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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: '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: '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: '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: '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: '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: '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: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:O, 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: '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: '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: '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 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 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: '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: 'Just a few months later , in February 2015 , we announced the discovery of Carbanak , a cyber-criminal gang that used custom malware and APT techniques to steal millions of dollars while infecting hundreds of financial institutions in at least 30 countries .' [/INST] [Just:O, a:O, few:O, months:O, later:O, ,:O, in:O, February:B-Time, 2015:I-Time, ,:O, we:O, announced:O, the:O, discovery:O, of:O, Carbanak:B-Exp, ,:O, a:O, cyber-criminal:B-HackOrg, gang:I-HackOrg, that:O, used:O, custom:O, malware:O, and:O, APT:B-Way, techniques:I-Way, to:O, steal:B-Purp, millions:I-Purp, of:I-Purp, dollars:I-Purp, while:O, infecting:O, hundreds:O, of:O, financial:B-Org, institutions:I-Org, in:O, at:O, least:O, 30:O, countries: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 , in September last year , our friends at CSIS published a blog detailing a new Carbanak variant affecting one of its customers .' [/INST] [However:O, ,:O, in:O, September:B-Time, last:O, year:O, ,:O, our:O, friends:O, at:O, CSIS:B-SecTeam, published:O, a:O, blog:O, detailing:O, a:O, new:O, Carbanak:B-Exp, variant:O, affecting:O, one:O, of:O, its:O, customers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In one remarkable case , the Carbanak 2.0 gang used its access to a financial institution that stores information about shareholders to change the ownership details of a large company .' [/INST] [In:O, one:O, remarkable:O, case:O, ,:O, the:O, Carbanak:B-Exp, 2.0:O, gang:O, used:O, its:O, access:O, to:O, a:O, financial:B-Org, institution:I-Org, that:O, stores:O, information:O, about:O, shareholders:O, to:O, change:O, the:O, ownership:O, details:O, of:O, a:O, large:O, company: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 Gorgon Group campaign leveraged spear phishing emails with Microsoft Word documents exploiting CVE-2017-0199 .' [/INST] [This:O, Gorgon:B-OffAct, Group:I-OffAct, campaign:I-OffAct, leveraged:O, spear:B-Way, phishing:I-Way, emails:I-Way, with:O, Microsoft:B-SamFile, Word:I-SamFile, documents:I-SamFile, exploiting: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: 'Ke3chang has also leveraged a Java zero-day vulnerability ( CVE-2012-4681 ) , as well as older , reliable exploits for Microsoft Word ( CVE-2010-3333 ) and Adobe PDF Reader ( CVE-2010-2883 ) .' [/INST] [Ke3chang:B-HackOrg, has:O, also:O, leveraged:O, a:O, Java:B-Exp, zero-day:I-Exp, vulnerability:I-Exp, (:O, CVE-2012-4681:B-Exp, ):O, ,:O, as:O, well:O, as:O, older:O, ,:O, reliable:O, exploits:O, for:O, Microsoft:B-SamFile, Word:I-SamFile, (:O, CVE-2010-3333:B-Exp, ):O, and:O, Adobe:B-Tool, PDF:I-Tool, Reader:I-Tool, (:O, CVE-2010-2883:B-Exp, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While the URL acts similarly to how eye-watch.in : 443 delivers payloads , we also saw the URL leveraging and exploiting security flaws in Flash : CVE-2015-8651 , CVE-2016-1019 , and CVE-2016-4117 .' [/INST] [While:O, the:O, URL:O, acts:O, similarly:O, to:O, how:O, eye-watch.in:O, ::O, 443:O, delivers:O, payloads:O, ,:O, we:O, also:O, saw:O, the:O, URL:O, leveraging:O, and:O, exploiting:O, security:O, flaws:O, in:O, Flash:O, ::O, CVE-2015-8651:B-Exp, ,:O, CVE-2016-1019:B-Exp, ,:O, and:O, CVE-2016-4117:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The exploit , which takes advantage of CVE-2018-4878 , allows an attacker to execute arbitrary code such as an implant .' [/INST] [The:O, exploit:O, ,:O, which:O, takes:O, advantage:O, of:O, CVE-2018-4878:B-Exp, ,:O, allows:O, an:O, attacker:B-HackOrg, to:O, execute:O, arbitrary:O, code:O, such:O, as:O, an:O, implant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Documents with the Flash exploit managed to evade static defenses and remain undetected as an exploit on VirusTotal .' [/INST] [Documents:B-SamFile, with:O, the:O, Flash:B-Exp, exploit:I-Exp, managed:O, to:O, evade:O, static:O, defenses:O, and:O, remain:O, undetected:O, as:O, an:O, exploit:O, on:O, VirusTotal:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'WannaCry utilizes EternalBlue by crafting a custom SMB session request with hard-coded values based on the target system .' [/INST] [WannaCry:B-Tool, utilizes:O, EternalBlue:B-Exp, by:O, crafting:O, a:O, custom:O, SMB:B-Tool, session:O, request:O, with:O, hard-coded:O, values:O, based:O, on:O, the:O, target:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'WannaCry leverages an exploit , codenamed , EternalBlue , , that was released by the Shadow Brokers on April 14 , 2017 .' [/INST] [WannaCry:B-Tool, leverages:O, an:O, exploit:O, ,:O, codenamed:O, ,:O, EternalBlue:B-Exp, ,:O, ,:O, that:O, was:O, released:O, by:O, the:O, Shadow:B-HackOrg, Brokers:I-HackOrg, on:O, April:B-Time, 14:I-Time, ,:I-Time, 2017:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Microsoft addressed the SMBv1 vulnerabilities in March 2017 with Security Bulletin MS17-010 .' [/INST] [Microsoft:B-Org, addressed:O, the:O, SMBv1:B-Exp, vulnerabilities:I-Exp, in:O, March:B-Time, 2017:I-Time, with:O, Security:O, Bulletin:O, MS17-010:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The worm leverages an SMBv1 exploit that originates from tools released by the Shadow Brokers threat group in April .' [/INST] [The:O, worm:O, leverages:O, an:O, SMBv1:B-Exp, exploit:I-Exp, that:O, originates:O, from:O, tools:O, released:O, by:O, the:O, Shadow:B-HackOrg, Brokers:I-HackOrg, threat:B-HackOrg, group:I-HackOrg, in:O, April:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the DoublePulsar backdoor does not exist , then the SMB worm attempts to compromise the target using the Eternalblue SMBv1 exploit .' [/INST] [If:O, the:O, DoublePulsar:B-Tool, backdoor:I-Tool, does:O, not:O, exist:O, ,:O, then:O, the:O, SMB:B-Tool, worm:I-Tool, attempts:O, to:O, compromise:O, the:O, target:O, using:O, the:O, Eternalblue:B-Exp, SMBv1:I-Exp, exploit:I-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Leafminer has developed exploit payloads for this framework ( Table 2 ) that deliver custom malware through attacks against SMB vulnerabilities described by Microsoft .' [/INST] [Leafminer:B-HackOrg, has:O, developed:O, exploit:O, payloads:O, for:O, this:O, framework:O, (:O, Table:O, 2:O, ):O, that:O, deliver:O, custom:O, malware:O, through:O, attacks:B-OffAct, against:O, SMB:B-Exp, vulnerabilities:I-Exp, described:O, by:O, Microsoft:B-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The EternalBlue exploit from the framework received worldwide attention after being used in the ransomware campaigns WannaCry in May and Petya / NotPetya in June 2017 .' [/INST] [The:O, EternalBlue:B-Exp, exploit:I-Exp, from:O, the:O, framework:O, received:O, worldwide:O, attention:O, after:O, being:O, used:O, in:O, the:O, ransomware:B-OffAct, campaigns:I-OffAct, WannaCry:I-OffAct, in:O, May:B-Time, and:O, Petya:B-Tool, /:O, NotPetya:B-Tool, in:O, June:B-Time, 2017:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Leafminer operators use EternalBlue to attempt lateral movement within target networks from compromised staging servers .' [/INST] [The:O, Leafminer:B-HackOrg, operators:B-HackOrg, use:O, EternalBlue:B-Exp, to:O, attempt:O, lateral:O, movement:O, within:O, target:O, networks:O, from:O, compromised:O, staging:O, servers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Symantec also observed attempts by Leafminer to scan for the Heartbleed vulnerability ( CVE-2014-0160 ) from an attacker-controlled IP address .' [/INST] [Symantec:B-SecTeam, also:O, observed:O, attempts:O, by:O, Leafminer:B-HackOrg, to:O, scan:O, for:O, the:O, Heartbleed:B-Exp, vulnerability:I-Exp, (:O, CVE-2014-0160:B-Exp, ):O, from:O, an:O, attacker-controlled:O, IP:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attachments exploited CVE-2017-8759 which was discovered and documented only five days prior to the campaign .' [/INST] [The:O, attachments:O, exploited:O, CVE-2017-8759:B-Exp, which:O, was:O, discovered:O, and:O, documented:O, only:O, five:O, days:O, prior:O, to:O, the: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: 'Some of the documents exploited CVE-2017-0199 to deliver the payload .' [/INST] [Some:O, of:O, the:O, documents:B-SamFile, exploited:O, CVE-2017-0199:B-Exp, to:O, deliver:B-Features, the:I-Features, payload: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: 'The group 's capabilities are more than the much discussed CVE-2012-0158 exploits over the past few years .' [/INST] [The:O, group:B-HackOrg, 's:O, capabilities:O, are:O, more:O, than:O, the:O, much:O, discussed:O, CVE-2012-0158:B-Exp, exploits:O, over:O, the:O, past:O, few:O, years: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: 'Instead , the Spring Dragon group is known to have employed spearphish exploits , strategic web compromises , and watering holes attack .' [/INST] [Instead:O, ,:O, the:O, Spring:B-HackOrg, Dragon:I-HackOrg, group:I-HackOrg, is:O, known:O, to:O, have:O, employed:O, spearphish:B-Exp, exploits:I-Exp, ,:O, strategic:B-Way, web:I-Way, compromises:I-Way, ,:O, and:O, watering:B-OffAct, holes:I-OffAct, attack: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 's spearphish toolset includes PDF exploits , Adobe Flash Player exploits , and the common CVE-2012-0158 Word exploits including those generated from the infamous , Tran Duy Linh , kit .' [/INST] [The:O, group:B-HackOrg, 's:O, spearphish:O, toolset:O, includes:O, PDF:B-Exp, exploits:I-Exp, ,:O, Adobe:B-Exp, Flash:I-Exp, Player:I-Exp, exploits:I-Exp, ,:O, and:O, the:O, common:O, CVE-2012-0158:B-Exp, Word:B-Exp, exploits:I-Exp, including:O, those:O, generated:O, from:O, the:O, infamous:O, ,:O, Tran:B-Tool, Duy:I-Tool, Linh:I-Tool, ,:O, kit: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 this particular actor effectively used their almost worn out CVE-2012-0158 exploits in the past , Spring Dragon employs more involved and creative intrusive activity as well .' [/INST] [While:O, this:O, particular:O, actor:B-HackOrg, effectively:O, used:O, their:O, almost:O, worn:O, out:O, CVE-2012-0158:B-Exp, exploits:O, in:O, the:O, past:O, ,:O, Spring:B-HackOrg, Dragon:I-HackOrg, employs:O, more:O, involved:O, and:O, creative:O, intrusive:O, activity:B-OffAct, 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: 'To mitigate the threat of the described campaign , security teams can consider blocking access to the C2 server 103.236.150.14 and , where applicable , ensure that the Microsoft Security Update KB2553204 is installed in order to patch the CVE-2017-11882 vulnerability .' [/INST] [To:O, mitigate:O, the:O, threat:O, of:O, the:O, described:O, campaign:B-OffAct, ,:O, security:O, teams:O, can:O, consider:O, blocking:O, access:O, to:O, the:O, C2:O, server:O, 103.236.150.14:O, and:O, ,:O, where:O, applicable:O, ,:O, ensure:O, that:O, the:O, Microsoft:O, Security:O, Update:O, KB2553204:O, is:O, installed:O, in:O, order:O, to:O, patch:O, the:O, CVE-2017-11882:B-Exp, vulnerability: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 actors attempted to exploit CVE-2014-6332 using a slightly modified version of the proof-of-concept ( POC ) code to install a Trojan called Emissary , which is related to the Operation Lotus Blossom campaign .' [/INST] [The:O, actors:B-HackOrg, attempted:O, to:O, exploit:O, CVE-2014-6332:B-Exp, using:O, a:O, slightly:O, modified:O, version:O, of:O, the:O, proof-of-concept:O, (:O, POC:O, ):O, code:O, to:O, install:O, a:O, Trojan:O, called:O, Emissary:B-Tool, ,:O, which:O, is:O, related:O, to:O, the:O, Operation:B-OffAct, Lotus:I-OffAct, Blossom:I-OffAct, campaign: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: 'Both attachments are malicious Word documents that attempt to exploit the Windows OLE Automation Array Remote Code Execution Vulnerability tracked by CVE-2014-6332 .' [/INST] [Both:O, attachments:O, are:O, malicious:B-SamFile, Word:I-SamFile, documents:I-SamFile, that:O, attempt:O, to:O, exploit:O, the:O, Windows:B-Exp, OLE:I-Exp, Automation:I-Exp, Array:I-Exp, Remote:I-Exp, Code:I-Exp, Execution:I-Exp, Vulnerability:I-Exp, tracked:O, by:O, CVE-2014-6332: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: 'Lotus Blossom attempted to exploit CVE-2014-6332 using the POC code available in the wild .' [/INST] [Lotus:B-HackOrg, Blossom:I-HackOrg, attempted:O, to:O, exploit:O, CVE-2014-6332:B-Exp, using:O, the:O, POC:O, code:O, available:O, in:O, the:O, wild: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: 'Lotus Blossom was attempting to exploit CVE-2014-6332 to install a new version of the Emissary Trojan , specifically version 5.3 .' [/INST] [Lotus:B-HackOrg, Blossom:I-HackOrg, was:O, attempting:O, to:O, exploit:O, CVE-2014-6332:B-Exp, to:O, install:O, a:O, new:O, version:O, of:O, the:O, Emissary:B-Tool, Trojan:I-Tool, ,:O, specifically:O, version:O, 5.3: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: '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: 'PIVY also played a key role in the 2011 campaign known as Nitro that targeted chemical makers , government agencies , defense contractors , and human rights groups.10,11 Still active a year later , the Nitro attackers used a zero-day vulnerability in Java to deploy PIVY in 2012 .' [/INST] [PIVY:B-Tool, also:O, played:O, a:O, key:O, role:O, in:O, the:O, 2011:B-OffAct, campaign:I-OffAct, known:O, as:O, Nitro:O, that:O, targeted:O, chemical:O, makers:O, ,:O, government:B-Org, agencies:I-Org, ,:O, defense:B-Org, contractors:I-Org, ,:O, and:O, human:O, rights:O, groups.10,11:O, Still:O, active:O, a:O, year:O, later:O, ,:O, the:O, Nitro:O, attackers:B-HackOrg, used:O, a:O, zero-day:B-Exp, vulnerability:I-Exp, in:O, Java:O, to:O, deploy:O, PIVY:B-Tool, in:O, 2012: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: 'Just recently , PIVY was the payload of a zero-day exploit in Internet Explorer used in what is known as a , strategic web compromise , attack against visitors to a U.S. government website and a variety of others .' [/INST] [Just:O, recently:O, ,:O, PIVY:B-Tool, was:O, the:O, payload:O, of:O, a:O, zero-day:B-Exp, exploit:I-Exp, in:O, Internet:O, Explorer:O, used:O, in:O, what:O, is:O, known:O, as:O, a:O, ,:O, strategic:O, web:O, compromise:O, ,:O, attack:B-OffAct, against:O, visitors:O, to:O, a:O, U.S.:B-Area, government:O, website:O, and:O, a:O, variety:O, of:O, others: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 came in the form of a , Tran Duy Linh , CVE-2012-0158 exploit kit document MD5 : de8a242af3794a8be921df0cfa51885f61 and was observed on April 10 , 2014 .' [/INST] [It:O, came:O, in:O, the:O, form:O, of:O, a:O, ,:O, Tran:B-Tool, Duy:I-Tool, Linh:I-Tool, ,:O, CVE-2012-0158:B-Exp, exploit:O, kit:O, document:O, MD5:O, ::O, de8a242af3794a8be921df0cfa51885f61:O, and:O, was:O, observed:O, on:O, April:B-Time, 10:I-Time, ,:I-Time, 2014: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: 'This bait document , or email attachment , appears to be a standard Word document , but is in fact an CVE-2012-0158 exploit , an executable with a double extension , or an executable with an RTLO filename , so it can execute code without the user 's knowledge or consent .' [/INST] [This:O, bait:B-SamFile, document:I-SamFile, ,:O, or:O, email:B-Way, attachment:I-Way, ,:O, appears:O, to:O, be:O, a:O, standard:O, Word:B-SamFile, document:I-SamFile, ,:O, but:O, is:O, in:O, fact:O, an:O, CVE-2012-0158:B-Exp, exploit:O, ,:O, an:O, executable:O, with:O, a:O, double:O, extension:O, ,:O, or:O, an:O, executable:O, with:O, an:O, RTLO:O, filename:O, ,:O, so:O, it:O, can:O, execute:O, code:O, without:O, the:O, user:O, 's:O, knowledge:O, or:O, consent: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: 'PROMETHIUM and NEODYMIUM both used an exploit for CVE-2016-4117 , a vulnerability in Adobe Flash Player that , at the time , was both unknown and unpatched .' [/INST] [PROMETHIUM:B-HackOrg, and:O, NEODYMIUM:B-HackOrg, both:O, used:O, an:O, exploit:O, for:O, CVE-2016-4117:B-Exp, ,:O, a:O, vulnerability:O, in:O, Adobe:O, Flash:O, Player:O, that:O, ,:O, at:O, the:O, time:O, ,:O, was:O, both:O, unknown:O, and:O, unpatched: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: 'PROMETHIUM and NEODYMIUM both used a zero-day exploit that executed code to download a malicious payload .' [/INST] [PROMETHIUM:B-HackOrg, and:O, NEODYMIUM:B-HackOrg, both:O, used:O, a:O, zero-day:B-Exp, exploit:I-Exp, that:O, executed:O, code:O, to:O, download:O, a:O, malicious:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'NEODYMIUM also used the exact same CVE-2016-4117 exploit code that PROMETHIUM used , prior to public knowledge of the vulnerability 's existence .' [/INST] [NEODYMIUM:B-HackOrg, also:O, used:O, the:O, exact:O, same:O, CVE-2016-4117:B-Exp, exploit:O, code:O, that:O, PROMETHIUM:B-HackOrg, used:O, ,:O, prior:O, to:O, public:O, knowledge:O, of:O, the:O, vulnerability:O, 's:O, existence: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 May 2016 , two apparently unrelated activity groups , PROMETHIUM and NEODYMIUM , conducted attack campaigns in Europe that used the same zeroday exploit while the vulnerability was publicly unknown .' [/INST] [In:O, May:B-Time, 2016:I-Time, ,:O, two:O, apparently:O, unrelated:O, activity:B-HackOrg, groups:I-HackOrg, ,:O, PROMETHIUM:B-HackOrg, and:O, NEODYMIUM:B-HackOrg, ,:O, conducted:O, attack:B-OffAct, campaigns:I-OffAct, in:O, Europe:B-Area, that:O, used:O, the:O, same:O, zeroday:B-Exp, exploit:I-Exp, while:O, the:O, vulnerability:O, was:O, publicly:O, unknown:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Middle Eastern hacker group in this case is codenamed , BlackOasis , 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] [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, 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: 'The discovery by Kaspersky marks at least the fifth zero-day exploit used by BlackOasis and exposed by security researchers since June 2015 .' [/INST] [The:O, discovery:O, by:O, Kaspersky:B-SecTeam, marks:O, at:O, least:O, the:O, fifth:O, zero-day:B-Exp, exploit:I-Exp, used:O, by:O, BlackOasis:B-HackOrg, and:O, exposed:O, by:O, security:O, researchers:O, since:O, June: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: 'Less than a week after Microsoft issued a patch for CVE-2017-11882 on Nov. 14 , 2017 , FireEye observed an attacker using an exploit for the Microsoft Office vulnerability to target a government organization in the Middle East .' [/INST] [Less:O, than:O, a:O, week:O, after:O, Microsoft:B-Org, issued:O, a:O, patch:O, for:O, CVE-2017-11882:B-Exp, on:O, Nov.:B-Time, 14:I-Time, ,:I-Time, 2017:I-Time, ,:O, FireEye:B-SecTeam, observed:O, an:O, attacker:B-HackOrg, using:O, an:O, exploit:O, for:O, the:O, Microsoft:B-Exp, Office:I-Exp, vulnerability:I-Exp, to:O, target:O, a:O, government:B-Org, organization:I-Org, 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: 'The backdoor was delivered via a malicious .rtf file that exploited CVE-2017-0199 .' [/INST] [The:O, backdoor:O, was:O, delivered:O, via: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 this latest campaign , APT34 leveraged the recent Microsoft Office vulnerability CVE-2017-11882 to deploy POWRUNER and BONDUPDATER .' [/INST] [In:O, this:O, latest:O, campaign:B-OffAct, ,:O, APT34:B-HackOrg, leveraged:O, the:O, recent: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, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During the past few months , APT34 has been able to quickly incorporate exploits for at least two publicly vulnerabilities ( CVE-2017-0199 and CVE-2017-11882 ) to target organizations in the Middle East .' [/INST] [During:O, the:O, past:O, few:O, months:O, ,:O, APT34:B-HackOrg, has:O, been:O, able:O, to:O, quickly:O, incorporate:O, exploits:O, for:O, at:O, least:O, two:O, publicly:O, vulnerabilities:O, (:O, CVE-2017-0199:B-Exp, and:O, CVE-2017-11882:B-Exp, ):O, to:O, target:O, organizations: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: '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: '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:B-Tool, RTF:I-Tool, file:O, 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: 'Specifically , Suckfly used a specially crafted web page to deliver an exploit for the Microsoft Windows OLE Remote Code Execution Vulnerability ( CVE-2014-6332 ) , which affects specific versions of Microsoft Windows .' [/INST] [Specifically:O, ,:O, Suckfly:O, used:O, a:O, specially:O, crafted:O, web:O, page:O, to:O, deliver:O, an:O, exploit:O, for:O, the:O, Microsoft:B-Exp, Windows:I-Exp, OLE:I-Exp, Remote:I-Exp, Code:I-Exp, Execution:I-Exp, Vulnerability:I-Exp, (:O, CVE-2014-6332:B-Exp, ):O, ,:O, which:O, affects:O, specific:O, versions:O, of:O, Microsoft:O, Windows:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This time , however , TA459 opportunistically used spear-phishing emails with a Microsoft Word attachment exploiting the recently patched CVE-2017-0199 to deploy the ZeroT Trojan , which in turn downloaded the PlugX Remote Access Trojan ( RAT ) .' [/INST] [This:O, time:O, ,:O, however:O, ,:O, TA459:O, opportunistically:O, used:O, spear-phishing:B-Way, emails:I-Way, with:O, a:O, Microsoft:B-SamFile, Word:I-SamFile, attachment:I-SamFile, exploiting:O, the:O, recently:O, patched:O, CVE-2017-0199:B-Exp, to:O, deploy:O, the:O, ZeroT:B-Tool, Trojan:I-Tool, ,:O, which:O, in:O, turn:O, downloaded:O, the:O, PlugX:B-Tool, Remote:I-Tool, Access:I-Tool, Trojan:I-Tool, (:O, RAT:B-Tool, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This time , however , attackers opportunistically used spear-phishing emails with a Microsoft Word attachment exploiting the recently patched CVE-2017-0199 to deploy the ZeroT Trojan , which in turn downloaded the PlugX Remote Access Trojan ( RAT ) .' [/INST] [This:O, time:O, ,:O, however:O, ,:O, attackers:O, opportunistically:O, used:O, spear-phishing:B-Way, emails:I-Way, with:O, a:O, Microsoft:B-SamFile, Word:I-SamFile, attachment:I-SamFile, exploiting:O, the:O, recently:O, patched:O, CVE-2017-0199:B-Exp, to:O, deploy:O, the:O, ZeroT:B-Tool, Trojan:I-Tool, ,:O, which:O, in:O, turn:O, downloaded:O, the:O, PlugX:B-Tool, Remote:I-Tool, Access:I-Tool, Trojan:I-Tool, (:O, RAT:B-Tool, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Data from the early part of this year shows that the Taidoor attackers rampantly used malicious.DOC files to exploit a Microsoft Common Controls vulnerability , CVE-2012-0158 .' [/INST] [Data:O, from:O, the:O, early:O, part:O, of:O, this:O, year:O, shows:O, that:O, the:O, Taidoor:O, attackers:O, rampantly:O, used:O, malicious.DOC:B-SamFile, files:O, to:O, exploit:O, a:O, Microsoft:B-Exp, Common:I-Exp, Controls:I-Exp, vulnerability:I-Exp, ,:O, CVE-2012-0158:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TG-3390 uses older exploits to compromise targets , and CTU researchers have not observed the threat actors using zero-day exploits as of this publication .' [/INST] [TG-3390:B-HackOrg, uses:O, older:O, exploits:O, to:O, compromise:O, targets:O, ,:O, and:O, CTU:B-SecTeam, researchers:O, have:O, not:O, observed:O, the:O, threat:O, actors:O, using:O, zero-day:B-Exp, exploits:I-Exp, as:O, of:O, this:O, publication: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: 'TG-3390 actors have used Java exploits in their SWCs .' [/INST] [TG-3390:B-HackOrg, actors:O, have:O, used:O, Java:B-Exp, exploits:I-Exp, in:O, their:O, SWCs: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: 'In particular , TG-3390 has exploited CVE-2011-3544 , a vulnerability in the Java Runtime Environment , to deliver the HTTPBrowser backdoor ; and CVE-2010-0738 , a vulnerability in JBoss , to compromise internally and externally accessible assets used to redirect users' web browsers to exploit code .' [/INST] [In:O, particular:O, ,:O, TG-3390:B-HackOrg, has:O, exploited:O, CVE-2011-3544:B-Exp, ,:O, a:O, vulnerability:O, in:O, the:O, Java:O, Runtime:O, Environment:O, ,:O, to:O, deliver:O, the:O, HTTPBrowser:B-Tool, backdoor:I-Tool, ;:O, and:O, CVE-2010-0738:B-Exp, ,:O, a:O, vulnerability:O, in:O, JBoss:B-Tool, ,:O, to:O, compromise:O, internally:O, and:O, externally:O, accessible:O, assets:O, used:O, to:O, redirect:O, users':O, web:O, browsers:O, to:O, exploit:O, code: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 particular , the threat actors have exploited CVE-2011-3544 , a vulnerability in the Java Runtime Environment , to deliver the HTTPBrowser backdoor ; and CVE-2010-0738 , a vulnerability in JBoss , to compromise internally and externally accessible assets used to redirect users' web browsers to exploit code .' [/INST] [In:O, particular:O, ,:O, the:O, threat:O, actors:O, have:O, exploited:O, CVE-2011-3544:B-Exp, ,:O, a:O, vulnerability:O, in:O, the:O, Java:O, Runtime:O, Environment:O, ,:O, to:O, deliver:O, the:O, HTTPBrowser:B-Tool, backdoor:I-Tool, ;:O, and:O, CVE-2010-0738:B-Exp, ,:O, a:O, vulnerability:O, in:O, JBoss:B-Tool, ,:O, to:O, compromise:O, internally:O, and:O, externally:O, accessible:O, assets:O, used:O, to:O, redirect:O, users':O, web:O, browsers:O, to:O, exploit:O, code: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: 'TG-3390 's activities indicate a preference for leveraging SWCs and scan-and-exploit techniques to compromise target systems .' [/INST] [TG-3390:O, 's:O, activities:B-OffAct, indicate:O, a:O, preference:O, for:O, leveraging:B-Way, SWCs:I-Way, and:O, scan-and-exploit:B-Way, techniques:I-Way, to:O, compromise:O, target: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: 'Even when we observed LuckyMouse using weaponized documents with CVE-2017-11882 ( Microsoft Office Equation Editor , widely used by Chinese-speaking actors since December 2017 ) , we can′t prove they were related to this particular attack .' [/INST] [Even:O, when:O, we:O, observed:O, LuckyMouse:O, using:O, weaponized:O, documents:O, with:O, CVE-2017-11882:B-Exp, (:O, Microsoft:B-Tool, Office:I-Tool, Equation:I-Tool, Editor:I-Tool, ,:O, widely:O, used:O, by:O, Chinese-speaking:O, actors:O, since:O, December:B-Time, 2017:I-Time, ):O, ,:O, we:O, can′t:O, prove:O, they:O, were:O, related:O, to:O, this:O, particular:O, attack:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'LuckyMouse has been spotted using a widely used Microsoft Office vulnerability ( CVE-2017-11882 ) .' [/INST] [LuckyMouse:O, has:O, been:O, spotted:O, using:O, a:O, widely:O, used:O, Microsoft:B-Exp, Office:I-Exp, vulnerability:I-Exp, (:O, CVE-2017-11882:B-Exp, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'No zero-day vulnerabilities were used to breach targeted networks , instead , TG-3390 relied on old vulnerabilities such as CVE-2011-3544 , — a near-year-old Java security hole — , and CVE-2010-0738 to compromise their targets , , Dell SecureWorks' researchers reported .' [/INST] [No:O, zero-day:B-Exp, vulnerabilities:I-Exp, were:O, used:O, to:O, breach:O, targeted:O, networks:O, ,:O, instead:O, ,:O, TG-3390:O, relied:O, on:O, old:O, vulnerabilities:O, such:O, as:O, CVE-2011-3544:B-Exp, ,:O, —:O, a:O, near-year-old:O, Java:O, security:O, hole:O, —:O, ,:O, and:O, CVE-2010-0738:B-Exp, to:O, compromise:O, their:O, targets:O, ,:O, ,:O, Dell:B-SecTeam, SecureWorks':I-SecTeam, researchers:O, reported: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: 'Execute a command through exploits for CVE-2017-11882 .' [/INST] [Execute:O, a:O, command:O, through:O, exploits:O, for:O, CVE-2017-11882: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: 'Execute a command through exploits for CVE-2018-0802 .' [/INST] [Execute:O, a:O, command:O, through:O, exploits:O, for:O, CVE-2018-0802:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The document attached to this e-mail exploits CVE-2012-0158 .' [/INST] [The:O, document:O, attached:O, to:O, this:O, e-mail:B-Exp, exploits:I-Exp, CVE-2012-0158:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Tropic Trooper is also still exploiting CVE-2012-0158 , as are many threat actors .' [/INST] [Tropic:B-HackOrg, Trooper:I-HackOrg, is:O, also:O, still:O, exploiting:O, CVE-2012-0158:B-Exp, ,:O, as:O, are:O, many:O, threat:O, actors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The documents attached to spear-phishing e-mails used in both attacks contain code that exploits CVE-2012-0158 , which despite its age remains one of the most common Microsoft Word vulnerabilities being exploited by multiple threat actors .' [/INST] [The:O, documents:B-SamFile, attached:O, to:O, spear-phishing:B-Way, e-mails:I-Way, used:O, in:O, both:O, attacks:B-OffAct, contain:O, code:O, that:O, exploits:O, CVE-2012-0158:B-Exp, ,:O, which:O, despite:O, its:O, age:O, remains:O, one:O, of:O, the:O, most:O, common:O, Microsoft:B-Exp, Word:I-Exp, vulnerabilities:I-Exp, being:O, exploited:O, by:O, multiple:O, threat:O, actors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'the backdoor is packaged together with the CVE-2013-5065 EoP exploit and heavily obfuscated .' [/INST] [the:O, backdoor:O, is:O, packaged:O, together:O, with:O, the:O, CVE-2013-5065:B-Exp, EoP:B-Exp, exploit:I-Exp, and:O, heavily:O, obfuscated:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While we were unable to recover the initial vulnerability used , it is possibly the same CVE-2014-0515 Adobe Flash exploit first reported by Cisco TRAC in late July .' [/INST] [While:O, we:O, were:O, unable:O, to:O, recover:O, the:O, initial:O, vulnerability:O, used:O, ,:O, it:O, is:O, possibly:O, the:O, same:O, CVE-2014-0515:B-Exp, Adobe:B-Exp, Flash:I-Exp, exploit:I-Exp, first:O, reported:O, by:O, Cisco:B-SecTeam, TRAC:I-SecTeam, in:O, late:B-Time, July:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , to increase success rates APT20 can use zero-day exploits , so even a properly patched system would be compromised .' [/INST] [However:O, ,:O, to:O, increase:O, success:O, rates:O, APT20:B-HackOrg, can:O, use:O, zero-day:B-Exp, exploits:I-Exp, ,:O, so:O, even:O, a:O, properly:O, patched:O, system:O, would:O, be:O, compromised:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PLEAD also dabbled with a short-lived , fileless version of their malware when it obtained an exploit for a Flash vulnerability ( CVE-2015-5119 ) that was leaked during the Hacking Team breach .' [/INST] [PLEAD:B-OffAct, also:O, dabbled:O, with:O, a:O, short-lived:O, ,:O, fileless:O, version:O, of:O, their:O, malware:O, when:O, it:O, obtained:O, an:O, exploit:O, for:O, a:O, Flash:B-Exp, vulnerability:I-Exp, (:O, CVE-2015-5119:B-Exp, ):O, that:O, was:O, leaked:O, during:O, the:O, Hacking:O, Team:O, breach: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: 'PLEAD also uses CVE-2017-7269 , a buffer overflow vulnerability Microsoft Internet Information Services ( IIS ) 6.0 to compromise the victim 's server .' [/INST] [PLEAD:B-OffAct, also:O, uses:O, CVE-2017-7269:B-Exp, ,:O, a:O, buffer:O, overflow:O, vulnerability:O, Microsoft:O, Internet:O, Information:O, Services:O, (:O, IIS:O, ):O, 6.0:O, to:O, compromise:O, the:O, victim:O, 's:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Kaspersky Lab has detected a new method of first infection that uses a drive-by-download with a flash exploit ( CVE-2015-5119 , the one leaked from The Hacking Team incident ) .' [/INST] [Kaspersky:B-SecTeam, Lab:I-SecTeam, has:O, detected:O, a:O, new:O, method:O, of:O, first:O, infection:O, that:O, uses:O, a:O, drive-by-download:O, with:O, a:O, flash:B-Exp, exploit:I-Exp, (:O, CVE-2015-5119:B-Exp, ,:O, the:O, one:O, leaked:O, from:O, The:O, Hacking:O, Team:O, incident: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: 'If the document was delivered with macros instead of exploits ( CVE-2012-0158 , CVE-2013-3906 or CVE-2014-1761 ) , then the document contained instructions for enabling macros .' [/INST] [If:O, the:O, document:B-SamFile, was:O, delivered:O, with:O, macros:O, instead:O, of:O, exploits:O, (:O, CVE-2012-0158:B-Exp, ,:O, CVE-2013-3906:B-Exp, or:O, CVE-2014-1761:B-Exp, ):O, ,:O, then:O, the:O, document:O, contained:O, instructions:O, for:O, enabling:O, macros: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: 'Moreover , they used the same exploit kit Niteris as that in the Corkow case .' [/INST] [Moreover:O, ,:O, they:O, used:O, the:O, same:O, exploit:O, kit:B-Exp, Niteris:I-Exp, as:O, that:O, in:O, the:O, Corkow:B-Tool, case: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 CVE-2012-0773 was originally discovered by VUPEN and has an interesting story .' [/INST] [The:O, CVE-2012-0773:B-Exp, was:O, originally:O, discovered:O, by:O, VUPEN:O, and:O, has:O, an:O, interesting:O, story: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 decoy documents used by the InPage exploits suggest that the targets are likely to be politically or militarily motivated .' [/INST] [The:O, decoy:B-Tool, documents:I-Tool, used:O, by:O, the:O, InPage:B-Exp, exploits:I-Exp, suggest:O, that:O, the:O, targets:O, are:O, likely:O, to:O, be:O, politically:B-Idus, or:O, militarily:B-Idus, motivated: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 documents designed to exploit the InPage software are rare , they are not new – however in recent weeks Unit42 has observed numerous InPage exploits leveraging similar shellcode , suggesting continued use of the exploit previously discussed by Kaspersky .' [/INST] [While:O, documents:O, designed:O, to:O, exploit:O, the:O, InPage:B-Tool, software:I-Tool, are:O, rare:O, ,:O, they:O, are:O, not:O, new:O, –:O, however:O, in:O, recent:O, weeks:O, Unit42:B-SecTeam, has:O, observed:O, numerous:O, InPage:B-Exp, exploits:I-Exp, leveraging:O, similar:O, shellcode:O, ,:O, suggesting:O, continued:O, use:O, of:O, the:O, exploit:O, previously:O, discussed:O, by:O, Kaspersky:B-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: 'Compared to Patchwork , whose Trojanized documents exploit at least five security flaws , Confucius' backdoors are delivered through Office files exploiting memory corruption vulnerabilities CVE-2015-1641 and CVE-2017-11882 .' [/INST] [Compared:O, to:O, Patchwork:B-HackOrg, ,:O, whose:O, Trojanized:O, documents:O, exploit:O, at:O, least:O, five:O, security:O, flaws:O, ,:O, Confucius':O, backdoors:O, are:O, delivered:O, through:O, Office:O, files:O, exploiting:O, memory:O, corruption:O, vulnerabilities:O, CVE-2015-1641:B-Exp, and:O, CVE-2017-11882: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: 'Lately , Patchwork has been sending multiple RTF files exploiting CVE-2017-8570 .' [/INST] [Lately:O, ,:O, Patchwork:B-HackOrg, has:O, been:O, sending:O, multiple:O, RTF:B-SamFile, files:I-SamFile, exploiting:O, CVE-2017-8570:B-Exp, .:O] </s> |