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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: '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: 'In addition to the aforementioned post-exploitation tools , the actors used these webshells to upload legitimate executables that they would use DLL sideloading to run a malicious DLL that has code overlaps with known Emissary Panda attacks .' [/INST] [In:O, addition:O, to:O, the:O, aforementioned:O, post-exploitation:O, tools:O, ,:O, the:O, actors:O, used:O, these:O, webshells:O, to:O, upload:O, legitimate:O, executables:O, that:O, they:O, would:O, use:O, DLL:O, sideloading:O, to:O, run:B-Way, a:I-Way, malicious:I-Way, DLL:I-Way, that:O, has:O, code:O, overlaps:O, with:O, known:O, Emissary:B-HackOrg, Panda:I-HackOrg, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PUTTER PANDA are a determined adversary group who have been operating for several years , conducting intelligence-gathering operations with a significant focus on the space sector .' [/INST] [PUTTER:B-HackOrg, PANDA:I-HackOrg, are:O, a:O, determined:O, adversary:O, group:B-HackOrg, who:O, have:O, been:O, operating:O, for:O, several:O, years:O, ,:O, conducting:O, intelligence-gathering:B-Purp, operations:O, with:O, a:O, significant:O, focus:O, on:O, the:O, space:B-Org, sector: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: 'PUTTER PANDA is likely to continue to aggressively target Western entities that hold valuable information or intellectual property relevant to these interests .' [/INST] [PUTTER:B-HackOrg, PANDA:I-HackOrg, is:O, likely:O, to:O, continue:O, to:O, aggressively:O, target:O, Western:B-Area, entities:O, that:O, hold:O, valuable:O, information:O, or:O, intellectual:B-Purp, property:I-Purp, relevant:O, to:O, these:O, interests:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Other groups , such as Buhtrap , Corkow and Carbanak , were already known to target and successfully steal money from financial institutions and their customers in Russia .' [/INST] [Other:O, groups:B-HackOrg, ,:O, such:O, as:O, Buhtrap:B-HackOrg, ,:O, Corkow:B-HackOrg, and:O, Carbanak:B-HackOrg, ,:O, were:O, already:O, known:O, to:O, target:O, and:O, successfully:O, steal:B-Purp, money:I-Purp, from:O, financial:B-Org, institutions:I-Org, and:O, their:O, customers:B-Org, in:O, Russia: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: 'Related or not , one thing is certain : the actor ( s ) using these customized BlackEnergy malware are intent on stealing information from the targets .' [/INST] [Related:O, or:O, not:O, ,:O, one:O, thing:O, is:O, certain:O, ::O, the:O, actor:B-HackOrg, (:O, s:O, ):O, using:O, these:O, customized:O, BlackEnergy:B-Tool, malware:I-Tool, are:O, intent:O, on:O, stealing:B-Purp, information:I-Purp, from:O, the: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: 'The group uses legitimate administration tools to fly under the radar in their post-exploitation phase , which makes detection of malicious activity , as well as attribution more complicated .' [/INST] [The:O, group:B-HackOrg, uses:O, legitimate:B-Tool, administration:I-Tool, tools:I-Tool, to:O, fly:B-Purp, under:I-Purp, the:I-Purp, radar:I-Purp, in:O, their:O, post-exploitation:O, phase:O, ,:O, which:O, makes:O, detection:O, of:O, malicious:B-OffAct, activity:I-OffAct, ,:O, as:O, well:O, as:O, attribution:O, more:O, complicated:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In 2014 , Unit 42 released a report titled , 419 Evolution , that documented one of the first known cases of Nigerian cybercriminals using malware for financial gain .' [/INST] [In:O, 2014:B-Time, ,:O, Unit:B-SecTeam, 42:I-SecTeam, released:O, a:O, report:O, titled:O, ,:O, 419:O, Evolution:O, ,:O, that:O, documented:O, one:O, of:O, the:O, first:O, known:O, cases:O, of:O, Nigerian:B-Area, cybercriminals:B-HackOrg, using:O, malware:O, for:O, financial:B-Purp, gain: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 threat actor attempted to compromise critical assets , such as database servers , billing servers , and the active directory .' [/INST] [The:O, threat:B-HackOrg, actor:I-HackOrg, attempted:O, to:O, compromise:B-Purp, critical:I-Purp, assets:I-Purp, ,:O, such:O, as:O, database:B-Purp, servers:I-Purp, ,:O, billing:B-Purp, servers:I-Purp, ,:O, and:O, the:O, active:B-Purp, directory: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 threat actor was able to leverage the web shell to run reconnaissance commands , steal credentials , and deploy other tools .' [/INST] [The:O, threat:B-HackOrg, actor:I-HackOrg, was:O, able:O, to:O, leverage:O, the:O, web:B-Tool, shell:I-Tool, to:O, run:O, reconnaissance:O, commands:O, ,:O, steal:B-Purp, credentials:I-Purp, ,:O, and:O, deploy:O, other:O, tools:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 order to exfiltrate data from a network segment not connected to the Internet , the threat actor deployed a modified version of hTran .' [/INST] [In:O, order:O, to:O, exfiltrate:B-Purp, data:I-Purp, from:I-Purp, a:O, network:O, segment:O, not:O, connected:O, to:O, the:O, Internet:O, ,:O, the:O, threat:B-HackOrg, actor:I-HackOrg, deployed:O, a:O, modified:O, version:O, of:O, hTran:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our investigation showed that these attacks were targeted , and that the threat actor sought to steal communications data of specific individuals in various countries .' [/INST] [Our:O, investigation:O, showed:O, that:O, these:O, attacks:B-OffAct, were:O, targeted:O, ,:O, and:O, that:O, the:O, threat:B-HackOrg, actor:I-HackOrg, sought:O, to:O, steal:B-Purp, communications:I-Purp, data:I-Purp, of:O, specific:B-Org, individuals:I-Org, in:O, various:O, countries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attackers involved in these email campaigns leveraged a variety of distribution mechanisms to deliver the information stealing FormBook malware .' [/INST] [The:O, attackers:B-HackOrg, involved:O, in:O, these:O, email:O, campaigns:O, leveraged:O, a:O, variety:O, of:O, distribution:O, mechanisms:O, to:O, deliver:B-Purp, the:I-Purp, information:I-Purp, stealing:O, FormBook: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: 'We have previously observed APT19 steal data from law and investment firms for competitive economic purposes .' [/INST] [We:O, have:O, previously:O, observed:O, APT19:B-HackOrg, steal:B-OffAct, data:I-OffAct, from:O, law:O, and:O, investment:O, firms:O, for:O, competitive:B-Purp, economic:I-Purp, purposes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT19 leveraged Rich Text Format (RTF) and macro-enabled Microsoft Excel files to deliver their initial exploits .' [/INST] [APT19:B-HackOrg, leveraged:O, Rich:O, Text:O, Format:O, (RTF):O, and:O, macro-enabled:O, Microsoft:B-SamFile, Excel:I-SamFile, files:I-SamFile, to:O, deliver:B-Purp, their:O, initial:O, exploits:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Mandiant consultants suspect that APT32 was monitoring web logs to track the public IP address used to request remote images .' [/INST] [Mandiant:B-SecTeam, consultants:O, suspect:O, that:O, APT32:B-HackOrg, was:O, monitoring:O, web:O, logs:O, to:O, track:B-Purp, the:I-Purp, public:I-Purp, IP:I-Purp, address:I-Purp, used:O, to:O, request:O, remote:O, images:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Most of these data-stealing capabilities were present in the oldest variants of CARBANAK that we have seen and some were added over time .' [/INST] [Most:O, of:O, these:O, data-stealing:B-Purp, capabilities:O, were:O, present:O, in:O, the:O, oldest:O, variants:O, of:O, CARBANAK:B-SamFile, that:O, we:O, have:O, seen:O, and:O, some:O, were:O, added:O, over:O, time:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since May 2017 , Mandiant experts observed North Korean actors target at least three South Korean cryptocurrency exchanges with the suspected intent of stealing funds .' [/INST] [Since:O, May:B-Time, 2017:I-Time, ,:O, Mandiant:B-SecTeam, experts:O, observed:O, North:B-Area, Korean:I-Area, actors:O, target:O, at:O, least:O, three:O, South:B-Area, Korean:I-Area, cryptocurrency:O, exchanges:O, with:O, the:O, suspected:O, intent:O, of:O, stealing:B-Purp, funds: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: '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: '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 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: '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: '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: '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: '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: '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: '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: '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: '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: '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: '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: '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: 'DarkPulsar is a very interesting administrative module for controlling a passive backdoor named ' sipauth32.tsp ' that provides remote control , belonging to this category .' [/INST] [DarkPulsar:B-Tool, is:O, a:O, very:O, interesting:O, administrative:O, module:O, for:O, controlling:O, a:O, passive:O, backdoor:B-Tool, named:O, ':O, sipauth32.tsp:B-SamFile, ':O, that:O, provides:B-Purp, remote:I-Purp, control:I-Purp, ,:O, belonging:O, to:O, this:O, category:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to Wikipedia , the CSS was formed in 1972 to integrate the NSA and the Service Cryptologic Elements ( SCE ) of the U.S armed forces .' [/INST] [According:O, to:O, Wikipedia:O, ,:O, the:O, CSS:O, was:O, formed:O, in:O, 1972:B-Time, to:O, integrate:B-Purp, the:I-Purp, NSA:I-Purp, and:O, the:O, Service:B-Purp, Cryptologic:I-Purp, Elements:I-Purp, (:O, SCE:B-Purp, ):O, of:O, the:O, U.S:O, armed:O, forces:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 toolset includes reams of documentation explaining how the cyber weapons work , as well as details about their use in highly classified intelligence operations abroad .' [/INST] [The:O, toolset:O, includes:O, reams:O, of:O, documentation:O, explaining:B-Features, how:I-Features, the:I-Features, cyber:I-Features, weapons:I-Features, work:O, ,:O, as:O, well:O, as:O, details:O, about:O, their:O, use:O, in:O, highly:B-Purp, classified:I-Purp, intelligence:I-Purp, operations:O, abroad:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Emotet is a type of general-purpose malware that evolved from a well-known banking Trojan , , Cridex , , which was first discovered in 2014 .' [/INST] [Emotet:B-Tool, is:O, a:O, type:O, of:O, general-purpose:O, malware:O, that:O, evolved:O, from:O, a:O, well-known:O, banking:B-Tool, Trojan:I-Tool, ,:O, ,:O, Cridex:B-Tool, ,:O, ,:O, which:O, was:O, first:O, discovered:O, in:O, 2014:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 seems that the main objective of the attackers was information gathering from the infected computers .' [/INST] [It:O, seems:O, that:O, the:O, main:O, objective:O, of:O, the:O, attackers:O, was:O, information:B-Purp, gathering:I-Purp, from:O, the:O, infected: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: 'Transparent Tribe has been active for several years and conducting suspected intelligence collection operations against South Asian political and military targets .' [/INST] [Transparent:O, Tribe:O, has:O, been:O, active:O, for:O, several:O, years:O, and:O, conducting:O, suspected:O, intelligence:B-Purp, collection:I-Purp, operations:O, against:O, South:O, Asian:O, political:B-Idus, and:O, military:B-Idus, 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: 'Between May 2017 and December 2018 , a multi-purpose command tool that has been used by Whitefly was also used in attacks against defense , telecoms , and energy targets in Southeast Asia and Russia .' [/INST] [Between:O, May:B-Time, 2017:I-Time, and:O, December:B-Time, 2018:I-Time, ,:O, a:O, multi-purpose:O, command:O, tool:O, that:O, has:O, been:O, used:O, by:O, Whitefly:B-HackOrg, was:O, also:O, used:O, in:O, attacks:B-OffAct, against:O, defense:B-Idus, ,:O, telecoms:B-Idus, ,:O, and:O, energy:B-Idus, targets:O, in:O, Southeast:B-Area, Asia:I-Area, and:O, Russia: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 this case , a small group reusing exploit code , some powershell-based malware and mostly social engineering has been able to steal sensitive documents and data from victims since at least November 2015 .' [/INST] [In:O, this:O, case:O, ,:O, a:O, small:O, group:B-HackOrg, reusing:O, exploit:O, code:O, ,:O, some:O, powershell-based:B-Tool, malware:I-Tool, and:O, mostly:O, social:B-Idus, engineering:I-Idus, has:O, been:O, able:O, to:O, steal:B-Purp, sensitive:I-Purp, documents:I-Purp, and:I-Purp, data:I-Purp, from:O, victims:O, since:O, at:O, least:O, November:B-Time, 2015:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group exploits known vulnerabilities in Microsoft Office products to infect their targets with malware .' [/INST] [The:O, group:B-HackOrg, exploits:O, known:O, vulnerabilities:O, in:O, Microsoft:B-Tool, Office:I-Tool, products:I-Tool, to:O, infect:B-Purp, their:I-Purp, targets:I-Purp, with: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: 'PittyTiger has also been seen using Heartbleed vulnerability in order to directly get valid credentials .' [/INST] [PittyTiger:B-HackOrg, has:O, also:O, been:O, seen:O, using:O, Heartbleed:B-Exp, vulnerability:I-Exp, in:O, order:O, to:O, directly:O, get:B-Purp, valid:I-Purp, credentials: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 have also been seen using Heartbleed vulnerability in order to directly get valid credentials .' [/INST] [They:O, have:O, also:O, been:O, seen:O, using:O, Heartbleed:B-Exp, vulnerability:I-Exp, in:O, order:O, to:O, directly:O, get:B-Purp, valid:I-Purp, credentials: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 Pitty Tiger group mostly uses spear phishing in order to gain an initial foothold within the targeted environment .' [/INST] [The:O, Pitty:B-HackOrg, Tiger:I-HackOrg, group:I-HackOrg, mostly:O, uses:O, spear:B-Way, phishing:I-Way, in:O, order:O, to:O, gain:B-Purp, an:I-Purp, initial:I-Purp, foothold:I-Purp, within:O, the:O, targeted:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Like many such groups , PLATINUM seeks to steal sensitive intellectual property related to government interests , but its range of preferred targets is consistently limited to specific governmental organizations , defense institutes , intelligence agencies , diplomatic institutions , and telecommunication providers in South and Southeast Asia .' [/INST] [Like:O, many:O, such:O, groups:B-HackOrg, ,:O, PLATINUM:B-HackOrg, seeks:O, to:O, steal:B-Purp, sensitive:I-Purp, intellectual:I-Purp, property:I-Purp, related:O, to:O, government:B-Idus, interests:O, ,:O, but:O, its:O, range:O, of:O, preferred:O, targets:O, is:O, consistently:O, limited:O, to:O, specific:O, governmental:B-Org, organizations:I-Org, ,:O, defense:B-Org, institutes:I-Org, ,:O, intelligence:B-Org, agencies:I-Org, ,:O, diplomatic:B-Org, institutions:I-Org, ,:O, and:O, telecommunication:B-Org, providers:I-Org, in:O, South:B-Area, and:O, Southeast:B-Area, Asia: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: 'LATINUM makes a concerted effort to hide their infection tracks , by self-deleting malicious components , or by using server side logic in ' one shot mode ' where remotely hosted malicious components are only allowed to load once .' [/INST] [LATINUM:B-HackOrg, makes:O, a:O, concerted:O, effort:O, to:O, hide:B-Purp, their:I-Purp, infection:I-Purp, tracks:I-Purp, ,:O, by:O, self-deleting:B-Tool, malicious:I-Tool, components:I-Tool, ,:O, or:O, by:O, using:O, server:B-Tool, side:I-Tool, logic:I-Tool, in:O, ':O, one:O, shot:O, mode:O, ':O, where:O, remotely:O, hosted:O, malicious:O, components:O, are:O, only:O, allowed:O, to:O, load:O, once:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PLATINUM does not conduct its espionage activity to engage in direct financial gain , but instead uses stolen information for indirect economic advantages .' [/INST] [PLATINUM:B-HackOrg, does:O, not:O, conduct:O, its:O, espionage:B-OffAct, activity:I-OffAct, to:O, engage:O, in:O, direct:B-Purp, financial:I-Purp, gain:I-Purp, ,:O, but:O, instead:O, uses:O, stolen:O, information:O, for:O, indirect:O, economic:B-Idus, advantages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PLATINUM uses a number of different custom-developed backdoors to communicate with infected computers .' [/INST] [PLATINUM:B-HackOrg, uses:O, a:O, number:O, of:O, different:O, custom-developed:B-Tool, backdoors:I-Tool, to:O, communicate:B-Purp, with:I-Purp, infected:I-Purp, computers:I-Purp, .:O] </s> |
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