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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: 'Confucius' backdoors are delivered through Office documents exploiting memory corruption vulnerabilities CVE-2015-1641 and CVE-2017-11882 .' [/INST] [Confucius':B-Tool, backdoors:O, are:O, delivered:O, through:O, Office:O, documents:O, exploiting:O, memory:O, corruption:O, vulnerabilities:O, CVE-2015-1641:B-Exp, and:O, CVE-2017-11882:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The sctrls backdoor we came across is delivered via RTF files exploiting CVE-2015-1641 .' [/INST] [The:O, sctrls:B-Tool, backdoor:I-Tool, we:O, came:O, across:O, is:O, delivered:O, via:O, RTF:B-Way, files:I-Way, exploiting:O, CVE-2015-1641: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 documents that exploit CVE2017-11882 download another payload — an HTML Application ( HTA ) file toting a malicious Visual Basic ( VBS ) script — from the server , which is executed accordingly by the command-line tool mshta.exe .' [/INST] [The:O, documents:O, that:O, exploit:O, CVE2017-11882:B-Exp, download:O, another:O, payload:O, —:O, an:O, HTML:B-Tool, Application:I-Tool, (:O, HTA:B-SamFile, ):O, file:O, toting:O, a:O, malicious:O, Visual:O, Basic:O, (:O, VBS:O, ):O, script:O, —:O, from:O, the:O, server:O, ,:O, which:O, is:O, executed:O, accordingly:O, by:O, the:O, command-line:O, tool:O, mshta.exe: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: 'Hackers use the exploits , Nitris Exploit Kit , ( earlier known as CottonCastle ) , which is not available in open sources and sold only to trusted users .' [/INST] [Hackers:O, use:O, the:O, exploits:O, ,:O, Nitris:B-Exp, Exploit:I-Exp, Kit:I-Exp, ,:O, (:O, earlier:O, known:O, as:O, CottonCastle:B-Exp, ):O, ,:O, which:O, is:O, not:O, available:O, in:O, open:O, sources:O, and:O, sold:O, only:O, to:O, trusted: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: 'Hackers first actively spread bots using the Niteris exploit , and then search for infected devices at banks amongst their bots by analyzing IP addresses , cracked passwords and results of the modules performance .' [/INST] [Hackers:O, first:O, actively:O, spread:O, bots:O, using:O, the:O, Niteris:B-Exp, exploit:I-Exp, ,:O, and:O, then:O, search:O, for:O, infected:O, devices:O, at:O, banks:B-Idus, amongst:O, their:O, bots:O, by:O, analyzing:O, IP:O, addresses:O, ,:O, cracked:O, passwords:O, and:O, results:O, of:O, the:O, modules:O, performance:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 August 2014 , some of our users observed targeted attacks with a variation of CVE-2012-0158 and an unusual set of malware .' [/INST] [In:O, August:B-Time, 2014:I-Time, ,:O, some:O, of:O, our:O, users:O, observed:O, targeted:B-OffAct, attacks:I-OffAct, with:O, a:O, variation:O, of:O, CVE-2012-0158:B-Exp, and:O, an:O, unusual:O, set:O, of: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: 'Longhorn , which we internally refer to as , The Lamberts , , first came to the attention of the ITSec community in 2014 , when our colleagues from FireEye discovered an attack using a zero day vulnerability ( CVE-2014-4148 ) .' [/INST] [Longhorn:O, ,:O, which:O, we:O, internally:O, refer:O, to:O, as:O, ,:O, The:B-HackOrg, Lamberts:I-HackOrg, ,:O, ,:O, first:O, came:O, to:O, the:O, attention:O, of:O, the:O, ITSec:B-SecTeam, community:I-SecTeam, in:O, 2014:B-Time, ,:O, when:O, our:O, colleagues:O, from:O, FireEye:B-SecTeam, discovered:O, an:O, attack:B-OffAct, using:O, a:O, zero:B-Exp, day:I-Exp, vulnerability:I-Exp, (:O, CVE-2014-4148: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: 'The first time the Lambert family malware was uncovered publicly was in October 2014 , when FireEye posted a blog about a zero day exploit ( CVE-2014-4148 ) used in the wild .' [/INST] [The:O, first:O, time:O, the:O, Lambert:B-Tool, family:I-Tool, malware:I-Tool, was:O, uncovered:O, publicly:O, was:O, in:O, October:B-Time, 2014:I-Time, ,:O, when:O, FireEye:B-SecTeam, posted:O, a:O, blog:O, about:O, a:O, zero:B-Exp, day:I-Exp, exploit:I-Exp, (:O, CVE-2014-4148:B-Exp, ):O, used:O, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While in most cases the infection vector remains unknown , the high profile attack from 2014 used a very complex Windows TTF zero-day exploit ( CVE-2014-4148 ) .' [/INST] [While:O, in:O, most:O, cases:O, the:O, infection:O, vector:O, remains:O, unknown:O, ,:O, the:O, high:B-OffAct, profile:I-OffAct, attack:I-OffAct, from:O, 2014:B-Time, used:O, a:O, very:O, complex:O, Windows:O, TTF:O, zero-day:B-Exp, exploit:I-Exp, (:O, CVE-2014-4148: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: 'To further exemplify the proficiency of the attackers leveraging the Lamberts toolkit , deployment of Black Lambert included a rather sophisticated TTF zero day exploit , CVE-2014-4148 .' [/INST] [To:O, further:O, exemplify:O, the:O, proficiency:O, of:O, the:O, attackers:O, leveraging:O, the:O, Lamberts:B-Tool, toolkit:I-Tool, ,:O, deployment:O, of:O, Black:B-Tool, Lambert:I-Tool, included:O, a:O, rather:O, sophisticated:O, TTF:O, zero:B-Exp, day:I-Exp, exploit:I-Exp, ,:O, CVE-2014-4148:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This sample was also found to be deployed using the CVE-2012-0158 vulnerability .' [/INST] [This:O, sample:O, was:O, also:O, found:O, to:O, be:O, deployed:O, using:O, the:O, CVE-2012-0158:B-Exp, vulnerability:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our analysis shows that actors attempted to exploit CVE-2012-0158 to install NetTraveler Trojan .' [/INST] [Our:O, analysis:O, shows:O, that:O, actors:O, attempted:O, to:O, exploit:O, CVE-2012-0158:B-Exp, to:O, install:O, NetTraveler:B-Tool, Trojan: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: 'Unit 42 's analysis shows that NetTraveler attempted to exploit CVE-2012-0158 to install NetTraveler Trojan .' [/INST] [Unit:B-SecTeam, 42:I-SecTeam, 's:O, analysis:O, shows:O, that:O, NetTraveler:B-Tool, attempted:O, to:O, exploit:O, CVE-2012-0158:B-Exp, to:O, install:O, NetTraveler:B-Tool, Trojan: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: 'Our analysis shows that NetTraveler attempted to exploit CVE-2012-0158 to install NetTraveler Trojan .' [/INST] [Our:O, analysis:O, shows:O, that:O, NetTraveler:B-Tool, attempted:O, to:O, exploit:O, CVE-2012-0158:B-Exp, to:O, install:O, NetTraveler:B-Tool, Trojan: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: 'In this report , we'll review how the actors attempted to exploit CVE-2012-0158 to install the NetTraveler Trojan .' [/INST] [In:O, this:O, report:O, ,:O, we'll:O, review:O, how:O, the:O, actors:O, attempted:O, to:O, exploit:O, CVE-2012-0158:B-Exp, to:O, install:O, the:O, NetTraveler:B-Tool, Trojan: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: 'In this report , we'll review how NetTraveler attempted to exploit CVE-2012-0158 to install the NetTraveler Trojan .' [/INST] [In:O, this:O, report:O, ,:O, we'll:O, review:O, how:O, NetTraveler:B-Tool, attempted:O, to:O, exploit:O, CVE-2012-0158:B-Exp, to:O, install:O, the:O, NetTraveler:B-Tool, Trojan: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: 'In this report , we'll review how the NetTraveler attempted to exploit CVE-2012-0158 to install the NetTraveler Trojan .' [/INST] [In:O, this:O, report:O, ,:O, we'll:O, review:O, how:O, the:O, NetTraveler:B-Tool, attempted:O, to:O, exploit:O, CVE-2012-0158:B-Exp, to:O, install:O, the:O, NetTraveler:B-Tool, Trojan: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: 'Kaspersky Lab 's products detect the Microsoft Office exploits used in the spear-phishing attacks , including Exploit.MSWord.CVE-2010-333 , Exploit.Win32.CVE-2012-0158 .' [/INST] [Kaspersky:B-SecTeam, Lab:I-SecTeam, 's:O, products:O, detect:O, the:O, Microsoft:B-Exp, Office:I-Exp, exploits:I-Exp, used:O, in:O, the:O, spear-phishing:B-OffAct, attacks:I-OffAct, ,:O, including:O, Exploit.MSWord.CVE-2010-333:B-SamFile, ,:O, Exploit.Win32.CVE-2012-0158: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: 'The files exploit the well-known Microsoft Office vulnerability , CVE-2012-0158 , to execute malicious code in order to take control of the targeted systems .' [/INST] [The:O, files:B-SamFile, exploit:O, the:O, well-known:O, Microsoft:B-Exp, Office:I-Exp, vulnerability:I-Exp, ,:O, CVE-2012-0158:B-Exp, ,:O, to:O, execute:O, malicious:O, code:O, in:O, order:O, to:O, take:B-Features, control:I-Features, of:O, the:O, targeted:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Earlier this month , Securelist 's technology caught another zero-day Adobe Flash Player exploit deployed in targeted attacks .' [/INST] [Earlier:O, this:O, month:O, ,:O, Securelist:B-SecTeam, 's:O, technology:O, caught:O, another:O, zero-day:B-Exp, Adobe:I-Exp, Flash:I-Exp, Player:I-Exp, exploit:I-Exp, deployed:O, in:O, targeted:B-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Operation Daybreak appears to have been launched by ScarCruft in March 2016 and employs a previously unknown ( 0-day ) Adobe Flash Player exploit .' [/INST] [Operation:B-OffAct, Daybreak:I-OffAct, appears:O, to:O, have:O, been:O, launched:O, by:O, ScarCruft:O, in:O, March:B-Time, 2016:I-Time, and:O, employs:O, a:O, previously:O, unknown:O, (:O, 0-day:B-Exp, ):O, Adobe:B-Exp, Flash:I-Exp, Player:I-Exp, exploit:I-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Adobe Flash Player exploit .' [/INST] [Adobe:B-Exp, Flash:I-Exp, Player:I-Exp, exploit:I-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It is also possible that ScarCruft deployed another zero day exploit , CVE-2016-0147 , which was patched in April .' [/INST] [It:O, is:O, also:O, possible:O, that:O, ScarCruft:B-HackOrg, deployed:O, another:O, zero:B-Exp, day:I-Exp, exploit:I-Exp, ,:O, CVE-2016-0147:B-Exp, ,:O, which:O, was:O, patched:O, in:O, April:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Operation Erebus leverages another Flash Player exploit ( CVE-2016-4117 ) through the use of watering hole attacks .' [/INST] [Operation:B-OffAct, Erebus:I-OffAct, leverages:O, another:O, Flash:B-Exp, Player:I-Exp, exploit:I-Exp, (:O, CVE-2016-4117:B-Exp, ):O, through:O, the:O, use:O, of:O, watering:B-OffAct, hole:I-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ScarCruft 's Operation Erebus leverages another Flash Player exploit ( CVE-2016-4117 ) through the use of watering hole attacks .' [/INST] [ScarCruft:B-HackOrg, 's:O, Operation:B-OffAct, Erebus:I-OffAct, leverages:O, another:O, Flash:B-Exp, Player:I-Exp, exploit:I-Exp, (:O, CVE-2016-4117:B-Exp, ):O, through:O, the:O, use:O, of:O, watering:B-OffAct, hole:I-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Nevertheless , resourceful threat actors such as ScarCruft will probably continue to deploy zero-day exploits against their high profile targets .' [/INST] [Nevertheless:O, ,:O, resourceful:O, threat:O, actors:O, such:O, as:O, ScarCruft:B-HackOrg, will:O, probably:O, continue:O, to:O, deploy:O, zero-day:B-Exp, exploits:I-Exp, against:O, their:O, high:O, profile:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This malware uses the public privilege escalation exploit code CVE-2018-8120 or UACME which is normally used by legitimate red teams .' [/INST] [This:O, malware:O, uses:O, the:O, public:O, privilege:O, escalation:O, exploit:O, code:O, CVE-2018-8120:B-Exp, or:O, UACME:B-Tool, which:O, is:O, normally:O, used:O, by:O, legitimate:O, red:O, teams:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Earlier this month , we caught another zero-day Adobe Flash Player exploit deployed in targeted attacks .' [/INST] [Earlier:O, this:O, month:O, ,:O, we:O, caught:O, another:O, zero-day:B-Exp, Adobe:I-Exp, Flash:I-Exp, Player:I-Exp, exploit:I-Exp, deployed:O, in:O, targeted:B-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The other one , ScarCruft 's Operation Erebus employs an older exploit , for CVE-2016-4117 and leverages watering holes .' [/INST] [The:O, other:O, one:O, ,:O, ScarCruft:O, 's:O, Operation:B-OffAct, Erebus:I-OffAct, employs:O, an:O, older:O, exploit:O, ,:O, for:O, CVE-2016-4117:B-Exp, and:O, leverages:O, watering:B-Way, holes: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: 'The other one , , Operation Erebus , employs an older exploit , for CVE-2016-4117 and leverages watering holes .' [/INST] [The:O, other:O, one:O, ,:O, ,:O, Operation:B-OffAct, Erebus:I-OffAct, ,:O, employs:O, an:O, older:O, exploit:O, ,:O, for:O, CVE-2016-4117:B-Exp, and:O, leverages:O, watering:B-Way, holes: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: 'The ScarCruft APT gang has made use of a Flash zero day patched Thursday by Adobe to attack more than two dozen high-profile targets in Russia and Asia primarily .' [/INST] [The:O, ScarCruft:O, APT:O, gang:O, has:O, made:O, use:O, of:O, a:O, Flash:B-Exp, zero:I-Exp, day:I-Exp, patched:O, Thursday:O, by:O, Adobe:O, to:O, attack:O, more:O, than:O, two:O, dozen:O, high-profile:O, targets:O, in:O, Russia:B-Area, and:O, Asia:B-Area, primarily:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Adobe on Thursday patched a zero-day vulnerability in Flash Player that has been used in targeted attacks carried out by a new APT group operating primarily against high-profile victims in Russia and Asia .' [/INST] [Adobe:O, on:O, Thursday:O, patched:O, a:O, zero-day:B-Exp, vulnerability:I-Exp, in:O, Flash:O, Player:O, that:O, has:O, been:O, used:O, in:O, targeted:B-OffAct, attacks:I-OffAct, carried:O, out:O, by:O, a:O, new:O, APT:O, group:O, operating:O, primarily:O, against:O, high-profile:O, victims:O, in:O, Russia:B-Area, and:O, Asia:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Researchers at Kaspersky Lab privately disclosed the flaw to Adobe after exploits against the zero-day were used in March by the ScarCruft APT gang in what Kaspersky Lab is calling Operation Daybreak .' [/INST] [Researchers:O, at:O, Kaspersky:B-SecTeam, Lab:I-SecTeam, privately:O, disclosed:O, the:O, flaw:O, to:O, Adobe:O, after:O, exploits:O, against:O, the:O, zero-day:B-Exp, were:O, used:O, in:O, March:B-Time, by:O, the:O, ScarCruft:O, APT:O, gang:O, in:O, what:O, Kaspersky:B-SecTeam, Lab:I-SecTeam, is:O, calling:O, Operation:B-OffAct, Daybreak:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Kaspersky speculates that ScarCruft could also be behind another zero-day , CVE-2016-0147 , a vulnerability in Microsoft XML Core Services that was patched in April .' [/INST] [Kaspersky:B-SecTeam, speculates:O, that:O, ScarCruft:B-HackOrg, could:O, also:O, be:O, behind:O, another:O, zero-day:B-Exp, ,:O, CVE-2016-0147:B-Exp, ,:O, a:O, vulnerability:O, in:O, Microsoft:O, XML:O, Core:O, Services:O, that:O, was:O, patched:O, in:O, April:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Another set of attacks called Operation Erebus leverages another Flash exploit , CVE-2016-4117 , and relies on watering hole attacks as a means of propagation .' [/INST] [Another:O, set:O, of:O, attacks:B-OffAct, called:O, Operation:B-OffAct, Erebus:I-OffAct, leverages:O, another:O, Flash:B-Exp, exploit:I-Exp, ,:O, CVE-2016-4117:B-Exp, ,:O, and:O, relies:O, on:O, watering:B-OffAct, hole:I-OffAct, attacks:I-OffAct, as:O, a:O, means:O, of:O, propagation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Thursday 's Flash Player update patched 36 vulnerabilities in total including the zero day CVE-2016-4171 .' [/INST] [Thursday:O, 's:O, Flash:O, Player:O, update:O, patched:O, 36:O, vulnerabilities:O, in:O, total:O, including:O, the:O, zero:B-Exp, day:I-Exp, CVE-2016-4171: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: 'Wild Neutron 's attacks in 2015 uses a stolen code signing certificate belonging to Taiwanese electronics maker Acer and an unknown Flash Player exploit .' [/INST] [Wild:B-HackOrg, Neutron:I-HackOrg, 's:O, attacks:B-OffAct, in:O, 2015:B-Time, uses:O, a:O, stolen:B-Tool, code:I-Tool, signing:I-Tool, certificate:I-Tool, belonging:O, to:O, Taiwanese:B-Area, electronics:B-Idus, maker:O, Acer:O, and:O, an:O, unknown:O, Flash:B-Exp, Player:I-Exp, exploit:I-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Wild Neutron 's attack took advantage of a Java zero-day exploit and used hacked forums as watering holes .' [/INST] [Wild:B-HackOrg, Neutron:I-HackOrg, 's:O, attack:B-OffAct, took:O, advantage:O, of:O, a:O, Java:B-Exp, zero-day:I-Exp, exploit:I-Exp, and:O, used:O, hacked:O, forums:O, as:O, watering:B-Way, holes: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: 'Instead of Flash exploits , older Wild Neutron exploitation and watering holes used what was a Java zero-day at the end of 2012 and the beginning of 2013 , detected by Kaspersky Lab products as Exploit.Java.CVE-2012-3213.b .' [/INST] [Instead:O, of:O, Flash:B-Exp, exploits:I-Exp, ,:O, older:O, Wild:O, Neutron:O, exploitation:O, and:O, watering:B-Way, holes:I-Way, used:O, what:O, was:O, a:O, Java:B-Exp, zero-day:I-Exp, at:O, the:O, end:B-Time, of:I-Time, 2012:I-Time, and:O, the:O, beginning:B-Time, of:I-Time, 2013:I-Time, ,:O, detected:O, by:O, Kaspersky:B-SecTeam, Lab:I-SecTeam, products:O, as:O, Exploit.Java.CVE-2012-3213.b:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In that case , we observed Buhtrap using a local privilege escalation exploit , CVE-2019-1132 , against one of its victims .' [/INST] [In:O, that:O, case:O, ,:O, we:O, observed:O, Buhtrap:B-HackOrg, using:O, a:O, local:O, privilege:O, escalation:O, exploit:O, ,:O, CVE-2019-1132:B-Exp, ,:O, against:O, one:O, of:O, its:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Prior to that report , we published detail analysis on malware exploiting CVE-2018-8414 vulnerability (remote code execution in SettingContent-ms) , which is believed a work of DarkHydrus .' [/INST] [Prior:O, to:O, that:O, report:O, ,:O, we:O, published:O, detail:O, analysis:O, on:O, malware:O, exploiting:O, CVE-2018-8414:B-Exp, vulnerability:O, (remote:O, code:O, execution:O, in:O, SettingContent-ms):O, ,:O, which:O, is:O, believed:O, a:O, work:O, of:O, DarkHydrus: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: 'WannaCry incorporated the leaked EternalBlue exploit that used two known vulnerabilities in Windows CVE-2017-0144 and CVE-2017-0145 to turn the ransomware into a worm , capable of spreading itself to any unpatched computers on the victim's network and also to other vulnerable computers connected to the internet .' [/INST] [WannaCry:B-OffAct, incorporated:O, the:O, leaked:O, EternalBlue:O, exploit:O, that:O, used:O, two:O, known:O, vulnerabilities:O, in:O, Windows:O, CVE-2017-0144:B-Exp, and:O, CVE-2017-0145:B-Exp, to:O, turn:O, the:O, ransomware:O, into:O, a:O, worm:O, ,:O, capable:O, of:O, spreading:O, itself:O, to:O, any:O, unpatched:O, computers:O, on:O, the:O, victim's:O, network:O, and:O, also:O, to:O, other:O, vulnerable:O, computers:O, connected:O, to:O, the:O, internet:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One vulnerability is a Windows zero-day vulnerability (CVE-2019-0703) discovered by Symantec .' [/INST] [One:O, vulnerability:O, is:O, a:O, Windows:O, zero-day:B-Exp, vulnerability:I-Exp, (CVE-2019-0703):O, discovered:O, by:O, Symantec: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: 'Bemstour exploits two Windows vulnerabilities in order to achieve remote kernel code execution on targeted computers .' [/INST] [Bemstour:B-HackOrg, exploits:O, two:O, Windows:O, vulnerabilities:B-Exp, in:O, order:O, to:O, achieve:O, remote:O, kernel:O, code:O, execution:O, on:O, targeted:O, computers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Windows vulnerability (CVE-2017-0143) was patched in March 2017 after it was discovered to have been used by two exploit tools—EternalRomance and EternalSynergy—that were also released as part of the Shadow Brokers leak .' [/INST] [The:O, second:O, Windows:O, vulnerability:B-Exp, (CVE-2017-0143):O, was:O, patched:O, in:O, March:B-Time, 2017:I-Time, after:O, it:O, was:O, discovered:O, to:O, have:O, been:O, used:O, by:O, two:O, exploit:O, tools—EternalRomance:O, and:O, EternalSynergy—that:O, were:O, also:O, released:O, as:O, part:O, of:O, the:O, Shadow:B-HackOrg, Brokers:I-HackOrg, leak:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 include CVE-2010-3962 as part of an attack campaign in 2010 and CVE-2014-1776 in 2014 .' [/INST] [These:O, include:O, CVE-2010-3962:B-Exp, as:O, part:O, of:O, an:O, attack:B-OffAct, campaign:I-OffAct, in:O, 2010:B-Time, and:O, CVE-2014-1776:B-Exp, in:O, 2014:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Beginning in August 2016 , a group calling itself the Shadow Brokers began releasing tools it claimed to have originated from the Equation Group .' [/INST] [Beginning:O, in:O, August:B-Time, 2016:I-Time, ,:O, a:O, group:O, calling:O, itself:O, the:O, Shadow:B-HackOrg, Brokers:I-HackOrg, began:O, releasing:O, tools:O, it:O, claimed:O, to:O, have:O, originated:O, from:O, the:O, Equation:B-HackOrg, Group:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 zero-day vulnerability found and reported by Symantec (CVE-2019-0703) occurs due to the way the Windows SMB Server handles certain requests .' [/INST] [The:O, zero-day:O, vulnerability:O, found:O, and:O, reported:O, by:O, Symantec:B-SecTeam, (CVE-2019-0703):B-Exp, occurs:O, due:O, to:O, the:O, way:O, the:O, Windows:O, SMB:O, Server:O, handles:O, certain:O, requests:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CVE-2017-0143 was also used by two other exploit tools—EternalRomance and EternalSynergy—that were released as part of the Shadow Brokers leak in April 2017 .' [/INST] [CVE-2017-0143:B-Exp, was:O, also:O, used:O, by:O, two:O, other:O, exploit:O, tools—EternalRomance:B-SamFile, and:O, EternalSynergy—that:B-SamFile, were:O, released:O, as:O, part:O, of:O, the:O, Shadow:O, Brokers:O, leak:O, in:O, April: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: 'this RTF exploits again the CVE-2017_1882 on eqnedt32.exe .' [/INST] [this:O, RTF:B-SamFile, exploits:O, again:O, the:O, CVE-2017_1882:B-Exp, on:O, eqnedt32.exe: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: 'At this time , we do not believe that the attackers found a new ASA exploit .' [/INST] [At:O, this:O, time:O, ,:O, we:B-SecTeam, do:O, not:O, believe:O, that:O, the:O, attackers:B-HackOrg, found:O, a:O, new:O, ASA:B-Exp, exploit: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: 'We believe the groups moved to use CVE-2018-0798 instead of the other Microsoft Equation Editor Remote Code Execution (RCE) vulnerabilities because the former is more reliable as it works on all known versions of Equation Editor .' [/INST] [We:O, believe:O, the:O, groups:B-HackOrg, moved:O, to:O, use:O, CVE-2018-0798:B-Exp, instead:O, of:O, the:O, other:O, Microsoft:O, Equation:O, Editor:O, Remote:O, Code:O, Execution:O, (RCE):O, vulnerabilities:O, because:O, the:O, former:O, is:O, more:O, reliable:O, as:O, it:O, works:O, on:O, all:O, known:O, versions:O, of:O, Equation:O, Editor:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 analyzed RTF files share the same object dimension (objw2180\objh300) used to track the RTF weaponizer in our previous report , however , the sample was not exploiting CVE-2017-11882 or CVE-2018-0802 .' [/INST] [The:O, analyzed:O, RTF:O, files:O, share:O, the:O, same:O, object:O, dimension:O, (objw2180\objh300):O, used:O, to:O, track:O, the:O, RTF:O, weaponizer:O, in:O, our:O, previous:O, report:O, ,:O, however:O, ,:O, the:O, sample:B-SamFile, was:O, not:O, exploiting:O, CVE-2017-11882:B-Exp, or:O, CVE-2018-0802:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After further analysis , it was discovered that the RTF files were exploiting the CVE-2018-0798 vulnerability in Microsoft’s Equation Editor (EQNEDT32) .' [/INST] [After:O, further:O, analysis:O, ,:O, it:O, was:O, discovered:O, that:O, the:O, RTF:B-SamFile, files:I-SamFile, were:O, exploiting:O, the:O, CVE-2018-0798:B-Exp, vulnerability:O, in:O, Microsoft’s:O, Equation:O, Editor:O, (EQNEDT32):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Anomali Researchers were able to identify multiple samples of malicious RTF documents ITW using the same exploit for CVE-2018-0798 .' [/INST] [Anomali:B-SecTeam, Researchers:O, were:O, able:O, to:O, identify:O, multiple:O, samples:O, of:O, malicious:O, RTF:O, documents:O, ITW:B-SamFile, using:O, the:O, same:O, exploit:O, for:O, CVE-2018-0798: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: 'CVE-2018-0798 is an RCE vulnerability , a stack buffer overflow that can be exploited by a threat actor to perform stack corruption .' [/INST] [CVE-2018-0798:B-Exp, is:O, an:O, RCE:O, vulnerability:O, ,:O, a:O, stack:O, buffer:O, overflow:O, that:O, can:O, be:O, exploited:O, by:O, a:O, threat:B-HackOrg, actor:I-HackOrg, to:O, perform:O, stack:O, corruption:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 observed previously with CVE-2017-11882 and CVE-2018-0802 , the weaponizer was used exclusively by Chinese cyber espionage actors for approximately one year December 2017 through December 2018 , after which cybercrime actors began to incorporate it in their malicious activity .' [/INST] [As:O, observed:O, previously:O, with:O, CVE-2017-11882:B-Exp, and:O, CVE-2018-0802:B-Exp, ,:O, the:O, weaponizer:B-Tool, was:O, used:O, exclusively:O, by:O, Chinese:O, cyber:O, espionage:O, actors:B-HackOrg, for:O, approximately:O, one:O, year:O, December:B-Time, 2017:I-Time, through:O, December:B-Time, 2018:I-Time, ,:O, after:O, which:O, cybercrime:O, actors:O, began:O, to:O, incorporate:O, it:O, in:O, their:O, malicious: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: 'Analysis of the Royal Road weaponizer has resulted in the discovery that multiple Chinese threat groups started utilizing CVE-2018-0798 in their RTF weaponizer .' [/INST] [Analysis:O, of:O, the:O, Royal:O, Road:O, weaponizer:O, has:O, resulted:O, in:O, the:O, discovery:O, that:O, multiple:O, Chinese:O, threat:B-HackOrg, groups:I-HackOrg, started:O, utilizing:O, CVE-2018-0798:B-Exp, in:O, their:O, RTF:B-Tool, weaponizer: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: 'These findings also suggest that the threat groups have robust exploit developing capabilities because CVE-2018-0798 is not widely reported on and it is typically not incorporated into publicly available weaponizers .' [/INST] [These:O, findings:O, also:O, suggest:O, that:O, the:O, threat:B-HackOrg, groups:I-HackOrg, have:O, robust:O, exploit:O, developing:O, capabilities:O, because:O, CVE-2018-0798:B-Exp, is:O, not:O, widely:O, reported:O, on:O, and:O, it:O, is:O, typically:O, not:O, incorporated:O, into:O, publicly:O, available:O, weaponizers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Upon opening of the MS Word document , our embedded file exploits CVE-2017-11882 to drop a malicious fake Norton Security Shell Extension module , 'NavShExt.dll' , which is then injected into iexplore.exe to install the backdoor , begin collection , and activate command and control .' [/INST] [Upon:O, opening:O, of:O, the:O, MS:O, Word:O, document:O, ,:O, our:O, embedded:O, file:O, exploits:O, CVE-2017-11882:B-Exp, to:O, drop:O, a:O, malicious:O, fake:O, Norton:O, Security:O, Shell:O, Extension:O, module:O, ,:O, 'NavShExt.dll':B-SamFile, ,:O, which:O, is:O, then:O, injected:O, into:O, iexplore.exe:B-SamFile, to:O, install:O, the:O, backdoor:O, ,:O, begin:O, collection:O, ,:O, and:O, activate: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: 'Moving through the infection process , NetWitness Endpoint detects the initial exploit CVE-2017-1182 in action as the Microsoft Equation Editor , 'EQNEDT32.exe' , scores high for potentially malicious activity .' [/INST] [Moving:O, through:O, the:O, infection:O, process:O, ,:O, NetWitness:O, Endpoint:O, detects:O, the:O, initial:O, exploit:O, CVE-2017-1182:B-Exp, in:O, action:O, as:O, the:O, Microsoft:B-SamFile, Equation:I-SamFile, Editor:I-SamFile, ,:O, 'EQNEDT32.exe':B-SamFile, ,:O, scores:O, high:O, for:O, potentially:O, malicious: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: 'Attackers relied on Microsoft Equation Editor exploit CVE-2018-0798 to deliver a custom malware that Proofpoint researchers have dubbed Cotx RAT Maudi Surveillance Operation which was previously reported in 2013 .' [/INST] [Attackers:B-HackOrg, relied:O, on:O, Microsoft:O, Equation:O, Editor:O, exploit:O, CVE-2018-0798:B-Exp, to:O, deliver:O, a:O, custom:O, malware:O, that:O, Proofpoint:O, researchers:O, have:O, dubbed:O, Cotx:O, RAT:O, Maudi:B-HackOrg, Surveillance:O, Operation:O, which:O, was:O, previously:O, reported:O, 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: 'specifically CVE-2018-0798 , before downloading subsequent payloads .' [/INST] [specifically:O, CVE-2018-0798:B-Exp, ,:O, before:O, downloading:O, subsequent:O, payloads:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dubbed ‘Operation Sheep’ , this massive data stealing campaign is the first known campaign seen in the wild to exploit the Man-in-the-Disk vulnerability revealed by Check Point Research earlier last year .' [/INST] [Dubbed:O, ‘Operation:B-HackOrg, Sheep’:I-HackOrg, ,:O, this:O, massive:B-Purp, data:I-Purp, stealing:I-Purp, campaign:O, is:O, the:O, first:O, known:O, campaign:O, seen:O, in:O, the:O, wild:O, to:O, exploit:O, the:O, Man-in-the-Disk:B-Exp, vulnerability:O, revealed:O, by:O, Check:O, Point:O, Research:O, earlier:O, last:O, year:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Notably , APT41 was observed using proof-of-concept exploit code for CVE-2019-3396 within 23 days after the Confluence .' [/INST] [Notably:O, ,:O, APT41:B-HackOrg, was:O, observed:O, using:B-Way, proof-of-concept:I-Way, exploit:B-Exp, code:O, for:O, CVE-2019-3396:B-Exp, within:O, 23:O, days:O, after:O, the:O, Confluence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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’ve discovered a new version of BalkanDoor with a new method for execution/installation: an exploit of the WinRAR ACE vulnerability CVE-2018-20250 .' [/INST] [We’ve:O, discovered:O, a:O, new:O, version:O, of:O, BalkanDoor:B-HackOrg, with:O, a:O, new:O, method:O, for:O, execution/installation::O, an:O, exploit:O, of:O, the:O, WinRAR:O, ACE:O, vulnerability:O, CVE-2018-20250:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In some of the latest samples of BalkanDoor detected in 2019 , the malware is distributed as an ACE archive , disguised as a RAR archive (i.e , not an executable file) , specially crafted to exploit the WinRAR ACE vulnerability CVE-2018-20250 .' [/INST] [In:O, some:O, of:O, the:O, latest:O, samples:O, of:O, BalkanDoor:B-SamFile, detected:O, in:O, 2019:B-Time, ,:O, the:O, malware:O, is:O, distributed:O, as:O, an:O, ACE:O, archive:O, ,:O, disguised:O, as:O, a:O, RAR:O, archive:O, (i.e:O, ,:O, not:O, an:O, executable:O, file):O, ,:O, specially:O, crafted:O, to:O, exploit:O, the:O, WinRAR:O, ACE:O, vulnerability:O, CVE-2018-20250: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 actor attempts to exploit CVE-2018–8440 — an elevation of privilege vulnerability in Windows when it improperly handles calls to Advanced Local Procedure Call — to elevate the privileges using a modified proof-of-concept exploit .' [/INST] [The:O, actor:B-HackOrg, attempts:O, to:O, exploit:O, CVE-2018–8440:B-Exp, —:O, an:O, elevation:O, of:O, privilege:O, vulnerability:B-Exp, in:O, Windows:O, when:O, it:O, improperly:O, handles:O, calls:O, to:O, Advanced:O, Local:O, Procedure:O, Call:O, —:O, to:O, elevate:O, the:O, privileges:O, using:O, a:O, modified:O, proof-of-concept:B-Exp, exploit: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 China Chopper actor activity starts with the download and execution of two exploit files which attempt to exploit the Windows vulnerabilities CVE-2015-0062 , CVE-2015-1701 and CVE-2016-0099 to allow the attacker to modify other objects on the server .' [/INST] [The:O, China:B-SamFile, Chopper:I-SamFile, actor:O, activity:O, starts:O, with:O, the:O, download:O, and:O, execution:O, of:O, two:O, exploit:O, files:O, which:O, attempt:O, to:O, exploit:O, the:O, Windows:O, vulnerabilities:O, CVE-2015-0062:B-Exp, ,:O, CVE-2015-1701:B-Exp, and:O, CVE-2016-0099:B-Exp, to:O, allow:O, the:O, attacker:B-HackOrg, to:O, modify:O, other:O, objects:O, on:O, the:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Previously , Cloud Atlas dropped its validator” implant named PowerShower” directly , after exploiting the Microsoft Equation vulnerability CVE-2017-11882 mixed with CVE-2018-0802 .' [/INST] [Previously:O, ,:O, Cloud:B-HackOrg, Atlas:I-HackOrg, dropped:O, its:O, validator”:O, implant:O, named:O, PowerShower”:O, directly:O, ,:O, after:O, exploiting:O, the:O, Microsoft:O, Equation:O, vulnerability:O, CVE-2017-11882:B-Exp, mixed:O, with:O, CVE-2018-0802:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The following archive caught our attention for exploiting a WinRAR unacev2 module vulnerability and for having interesting content .' [/INST] [The:O, following:O, archive:B-SamFile, caught:O, our:O, attention:O, for:O, exploiting:O, a:O, WinRAR:O, unacev2:O, module:O, vulnerability:B-Exp, and:O, for:O, having:O, interesting:O, content:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Mimikatz is a post-exploitation tool that allows attackers to extract credentials from volatile memory .' [/INST] [Mimikatz:B-SamFile, is:O, a:O, post-exploitation:O, tool:O, that:O, allows:O, attackers:O, to:O, extract:B-Features, credentials:I-Features, from:O, volatile:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Analysis of the emails has shown that the attachment contains an exploit for the CVE-2017-11882 vulnerability .' [/INST] [Analysis:O, of:O, the:O, emails:O, has:O, shown:O, that:O, the:O, attachment:O, contains:O, an:O, exploit:B-Exp, for:O, the:O, CVE-2017-11882:B-Exp, vulnerability:I-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The exploit installs Silence’s loader , designed to download backdoors and other malicious programs .' [/INST] [The:O, exploit:B-Exp, installs:O, Silence’s:B-HackOrg, loader:O, ,:O, designed:O, to:O, download:B-Features, backdoors:I-Features, and:O, other:O, malicious:O, programs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We believe Emissary Panda exploited a recently patched vulnerability in Microsoft SharePoint tracked by CVE-2019-0604 , which is a remote code execution vulnerability used to compromise the server and eventually install a webshell .' [/INST] [We:O, believe:O, Emissary:B-HackOrg, Panda:I-HackOrg, exploited:O, a:O, recently:O, patched:O, vulnerability:B-Exp, in:O, Microsoft:O, SharePoint:O, tracked:O, by:O, CVE-2019-0604:B-Exp, ,:O, which:O, is:O, a:O, remote:O, code:O, execution:O, vulnerability:O, used:O, to:O, compromise:O, the:O, server:O, and:O, eventually:O, install:O, a:O, webshell:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Of particular note is their use of tools to identify systems vulnerable to CVE-2017-0144 , which is the same vulnerability exploited by EternalBlue that is best known for its use in the WannaCry attacks of 2017 .' [/INST] [Of:O, particular:O, note:O, is:O, their:O, use:O, of:O, tools:O, to:O, identify:O, systems:O, vulnerable:O, to:O, CVE-2017-0144:B-Exp, ,:O, which:O, is:O, the:O, same:O, vulnerability:O, exploited:O, by:O, EternalBlue:B-OffAct, that:O, is:O, best:O, known:O, for:O, its:O, use:O, in:O, the:O, WannaCry:B-OffAct, attacks:I-OffAct, of:O, 2017: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: 'NetWire , DarkComet , NanoCore , LuminosityLink , Remcos and Imminent Monitor are all designed to provide remote access to compromised systems .' [/INST] [NetWire:B-Tool, ,:O, DarkComet:B-Tool, ,:O, NanoCore:B-Tool, ,:O, LuminosityLink:B-Tool, ,:O, Remcos:B-Tool, and:O, Imminent:B-Tool, Monitor:I-Tool, are:O, all:O, designed:O, to:O, provide:B-Features, remote:I-Features, access:I-Features, to:O, compromised:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The most common credential stealing tool used by the threat actor was a modified mimikatz that dumps NTLM hashes .' [/INST] [The:O, most:O, common:O, credential:O, stealing:O, tool:O, used:O, by:O, the:O, threat:B-HackOrg, actor:I-HackOrg, was:O, a:O, modified:O, mimikatz:B-Tool, that:O, dumps:B-Features, NTLM:I-Features, hashes: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: 'This ' connection bouncer ' tool lets the threat actor redirect ports and connections between different networks and obfuscate C2 server traffic .' [/INST] [This:O, ':O, connection:B-Tool, bouncer:I-Tool, ':O, tool:O, lets:O, the:O, threat:B-HackOrg, actor:I-HackOrg, redirect:O, ports:B-Features, and:I-Features, connections:I-Features, between:O, different:O, networks:O, and:O, obfuscate:O, C2:O, server:O, traffic:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 is capable of a variety of functions , including credential theft , hard drive and data wiping , disabling security software , and remote desktop functionality .' [/INST] [It:O, is:O, capable:O, of:O, a:O, variety:O, of:O, functions:O, ,:O, including:O, credential:B-Features, theft:I-Features, ,:O, hard:B-Features, drive:I-Features, and:O, data:B-Features, wiping:I-Features, ,:O, disabling:B-Features, security:I-Features, software:I-Features, ,:O, and:O, remote:B-Features, desktop:I-Features, functionality: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 usefulness of flare-qdb can be seen in cases such as loops dealing with strings .' [/INST] [The:O, usefulness:O, of:O, flare-qdb:B-SamFile, can:O, be:O, seen:O, in:O, cases:O, such:O, as:O, loops:B-Features, dealing:I-Features, with:O, strings:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We have also observed them using virtual private network services that use IPs based in numerous countries to ensure anonymity and obfuscate criminal operations .' [/INST] [We:O, have:O, also:O, observed:O, them:B-SamFile, using:B-Features, virtual:I-Features, private:I-Features, network:I-Features, services:I-Features, that:O, use:O, IPs:O, based:O, in:O, numerous:O, countries:O, to:O, ensure:B-Purp, anonymity:I-Purp, and:O, obfuscate:B-Purp, criminal:I-Purp, operations: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: 'Once downloaded and executed , it drops an intermediate payload that further downloads a Pony DLL and Vawtrak executable , which perform data theft and connect to a command and control (C2) server .' [/INST] [Once:O, downloaded:O, and:O, executed:O, ,:O, it:O, drops:O, an:O, intermediate:O, payload:O, that:O, further:O, downloads:O, a:O, Pony:B-SamFile, DLL:I-SamFile, and:O, Vawtrak:B-SamFile, executable:O, ,:O, which:O, perform:O, data:B-Features, theft:I-Features, and:O, connect:B-Features, to:O, a:O, command:B-Purp, and:O, control:B-Purp, (C2):I-Purp, server: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: 'Upon execution , it will communicate with an attacker-controller website to download a variant of the Pony malware , pm.dll” along with a standard Vawtrak trojan .' [/INST] [Upon:O, execution:O, ,:O, it:O, will:O, communicate:O, with:O, an:O, attacker-controller:O, website:O, to:O, download:B-Features, a:O, variant:O, of:O, the:O, Pony:B-SamFile, malware:I-SamFile, ,:O, pm.dll”:O, along:O, with:O, a:O, standard:O, Vawtrak:O, trojan:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'RIPPER interacts with the ATM by inserting a specially manufactured ATM card with an EMV chip that serves as the authentication mechanism .' [/INST] [RIPPER:B-SamFile, interacts:B-Features, with:I-Features, the:I-Features, ATM:I-Features, by:O, inserting:O, a:O, specially:O, manufactured:O, ATM:O, card:O, with:O, an:O, EMV:O, chip:O, that:O, serves:O, as:O, the:O, authentication:O, mechanism:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'RIPPER will examine the contents of directories associated with the targeted ATM vendors and will replace legitimate executables with itself .' [/INST] [RIPPER:B-SamFile, will:O, examine:B-Features, the:O, contents:O, of:O, directories:O, associated:O, with:O, the:O, targeted:O, ATM:B-Org, vendors:I-Org, and:O, will:O, replace:B-Features, legitimate:I-Features, executables:I-Features, with:O, itself:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 a valid card with a malicious EMV chip is detected , RIPPER will instantiate a timer to allow a thief to control the machine .' [/INST] [Once:O, a:O, valid:O, card:O, with:O, a:O, malicious:O, EMV:O, chip:O, is:O, detected:O, ,:O, RIPPER:B-SamFile, will:O, instantiate:B-Features, a:I-Features, timer:I-Features, to:O, allow:O, a:O, thief:O, to:O, control:B-Purp, the:I-Purp, machine:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This malware family can be used to compromise multiple vendor platforms and leverages uncommon technology to access physical devices .' [/INST] [This:O, malware:B-SamFile, family:O, can:O, be:O, used:O, to:O, compromise:B-Features, multiple:I-Features, vendor:I-Features, platforms:I-Features, and:O, leverages:B-Features, uncommon:I-Features, technology:I-Features, to:O, access:O, physical:O, devices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'From our trend analysis seen in Figure 3 , Locky ransomware started being delivered via DOCM format email attachments more extensively beginning in August .' [/INST] [From:O, our:O, trend:O, analysis:O, seen:O, in:O, Figure:O, 3:O, ,:O, Locky:B-SamFile, ransomware:O, started:O, being:O, delivered:B-Features, via:O, DOCM:O, format:O, email:O, attachments:O, more:O, extensively:O, beginning:O, in:O, August: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: 'Discovered for the first time in Mexico back in 2013 , Ploutus enabled criminals to empty ATMs using either an external keyboard attached to the machine or via SMS message , a technique that had never been seen before .' [/INST] [Discovered:O, for:O, the:O, first:O, time:O, in:O, Mexico:B-Area, back:O, in:O, 2013:B-Time, ,:O, Ploutus:B-SamFile, enabled:O, criminals:O, to:O, empty:B-Features, ATMs:I-Features, using:O, either:O, an:O, external:O, keyboard:O, attached:O, to:O, the:O, machine:O, or:O, via:B-Features, SMS:I-Features, message:I-Features, ,:O, a:O, technique:O, that:O, had:O, never:O, been:O, seen:O, before:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye Labs recently identified a previously unobserved version of Ploutus , dubbed Ploutus-D , that interacts with KAL’s Kalignite multivendor ATM platform .' [/INST] [FireEye:B-SecTeam, Labs:O, recently:O, identified:O, a:O, previously:O, unobserved:O, version:O, of:O, Ploutus:B-SamFile, ,:O, dubbed:O, Ploutus-D:B-SamFile, ,:O, that:O, interacts:B-Features, with:O, KAL’s:O, Kalignite:O, multivendor:O, ATM:O, platform:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'That post included download links for a slew of NSA hacking tools and exploits , many of which could be used to break into hardware firewall appliances , and in turn , corporate or government networks .' [/INST] [That:O, post:O, included:O, download:O, links:O, for:O, a:O, slew:O, of:O, NSA:B-Org, hacking:O, tools:O, and:O, exploits:O, ,:O, many:O, of:O, which:O, could:O, be:O, used:O, to:O, break:B-Features, into:I-Features, hardware:I-Features, firewall:I-Features, appliances:I-Features, ,:O, and:O, in:O, turn:O, ,:O, corporate:B-Features, or:I-Features, government:I-Features, networks: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: 'Some hackers even went onto use the Cisco exploits in the wild .' [/INST] [Some:O, hackers:O, even:O, went:O, onto:O, use:O, the:O, Cisco:B-Exp, exploits:I-Exp, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'DanderSpritz consists entirely of plugins to gather intelligence , use exploits and examine already controlled machines .' [/INST] [DanderSpritz:B-Tool, consists:O, entirely:O, of:O, plugins:O, to:O, gather:B-Features, intelligence:I-Features, ,:O, use:B-Features, exploits:I-Features, and:O, examine:B-Features, already:I-Features, controlled:I-Features, machines: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: 'DanderSpritz consists entirely of plugins to gather intelligence , use exploits and examine already controlled machines .' [/INST] [DanderSpritz:B-Tool, consists:O, entirely:O, of:O, plugins:O, to:O, gather:B-Features, intelligence:I-Features, ,:O, use:B-Features, exploits:I-Features, and:O, examine:B-Features, already:I-Features, controlled:I-Features, machines: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: 'PeddleCheap is a plugin of DanderSpritz which can be used to configure implants and connect to infected machines .' [/INST] [PeddleCheap:B-Tool, is:O, a:O, plugin:O, of:O, DanderSpritz:B-Tool, which:O, can:O, be:O, used:O, to:O, configure:B-Features, implants:I-Features, and:O, connect:B-Features, to:I-Features, infected:I-Features, machines: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: 'Each of them consists of a set of plugins designed for different tasks : while FuzzBunch plugins are responsible for reconnaissance and attacking a victim , plugins in the DanderSpritz framework are developed for managing already infected victims .' [/INST] [Each:O, of:O, them:O, consists:O, of:O, a:O, set:O, of:O, plugins:O, designed:O, for:O, different:O, tasks:O, ::O, while:O, FuzzBunch:B-Tool, plugins:I-Tool, are:O, responsible:O, for:O, reconnaissance:B-Features, and:I-Features, attacking:I-Features, a:I-Features, victim:O, ,:O, plugins:O, in:O, the:O, DanderSpritz:B-Tool, framework:O, are:O, developed:O, for:O, managing:B-Features, already:I-Features, infected:I-Features, victims: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 their latest leak , they have released the UNITEDRAKE NSA exploit , which is a remote access and control tool that can remotely target Windows-based systems to capture desired information and transfer it to a server .' [/INST] [In:O, their:O, latest:O, leak:O, ,:O, they:O, have:O, released:O, the:O, UNITEDRAKE:B-Exp, NSA:I-Exp, exploit:I-Exp, ,:O, which:O, is:O, a:O, remote:O, access:O, and:O, control:O, tool:O, that:O, can:O, remotely:O, target:O, Windows-based:O, systems:O, to:O, capture:B-Features, desired:I-Features, information:I-Features, and:O, transfer:B-Features, it:O, to:O, a:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The ShadowBrokers is a group of hackers known for leaking exclusive information about the National Security Agency – NSA 's hacking tools and tactics .' [/INST] [The:O, ShadowBrokers:B-HackOrg, is:O, a:O, group:O, of:O, hackers:O, known:O, for:O, leaking:O, exclusive:O, information:O, about:O, the:O, National:O, Security:O, Agency:O, –:O, NSA:B-Org, 's:O, hacking:O, tools:O, and:O, tactics:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 captures information using plugins to compromise webcam and microphone output along with documenting log keystrokes , carrying out surveillance and access external drives .' [/INST] [It:O, captures:B-Features, information:I-Features, using:O, plugins:O, to:O, compromise:O, webcam:O, and:O, microphone:O, output:O, along:O, with:O, documenting:O, log:O, keystrokes:O, ,:O, carrying:B-Features, out:I-Features, surveillance:I-Features, and:O, access:B-Features, external:I-Features, drives:I-Features, .:O] </s> |