an organization .' [/INST] [While:O, investigating:O, a:O, 2016:B-Time, intrusion:O, ,:O, Secureworks:B-SecTeam, identified:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, exploiting:O, a:O, then-unpatched:O, remote:B-Way, code:I-Way, execution:I-Way, vulnerability:O, (:O, CVE-2016-7836:B-Exp, ):O, in:O, SKYSEA:O, Client:O, View:O, ,:O, a:O, popular:O, Japanese:B-Area, product:O, used:O, to:O, manage:O, an:O, organization: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 investigating a 2016 intrusion , Secureworks incident responders identified BRONZE BUTLER exploiting a then-unpatched remote code execution vulnerability ( CVE-2016-7836 ) in SKYSEA Client View , a popular Japanese product used to manage an organization .' [/INST] [While:O, investigating:O, a:O, 2016:B-Time, intrusion:O, ,:O, Secureworks:B-SecTeam, incident:O, responders:O, identified:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, exploiting:O, a:O, then-unpatched:O, remote:B-Way, code:I-Way, execution:I-Way, vulnerability:O, (:O, CVE-2016-7836:B-Exp, ):O, in:O, SKYSEA:O, Client:O, View:O, ,:O, a:O, popular:O, Japanese:B-Area, product:O, used:O, to:O, manage:O, an:O, organization: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: 'Several xxmm samples analyzed by CTU researchers incorporate Mimikatz , allowing BRONZE BUTLER to issue Mimikatz commands directly from xxmm .' [/INST] [Several:O, xxmm:O, samples:O, analyzed:O, by:O, CTU:B-SecTeam, researchers:O, incorporate:O, Mimikatz:B-Tool, ,:O, allowing:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, to:O, issue:O, Mimikatz:B-Tool, commands:O, directly:O, from:O, xxmm: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: 'BRONZE BUTLER compromises organizations to conduct cyberespionage , primarily focusing on Japan .' [/INST] [BRONZE:B-HackOrg, BUTLER:I-HackOrg, compromises:O, organizations:O, to:O, conduct:O, cyberespionage:B-HackOrg, ,:O, primarily:O, focusing:O, on:O, Japan: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: 'Symantec discovered the most recent wave of Tick attacks in July 2015 , when the group compromised three different Japanese websites with a Flash ( .swf ) exploit to mount watering hole attacks .' [/INST] [Symantec:B-SecTeam, discovered:O, the:O, most:O, recent:O, wave:O, of:O, Tick:B-OffAct, attacks:I-OffAct, in:O, July:B-Time, 2015:I-Time, ,:O, when:O, the:O, group:B-HackOrg, compromised:O, three:O, different:O, Japanese:B-Area, websites:O, with:O, a:O, Flash:B-Way, (:I-Way, .swf:I-Way, ):I-Way, exploit:I-Way, to:O, mount:O, watering:B-OffAct, hole:I-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: 'Carbanak is a remote backdoor ( initially based on Carberp ) , designed for espionage , data exfiltration and to provide remote access to infected machines .' [/INST] [Carbanak:B-Exp, is:O, a:O, remote:O, backdoor:O, (:O, initially:O, based:O, on:O, Carberp:B-Tool, ):O, ,:O, designed:O, for:O, espionage:B-HackOrg, ,:O, data:B-Purp, exfiltration:I-Purp, and:O, to:O, provide:B-Purp, remote:I-Purp, access:I-Purp, to:O, infected:O, machines:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Symantec discovered the most recent wave of Tick attacks in July 2015 , when BRONZE BUTLER compromised three different Japanese websites with a Flash ( .swf ) exploit to mount watering hole attacks .' [/INST] [Symantec:B-SecTeam, discovered:O, the:O, most:O, recent:O, wave:O, of:O, Tick:B-OffAct, attacks:I-OffAct, in:O, July:B-Time, 2015:I-Time, ,:O, when:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, compromised:O, three:O, different:O, Japanese:B-Area, websites:O, with:O, a:O, Flash:B-Way, (:I-Way, .swf:I-Way, ):I-Way, exploit:I-Way, to:O, mount:O, watering:B-OffAct, hole:I-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: 'In some cases , the attackers used the Society for Worldwide Interbank Financial Telecommunication ( SWIFT ) network to transfer money to their accounts .' [/INST] [In:O, some:O, cases:O, ,:O, the:O, attackers:B-HackOrg, used:O, the:O, Society:O, for:O, Worldwide:B-Tool, Interbank:I-Tool, Financial:I-Tool, Telecommunication:I-Tool, (:O, SWIFT:B-Tool, ):O, network:O, to:O, transfer:B-Purp, money:I-Purp, to:I-Purp, their:I-Purp, accounts: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: 'Carbanak is a backdoor used by the attackers to compromise the victim .' [/INST] [Carbanak:B-SamFile, is:O, a:O, backdoor:B-Tool, used:O, by:O, the:O, attackers:B-HackOrg, to:O, compromise:O, the:O, victim:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If found on the target system , Carbanak will try to exploit a known vulnerability in Windows XP , Windows Server 2003 , Windows Vista , Windows Server 2008 , Windows 7 , Windows 8 , and Windows Server 2012 , CVE-2013-3660 , for local privilege escalation .' [/INST] [If:O, found:O, on:O, the:O, target:O, system:O, ,:O, Carbanak:B-Exp, will:O, try:O, to:O, exploit:O, a:O, known:O, vulnerability:O, in:O, Windows:O, XP:O, ,:O, Windows:O, Server:O, 2003:O, ,:O, Windows:O, Vista:O, ,:O, Windows:O, Server:O, 2008:O, ,:O, Windows:O, 7:O, ,:O, Windows:O, 8:O, ,:O, and:O, Windows:O, Server:O, 2012:O, ,:O, CVE-2013-3660:B-Exp, ,:O, for:O, local:B-Purp, privilege:I-Purp, escalation: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: 'To enable connections to the infected computer using the Remote Desktop Protocol ( RDP ) , Carbanak sets Termservice service execution mode to Auto .' [/INST] [To:O, enable:O, connections:B-Purp, to:I-Purp, the:I-Purp, infected:I-Purp, computer:I-Purp, using:O, the:O, Remote:B-Tool, Desktop:I-Tool, Protocol:I-Tool, (:O, RDP:B-Tool, ):O, ,:O, Carbanak:B-Exp, sets:O, Termservice:O, service:O, execution:O, mode:O, to:O, Auto: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: 'Carbanak is also aware of the IFOBS banking application and can , on command , substitute the details of payment documents in the IFOBS system .' [/INST] [Carbanak:B-Exp, is:O, also:O, aware:O, of:O, the:O, IFOBS:O, banking:O, application:O, and:O, can:O, ,:O, on:O, command:O, ,:O, substitute:O, the:O, details:O, of:O, payment:O, documents:O, in:O, the:O, IFOBS:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sensitive bank documents have be found on the servers that were controlling Carbanak .' [/INST] [Sensitive:O, bank:O, documents:O, have:O, be:O, found:O, on:O, the:O, servers:O, that:O, were:O, controlling:O, Carbanak: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: 'Existing telemetry indicates that the Carbanak attackers are trying to expand operations to other Baltic and Central Europe countries , the Middle East , Asia and Africa .' [/INST] [Existing:O, telemetry:O, indicates:O, that:O, the:O, Carbanak:B-Exp, attackers:B-HackOrg, are:O, trying:O, to:O, expand:O, operations:O, to:O, other:O, Baltic:B-Area, and:O, Central:B-Area, Europe:I-Area, countries:O, ,:O, the:O, Middle:B-Area, East:I-Area, ,:O, Asia:B-Area, and:O, Africa: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: 'FIN7 is a financially-motivated threat group that has been associated with malicious operations dating back to late 2015 .' [/INST] [FIN7:B-HackOrg, is:O, a:O, financially-motivated:O, threat:B-HackOrg, group:I-HackOrg, that:O, has:O, been:O, associated:O, with:O, malicious:O, operations:O, dating:O, back:O, to:O, late: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: 'As with previous campaigns , and as highlighted in our annual M-Trends 2017 report , FIN7 is calling stores at targeted organizations to ensure they received the email and attempting to walk them through the infection process .' [/INST] [As:O, with:O, previous:O, campaigns:B-OffAct, ,:O, and:O, as:O, highlighted:O, in:O, our:O, annual:O, M-Trends:B-SecTeam, 2017:B-Time, report:O, ,:O, FIN7:B-HackOrg, is:O, calling:O, stores:O, at:O, targeted:O, organizations:O, to:O, ensure:O, they:O, received:O, the:O, email:B-Way, and:O, attempting:O, to:O, walk:O, them:O, through:O, the:O, infection:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We believe that the Carbanak campaign is a clear indicator of a new era in cybercrime in which criminals use APT techniques directly against the financial industry instead of through its customers .' [/INST] [We:O, believe:O, that:O, the:O, Carbanak:B-Exp, campaign:B-OffAct, is:O, a:O, clear:O, indicator:O, of:O, a:O, new:O, era:O, in:O, cybercrime:O, in:O, which:O, criminals:B-HackOrg, use:O, APT:B-Way, techniques:I-Way, directly:O, against:O, the:O, financial:B-Idus, industry:I-Idus, instead:O, of:O, through:O, its:O, customers: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: 'While FIN7 has embedded VBE as OLE objects for over a year , they continue to update their script launching mechanisms .' [/INST] [While:O, FIN7:B-HackOrg, has:O, embedded:O, VBE:B-Tool, as:O, OLE:O, objects:O, for:O, over:O, a:O, year:O, ,:O, they:O, continue:O, to:O, update:O, their:O, script:O, launching:O, mechanisms:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This report describes the details and type of operations carried out by Carbanak that focuses on financial industry , such as payment providers , retail industry and PR companies .' [/INST] [This:O, report:O, describes:O, the:O, details:O, and:O, type:O, of:O, operations:O, carried:O, out:O, by:O, Carbanak:B-Exp, that:O, focuses:O, on:O, financial:B-Idus, industry:I-Idus, ,:O, such:O, as:O, payment:B-Org, providers:I-Org, ,:O, retail:B-Idus, industry:I-Idus, and:O, PR:B-Org, companies:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Carbanak has its origin in more common financial fraud including theft from consumer and corporate bank accounts in Europe and Russia , using standard banking malware , mainly Carberp .' [/INST] [Carbanak:B-Exp, has:O, its:O, origin:O, in:O, more:O, common:O, financial:O, fraud:O, including:O, theft:O, from:O, consumer:B-Org, and:O, corporate:O, bank:O, accounts:O, in:O, Europe:B-Area, and:O, Russia:B-Area, ,:O, using:O, standard:O, banking:O, malware:O, ,:O, mainly:O, Carberp: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 group has its origin in more common financial fraud including theft from consumer and corporate bank accounts in Europe and Russia , using standard banking malware , mainly Carberp .' [/INST] [The:O, group:B-HackOrg, has:O, its:O, origin:O, in:O, more:O, common:O, financial:O, fraud:O, including:O, theft:O, from:O, consumer:B-Org, and:O, corporate:O, bank:O, accounts:O, in:O, Europe:B-Area, and:O, Russia:B-Area, ,:O, using:O, standard:O, banking:O, malware:O, ,:O, mainly:O, Carberp: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: 'From 2013 Carbanak intensified its activity focused on banks and electronic payment systems in Russia and in the post-Soviet space .' [/INST] [From:O, 2013:B-Time, Carbanak:B-Exp, intensified:O, its:O, activity:B-OffAct, focused:O, on:O, banks:B-Idus, and:O, electronic:B-Idus, payment:I-Idus, systems:O, in:O, Russia:B-Area, and:O, in:O, the:O, post-Soviet:B-Area, space: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: 'Since 2013 Carbanak has successfully gained access to networks of more than 50 banks and 5 payment systems .' [/INST] [Since:O, 2013:B-Time, Carbanak:B-Exp, has:O, successfully:O, gained:O, access:O, to:O, networks:O, of:O, more:O, than:O, 50:O, banks:B-Idus, and:O, 5:O, payment:B-Idus, systems: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 first successful bank robbery was committed by this group in January 2013 .' [/INST] [The:O, first:O, successful:O, bank:B-OffAct, robbery:I-OffAct, was:O, committed:O, by:O, this:O, group:B-HackOrg, in:O, January:B-Time, 2013:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To reduce the risk of losing access to the internal bank network , the Carbanak , in addition to malicious programs , also used for remote access legitimate programs such as Ammy Admin and Team Viewer .' [/INST] [To:O, reduce:O, the:O, risk:O, of:O, losing:O, access:O, to:O, the:O, internal:O, bank:O, network:O, ,:O, the:O, Carbanak:B-Exp, ,:O, in:O, addition:O, to:O, malicious:O, programs:O, ,:O, also:O, used:O, for:O, remote:O, access:O, legitimate:O, programs:O, such:O, as:O, Ammy:B-Tool, Admin:I-Tool, and:O, Team:B-Tool, Viewer:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We have no evidence of compromises against banks in Western Europe or United States , but it should be noted that the attackers methods could be utilized against banks outside of Russia as well .' [/INST] [We:O, have:O, no:O, evidence:O, of:O, compromises:O, against:O, banks:B-Idus, in:O, Western:B-Area, Europe:I-Area, or:O, United:B-Area, States:I-Area, ,:O, but:O, it:O, should:O, be:O, noted:O, that:O, the:O, attackers:B-HackOrg, methods:O, could:O, be:O, utilized:O, against:O, banks:B-Idus, outside:O, of:O, Russia:B-Area, as:O, well: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: 'Additionally the reports on Carbanak show a different picture , where banks targeted outside of Russia , specifically Europe , USA and Japan are mentioned , which does not match our research .' [/INST] [Additionally:O, the:O, reports:O, on:O, Carbanak:B-Exp, show:O, a:O, different:O, picture:O, ,:O, where:O, banks:B-Idus, targeted:O, outside:O, of:O, Russia:B-Area, ,:O, specifically:O, Europe:B-Area, ,:O, USA:B-Area, and:O, Japan:B-Area, are:O, mentioned:O, ,:O, which:O, does:O, not:O, match:O, our:O, research: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: 'Without any insight into the evidence Kaspersky has obtained , we can only repeat our view that Anunak has targeted only banks in Russia and we have no concrete reports of compromised banks outside of Russia directly related to this criminal group .' [/INST] [Without:O, any:O, insight:O, into:O, the:O, evidence:O, Kaspersky:B-SecTeam, has:O, obtained:O, ,:O, we:O, can:O, only:O, repeat:O, our:O, view:O, that:O, Anunak:B-HackOrg, has:O, targeted:O, only:O, banks:B-Idus, in:O, Russia:B-Area, and:O, we:O, have:O, no:O, concrete:O, reports:O, of:O, compromised:O, banks:B-Idus, outside:O, of:O, Russia:B-Area, directly:O, related:O, to:O, this:O, criminal:B-HackOrg, group:I-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Charming Kitten is an Iranian cyberespionage group operating since approximately 2014 .' [/INST] [Charming:B-HackOrg, Kitten:I-HackOrg, is:O, an:O, Iranian:B-Area, cyberespionage:B-HackOrg, group:I-HackOrg, operating:O, since:O, approximately: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: 'These attacks have included criminal groups responsible for the delivery of NewPosThings , MalumPOS and PoSeidon point of sale Malware , as well as Carbanak from the Russian criminal organization we track as Carbon Spider .' [/INST] [These:O, attacks:B-OffAct, have:O, included:O, criminal:B-HackOrg, groups:I-HackOrg, responsible:O, for:O, the:O, delivery:O, of:O, NewPosThings:O, ,:O, MalumPOS:O, and:O, PoSeidon:B-HackOrg, point:O, of:O, sale:O, Malware:O, ,:O, as:O, well:O, as:O, Carbanak:B-Exp, from:O, the:O, Russian:B-Area, criminal:B-HackOrg, organization:I-HackOrg, we:O, track:O, as:O, Carbon:B-HackOrg, Spider: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: 'The Charming Kitten' focus appears to be individuals of interest to Iran in the fields of academic research .' [/INST] [The:O, Charming:B-HackOrg, Kitten':I-HackOrg, focus:O, appears:O, to:O, be:O, individuals:O, of:O, interest:O, to:O, Iran:B-Area, in:O, the:O, fields:O, of:O, academic:B-Idus, research: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: '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 OilRig and CopyKittens .' [/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, OilRig:B-HackOrg, and:O, CopyKittens: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: 'Flying Kitten ( which is another name given by the security industry to Charming Kitten ) was one of the first groups to be described as a coherent threat actor conducting operations against political opponents of the IRI ( Islamic Republic of Iran ) government and foreign espionage targets .' [/INST] [Flying:B-HackOrg, Kitten:I-HackOrg, (:O, which:O, is:O, another:O, name:O, given:O, by:O, the:O, security:B-Idus, industry:I-Idus, to:O, Charming:B-HackOrg, Kitten:I-HackOrg, ):O, was:O, one:O, of:O, the:O, first:O, groups:B-HackOrg, to:O, be:O, described:O, as:O, a:O, coherent:O, threat:B-HackOrg, actor:I-HackOrg, conducting:O, operations:O, against:O, political:O, opponents:O, of:O, the:O, IRI:O, (:O, Islamic:B-Area, Republic:I-Area, of:I-Area, Iran:I-Area, ):O, government:O, and:O, foreign:O, espionage:B-HackOrg, 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: 'Flying Kitten was one of the first groups to be described as a coherent threat actor conducting operations against political opponents of government and foreign espionage targets .' [/INST] [Flying:B-HackOrg, Kitten:I-HackOrg, was:O, one:O, of:O, the:O, first:O, groups:B-HackOrg, to:O, be:O, described:O, as:O, a:O, coherent:O, threat:B-HackOrg, actor:I-HackOrg, conducting:O, operations:O, against:O, political:O, opponents:O, of:O, government:B-Idus, and:O, foreign:O, espionage:B-HackOrg, 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: 'At certain times , Mesri has been a member of an Iran-based hacking group called the Turk Black Hat security team , .' [/INST] [At:O, certain:O, times:O, ,:O, Mesri:O, has:O, been:O, a:O, member:O, of:O, an:O, Iran-based:B-Area, hacking:B-HackOrg, group:I-HackOrg, called:O, the:O, Turk:B-HackOrg, Black:I-HackOrg, Hat:I-HackOrg, security:O, team: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: 'During intense intelligence gathering over the last 24 months , we observed the technical capabilities of the Operation Cleaver team rapidly evolve faster than any previously observed Iranian effort .' [/INST] [During:O, intense:O, intelligence:B-Purp, gathering:I-Purp, over:O, the:O, last:O, 24:O, months:O, ,:O, we:O, observed:O, the:O, technical:O, capabilities:O, of:O, the:O, Operation:B-HackOrg, Cleaver:I-HackOrg, team:O, rapidly:O, evolve:O, faster:O, than:O, any:O, previously:O, observed:O, Iranian:B-Area, effort: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: 'TinyZBot is a bot written in C# and developed by the Cleaver team .' [/INST] [TinyZBot:B-Tool, is:O, a:O, bot:O, written:O, in:O, C#:O, and:O, developed:O, by:O, the:O, Cleaver:B-HackOrg, team:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Some of the teams publicly known today include Iranian Cyber Army , Ashiyane , Islamic Cyber Resistance Group , Izz ad-Din al-Qassam Cyber Fighters , Parastoo , Shabgard , Iran Black Hats and many others 9 .' [/INST] [Some:O, of:O, the:O, teams:O, publicly:O, known:O, today:O, include:O, Iranian:B-Area, Cyber:B-HackOrg, Army:I-HackOrg, ,:O, Ashiyane:B-HackOrg, ,:O, Islamic:O, Cyber:B-HackOrg, Resistance:I-HackOrg, Group:I-HackOrg, ,:O, Izz:B-HackOrg, ad-Din:I-HackOrg, al-Qassam:I-HackOrg, Cyber:I-HackOrg, Fighters:I-HackOrg, ,:O, Parastoo:B-HackOrg, ,:O, Shabgard:B-HackOrg, ,:O, Iran:B-HackOrg, Black:I-HackOrg, Hats:I-HackOrg, and:O, many:O, others:O, 9:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , even though the TTPs of the Cleaver team have some overlap to techniques used by Iranian Cyber Army ( botnets ) , Ashiyane ( SQL injection ) and Syrian Electronic Army ( phishing ) , we believe this is largely the work of a new team .' [/INST] [However:O, ,:O, even:O, though:O, the:O, TTPs:O, of:O, the:O, Cleaver:B-HackOrg, team:O, have:O, some:O, overlap:O, to:O, techniques:O, used:O, by:O, Iranian:B-Area, Cyber:B-HackOrg, Army:I-HackOrg, (:O, botnets:O, ):O, ,:O, Ashiyane:B-HackOrg, (:O, SQL:B-Way, injection:I-Way, ):O, and:O, Syrian:B-Idus, Electronic:I-Idus, Army:I-Idus, (:O, phishing:B-Way, ):O, ,:O, we:O, believe:O, this:O, is:O, largely:O, the:O, work:O, of:O, a:O, new:O, team:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Cobalt group 's traditional , stomping grounds , are the Eastern Europe , Central Asia , and Southeast Asia .' [/INST] [The:O, Cobalt:B-HackOrg, group:I-HackOrg, 's:O, traditional:O, ,:O, stomping:O, grounds:O, ,:O, are:O, the:O, Eastern:B-Area, Europe:I-Area, ,:O, Central:B-Area, Asia:I-Area, ,:O, and:O, Southeast:B-Area, Asia:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Against targets in the CIS countries , the Cobalt also used their own infrastructure , which included rented dedicated servers .' [/INST] [Against:O, targets:O, in:O, the:O, CIS:B-Area, countries:O, ,:O, the:O, Cobalt:B-HackOrg, also:O, used:O, their:O, own:O, infrastructure:O, ,:O, which:O, included:O, rented:O, dedicated:O, servers: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 several cases , the Cobalt compromised company infrastructure and employee accounts in order to send phishing messages to partner companies in North and South America , Europe , CIS countries , and Central and Southeast Asia .' [/INST] [In:O, several:O, cases:O, ,:O, the:O, Cobalt:B-HackOrg, compromised:O, company:O, infrastructure:O, and:O, employee:O, accounts:O, in:O, order:O, to:O, send:O, phishing:B-Way, messages:I-Way, to:O, partner:O, companies:O, in:O, North:B-Area, and:O, South:B-Area, America:I-Area, ,:O, Europe:B-Area, ,:O, CIS:B-Area, countries:O, ,:O, and:O, Central:B-Area, and:O, Southeast:B-Area, Asia:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To ensure remote access to the workstation of an employee at a target organization , the Cobalt group ( as in previous years ) uses Beacon , a Trojan available as part of commercial penetration testing software .' [/INST] [To:O, ensure:O, remote:B-Way, access:I-Way, to:O, the:O, workstation:O, of:O, an:O, employee:O, at:O, a:O, target:O, organization:O, ,:O, the:O, Cobalt:B-HackOrg, group:I-HackOrg, (:O, as:O, in:O, previous:O, years:O, ):O, uses:O, Beacon:B-Tool, ,:O, a:O, Trojan:O, available:O, as:O, part:O, of:O, commercial:O, penetration:O, testing:O, software: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: 'Artifacts indicated the involvement of the Cobalt that , according to Positive Technologies information , from August to October had performed similar successful attacks in Eastern Europe , and it 's likely that this group may will soon become active in the West .' [/INST] [Artifacts:O, indicated:O, the:O, involvement:O, of:O, the:O, Cobalt:B-HackOrg, that:O, ,:O, according:O, to:O, Positive:O, Technologies:B-SecTeam, information:I-SecTeam, ,:O, from:O, August:B-Time, to:O, October:B-Time, had:O, performed:O, similar:O, successful:O, attacks:B-OffAct, in:O, Eastern:B-Area, Europe:I-Area, ,:O, and:O, it:O, 's:O, likely:O, that:O, this:O, group:B-HackOrg, may:O, will:O, soon:O, become:O, active:O, in:O, the:O, West: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 spear-phishing campaign , the Cobalt Hacking Group used a remote code execution vulnerability in Microsoft Office software to connect to its command and control server via Cobalt Strike .' [/INST] [In:O, a:O, recent:O, spear-phishing:B-OffAct, campaign:I-OffAct, ,:O, the:O, Cobalt:B-HackOrg, Hacking:I-HackOrg, Group:I-HackOrg, used:O, a:O, remote:B-Way, code:I-Way, execution:I-Way, vulnerability:O, in:O, Microsoft:O, Office:O, software:O, to:O, connect:O, to:O, its:O, command:O, and:O, control:O, server:O, via:O, Cobalt:B-Tool, Strike:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The basic principles of targeted attacks on financial institutions have not changed since 2013 when the Anunak , Corkow , Buhtrap , and Lurk groups began conducting the first attacks on Russian banks .' [/INST] [The:O, basic:O, principles:O, of:O, targeted:B-OffAct, attacks:I-OffAct, on:O, financial:B-Org, institutions:I-Org, have:O, not:O, changed:O, since:O, 2013:B-Time, when:O, the:O, Anunak:B-HackOrg, ,:O, Corkow:B-HackOrg, ,:O, Buhtrap:B-HackOrg, ,:O, and:O, Lurk:B-HackOrg, groups:I-HackOrg, began:O, conducting:O, the:O, first:O, attacks:B-OffAct, on:O, Russian:B-Area, banks: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: 'In a recent spear-phishing campaign , the Cobalt Group used a known CVE to connect to its C&C server via Cobalt Strike , but ended up revealing all targets .' [/INST] [In:O, a:O, recent:O, spear-phishing:B-OffAct, campaign:I-OffAct, ,:O, the:O, Cobalt:B-HackOrg, Group:I-HackOrg, used:O, a:O, known:O, CVE:O, to:O, connect:O, to:O, its:O, C&C:O, server:O, via:O, Cobalt:B-Tool, Strike:I-Tool, ,:O, but:O, ended:O, up:O, revealing:O, all: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: 'This isn't the first time we've seen Cobalt makes this error—back in March , an attack focussing on 1,880 targets across financial institutions in Kazakhstan had the same flaw .' [/INST] [This:O, isn't:O, the:O, first:O, time:O, we've:O, seen:O, Cobalt:B-HackOrg, makes:O, this:O, error—back:O, in:O, March:B-Time, ,:O, an:O, attack:B-OffAct, focussing:O, on:O, 1,880:O, targets:O, across:O, financial:B-Org, institutions:I-Org, in:O, Kazakhstan:B-Area, had:O, the:O, same:O, flaw: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 Carbanak attacks targeting over a 100 financial institutions worldwide .' [/INST] [The:O, Carbanak:B-OffAct, attacks:I-OffAct, targeting:O, over:O, a:O, 100:O, financial:B-Org, institutions:I-Org, worldwide: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 leader of the crime gang behind the Carbanak and Cobalt malware attacks targeting over a 100 financial institutions worldwide has been arrested in Alicante , Spain , after a complex investigation conducted by the Spanish National Police .' [/INST] [The:O, leader:O, of:O, the:O, crime:B-HackOrg, gang:I-HackOrg, behind:O, the:O, Carbanak:B-Exp, and:O, Cobalt:B-OffAct, malware:I-OffAct, attacks:I-OffAct, targeting:O, over:O, a:O, 100:O, financial:B-Org, institutions:I-Org, worldwide:O, has:O, been:O, arrested:O, in:O, Alicante:O, ,:O, Spain:B-Area, ,:O, after:O, a:O, complex:O, investigation:O, conducted:O, by:O, the:O, Spanish:O, National:O, Police: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 2013 , the Cobalt have attempted to attack banks and financial institutions using pieces of malware they designed .' [/INST] [Since:O, 2013:B-Time, ,:O, the:O, Cobalt:B-HackOrg, have:O, attempted:O, to:O, attack:O, banks:B-Idus, and:O, financial:B-Org, institutions:I-Org, using:O, pieces:O, of:O, malware:O, they:O, designed: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 2013 , the cybercrime gang have attempted to attack banks , e-payment systems and financial institutions using pieces of malware they designed , known as Carbanak and Cobalt .' [/INST] [Since:O, 2013:B-Time, ,:O, the:O, cybercrime:B-HackOrg, gang:I-HackOrg, have:O, attempted:O, to:O, attack:O, banks:B-Idus, ,:O, e-payment:B-Idus, systems:O, and:O, financial:B-Org, institutions:I-Org, using:O, pieces:O, of:O, malware:O, they:O, designed:O, ,:O, known:O, as:O, Carbanak:B-Exp, and:O, Cobalt: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 organised crime group started its high-tech criminal activities in late 2013 by launching the Anunak malware campaign that targeted financial transfers and ATM networks of financial institutions around the world .' [/INST] [The:O, organised:O, crime:B-HackOrg, group:I-HackOrg, started:O, its:O, high-tech:O, criminal:B-OffAct, activities:I-OffAct, in:O, late:B-Time, 2013:I-Time, by:O, launching:O, the:O, Anunak:B-OffAct, malware:I-OffAct, campaign:I-OffAct, that:O, targeted:O, financial:O, transfers:O, and:O, ATM:O, networks:O, of:O, financial:B-Org, institutions:I-Org, around:O, the:O, world:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One of the Cobalt Group 's latest campaigns , an attack that leads to a Cobalt Strike beacon and to JavaScript backdoor , was investigated and presented by the Talos research team .' [/INST] [One:O, of:O, the:O, Cobalt:B-HackOrg, Group:I-HackOrg, 's:O, latest:O, campaigns:B-OffAct, ,:O, an:O, attack:B-OffAct, that:O, leads:O, to:O, a:O, Cobalt:B-Tool, Strike:B-Tool, beacon:I-Tool, and:O, to:O, JavaScript:B-Tool, backdoor:I-Tool, ,:O, was:O, investigated:O, and:O, presented:O, by:O, the:O, Talos:B-SecTeam, research:O, team:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Cobalt started its high-tech criminal activities in late 2013 by launching the Anunak malware campaign that targeted financial transfers and ATM networks of financial institutions around the world .' [/INST] [The:O, Cobalt:B-HackOrg, started:O, its:O, high-tech:O, criminal:B-OffAct, activities:I-OffAct, in:O, late:B-Time, 2013:I-Time, by:O, launching:O, the:O, Anunak:B-OffAct, malware:I-OffAct, campaign:I-OffAct, that:O, targeted:O, financial:O, transfers:O, and:O, ATM:O, networks:O, of:O, financial:B-Org, institutions:I-Org, around:O, the:O, world:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Cobalt group misused Cobalt Strike , for instance , to perpetrate ATM cyber heists and target financial institutions across Europe , and interestingly , Russia .' [/INST] [The:O, Cobalt:B-HackOrg, group:I-HackOrg, misused:O, Cobalt:B-Tool, Strike:I-Tool, ,:O, for:O, instance:O, ,:O, to:O, perpetrate:O, ATM:O, cyber:B-HackOrg, heists:I-HackOrg, and:O, target:O, financial:B-Org, institutions:I-Org, across:O, Europe:B-Area, ,:O, and:O, interestingly:O, ,:O, Russia:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The hacking group misused Cobalt Strike , for instance , to perpetrate ATM cyber heists and target financial institutions across Europe , and interestingly , Russia .' [/INST] [The:O, hacking:B-HackOrg, group:I-HackOrg, misused:O, Cobalt:B-Tool, Strike:I-Tool, ,:O, for:O, instance:O, ,:O, to:O, perpetrate:O, ATM:O, cyber:B-HackOrg, heists:I-HackOrg, and:O, target:O, financial:B-Org, institutions:I-Org, across:O, Europe:B-Area, ,:O, and:O, interestingly:O, ,:O, Russia:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If successful , Cobalt goes on to attack financial institutions outside the country .' [/INST] [If:O, successful:O, ,:O, Cobalt:B-HackOrg, goes:O, on:O, to:O, attack:O, financial:B-Org, institutions:I-Org, outside: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: 'The vulnerability was used to retrieve and execute Cobalt Strike from a remote server they controlled .' [/INST] [The:O, vulnerability:O, was:O, used:O, to:O, retrieve:O, and:O, execute:O, Cobalt:B-Tool, Strike:I-Tool, from:O, a:O, remote:O, server:O, they:O, controlled: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 part of our monitoring of Iranian threat agents activities , we have detected that since October 2016 and until the end of January 2017 , the Jerusalem Post , as well as multiple other Israeli websites and one website in the Palestinian Authority were compromised by Iranian threat agent CopyKittens .' [/INST] [As:O, part:O, of:O, our:O, monitoring:O, of:O, Iranian:B-OffAct, threat:I-OffAct, agents:I-OffAct, activities:I-OffAct, ,:O, we:O, have:O, detected:O, that:O, since:O, October:B-Time, 2016:I-Time, and:O, until:O, the:O, end:B-Time, of:I-Time, January:I-Time, 2017:I-Time, ,:O, the:O, Jerusalem:B-Org, Post:I-Org, ,:O, as:O, well:O, as:O, multiple:O, other:O, Israeli:B-Area, websites:O, and:O, one:O, website:O, in:O, the:O, Palestinian:B-Org, Authority:I-Org, were:O, compromised:O, by:O, Iranian:B-Area, threat:O, agent:O, CopyKittens: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: 'CopyKittens use several self-developed malware and hacking tools that have not been publicly reported to date , and are analyzed in this report : TDTESS backdoor ; Vminst , a lateral movement tool ; NetSrv , a Cobalt Strike loader ; and ZPP , a files compression console program .' [/INST] [CopyKittens:B-HackOrg, use:O, several:O, self-developed:O, malware:O, and:O, hacking:O, tools:O, that:O, have:O, not:O, been:O, publicly:O, reported:O, to:O, date:O, ,:O, and:O, are:O, analyzed:O, in:O, this:O, report:O, ::O, TDTESS:B-Tool, backdoor:I-Tool, ;:O, Vminst:B-Tool, ,:O, a:O, lateral:O, movement:O, tool:O, ;:O, NetSrv:B-Tool, ,:O, a:O, Cobalt:B-Tool, Strike:I-Tool, loader:I-Tool, ;:O, and:O, ZPP:B-Tool, ,:O, a:O, files:O, compression:O, console:O, program: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: 'CopyKittens often uses the trial version of Cobalt Strike , a publicly available commercial software for , Adversary Simulations and Red Team Operations , .' [/INST] [CopyKittens:B-HackOrg, often:O, uses:O, the:O, trial:O, version:O, of:O, Cobalt:B-Tool, Strike:I-Tool, ,:O, a:O, publicly:O, available:O, commercial:O, software:O, for:O, ,:O, Adversary:O, Simulations:O, and:O, Red:O, Team:O, Operations: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: 'Other public tools used by the CopyKittens are Metasploit , a well-known free and open source framework for developing and executing exploit code against a remote target machine ; Mimikatz , a post-exploitation tool that performs credential dumping ; and Empire , a PowerShell and Python post-exploitation agent .' [/INST] [Other:O, public:O, tools:O, used:O, by:O, the:O, CopyKittens:B-HackOrg, are:O, Metasploit:B-Tool, ,:O, a:O, well-known:O, free:O, and:O, open:O, source:O, framework:O, for:O, developing:O, and:O, executing:O, exploit:O, code:O, against:O, a:O, remote:O, target:O, machine:O, ;:O, Mimikatz:B-Tool, ,:O, a:O, post-exploitation:O, tool:O, that:O, performs:O, credential:O, dumping:O, ;:O, and:O, Empire:B-Tool, ,:O, a:O, PowerShell:B-Tool, and:O, Python:O, post-exploitation:O, agent:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group , which we have given the name Gallmaker , has been operating since at least December 2017 , with its most recent activity observed in June 2018 .' [/INST] [The:O, group:B-HackOrg, ,:O, which:O, we:O, have:O, given:O, the:O, name:O, Gallmaker:B-HackOrg, ,:O, has:O, been:O, operating:O, since:O, at:O, least:O, December:B-Time, 2017:I-Time, ,:O, with:O, its:O, most:O, recent:O, activity:B-OffAct, observed:O, in:O, June:B-Time, 2018:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Rather , the Gallmaker 's attack activity we observed is carried out exclusively using LotL tactics and publicly available hack tools .' [/INST] [Rather:O, ,:O, the:O, Gallmaker:B-HackOrg, 's:O, attack:B-OffAct, activity:I-OffAct, we:O, observed:O, is:O, carried:O, out:O, exclusively:O, using:O, LotL:B-Tool, tactics:O, and:O, publicly:B-Tool, available:I-Tool, hack: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: 'Gallmaker used lure documents attempt to exploit the Microsoft Office Dynamic Data Exchange ( DDE ) protocol in order to gain access to victim machines .' [/INST] [Gallmaker:B-HackOrg, used:O, lure:B-Way, documents:I-Way, attempt:O, to:O, exploit:O, the:O, Microsoft:O, Office:O, Dynamic:O, Data:O, Exchange:O, (:O, DDE:O, ):O, protocol:O, in:O, order:O, to:O, gain:B-Purp, access:I-Purp, to:O, victim:O, machines: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: 'Should a user enable this content , the attackers are then able to use the DDE protocol to remotely execute commands in memory on the victim 's system .' [/INST] [Should:O, a:O, user:O, enable:O, this:O, content:O, ,:O, the:O, attackers:B-HackOrg, are:O, then:O, able:O, to:O, use:O, the:O, DDE:B-Tool, protocol:I-Tool, to:O, remotely:B-Way, execute:I-Way, commands:I-Way, in:O, memory:O, on:O, the:O, victim:O, 's:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Back in 2013 , CopyKittens used several Facebook profiles to spread links to a website impersonating Haaretz news , an Israeli newspaper .' [/INST] [Back:O, in:O, 2013:B-Time, ,:O, CopyKittens:B-HackOrg, used:O, several:O, Facebook:B-Org, profiles:O, to:O, spread:O, links:O, to:O, a:O, website:O, impersonating:O, Haaretz:O, news:O, ,:O, an:O, Israeli:B-Area, newspaper: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: 'Gallmaker 's activity appears to be highly targeted , with its victims all related to government , military , or defense sectors .' [/INST] [Gallmaker:B-HackOrg, 's:O, activity:B-OffAct, appears:O, to:O, be:O, highly:O, targeted:O, ,:O, with:O, its:O, victims:O, all:O, related:O, to:O, government:B-Idus, ,:O, military:B-Idus, ,:O, or:O, defense: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: 'Gallmaker 's targets are embassies of an Eastern European country .' [/INST] [Gallmaker:B-HackOrg, 's:O, targets:O, are:O, embassies:B-Org, of:O, an:O, Eastern:B-Area, European:I-Area, 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: 'There are no obvious links between the Eastern European and Middle Eastern targets , but it is clear that Gallmaker is specifically targeting the defense , military , and government sectors .' [/INST] [There:O, are:O, no:O, obvious:O, links:O, between:O, the:O, Eastern:B-Area, European:I-Area, and:O, Middle:B-Area, Eastern:I-Area, targets:O, ,:O, but:O, it:O, is:O, clear:O, that:O, Gallmaker:B-HackOrg, is:O, specifically:O, targeting:O, the:O, defense:B-Idus, ,:O, military:B-Idus, ,:O, and:O, government: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: 'The group has carried out attacks most months since December 2017 .' [/INST] [The:O, group:B-HackOrg, has:O, carried:O, out:O, attacks:B-OffAct, most:O, months:O, since:O, December:B-Time, 2017:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Its activity subsequently increased in the second quarter of 2018 , with a particular spike in April 2018 .' [/INST] [Its:O, activity:B-OffAct, subsequently:O, increased:O, in:O, the:B-Time, second:I-Time, quarter:I-Time, of:I-Time, 2018:I-Time, ,:O, with:O, a:O, particular:O, spike:O, in:O, April:B-Time, 2018:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The fact that Gallmaker appears to rely exclusively on LotL tactics and publicly available hack tools makes its activities extremely hard to detect .' [/INST] [The:O, fact:O, that:O, Gallmaker:B-HackOrg, appears:O, to:O, rely:O, exclusively:O, on:O, LotL:B-Tool, tactics:O, and:O, publicly:B-Tool, available:I-Tool, hack:I-Tool, tools:I-Tool, makes:O, its:O, activities:B-OffAct, extremely:O, hard:O, to:O, detect: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 Gamaredon Group primarily makes use of compromised domains , dynamic DNS providers , Russian and Ukrainian country code top-level domains ( ccTLDs ) , and Russian hosting providers to distribute their custom-built malware .' [/INST] [The:O, Gamaredon:B-HackOrg, Group:I-HackOrg, primarily:O, makes:O, use:O, of:O, compromised:O, domains:O, ,:O, dynamic:B-Org, DNS:I-Org, providers:I-Org, ,:O, Russian:B-Area, and:O, Ukrainian:B-Area, country:O, code:O, top-level:O, domains:O, (:O, ccTLDs:O, ):O, ,:O, and:O, Russian:B-Area, hosting:B-Org, providers:I-Org, to:O, distribute:O, their:O, custom-built:B-Tool, malware:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Gallmaker may well have continued to avoid detection were it not for Symantec 's technology .' [/INST] [Gallmaker:B-HackOrg, may:O, well:O, have:O, continued:O, to:O, avoid:O, detection:O, were:O, it:O, not:O, for:O, Symantec:B-SecTeam, 's:O, technology:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this instance , Symantec identified the specific PowerShell commands used by Gallmaker as being suspicious , leading to the discovery of this new campaign .' [/INST] [In:O, this:O, instance:O, ,:O, Symantec:B-SecTeam, identified:O, the:O, specific:O, PowerShell:B-Tool, commands:I-Tool, used:O, by:O, Gallmaker:B-HackOrg, as:O, being:O, suspicious:O, ,:O, leading:O, to:O, the:O, discovery:O, of:O, this:O, new:O, campaign:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Without Symantec 's advanced AI-based capabilities , Gallmaker 's activities may well have remained undetected .' [/INST] [Without:O, Symantec:B-SecTeam, 's:O, advanced:O, AI-based:O, capabilities:O, ,:O, Gallmaker:B-HackOrg, 's:O, activities:B-OffAct, may:O, well:O, have:O, remained:O, undetected: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: 'Previously , LookingGlass reported on a campaign they named , Operation Armageddon , , targeting individuals involved in the Ukrainian military and national security establishment .' [/INST] [Previously:O, ,:O, LookingGlass:B-SecTeam, reported:O, on:O, a:O, campaign:B-OffAct, they:O, named:O, ,:O, Operation:B-OffAct, Armageddon:I-OffAct, ,:O, ,:O, targeting:O, individuals:O, involved:O, in:O, the:O, Ukrainian:B-Area, military:B-Idus, and:O, national:O, security:O, establishment: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 earliest discovered sample ( based on compile times and sandbox submission times ) distributed by this threat group resembles the descriptions of Gamaredon provided by Symantec and Trend Micro .' [/INST] [The:O, earliest:O, discovered:O, sample:O, (:O, based:O, on:O, compile:O, times:O, and:O, sandbox:O, submission:O, times:O, ):O, distributed:O, by:O, this:O, threat:B-HackOrg, group:I-HackOrg, resembles:O, the:O, descriptions:O, of:O, Gamaredon:B-HackOrg, provided:O, by:O, Symantec:B-SecTeam, and:O, Trend:B-SecTeam, Micro:I-SecTeam, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The scripts would also use wget to send POST requests to command and control ( C2 ) servers that would contain information about the compromised system .' [/INST] [The:O, scripts:O, would:O, also:O, use:O, wget:B-Tool, to:O, send:B-Features, POST:I-Features, requests:I-Features, to:O, command:O, and:O, control:O, (:O, C2:O, ):O, servers:O, that:O, would:O, contain:B-Features, information:I-Features, about:O, the:O, compromised:O, system:O, .:O] </s> |