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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: 'Both of these alerts discussed campaigns in which actors used the CVE-2019-0604 to exploit SharePoint servers to install the China Chopper webshell .' [/INST] [Both:O, of:O, these:O, alerts:O, discussed:O, campaigns:O, in:O, which:O, actors:B-HackOrg, used:O, the:O, CVE-2019-0604:B-Exp, to:O, exploit:O, SharePoint:O, servers:O, to:O, install:O, the:O, China:B-Tool, Chopper:I-Tool, webshell: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 other overlapping files are tools used by the adversary to locate other systems on the network (etool.exe) , check to see if they are vulnerable to CVE-2017-0144 (EternalBlue) patched in MS07-010 (checker1.exe) and pivot to them using remote execution functionality offered by a tool similar to PsExec offered by Impacket (psexec.exe) .' [/INST] [The:O, other:O, overlapping:O, files:O, are:O, tools:O, used:O, by:O, the:O, adversary:O, to:O, locate:O, other:O, systems:O, on:O, the:O, network:O, (etool.exe):O, ,:O, check:O, to:O, see:O, if:O, they:O, are:O, vulnerable:O, to:O, CVE-2017-0144:B-Exp, (EternalBlue):O, patched:O, in:O, MS07-010:B-SamFile, (checker1.exe):O, and:O, pivot:O, to:O, them:O, using:O, remote:O, execution:O, functionality:O, offered:O, by:O, a:O, tool:O, similar:O, to:O, PsExec:B-SamFile, offered:O, by:O, Impacket:O, (psexec.exe):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 Emissary Panda threat group loaded the China Chopper webshell onto SharePoint servers at two Government organizations in the Middle East , which we believe with high confidence involved exploiting a remote code execution vulnerability in SharePoint tracked in CVE-2019-0604 .' [/INST] [The:O, Emissary:B-HackOrg, Panda:I-HackOrg, threat:O, group:O, loaded:O, the:O, China:B-Tool, Chopper:I-Tool, webshell:O, onto:O, SharePoint:O, servers:O, at:O, two:O, Government:O, organizations:O, in:O, the:O, Middle:B-Area, East:I-Area, ,:O, which:O, we:O, believe:O, with:O, high:O, confidence:O, involved:O, exploiting:O, a:O, remote:O, code:O, execution:O, vulnerability:O, in:O, SharePoint:O, tracked:O, in:O, CVE-2019-0604: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 files uploaded to this webshell included the same compiled python script that would scan remote systems that were vulnerable to CVE-2017-0144 (EternalBlue) that we saw uploaded to the other errr.aspx webshell .' [/INST] [The:O, files:O, uploaded:O, to:O, this:O, webshell:O, included:O, the:O, same:O, compiled:O, python:B-Tool, script:I-Tool, that:O, would:O, scan:O, remote:O, systems:O, that:O, were:O, vulnerable:O, to:O, CVE-2017-0144:B-Exp, (EternalBlue):O, that:O, we:O, saw:O, uploaded:O, to:O, the:O, other:O, errr.aspx:B-SamFile, webshell: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 the actors pivoted to other systems on the network using stolen credentials and by exploiting the CVE-2017-0144 (EternalBlue) vulnerability patched in MS17-010 .' [/INST] [We:O, believe:O, the:O, actors:B-HackOrg, pivoted:O, to:O, other:O, systems:O, on:O, the:O, network:O, using:O, stolen:B-OffAct, credentials:I-OffAct, and:O, by:O, exploiting:O, the:O, CVE-2017-0144:B-Exp, (EternalBlue):O, vulnerability:O, patched:O, in:O, MS17-010:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To deliver their malware , the cyber criminals use spearphishing emails with various types of attachments: MS Office documents or spreadsheet files exploiting some known vulnerability like CVE-2017-11882 , or documents with Ole2Link and SCT .' [/INST] [To:O, deliver:O, their:O, malware:O, ,:O, the:O, cyber:B-HackOrg, criminals:I-HackOrg, use:O, spearphishing:B-Tool, emails:I-Tool, with:O, various:O, types:O, of:O, attachments::B-Tool, MS:O, Office:O, documents:B-Tool, or:O, spreadsheet:O, files:O, exploiting:O, some:O, known:O, vulnerability:O, like:O, CVE-2017-11882:B-Exp, ,:O, or:O, documents:B-Tool, with:O, Ole2Link:O, and:O, SCT: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 activity ceased in February 2016 , likely because the men who made up Scattered Canary began to focus on honing their BEC total , Scattered Canary received more than 3 , 000 account credentials as a result of their phishing attacks .' [/INST] [This:O, activity:O, ceased:O, in:O, February:B-Time, 2016:I-Time, ,:O, likely:O, because:O, the:O, men:O, who:O, made:O, up:O, Scattered:B-HackOrg, Canary:I-HackOrg, began:O, to:O, focus:O, on:O, honing:O, their:O, BEC:O, total:O, ,:O, Scattered:B-HackOrg, Canary:I-HackOrg, received:O, more:O, than:O, 3:O, ,:O, 000:O, account:O, credentials:O, as:O, a:O, result:O, of:O, their:O, phishing:B-Exp, attacks: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 past iteration of SLUB spread from a unique watering hole website exploiting CVE-2018-8174 , a VBScript engine vulnerability .' [/INST] [The:O, past:O, iteration:O, of:O, SLUB:B-HackOrg, spread:O, from:O, a:O, unique:O, watering:B-Way, hole:I-Way, website:O, exploiting:O, CVE-2018-8174:B-Exp, ,:O, a:O, VBScript:O, engine:O, 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: 'This malicious site used CVE-2019-0752 , an Internet Explorer vulnerability discovered by Trend Micro’s Zero Day Initiative (ZDI) that was just patched this April .' [/INST] [This:O, malicious:O, site:O, used:O, CVE-2019-0752:B-Exp, ,:O, an:O, Internet:O, Explorer:O, vulnerability:O, discovered:O, by:O, Trend:B-SecTeam, Micro’s:I-SecTeam, Zero:O, Day:O, Initiative:O, (ZDI):O, that:O, was:O, just:O, patched:O, this: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: 'The SLUB malware was delivered through watering hole websites that were injected with exploits for CVE-2018-8174 or CVE-2019-0752 .' [/INST] [The:O, SLUB:B-HackOrg, malware:O, was:O, delivered:O, through:O, watering:O, hole:O, websites:O, that:O, were:O, injected:O, with:O, exploits:O, for:O, CVE-2018-8174:B-Exp, or:O, CVE-2019-0752: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 May 2018 , campaigns being conducted by SWEED began leveraging another vulnerability in Microsoft Office: CVE-2017-11882 , a remote code execution bug in Microsoft Office that is commonly observed being leveraged in malicious documents used in commodity malware distribution .' [/INST] [In:O, May:B-Time, 2018:I-Time, ,:O, campaigns:O, being:O, conducted:O, by:O, SWEED:B-HackOrg, began:O, leveraging:O, another:O, vulnerability:O, in:O, Microsoft:O, Office::O, CVE-2017-11882:B-Exp, ,:O, a:O, remote:O, code:O, execution:O, bug:O, in:O, Microsoft:O, Office:O, that:O, is:O, commonly:O, observed:O, being:O, leveraged:O, in:O, malicious:O, documents:O, used:O, in:O, commodity:O, malware:O, distribution: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: 'Code contained inside one of the slides triggers an exploit for CVE-2017-8759 , a remote code execution vulnerability in Microsoft .NET framework .' [/INST] [Code:O, contained:O, inside:O, one:O, of:O, the:O, slides:B-SamFile, triggers:O, an:O, exploit:O, for:O, CVE-2017-8759:B-Exp, ,:O, a:O, remote:O, code:O, execution:O, vulnerability:O, in:O, Microsoft:B-Tool, .NET:I-Tool, framework: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: 'Zebrocy activity initiates with spearphishing operations delivering various target profilers and downloaders without the use of any 0day exploits .' [/INST] [Zebrocy:B-HackOrg, activity:O, initiates:O, with:O, spearphishing:B-Way, operations:O, delivering:O, various:O, target:O, profilers:O, and:O, downloaders:O, without:O, the:O, use:O, of:O, any:O, 0day:B-Exp, exploits: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: 'On Nov14 , 2017 , FireEye observed APT34 using an exploit for the Microsoft Office vulnerability to target a government organization in the Middle East .' [/INST] [On:O, Nov14:B-Time, ,:O, 2017:B-Time, ,:O, FireEye:B-SecTeam, observed:O, APT34:B-HackOrg, using:O, an:O, exploit:O, for:O, the:O, Microsoft:O, Office:O, vulnerability:B-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: 'Google and Microsoft have already confirmed the Russian hacker group APT28 used a Flash vulnerability CVE-2016-7855 along with this kernel privilege escalation flaw to perform a targeted attack .' [/INST] [Google:B-SecTeam, and:O, Microsoft:B-SecTeam, have:O, already:O, confirmed:O, the:O, Russian:O, hacker:O, group:O, APT28:B-HackOrg, used:O, a:O, Flash:O, vulnerability:O, CVE-2016-7855:B-Exp, along:O, with:O, this:O, kernel:O, privilege:O, escalation:O, flaw:O, to:O, perform:O, a:O, targeted:O, attack: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 first became aware of BlackOasis’ activities in May 2016 , while investigating another Adobe Flash zero day .' [/INST] [Kaspersky:B-SecTeam, first:O, became:O, aware:O, of:O, BlackOasis’:B-HackOrg, activities:O, in:O, May:B-Time, 2016:I-Time, ,:O, while:O, investigating:O, another:O, Adobe:O, Flash:O, zero:B-Exp, day: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: 'Through the exploitation of the HTA handler vulnerability described in CVE-2017-1099 , the observed RTF attachments download .' [/INST] [Through:O, the:O, exploitation:O, of:O, the:O, HTA:O, handler:O, vulnerability:O, described:O, in:O, CVE-2017-1099:B-Exp, ,:O, the:O, observed:O, RTF:B-SamFile, attachments:I-SamFile, download: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 early May , the phishing lures leveraged RTF attachments that exploited the Microsoft Windows vulnerability described in CVE-2017-0199 .' [/INST] [In:O, early:O, May:B-Time, ,:O, the:O, phishing:B-Way, lures:I-Way, leveraged:O, RTF:B-SamFile, attachments:I-SamFile, that:O, exploited:O, the:O, Microsoft:O, Windows:O, vulnerability:O, described:O, in: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: 'As early as March 4 , 2017 , malicious documents exploiting CVE-2017-0199 were used to deliver the LATENTBOT malware .' [/INST] [As:O, early:O, as:O, March:B-Time, 4:I-Time, ,:O, 2017:B-Time, ,:O, malicious:B-SamFile, documents:I-SamFile, exploiting:O, CVE-2017-0199:B-Exp, were:O, used:O, to:O, deliver:O, the:O, LATENTBOT: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: 'The first , st07383.en17.docx , continues by utilizing 32 or 64 bit versions of CVE-2017-0001 to escalate privileges before executing a final JavaScript payload containing a malware implant known as SHIRIME .' [/INST] [The:O, first:O, ,:O, st07383.en17.docx:B-SamFile, ,:O, continues:O, by:O, utilizing:O, 32:O, or:O, 64:O, bit:O, versions:O, of:O, CVE-2017-0001:B-Exp, to:O, escalate:O, privileges:O, before:O, executing:O, a:O, final:O, JavaScript:O, payload:O, containing:O, a:O, malware:O, implant:O, known:O, as:O, SHIRIME:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This vulnerability was found in a document named Trump's_Attack_on_Syria_English.docx” .' [/INST] [This:O, vulnerability:O, was:O, found:O, in:O, a:O, document:B-SamFile, named:O, Trump's_Attack_on_Syria_English.docx”: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 first , st07383.en17.docx , continues by utilizing 32 or 64 bit versions of CVE-2017-0001 to escalate privileges before executing a final JavaScript payload containing a malware implant known as SHIRIME .' [/INST] [The:O, first:O, ,:O, st07383.en17.docx:B-SamFile, ,:O, continues:O, by:O, utilizing:O, 32:O, or:O, 64:O, bit:O, versions:O, of:O, CVE-2017-0001:B-Exp, to:O, escalate:O, privileges:O, before:O, executing:O, a:O, final:O, JavaScript:O, payload:O, containing:O, a:O, malware:O, implant:O, known:O, as:O, SHIRIME:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This vulnerability was found in a document named Trump's_Attack_on_Syria_English.docx” .' [/INST] [This:O, vulnerability:O, was:O, found:O, in:O, a:O, document:B-SamFile, named:O, Trump's_Attack_on_Syria_English.docx”: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 all emails sent to these government officials , the actor used the same attachment : a malicious Microsoft Word document that exploited the CVE-2012-0158 vulnerability to drop a malicious payload .' [/INST] [In:O, all:O, emails:B-Way, sent:O, to:O, these:O, government:B-Org, officials:I-Org, ,:O, the:O, actor:O, used:O, the:O, same:O, attachment:O, ::O, a:O, malicious:B-SamFile, Microsoft:I-SamFile, Word:I-SamFile, document:I-SamFile, that:O, exploited:O, the:O, CVE-2012-0158:B-Exp, vulnerability:O, to:O, drop: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: 'Despite being an older vulnerability , many threat actors continue to leverage CVE-2012-0158 to exploit Microsoft Word .' [/INST] [Despite:O, being:O, an:O, older:O, vulnerability:O, ,:O, many:O, threat:O, actors:O, continue:O, to:O, leverage:O, CVE-2012-0158:B-Exp, to:O, exploit:O, Microsoft:B-SamFile, Word:I-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '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: '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: '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: '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: '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: '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: '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: 'The attackers stole organizations' SSL certificates associated with security appliances such as ASA to obtain VPN credentials , allowing the actors to gain access to the targeted network .' [/INST] [The:O, attackers:B-HackOrg, stole:B-Purp, organizations':I-Purp, SSL:I-Purp, certificates:O, associated:O, with:O, security:O, appliances:O, such:O, as:O, ASA:B-Tool, to:O, obtain:O, VPN:O, credentials:O, ,:O, allowing:O, the:O, actors:O, to:O, gain:O, access:O, to:O, the:O, targeted:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'More importantly , one of these files also enables the download of TeamViewer , a remote access tool that gives threat actors remote control over the system .' [/INST] [More:O, importantly:O, ,:O, one:O, of:O, these:O, files:O, also:O, enables:O, the:O, download:B-Way, of:O, TeamViewer:B-Tool, ,:O, a:O, remote:O, access:O, tool:O, that:O, gives:O, threat:B-HackOrg, actors:I-HackOrg, remote:B-Purp, control:O, over:O, the: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: 'The agency's hacking division freed it from having to disclose its often controversial operations to the NSA (its primary bureaucratic rival) in order to draw on the NSA's hacking capacities .' [/INST] [The:O, agency's:O, hacking:B-HackOrg, division:I-HackOrg, freed:O, it:O, from:O, having:O, to:O, disclose:O, its:O, often:O, controversial:O, operations:O, to:O, the:O, NSA:B-Org, (its:O, primary:O, bureaucratic:O, rival):O, in:O, order:O, to:O, draw:B-Purp, on:I-Purp, the:O, NSA's:O, hacking:O, capacities: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: 'After infestation , Weeping Angel places the target TV in a 'Fake-Off' mode , so that the owner falsely believes the TV is off when it is on .' [/INST] [After:O, infestation:O, ,:O, Weeping:B-HackOrg, Angel:I-HackOrg, places:O, the:O, target:O, TV:B-Purp, in:O, a:O, 'Fake-Off':O, mode:O, ,:O, so:O, that:O, the:O, owner:O, falsely:O, believes:O, the:O, TV:O, is:O, off:O, when:O, it:O, is:O, on: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 CIA's Mobile Devices Branch (MDB) developed numerous attacks to remotely hack and control popular smart phones .' [/INST] [The:O, CIA's:B-HackOrg, Mobile:O, Devices:O, Branch:O, (MDB):O, developed:O, numerous:O, attacks:O, to:O, remotely:O, hack:B-Purp, and:O, control:B-Purp, popular:O, smart:O, phones: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 techniques permit the CIA to bypass the encryption of WhatsApp , Signal , Telegram , Wiebo , Confide and Cloackman by hacking the smart phones that they run on and collecting audio and message traffic before encryption is applied .' [/INST] [These:O, techniques:O, permit:O, the:O, CIA:B-HackOrg, to:O, bypass:O, the:O, encryption:O, of:O, WhatsApp:O, ,:O, Signal:O, ,:O, Telegram:O, ,:O, Wiebo:O, ,:O, Confide:O, and:O, Cloackman:O, by:O, hacking:O, the:O, smart:O, phones:O, that:O, they:O, run:O, on:O, and:O, collecting:B-Purp, audio:I-Purp, and:O, message:B-Purp, traffic:I-Purp, before:O, encryption:O, is:O, applied: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 CIA also runs a very substantial effort to infect and control Microsoft Windows users with its malware .' [/INST] [The:O, CIA:B-HackOrg, also:O, runs:O, a:O, very:O, substantial:O, effort:O, to:O, infect:O, and:O, control:B-Purp, Microsoft:I-Purp, Windows:I-Purp, users:O, with:O, its:O, malware: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 an example , specific CIA malware revealed in Year Zero is able to penetrate , infest and control both the Android phone and iPhone software that runs or has run presidential Twitter accounts .' [/INST] [As:O, an:O, example:O, ,:O, specific:O, CIA:B-HackOrg, malware:B-Tool, revealed:O, in:O, Year:O, Zero:O, is:O, able:O, to:O, penetrate:O, ,:O, infest:B-Purp, and:I-Purp, control:I-Purp, both:O, the:O, Android:O, phone:O, and:O, iPhone:O, software:O, that:O, runs:O, or:O, has:O, run:O, presidential:O, Twitter:O, accounts: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 assess with high confidence that these incidents were conducted by APT10 also known as Stone Panda , menuPass , CVNX in an effort to gain access to networks and steal valuable intellectual property or gain commercial advantage .' [/INST] [we:O, assess:O, with:O, high:O, confidence:O, that:O, these:O, incidents:O, were:O, conducted:O, by:O, APT10:B-HackOrg, also:O, known:O, as:O, Stone:B-HackOrg, Panda:I-HackOrg, ,:O, menuPass:B-HackOrg, ,:O, CVNX:B-HackOrg, in:O, an:O, effort:O, to:O, gain:B-Purp, access:I-Purp, to:O, networks:O, and:O, steal:B-Purp, valuable:I-Purp, intellectual:O, property:O, or:O, gain:B-Purp, commercial:I-Purp, advantage: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: 'Utilizing actors working for shell companies such as Huaying Haitai Science and Technology Development Co Ltd , the MSS has conducted an unprecedented campaign , dubbed Operation Cloud Hopper , ” against managed IT service providers (MSPs) designed to steal intellectual property and enable secondary attacks against their clients .' [/INST] [Utilizing:O, actors:O, working:O, for:O, shell:O, companies:O, such:O, as:O, Huaying:O, Haitai:O, Science:O, and:O, Technology:O, Development:O, Co:O, Ltd:O, ,:O, the:O, MSS:B-HackOrg, has:O, conducted:O, an:O, unprecedented:O, campaign:O, ,:O, dubbed:O, Operation:O, Cloud:O, Hopper:O, ,:O, ”:O, against:O, managed:O, IT:O, service:O, providers:O, (MSPs):O, designed:O, to:O, steal:B-Purp, intellectual:I-Purp, property:I-Purp, and:O, enable:O, secondary:O, attacks:O, against:O, their:O, clients: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 assess that APT10 likely compromised Visma with the primary goal of enabling secondary intrusions onto their client networks , and not of stealing Visma intellectual property .' [/INST] [We:O, assess:O, that:O, APT10:B-HackOrg, likely:O, compromised:O, Visma:O, with:O, the:O, primary:O, goal:O, of:O, enabling:B-Purp, secondary:I-Purp, intrusions:I-Purp, onto:O, their:O, client:O, networks:O, ,:O, and:O, not:O, of:O, stealing:O, Visma:O, intellectual:O, property: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 same time frame , APT10 also targeted a U.S. law firm and an international apparel company , likely to gather information for commercial advantage .' [/INST] [In:O, this:O, same:O, time:O, frame:O, ,:O, APT10:B-HackOrg, also:O, targeted:O, a:O, U.S.:B-Idus, law:I-Idus, firm:I-Idus, and:O, an:O, international:O, apparel:B-Idus, company:I-Idus, ,:O, likely:O, to:O, gather:B-Purp, information:I-Purp, for:O, commercial:O, advantage: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: 'Access to the networks of these third-party service providers grants the MSS the ability to potentially access the networks of hundreds , if not thousands , of corporations around the world .' [/INST] [Access:O, to:O, the:O, networks:O, of:O, these:O, third-party:O, service:O, providers:O, grants:O, the:O, MSS:B-HackOrg, the:O, ability:O, to:O, potentially:O, access:B-Purp, the:I-Purp, networks:I-Purp, of:O, hundreds:O, ,:O, if:O, not:O, thousands:O, ,:O, of:O, corporations:O, around:O, the:O, world:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In all three incidents , the attackers gained access to networks through deployments of Citrix and LogMeIn remote-access software using stolen valid user credentials .' [/INST] [In:O, all:O, three:O, incidents:O, ,:O, the:O, attackers:B-HackOrg, gained:O, access:B-Purp, to:I-Purp, networks:I-Purp, through:O, deployments:O, of:O, Citrix:O, and:O, LogMeIn:O, remote-access:O, software:O, using:O, stolen:B-Way, valid:O, user:O, credentials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In early 2017 , APT10 began conducting attacks against global managed IT service providers (MSPs) that granted them unprecedented access to MSPs and their customers’ networks .' [/INST] [In:O, early:O, 2017:B-Time, ,:O, APT10:B-HackOrg, began:O, conducting:O, attacks:O, against:O, global:O, managed:O, IT:B-Idus, service:I-Idus, providers:O, (MSPs):B-Org, that:O, granted:O, them:O, unprecedented:O, access:O, to:O, MSPs:O, and:O, their:O, customers’:B-Purp, networks: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: 'This was followed by an initial exploitation , network enumeration , and malicious tool deployment on various Visma endpoints within two weeks of initial access .' [/INST] [This:O, was:O, followed:O, by:O, an:O, initial:B-Purp, exploitation:I-Purp, ,:O, network:B-Purp, enumeration:I-Purp, ,:O, and:O, malicious:B-Purp, tool:I-Purp, deployment:O, on:O, various:O, Visma:B-Tool, endpoints:I-Tool, within:O, two:O, weeks:O, of:O, initial:O, access: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: 'They also used WinRAR and cURL for Windows , both often renamed , to compress and upload the exfiltrated files from the Visma network to the Dropbox API .' [/INST] [They:O, also:O, used:O, WinRAR:O, and:O, cURL:O, for:O, Windows:O, ,:O, both:O, often:O, renamed:O, ,:O, to:O, compress:O, and:O, upload:B-Purp, the:O, exfiltrated:O, files:O, from:O, the:O, Visma:B-Tool, network:O, to:O, the:O, Dropbox:B-Tool, API: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 attacker gained access to the victim’s internet-accessible Citrix systems and authenticated to them from networks associated with low-cost VPN providers owned by VPN Consumer Network .' [/INST] [The:O, attacker:B-HackOrg, gained:B-Purp, access:I-Purp, to:O, the:O, victim’s:O, internet-accessible:O, Citrix:B-Tool, systems:O, and:O, authenticated:O, to:O, them:O, from:O, networks:O, associated:O, with:O, low-cost:O, VPN:O, providers:O, owned:O, by:O, VPN:O, Consumer:O, Network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attackers used the same method of lateral movement by mounting the remote drive on a system , copying 1.bat to it , using task scheduler to execute the batch script , and finally , deleting the batch script .' [/INST] [The:O, attackers:B-HackOrg, used:O, the:O, same:O, method:O, of:O, lateral:O, movement:O, by:O, mounting:O, the:O, remote:B-Purp, drive:I-Purp, on:O, a:O, system:O, ,:O, copying:O, 1.bat:B-Tool, to:O, it:O, ,:O, using:O, task:O, scheduler:O, to:O, execute:O, the:O, batch:O, script:O, ,:O, and:O, finally:O, ,:O, deleting:O, the:O, batch:O, script: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: 'APT10's unprecedented campaign against MSPs , alleged to have included some of the largest MSPs in the world , in order to conduct secondary attacks against their clients , grants the Chinese state the ability to potentially access the networks of hundreds (if not thousands) of corporations around the world .' [/INST] [APT10's:B-HackOrg, unprecedented:O, campaign:O, against:O, MSPs:B-Org, ,:O, alleged:O, to:O, have:O, included:O, some:O, of:O, the:O, largest:O, MSPs:O, in:O, the:O, world:O, ,:O, in:O, order:O, to:O, conduct:B-Purp, secondary:O, attacks:O, against:O, their:O, clients:O, ,:O, grants:B-Purp, the:O, Chinese:O, state:O, the:O, ability:O, to:O, potentially:O, access:O, the:O, networks:O, of:O, hundreds:O, (if:O, not:O, thousands):O, of:O, corporations:O, around:O, the:O, world:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware basically provides a remote CMD/PowerShell terminal for the attackers , enabling them to execute scripts/commands and receive the results via HTTP requests .' [/INST] [The:O, malware:B-SamFile, basically:O, provides:B-Features, a:O, remote:O, CMD/PowerShell:B-Tool, terminal:O, for:O, the:O, attackers:B-HackOrg, ,:O, enabling:O, them:O, to:O, execute:B-Purp, scripts/commands:I-Purp, and:O, receive:O, the:O, results:O, via:O, HTTP:O, requests: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: 'What lied beneath this facade was a well-engineered campaign of phishing attacks designed to steal credentials and spy on the activity of dozens of journalists , human rights defenders , trade unions and labour rights activists , many of whom are seemingly involved in the issue of migrants’ rights in Qatar and Nepal .' [/INST] [What:O, lied:O, beneath:O, this:O, facade:O, was:O, a:O, well-engineered:O, campaign:O, of:O, phishing:O, attacks:O, designed:O, to:O, steal:B-Purp, credentials:I-Purp, and:O, spy:O, on:O, the:O, activity:O, of:O, dozens:O, of:O, journalists:O, ,:O, human:B-Purp, rights:I-Purp, defenders:I-Purp, ,:O, trade:B-Purp, unions:I-Purp, and:O, labour:O, rights:O, activists:O, ,:O, many:O, of:O, whom:O, are:O, seemingly:O, involved:O, in:O, the:O, issue:O, of:O, migrants’:O, rights:O, in:O, Qatar:O, and:O, Nepal: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 appears that the attackers may have impersonated the identity of a real young woman and stole her pictures to construct the fake profile , along with a professional biography also stolen from yet another person .' [/INST] [It:O, appears:O, that:O, the:O, attackers:B-HackOrg, may:O, have:O, impersonated:O, the:O, identity:O, of:O, a:O, real:O, young:O, woman:O, and:O, stole:B-Purp, her:I-Purp, pictures:I-Purp, to:O, construct:B-Purp, the:I-Purp, fake:I-Purp, profile:I-Purp, ,:O, along:O, with:O, a:O, professional:O, biography:O, also:O, stolen:O, from:O, yet:O, another:O, person: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: 'Dubbed ‘Operation Sheep’ , this massive data stealing campaign is the first known campaign seen in the wild to exploit the Man-in-the-Disk vulnerability revealed by Check Point Research earlier last year .' [/INST] [Dubbed:O, ‘Operation:B-HackOrg, Sheep’:I-HackOrg, ,:O, this:O, massive:B-Purp, data:I-Purp, stealing:I-Purp, campaign:O, is:O, the:O, first:O, known:O, campaign:O, seen:O, in:O, the:O, wild:O, to:O, exploit:O, the:O, Man-in-the-Disk:B-Exp, vulnerability:O, revealed:O, by:O, Check:O, Point:O, Research:O, earlier:O, last:O, year: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 theory , Shun Wang Technologies could have collected a third of China’s population names and contact numbers if not more .' [/INST] [In:O, theory:O, ,:O, Shun:B-HackOrg, Wang:I-HackOrg, Technologies:O, could:O, have:O, collected:B-Purp, a:O, third:O, of:O, China’s:B-Area, population:O, names:O, and:O, contact:O, numbers:O, if:O, not:O, more: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: 'With no clear declaration of usage from Shun Wang , nor proper regulatory supervision , such data could circulate into underground markets for further exploit , ranging from rogue marketing , targeted telephone scams or even friend referral program abuse during November’s Single’s Day and December’s Asian online shopping fest .' [/INST] [With:O, no:O, clear:O, declaration:O, of:O, usage:O, from:O, Shun:B-HackOrg, Wang:I-HackOrg, ,:O, nor:O, proper:O, regulatory:O, supervision:O, ,:O, such:O, data:O, could:O, circulate:O, into:O, underground:O, markets:O, for:O, further:O, exploit:O, ,:O, ranging:O, from:O, rogue:O, marketing:O, ,:O, targeted:O, telephone:B-Purp, scams:I-Purp, or:O, even:O, friend:O, referral:O, program:B-Purp, abuse:I-Purp, during:O, November’s:O, Single’s:O, Day:O, and:O, December’s:O, Asian:O, online:O, shopping:O, fest: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 Operation Sheep’s case , Shun Wang likely harvests end user contact lists without application developer acknowledgement .' [/INST] [In:O, Operation:O, Sheep’s:O, case:O, ,:O, Shun:B-HackOrg, Wang:I-HackOrg, likely:O, harvests:B-Purp, end:O, user:O, contact:O, lists:O, without:O, application:O, developer:O, acknowledgement: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: 'APT41 has executed multiple software supply chain compromises , gaining access to software companies to inject malicious code into legitimate files before distributing updates .' [/INST] [APT41:B-HackOrg, has:O, executed:B-OffAct, multiple:I-OffAct, software:I-OffAct, supply:O, chain:O, compromises:O, ,:O, gaining:O, access:O, to:O, software:O, companies:O, to:O, inject:B-Purp, malicious:I-Purp, code:I-Purp, into:O, legitimate:O, files:O, before:O, distributing:O, updates: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: 'Learning to access video game production environments enabled APT41 to develop the tactics , techniques , and procedures (TTPs) that were later leveraged against software companies to inject malicious code into software updates .' [/INST] [Learning:O, to:O, access:O, video:O, game:O, production:O, environments:O, enabled:O, APT41:B-HackOrg, to:O, develop:O, the:O, tactics:O, ,:O, techniques:O, ,:O, and:O, procedures:O, (TTPs):O, that:O, were:O, later:O, leveraged:O, against:O, software:O, companies:O, to:O, inject:B-Purp, malicious:I-Purp, code:I-Purp, into:O, software:O, updates: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 like other Chinese espionage operators , APT41 has moved toward strategic intelligence collection and establishing access , but away from direct intellectual property theft .' [/INST] [We:O, believe:O, that:O, like:O, other:O, Chinese:O, espionage:O, operators:O, ,:O, APT41:B-HackOrg, has:O, moved:O, toward:O, strategic:B-Purp, intelligence:I-Purp, collection:I-Purp, and:O, establishing:B-Purp, access:I-Purp, ,:O, but:O, away:O, from:O, direct:O, intellectual:O, property:O, theft: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 June 2018 , APT41 sent spear-phishing emails using an invitation lure to join a decentralized gaming platform linked to a cryptocurrency service (Figure 5) that had positioned itself as a medium of exchange for online games and gambling sites .' [/INST] [In:O, June:B-Time, 2018:I-Time, ,:O, APT41:B-HackOrg, sent:O, spear-phishing:B-Way, emails:O, using:O, an:O, invitation:O, lure:O, to:O, join:O, a:O, decentralized:B-Purp, gaming:I-Purp, platform:I-Purp, linked:O, to:O, a:O, cryptocurrency:O, service:O, (Figure:O, 5):O, that:O, had:O, positioned:O, itself:O, as:O, a:O, medium:O, of:O, exchange:O, for:O, online:O, games:O, and:O, gambling:O, sites:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We suggest that APT41 sought to target in-game currency but found they could not monetize the specific targeted game , so the group resorted to ransomware to attempt to salvage their efforts and profit from the compromise .' [/INST] [We:O, suggest:O, that:O, APT41:B-HackOrg, sought:O, to:O, target:O, in-game:O, currency:O, but:O, found:O, they:O, could:O, not:O, monetize:O, the:O, specific:O, targeted:O, game:O, ,:O, so:O, the:O, group:O, resorted:B-Way, to:I-Way, ransomware:I-Way, to:O, attempt:O, to:O, salvage:B-Purp, their:I-Purp, efforts:I-Purp, and:O, profit:B-Purp, from:O, the:O, compromise:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to the aforementioned post-exploitation tools , the actors used these webshells to upload legitimate executables that they would use DLL sideloading to run a malicious DLL that has code overlaps with known Emissary Panda attacks .' [/INST] [In:O, addition:O, to:O, the:O, aforementioned:O, post-exploitation:O, tools:O, ,:O, the:O, actors:O, used:O, these:O, webshells:O, to:O, upload:O, legitimate:O, executables:O, that:O, they:O, would:O, use:O, DLL:O, sideloading:O, to:O, run:B-Way, a:I-Way, malicious:I-Way, DLL:I-Way, that:O, has:O, code:O, overlaps:O, with:O, known:O, Emissary:B-HackOrg, Panda:I-HackOrg, attacks: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 April 2019 , several national security organizations released alerts on CVE-2019-0604 exploitation , including the Saudi Arabian National Cyber Security Center and the Canadian Center for Cyber Security .' [/INST] [In:O, April:B-Time, 2019:I-Time, ,:O, several:O, national:O, security:O, organizations:O, released:O, alerts:O, on:O, CVE-2019-0604:B-Exp, exploitation:O, ,:O, including:O, the:O, Saudi:B-Area, Arabian:I-Area, National:O, Cyber:B-SecTeam, Security:I-SecTeam, Center:I-SecTeam, and:O, the:O, Canadian:B-SecTeam, Center:I-SecTeam, for:O, Cyber:O, Security: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: 'Both of these alerts discussed campaigns in which actors used the CVE-2019-0604 to exploit SharePoint servers to install the China Chopper webshell .' [/INST] [Both:O, of:O, these:O, alerts:O, discussed:O, campaigns:O, in:O, which:O, actors:B-HackOrg, used:O, the:O, CVE-2019-0604:B-Exp, to:O, exploit:O, SharePoint:O, servers:O, to:O, install:O, the:O, China:B-Tool, Chopper:I-Tool, webshell: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 other overlapping files are tools used by the adversary to locate other systems on the network (etool.exe) , check to see if they are vulnerable to CVE-2017-0144 (EternalBlue) patched in MS07-010 (checker1.exe) and pivot to them using remote execution functionality offered by a tool similar to PsExec offered by Impacket (psexec.exe) .' [/INST] [The:O, other:O, overlapping:O, files:O, are:O, tools:O, used:O, by:O, the:O, adversary:O, to:O, locate:O, other:O, systems:O, on:O, the:O, network:O, (etool.exe):O, ,:O, check:O, to:O, see:O, if:O, they:O, are:O, vulnerable:O, to:O, CVE-2017-0144:B-Exp, (EternalBlue):O, patched:O, in:O, MS07-010:B-SamFile, (checker1.exe):O, and:O, pivot:O, to:O, them:O, using:O, remote:O, execution:O, functionality:O, offered:O, by:O, a:O, tool:O, similar:O, to:O, PsExec:B-SamFile, offered:O, by:O, Impacket:O, (psexec.exe):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 Emissary Panda threat group loaded the China Chopper webshell onto SharePoint servers at two Government organizations in the Middle East , which we believe with high confidence involved exploiting a remote code execution vulnerability in SharePoint tracked in CVE-2019-0604 .' [/INST] [The:O, Emissary:B-HackOrg, Panda:I-HackOrg, threat:O, group:O, loaded:O, the:O, China:B-Tool, Chopper:I-Tool, webshell:O, onto:O, SharePoint:O, servers:O, at:O, two:O, Government:O, organizations:O, in:O, the:O, Middle:B-Area, East:I-Area, ,:O, which:O, we:O, believe:O, with:O, high:O, confidence:O, involved:O, exploiting:O, a:O, remote:O, code:O, execution:O, vulnerability:O, in:O, SharePoint:O, tracked:O, in:O, CVE-2019-0604: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 files uploaded to this webshell included the same compiled python script that would scan remote systems that were vulnerable to CVE-2017-0144 (EternalBlue) that we saw uploaded to the other errr.aspx webshell .' [/INST] [The:O, files:O, uploaded:O, to:O, this:O, webshell:O, included:O, the:O, same:O, compiled:O, python:B-Tool, script:I-Tool, that:O, would:O, scan:O, remote:O, systems:O, that:O, were:O, vulnerable:O, to:O, CVE-2017-0144:B-Exp, (EternalBlue):O, that:O, we:O, saw:O, uploaded:O, to:O, the:O, other:O, errr.aspx:B-SamFile, webshell: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 the actors pivoted to other systems on the network using stolen credentials and by exploiting the CVE-2017-0144 (EternalBlue) vulnerability patched in MS17-010 .' [/INST] [We:O, believe:O, the:O, actors:B-HackOrg, pivoted:O, to:O, other:O, systems:O, on:O, the:O, network:O, using:O, stolen:B-OffAct, credentials:I-OffAct, and:O, by:O, exploiting:O, the:O, CVE-2017-0144:B-Exp, (EternalBlue):O, vulnerability:O, patched:O, in:O, MS17-010:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To deliver their malware , the cyber criminals use spearphishing emails with various types of attachments: MS Office documents or spreadsheet files exploiting some known vulnerability like CVE-2017-11882 , or documents with Ole2Link and SCT .' [/INST] [To:O, deliver:O, their:O, malware:O, ,:O, the:O, cyber:B-HackOrg, criminals:I-HackOrg, use:O, spearphishing:B-Tool, emails:I-Tool, with:O, various:O, types:O, of:O, attachments::B-Tool, MS:O, Office:O, documents:B-Tool, or:O, spreadsheet:O, files:O, exploiting:O, some:O, known:O, vulnerability:O, like:O, CVE-2017-11882:B-Exp, ,:O, or:O, documents:B-Tool, with:O, Ole2Link:O, and:O, SCT: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 activity ceased in February 2016 , likely because the men who made up Scattered Canary began to focus on honing their BEC total , Scattered Canary received more than 3 , 000 account credentials as a result of their phishing attacks .' [/INST] [This:O, activity:O, ceased:O, in:O, February:B-Time, 2016:I-Time, ,:O, likely:O, because:O, the:O, men:O, who:O, made:O, up:O, Scattered:B-HackOrg, Canary:I-HackOrg, began:O, to:O, focus:O, on:O, honing:O, their:O, BEC:O, total:O, ,:O, Scattered:B-HackOrg, Canary:I-HackOrg, received:O, more:O, than:O, 3:O, ,:O, 000:O, account:O, credentials:O, as:O, a:O, result:O, of:O, their:O, phishing:B-Exp, attacks: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 past iteration of SLUB spread from a unique watering hole website exploiting CVE-2018-8174 , a VBScript engine vulnerability .' [/INST] [The:O, past:O, iteration:O, of:O, SLUB:B-HackOrg, spread:O, from:O, a:O, unique:O, watering:B-Way, hole:I-Way, website:O, exploiting:O, CVE-2018-8174:B-Exp, ,:O, a:O, VBScript:O, engine:O, 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: 'This malicious site used CVE-2019-0752 , an Internet Explorer vulnerability discovered by Trend Micro’s Zero Day Initiative (ZDI) that was just patched this April .' [/INST] [This:O, malicious:O, site:O, used:O, CVE-2019-0752:B-Exp, ,:O, an:O, Internet:O, Explorer:O, vulnerability:O, discovered:O, by:O, Trend:B-SecTeam, Micro’s:I-SecTeam, Zero:O, Day:O, Initiative:O, (ZDI):O, that:O, was:O, just:O, patched:O, this: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: 'The SLUB malware was delivered through watering hole websites that were injected with exploits for CVE-2018-8174 or CVE-2019-0752 .' [/INST] [The:O, SLUB:B-HackOrg, malware:O, was:O, delivered:O, through:O, watering:O, hole:O, websites:O, that:O, were:O, injected:O, with:O, exploits:O, for:O, CVE-2018-8174:B-Exp, or:O, CVE-2019-0752: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 May 2018 , campaigns being conducted by SWEED began leveraging another vulnerability in Microsoft Office: CVE-2017-11882 , a remote code execution bug in Microsoft Office that is commonly observed being leveraged in malicious documents used in commodity malware distribution .' [/INST] [In:O, May:B-Time, 2018:I-Time, ,:O, campaigns:O, being:O, conducted:O, by:O, SWEED:B-HackOrg, began:O, leveraging:O, another:O, vulnerability:O, in:O, Microsoft:O, Office::O, CVE-2017-11882:B-Exp, ,:O, a:O, remote:O, code:O, execution:O, bug:O, in:O, Microsoft:O, Office:O, that:O, is:O, commonly:O, observed:O, being:O, leveraged:O, in:O, malicious:O, documents:O, used:O, in:O, commodity:O, malware:O, distribution: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: 'Code contained inside one of the slides triggers an exploit for CVE-2017-8759 , a remote code execution vulnerability in Microsoft .NET framework .' [/INST] [Code:O, contained:O, inside:O, one:O, of:O, the:O, slides:B-SamFile, triggers:O, an:O, exploit:O, for:O, CVE-2017-8759:B-Exp, ,:O, a:O, remote:O, code:O, execution:O, vulnerability:O, in:O, Microsoft:B-Tool, .NET:I-Tool, framework: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: 'Zebrocy activity initiates with spearphishing operations delivering various target profilers and downloaders without the use of any 0day exploits .' [/INST] [Zebrocy:B-HackOrg, activity:O, initiates:O, with:O, spearphishing:B-Way, operations:O, delivering:O, various:O, target:O, profilers:O, and:O, downloaders:O, without:O, the:O, use:O, of:O, any:O, 0day:B-Exp, exploits: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: 'On Nov14 , 2017 , FireEye observed APT34 using an exploit for the Microsoft Office vulnerability to target a government organization in the Middle East .' [/INST] [On:O, Nov14:B-Time, ,:O, 2017:B-Time, ,:O, FireEye:B-SecTeam, observed:O, APT34:B-HackOrg, using:O, an:O, exploit:O, for:O, the:O, Microsoft:O, Office:O, vulnerability:B-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: 'Google and Microsoft have already confirmed the Russian hacker group APT28 used a Flash vulnerability CVE-2016-7855 along with this kernel privilege escalation flaw to perform a targeted attack .' [/INST] [Google:B-SecTeam, and:O, Microsoft:B-SecTeam, have:O, already:O, confirmed:O, the:O, Russian:O, hacker:O, group:O, APT28:B-HackOrg, used:O, a:O, Flash:O, vulnerability:O, CVE-2016-7855:B-Exp, along:O, with:O, this:O, kernel:O, privilege:O, escalation:O, flaw:O, to:O, perform:O, a:O, targeted:O, attack: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 first became aware of BlackOasis’ activities in May 2016 , while investigating another Adobe Flash zero day .' [/INST] [Kaspersky:B-SecTeam, first:O, became:O, aware:O, of:O, BlackOasis’:B-HackOrg, activities:O, in:O, May:B-Time, 2016:I-Time, ,:O, while:O, investigating:O, another:O, Adobe:O, Flash:O, zero:B-Exp, day: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: 'Through the exploitation of the HTA handler vulnerability described in CVE-2017-1099 , the observed RTF attachments download .' [/INST] [Through:O, the:O, exploitation:O, of:O, the:O, HTA:O, handler:O, vulnerability:O, described:O, in:O, CVE-2017-1099:B-Exp, ,:O, the:O, observed:O, RTF:B-SamFile, attachments:I-SamFile, download: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 early May , the phishing lures leveraged RTF attachments that exploited the Microsoft Windows vulnerability described in CVE-2017-0199 .' [/INST] [In:O, early:O, May:B-Time, ,:O, the:O, phishing:B-Way, lures:I-Way, leveraged:O, RTF:B-SamFile, attachments:I-SamFile, that:O, exploited:O, the:O, Microsoft:O, Windows:O, vulnerability:O, described:O, in: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: 'As early as March 4 , 2017 , malicious documents exploiting CVE-2017-0199 were used to deliver the LATENTBOT malware .' [/INST] [As:O, early:O, as:O, March:B-Time, 4:I-Time, ,:O, 2017:B-Time, ,:O, malicious:B-SamFile, documents:I-SamFile, exploiting:O, CVE-2017-0199:B-Exp, were:O, used:O, to:O, deliver:O, the:O, LATENTBOT: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: 'The first , st07383.en17.docx , continues by utilizing 32 or 64 bit versions of CVE-2017-0001 to escalate privileges before executing a final JavaScript payload containing a malware implant known as SHIRIME .' [/INST] [The:O, first:O, ,:O, st07383.en17.docx:B-SamFile, ,:O, continues:O, by:O, utilizing:O, 32:O, or:O, 64:O, bit:O, versions:O, of:O, CVE-2017-0001:B-Exp, to:O, escalate:O, privileges:O, before:O, executing:O, a:O, final:O, JavaScript:O, payload:O, containing:O, a:O, malware:O, implant:O, known:O, as:O, SHIRIME:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This vulnerability was found in a document named Trump's_Attack_on_Syria_English.docx” .' [/INST] [This:O, vulnerability:O, was:O, found:O, in:O, a:O, document:B-SamFile, named:O, Trump's_Attack_on_Syria_English.docx”: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 first , st07383.en17.docx , continues by utilizing 32 or 64 bit versions of CVE-2017-0001 to escalate privileges before executing a final JavaScript payload containing a malware implant known as SHIRIME .' [/INST] [The:O, first:O, ,:O, st07383.en17.docx:B-SamFile, ,:O, continues:O, by:O, utilizing:O, 32:O, or:O, 64:O, bit:O, versions:O, of:O, CVE-2017-0001:B-Exp, to:O, escalate:O, privileges:O, before:O, executing:O, a:O, final:O, JavaScript:O, payload:O, containing:O, a:O, malware:O, implant:O, known:O, as:O, SHIRIME:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This vulnerability was found in a document named Trump's_Attack_on_Syria_English.docx” .' [/INST] [This:O, vulnerability:O, was:O, found:O, in:O, a:O, document:B-SamFile, named:O, Trump's_Attack_on_Syria_English.docx”: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 all emails sent to these government officials , the actor used the same attachment : a malicious Microsoft Word document that exploited the CVE-2012-0158 vulnerability to drop a malicious payload .' [/INST] [In:O, all:O, emails:B-Way, sent:O, to:O, these:O, government:O, officials:O, ,:O, the:O, actor:O, used:O, the:O, same:O, attachment:O, ::O, a:O, malicious:B-SamFile, Microsoft:I-SamFile, Word:I-SamFile, document:I-SamFile, that:O, exploited:O, the:O, CVE-2012-0158:B-Exp, vulnerability:O, to:O, drop: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: 'Despite being an older vulnerability , many threat actors continue to leverage CVE-2012-0158 to exploit Microsoft Word .' [/INST] [Despite:O, being:O, an:O, older:O, vulnerability:O, ,:O, many:O, threat:O, actors:O, continue:O, to:O, leverage:O, CVE-2012-0158:B-Exp, to:O, exploit:O, Microsoft:B-SamFile, Word:I-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '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: '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: '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: '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: '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: '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: '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> |