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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: 'Given the connection between WERDLOD and OSX_DOK.C , it is reasonable to assume that the latter is also a part of the Operational Emmental campaign .' [/INST] [Given:O, the:O, connection:O, between:O, WERDLOD:S-MAL, and:O, OSX_DOK.C:S-MAL, ,:O, it:O, is:O, reasonable:O, to:O, assume:O, that:O, the:O, latter:O, is:O, also:O, a:O, part:O, of:O, the:O, Operational:B-ACT, Emmental:E-ACT, campaign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 further illustrate , here is a timeline of Operation Emmental and its potential relationship to OSX_DOK.C :' [/INST] [To:O, further:O, illustrate:O, ,:O, here:O, is:O, a:O, timeline:O, of:O, Operation:B-ACT, Emmental:E-ACT, and:O, its:O, potential:O, relationship:O, to:O, OSX_DOK.C:S-MAL, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 phishing incidents for Mac devices being rarer than their Windows counterparts , users should still be aware that attackers can target them at any moment .' [/INST] [Despite:O, phishing:E-ACT, incidents:O, for:O, Mac:S-OS, devices:O, being:O, rarer:O, than:O, their:O, Windows:S-OS, counterparts:O, ,:O, users:O, should:O, still:O, be:O, aware:O, that:O, attackers:O, can:O, target:O, them:O, at:O, any:O, moment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By implementing best practices for phishing-type attacks—such as refraining from downloading files unless they are absolutely certain that they come from trustworthy sources—users can avoid being victimized by malware such as OSX_DOK.C that prey on users who lack awareness of phishing strategies .' [/INST] [By:O, implementing:O, best:O, practices:O, for:O, phishing-type:O, attacks—such:O, as:O, refraining:O, from:O, downloading:O, files:O, unless:O, they:O, are:O, absolutely:O, certain:O, that:O, they:O, come:O, from:O, trustworthy:O, sources—users:O, can:O, avoid:O, being:O, victimized:O, by:O, malware:O, such:O, as:O, OSX_DOK.C:S-MAL, that:O, prey:O, on:O, users:O, who:O, lack:O, awareness:O, of:O, phishing:E-ACT, strategies:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , end users can also benefit from security solutions such as Trend Micro Home Security for Mac , which provides comprehensive security and multi-device protection against viruses , ransomware , malicious websites , and identity thieves .' [/INST] [In:O, addition:O, ,:O, end:O, users:O, can:O, also:O, benefit:O, from:O, security:O, solutions:O, such:O, as:O, Trend:B-SECTEAM, Micro:I-SECTEAM, Home:I-SECTEAM, Security:E-SECTEAM, for:O, Mac:S-OS, ,:O, which:O, provides:O, comprehensive:O, security:O, and:O, multi-device:O, protection:O, against:O, viruses:S-MAL, ,:O, ransomware:S-MAL, ,:O, malicious:B-MAL, websites:E-MAL, ,:O, and:O, identity:B-MAL, thieves:E-MAL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 also provides secure storage of passwords and other sensitive information .' [/INST] [It:S-SECTEAM, also:O, provides:O, secure:O, storage:O, of:O, passwords:O, and:O, other:O, sensitive: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: 'Trend Micro™ Mobile Security for Apple devices ( available on the App Store ) can monitor and block phishing attacks and other malicious URLs .' [/INST] [Trend:B-SECTEAM, Micro™:I-SECTEAM, Mobile:I-SECTEAM, Security:E-SECTEAM, for:O, Apple:B-TOOL, devices:E-TOOL, (:O, available:O, on:O, the:O, App:B-TOOL, Store:E-TOOL, ):O, can:O, monitor:O, and:O, block:O, phishing:E-ACT, attacks:O, and:O, other:O, malicious:O, URLs:S-URL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 enterprises , Trend Micro ’s Smart Protection Suites with XGen™ security , which support Mac systems , infuse high-fidelity machine learning into a blend of threat protection techniques to eliminate security gaps across any user activity and any endpoint .' [/INST] [For:O, enterprises:O, ,:O, Trend:B-SECTEAM, Micro:I-SECTEAM, ’s:I-SECTEAM, Smart:I-SECTEAM, Protection:I-SECTEAM, Suites:E-SECTEAM, with:O, XGen™:B-SECTEAM, security:E-SECTEAM, ,:O, which:O, support:O, Mac:S-TOOL, systems:O, ,:O, infuse:O, high-fidelity:O, machine:O, learning:O, into:O, a:O, blend:O, of:O, threat:O, protection:O, techniques:O, to:O, eliminate:O, security:O, gaps:O, across:O, any:O, user:O, activity:O, and:O, any:O, endpoint:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Detecting threat actors in recent German industrial attacks with Windows Defender ATP .' [/INST] [Detecting:O, threat:O, actors:O, in:O, recent:O, German:S-LOC, industrial:O, attacks:O, with:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-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: 'When a Germany-based industrial conglomerate disclosed in December 2016 that it was breached early that year , the breach was revealed to be a professionally run industrial espionage attack .' [/INST] [When:O, a:O, Germany-based:O, industrial:B-IDTY, conglomerate:E-IDTY, disclosed:O, in:O, December:B-TIME, 2016:E-TIME, that:O, it:O, was:O, breached:O, early:O, that:O, year:O, ,:O, the:O, breach:O, was:O, revealed:O, to:O, be:O, a:O, professionally:O, run:O, industrial:O, espionage: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: 'According to the German press , the intruders used the Winnti family of malware as their main implant , giving them persistent access to the conglomerate ’s network as early as February 2016 .' [/INST] [According:O, to:O, the:O, German:S-LOC, press:O, ,:O, the:O, intruders:O, used:O, the:O, Winnti:S-MAL, family:O, of:O, malware:O, as:O, their:O, main:O, implant:O, ,:O, giving:O, them:O, persistent:O, access:O, to:O, the:O, conglomerate:O, ’s:O, network:O, as:O, early:O, as:O, February:B-TIME, 2016:E-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: 'In this blog , we look at the Winnti malware implant as used by two known activity groups BARIUM and LEAD .' [/INST] [In:O, this:O, blog:O, ,:O, we:O, look:O, at:O, the:O, Winnti:S-MAL, malware:O, implant:O, as:O, used:O, by:O, two:O, known:O, activity:O, groups:O, BARIUM:S-APT, and:O, LEAD:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 look at how these activity groups introduce the implant to various targets and techniques used by Microsoft researchers to track the implant .' [/INST] [We:O, look:O, at:O, how:O, these:O, activity:O, groups:O, introduce:O, the:O, implant:O, to:O, various:O, targets:O, and:O, techniques:O, used:O, by:O, Microsoft:S-IDTY, researchers:O, to:O, track:O, the:O, implant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To show how this breach and similar breaches can be mitigated , we look at how Windows Defender Advanced Threat Protection ( Windows Defender ATP ) flags activities associated with BARIUM , LEAD , and other known activity groups and how it provides extensive threat intelligence about these groups .' [/INST] [To:O, show:O, how:O, this:O, breach:O, and:O, similar:O, breaches:O, can:O, be:O, mitigated:O, ,:O, we:O, look:O, at:O, how:O, Windows:B-TOOL, Defender:I-TOOL, Advanced:I-TOOL, Threat:I-TOOL, Protection:E-TOOL, (:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, ):O, flags:O, activities:O, associated:O, with:O, BARIUM:S-APT, ,:O, LEAD:S-APT, ,:O, and:O, other:O, known:O, activity:O, groups:O, and:O, how:O, it:O, provides:O, extensive:O, threat:O, intelligence:O, about:O, these:O, groups:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 go through the Winnti implant installation process and explore how Windows Defender ATP can capture such attacker methods and tools and provide visualized contextual information that can aid in actual attack investigation and response .' [/INST] [We:O, go:O, through:O, the:O, Winnti:S-MAL, implant:O, installation:O, process:O, and:O, explore:O, how:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, can:O, capture:O, such:O, attacker:O, methods:O, and:O, tools:O, and:O, provide:O, visualized:O, contextual:O, information:O, that:O, can:O, aid:O, in:O, actual:O, attack:O, investigation:O, and:O, response:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 then discuss how centralized response options , provided as enhancements to Windows Defender ATP with the Windows 10 Creators Update , can be used to quickly stop threats , including stopping command and control ( C&C ) communication and preventing existing implants from installing additional components or from moving laterally to other computers on the network .' [/INST] [We:O, then:O, discuss:O, how:O, centralized:B-TOOL, response:I-TOOL, options:E-TOOL, ,:O, provided:O, as:O, enhancements:O, to:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, with:O, the:B-OS, Windows:I-OS, 10:I-OS, Creators:I-OS, Update:E-OS, ,:O, can:O, be:O, used:O, to:O, quickly:O, stop:O, threats:O, ,:O, including:O, stopping:O, command:O, and:O, control:O, (:O, C&C:S-PROT, ):O, communication:O, and:O, preventing:O, existing:O, implants:O, from:O, installing:O, additional:O, components:O, or:O, from:O, moving:O, laterally:O, to:O, other:O, computers:O, on:O, the: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: 'Microsoft Threat Intelligence associates Winnti with multiple activity groups—collections of malware , supporting infrastructure , online personas , victimology , and other attack artifacts that the Microsoft intelligent security graph uses to categorize and attribute threat activity .' [/INST] [Microsoft:B-SECTEAM, Threat:I-SECTEAM, Intelligence:E-SECTEAM, associates:O, Winnti:S-MAL, with:O, multiple:O, activity:O, groups—collections:O, of:O, malware:O, ,:O, supporting:O, infrastructure:O, ,:O, online:O, personas:O, ,:O, victimology:O, ,:O, and:O, other:O, attack:O, artifacts:O, that:O, the:O, Microsoft:B-SECTEAM, intelligent:I-SECTEAM, security:I-SECTEAM, graph:E-SECTEAM, uses:O, to:O, categorize:O, and:O, attribute:O, threat:O, activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Microsoft labels activity groups using code names derived from elements in the periodic table .' [/INST] [Microsoft:S-IDTY, labels:O, activity:O, groups:O, using:O, code:O, names:O, derived:O, from:O, elements:O, in:O, the:O, periodic:O, table:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 case of this malware , the activity groups strongly associated with Winnti are BARIUM and LEAD .' [/INST] [In:O, the:O, case:O, of:O, this:O, malware:O, ,:O, the:O, activity:O, groups:O, strongly:O, associated:O, with:O, Winnti:S-MAL, are:O, BARIUM:S-APT, and:O, LEAD:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'But even though they share the use of Winnti , the BARIUM and LEAD activity groups are involved in very different intrusion scenarios .' [/INST] [But:O, even:O, though:O, they:O, share:O, the:O, use:O, of:O, Winnti:S-MAL, ,:O, the:O, BARIUM:S-APT, and:O, LEAD:S-APT, activity:O, groups:O, are:O, involved:O, in:O, very:O, different:O, intrusion:O, scenarios:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BARIUM begins its attacks by cultivating relationships with potential victims—particularly those working in Business Development or Human Resources—on various social media platforms .' [/INST] [BARIUM:S-APT, begins:O, its:O, attacks:O, by:O, cultivating:O, relationships:O, with:O, potential:O, victims—particularly:O, those:O, working:O, in:O, Business:O, Development:O, or:O, Human:O, Resources—on:O, various:O, social:B-TOOL, media:I-TOOL, platforms:E-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: 'Once BARIUM has established rapport , they spear-phish the victim using a variety of unsophisticated malware installation vectors , including malicious shortcut ( .lnk ) files with hidden payloads , compiled HTML help ( .chm ) files , or Microsoft Office documents containing macros or exploits .' [/INST] [Once:O, BARIUM:S-APT, has:O, established:O, rapport:O, ,:O, they:O, spear-phish:O, the:O, victim:O, using:O, a:O, variety:O, of:O, unsophisticated:O, malware:O, installation:O, vectors:O, ,:O, including:O, malicious:B-TOOL, shortcut:E-TOOL, (:O, .lnk:S-FILE, ):O, files:O, with:O, hidden:O, payloads:O, ,:O, compiled:B-TOOL, HTML:E-TOOL, help:O, (:O, .chm:S-FILE, ):O, files:E-TOOL, ,:O, or:O, Microsoft:B-TOOL, Office:I-TOOL, documents:E-TOOL, containing:O, macros:O, or:O, exploits:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Initial intrusion stages feature the Win32/Barlaiy implant—notable for its use of social network profiles , collaborative document editing sites , and blogs for C&C .' [/INST] [Initial:O, intrusion:O, stages:O, feature:O, the:O, Win32/Barlaiy:S-MAL, implant—notable:O, for:O, its:O, use:O, of:O, social:B-TOOL, network:I-TOOL, profiles:E-TOOL, ,:O, collaborative:B-TOOL, document:I-TOOL, editing:I-TOOL, sites:E-TOOL, ,:O, and:O, blogs:S-TOOL, for:O, C&C:S-PROT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Later stages of the intrusions rely upon Winnti for persistent access .' [/INST] [Later:O, stages:O, of:O, the:O, intrusions:O, rely:O, upon:O, Winnti:S-MAL, for:O, persistent: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: 'The majority of victims recorded to date have been in electronic gaming , multimedia , and Internet content industries , although occasional intrusions against technology companies have occurred .' [/INST] [The:O, majority:O, of:O, victims:O, recorded:O, to:O, date:O, have:O, been:O, in:O, electronic:O, gaming:O, ,:O, multimedia:O, ,:O, and:O, Internet:O, content:O, industries:O, ,:O, although:O, occasional:O, intrusions:O, against:O, technology:B-IDTY, companies:E-IDTY, have:O, occurred:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 contrast , LEAD has established a far greater reputation for industrial espionage .' [/INST] [In:O, contrast:O, ,:O, LEAD:S-APT, has:O, established:O, a:O, far:O, greater:O, reputation:O, for:O, industrial:O, espionage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 past few years , LEAD ’s victims have included :' [/INST] [In:O, the:O, past:O, few:O, years:O, ,:O, LEAD:S-APT, ’s:O, victims:O, have:O, included:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Multinational , multi-industry companies involved in the manufacture of textiles , chemicals , and electronics .' [/INST] [Multinational:S-IDTY, ,:O, multi-industry:B-IDTY, companies:I-IDTY, involved:I-IDTY, in:I-IDTY, the:I-IDTY, manufacture:I-IDTY, of:I-IDTY, textiles:E-IDTY, ,:O, chemicals:S-IDTY, ,:O, and:O, electronics:S-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Pharmaceutical companies .' [/INST] [Pharmaceutical:B-IDTY, companies:E-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A company in the chemical industry .' [/INST] [A:B-IDTY, company:I-IDTY, in:I-IDTY, the:I-IDTY, chemical:I-IDTY, industry:E-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'University faculty specializing in aeronautical engineering and research .' [/INST] [University:O, faculty:O, specializing:O, in:O, aeronautical:O, engineering:O, and:O, research:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A company involved in the design and manufacture of motor vehicles .' [/INST] [A:B-IDTY, company:I-IDTY, involved:I-IDTY, in:I-IDTY, the:I-IDTY, design:I-IDTY, and:I-IDTY, manufacture:I-IDTY, of:I-IDTY, motor:I-IDTY, vehicles:E-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A cybersecurity company focusing on protecting industrial control systems .' [/INST] [A:B-IDTY, cybersecurity:I-IDTY, company:I-IDTY, focusing:I-IDTY, on:I-IDTY, protecting:I-IDTY, industrial:I-IDTY, control:I-IDTY, systems:E-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 these intrusions , LEAD ’s objective was to steal sensitive data , including research materials , process documents , and project plans .' [/INST] [During:O, these:O, intrusions:O, ,:O, LEAD:S-APT, ’s:O, objective:O, was:O, to:O, steal:O, sensitive:O, data:O, ,:O, including:O, research:O, materials:O, ,:O, process:O, documents:O, ,:O, and:O, project:O, plans:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'LEAD also steals code-signing certificates to sign its malware in subsequent attacks .' [/INST] [LEAD:S-APT, also:O, steals:O, code-signing:O, certificates:O, to:O, sign:O, its:O, malware:O, in:O, subsequent:O, 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 most cases , LEAD ’s attacks do not feature any advanced exploit techniques .' [/INST] [In:O, most:O, cases:O, ,:O, LEAD:S-APT, ’s:O, attacks:O, do:O, not:O, feature:O, any:O, advanced:O, exploit:O, techniques:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group also does not make special effort to cultivate victims prior to an attack .' [/INST] [The:O, group:O, also:O, does:O, not:O, make:O, special:O, effort:O, to:O, cultivate:O, victims:O, prior:O, to:O, an: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: 'Instead , the group often simply emails a Winnti installer to potential victims , relying on basic social engineering tactics to convince recipients to run the attached malware .' [/INST] [Instead:O, ,:O, the:O, group:O, often:O, simply:O, emails:S-TOOL, a:O, Winnti:B-TOOL, installer:E-TOOL, to:O, potential:O, victims:O, ,:O, relying:O, on:O, basic:O, social:O, engineering:O, tactics:O, to:O, convince:O, recipients:O, to:O, run:O, the:O, attached: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: 'In some other cases , LEAD gains access to a target by brute-forcing remote access login credentials , performing SQL injection , or exploiting unpatched web servers , and then they copy the Winnti installer directly to compromised machines .' [/INST] [In:O, some:O, other:O, cases:O, ,:O, LEAD:S-APT, gains:O, access:O, to:O, a:O, target:O, by:O, brute-forcing:O, remote:B-TOOL, access:I-TOOL, login:I-TOOL, credentials:E-TOOL, ,:O, performing:O, SQL:B-TOOL, injection:E-TOOL, ,:O, or:O, exploiting:O, unpatched:O, web:B-TOOL, servers:E-TOOL, ,:O, and:O, then:O, they:O, copy:O, the:O, Winnti:S-MAL, installer:O, directly:O, to:O, compromised:O, machines:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Microsoft Analytics shows that Winnti has been used in intrusions carried out throughout Asia , Europe , Oceania , the Middle East , and the United States in the last six months .' [/INST] [Microsoft:B-SECTEAM, Analytics:E-SECTEAM, shows:O, that:O, Winnti:S-MAL, has:O, been:O, used:O, in:O, intrusions:O, carried:O, out:O, throughout:O, Asia:S-LOC, ,:O, Europe:S-LOC, ,:O, Oceania:S-LOC, ,:O, the:B-LOC, Middle:I-LOC, East:E-LOC, ,:O, and:O, the:B-LOC, United:I-LOC, States:E-LOC, in:O, the:O, last:B-TIME, six:I-TIME, months:E-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 most recent series of attacks observed was in December 2016 .' [/INST] [The:O, most:O, recent:O, series:O, of:O, attacks:O, observed:O, was:O, in:O, December:B-TIME, 2016:E-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: 'Although tracking threats like Winnti involves old-fashioned investigative work , Microsoft Threat Intelligence analysts take advantage of machine learning to work at scale .' [/INST] [Although:O, tracking:O, threats:O, like:O, Winnti:S-MAL, involves:O, old-fashioned:O, investigative:O, work:O, ,:O, Microsoft:O, Threat:O, Intelligence:O, analysts:O, take:O, advantage:O, of:O, machine:B-TOOL, learning:E-TOOL, to:O, work:O, at:O, scale:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When attackers used Winnti to maintain access to web servers , they hid the implant in plain sight by masquerading it as a trusted , legitimate file .' [/INST] [When:O, attackers:O, used:O, Winnti:S-MAL, to:O, maintain:O, access:O, to:O, web:O, servers:O, ,:O, they:O, hid:O, the:O, implant:O, in:O, plain:O, sight:O, by:O, masquerading:O, it:O, as:O, a:O, trusted:O, ,:O, legitimate:O, file:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the case in two known intrusions in 2015 , where attackers named the implant DLL “ ASPNET_FILTER.DLL ” to disguise it as the DLL for the ASP.NET ISAPI Filter .' [/INST] [This:O, was:O, the:O, case:O, in:O, two:O, known:O, intrusions:O, in:O, 2015:S-TIME, ,:O, where:O, attackers:O, named:O, the:O, implant:O, DLL:S-TOOL, “:O, ASPNET_FILTER.DLL:S-FILE, ”:O, to:O, disguise:O, it:O, as:O, the:O, DLL:S-TOOL, for:O, the:O, ASP.NET:S-FILE, ISAPI:O, Filter:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Although there are obvious differences between the legitimate file and the malicious one , filtering out the malicious file would involve going through a data set with noise from millions of possible file names , software publishers , and certificates .' [/INST] [Although:O, there:O, are:O, obvious:O, differences:O, between:O, the:O, legitimate:O, file:O, and:O, the:O, malicious:O, one:O, ,:O, filtering:O, out:O, the:O, malicious:O, file:O, would:O, involve:O, going:O, through:O, a:O, data:O, set:O, with:O, noise:O, from:O, millions:O, of:O, possible:O, file:O, names:O, ,:O, software:O, publishers:O, ,:O, and:O, certificates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Microsoft researchers used a combination of anomaly detection and supervised machine learning to reduce the data set and separate meaningful , malware-related anomalies from benign data .' [/INST] [Microsoft:S-IDTY, researchers:O, used:O, a:O, combination:O, of:O, anomaly:B-TOOL, detection:E-TOOL, and:O, supervised:B-TOOL, machine:I-TOOL, learning:E-TOOL, to:O, reduce:O, the:O, data:O, set:O, and:O, separate:O, meaningful:O, ,:O, malware-related:O, anomalies:O, from:O, benign: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: 'Windows Defender ATP helps network security professionals deal with intrusions from activity groups like LEAD and BARIUM in several ways .' [/INST] [Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, helps:O, network:O, security:O, professionals:O, deal:O, with:O, intrusions:O, from:O, activity:O, groups:O, like:O, LEAD:S-APT, and:O, BARIUM:S-APT, in:O, several:O, ways:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 following examples were developed using a Winnti installer that was used in attacks in December 2016 .' [/INST] [The:O, following:O, examples:O, were:O, developed:O, using:O, a:O, Winnti:S-MAL, installer:O, that:O, was:O, used:O, in:O, attacks:O, in:O, December:B-TIME, 2016:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Microsoft Threat Intelligence continually tracks activity groups such as LEAD and BARIUM and documents the tactics , techniques , and procedures they employ in their attacks , with a special focus on the tools and infrastructure they use to facilitate those attacks .' [/INST] [Microsoft:B-SECTEAM, Threat:I-SECTEAM, Intelligence:E-SECTEAM, continually:O, tracks:O, activity:O, groups:O, such:O, as:O, LEAD:S-APT, and:O, BARIUM:S-APT, and:O, documents:O, the:O, tactics:O, ,:O, techniques:O, ,:O, and:O, procedures:O, they:O, employ:O, in:O, their:O, attacks:O, ,:O, with:O, a:O, special:O, focus:O, on:O, the:O, tools:O, and:O, infrastructure:O, they:O, use:O, to:O, facilitate:O, those:O, 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: 'Windows Defender ATP continuously monitors protected systems for such indicators of hostile activity and alerts security operations center ( SOC ) personnel to their presence .' [/INST] [Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, continuously:O, monitors:O, protected:O, systems:O, for:O, such:O, indicators:O, of:O, hostile:O, activity:O, and:O, alerts:O, security:B-TOOL, operations:I-TOOL, center:E-TOOL, (:O, SOC:S-TOOL, ):O, personnel:O, to:O, their:O, presence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 provide context around such alerts , Windows Defender ATP also features a short summary of the group ’s history , goals , methods , and tools , with links to extensive documentation for technically minded users .' [/INST] [To:O, provide:O, context:O, around:O, such:O, alerts:O, ,:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, also:O, features:O, a:O, short:O, summary:O, of:O, the:O, group:O, ’s:O, history:O, ,:O, goals:O, ,:O, methods:O, ,:O, and:O, tools:O, ,:O, with:O, links:O, to:O, extensive:O, documentation:O, for:O, technically:O, minded:O, users:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Windows Defender ATP is also capable of detecting previously unknown attacks by monitoring system behavior indicative of hostile activity , including :' [/INST] [Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, is:O, also:O, capable:O, of:O, detecting:O, previously:O, unknown:O, attacks:O, by:O, monitoring:O, system:O, behavior:O, indicative:O, of:O, hostile:O, activity:O, ,:O, including:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Malware installation , persistence , and activation .' [/INST] [Malware:O, installation:O, ,:O, persistence:O, ,:O, and:O, activation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Backdoor command and control .' [/INST] [Backdoor:O, command:O, and:O, control:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Credential theft .' [/INST] [Credential: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: 'Lateral movement to other machines on the network .' [/INST] [Lateral:O, movement:O, to:O, other:O, machines:O, on:O, the: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: 'For example , numerous malware families register themselves as services during installation to guarantee persistence across reboots .' [/INST] [For:O, example:O, ,:O, numerous:O, malware:O, families:O, register:O, themselves:O, as:O, services:O, during:O, installation:O, to:O, guarantee:O, persistence:O, across:O, reboots:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A majority of malware that perform this persistence technique modify the necessary registry keys in ways that do not fit the profile of a legitimate program .' [/INST] [A:O, majority:O, of:O, malware:O, that:O, perform:O, this:O, persistence:O, technique:O, modify:O, the:O, necessary:O, registry:O, keys:O, in:O, ways:O, that:O, do:O, not:O, fit:O, the:O, profile:O, of:O, a:O, legitimate:O, program:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Winnti is no exception , and so , during Winnti ’s installation process , Windows Defender ATP is able to raise behavioral alerts .' [/INST] [Winnti:S-MAL, is:O, no:O, exception:O, ,:O, and:O, so:O, ,:O, during:O, Winnti:S-MAL, ’s:O, installation:O, process:O, ,:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, is:O, able:O, to:O, raise:O, behavioral:O, alerts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 improve coverage while minimizing false positives , Windows Defender ATP uses the intelligent security graph to differentiate between suspicious and benign behavior before generating alerts .' [/INST] [To:O, improve:O, coverage:O, while:O, minimizing:O, false:O, positives:O, ,:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, uses:O, the:O, intelligent:O, security:O, graph:O, to:O, differentiate:O, between:O, suspicious:O, and:O, benign:O, behavior:O, before:O, generating:O, alerts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 considers the age of the file , its global prevalence , and the presence and validity of a digital signature along with the method of service creation .' [/INST] [It:O, considers:O, the:O, age:O, of:O, the:O, file:O, ,:O, its:O, global:O, prevalence:O, ,:O, and:O, the:O, presence:O, and:O, validity:O, of:O, a:O, digital:O, signature:O, along:O, with:O, the:O, method:O, of:O, service:O, creation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 alerts raised either by specific threat intelligence tied to activity groups or by more generic suspicious behaviors , Windows Defender ATP provides rich , visualized technical context .' [/INST] [For:O, alerts:O, raised:O, either:O, by:O, specific:O, threat:O, intelligence:O, tied:O, to:O, activity:O, groups:O, or:O, by:O, more:O, generic:O, suspicious:O, behaviors:O, ,:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, provides:O, rich:O, ,:O, visualized:O, technical:O, context:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 visual context enables SOC personnel to investigate alerts with all related artifacts , understand the scope of the breach , and prepare a comprehensive action plan .' [/INST] [This:O, visual:O, context:O, enables:O, SOC:O, personnel:O, to:O, investigate:O, alerts:O, with:O, all:O, related:O, artifacts:O, ,:O, understand:O, the:O, scope:O, of:O, the:O, breach:O, ,:O, and:O, prepare:O, a:O, comprehensive:O, action:O, plan:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 screenshots below , Windows Defender ATP clearly presents the Winnti installation where an installer drops a DLL to disk , loads the DLL using rundll32 , sets the DLL as a service , and saves a copy of itself in C:\Windows\Help .' [/INST] [In:O, the:O, screenshots:O, below:O, ,:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, clearly:O, presents:O, the:O, Winnti:B-ACT, installation:E-ACT, where:O, an:O, installer:O, drops:O, a:O, DLL:S-TOOL, to:O, disk:O, ,:O, loads:O, the:O, DLL:S-TOOL, using:O, rundll32:O, ,:O, sets:O, the:O, DLL:S-TOOL, as:O, a:O, service:O, ,:O, and:O, saves:O, a:O, copy:O, of:O, itself:O, in:O, C:\Windows\Help:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Windows Defender ATP displays these activities as process trees in a machine timeline for the infected computer .' [/INST] [Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, displays:O, these:O, activities:O, as:O, process:O, trees:O, in:O, a:O, machine:O, timeline:O, for:O, the:O, infected: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: 'Analysts can easily extract detailed information from these trees , such as the implant DLL dropped by the installer , the command used to call rundll32.exe and load the DLL , and the registry modifications that set the DLL as a service .' [/INST] [Analysts:O, can:O, easily:O, extract:O, detailed:O, information:O, from:O, these:O, trees:O, ,:O, such:O, as:O, the:O, implant:O, DLL:S-TOOL, dropped:O, by:O, the:O, installer:O, ,:O, the:O, command:O, used:O, to:O, call:O, rundll32.exe:S-FILE, and:O, load:O, the:O, DLL:S-TOOL, ,:O, and:O, the:O, registry:O, modifications:O, that:O, set:O, the:O, DLL:S-TOOL, as:O, a:O, service:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 information can provide an initial means by which to assess the scope of the breach .' [/INST] [This:O, information:O, can:O, provide:O, an:O, initial:O, means:O, by:O, which:O, to:O, assess:O, the:O, scope:O, of:O, the:O, breach:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Windows 10 Creators Update will bring several enhancements to Windows Defender ATP that will provide SOC personnel with options for immediate mitigation of a detected threat .' [/INST] [The:B-OS, Windows:I-OS, 10:I-OS, Creators:I-OS, Update:E-OS, will:O, bring:O, several:O, enhancements:O, to:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, that:O, will:O, provide:O, SOC:O, personnel:O, with:O, options:O, for:O, immediate:O, mitigation:O, of:O, a:O, detected:O, threat:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 an intruder compromises a computer that has been onboarded to Windows Defender ATP , SOC personnel can isolate the computer from the network , blocking command and control of the implant and preventing attackers from installing additional malware and moving laterally to other computers in the network .' [/INST] [If:O, an:O, intruder:O, compromises:O, a:O, computer:O, that:O, has:O, been:O, onboarded:O, to:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, ,:O, SOC:O, personnel:O, can:O, isolate:O, the:O, computer:O, from:O, the:O, network:O, ,:O, blocking:O, command:O, and:O, control:O, of:O, the:O, implant:O, and:O, preventing:O, attackers:O, from:O, installing:O, additional:O, malware:O, and:O, moving:O, laterally:O, to:O, other:O, computers:O, in:O, the: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: 'Meanwhile , connectivity to the Windows Defender ATP service is maintained .' [/INST] [Meanwhile:O, ,:O, connectivity:O, to:O, the:O, Windows:S-OS, Defender:O, ATP:O, service:O, is:O, maintained:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While the machine is in isolation , SOC personnel can direct the infected machine to collect live investigation data , such as the DNS cache or security event logs , which they can use to verify alerts , assess the state of the intrusion , and support follow-up actions .' [/INST] [While:O, the:O, machine:O, is:O, in:O, isolation:O, ,:O, SOC:O, personnel:O, can:O, direct:O, the:O, infected:O, machine:O, to:O, collect:O, live:O, investigation:O, data:O, ,:O, such:O, as:O, the:O, DNS:S-PROT, cache:O, or:O, security:O, event:O, logs:O, ,:O, which:O, they:O, can:O, use:O, to:O, verify:O, alerts:O, ,:O, assess:O, the:O, state:O, of:O, the:O, intrusion:O, ,:O, and:O, support:O, follow-up:O, actions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 option is to simply halt and quarantine the Winnti implant itself , stopping the intrusion on a single machine .' [/INST] [Another:O, option:O, is:O, to:O, simply:O, halt:O, and:O, quarantine:O, the:O, Winnti:B-MAL, implant:E-MAL, itself:O, ,:O, stopping:O, the:O, intrusion:O, on:O, a:O, single:O, machine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'LEAD and BARIUM are not known for large-scale spear-phishing , so it is unlikely that SOC personnel would have to deal with multiple machines having been compromised by these groups at the same time .' [/INST] [LEAD:S-APT, and:O, BARIUM:S-APT, are:O, not:O, known:O, for:O, large-scale:B-ACT, spear-phishing:E-ACT, ,:O, so:O, it:O, is:O, unlikely:O, that:O, SOC:O, personnel:O, would:O, have:O, to:O, deal:O, with:O, multiple:O, machines:O, having:O, been:O, compromised:O, by:O, these:O, groups:O, at:O, the:O, same:O, time:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Nevertheless , Windows Defender ATP also supports blocking the implant across the entire enterprise , stopping large-scale intrusions in the early stages .' [/INST] [Nevertheless:O, ,:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, also:O, supports:O, blocking:O, the:O, implant:O, across:O, the:O, entire:O, enterprise:O, ,:O, stopping:O, large-scale:O, intrusions:O, in:O, the:O, early:O, stages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the enhanced post-breach detection capabilities of Windows Defender ATP , SOC personnel are able to reduce this period to hours or even minutes , significantly lessening the potential impact of persistent attacker access to their network .' [/INST] [With:O, the:O, enhanced:B-TOOL, post-breach:I-TOOL, detection:I-TOOL, capabilities:E-TOOL, of:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, ,:O, SOC:O, personnel:O, are:O, able:O, to:O, reduce:O, this:O, period:O, to:O, hours:O, or:O, even:O, minutes:O, ,:O, significantly:O, lessening:O, the:O, potential:O, impact:O, of:O, persistent:O, attacker:O, access:O, to: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: 'Windows Defender ATP provides extensive information about activity groups responsible for the attacks , enabling customers to understand aspects of the attack that may not be obtained by network and endpoint sensors , such as common social engineering lures and the regional nature of an attack .' [/INST] [Windows:B-TOOL, Defender:I-TOOL, ATP:E-TOOL, provides:O, extensive:O, information:O, about:O, activity:O, groups:O, responsible:O, for:O, the:O, attacks:O, ,:O, enabling:O, customers:O, to:O, understand:O, aspects:O, of:O, the:O, attack:O, that:O, may:O, not:O, be:O, obtained:O, by:O, network:O, and:O, endpoint:O, sensors:O, ,:O, such:O, as:O, common:O, social:O, engineering:O, lures:O, and:O, the:O, regional:O, nature:O, of:O, an: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: 'With relevant visualized information , analysts are able to study malware behavior on impacted machines , so they can investigate further and plan out their response .' [/INST] [With:O, relevant:B-TOOL, visualized:I-TOOL, information:E-TOOL, ,:O, analysts:O, are:O, able:O, to:O, study:O, malware:O, behavior:O, on:O, impacted:O, machines:O, ,:O, so:O, they:O, can:O, investigate:O, further:O, and:O, plan:O, out:O, their:O, response:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Detecting threat actors in recent German industrial attacks with Windows Defender ATP .' [/INST] [Detecting:O, threat:O, actors:O, in:O, recent:O, German:S-LOC, industrial:O, attacks:O, with:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-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: 'Detecting threat actors in recent German industrial attacks with Windows Defender ATP .' [/INST] [Detecting:O, threat:O, actors:O, in:O, recent:O, German:S-LOC, industrial:O, attacks:O, with:O, Windows:B-TOOL, Defender:I-TOOL, ATP:E-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: 'Downeks and Quasar RAT Used in Recent Targeted Attacks Against Governments .' [/INST] [Downeks:S-MAL, and:O, Quasar:B-MAL, RAT:E-MAL, Used:O, in:O, Recent:O, Targeted:O, Attacks:O, Against:O, Governments:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Palo Alto Networks Traps Advanced Endpoint Protection recently prevented recent attacks that we believe are part of a campaign linked to DustySky .' [/INST] [Palo:B-IDTY, Alto:I-IDTY, Networks:I-IDTY, Traps:I-IDTY, Advanced:I-IDTY, Endpoint:I-IDTY, Protection:E-IDTY, recently:O, prevented:O, recent:O, attacks:O, that:O, we:O, believe:O, are:O, part:O, of:O, a:O, campaign:O, linked:O, to:O, DustySky:S-ACT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'DustySky is a campaign which others have attributed to the Gaza Cybergang group , a group that targets government interests in the region .' [/INST] [DustySky:S-ACT, is:O, a:O, campaign:O, which:O, others:O, have:O, attributed:O, to:O, the:O, Gaza:B-APT, Cybergang:I-APT, group:E-APT, ,:O, a:O, group:O, that:O, targets:O, government:O, interests:O, in:O, the:O, 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: 'This report shares our researchers ’ analysis of the attack and Remote Access Tool ( RAT ) .' [/INST] [This:O, report:O, shares:O, our:O, researchers:O, ’:O, analysis:O, of:O, the:O, attack:O, and:O, Remote:B-TOOL, Access:I-TOOL, Tool:E-TOOL, (:O, RAT:E-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: 'We also discovered during our research that the RAT Server used by this attacker is itself vulnerable to remote attack , a double-edged sword for these attackers .' [/INST] [We:O, also:O, discovered:O, during:O, our:O, research:O, that:O, the:O, RAT:S-TOOL, Server:O, used:O, by:O, this:O, attacker:O, is:O, itself:O, vulnerable:O, to:O, remote:O, attack:O, ,:O, a:O, double-edged:O, sword:O, for:O, these:O, attackers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 initial infection vector in this attack is not clear , but it results in installing the “ Downeks ” downloader , which in turn infects the victim computer with the “ Quasar ” RAT .' [/INST] [The:O, initial:O, infection:O, vector:O, in:O, this:O, attack:O, is:O, not:O, clear:O, ,:O, but:O, it:O, results:O, in:O, installing:O, the:O, “:O, Downeks:S-MAL, ”:O, downloader:O, ,:O, which:O, in:O, turn:O, infects:O, the:O, victim:O, computer:O, with:O, the:O, “:O, Quasar:S-MAL, ”:O, RAT:S-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: 'Downeks uses third party websites to determine the external IP of the victim machine , possibly to determine victim location with GeoIP .' [/INST] [Downeks:S-MAL, uses:O, third:B-TOOL, party:I-TOOL, websites:E-TOOL, to:O, determine:O, the:O, external:O, IP:O, of:O, the:O, victim:O, machine:O, ,:O, possibly:O, to:O, determine:O, victim:O, location:O, with:O, GeoIP:S-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: 'It also drops decoy documents in an attempt to camouflage the attack .' [/INST] [It:O, also:O, drops:O, decoy:O, documents:O, in:O, an:O, attempt:O, to:O, camouflage:O, the: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: 'Quasar is a .NET Framework-based open-source RAT .' [/INST] [Quasar:S-MAL, is:O, a:O, .NET:S-TOOL, Framework-based:O, open-source:O, RAT:S-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 attackers invested significant effort in attempting to hide the tool by changing the source code of the RAT and the RAT server , and by using an obfuscator and packer .' [/INST] [The:O, attackers:O, invested:O, significant:O, effort:O, in:O, attempting:O, to:O, hide:O, the:O, tool:O, by:O, changing:O, the:O, source:O, code:O, of:O, the:O, RAT:S-TOOL, and:O, the:O, RAT:S-TOOL, server:O, ,:O, and:O, by:O, using:O, an:O, obfuscator:O, and:O, packer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Unit 42 researchers observed the Quasar RA being prevented from executing on a Traps-protected client in September 2016 .' [/INST] [Unit:O, 42:O, researchers:O, observed:O, the:O, Quasar:B-TOOL, RA:E-TOOL, being:O, prevented:O, from:O, executing:O, on:O, a:O, Traps-protected:O, client:O, in:O, September:B-TIME, 2016:E-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: 'We observed these Quasar samples :' [/INST] [We:O, observed:O, these:O, Quasar:S-MAL, samples:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'f-secure.exe : 99a7cb43fb2898810956b6137d803c8f97651e23f9f13e91887f188749bd5e8f connects to hnoor.newphoneapp.com .' [/INST] [f-secure.exe:S-FILE, ::O, 99a7cb43fb2898810956b6137d803c8f97651e23f9f13e91887f188749bd5e8f:S-SHA2, connects:O, to:O, hnoor.newphoneapp.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'HD_Audio.exe : 0c4aa50c95c990d5c5c55345626155b87625986881a2c066ce032af6871c426a connects to manual.newphoneapp.com .' [/INST] [HD_Audio.exe:S-FILE, ::O, 0c4aa50c95c990d5c5c55345626155b87625986881a2c066ce032af6871c426a:S-SHA2, connects:O, to:O, manual.newphoneapp.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'HD_Audio.exe : 86bd78b4c8c94c046d927fb29ae0b944bf2a8513a378b51b3977b77e59a52806 crashes upon execution . sim.exe 723108103ccb4c166ad9cdff350de6a898489f1dac7eeab23c52cd48b9256a42 connects to hnoor.newphoneapp.com .' [/INST] [HD_Audio.exe:S-FILE, ::O, 86bd78b4c8c94c046d927fb29ae0b944bf2a8513a378b51b3977b77e59a52806:S-SHA2, crashes:O, upon:O, execution:O, .:O, sim.exe:S-FILE, 723108103ccb4c166ad9cdff350de6a898489f1dac7eeab23c52cd48b9256a42:S-SHA2, connects:O, to:O, hnoor.newphoneapp.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Further research found other Quasar examples , an attack earlier in the month 2016 on the same target :' [/INST] [Further:O, research:O, found:O, other:O, Quasar:S-MAL, examples:O, ,:O, an:O, attack:S-ACT, earlier:O, in:O, the:O, month:O, 2016:S-TIME, on:O, the:O, same:O, target:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'SHA256 : 1ac624aaf6bbc2e3b966182888411f92797bd30b6fcce9f8a97648e64f13506f .' [/INST] [SHA256:S-ENCR, ::O, 1ac624aaf6bbc2e3b966182888411f92797bd30b6fcce9f8a97648e64f13506f:S-SHA2, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the same Quasar code in an additional attack on the same day , but upon a different target .' [/INST] [We:O, found:O, the:O, same:O, Quasar:S-MAL, code:O, in:O, an:O, additional:O, attack:O, on:O, the:O, same:O, day:O, ,:O, but:O, upon:O, a:O, different:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A second Quasar sample was also observed attacking this new victim :' [/INST] [A:O, second:O, Quasar:S-MAL, sample:O, was:O, also:O, observed:O, attacking:O, this:O, new: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: 'SHA256 : 99a7cb43fb2898810956b6137d803c8f97651e23f9f13e91887f188749bd5e8f .' [/INST] [SHA256:S-ENCR, ::O, 99a7cb43fb2898810956b6137d803c8f97651e23f9f13e91887f188749bd5e8f:S-SHA2, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 do not have detailed visibility into the specific host attacked , and have not been able to reproduce the second stage of the attack in our lab .' [/INST] [We:O, do:O, not:O, have:O, detailed:O, visibility:O, into:O, the:O, specific:O, host:O, attacked:O, ,:O, and:O, have:O, not:O, been:O, able:O, to:O, reproduce:O, the:O, second:O, stage:O, of:O, the:O, attack:O, in:O, our:O, lab:O, .:O] </s> |