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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: 'Additionally , this incident exposes the global nature of cyber threats and the value of worldwide perspective – a cyber espionage incident targeting Russians can provide an opportunity to learn about and interdict crime against English speakers elsewhere .' [/INST] [Additionally:O, ,:O, this:O, incident:O, exposes:O, the:O, global:O, nature:O, of:O, cyber:O, threats:O, and:O, the:O, value:O, of:O, worldwide:O, perspective:O, –:O, a:O, cyber:B-OffAct, espionage:I-OffAct, incident:I-OffAct, targeting:O, Russians:B-Area, can:O, provide:O, an:O, opportunity:O, to:O, learn:O, about:O, and:O, interdict:O, crime:O, against:O, English:B-Area, speakers:O, elsewhere:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Recent DRIDEX activity began following a disclosure on April 7 , 2017 .' [/INST] [Recent:O, DRIDEX:B-OffAct, activity:I-OffAct, began:O, following:O, a:O, disclosure:O, on:O, April:B-Time, 7:I-Time, ,: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: 'This campaign primarily affected the government sector in the Middle East , U.S. , and Japan .' [/INST] [This:O, campaign:B-OffAct, primarily:O, affected:O, the:O, government:B-Org, sector:O, in:O, the:O, Middle:B-Area, East:I-Area, ,:O, U.S.:B-Area, ,:O, and:O, Japan: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: 'This campaign primarily affected the government sector in the Middle East , U.S. , and Japan .' [/INST] [This:O, campaign:O, primarily:O, affected:O, the:O, government:B-Org, sector:I-Org, in:O, the:O, Middle:B-Area, East:I-Area, ,:O, U.S.:B-Area, ,:O, and:O, Japan: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: 'FireEye believes that two actors – Turla and an unknown financially motivated actor – were using the first EPS zero-day CVE-2017-0261 , and APT28 was using the second EPS zero-day CVE-2017-0262 along with a new Escalation of Privilege (EOP) zero-day CVE-2017-0263 .' [/INST] [FireEye:B-SecTeam, believes:O, that:O, two:O, actors:B-HackOrg, –:O, Turla:O, and:O, an:O, unknown:O, financially:B-Idus, motivated:O, actor:O, –:O, were:O, using:O, the:O, first:O, EPS:O, zero-day:O, CVE-2017-0261:B-Exp, ,:O, and:O, APT28:B-HackOrg, was:O, using:O, the:O, second:O, EPS:O, zero-day:O, CVE-2017-0262:B-Exp, along:O, with:O, a:O, new:O, Escalation:O, of:O, Privilege:O, (EOP):O, zero-day:O, CVE-2017-0263: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: 'Turla and APT28 are Russian cyber espionage groups that have used these zero-days against European diplomatic and military entities .' [/INST] [Turla:B-HackOrg, and:O, APT28:B-HackOrg, are:O, Russian:B-Area, cyber:O, espionage:O, groups:O, that:O, have:O, used:O, these:O, zero-days:O, against:O, European:B-Area, diplomatic:O, and:O, military:B-Idus, entities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The first , st07383.en17.docx , continues by utilizing 32 or 64 bit versions of CVE-2017-0001 to escalate privileges before executing a final JavaScript payload containing a malware implant known as SHIRIME .' [/INST] [The:O, first:O, ,:O, st07383.en17.docx:B-SamFile, ,:O, continues:O, by:O, utilizing:O, 32:O, or:O, 64:O, bit:O, versions:O, of:O, CVE-2017-0001:B-Exp, to:O, escalate:O, privileges:O, before:O, executing:O, a:O, final:O, JavaScript:O, payload:O, containing:O, a:O, malware:O, implant:O, known:O, as:O, SHIRIME:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This vulnerability was found in a document named Trump's_Attack_on_Syria_English.docx” .' [/INST] [This:O, vulnerability:O, was:O, found:O, in:O, a:O, document:B-SamFile, named:O, Trump's_Attack_on_Syria_English.docx”:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It is possible that CVE-2017-8759 was being used by additional actors .' [/INST] [It:O, is:O, possible:O, that:O, CVE-2017-8759:B-Exp, was:O, being:O, used:O, by:O, additional:O, actors: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: 'Russian cyber espionage actors use zero-day exploits in addition to less complex measures .' [/INST] [Russian:B-Area, cyber:O, espionage:O, actors:O, use:O, zero-day:O, exploits:O, in:O, addition:O, to:O, less:B-Purp, complex:I-Purp, measures:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The addition of the EternalBlue exploit to Metasploit has made it easy for threat actors to exploit these vulnerabilities .' [/INST] [The:O, addition:O, of:O, the:O, EternalBlue:B-Exp, exploit:O, to:O, Metasploit:B-Tool, has:O, made:O, it:O, easy:O, for:O, threat:O, actors:B-HackOrg, to:O, exploit:O, these:O, vulnerabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 release of sensitive victim data , extortion , and destruction of systems , FireEye considers FIN10 to be one of the most disruptive threat actors observed in the region so far .' [/INST] [Given:O, the:O, release:O, of:O, sensitive:O, victim:O, data:O, ,:O, extortion:O, ,:O, and:O, destruction:O, of:O, systems:O, ,:O, FireEye:B-SecTeam, considers:O, FIN10:B-HackOrg, to:O, be:O, one:O, of:O, the:O, most:O, disruptive:O, threat:O, actors:O, observed:O, in:O, the:O, region:O, so:O, far:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 install and register the malicious shim database on a system , FIN7 used a custom Base64 encoded PowerShell script , which ran the sdbinst.exe” utility to register a custom shim database file containing a patch onto a system .' [/INST] [To:O, install:O, and:O, register:O, the:O, malicious:O, shim:O, database:O, on:O, a:O, system:O, ,:O, FIN7:B-HackOrg, used:O, a:O, custom:O, Base64:O, encoded:O, PowerShell:B-Tool, script:I-Tool, ,:O, which:O, ran:O, the:O, sdbinst.exe”:B-SamFile, utility:O, to:O, register:O, a:O, custom:O, shim:O, database:O, file:O, containing:O, a:O, patch:O, onto:O, a:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During the investigations , Mandiant observed that FIN7 used a custom shim database to patch both the 32-bit and 64-bit versions of services.exe” with their CARBANAK payload .' [/INST] [During:O, the:O, investigations:O, ,:O, Mandiant:B-SecTeam, observed:O, that:O, FIN7:B-HackOrg, used:O, a:O, custom:O, shim:O, database:O, to:O, patch:O, both:O, the:O, 32-bit:O, and:O, 64-bit:O, versions:O, of:O, services.exe”:B-SamFile, with:O, their:O, CARBANAK:B-Tool, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FIN7 is a financially motivated intrusion set that selectively targets victims and uses spear phishing to distribute its malware .' [/INST] [FIN7:B-HackOrg, is:O, a:O, financially:B-Idus, motivated:O, intrusion:O, set:O, that:O, selectively:O, targets:O, victims:O, and:O, uses:O, spear:B-Way, phishing:I-Way, to:O, distribute:O, its:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During the investigations , Mandiant observed that FIN7 used a custom shim database to patch both the 32-bit and 64-bit versions of a??services.exea?? with their CARBANAK payload .' [/INST] [During:O, the:O, investigations:O, ,:O, Mandiant:B-SecTeam, observed:O, that:O, FIN7:B-HackOrg, used:O, a:O, custom:O, shim:O, database:O, to:O, patch:O, both:O, the:O, 32-bit:O, and:O, 64-bit:O, versions:O, of:O, a??services.exea??:O, with:O, their:O, CARBANAK:B-Tool, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CARBANAK malware has been used heavily by FIN7 in previous operations .' [/INST] [CARBANAK:B-Tool, malware:O, has:O, been:O, used:O, heavily:O, by:O, FIN7:B-HackOrg, in:O, previous:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 not yet identified FIN7’s ultimate goal in this campaign , as we have either blocked the delivery of the malicious emails or our FaaS team detected and contained the attack early enough in the lifecycle before we observed any data targeting or theft .' [/INST] [We:O, have:O, not:O, yet:O, identified:O, FIN7’s:B-HackOrg, ultimate:O, goal:O, in:O, this:O, campaign:B-OffAct, ,:O, as:O, we:O, have:O, either:O, blocked:O, the:O, delivery:O, of:O, the:O, malicious:B-SamFile, emails:I-SamFile, or:O, our:O, FaaS:O, team:O, detected:O, and:O, contained:O, the:O, attack:O, early:O, enough:O, in:O, the:O, lifecycle:O, before:O, we:O, observed:O, any:O, data:O, targeting:O, or: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: 'If the attackers are attempting to compromise persons involved in SEC filings due to their information access , they may ultimately be pursuing securities fraud or other investment abuse .' [/INST] [If:O, the:O, attackers:B-HackOrg, are:O, attempting:O, to:O, compromise:O, persons:O, involved:O, in:O, SEC:O, filings:O, due:O, to:O, their:O, information:O, access:O, ,:O, they:O, may:O, ultimately:O, be:O, pursuing:B-Purp, securities:I-Purp, fraud:I-Purp, or:O, other:O, investment:B-Purp, abuse:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The use of the CARBANAK malware in FIN7 operations also provides limited evidence that these campaigns are linked to previously observed CARBANAK operations leading to fraudulent banking transactions , ATM compromise , and other monetization schemes .' [/INST] [The:O, use:O, of:O, the:O, CARBANAK:B-Tool, malware:I-Tool, in:O, FIN7:B-HackOrg, operations:O, also:O, provides:O, limited:O, evidence:O, that:O, these:O, campaigns:O, are:O, linked:O, to:O, previously:O, observed:O, CARBANAK:B-OffAct, operations:I-OffAct, leading:O, to:O, fraudulent:O, banking:B-Idus, transactions:I-Idus, ,:O, ATM:O, compromise:O, ,:O, and:O, other:O, monetization:O, schemes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 1 shows a sample phishing email used by HawkEye operators in this latest campaign .' [/INST] [Figure:O, 1:O, shows:O, a:O, sample:O, phishing:B-SamFile, email:I-SamFile, used:O, by:O, HawkEye:B-OffAct, operators:I-OffAct, in:O, this:O, latest:O, 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: 'The HawkEye malware is primarily used for credential theft and is often combined with additional tools to extract passwords from email and web browser applications .' [/INST] [The:O, HawkEye:B-Tool, malware:I-Tool, is:O, primarily:O, used:O, for:O, credential:B-Purp, theft:I-Purp, and:O, is:O, often:O, combined:O, with:O, additional:O, tools:O, to:O, extract:O, passwords:O, from:O, email:O, and:O, web:O, browser:O, applications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'HawkEye is a versatile Trojan used by diverse actors for multiple purposes .' [/INST] [HawkEye:B-Tool, is:O, a:O, versatile:O, Trojan:O, used:O, by:O, diverse:O, actors:B-HackOrg, for:O, multiple:B-Purp, purposes: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: 'We have seen different HawkEye campaigns infecting organizations across many sectors globally , and stealing user credentials for diverse online services .' [/INST] [We:O, have:O, seen:O, different:O, HawkEye:B-HackOrg, campaigns:O, infecting:B-OffAct, organizations:O, across:O, many:O, sectors:O, globally:O, ,:O, and:O, stealing:B-OffAct, user:O, credentials:O, for:O, diverse:O, online:O, services:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Mandiant disclosed these vulnerabilities to Lenovo in May of 2016 .' [/INST] [Mandiant:B-SecTeam, disclosed:O, these:O, vulnerabilities:O, to:O, Lenovo:O, in:O, May:B-Time, of:I-Time, 2016: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: 'For our M-Trends 2017 report , we took a look at the incidents we investigated last year and provided a global and regional (the Americas , APAC and EMEA) analysis focused on attack trends , and defensive and emerging trends .' [/INST] [For:O, our:O, M-Trends:B-SecTeam, 2017:B-Time, report:O, ,:O, we:O, took:O, a:O, look:O, at:O, the:O, incidents:O, we:O, investigated:O, last:B-Time, year:I-Time, and:O, provided:O, a:O, global:O, and:O, regional:O, (the:O, Americas:B-Area, ,:O, APAC:O, and:O, EMEA):O, analysis:O, focused:O, on:O, attack:O, trends:O, ,:O, and:O, defensive:B-Idus, and:O, emerging:B-Idus, trends:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As we noted in M-Trends 2016 , Mandiant’s Red Team can obtain access to domain administrator credentials within roughly three days of gaining initial access to an environment , so 99 days is still 96 days too long .' [/INST] [As:O, we:O, noted:O, in:O, M-Trends:B-SecTeam, 2016:B-Time, ,:O, Mandiant’s:B-SecTeam, Red:O, Team:O, can:O, obtain:O, access:O, to:O, domain:O, administrator:O, credentials:O, within:O, roughly:O, three:O, days:O, of:O, gaining:O, initial:O, access:O, to:O, an:O, environment:O, ,:O, so:O, 99:O, days:O, is:O, still:O, 96:O, days:O, too:O, long:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On top of our analysis of recent trends , M-Trends 2017 contains insights from our FireEye as a Service (FaaS) teams for the second consecutive year .' [/INST] [On:O, top:O, of:O, our:O, analysis:O, of:O, recent:O, trends:O, ,:O, M-Trends:B-SecTeam, 2017:B-Time, contains:O, insights:O, from:O, our:O, FireEye:B-SecTeam, as:O, a:O, Service:O, (FaaS):O, teams:O, for:O, the:O, second:O, consecutive:O, year:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In Figure 1 , which is based on FireEye Dynamic threat Intelligence (DTI) reports shared in March 2017 , we can see the regions affected by Magnitude EK activity during the last three months of 2016 and the first three months of 2017 .' [/INST] [In:O, Figure:O, 1:O, ,:O, which:O, is:O, based:O, on:O, FireEye:B-SecTeam, Dynamic:O, threat:O, Intelligence:O, (DTI):O, reports:O, shared:O, in:O, March:B-Time, 2017:I-Time, ,:O, we:O, can:O, see:O, the:O, regions:O, affected:O, by:O, Magnitude:O, EK:O, activity:O, during:O, the:O, last:O, three:O, months:O, of:O, 2016:B-Time, and:O, the:O, first:O, three:O, months:O, 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: 'Magnitude EK activity then fell off the radar until Oct. 15 , 2017 , when it came back and began focusing solely on South Korea .' [/INST] [Magnitude:B-Tool, EK:I-Tool, activity:O, then:O, fell:O, off:O, the:O, radar:O, until:O, Oct.:B-Time, 15:I-Time, ,:O, 2017:B-Time, ,:O, when:O, it:O, came:O, back:O, and:O, began:O, focusing:O, solely:O, on:O, South:B-Area, Korea:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Magnitude EK landing page consisted of CVE-2016-0189 , which was first reported by FireEye as being used in Neutrino Exploit Kit after it was patched .' [/INST] [The:O, Magnitude:B-Tool, EK:I-Tool, landing:O, page:O, consisted:O, of:O, CVE-2016-0189:B-Exp, ,:O, which:O, was:O, first:O, reported:O, by:O, FireEye:B-SecTeam, as:O, being:O, used:O, in:O, Neutrino:B-Tool, Exploit:I-Tool, Kit:I-Tool, after:O, it:O, was:O, patched:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Throughout the final quarter of 2016 and first month of 2017 , FireEye Dynamic Threat Intelligence (DTI) observed consistent Magnitude EK hits from several customers , the majority of whom reside in the APAC region .' [/INST] [Throughout:O, the:O, final:O, quarter:O, of:O, 2016:B-Time, and:O, first:O, month:O, of:O, 2017:B-Time, ,:O, FireEye:B-SecTeam, Dynamic:O, Threat:O, Intelligence:O, (DTI):O, observed:O, consistent:O, Magnitude:B-Tool, EK:I-Tool, hits:O, from:O, several:O, customers:O, ,:O, the:O, majority:O, of:O, whom:O, reside:O, in:O, the:O, APAC:B-Area, region:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In January 2017 , new domain names appeared in the campaign hosted on a different IP location .' [/INST] [In:O, January:B-Time, 2017:I-Time, ,:O, new:O, domain:O, names:O, appeared:O, in:O, the:O, campaign:B-OffAct, hosted:O, on:O, a:O, different:O, IP:O, location:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Many groups leverage the regsvr32.exe application whitelisting bypass , including APT19 in their 2017 campaign against law firms .' [/INST] [Many:O, groups:O, leverage:O, the:O, regsvr32.exe:B-SamFile, application:O, whitelisting:O, bypass:O, ,:O, including:O, APT19:B-HackOrg, in:O, their:O, 2017:B-Time, campaign:O, against:O, law:B-Org, firms:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This trend continued until late September 2017 , when we saw Magnitude EK focus primarily on the APAC region , with a large chunk targeting South Korea .' [/INST] [This:O, trend:O, continued:O, until:O, late:O, September:B-Time, 2017:I-Time, ,:O, when:O, we:O, saw:O, Magnitude:B-Tool, EK:I-Tool, focus:O, primarily:O, on:O, the:O, APAC:B-Area, region:I-Area, ,:O, with:O, a:O, large:O, chunk:O, targeting:O, South:B-Area, Korea:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These ransomware payloads only seem to target Korean systems , since they won’t execute if the system language is not Korean .' [/INST] [These:O, ransomware:B-Tool, payloads:O, only:O, seem:O, to:O, target:O, Korean:B-Area, systems:O, ,:O, since:O, they:O, won’t:O, execute:O, if:O, the:O, system:O, language:O, is:O, not:O, Korean: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: 'The malware was initially distributed through a compromised software update system and then self-propagated through stolen credentials and SMB exploits , including the EternalBlue exploit used in the WannaCry attack from May 2017 .' [/INST] [The:O, malware:B-SamFile, was:O, initially:O, distributed:O, through:O, a:O, compromised:O, software:O, update:O, system:O, and:O, then:O, self-propagated:O, through:O, stolen:B-Way, credentials:I-Way, and:O, SMB:B-Way, exploits:I-Way, ,:O, including:O, the:O, EternalBlue:B-Tool, exploit:I-Tool, used:O, in:O, the:O, WannaCry:B-HackOrg, attack:O, from:O, May: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: 'In our Revoke-Obfuscation white paper , first presented at Black Hat USA 2017 , we provide background on obfuscated PowerShell attacks seen in the wild , as well as defensive mitigation and logging best practices .' [/INST] [In:O, our:O, Revoke-Obfuscation:O, white:O, paper:O, ,:O, first:O, presented:O, at:O, Black:B-SecTeam, Hat:I-SecTeam, USA:O, 2017:B-Time, ,:O, we:O, provide:O, background:O, on:O, obfuscated:O, PowerShell:B-OffAct, attacks:I-OffAct, seen:O, in:O, the:O, wild:O, ,:O, as:O, well:O, as:O, defensive:O, mitigation:O, and:O, logging:O, best:O, practices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware leverages an exploit , codenamed EternalBlue” , that was released by the Shadow Brokers on April 14 , 2017 .' [/INST] [The:O, malware:O, leverages:O, an:O, exploit:O, ,:O, codenamed:O, EternalBlue”:B-Exp, ,:O, that:O, was:O, released:O, by:O, the:O, Shadow:B-HackOrg, Brokers:I-HackOrg, on:O, April:B-Time, 14:I-Time, ,: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: 'The malware appends encrypted data files with the .WCRY extension , drops and executes a decryptor tool , and demands $300 or $600 USD (via Bitcoin) to decrypt the data .' [/INST] [The:O, malware:B-SamFile, appends:O, encrypted:O, data:O, files:O, with:O, the:O, .WCRY:B-SamFile, extension:I-SamFile, ,:O, drops:O, and:O, executes:O, a:O, decryptor:O, tool:O, ,:O, and:O, demands:O, $300:O, or:O, $600:O, USD:O, (via:O, Bitcoin):O, to:O, decrypt:O, the:O, data:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware then builds two DLLs in memory – they are 32 and 64-bit DLLs that have identical functionality .' [/INST] [The:O, malware:B-SamFile, then:O, builds:O, two:O, DLLs:B-SamFile, in:O, memory:O, –:O, they:O, are:O, 32:O, and:O, 64-bit:O, DLLs:O, that:O, have:O, identical:O, functionality:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware continues by creating a service named mssecsvc2.0 with a binary path pointing to the running module with the arguments -m security .' [/INST] [The:O, malware:B-SamFile, continues:O, by:O, creating:O, a:O, service:O, named:O, mssecsvc2.0:B-SamFile, with:O, a:O, binary:O, path:O, pointing:O, to:O, the:O, running:O, module:O, with:O, the:O, arguments:O, -m:O, security:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware then writes the R resource data to the file C:\WINDOWS\tasksche.exe .' [/INST] [The:O, malware:B-SamFile, then:O, writes:O, the:O, R:O, resource:O, data:O, to:O, the:O, file:B-SamFile, C:\WINDOWS\tasksche.exe:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The 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: 'Attaching with IDA Pro via WinDbg as in Figure 11 shows that the program counter points to the infinite loop written in memory allocated by flare-qdb .' [/INST] [Attaching:O, with:O, IDA:B-SamFile, Pro:I-SamFile, via:O, WinDbg:B-SamFile, as:O, in:O, Figure:O, 11:O, shows:O, that:O, the:O, program:O, counter:O, points:O, to:O, the:O, infinite:O, loop:O, written:O, in:O, memory:O, allocated:O, by:O, flare-qdb:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 recently observed a resurgence of the same phishing campaign when our systems detected roughly 90 phony Apple-like domains that were registered from July 2016 to September 2016 .' [/INST] [We:O, recently:O, observed:O, a:O, resurgence:O, of:O, the:O, same:O, phishing:B-OffAct, campaign:I-OffAct, when:O, our:O, systems:O, detected:O, roughly:O, 90:O, phony:O, Apple-like:O, domains:O, that:O, were:O, registered:O, from:O, July:B-Time, 2016:I-Time, to:O, September:B-Time, 2016: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: 'In this blog we provide insight into the tactics , techniques and procedures (TTPs) of a Brazilian cyber crime group that specializes in payment card fraud operations .' [/INST] [In:O, this:O, blog:O, we:O, provide:O, insight:O, into:O, the:O, tactics:O, ,:O, techniques:O, and:O, procedures:O, (TTPs):O, of:O, a:O, Brazilian:O, cyber:O, crime:B-HackOrg, group:I-HackOrg, that:O, specializes:O, in:O, payment:B-Purp, card:I-Purp, fraud:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 threat actors , observed by FireEye Labs , use a variety of different methods to either compromise or acquire already compromised payment card credentials , including sharing or purchasing dumps online , hacking vulnerable merchant websites and compromising payment card processing devices .' [/INST] [The:O, threat:O, actors:B-HackOrg, ,:O, observed:O, by:O, FireEye:B-SecTeam, Labs:I-SecTeam, ,:O, use:O, a:O, variety:O, of:O, different:O, methods:O, to:O, either:O, compromise:O, or:O, acquire:O, already:O, compromised:O, payment:B-Purp, card:I-Purp, credentials:I-Purp, ,:O, including:O, sharing:O, or:O, purchasing:O, dumps:O, online:O, ,:O, hacking:O, vulnerable:O, merchant:O, websites:O, and:O, compromising:B-Way, payment:I-Way, card:I-Way, processing: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: 'Once in their possession , the actors use these compromised payment card credentials to generate further card information .' [/INST] [Once:O, in:O, their:O, possession:O, ,:O, the:O, actors:B-HackOrg, use:O, these:O, compromised:O, payment:O, card:O, credentials:O, to:O, generate:B-Purp, further:I-Purp, card:I-Purp, information:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The members of the group use a variety of tools , including CCleaner , on a daily basis to effectively remove any evidence of their operations .' [/INST] [The:O, members:O, of:O, the:O, group:B-HackOrg, use:O, a:O, variety:O, of:O, tools:O, ,:O, including:O, CCleaner:B-Tool, ,:O, on:O, a:O, daily:O, basis:O, to:O, effectively:O, remove:B-Purp, any:I-Purp, evidence:I-Purp, of:O, their:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 common step taken by threat actors is changing their system's MAC Address to avoid being uniquely identified .' [/INST] [Another:O, common:O, step:O, taken:O, by:O, threat:O, actors:B-HackOrg, is:O, changing:B-Way, their:I-Way, system's:I-Way, MAC:O, Address:O, to:O, avoid:O, being:O, uniquely:O, identified:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 this purpose , these actors often use tools such as Technitium MAC Address Changer .' [/INST] [For:O, this:O, purpose:O, ,:O, these:O, actors:B-HackOrg, often:O, use:O, tools:O, such:O, as:O, Technitium:B-Tool, MAC:I-Tool, Address:I-Tool, Changer: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: 'We have observed these actors using Tor or proxy-based tools similar to Tor (e.g , UltraSurf , as seen in Figure 2) .' [/INST] [We:O, have:O, observed:O, these:O, actors:B-HackOrg, using:O, Tor:B-Tool, or:O, proxy-based:B-Tool, tools:I-Tool, similar:O, to:O, Tor:O, (e.g:O, ,:O, UltraSurf:O, ,:O, as:O, seen:O, in:O, Figure:O, 2):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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: 'Based on our observations , this group uses a variety of different methods to either compromise or acquire already compromised payment card credentials .' [/INST] [Based:O, on:O, our:O, observations:O, ,:O, this:O, group:B-HackOrg, uses:O, a:O, variety:O, of:O, different:O, methods:O, to:O, either:O, compromise:B-Purp, or:O, acquire:O, already:O, compromised:O, payment:O, card:O, credentials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Payment card dumps are commonly shared amongst Brazilian threat actors via social media forums such as Facebook , Skype , and web-based WhatsApp messenger .' [/INST] [Payment:O, card:O, dumps:O, are:O, commonly:O, shared:O, amongst:O, Brazilian:B-Area, threat:O, actors:B-HackOrg, via:O, social:B-Org, media:I-Org, forums:I-Org, such:O, as:O, Facebook:O, ,:O, Skype:O, ,:O, and:O, web-based:O, WhatsApp:O, messenger:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Similarly , the group takes advantage of freely available consolidations of email credentials , personal information , and other data shared in eCrime forums for fraud purposes .' [/INST] [Similarly:O, ,:O, the:O, group:B-HackOrg, takes:O, advantage:O, of:O, freely:O, available:O, consolidations:O, of:O, email:B-Tool, credentials:I-Tool, ,:O, personal:B-Tool, information:I-Tool, ,:O, and:O, other:O, data:O, shared:O, in:O, eCrime:O, forums:O, for:O, fraud:B-Purp, purposes: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: 'These actors scan websites for vulnerabilities to exploit to illicitly access databases .' [/INST] [These:O, actors:B-HackOrg, scan:O, websites:O, for:O, vulnerabilities:O, to:O, exploit:O, to:O, illicitly:B-Purp, access:I-Purp, databases: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: 'They most commonly target Brazilian merchants , though others use the same tactics to exploit entities outside Brazil .' [/INST] [They:B-HackOrg, most:O, commonly:O, target:O, Brazilian:B-Area, merchants:O, ,:O, though:O, others:O, use:O, the:O, same:O, tactics:O, to:O, exploit:O, entities:O, outside:O, Brazil: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: 'The group also uses the SQL injection (SQLi) tools Havij Advanced SQL Injection Tool and SQLi Dumper version 7.0 (Figure 4) to scan for and exploit vulnerabilities in targeted eCommerce sites .' [/INST] [The:O, group:B-HackOrg, also:O, uses:O, the:O, SQL:B-Tool, injection:I-Tool, (SQLi):O, tools:O, Havij:O, Advanced:O, SQL:O, Injection:O, Tool:O, and:O, SQLi:O, Dumper:O, version:O, 7.0:O, (Figure:O, 4):O, to:O, scan:B-Purp, for:I-Purp, and:O, exploit:B-Purp, vulnerabilities:I-Purp, in:O, targeted:O, eCommerce:O, sites:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'At least eight sellers update the website as frequently as daily , offering newly obtained databases from the U.S .' [/INST] [At:O, least:O, eight:O, sellers:B-HackOrg, update:O, the:O, website:O, as:O, frequently:O, as:O, daily:O, ,:O, offering:O, newly:O, obtained:O, databases:O, from:O, the:O, U.S: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: 'Once in possession of compromised payment card credentials , these actors use tools commonly known as card generators to generate new card numbers based on the compromised ones , creating additional opportunities for monetization .' [/INST] [Once:O, in:O, possession:O, of:O, compromised:O, payment:O, card:B-Tool, credentials:I-Tool, ,:O, these:O, actors:B-HackOrg, use:O, tools:O, commonly:O, known:O, as:O, card:O, generators:O, to:O, generate:B-Purp, new:I-Purp, card:I-Purp, numbers:I-Purp, based:O, on:O, the:O, compromised:O, ones:O, ,:O, creating:O, additional:O, opportunities:O, for:O, monetization:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 bulk card-checking tool this group uses is Testador Amazon.com v1.1 (Figure its name , this tool does not use Amazon’s website , but exploits an unauthenticated Cross-Site Request Forgery (CSRF) vulnerability of a merchant website allowing the abuse of PayPal Payflow link functionality (Figure 9) .' [/INST] [One:O, bulk:B-Tool, card-checking:I-Tool, tool:O, this:O, group:B-HackOrg, uses:O, is:O, Testador:O, Amazon.com:O, v1.1:O, (Figure:O, its:O, name:O, ,:O, this:O, tool:O, does:O, not:O, use:O, Amazon’s:O, website:O, ,:O, but:O, exploits:O, an:O, unauthenticated:O, Cross-Site:O, Request:O, Forgery:O, (CSRF):O, vulnerability:O, of:O, a:O, merchant:O, website:O, allowing:O, the:O, abuse:O, of:O, PayPal:B-Tool, Payflow:I-Tool, link:O, functionality:O, (Figure:O, 9):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Based on our observations of interactions in this channel , between May 2016 and June 2016 , malicious actors validated 2 , 987 cards from 62 countries , with the most coming from the U.S. (nearly half) , Brazil , and France .' [/INST] [Based:O, on:O, our:O, observations:O, of:O, interactions:O, in:O, this:O, channel:O, ,:O, between:O, May:B-Time, 2016:I-Time, and:O, June:B-Time, 2016:I-Time, ,:O, malicious:O, actors:B-HackOrg, validated:O, 2:O, ,:O, 987:O, cards:O, from:O, 62:O, countries:O, ,:O, with:O, the:O, most:O, coming:O, from:O, the:B-Area, U.S.:I-Area, (nearly:O, half):O, ,:O, Brazil:B-Area, ,:O, and:O, France: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: 'The actors frequently use the stolen data to create cloned physical cards , which they use to attempt to withdraw funds from ATMs .' [/INST] [The:O, actors:B-HackOrg, frequently:O, use:O, the:O, stolen:O, data:O, to:O, create:B-Purp, cloned:I-Purp, physical:I-Purp, cards:I-Purp, ,:O, which:O, they:O, use:O, to:O, attempt:O, to:O, withdraw:B-Purp, funds:I-Purp, from:O, ATMs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 primarily uses the MSR 606 Software (Figure 12) and Hardware (Figure 13) to create cloned cards .' [/INST] [The:O, group:B-HackOrg, primarily:O, uses:O, the:O, MSR:B-Tool, 606:I-Tool, Software:I-Tool, (Figure:O, 12):O, and:O, Hardware:B-Tool, (Figure:O, 13):O, to:O, create:B-Purp, cloned:I-Purp, cards: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: 'However , Brazilian actors commonly use several methods to do so , such as reselling cards they have created , paying bills with stolen cards in return for a portion of the bill's value and reselling illicitly obtained goods .' [/INST] [However:O, ,:O, Brazilian:B-Area, actors:B-HackOrg, commonly:O, use:O, several:O, methods:O, to:O, do:O, so:O, ,:O, such:O, as:O, reselling:O, cards:O, they:O, have:O, created:O, ,:O, paying:O, bills:O, with:O, stolen:B-Purp, cards:I-Purp, in:O, return:O, for:O, a:O, portion:O, of:O, the:O, bill's:O, value:O, and:O, reselling:O, illicitly:O, obtained:O, goods:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attacker tools were used to almost exclusively target organizations within APAC .' [/INST] [Some:O, attacker:B-HackOrg, tools:O, were:O, used:O, to:O, almost:O, exclusively:O, target:O, organizations:O, within:O, APAC: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: 'In April 2015 , we uncovered the malicious efforts of APT30 , a suspected China-based threat group that has exploited the networks of governments and organizations across the region , targeting highly sensitive political , economic and military information .' [/INST] [In:O, April:B-Time, 2015:I-Time, ,:O, we:O, uncovered:O, the:O, malicious:O, efforts:O, of:O, APT30:B-HackOrg, ,:O, a:O, suspected:O, China-based:B-Area, threat:O, group:O, that:O, has:O, exploited:O, the:O, networks:O, of:O, governments:B-Org, and:O, organizations:B-Org, across:O, the:O, region:O, ,:O, targeting:O, highly:O, sensitive:B-Idus, political:I-Idus, ,:O, economic:B-Idus, and:O, military:B-Idus, 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: 'The individuals using Hancitor malware also known by the name Chanitor are no exception and have taken three approaches to deliver the malware in order to ultimately steal data from their victims .' [/INST] [The:O, individuals:B-HackOrg, using:O, Hancitor:B-Tool, malware:O, also:O, known:O, by:O, the:O, name:O, Chanitor:B-Tool, are:O, no:O, exception:O, and:O, have:O, taken:O, three:O, approaches:O, to:O, deliver:O, the:O, malware:O, in:O, order:O, to:O, ultimately:O, steal:B-Purp, data:I-Purp, from:O, their: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: 'We recently observed Hancitor attacks against some of our FireEye Exploit Guard customers .' [/INST] [We:O, recently:O, observed:O, Hancitor:B-HackOrg, attacks:O, against:O, some:O, of:O, our:O, FireEye:B-SecTeam, Exploit:O, Guard:O, customers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group has performed these activities at multiple locations across Brazil , possibly using multiple mules .' [/INST] [The:O, group:B-HackOrg, has:O, performed:O, these:O, activities:O, at:O, multiple:O, locations:O, across:O, Brazil:B-Area, ,:O, possibly:O, using:O, multiple:O, mules:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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: 'The attachment in these emails is a weaponized Microsoft Office document containing a malicious macro that – when enabled – leads to the download of Hancitor .' [/INST] [The:O, attachment:O, in:O, these:O, emails:O, is:O, a:O, weaponized:O, Microsoft:B-Way, Office:I-Way, document:I-Way, containing:O, a:O, malicious:O, macro:O, that:O, –:O, when:O, enabled:O, –:O, leads:O, to:O, the:O, download:O, of:O, Hancitor: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: 'After the executable is executed , it downloads Pony and Vawtrak malware variants to steal data .' [/INST] [After:O, the:O, executable:O, is:O, executed:O, ,:O, it:O, downloads:O, Pony:B-SamFile, and:O, Vawtrak:B-SamFile, malware:O, variants:O, to:O, steal:B-Purp, data: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: 'In this blog , FireEye Labs dissects this new ATM malware that we have dubbed RIPPER (due to the project name ATMRIPPER” identified in the sample) and documents indicators that strongly suggest this piece of malware is the one used to steal from the ATMs at banks in Thailand .' [/INST] [In:O, this:O, blog:O, ,:O, FireEye:B-SecTeam, Labs:O, dissects:O, this:O, new:O, ATM:B-SamFile, malware:I-SamFile, that:O, we:O, have:O, dubbed:O, RIPPER:B-SamFile, (due:O, to:O, the:O, project:O, name:O, ATMRIPPER”:O, identified:O, in:O, the:O, sample):O, and:O, documents:O, indicators:O, that:O, strongly:O, suggest:O, this:O, piece:O, of:O, malware:O, is:O, the:O, one:O, used:O, to:O, steal:O, from:O, the:O, ATMs:O, at:O, banks:B-Idus, in:O, Thailand: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: '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: 'The samples we identified target the ATM vendor Diebold .' [/INST] [The:O, samples:B-SamFile, we:O, identified:O, target:O, the:O, ATM:B-Org, vendor:I-Org, Diebold:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This blog covers the changes , improvements , and Indicators of Compromise (IOC) of Ploutus-D in order to help financial organizations identify and defend against this threat .' [/INST] [This:O, blog:O, covers:O, the:O, changes:O, ,:O, improvements:O, ,:O, and:O, Indicators:O, of:O, Compromise:O, (IOC):O, of:O, Ploutus-D:B-SamFile, in:O, order:O, to:O, help:O, financial:B-Idus, organizations:O, identify:O, and:O, defend:O, against:O, this: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: 'Ploutus-D also allows the attackers to enter the amount to withdraw (billUnits – 4 digits) and the number of cycles (billCount – 2 digits) to repeat the dispensing operation (see Figure 10) .' [/INST] [Ploutus-D:B-SamFile, also:O, allows:O, the:O, attackers:B-HackOrg, to:O, enter:O, the:O, amount:O, to:O, withdraw:O, (billUnits:O, –:O, 4:O, digits):O, and:O, the:O, number:O, of:O, cycles:O, (billCount:O, –:O, 2:O, digits):O, to:O, repeat:O, the:O, dispensing:O, operation:O, (see:O, Figure:O, 10):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ploutus-D will load KXCashDispenserLib” library implemented by Kalignite Platform (K3A.Platform.dll) to interact with the XFS Manager and control the Dispenser (see Figure 13) .' [/INST] [Ploutus-D:B-SamFile, will:O, load:O, KXCashDispenserLib”:O, library:O, implemented:O, by:O, Kalignite:O, Platform:O, (K3A.Platform.dll):O, to:O, interact:B-Purp, with:O, the:O, XFS:O, Manager:O, and:O, control:O, the:O, Dispenser:O, (see:O, Figure:O, 13):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since Ploutus-D interacts with the Kalignite Platform , only minor modifications to the Ploutus-D code may be required to target different ATM vendors worldwide .' [/INST] [Since:O, Ploutus-D:B-SamFile, interacts:O, with:O, the:O, Kalignite:O, Platform:O, ,:O, only:O, minor:O, modifications:O, to:O, the:O, Ploutus-D:B-SamFile, code:O, may:O, be:O, required:O, to:O, target:O, different:O, ATM:B-Org, vendors:I-Org, worldwide:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Finally , Mandiant’s Devon Kerr and John Miller of FireEye iSIGHT Intelligence will expose the tactics of FIN7 , a financially motivated hacker group that FireEye tracked throughout 2016 .' [/INST] [Finally:O, ,:O, Mandiant’s:B-SecTeam, Devon:O, Kerr:O, and:O, John:O, Miller:O, of:O, FireEye:B-SecTeam, iSIGHT:O, Intelligence:O, will:O, expose:O, the:O, tactics:O, of:O, FIN7:B-HackOrg, ,:O, a:O, financially:B-Idus, motivated:O, hacker:O, group:O, that:O, FireEye:B-SecTeam, tracked:O, throughout:O, 2016: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: 'In mid-November , Mandiant , a FireEye company , responded to the first Shamoon 2.0 incident against an organization located in the Gulf states .' [/INST] [In:O, mid-November:B-Time, ,:O, Mandiant:B-SecTeam, ,:O, a:O, FireEye:B-SecTeam, company:O, ,:O, responded:O, to:O, the:O, first:O, Shamoon:O, 2.0:O, incident:O, against:O, an:O, organization:O, located:O, in:O, the:O, Gulf:B-Area, states:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attackers can potentially grab sensitive online banking information and other personal data , and even provided support for multifactor authentication and OTP .' [/INST] [These:O, attackers:B-HackOrg, can:O, potentially:O, grab:O, sensitive:O, online:O, banking:B-Idus, information:O, and:O, other:O, personal:O, data:O, ,:O, and:O, even:O, provided:O, support:O, for:O, multifactor:O, authentication:O, and:O, OTP:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 detects this phishing attack and customers will be protected against the usage of these sites in possible future campaigns .' [/INST] [FireEye:B-SecTeam, Labs:O, detects:O, this:O, phishing:B-Way, attack:O, and:O, customers:O, will:O, be:O, protected:O, against:O, the:O, usage:O, of:O, these:O, sites:O, in:O, possible:O, future:O, campaigns:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our visibility into APT28’s operations , which date to at least 2007 , has allowed us to understand the group’s malware , operational changes and motivations .' [/INST] [Our:O, visibility:O, into:O, APT28’s:B-HackOrg, operations:O, ,:O, which:O, date:O, to:O, at:O, least:O, 2007:B-Time, ,:O, has:O, allowed:O, us:O, to:O, understand:O, the:O, group’s:O, malware:O, ,:O, operational:O, changes:O, and:O, motivations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 intelligence has been critical to protecting and informing our clients , exposing this threat and strengthening our confidence in attributing APT28 to the Russian government .' [/INST] [This:O, intelligence:O, has:O, been:O, critical:O, to:O, protecting:O, and:O, informing:O, our:O, clients:O, ,:O, exposing:O, this:O, threat:O, and:O, strengthening:O, our:O, confidence:O, in:O, attributing:O, APT28:B-HackOrg, to:O, the:O, Russian:B-Org, government:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actors used two publicly available techniques , an AppLocker whitelisting bypass and a script to inject shellcode into the userinit.exe process .' [/INST] [The:O, threat:O, actors:B-HackOrg, used:O, two:O, publicly:O, available:O, techniques:O, ,:O, an:O, AppLocker:O, whitelisting:O, bypass:O, and:O, a:O, script:O, to:O, inject:B-Way, shellcode:I-Way, into:O, the:O, userinit.exe:B-SamFile, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 regsvr32.exe executable can be used to download a Windows Script Component file (SCT file) by passing the URL of the SCT file as an argument .' [/INST] [The:O, regsvr32.exe:B-SamFile, executable:O, can:O, be:O, used:O, to:O, download:O, a:O, Windows:O, Script:O, Component:O, file:O, (SCT:O, file):O, by:O, passing:O, the:O, URL:O, of:O, the:O, SCT:B-SamFile, file:I-SamFile, as:O, an:O, argument:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 implementation of this bypass in the macro code to invoke regsvr32.exe , along with a URL passed to it which was hosting a malicious SCT file .' [/INST] [We:O, observed:O, implementation:O, of:O, this:O, bypass:O, in:O, the:O, macro:O, code:O, to:O, invoke:O, regsvr32.exe:B-SamFile, ,:O, along:O, with:O, a:O, URL:O, passed:O, to:O, it:O, which:O, was:O, hosting:O, a:O, malicious:O, SCT:B-SamFile, file:I-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'There was code to download a decoy document from the Internet and open it in a second winword.exe process using the Start-Process cmdlet .' [/INST] [There:O, was:O, code:O, to:O, download:O, a:O, decoy:O, document:O, from:O, the:O, Internet:O, and:O, open:O, it:O, in:O, a:O, second:O, winword.exe:B-SamFile, process:O, using:O, the:O, Start-Process:B-SamFile, cmdlet: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: 'Ordnance will be able to immediately generate shellcode after users provide the IP and Port that the shellcode should connect to or listen on .' [/INST] [Ordnance:B-SamFile, will:O, be:O, able:O, to:O, immediately:O, generate:O, shellcode:O, after:O, users:O, provide:O, the:O, IP:O, and:O, Port:O, that:O, the:O, shellcode:B-SamFile, should:O, connect:O, to:O, or:O, listen:O, on:O, .:O] </s> |