text stringlengths 284 8.14k |
|---|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Enigma packer artifacts in file metadata ( SHA-256: b08b8fddb9dd940a8ab91c9cb29db9bb611a5c533c9489fb99e36c43b4df1eca ) .' [/INST] [Enigma:S-TOOL, packer:O, artifacts:O, in:O, file:O, metadata:O, (:O, SHA-256::O, b08b8fddb9dd940a8ab91c9cb29db9bb611a5c533c9489fb99e36c43b4df1eca:S-SHA2, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 common evasive mechanism used by the Spark backdoor is its ability to check for installed security products using WMI queries ( WQL ) .' [/INST] [One:O, common:O, evasive:O, mechanism:O, used:O, by:O, the:O, Spark:B-MAL, backdoor:E-MAL, is:O, its:O, ability:O, to:O, check:O, for:O, installed:O, security:O, products:O, using:O, WMI:S-TOOL, queries:O, (:O, WQL:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If certain security products are installed , the backdoor does not carry out its malicious activity .' [/INST] [If:O, certain:O, security:O, products:O, are:O, installed:O, ,:O, the:O, backdoor:O, does:O, not:O, carry:O, out:O, its: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: 'Another evasive mechanism used by the backdoor is how it checks whether an Arabic keyboard and Arabic language settings are used on the infected machine .' [/INST] [Another:O, evasive:O, mechanism:O, used:O, by:O, the:O, backdoor:O, is:O, how:O, it:O, checks:O, whether:O, an:O, Arabic:O, keyboard:O, and:O, Arabic:O, language:O, settings:O, are:O, used:O, on:O, the:O, infected:O, machine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If Arabic keyboard and language settings are not found on the machine , the backdoor will not carry out its malicious activity .' [/INST] [If:O, Arabic:O, keyboard:O, and:O, language:O, settings:O, are:O, not:O, found:O, on:O, the:O, machine:O, ,:O, the:O, backdoor:O, will:O, not:O, carry:O, out:O, its: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: 'This check serves two purposes :' [/INST] [This:O, check:O, serves:O, two:O, 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: 'It minimizes the risk of overexposure by specifically targeting Arabic speakers .' [/INST] [It:O, minimizes:O, the:O, risk:O, of:O, overexposure:O, by:O, specifically:O, targeting:O, Arabic:O, speakers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 can thwart detection by automated analysis engines and sandbox solutions .' [/INST] [It:O, can:O, thwart:O, detection:O, by:O, automated:O, analysis:O, engines:O, and:O, sandbox:O, solutions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 unpacking itself , the Spark backdoor creates a hidden window where most of the malicious activity is handled .' [/INST] [After:O, unpacking:O, itself:O, ,:O, the:O, Spark:B-MAL, backdoor:E-MAL, creates:O, a:O, hidden:O, window:S-OS, where:O, most:O, of:O, the:O, malicious:O, activity:O, is:O, handled:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 behavior can be detected using a tool called WinLister , which enumerates hidden windows .' [/INST] [This:O, behavior:O, can:O, be:O, detected:O, using:O, a:O, tool:O, called:O, WinLister:S-TOOL, ,:O, which:O, enumerates:O, hidden:O, windows:S-OS, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 name of the window is Spark4.2 .' [/INST] [The:O, name:O, of:O, the:O, window:O, is:O, Spark4.2:S-MAL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Spark backdoor communicates with the C2 servers over the HTTP protocol .' [/INST] [The:O, Spark:B-MAL, backdoor:E-MAL, communicates:O, with:O, the:O, C2:S-TOOL, servers:O, over:O, the:O, HTTP:S-PROT, protocol:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 data is first encrypted and then encoded with Base64 .' [/INST] [The:O, data:O, is:O, first:O, encrypted:O, and:O, then:O, encoded:O, with:O, Base64:S-ENCR, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 instance , the backdoor posts the data to the domain Nysura.com ( For more domains , please see the IOC section of this research ) .' [/INST] [In:O, this:O, instance:O, ,:O, the:O, backdoor:O, posts:O, the:O, data:O, to:O, the:O, domain:O, Nysura.com:S-DOM, (:O, For:O, more:O, domains:O, ,:O, please:O, see:O, the:O, IOC:O, section:O, of:O, this:O, research:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It is interesting to see that the HTTP POST host header refers to a legitimate domain cnet.com , however , in acutality , the data is sent to nysura.com , as can be seen in the traffic screenshot below .' [/INST] [It:O, is:O, interesting:O, to:O, see:O, that:O, the:O, HTTP:S-PROT, POST:O, host:O, header:O, refers:O, to:O, a:O, legitimate:O, domain:O, cnet.com:S-DOM, ,:O, however:O, ,:O, in:O, acutality:O, ,:O, the:O, data:O, is:O, sent:O, to:O, nysura.com:S-DOM, ,:O, as:O, can:O, be:O, seen:O, in:O, the:O, traffic:O, screenshot:O, below:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 data sent to the C2 follows a structured pattern that uses a predefined keywords array , where each keyword is mapped to a certain subroutine .' [/INST] [The:O, data:O, sent:O, to:O, the:O, C2:S-TOOL, follows:O, a:O, structured:O, pattern:O, that:O, uses:O, a:O, predefined:O, keywords:O, array:O, ,:O, where:O, each:O, keyword:O, is:O, mapped:O, to:O, a:O, certain:O, subroutine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 keywords are comprised of the names of individuals .' [/INST] [The:O, keywords:O, are:O, comprised:O, of:O, the:O, names:O, of:O, individuals:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 are mostly Western names , but there were some Arabic names in a few of the samples .' [/INST] [They:O, are:O, mostly:O, Western:O, names:O, ,:O, but:O, there:O, were:O, some:O, Arabic:O, names:O, in:O, a:O, few:O, of:O, the:O, samples:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Prior to sending the data to the server , the data is encrypted and staged in an array like this :' [/INST] [Prior:O, to:O, sending:O, the:O, data:O, to:O, the:O, server:O, ,:O, the:O, data:O, is:O, encrypted:O, and:O, staged:O, in:O, an:O, array:O, like:O, this:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '[27089,28618,9833,4170,25722,19977,2369,21426,3435,7442,30146,21719,16140,16280,16688,22550,19867,194,3298] .' [/INST] [[27089,28618,9833,4170,25722,19977,2369,21426,3435,7442,30146,21719,16140,16280,16688,22550,19867,194,3298]:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 data is then encoded with Base64 :' [/INST] [The:O, data:O, is:O, then:O, encoded:O, with:O, Base64:S-ENCR, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ', WzI3MDg5LDI4NjE4LDk4MzMsNDE3MCwyNTcyMiwxOTk3NywyMzY5LDIxNDI2LDM0MzUsNzQ0MiwzMDE0NiwyMTcxOSwxNjE0MCwxNjI4MCwxNjY4OCwyMjU1MCwxOTg2NywxOTQsMzI5OF0= , .' [/INST] [,:O, WzI3MDg5LDI4NjE4LDk4MzMsNDE3MCwyNTcyMiwxOTk3NywyMzY5LDIxNDI2LDM0MzUsNzQ0MiwzMDE0NiwyMTcxOSwxNjE0MCwxNjI4MCwxNjY4OCwyMjU1MCwxOTg2NywxOTQsMzI5OF0=:O, ,:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Base64-encoded data is inserted into the following json object , which contains the individual names .' [/INST] [The:O, Base64-encoded:S-ENCR, data:O, is:O, inserted:O, into:O, the:O, following:O, json:O, object:O, ,:O, which:O, contains:O, the:O, individual:O, names:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Lastly , the entire json object is encoded with Base64 and undergoes another stage of encryption , and then sent to the server :' [/INST] [Lastly:O, ,:O, the:O, entire:O, json:O, object:O, is:O, encoded:O, with:O, Base64:S-ENCR, and:O, undergoes:O, another:O, stage:O, of:O, encryption:O, ,:O, and:O, then:O, sent:O, to: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: ', ZjRTc1dTTU9nVW5FaXM3bGgvbU90MTlVMHFkb1c5SFFuRXhhSVR5YytIQkZremk3bk5wY21BUEZRYitJenA1cnlJY1lxREJJZ1RrL0N4UzZWcVVQM0pTUWFISlhKWG8wN1BxWE1hYThHSUdEVnBFakYrNlp1bXBvdUZMRFNYQVhxYk9tSElWYTFOTlpJK0hFVVBmTG9CQUV3VCtqQ2FCVUE1aHQ2SzllSHREMUpOdkdBUXZ3TWgyLzhtVHpha2I0TE81ZlpURTQyUmVjdFY1M0ZpemlRR1FLL1gzNE9mcU0zR0JqQ1ZnN1hCSmFGaC94RHBDMkNBRmZaSTVoVlhsaTBtQW5SR3N5QzVRY2lMNkpZVFJuRTQrUzBjdjU4SjY4ejRCL2FNbW9IakRheHdQd1RPUElkOHNDbDRVbmp2ZDM0ZVZlZTB1QVA0UHo0YllyVHRMZVRnPT0= , .' [/INST] [,:O, ZjRTc1dTTU9nVW5FaXM3bGgvbU90MTlVMHFkb1c5SFFuRXhhSVR5YytIQkZremk3bk5wY21BUEZRYitJenA1cnlJY1lxREJJZ1RrL0N4UzZWcVVQM0pTUWFISlhKWG8wN1BxWE1hYThHSUdEVnBFakYrNlp1bXBvdUZMRFNYQVhxYk9tSElWYTFOTlpJK0hFVVBmTG9CQUV3VCtqQ2FCVUE1aHQ2SzllSHREMUpOdkdBUXZ3TWgyLzhtVHpha2I0TE81ZlpURTQyUmVjdFY1M0ZpemlRR1FLL1gzNE9mcU0zR0JqQ1ZnN1hCSmFGaC94RHBDMkNBRmZaSTVoVlhsaTBtQW5SR3N5QzVRY2lMNkpZVFJuRTQrUzBjdjU4SjY4ejRCL2FNbW9IakRheHdQd1RPUElkOHNDbDRVbmp2ZDM0ZVZlZTB1QVA0UHo0YllyVHRMZVRnPT0=:O, ,:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Using names as keywords is an identical technique to that of the data structure logic previously documented by 360 ’s blog post .' [/INST] [Using:O, names:O, as:O, keywords:O, is:O, an:O, identical:O, technique:O, to:O, that:O, of:O, the:O, data:O, structure:O, logic:O, previously:O, documented:O, by:O, 360:S-SECTEAM, ’s:O, blog:O, post:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This post discusses an earlier variant of the backdoor attributed to the MoleRATs group .' [/INST] [This:O, post:O, discusses:O, an:O, earlier:O, variant:O, of:O, the:O, backdoor:O, attributed:O, to:O, the:O, MoleRATs:S-APT, 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: 'Using other individuals names for C2 communication has also been done by the two other Gaza Cybergang groups :' [/INST] [Using:O, other:O, individuals:O, names:O, for:O, C2:S-TOOL, communication:O, has:O, also:O, been:O, done:O, by:O, the:O, two:O, other:O, Gaza:O, Cybergang:O, groups:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Gaza Cybergang Group 2 with the Micropsia backdoor :' [/INST] [Gaza:B-APT, Cybergang:E-APT, Group:O, 2:O, with:O, the:O, Micropsia:B-MAL, backdoor:E-MAL, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this instance , the C2 communication implemented by the Micropsia backdoor also used specific names for different C2 commands .' [/INST] [In:O, this:O, instance:O, ,:O, the:O, C2:S-TOOL, communication:O, implemented:O, by:O, the:O, Micropsia:B-MAL, backdoor:E-MAL, also:O, used:O, specific:O, names:O, for:O, different:O, C2:S-TOOL, commands:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Gaza Cybergang Group 3 in Operation Parliament : In this instance , the malware also used people ’s names for C2 communication to send and receive commands from the server .' [/INST] [Gaza:B-APT, Cybergang:E-APT, Group:O, 3:O, in:O, Operation:O, Parliament:O, ::O, In:O, this:O, instance:O, ,:O, the:O, malware:O, also:O, used:O, people:O, ’s:O, names:O, for:O, C2:S-TOOL, communication:O, to:O, send:O, and:O, receive:O, commands:O, from: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: 'Based on the similarity of the naming convention and data format , we believe the Spark backdoor could be an evolution of the backdoor mentioned in Operation Parliament , or at least inspired by the malware .' [/INST] [Based:O, on:O, the:O, similarity:O, of:O, the:O, naming:O, convention:O, and:O, data:O, format:O, ,:O, we:O, believe:O, the:O, Spark:B-MAL, backdoor:E-MAL, could:O, be:O, an:O, evolution:O, of:O, the:O, backdoor:O, mentioned:O, in:O, Operation:O, Parliament:O, ,:O, or:O, at:O, least:O, inspired:O, by:O, the: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: 'The Spark campaign detailed in this blog demonstrates how the tense geopolitical climate in the Middle East is used by threat actors to lure victims and infect them with the Spark backdoor for cyber espionage purposes .' [/INST] [The:O, Spark:S-MAL, campaign:O, detailed:O, in:O, this:O, blog:O, demonstrates:O, how:O, the:O, tense:O, geopolitical:O, climate:O, in:O, the:O, Middle:B-LOC, East:E-LOC, is:O, used:O, by:O, threat:O, actors:O, to:O, lure:O, victims:O, and:O, infect:O, them:O, with:O, the:O, Spark:B-MAL, backdoor:E-MAL, for:O, cyber:O, espionage:O, 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: 'The names of the files and decoy content seem to be carefully crafted , often referencing controversial and topical political issues .' [/INST] [The:O, names:O, of:O, the:O, files:O, and:O, decoy:O, content:O, seem:O, to:O, be:O, carefully:O, crafted:O, ,:O, often:O, referencing:O, controversial:O, and:O, topical:O, political:O, issues:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cybereason estimates that the files are specifically meant to lure and appeal to victims from the Middle East , especially towards individuals and entities in the Palestinian territories likely related to the Palestinian government or the Fatah movement .' [/INST] [Cybereason:S-SECTEAM, estimates:O, that:O, the:O, files:O, are:O, specifically:O, meant:O, to:O, lure:O, and:O, appeal:O, to:O, victims:O, from:O, the:O, Middle:B-MAL, East:E-MAL, ,:O, especially:O, towards:O, individuals:O, and:O, entities:O, in:O, the:O, Palestinian:O, territories:O, likely:O, related:O, to:O, the:O, Palestinian:O, government:O, or:O, the:O, Fatah:S-LOC, movement:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 techniques , tools , and procedures used in this campaign bear great resemblance to previous attacks attributed to the MoleRATs Group ( aka Gaza Cybergang Group ) , an Arabic-speaking , politically motivated group that has operated in the Middle East since 2012 .' [/INST] [The:O, techniques:O, ,:O, tools:O, ,:O, and:O, procedures:O, used:O, in:O, this:O, campaign:O, bear:O, great:O, resemblance:O, to:O, previous:O, attacks:O, attributed:O, to:O, the:O, MoleRATs:S-APT, Group:O, (:O, aka:O, Gaza:B-APT, Cybergang:E-APT, Group:O, ):O, ,:O, an:O, Arabic-speaking:O, ,:O, politically:O, motivated:O, group:O, that:O, has:O, operated:O, in:O, the:O, Middle:B-LOC, East:E-LOC, since:O, 2012:S-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: 'Our research demonstrates the efforts used by attackers to reduce the risk of detection of the Spark backdoor by various security products .' [/INST] [Our:O, research:O, demonstrates:O, the:O, efforts:O, used:O, by:O, attackers:O, to:O, reduce:O, the:O, risk:O, of:O, detection:O, of:O, the:O, Spark:B-MAL, backdoor:E-MAL, by:O, various:O, security:O, products:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The backdoor checks for the existence of antivirus and firewall products before it initiates its malicious activity .' [/INST] [The:O, backdoor:O, checks:O, for:O, the:O, existence:O, of:O, antivirus:O, and:O, firewall:O, products:O, before:O, it:O, initiates:O, its: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: 'Importantly , the backdoor simply will not reveal its malicious nature unless Arabic language keyboard and settings are found on the infected machine .' [/INST] [Importantly:O, ,:O, the:O, backdoor:O, simply:O, will:O, not:O, reveal:O, its:O, malicious:O, nature:O, unless:O, Arabic:O, language:O, keyboard:O, and:O, settings:O, are:O, found:O, on:O, the:O, infected:O, machine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This shows how the attackers use this backdoor in a surgical way to exclusively attack specific targets .' [/INST] [This:O, shows:O, how:O, the:O, attackers:O, use:O, this:O, backdoor:O, in:O, a:O, surgical:O, way:O, to:O, exclusively:O, attack:O, specific:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition , analysis of these backdoor delivery methods also highlights a trend by many threat actors where they use legitimate storage platforms to deliver the initial stages of the attack .' [/INST] [In:O, addition:O, ,:O, analysis:O, of:O, these:O, backdoor:O, delivery:O, methods:O, also:O, highlights:O, a:O, trend:O, by:O, many:O, threat:O, actors:O, where:O, they:O, use:O, legitimate:O, storage:O, platforms:O, to:O, deliver:O, the:O, initial:O, stages:O, of:O, the:O, attack:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Reviving MuddyC3 Used by MuddyWater ( IRAN ) APT .' [/INST] [Reviving:O, MuddyC3:S-TOOL, Used:O, by:O, MuddyWater:S-APT, (:O, IRAN:S-APT, ):O, APT:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'MuddyWater is a well-known threat actor group founded by Iran . “ that has been active since 2017 .' [/INST] [MuddyWater:S-APT, is:O, a:O, well-known:O, threat:O, actor:O, group:O, founded:O, by:O, Iran:S-LOC, .:O, “:O, that:O, has:O, been:O, active:O, since:O, 2017:S-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: 'They target groups across Middle East and Central Asia , primarily using spear phishing emails with malicious attachments .' [/INST] [They:O, target:O, groups:O, across:O, Middle:B-LOC, East:E-LOC, and:O, Central:O, Asia:S-LOC, ,:O, primarily:O, using:O, spear:B-ACT, phishing:E-ACT, emails:S-TOOL, with:O, malicious:O, attachments:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 recently they were connected to a campaign in March that targeted ” organizations in Turkey , Pakistan , and Tajikistan .' [/INST] [Most:O, recently:O, they:O, were:O, connected:O, to:O, a:O, campaign:O, in:O, March:S-TIME, that:O, targeted:O, ”:O, organizations:O, in:O, Turkey:S-LOC, ,:O, Pakistan:S-LOC, ,:O, and:O, Tajikistan:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'MuddyWater attacks are characterized by the use of a slowly evolving PowerShell-based first stage backdoor we call “ POWERSTATS ” .' [/INST] [MuddyWater:S-APT, attacks:O, are:O, characterized:O, by:O, the:O, use:O, of:O, a:O, slowly:O, evolving:O, PowerShell-based:S-TOOL, first:O, stage:O, backdoor:O, we:O, call:O, “:O, POWERSTATS:S-MAL, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Despite broad scrutiny and reports on MuddyWater attacks , the activity continues with only incremental changes to the tools and techniques .' [/INST] [Despite:O, broad:O, scrutiny:O, and:O, reports:O, on:O, MuddyWater:S-APT, attacks:O, ,:O, the:O, activity:O, continues:O, with:O, only:O, incremental:O, changes:O, to:O, the:O, tools:O, and:O, techniques:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In June 26 2019 a group called “ Green Leakers ” on telegram published screenshots of the C2 admin panel as you can see below along with screenshot of the muddyc3 c2 source code . they announced that they are selling all the leaked tools for 0.5BTC .' [/INST] [In:O, June:B-TIME, 26:I-TIME, 2019:E-TIME, a:O, group:O, called:O, “:O, Green:B-APT, Leakers:E-APT, ”:O, on:O, telegram:O, published:O, screenshots:O, of:O, the:O, C2:S-TOOL, admin:O, panel:O, as:O, you:O, can:O, see:O, below:O, along:O, with:O, screenshot:O, of:O, the:O, muddyc3:S-TOOL, c2:S-TOOL, source:O, code:O, .:O, they:O, announced:O, that:O, they:O, are:O, selling:O, all:O, the:O, leaked:O, tools:O, for:O, 0.5BTC:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 that time i got the source code from github , so i tried the code to find that the core of the c2 which is powershell payload is messing ( the leaker didn’t include the payload in order to by all the tools ) . so i didn’t have time to reverse engineer the source code and i left it . last week i got 3 days off from my work ( working in SOC will keep you for ever busy ) so i started analyzing the code which will be discussed below and i was able to understand how it works in order to create the messing powershell payload and make the c2 come to life .' [/INST] [At:O, that:O, time:O, i:O, got:O, the:O, source:O, code:O, from:O, github:S-TOOL, ,:O, so:O, i:O, tried:O, the:O, code:O, to:O, find:O, that:O, the:O, core:O, of:O, the:O, c2:S-TOOL, which:O, is:O, powershell:S-TOOL, payload:O, is:O, messing:O, (:O, the:O, leaker:O, didn’t:O, include:O, the:O, payload:O, in:O, order:O, to:O, by:O, all:O, the:O, tools:O, ):O, .:O, so:O, i:O, didn’t:O, have:O, time:O, to:O, reverse:O, engineer:O, the:O, source:O, code:O, and:O, i:O, left:O, it:O, .:O, last:O, week:O, i:O, got:O, 3:O, days:O, off:O, from:O, my:O, work:O, (:O, working:O, in:O, SOC:S-TOOL, will:O, keep:O, you:O, for:O, ever:O, busy:O, ):O, so:O, i:O, started:O, analyzing:O, the:O, code:O, which:O, will:O, be:O, discussed:O, below:O, and:O, i:O, was:O, able:O, to:O, understand:O, how:O, it:O, works:O, in:O, order:O, to:O, create:O, the:O, messing:O, powershell:S-TOOL, payload:O, and:O, make:O, the:O, c2:S-TOOL, come:O, to:O, life:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'I didn’t just revive the C2 but also added more advanced functionality which will be released as separate tool soon .' [/INST] [I:O, didn’t:O, just:O, revive:O, the:O, C2:S-TOOL, but:O, also:O, added:O, more:O, advanced:O, functionality:O, which:O, will:O, be:O, released:O, as:O, separate:O, tool:O, soon:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Lets start by giving a summary about the muddyc3 tool :' [/INST] [Lets:O, start:O, by:O, giving:O, a:O, summary:O, about:O, the:O, muddyc3:S-TOOL, tool:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Coded with python2.7 . works as C2 server that serve a powershell agent script when requested . i didn’t find any function to encrypt the traffic between the the agent and the C2 but there are variables with name private_key , public_key so i suspect the functions removed . its make use of HTA and bas64 encoded powershell code to bypass the AV ( right now AV can catch HTA ) .' [/INST] [Coded:O, with:O, python2.7:S-TOOL, .:O, works:O, as:O, C2:S-TOOL, server:O, that:O, serve:O, a:O, powershell:S-TOOL, agent:O, script:O, when:O, requested:O, .:O, i:O, didn’t:O, find:O, any:O, function:O, to:O, encrypt:O, the:O, traffic:O, between:O, the:O, the:O, agent:O, and:O, the:O, C2:S-TOOL, but:O, there:O, are:O, variables:O, with:O, name:O, private_key:O, ,:O, public_key:O, so:O, i:O, suspect:O, the:O, functions:O, removed:O, .:O, its:O, make:O, use:O, of:O, HTA:S-TOOL, and:O, bas64:S-ENCR, encoded:O, powershell:S-TOOL, code:O, to:O, bypass:O, the:O, AV:S-TOOL, (:O, right:O, now:O, AV:S-TOOL, can:O, catch:O, HTA:S-TOOL, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It use threading so many agent can connect and controlled at the same time . the agent must collect information about the system when it first start then report it to the C2 . there is template for agent which will be filled with ip and port when the C2 run . include functions but not all implemented in the initial POC :' [/INST] [It:O, use:O, threading:O, so:O, many:O, agent:O, can:O, connect:O, and:O, controlled:O, at:O, the:O, same:O, time:O, .:O, the:O, agent:O, must:O, collect:O, information:O, about:O, the:O, system:O, when:O, it:O, first:O, start:O, then:O, report:O, it:O, to:O, the:O, C2:S-TOOL, .:O, there:O, is:O, template:O, for:O, agent:O, which:O, will:O, be:O, filled:O, with:O, ip:O, and:O, port:O, when:O, the:O, C2:S-TOOL, run:O, .:O, include:O, functions:O, but:O, not:O, all:O, implemented:O, in:O, the:O, initial:O, POC:S-TOOL, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'upload , download , load modules , get screenshot .' [/INST] [upload:O, ,:O, download:O, ,:O, load:O, modules:O, ,:O, get:O, screenshot:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The initial powershell agent POC i created can bypass the AV including Kaspersky , Trendmicro .' [/INST] [The:O, initial:O, powershell:S-TOOL, agent:O, POC:S-TOOL, i:O, created:O, can:O, bypass:O, the:O, AV:S-TOOL, including:O, Kaspersky:S-TOOL, ,:O, Trendmicro:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Now we dig deep in the C2 to explain how it work and how i created the agent based on the function available in the C2 .' [/INST] [Now:O, we:O, dig:O, deep:O, in:O, the:O, C2:S-TOOL, to:O, explain:O, how:O, it:O, work:O, and:O, how:O, i:O, created:O, the:O, agent:O, based:O, on:O, the:O, function:O, available:O, in:O, the:O, C2:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'C2 interface' [/INST] [C2:S-TOOL, interface:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ':' [/INST] [::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'simple CLI interface that ask when started for IP ,Port and proxy configuration to generate the initial payloads .' [/INST] [simple:O, CLI:S-TOOL, interface:O, that:O, ask:O, when:O, started:O, for:O, IP:O, ,Port:O, and:O, proxy:O, configuration:O, to:O, generate:O, the:O, initial: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: 'The Nitro Attacks .' [/INST] [The:O, Nitro:S-APT, 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: 'This document discusses a recent targeted attack campaign directed primarily at private companies involved in the research , development , and manufacture of chemicals and advanced materials .' [/INST] [This:O, document:O, discusses:O, a:O, recent:O, targeted:O, attack:O, campaign:O, directed:O, primarily:O, at:O, private:O, companies:O, involved:O, in:O, the:O, research:O, ,:O, development:O, ,:O, and:O, manufacture:O, of:O, chemicals:O, and:O, advanced:O, materials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 goal of the attackers appears to be to collect intellectual property such as design documents , formulas , and manufacturing processes .' [/INST] [The:O, goal:O, of:O, the:O, attackers:O, appears:O, to:O, be:O, to:O, collect:O, intellectual:O, property:O, such:O, as:O, design:O, documents:O, ,:O, formulas:O, ,:O, and:O, manufacturing:O, processes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , the same attackers appear to have a lengthy operation history including attacks on other industries and organizations .' [/INST] [In:O, addition:O, ,:O, the:O, same:O, attackers:O, appear:O, to:O, have:O, a:O, lengthy:O, operation:O, history:O, including:O, attacks:O, on:O, other:O, industries:O, and:O, organizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attacks on the chemical industry are merely their latest attack wave .' [/INST] [Attacks:O, on:O, the:O, chemical:O, industry:O, are:O, merely:O, their:O, latest:O, attack:O, wave:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 part of our investigations , we were also able to identify and contact one of the attackers to try and gain insights into the motivations behind these attacks .' [/INST] [As:O, part:O, of:O, our:O, investigations:O, ,:O, we:O, were:O, also:O, able:O, to:O, identify:O, and:O, contact:O, one:O, of:O, the:O, attackers:O, to:O, try:O, and:O, gain:O, insights:O, into:O, the:O, motivations:O, behind:O, these:O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As the pattern of chemical industry targets emerged , we internally code-named the attack campaign Nitro .' [/INST] [As:O, the:O, pattern:O, of:O, chemical:O, industry:O, targets:O, emerged:O, ,:O, we:O, internally:O, code-named:O, the:O, attack:O, campaign:O, Nitro:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attack wave started in late July 2011 and continued into midSeptember 2011 .' [/INST] [The:O, attack:O, wave:O, started:O, in:O, late:B-TIME, July:I-TIME, 2011:E-TIME, and:O, continued:O, into:O, midSeptember:B-TIME, 2011:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , artifacts of the attack wave such as Command and Control ( C&C ) servers are also used as early as April 2011 and against targets outside the chemical industry .' [/INST] [However:O, ,:O, artifacts:O, of:O, the:O, attack:O, wave:O, such:O, as:O, Command:B-TOOL, and:I-TOOL, Control:E-TOOL, (:O, C&C:S-TOOL, ):O, servers:O, are:O, also:O, used:O, as:O, early:O, as:O, April:B-TIME, 2011:E-TIME, and:O, against:O, targets:O, outside:O, the:O, chemical:O, industry:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 purpose of the attacks appears to be industrial espionage , collecting intellectual property for competitive advantage .' [/INST] [The:O, purpose:O, of:O, the:O, attacks:O, appears:O, to:O, be:O, industrial:O, espionage:S-ACT, ,:O, collecting:O, intellectual:O, property:O, for:O, competitive:O, advantage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 first researched desired targets and then sent an email specifically to the target .' [/INST] [The:O, attackers:O, first:O, researched:O, desired:O, targets:O, and:O, then:O, sent:O, an:O, email:S-TOOL, specifically:O, to:O, the:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Each organization typically only saw a handful of employees at the receiving end of these emails .' [/INST] [Each:O, organization:O, typically:O, only:O, saw:O, a:O, handful:O, of:O, employees:O, at:O, the:O, receiving:O, end:O, of:O, these:O, emails:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , in one organization almost 500 recipients received a mail , while in two other organizations , more than 100 were selected .' [/INST] [However:O, ,:O, in:O, one:O, organization:O, almost:O, 500:O, recipients:O, received:O, a:O, mail:O, ,:O, while:O, in:O, two:O, other:O, organizations:O, ,:O, more:O, than:O, 100:O, were:O, selected:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While the attackers used different pretexts when sending these malicious emails , two methodologies stood out .' [/INST] [While:O, the:O, attackers:O, used:O, different:O, pretexts:O, when:O, sending:O, these:O, malicious:O, emails:S-TOOL, ,:O, two:O, methodologies:O, stood:O, out:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First , when a specific recipient was targeted , the mails often purported to be meeting invitations from established business partners .' [/INST] [First:O, ,:O, when:O, a:O, specific:O, recipient:O, was:O, targeted:O, ,:O, the:O, mails:O, often:O, purported:O, to:O, be:O, meeting:O, invitations:O, from:O, established:O, business:O, partners:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Secondly , when the emails were being sent to a broad set of recipients , the mails purported to be a necessary security update .' [/INST] [Secondly:O, ,:O, when:O, the:O, emails:S-TOOL, were:O, being:O, sent:O, to:O, a:O, broad:O, set:O, of:O, recipients:O, ,:O, the:O, mails:O, purported:O, to:O, be:O, a:O, necessary:O, security:O, update:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 emails then contained an attachment that was either an executable that appeared to be a text file based on the file name and icon , or a password-protected archive containing an executable file with the password provided in the email .' [/INST] [The:O, emails:S-TOOL, then:O, contained:O, an:O, attachment:O, that:O, was:O, either:O, an:O, executable:O, that:O, appeared:O, to:O, be:O, a:O, text:O, file:O, based:O, on:O, the:O, file:O, name:O, and:O, icon:O, ,:O, or:O, a:O, password-protected:O, archive:O, containing:O, an:O, executable:O, file:O, with:O, the:O, password:O, provided:O, in:O, the:O, email:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In both cases , the executable file was a self-extracting executable containing PoisonIvy , a common backdoor Trojan developed by a Chinese speaker .' [/INST] [In:O, both:O, cases:O, ,:O, the:O, executable:O, file:O, was:O, a:O, self-extracting:O, executable:O, containing:O, PoisonIvy:S-MAL, ,:O, a:O, common:O, backdoor:O, Trojan:S-MAL, developed:O, by:O, a:O, Chinese:O, speaker:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When the recipient attempted to open the attachment , they would inadvertently execute the file , causing PoisonIvy to be installed .' [/INST] [When:O, the:O, recipient:O, attempted:O, to:O, open:O, the:O, attachment:O, ,:O, they:O, would:O, inadvertently:O, execute:O, the:O, file:O, ,:O, causing:O, PoisonIvy:S-MAL, to:O, be:O, installed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 PoisonIvy was installed , it contacted a C&C server on TCP port 80 using an encrypted communication protocol .' [/INST] [Once:O, PoisonIvy:S-MAL, was:O, installed:O, ,:O, it:O, contacted:O, a:O, C&C:S-TOOL, server:O, on:O, TCP:S-PROT, port:O, 80:O, using:O, an:O, encrypted:O, communication:O, protocol:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Using the C&C server , the attackers then instructed the compromised computer to provide the infected computer ’s IP address , the names of all other computers in the workgroup or domain , and dumps of Windows cached password hashes .' [/INST] [Using:O, the:O, C&C:S-TOOL, server:O, ,:O, the:O, attackers:O, then:O, instructed:O, the:O, compromised:O, computer:O, to:O, provide:O, the:O, infected:O, computer:O, ’s:O, IP:O, address:O, ,:O, the:O, names:O, of:O, all:O, other:O, computers:O, in:O, the:O, workgroup:O, or:O, domain:O, ,:O, and:O, dumps:O, of:O, Windows:S-OS, cached:O, password:O, hashes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By using access to additional computers through the currently logged on user or cracked passwords through dumped hashes , the attackers then began traversing the network infecting additional computers .' [/INST] [By:O, using:O, access:O, to:O, additional:O, computers:O, through:O, the:O, currently:O, logged:O, on:O, user:O, or:O, cracked:O, passwords:O, through:O, dumped:O, hashes:O, ,:O, the:O, attackers:O, then:O, began:O, traversing:O, the:O, network:O, infecting:O, additional: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: 'Typically , their primary goal is to obtain domain administrator credentials and/or gain access to a system storing intellectual property .' [/INST] [Typically:O, ,:O, their:O, primary:O, goal:O, is:O, to:O, obtain:O, domain:O, administrator:O, credentials:O, and/or:O, gain:O, access:O, to:O, a:O, system:O, storing:O, intellectual:O, property:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Domain administrator credentials make it easier for the attacker to find servers hosting the desired intellectual property and gain access to the sensitive materials .' [/INST] [Domain:O, administrator:O, credentials:O, make:O, it:O, easier:O, for:O, the:O, attacker:O, to:O, find:O, servers:O, hosting:O, the:O, desired:O, intellectual:O, property:O, and:O, gain:O, access:O, to:O, the:O, sensitive:O, materials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 may have also downloaded and installed additional tools to penetrate the network further .' [/INST] [The:O, attackers:O, may:O, have:O, also:O, downloaded:O, and:O, installed:O, additional:O, tools:O, to:O, penetrate:O, the:O, network:O, further:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While the behavior of the attackers differs slightly in each compromise , generally once the attackers have identified the desired intellectual property , they copy the content to archives on internal systems they use as internal staging servers .' [/INST] [While:O, the:O, behavior:O, of:O, the:O, attackers:O, differs:O, slightly:O, in:O, each:O, compromise:O, ,:O, generally:O, once:O, the:O, attackers:O, have:O, identified:O, the:O, desired:O, intellectual:O, property:O, ,:O, they:O, copy:O, the:O, content:O, to:O, archives:O, on:O, internal:O, systems:O, they:O, use:O, as:O, internal:O, staging:O, servers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 content is then uploaded to a remote site outside of the compromised organization completing the attack .' [/INST] [This:O, content:O, is:O, then:O, uploaded:O, to:O, a:O, remote:O, site:O, outside:O, of:O, the:O, compromised:O, organization:O, completing:O, the:O, attack:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The majority of infected machines are located in the US , Bangladesh and the UK ;' [/INST] [The:O, majority:O, of:O, infected:O, machines:O, are:O, located:O, in:O, the:O, US:S-LOC, ,:O, Bangladesh:S-LOC, and:O, the:O, UK:S-LOC, ;:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , overall there is wide geographical spread of infections .' [/INST] [however:O, ,:O, overall:O, there:O, is:O, wide:O, geographical:O, spread:O, of:O, infections:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 mentioned above , the threat used to compromise the targeted networks is Poison Ivy , a Remote Access Tool ( RAT ) .' [/INST] [As:O, mentioned:O, above:O, ,:O, the:O, threat:O, used:O, to:O, compromise:O, the:O, targeted:O, networks:O, is:O, Poison:B-MAL, Ivy:E-MAL, ,:O, a:O, Remote:O, Access:O, Tool:O, (:O, RAT:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This application is freely available from poisonivy-rat.com .' [/INST] [This:O, application:O, is:O, freely:O, available:O, from:O, poisonivy-rat.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It comes fully loaded with a number of plug-ins to give an attacker complete control of the compromised computer .' [/INST] [It:O, comes:O, fully:O, loaded:O, with:O, a:O, number:O, of:O, plug-ins:O, to:O, give:O, an:O, attacker:O, complete:O, control:O, of:O, the:O, compromised:O, computer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The method of delivery has changed over time as the attackers have changed targets .' [/INST] [The:O, method:O, of:O, delivery:O, has:O, changed:O, over:O, time:O, as:O, the:O, attackers:O, have:O, changed: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: 'Older attacks involved a self-extracting archive with a suggestive name , for example : “ Human right report of north Africa under the war . scr ” .' [/INST] [Older:O, attacks:O, involved:O, a:O, self-extracting:O, archive:O, with:O, a:O, suggestive:O, name:O, ,:O, for:O, example:O, ::O, “:O, Human:O, right:O, report:O, of:O, north:O, Africa:O, under:O, the:O, war:O, .:O, scr:O, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The most recent attacks focusing on the chemical industry are using password-protected 7zip files which , when extracted , contain a self-extracting executable .' [/INST] [The:O, most:O, recent:O, attacks:O, focusing:O, on:O, the:O, chemical:O, industry:O, are:O, using:O, password-protected:O, 7zip:S-TOOL, files:O, which:O, ,:O, when:O, extracted:O, ,:O, contain:O, a:O, self-extracting:O, executable:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The password to extract the 7zip file is included in the email .' [/INST] [The:O, password:O, to:O, extract:O, the:O, 7zip:S-TOOL, file:O, is:O, included:O, in:O, the:O, email:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This extra stage is used to prevent automated systems from extracting the self-extracting archive .' [/INST] [This:O, extra:O, stage:O, is:O, used:O, to:O, prevent:O, automated:O, systems:O, from:O, extracting:O, the:O, self-extracting:O, archive:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 example file names using this technique include : AntiVirus_update_package.7z , acquisition.7z , offer.7z , update_flashplayer10ax.7z .' [/INST] [Some:O, example:O, file:O, names:O, using:O, this:O, technique:O, include:O, ::O, AntiVirus_update_package.7z:S-FILE, ,:O, acquisition.7z:S-FILE, ,:O, offer.7z:S-FILE, ,:O, update_flashplayer10ax.7z:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When the self-extracting archive file is executed , it will drop two files .' [/INST] [When:O, the:O, self-extracting:O, archive:O, file:O, is:O, executed:O, ,:O, it:O, will:O, drop:O, two:O, files:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Examples of file names that are used include : %Temp%\happiness.txt , %Temp%\xxxx.exe .' [/INST] [Examples:O, of:O, file:O, names:O, that:O, are:O, used:O, include:O, ::O, %Temp%\happiness.txt:S-FILE, ,:O, %Temp%\xxxx.exe:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The executable file , xxxx.exe in this case , is then executed .' [/INST] [The:O, executable:O, file:O, ,:O, xxxx.exe:S-FILE, in:O, this:O, case:O, ,:O, is:O, then:O, executed:O, .:O] </s> |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.