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<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In 2014 , APT32 leveraged a spear-phishing attachment titled , Plans to crackdown on protesters at the Embassy of Vietnam.exe , .' [/INST] [In:O, 2014:B-Time, ,:O, APT32:B-HackOrg, leveraged:O, a:O, spear-phishing:B-Way, attachment:I-Way, titled:O, ,:O, Plans:O, to:O, crackdown:O, on:O, protesters:O, at:O, the:O, Embassy:O, of:O, Vietnam.exe:B-SamFile, ,: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 recently , in May 2017 , APT33 appeared to target a Saudi organization and a South Korean business conglomerate using a malicious file that attempted to entice victims with job vacancies for a Saudi Arabian petrochemical company .' [/INST] [More:O, recently:O, ,:O, in:O, May:B-Time, 2017:I-Time, ,:O, APT33:B-HackOrg, appeared:O, to:O, target:O, a:O, Saudi:B-Area, organization:B-Org, and:O, a:O, South:B-Area, Korean:I-Area, business:B-Org, conglomerate:I-Org, using:O, a:O, malicious:B-SamFile, file:I-SamFile, that:O, attempted:O, to:O, entice:O, victims:O, with:O, job:O, vacancies:O, for:O, a:O, Saudi:B-Area, Arabian:I-Area, petrochemical:B-Org, company:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'More recently , in May 2017 , APT33 appeared to target organizations in Saudi and South Korea using a malicious file that attempted to entice victims with job vacancies .' [/INST] [More:O, recently:O, ,:O, in:O, May:B-Time, 2017:I-Time, ,:O, APT33:B-HackOrg, appeared:O, to:O, target:O, organizations:O, in:O, Saudi:B-Area, and:O, South:B-Area, Korea:I-Area, using:O, a:O, malicious:B-SamFile, file:I-SamFile, that:O, attempted:O, to:O, entice:O, victims:O, with:O, job:O, vacancies:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In fact , REDBALDKNIGHT has been targeting Japan as early as 2008 , based on the file properties of the decoy documents they've been sending to their targets .' [/INST] [In:O, fact:O, ,:O, REDBALDKNIGHT:B-HackOrg, has:O, been:O, targeting:O, Japan:B-Area, as:O, early:O, as:O, 2008:B-Time, ,:O, based:O, on:O, the:O, file:O, properties:O, of:O, the:O, decoy:B-SamFile, documents:I-SamFile, they've:O, been:O, sending:O, to:O, their:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In fact , REDBALDKNIGHT has been zeroing in on Japanese organizations as early as 2008 — at least based on the file properties of the decoy documents they've been sending to their targets .' [/INST] [In:O, fact:O, ,:O, REDBALDKNIGHT:B-HackOrg, has:O, been:O, zeroing:O, in:O, on:O, Japanese:B-Area, organizations:O, as:O, early:O, as:O, 2008:B-Time, —:O, at:O, least:O, based:O, on:O, the:O, file:O, properties:O, of:O, the:O, decoy:B-SamFile, documents:I-SamFile, they've:O, been:O, sending:O, to:O, their:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Carbanak is a backdoor used by the attackers to compromise the victim .' [/INST] [Carbanak:B-SamFile, is:O, a:O, backdoor:B-Tool, used:O, by:O, the:O, attackers:B-HackOrg, to:O, compromise:O, the:O, victim:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '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: 'The Korean-language Word document manual.doc appeared in Vietnam on January 17 , with the original author name of Honeybee .' [/INST] [The:O, Korean-language:O, Word:B-Tool, document:I-Tool, manual.doc:B-SamFile, appeared:O, in:O, Vietnam:B-Area, on:O, January:B-Time, 17:I-Time, ,:O, with:O, the:O, original:O, author:O, name:O, of:O, Honeybee:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This malicious document contains a Visual Basic macro that dropped and executed an upgraded version of the implant known as SYSCON , which appeared in 2017 in malicious Word documents as part of several campaigns using North Korea–related topics .' [/INST] [This:O, malicious:O, document:O, contains:O, a:O, Visual:B-Way, Basic:I-Way, macro:I-Way, that:O, dropped:O, and:O, executed:O, an:O, upgraded:O, version:O, of:O, the:O, implant:O, known:O, as:O, SYSCON:B-Tool, ,:O, which:O, appeared:O, in:O, 2017:B-Time, in:O, malicious:B-SamFile, Word:I-SamFile, documents:I-SamFile, as:O, part:O, of:O, several:O, campaigns:B-OffAct, using:O, North:B-Area, Korea–related:O, topics: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: '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: 'For example , DeltaAlfa specifies a DDoS bot family identified as Alfa .' [/INST] [For:O, example:O, ,:O, DeltaAlfa:B-SamFile, specifies:O, a:O, DDoS:B-Tool, bot:I-Tool, family:O, identified:O, as:O, Alfa: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 alert 's IOC files provide HIDDEN COBRA indicators related to FALLCHILL .' [/INST] [This:O, alert:O, 's:O, IOC:B-SamFile, files:I-SamFile, provide:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, indicators:O, related:O, to:O, FALLCHILL:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The McAfee Advanced Threat Research team discovered a previously unknown data-gathering implant that surfaced in mid-February 2018 .' [/INST] [The:O, McAfee:B-SecTeam, Advanced:I-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, team:O, discovered:O, a:O, previously:O, unknown:O, data-gathering:B-SamFile, implant:I-SamFile, that:O, surfaced:O, in:O, mid-February:B-Time, 2018:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 alert 's IOC files provide HIDDEN COBRA indicators related to FALLCHILL .' [/INST] [This:O, alert:O, 's:O, IOC:B-SamFile, files:I-SamFile, provide:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, indicators:O, related:O, to:O, FALLCHILL:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The McAfee Advanced Threat Research team discovered a previously unknown data-gathering implant that surfaced in mid-February 2018 .' [/INST] [The:O, McAfee:B-SecTeam, Advanced:I-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, team:O, discovered:O, a:O, previously:O, unknown:O, data-gathering:B-SamFile, implant:I-SamFile, that:O, surfaced:O, in:O, mid-February:B-Time, 2018:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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: 'This malware report contains analysis of one 32-bit Windows executable file , identified as a Remote Access Trojan ( RAT ) .' [/INST] [This:O, malware:O, report:O, contains:O, analysis:O, of:O, one:O, 32-bit:B-SamFile, Windows:I-SamFile, executable:I-SamFile, file:I-SamFile, ,:O, identified:O, as:O, a:O, Remote:B-Tool, Access:I-Tool, Trojan:I-Tool, (:O, RAT:B-Tool, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In one of the samples received for analysis , the US-CERT Code Analysis Team observed botnet controller functionality .' [/INST] [In:O, one:O, of:O, the:O, samples:O, received:O, for:O, analysis:O, ,:O, the:O, US-CERT:B-SecTeam, Code:I-SecTeam, Analysis:I-SecTeam, Team:I-SecTeam, observed:O, botnet:B-SamFile, controller:I-SamFile, functionality:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Volgmer payloads have been observed in 32-bit form as either executables or dynamic-link library ( .dll )' [/INST] [Volgmer:B-Tool, payloads:O, have:O, been:O, observed:O, in:O, 32-bit:O, form:O, as:O, either:O, executables:O, or:O, dynamic-link:O, library:O, (:O, .dll:B-SamFile, ):O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trend Micro endpoint solutions such as Trend Micro™ Smart Protection Suites and Worry-Free™ Business Security can protect users and businesses from these threats by detecting malicious files and spammed messages as well as blocking all related malicious URLs .' [/INST] [Trend:B-SecTeam, Micro:I-SecTeam, endpoint:O, solutions:O, such:O, as:O, Trend:B-SecTeam, Micro™:I-SecTeam, Smart:I-SecTeam, Protection:I-SecTeam, Suites:I-SecTeam, and:O, Worry-Free™:B-SecTeam, Business:I-SecTeam, Security:I-SecTeam, can:O, protect:O, users:O, and:O, businesses:B-Idus, from:O, these:O, threats:O, by:O, detecting:O, malicious:B-SamFile, files:I-SamFile, and:O, spammed:O, messages:O, as:O, well:O, as:O, blocking:O, all:O, related:O, malicious:O, URLs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'WannaCry appends encrypted data files with the .WCRY extension , drops and executes a decryptor tool , and demands $300 or $600 USD ( via Bitcoin ) to decrypt the data .' [/INST] [WannaCry:B-Tool, appends:O, encrypted:O, data:O, files:O, with:O, the:O, .WCRY:B-SamFile, extension:O, ,:O, drops:B-Features, and:I-Features, executes:I-Features, a:I-Features, decryptor:I-Features, tool:I-Features, ,:O, and:O, demands:O, $300:O, or:O, $600:O, USD:O, (:O, via:O, Bitcoin:O, ):O, to:O, decrypt:O, the:O, data:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Leviathan also occasionally used macro-laden Microsoft Word documents to target other US research and development organizations during this period .' [/INST] [The:O, Leviathan:B-HackOrg, also:O, occasionally:O, used:O, macro-laden:B-SamFile, Microsoft:I-SamFile, Word:I-SamFile, documents:I-SamFile, to:O, target:O, other:O, US:B-Area, research:O, and:O, development:B-Org, organizations:I-Org, during:O, this:O, period: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 download name was , Zawgyi_Keyboard_L.zip , , and it dropped a , setup.exe , that contained several backdoor components , including an Elise , wincex.dll , ( a42c966e26f3577534d03248551232f3 , detected as Backdoor.Win32.Agent.delp ) .' [/INST] [The:O, download:O, name:O, was:O, ,:O, Zawgyi_Keyboard_L.zip:B-SamFile, ,:O, ,:O, and:O, it:O, dropped:O, a:O, ,:O, setup.exe:B-SamFile, ,:O, that:O, contained:O, several:O, backdoor:O, components:O, ,:O, including:O, an:O, Elise:B-Tool, ,:O, wincex.dll:B-SamFile, ,:O, (:O, a42c966e26f3577534d03248551232f3:O, ,:O, detected:O, as:O, Backdoor.Win32.Agent.delp: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: '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: 'To set up persistence , the loader writes a file to , c:\temp\rr.exe , and executes it with specific command line arguments to create auto run registry keys .' [/INST] [To:O, set:O, up:O, persistence:O, ,:O, the:O, loader:O, writes:O, a:O, file:O, to:O, ,:O, c:\temp\rr.exe:B-SamFile, ,:O, and:O, executes:O, it:O, with:O, specific:O, command:O, line:O, arguments:O, to:O, create:B-Features, auto:I-Features, run:I-Features, registry:I-Features, keys: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 Magic Hound campaign was also discovered using a custom dropper tool , which we have named MagicHound.DropIt .' [/INST] [The:O, Magic:B-OffAct, Hound:I-OffAct, campaign:I-OffAct, was:O, also:O, discovered:O, using:O, a:O, custom:B-Tool, dropper:I-Tool, tool:O, ,:O, which:O, we:O, have:O, named:O, MagicHound.DropIt: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: 'For example , we analyzed a DropIt sample ( SHA256 : cca268c13885ad5751eb70371bbc9ce8c8795654fedb90d9e3886cbcfe323671 ) that dropped two executables , one of which was saved to , %TEMP%\flash_update.exe , that was a legitimate Flash Player installer .' [/INST] [For:O, example:O, ,:O, we:O, analyzed:O, a:O, DropIt:B-Tool, sample:I-Tool, (:O, SHA256:O, ::O, cca268c13885ad5751eb70371bbc9ce8c8795654fedb90d9e3886cbcfe323671:O, ):O, that:O, dropped:B-Features, two:I-Features, executables:I-Features, ,:O, one:O, of:O, which:O, was:O, saved:O, to:O, ,:O, %TEMP%\flash_update.exe:B-SamFile, ,:O, that:O, was:O, a:O, legitimate:O, Flash:B-Tool, Player:I-Tool, installer:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During a recent campaign , APT32 leveraged social engineering emails with Microsoft ActiveMime file attachments to deliver malicious macros .' [/INST] [During:O, a:O, recent:O, campaign:B-OffAct, ,:O, APT32:B-HackOrg, leveraged:O, social:B-Way, engineering:I-Way, emails:I-Way, with:O, Microsoft:B-SamFile, ActiveMime:I-SamFile, file:I-SamFile, attachments:O, to:O, deliver:B-Purp, malicious:I-Purp, macros:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The HTA files contained job descriptions and links to job postings on popular employment websites .' [/INST] [The:O, HTA:B-SamFile, files:I-SamFile, contained:B-Features, job:I-Features, descriptions:I-Features, and:I-Features, links:I-Features, to:O, job:O, postings:O, on:O, popular:O, employment:O, websites:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These emails included recruitment-themed lures and links to malicious HTML application ( HTA ) files .' [/INST] [These:O, emails:B-Way, included:O, recruitment-themed:B-Way, lures:I-Way, and:O, links:O, to:O, malicious:O, HTML:B-Tool, application:I-Tool, (:O, HTA:B-SamFile, ):O, files:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '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: 'ChopShop1 is a new framework developed by the MITRE Corporation for network-based protocol decoders that enable security professionals to understand actual commands issued by human operators controlling endpoints .' [/INST] [ChopShop1:B-SamFile, is:O, a:O, new:O, framework:O, developed:O, by:O, the:O, MITRE:B-Org, Corporation:I-Org, for:O, network-based:O, protocol:O, decoders:O, that:O, enable:B-Features, security:I-Features, professionals:I-Features, to:O, understand:O, actual:O, commands:O, issued:O, by:O, human:O, operators:O, controlling:O, endpoints:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attachments are typically sent as an executable file embedded in a ZIP archive or a password-protected Microsoft Office document .' [/INST] [Attachments:B-SamFile, are:O, typically:O, sent:O, as:O, an:O, executable:O, file:O, embedded:O, in:O, a:O, ZIP:B-Way, archive:I-Way, or:O, a:O, password-protected:B-Way, Microsoft:I-Way, Office:I-Way, document:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This blog post analyzes several recent Molerats attacks that deployed PIVY against targets in the Middle East and in the U.S. We also examine additional PIVY attacks that leverage Arabic-language content related to the ongoing crisis in Egypt and the wider Middle East to lure targets into opening malicious files .' [/INST] [This:O, blog:O, post:O, analyzes:O, several:O, recent:O, Molerats:B-OffAct, attacks:I-OffAct, that:O, deployed:O, PIVY:B-Tool, against:O, targets:O, in:O, the:O, Middle:B-Area, East:I-Area, and:O, in:O, the:O, U.S.:B-Area, We:O, also:O, examine:O, additional:O, PIVY:B-OffAct, attacks:I-OffAct, that:O, leverage:O, Arabic-language:O, content:O, related:O, to:O, the:O, ongoing:O, crisis:O, in:O, Egypt:B-Area, and:O, the:O, wider:O, Middle:B-Area, East:I-Area, to:O, lure:O, targets:O, into:O, opening:O, malicious:B-SamFile, files: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: 'The archive contains an .exe file , sometimes disguised as a Microsoft Word file , a video , or another file format , using the corresponding icon .' [/INST] [The:O, archive:O, contains:O, an:O, .exe:B-SamFile, file:I-SamFile, ,:O, sometimes:O, disguised:O, as:O, a:O, Microsoft:B-SamFile, Word:I-SamFile, file:I-SamFile, ,:O, a:O, video:O, ,:O, or:O, another:O, file:O, format:O, ,:O, using:O, the:O, corresponding:O, icon: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 Palo Alto Networks Unit 42 research team recently came across a series of malicious files which were almost identical to those targeting the Saudi Arabian government previously discussed by MalwareBytes .' [/INST] [The:O, Palo:B-SecTeam, Alto:I-SecTeam, Networks:I-SecTeam, Unit:I-SecTeam, 42:I-SecTeam, research:O, team:O, recently:O, came:O, across:O, a:O, series:O, of:O, malicious:B-SamFile, files:I-SamFile, which:O, were:O, almost:O, identical:O, to:O, those:O, targeting:O, the:O, Saudi:B-Area, Arabian:I-Area, government:B-Idus, previously:O, discussed:O, by:O, MalwareBytes: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: 'We found new variants of the Powermud backdoor , a new backdoor ( Backdoor.Powemuddy ) , and custom tools for stealing passwords , creating reverse shells , privilege escalation , and the use of the native Windows cabinet creation tool , makecab.exe , probably for compressing stolen data to be uploaded .' [/INST] [We:O, found:O, new:O, variants:O, of:O, the:O, Powermud:B-Tool, backdoor:I-Tool, ,:O, a:O, new:O, backdoor:O, (:O, Backdoor.Powemuddy:B-SamFile, ):O, ,:O, and:O, custom:B-Tool, tools:I-Tool, for:O, stealing:B-Features, passwords:I-Features, ,:O, creating:B-Features, reverse:I-Features, shells:I-Features, ,:O, privilege:B-Features, escalation:I-Features, ,:O, and:O, the:O, use:B-Features, of:I-Features, the:I-Features, native:I-Features, Windows:I-Features, cabinet:I-Features, creation:I-Features, tool:I-Features, ,:O, makecab.exe:B-SamFile, ,:O, probably:O, for:O, compressing:O, stolen:O, data:O, to:O, be:O, uploaded: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: 'Analysts in our DeepSight Managed Adversary and Threat Intelligence ( MATI ) team have found a new backdoor , Backdoor.Powemuddy , new variants of Seedworm 's Powermud backdoor ( aka POWERSTATS ) , a GitHub repository used by the group to store their scripts , as well as several post-compromise tools the group uses to exploit victims once they have established a foothold in their network .' [/INST] [Analysts:O, in:O, our:O, DeepSight:B-SecTeam, Managed:I-SecTeam, Adversary:I-SecTeam, and:I-SecTeam, Threat:I-SecTeam, Intelligence:I-SecTeam, (:O, MATI:B-SecTeam, ):O, team:O, have:O, found:O, a:O, new:O, backdoor:O, ,:O, Backdoor.Powemuddy:B-SamFile, ,:O, new:O, variants:O, of:O, Seedworm:B-HackOrg, 's:O, Powermud:B-SamFile, backdoor:I-SamFile, (:O, aka:O, POWERSTATS:B-Tool, ):O, ,:O, a:O, GitHub:O, repository:O, used:O, by:O, the:O, group:B-HackOrg, to:O, store:O, their:O, scripts:O, ,:O, as:O, well:O, as:O, several:O, post-compromise:O, tools:O, the:O, group:B-HackOrg, uses:O, to:O, exploit:O, victims:O, once:O, they:O, have:O, established:O, a:O, foothold:O, in:O, their: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: 'Like the previous campaigns , these samples again involve a Microsoft Word document embedded with a malicious macro that is capable of executing PowerShell ( PS ) scripts leading to a backdoor payload .' [/INST] [Like:O, the:O, previous:O, campaigns:B-OffAct, ,:O, these:O, samples:O, again:O, involve:O, a:O, Microsoft:B-SamFile, Word:I-SamFile, document:I-SamFile, embedded:O, with:O, a:O, malicious:O, macro:O, that:O, is:O, capable:O, of:O, executing:O, PowerShell:O, (:O, PS:O, ):O, scripts:O, leading:B-Features, to:I-Features, a:I-Features, backdoor: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: 'In May 2018 , Trend Micro found a new sample ( Detected as W2KM_DLOADR.UHAOEEN ) that may be related to this campaign .' [/INST] [In:O, May:B-Time, 2018:I-Time, ,:O, Trend:B-SecTeam, Micro:I-SecTeam, found:O, a:O, new:O, sample:O, (:O, Detected:O, as:O, W2KM_DLOADR.UHAOEEN:B-SamFile, ):O, that:O, may:O, be:O, related:O, to:O, this: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: 'In May 2018 , Trend Micro found a new sample ( Detected as W2KM_DLOADR.UHAOEEN ) that may be related to this campaign .' [/INST] [In:O, May:B-Time, 2018:I-Time, ,:O, Trend:B-SecTeam, Micro:I-SecTeam, found:O, a:O, new:O, sample:O, (:O, Detected:O, as:O, W2KM_DLOADR.UHAOEEN:B-SamFile, ):O, that:O, may:O, be:O, related:O, to:O, this: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: '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: 'Taking a step back , as discussed in the Appendix in our initial OilRig blog , Clayslide delivery documents initially open with a worksheet named , Incompatible , that displays content that instructs the user to , Enable Content , to see the contents of the document , which in fact runs the malicious macro and compromises the system .' [/INST] [Taking:O, a:O, step:O, back:O, ,:O, as:O, discussed:O, in:O, the:O, Appendix:O, in:O, our:O, initial:O, OilRig:B-HackOrg, blog:O, ,:O, Clayslide:B-SamFile, delivery:I-SamFile, documents:I-SamFile, initially:O, open:O, with:O, a:O, worksheet:O, named:O, ,:O, Incompatible:O, ,:O, that:O, displays:O, content:O, that:O, instructs:O, the:O, user:O, to:O, ,:O, Enable:O, Content:O, ,:O, to:O, see:O, the:O, contents:O, of:O, the:O, document:O, ,:O, which:O, in:O, fact:O, runs:B-Features, the:I-Features, malicious:I-Features, macro:I-Features, and:O, compromises:B-Features, the:I-Features, system: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 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 vulnerability exists in the old Equation Editor ( EQNEDT32.EXE ) , a component of Microsoft Office that is used to insert and evaluate mathematical formulas .' [/INST] [The:O, vulnerability:O, exists:O, in:O, the:O, old:O, Equation:B-Tool, Editor:I-Tool, (:O, EQNEDT32.EXE:B-SamFile, ):O, ,:O, a:O, component:O, of:O, Microsoft:O, Office:O, that:O, is:O, used:O, to:O, insert:B-Features, and:I-Features, evaluate:I-Features, mathematical:I-Features, formulas: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 January 8 attack used a variant of the ThreeDollars delivery document , which we identified as part of the OilRig toolset based on attacks that occurred in August 2017 .' [/INST] [The:O, January:B-OffAct, 8:I-OffAct, attack:I-OffAct, used:O, a:O, variant:O, of:O, the:O, ThreeDollars:B-SamFile, delivery:I-SamFile, document:I-SamFile, ,:O, which:O, we:O, identified:O, as:O, part:O, of:O, the:O, OilRig:B-HackOrg, toolset:O, based:O, on:O, attacks:B-OffAct, that:O, occurred:O, in:O, August: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 email contained an attachment named Seminar-Invitation.doc , which is a malicious Microsoft Word document we track as ThreeDollars .' [/INST] [The:O, email:B-Way, contained:O, an:O, attachment:O, named:O, Seminar-Invitation.doc:B-SamFile, ,:O, which:O, is:O, a:O, malicious:O, Microsoft:B-Tool, Word:I-Tool, document:O, we:O, track:O, as:O, ThreeDollars: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: 'We also identified another sample of ThreeDollars , created on January 15 , 2017 with the file name strategy preparation.dot .' [/INST] [We:O, also:O, identified:O, another:O, sample:O, of:O, ThreeDollars:B-Tool, ,:O, created:O, on:O, January:B-Time, 15:I-Time, ,:O, 2017:B-Time, with:O, the:O, file:O, name:O, strategy:O, preparation.dot: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: 'We had previously observed this author name in use once before , in the very first ThreeDollars document we collected that we had reported on in August 2017 .' [/INST] [We:O, had:O, previously:O, observed:O, this:O, author:O, name:O, in:O, use:O, once:O, before:O, ,:O, in:O, the:O, very:O, first:O, ThreeDollars:B-SamFile, document:I-SamFile, we:O, collected:O, that:O, we:O, had:O, reported:O, on:O, in:O, August: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 June 2017 sample of Clayslide contained the same OfficeServicesStatus.vbs file found in the ISMAgent Clayslide document , but instead of having the payload embedded in the macro as segregated base64 strings that would be concatenated , this variant obtained its payload from multiple cells within the , Incompatible , worksheet .' [/INST] [The:O, June:B-Time, 2017:I-Time, sample:O, of:O, Clayslide:B-Tool, contained:O, the:O, same:O, OfficeServicesStatus.vbs:B-SamFile, file:I-SamFile, found:O, in:O, the:O, ISMAgent:B-Tool, Clayslide:I-Tool, document:I-Tool, ,:O, but:O, instead:O, of:O, having:O, the:O, payload:O, embedded:O, in:O, the:O, macro:O, as:O, segregated:O, base64:O, strings:O, that:O, would:O, be:O, concatenated:O, ,:O, this:O, variant:O, obtained:O, its:O, payload:O, from:O, multiple:O, cells:O, within:O, the:O, ,:O, Incompatible:O, ,:O, worksheet:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During this testing , we saw document filenames that contain the C2 we witnessed in the targeted attack above , specifically the filenames XLS-withyourface.xls and XLS-withyourface – test.xls .' [/INST] [During:O, this:O, testing:O, ,:O, we:O, saw:O, document:O, filenames:O, that:O, contain:O, the:O, C2:O, we:O, witnessed:O, in:O, the:O, targeted:B-OffAct, attack:I-OffAct, above:O, ,:O, specifically:O, the:O, filenames:O, XLS-withyourface.xls:B-SamFile, and:O, XLS-withyourface:B-SamFile, –:I-SamFile, test.xls: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: 'These samples appeared to have been created by OilRig during their development and testing activities , all of which share many similarities with the delivery document used in the recent OilRig attack against a Middle Eastern government , N56.15.doc ( 7cbad6b3f505a199d6766a86b41ed23786bbb99dab9cae6c18936afdc2512f00 ) that we have also included in Table 1 .' [/INST] [These:O, samples:O, appeared:O, to:O, have:O, been:O, created:O, by:O, OilRig:B-HackOrg, during:O, their:O, development:O, and:O, testing:B-OffAct, activities:I-OffAct, ,:O, all:O, of:O, which:O, share:O, many:O, similarities:O, with:O, the:O, delivery:O, document:O, used:O, in:O, the:O, recent:O, OilRig:B-OffAct, attack:I-OffAct, against:O, a:O, Middle:B-Area, Eastern:I-Area, government:B-Idus, ,:O, N56.15.doc:B-SamFile, (:O, 7cbad6b3f505a199d6766a86b41ed23786bbb99dab9cae6c18936afdc2512f00:O, ):O, that:O, we:O, have:O, also:O, included:O, in:O, Table:O, 1: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 sent multiple emails containing macro-enabled XLS files to employees working in the banking sector in the Middle East .' [/INST] [The:O, attackers:B-HackOrg, sent:O, multiple:O, emails:B-Way, containing:O, macro-enabled:O, XLS:B-SamFile, files:I-SamFile, to:O, employees:B-Org, working:I-Org, in:I-Org, the:I-Org, banking:I-Org, sector: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: 'In the first week of May 2016 , FireEye 's DTI identified a wave of emails containing malicious attachments being sent to multiple banks in the Middle East region .' [/INST] [In:O, the:O, first:O, week:O, of:O, May:B-Time, 2016:I-Time, ,:O, FireEye:B-SecTeam, 's:I-SecTeam, DTI:I-SecTeam, identified:O, a:O, wave:O, of:O, emails:B-Way, containing:O, malicious:B-SamFile, attachments:I-SamFile, being:O, sent:O, to:O, multiple:O, banks:B-Idus, in:O, the:O, Middle:B-Area, East:I-Area, region: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: 'Their next move was to list any remote shared drives and then attempt to access remote shares owned by the specific government office they were targeting , again attempting to extract all Word documents .' [/INST] [Their:O, next:O, move:O, was:O, to:O, list:O, any:O, remote:O, shared:O, drives:O, and:O, then:O, attempt:O, to:O, access:O, remote:O, shares:O, owned:O, by:O, the:O, specific:O, government:B-Org, office:I-Org, they:O, were:O, targeting:O, ,:O, again:O, attempting:O, to:O, extract:O, all:O, Word:B-SamFile, documents: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: 'For example , in September 2016 , Sowbug infiltrated an organization in Asia , deploying the Felismus backdoor on one of its computers , Computer A , using the file name adobecms.exe in CSIDL_WINDOWS\debug .' [/INST] [For:O, example:O, ,:O, in:O, September:B-Time, 2016:I-Time, ,:O, Sowbug:B-HackOrg, infiltrated:O, an:O, organization:O, in:O, Asia:B-Area, ,:O, deploying:O, the:O, Felismus:B-Tool, backdoor:I-Tool, on:O, one:O, of:O, its:O, computers:O, ,:O, Computer:O, A:O, ,:O, using:O, the:O, file:O, name:O, adobecms.exe:B-SamFile, in:O, CSIDL_WINDOWS\debug: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: 'Symantec has found evidence of Starloader files being named AdobeUpdate.exe , AcrobatUpdate.exe , and INTELUPDATE.EXE among others .' [/INST] [Symantec:B-SecTeam, has:O, found:O, evidence:O, of:O, Starloader:B-SamFile, files:I-SamFile, being:O, named:O, AdobeUpdate.exe:B-SamFile, ,:O, AcrobatUpdate.exe:B-SamFile, ,:O, and:O, INTELUPDATE.EXE:B-SamFile, among: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: 'The attackers then began to perform reconnaissance activities on Computer A via cmd.exe , collecting system-related information , such as the OS version , hardware configuration , and network information .' [/INST] [The:O, attackers:O, then:O, began:O, to:O, perform:O, reconnaissance:O, activities:B-OffAct, on:O, Computer:O, A:O, via:O, cmd.exe:B-SamFile, ,:O, collecting:B-Features, system-related:I-Features, information:I-Features, ,:O, such:O, as:O, the:O, OS:O, version:O, ,:O, hardware:O, configuration:O, ,:O, and:O, network:O, information: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 September 2015 , Kaspersky Lab 's Anti-Targeted Attack Platform discovered anomalous network traffic in a government organization network .' [/INST] [In:O, September:B-Time, 2015:I-Time, ,:O, Kaspersky:B-SecTeam, Lab:I-SecTeam, 's:O, Anti-Targeted:O, Attack:O, Platform:O, discovered:O, anomalous:B-SamFile, network:I-SamFile, traffic:I-SamFile, in:O, a:O, government:B-Org, organization:I-Org, 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: 'Symantec detects this threat as Backdoor.Nidiran .' [/INST] [Symantec:B-SecTeam, detects:O, this:O, threat:O, as:O, Backdoor.Nidiran: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: 'Attackers have been known to distribute malicious files masquerading as the legitimate iviewers.dll file and then use DLL load hijacking to execute the malicious code and infect the computer .' [/INST] [Attackers:O, have:O, been:O, known:O, to:O, distribute:O, malicious:B-SamFile, files:I-SamFile, masquerading:O, as:O, the:O, legitimate:O, iviewers.dll:B-Tool, file:I-Tool, and:O, then:O, use:O, DLL:B-Tool, load:I-Tool, hijacking:I-Tool, to:O, execute:O, the:O, malicious:O, code:O, and:O, infect:O, the:O, computer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once exploit has been achieved , Nidiran is delivered through a self-extracting executable that extracts the components to a .tmp folder after it has been executed .' [/INST] [Once:O, exploit:O, has:O, been:O, achieved:O, ,:O, Nidiran:B-Tool, is:O, delivered:O, through:O, a:O, self-extracting:B-Tool, executable:I-Tool, that:O, extracts:O, the:O, components:O, to:O, a:O, .tmp:B-SamFile, folder:O, after:O, it:O, has:O, been:O, executed: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 there have been several Suckfly campaigns that infected organizations with the group 's custom malware Backdoor.Nidiran , the Indian targets show a greater amount of post-infection activity than targets in other regions .' [/INST] [While:O, there:O, have:O, been:O, several:O, Suckfly:B-OffAct, campaigns:I-OffAct, that:O, infected:O, organizations:O, with:O, the:O, group:O, 's:O, custom:O, malware:O, Backdoor.Nidiran:B-SamFile, ,:O, the:O, Indian:O, targets:O, show:O, a:O, greater:O, amount:O, of:O, post-infection:B-OffAct, activity:I-OffAct, than:O, targets:O, in:O, other:O, regions: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 there have been several Suckfly campaigns that infected organizations with the group 's custom malware Backdoor.Nidiran , the Indian targets show a greater amount of post-infection activity than targets in other regions .' [/INST] [While:O, there:O, have:O, been:O, several:O, Suckfly:B-OffAct, campaigns:I-OffAct, that:O, infected:O, organizations:O, with:O, the:O, group:O, 's:O, custom:O, malware:O, Backdoor.Nidiran:B-SamFile, ,:O, the:O, Indian:O, targets:O, show:O, a:O, greater:O, amount:O, of:O, post-infection:B-OffAct, activity:I-OffAct, than:O, targets:O, in:O, other:O, regions: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: 'To better understand how the adversary was operating and what other actions they had performed , CTU researchers examined cmd.exe and its supporting processes to uncover additional command line artifacts .' [/INST] [To:O, better:O, understand:O, how:O, the:O, adversary:O, was:O, operating:O, and:O, what:O, other:O, actions:O, they:O, had:O, performed:O, ,:O, CTU:B-SecTeam, researchers:O, examined:O, cmd.exe:B-SamFile, and:O, its:O, supporting:O, processes:O, to:O, uncover:O, additional:O, command:O, line:O, artifacts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In a separate incident , CTU researchers identified a file named s.txt , which is consistent with the output of the Netview host-enumeration tool .' [/INST] [In:O, a:O, separate:O, incident:O, ,:O, CTU:B-SecTeam, researchers:O, identified:O, a:O, file:O, named:O, s.txt:B-SamFile, ,:O, which:O, is:O, consistent:O, with:O, the:O, output:O, of:O, the:O, Netview:O, host-enumeration:O, 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: 'Thrip was attempting to remotely install a previously unknown piece of malware ( Infostealer.Catchamas ) on computers within the victim 's network .' [/INST] [Thrip:O, was:O, attempting:O, to:O, remotely:O, install:O, a:O, previously:O, unknown:O, piece:O, of:O, malware:O, (:O, Infostealer.Catchamas:B-SamFile, ):O, on:O, computers:O, within:O, the:O, victim:O, 's: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: 'Catchamas is a custom Trojan designed to steal information from an infected computer and contains additional features designed to avoid detection .' [/INST] [Catchamas:B-SamFile, is:O, a:O, custom:O, Trojan:O, designed:O, to:O, steal:B-Features, information:I-Features, from:O, an:O, infected:O, computer:O, and:O, contains:O, additional:O, features:O, designed:O, to:O, avoid:O, detection: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 malicious loader will use dynamic-link library ( DLL ) hijacking — injecting malicious code into a process of a file/application — on sidebar.exe and launch dllhost.exe ( a normal file ) .' [/INST] [The:O, malicious:O, loader:O, will:O, use:O, dynamic-link:O, library:O, (:O, DLL:O, ):O, hijacking:O, —:O, injecting:O, malicious:O, code:O, into:O, a:O, process:O, of:O, a:O, file/application:O, —:O, on:O, sidebar.exe:B-SamFile, and:O, launch:O, dllhost.exe:B-SamFile, (:O, a:O, normal:O, file: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: 'As we have noted in many earlier reports , attackers commonly use decoy files to trick victims into thinking a malicious document is actually legitimate .' [/INST] [As:O, we:O, have:O, noted:O, in:O, many:O, earlier:O, reports:O, ,:O, attackers:O, commonly:O, use:O, decoy:B-SamFile, files:I-SamFile, to:O, trick:O, victims:O, into:O, thinking:O, a:O, malicious:O, document:O, is:O, actually:O, legitimate: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: 'Even an experienced user can be fooled by downloading a malicious file that is apparently from adobe.com , since the URL and the IP address correspond to Adobe 's legitimate infrastructure .' [/INST] [Even:O, an:O, experienced:O, user:O, can:O, be:O, fooled:O, by:O, downloading:O, a:O, malicious:B-SamFile, file:I-SamFile, that:O, is:O, apparently:O, from:O, adobe.com:B-Way, ,:O, since:O, the:O, URL:O, and:O, the:O, IP:O, address:O, correspond:O, to:O, Adobe:O, 's:O, legitimate:O, infrastructure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to Deepen , APT6 has been using spear phishing in tandem with malicious PDF and ZIP attachments or links to malware infected websites that contains a malicious SCR file .' [/INST] [According:O, to:O, Deepen:B-SecTeam, ,:O, APT6:B-HackOrg, has:O, been:O, using:O, spear:B-Way, phishing:I-Way, in:O, tandem:O, with:O, malicious:O, PDF:B-Tool, and:O, ZIP:B-Tool, attachments:O, or:O, links:O, to:O, malware:O, infected:O, websites:O, that:O, contains:O, a:O, malicious:O, SCR:B-SamFile, file: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: 'Bellingcat also reported the domain had been used previously to host potential decoy documents as detailed in VirusTotal here using hxxp://voguextra.com/decoy.doc .' [/INST] [Bellingcat:B-SecTeam, also:O, reported:O, the:O, domain:O, had:O, been:O, used:O, previously:O, to:O, host:O, potential:O, decoy:B-SamFile, documents:I-SamFile, as:O, detailed:O, in:O, VirusTotal:O, here:O, using:O, hxxp://voguextra.com/decoy.doc: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: 'We identified an overlap in the domain voguextra.com , which was used by Bahamut within their , Devoted To Humanity , app to host an image file and as C2 server by the PrayTime iOS app mentioned in our first post .' [/INST] [We:O, identified:O, an:O, overlap:O, in:O, the:O, domain:O, voguextra.com:O, ,:O, which:O, was:O, used:O, by:O, Bahamut:B-HackOrg, within:O, their:O, ,:O, Devoted:B-SamFile, To:I-SamFile, Humanity:I-SamFile, ,:O, app:O, to:O, host:O, an:O, image:O, file:O, and:O, as:O, C2:O, server:O, by:O, the:O, PrayTime:O, iOS:O, app:O, mentioned:O, in:O, our:O, first:O, post: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 not detected at the time , Microsoft 's antivirus and security products now detect this Barium malicious file and flag the file as , Win32/ShadowPad.A , .' [/INST] [While:O, not:O, detected:O, at:O, the:O, time:O, ,:O, Microsoft:B-Org, 's:O, antivirus:O, and:O, security:O, products:O, now:O, detect:O, this:O, Barium:B-HackOrg, malicious:O, file:O, and:O, flag:O, the:O, file:O, as:O, ,:O, Win32/ShadowPad.A:B-SamFile, ,: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: 'MXI Player appears to be a version of the Bahamut agent , designed to record the phone calls and collect other information about the user ( com.mxi.videoplay ) .' [/INST] [MXI:B-SamFile, Player:I-SamFile, appears:O, to:O, be:O, a:O, version:O, of:O, the:O, Bahamut:O, agent:O, ,:O, designed:O, to:O, record:B-Features, the:I-Features, phone:I-Features, calls:I-Features, and:O, collect:B-Features, other:I-Features, information:I-Features, about:O, the:O, user:O, (:O, com.mxi.videoplay: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: 'Like PLEAD , Shrouded Crossbow uses spear-phishing emails with backdoor-laden attachments that utilize the RTLO technique and accompanied by decoy documents .' [/INST] [Like:O, PLEAD:B-OffAct, ,:O, Shrouded:B-OffAct, Crossbow:I-OffAct, uses:O, spear-phishing:B-Way, emails:I-Way, with:O, backdoor-laden:O, attachments:O, that:O, utilize:O, the:O, RTLO:B-Tool, technique:I-Tool, and:O, accompanied:O, by:O, decoy:B-SamFile, documents: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: 'The self-extracting RAR writes a legitimate executable , an actor-created DLL called Loader.dll and a file named readme.txt to the filesystem and then executes the legitimate executable .' [/INST] [The:O, self-extracting:B-Tool, RAR:I-Tool, writes:O, a:O, legitimate:O, executable:O, ,:O, an:O, actor-created:O, DLL:O, called:O, Loader.dll:B-SamFile, and:O, a:O, file:O, named:O, readme.txt:B-SamFile, to:O, the:O, filesystem:O, and:O, then:O, executes:O, the:O, legitimate:O, executable: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: 'Leader is Bookworm 's main module and controls all of the activities of the Trojan , but relies on the additional DLLs to provide specific functionality .' [/INST] [Leader:B-Tool, is:O, Bookworm:B-Tool, 's:O, main:O, module:O, and:O, controls:O, all:O, of:O, the:O, activities:B-OffAct, of:O, the:O, Trojan:O, ,:O, but:O, relies:O, on:O, the:O, additional:O, DLLs:B-SamFile, to:O, provide:O, specific:O, functionality: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 speculate that other attacks delivering Bookworm were also targeting organizations in Thailand based on the contents of the associated decoys documents , as well as several of the dynamic DNS domain names used to host C2 servers that contain the words , Thai , or , Thailand , .' [/INST] [We:O, speculate:O, that:O, other:O, attacks:B-OffAct, delivering:O, Bookworm:B-Tool, were:O, also:O, targeting:O, organizations:O, in:O, Thailand:B-Area, based:O, on:O, the:O, contents:O, of:O, the:O, associated:O, decoys:B-SamFile, documents:I-SamFile, ,:O, as:O, well:O, as:O, several:O, of:O, the:O, dynamic:B-Tool, DNS:I-Tool, domain:I-Tool, names:O, used:O, to:O, host:O, C2:O, servers:O, that:O, contain:O, the:O, words:O, ,:O, Thai:B-Area, ,:O, or:O, ,:O, Thailand:B-Area, ,: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: 'Threat actors may use the date string hardcoded into each Bookworm sample as a build identifier .' [/INST] [Threat:O, actors:O, may:O, use:O, the:O, date:B-SamFile, string:I-SamFile, hardcoded:I-SamFile, into:O, each:O, Bookworm:B-Tool, sample:I-Tool, as:O, a:O, build:B-Features, identifier: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: 'Due to these changes without a new date string , we believe the date codes are used for campaign tracking rather than a Bookworm build identifier .' [/INST] [Due:O, to:O, these:O, changes:O, without:O, a:O, new:O, date:B-SamFile, string:I-SamFile, ,:O, we:O, believe:O, the:O, date:B-SamFile, codes:I-SamFile, are:O, used:O, for:O, campaign:B-Features, tracking:I-Features, rather:O, than:O, a:O, Bookworm:B-Tool, build:O, identifier: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: 'Another decoy slideshow associated with the Bookworm attack campaign contains photos of an event called Bike for Dad 2015 .' [/INST] [Another:O, decoy:B-SamFile, slideshow:I-SamFile, associated:O, with:O, the:O, Bookworm:B-OffAct, attack:I-OffAct, campaign:I-OffAct, contains:O, photos:O, of:O, an:O, event:O, called:O, Bike:O, for:O, Dad:O, 2015: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 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: 'The executable would install the real Ammyy product , but would also launch a file called either AmmyyService.exe or AmmyySvc.exe which contained the malicious payload .' [/INST] [The:O, executable:O, would:O, install:O, the:O, real:O, Ammyy:O, product:O, ,:O, but:O, would:O, also:O, launch:O, a:O, file:O, called:O, either:O, AmmyyService.exe:B-SamFile, or:O, AmmyySvc.exe:B-SamFile, which:O, contained:O, the: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: 'The second , aptly titled , kontrakt87.doc , , copies a generic telecommunications service contract from MegaFon , a large Russian mobile phone operator .' [/INST] [The:O, second:O, ,:O, aptly:O, titled:O, ,:O, kontrakt87.doc:B-SamFile, ,:O, ,:O, copies:O, a:O, generic:O, telecommunications:B-Idus, service:I-Idus, contract:O, from:O, MegaFon:B-Org, ,:O, a:O, large:O, Russian:B-Area, mobile:B-Org, phone:I-Org, operator:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to built-in functionalities , the operators of Careto can upload additional modules which can perform any malicious task .' [/INST] [In:O, addition:O, to:O, built-in:O, functionalities:O, ,:O, the:O, operators:O, of:O, Careto:B-SamFile, can:O, upload:B-Features, additional:I-Features, modules:I-Features, which:O, can:O, perform:O, any:O, malicious:O, task: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: 'Careto 's Mask campaign we discovered relies on spear-phishing e-mails with links to a malicious website .' [/INST] [Careto:B-SamFile, 's:O, Mask:B-OffAct, campaign:I-OffAct, we:O, discovered:O, relies:O, on:O, spear-phishing:B-Way, e-mails:I-Way, with:O, links:O, to:O, a:O, malicious:O, website: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: 'Sometimes , the attackers use sub-domains on the exploit websites , to make them seem more legitimate .' [/INST] [Sometimes:O, ,:O, the:O, attackers:O, use:O, sub-domains:B-Tool, on:O, the:O, exploit:O, websites:O, ,:O, to:O, make:O, them:O, seem:O, more:O, legitimate: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 initially became aware of Careto when we observed attempts to exploit a vulnerability in our products to make the malware , invisible , in the system .' [/INST] [We:O, initially:O, became:O, aware:O, of:O, Careto:B-SamFile, when:O, we:O, observed:O, attempts:O, to:O, exploit:O, a:O, vulnerability:O, in:O, our:O, products:O, to:O, make:O, the:O, malware:O, ,:O, invisible:O, ,:O, in: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 scanner was identified as the Acunetix Web Vulnerability Scanner which is a commercial penetration testing tool that is readily available as a 14-day trial .' [/INST] [The:O, scanner:O, was:O, identified:O, as:O, the:O, Acunetix:B-SamFile, Web:I-SamFile, Vulnerability:I-SamFile, Scanner:I-SamFile, which:O, is:O, a:O, commercial:O, penetration:O, testing:O, tool:O, that:O, is:O, readily:O, available:O, as:O, a:O, 14-day:O, trial: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 dropped suggest that the targets are likely to be politically or militarily motivated , with subjects such as Intelligence reports and political situations being used as lure documents .' [/INST] [The:O, decoy:B-SamFile, documents:I-SamFile, dropped:O, 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, with:O, subjects:O, such:O, as:O, Intelligence:O, reports:O, and:O, political:B-Idus, situations:O, being:O, used:O, as:O, lure:O, documents: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: '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> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 of which we call ' CONFUCIUS_A ' , a malware family that has links to a series of attacks associated with a backdoor attack method commonly known as SNEEPY ( aka ByeByeShell ) first reported by Rapid7 in 2013 .' [/INST] [The:O, first:O, of:O, which:O, we:O, call:O, ':O, CONFUCIUS_A:B-SamFile, ':O, ,:O, a:O, malware:O, family:O, that:O, has:O, links:O, to:O, a:O, series:O, of:O, attacks:B-OffAct, associated:O, with:O, a:O, backdoor:B-OffAct, attack:I-OffAct, method:O, commonly:O, known:O, as:O, SNEEPY:B-Tool, (:O, aka:O, ByeByeShell:B-Tool, ):O, first:O, reported:O, by:O, Rapid7:B-SecTeam, in:O, 2013: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: 'At first glance CONFUCIUS_B looks very similar to CONFUCIUS_A , and they are also packaged in plain SFX binary files .' [/INST] [At:O, first:O, glance:O, CONFUCIUS_B:B-SamFile, looks:O, very:O, similar:O, to:O, CONFUCIUS_A:B-SamFile, ,:O, and:O, they:O, are:O, also:O, packaged:O, in:O, plain:O, SFX:B-Tool, binary:I-Tool, files:I-Tool, .:O] </s> |
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