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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: 'Tracking the malicious activities of the elusive Ke3chang APT group , ESET researchers have discovered new versions of malware families linked to the group , and a previously unreported backdoor .' [/INST] [Tracking:O, the:O, malicious:B-OffAct, activities:I-OffAct, of:O, the:O, elusive:O, Ke3chang:B-HackOrg, APT:B-HackOrg, group:I-HackOrg, ,:O, ESET:B-SecTeam, researchers:O, have:O, discovered:O, new:O, versions:O, of:O, malware:O, families:O, linked:O, to:O, the:O, group:B-HackOrg, ,:O, and:O, a:O, previously:O, unreported:O, backdoor:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Furthermore , FireEye has presented evidence indicating that the Ke3chang attackers have been active since at least 2010 and have attacked targets related to G20 meetings in the past .' [/INST] [Furthermore:O, ,:O, FireEye:B-SecTeam, has:O, presented:O, evidence:O, indicating:O, that:O, the:O, Ke3chang:B-HackOrg, attackers:B-HackOrg, have:O, been:O, active:O, since:O, at:O, least:O, 2010:B-Time, and:O, have:O, attacked:O, targets:O, related:O, to:O, G20:B-Org, meetings:I-Org, in:O, the:O, past:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During our brief window of visibility into one of the known 22 CnC nodes , FireEye observed the Ke3chang conducting reconnaissance and moving laterally throughout the compromised networks .' [/INST] [During:O, our:O, brief:O, window:O, of:O, visibility:O, into:O, one:O, of:O, the:O, known:O, 22:O, CnC:O, nodes:O, ,:O, FireEye:B-SecTeam, observed:O, the:O, Ke3chang:B-HackOrg, conducting:O, reconnaissance:O, and:O, moving:O, laterally:O, throughout:O, the:O, compromised:O, networks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ke3chang attackers are operating within China .' [/INST] [Ke3chang:B-HackOrg, attackers:B-HackOrg, are:O, operating:O, within:O, China: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 May 2017 , NCC Group 's Incident Response team reacted to an ongoing incident .' [/INST] [In:O, May:B-Time, 2017:I-Time, ,:O, NCC:B-SecTeam, Group:I-SecTeam, 's:I-SecTeam, Incident:I-SecTeam, Response:I-SecTeam, team:O, reacted:O, to:O, an:O, ongoing:O, incident:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'which provides a range of services to UK Government .' [/INST] [which:O, provides:O, a:O, range:O, of:O, services:O, to:O, UK:B-Org, Government:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT15 was targeting information related to UK government departments and military technology .' [/INST] [APT15:B-HackOrg, was:O, targeting:O, information:O, related:O, to:O, UK:B-Area, government:B-Idus, departments:O, and:O, military:B-Idus, technology:I-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'backdoors that now appear to be part of APT15 's toolset .' [/INST] [backdoors:O, that:O, now:O, appear:O, to:O, be:O, part:O, of:O, APT15:B-HackOrg, 's:O, toolset:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This report demonstrates that Ke3chang is able to successfully penetrate government targets using exploits for vulnerabilities that have already been patched and despite the fact that these ministries have defenses in place .' [/INST] [This:O, report:O, demonstrates:O, that:O, Ke3chang:B-HackOrg, is:O, able:O, to:O, successfully:O, penetrate:O, government:B-Idus, targets:O, using:O, exploits:O, for:O, vulnerabilities:O, that:O, have:O, already:O, been:O, patched:O, and:O, despite:O, the:O, fact:O, that:O, these:O, ministries:O, have:O, defenses:O, in:O, place:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'RoyalDNS - required APT15 .' [/INST] [RoyalDNS:B-Tool, -:O, required:O, APT15: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: 'The Ke3chang group also used keyloggers and their own .NET tool to enumerate folders and dump data from Microsoft Exchange mailboxes .' [/INST] [The:O, Ke3chang:B-HackOrg, group:I-HackOrg, also:O, used:O, keyloggers:B-Tool, and:O, their:O, own:O, .NET:B-Tool, tool:I-Tool, to:O, enumerate:O, folders:O, and:O, dump:O, data:O, from:O, Microsoft:O, Exchange:O, mailboxes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT15 was also observed using Mimikatz to dump credentials and generate Kerberos golden tickets .' [/INST] [APT15:B-HackOrg, was:O, also:O, observed:O, using:O, Mimikatz:B-Tool, to:O, dump:O, credentials:O, and:O, generate:O, Kerberos:O, golden:O, tickets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 time , APT15 opted for a DNS based backdoor : RoyalDNS .' [/INST] [This:O, time:O, ,:O, APT15:B-HackOrg, opted:O, for:O, a:O, DNS:B-Tool, based:I-Tool, backdoor:I-Tool, ::O, RoyalDNS: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: 'APT15 then used a tool known as RemoteExec .' [/INST] [APT15:B-HackOrg, then:O, used:O, a:O, tool:O, known:O, as:O, RemoteExec: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: 'APT15 then used a tool known as RemoteExec ( similar to Microsoft .' [/INST] [APT15:B-HackOrg, then:O, used:O, a:O, tool:O, known:O, as:O, RemoteExec:B-Tool, (:O, similar:O, to:O, Microsoft:B-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: 'Coincidentally , following the recent hack of a US Navy contractor and theft of highly sensitive data on submarine warfare , we have found evidence of very recent activity by a group referred to as APT15 , known for committing cyber espionage which is believed to be affiliated with the Chinese government .' [/INST] [Coincidentally:O, ,:O, following:O, the:O, recent:O, hack:O, of:O, a:O, US:B-Area, Navy:B-Org, contractor:O, and:O, theft:O, of:O, highly:O, sensitive:O, data:O, on:O, submarine:O, warfare:O, ,:O, we:O, have:O, found:O, evidence:O, of:O, very:O, recent:O, activity:B-OffAct, by:O, a:O, group:B-HackOrg, referred:O, to:O, as:O, APT15:B-HackOrg, ,:O, known:O, for:O, committing:O, cyber:B-HackOrg, espionage:I-HackOrg, which:O, is:O, believed:O, to:O, be:O, affiliated:O, with:O, the:O, Chinese:B-Area, government:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT15 is known for committing cyberespionage against companies and organizations located in many different countries , targeting different sectors such as the oil industry , government contractors , military , and more .' [/INST] [APT15:B-HackOrg, is:O, known:O, for:O, committing:O, cyberespionage:B-HackOrg, against:O, companies:O, and:O, organizations:O, located:O, in:O, many:O, different:O, countries:O, ,:O, targeting:O, different:O, sectors:O, such:O, as:O, the:O, oil:B-Idus, industry:I-Idus, ,:O, government:B-Org, contractors:I-Org, ,:O, military:B-Idus, ,:O, and:O, more:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 names for the group are Vixen Panda , Ke3chang , Royal APT , and Playful Dragon .' [/INST] [Other:O, names:O, for:O, the:O, group:B-HackOrg, are:O, Vixen:B-HackOrg, Panda:I-HackOrg, ,:O, Ke3chang:B-HackOrg, ,:O, Royal:B-HackOrg, APT:I-HackOrg, ,:O, and:O, Playful:B-HackOrg, Dragon:I-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: 'ther names for the group are Vixen Panda , Ke3chang , Royal APT , and Playful Dragon .' [/INST] [ther:O, names:O, for:O, the:O, group:B-HackOrg, are:O, Vixen:B-HackOrg, Panda:I-HackOrg, ,:O, Ke3chang:B-HackOrg, ,:O, Royal:B-HackOrg, APT:I-HackOrg, ,:O, and:O, Playful:B-HackOrg, Dragon:I-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: 'There are many articles and researches online about APT15 and their activities , the most recent one by NCC Group .' [/INST] [There:O, are:O, many:O, articles:O, and:O, researches:O, online:O, about:O, APT15:B-HackOrg, and:O, their:O, activities:B-OffAct, ,:O, the:O, most:O, recent:O, one:O, by:O, NCC:B-SecTeam, Group:I-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: 'There are many articles and researches online about APT15 and their activities , the most recent one by NCC Group ; although posted in March 2018 , it refers to a campaign in 2017 .' [/INST] [There:O, are:O, many:O, articles:O, and:O, researches:O, online:O, about:O, APT15:B-HackOrg, and:O, their:O, activities:B-OffAct, ,:O, the:O, most:O, recent:O, one:O, by:O, NCC:B-SecTeam, Group:I-SecTeam, ;:O, although:O, posted:O, in:O, March:B-Time, 2018:I-Time, ,:O, it:O, refers:O, to:O, a:O, campaign:B-OffAct, in: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: 'both attributed to Chinese government affiliated groups .' [/INST] [both:O, attributed:O, to:O, Chinese:B-Area, government:O, affiliated: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: 'DLL hijacking techniques have been seen in the past with the APT15 group .' [/INST] [DLL:B-Way, hijacking:I-Way, techniques:I-Way, have:O, been:O, seen:O, in:O, the:O, past:O, with:O, the:O, APT15:B-HackOrg, group:I-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: 'cyber actors of the North Korean to target the media , aerospace , financial , and critical infrastructure sectors in the United States and globally .' [/INST] [cyber:B-HackOrg, actors:I-HackOrg, of:O, the:O, North:B-Area, Korean:I-Area, to:O, target:O, the:O, media:B-Idus, ,:O, aerospace:B-Idus, ,:O, financial:B-Idus, ,:O, and:O, critical:B-Org, infrastructure:I-Org, sectors:I-Org, in:O, the:O, United:B-Area, States:I-Area, and:O, globally:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 U.S. Government refers to the malicious cyber activity by the North Korean government as HIDDEN COBRA .' [/INST] [The:O, U.S.:B-Org, Government:I-Org, refers:O, to:O, the:O, malicious:B-OffAct, cyber:I-OffAct, activity:I-OffAct, by:O, the:O, North:B-Area, Korean:I-Area, government:O, as:O, HIDDEN:B-HackOrg, COBRA:I-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: 'Tools and capabilities used by HIDDEN COBRA actors include DDoS botnets , keyloggers , remote access tools ( RATs ) , and wiper malware .' [/INST] [Tools:O, and:O, capabilities:O, used:O, by:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, actors:I-HackOrg, include:O, DDoS:B-Tool, botnets:I-Tool, ,:O, keyloggers:B-Tool, ,:O, remote:B-Tool, access:I-Tool, tools:I-Tool, (:O, RATs:B-Tool, ):O, ,:O, and:O, wiper:B-Tool, malware: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: 'Variants of malware and tools used by HIDDEN COBRA actors include Destover and Hangman .' [/INST] [Variants:O, of:O, malware:O, and:O, tools:O, used:O, by:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, actors:I-HackOrg, include:O, Destover:B-Tool, and:O, Hangman: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: 'DHS has previously released Alert TA14-353A .' [/INST] [DHS:B-SecTeam, has:O, previously:O, released:O, Alert:O, TA14-353A:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 DeltaCharlie DDoS bot was originally reported by Novetta in their 2016 Operation Blockbuster Malware Report .' [/INST] [The:O, DeltaCharlie:O, DDoS:O, bot:O, was:O, originally:O, reported:O, by:O, Novetta:B-SecTeam, in:O, their:O, 2016:B-Time, Operation:B-OffAct, Blockbuster:I-OffAct, Malware:I-OffAct, Report:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our analysis shows that the cybercriminals behind the attack against an online casino in Central America , and several other targets in late-2017 , were most likely the infamous Lazarus hacking group .' [/INST] [Our:O, analysis:O, shows:O, that:O, the:O, cybercriminals:B-HackOrg, behind:O, the:O, attack:B-OffAct, against:O, an:O, online:O, casino:O, in:O, Central:B-Area, America:I-Area, ,:O, and:O, several:O, other:O, targets:O, in:O, late-2017:B-Time, ,:O, were:O, most:O, likely:O, the:O, infamous:O, Lazarus:B-HackOrg, hacking:I-HackOrg, group:I-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: 'The Lazarus Group was first identified in Novetta 's report Operation Blockbuster in February 2016 .' [/INST] [The:O, Lazarus:B-HackOrg, Group:I-HackOrg, was:O, first:O, identified:O, in:O, Novetta:B-SecTeam, 's:O, report:O, Operation:B-OffAct, Blockbuster:I-OffAct, in:O, February:B-Time, 2016:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'cyberattacks against high-value targets in Ukraine in December 2015 and December 2016 .' [/INST] [cyberattacks:B-OffAct, against:O, high-value:O, targets:O, in:O, Ukraine:B-Area, in:O, December:B-Time, 2015:I-Time, and:O, December:B-Time, 2016:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In all of these incidents , the Lazarus utilized similar toolsets , including KillDisk that was executed on compromised machines .' [/INST] [In:O, all:O, of:O, these:O, incidents:O, ,:O, the:O, Lazarus:B-HackOrg, utilized:O, similar:O, toolsets:O, ,:O, including:O, KillDisk:B-Tool, that:O, was:O, executed:O, on:O, compromised:O, machines:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We are confident this KillDisk malware was deployed by Lazarus , rather than by another , unrelated attacker .' [/INST] [We:O, are:O, confident:O, this:O, KillDisk:B-Tool, malware:I-Tool, was:O, deployed:O, by:O, Lazarus:B-HackOrg, ,:O, rather:O, than:O, by:O, another:O, ,:O, unrelated:O, attacker: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: 'This recent attack against an online casino in Central America suggests that hacking tools from the Lazarus toolset are recompiled with every attack ( we didn't see these exact samples anywhere else ) .' [/INST] [This:O, recent:O, attack:B-OffAct, against:O, an:O, online:O, casino:O, in:O, Central:B-Area, America:I-Area, suggests:O, that:O, hacking:O, tools:O, from:O, the:O, Lazarus:B-HackOrg, toolset:O, are:O, recompiled:O, with:O, every:O, attack:B-OffAct, (:O, we:O, didn't:O, see:O, these:O, exact:O, samples:O, anywhere:O, else: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: 'Utilizing KillDisk in the attack scenario most likely served one of two purposes : the attackers covering their tracks after an espionage operation , or it was used directly for extortion or cyber-sabotage .' [/INST] [Utilizing:O, KillDisk:B-Tool, in:O, the:O, attack:B-OffAct, scenario:O, most:O, likely:O, served:O, one:O, of:O, two:O, purposes:O, ::O, the:O, attackers:B-HackOrg, covering:B-Purp, their:I-Purp, tracks:I-Purp, after:O, an:O, espionage:O, operation:O, ,:O, or:O, it:O, was:O, used:O, directly:O, for:O, extortion:B-Purp, or:O, cyber-sabotage: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: 'Today we'd like to share some of our findings , and add something new to what 's currently common knowledge about Lazarus Group activities , and their connection to the much talked about February 2016 incident , when an unknown attacker attempted to steal up to $851M USD from Bangladesh Central Bank .' [/INST] [Today:O, we'd:O, like:O, to:O, share:O, some:O, of:O, our:O, findings:O, ,:O, and:O, add:O, something:O, new:O, to:O, what:O, 's:O, currently:O, common:O, knowledge:O, about:O, Lazarus:B-OffAct, Group:I-OffAct, activities:I-OffAct, ,:O, and:O, their:O, connection:O, to:O, the:O, much:O, talked:O, about:O, February:B-Time, 2016:I-Time, incident:O, ,:O, when:O, an:O, unknown:O, attacker:B-HackOrg, attempted:O, to:O, steal:O, up:O, to:O, $851M:O, USD:O, from:O, Bangladesh:B-Org, Central:I-Org, Bank: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: 'Since the Bangladesh incident there have been just a few articles explaining the connection between Lazarus Group and the Bangladesh bank heist .' [/INST] [Since:O, the:O, Bangladesh:B-Area, incident:O, there:O, have:O, been:O, just:O, a:O, few:O, articles:O, explaining:O, the:O, connection:O, between:O, Lazarus:B-HackOrg, Group:I-HackOrg, and:O, the:O, Bangladesh:B-Area, bank:B-Idus, heist:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , from this it 's only clear that Lazarus might have attacked Polish banks .' [/INST] [However:O, ,:O, from:O, this:O, it:O, 's:O, only:O, clear:O, that:O, Lazarus:B-HackOrg, might:O, have:O, attacked:O, Polish:O, banks:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Symantec also confirmed seeing the Lazarus wiper tool in Poland at one of their customers .' [/INST] [Symantec:B-SecTeam, also:O, confirmed:O, seeing:O, the:O, Lazarus:B-HackOrg, wiper:O, tool:O, in:O, Poland:B-Area, at:O, one:O, of:O, their:O, customers:B-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: 'Considering that the afterhack publications by the media mentioned that the investigation stumbled upon three different attackers , it was not obvious whether Lazarus was the one responsible for the fraudulent SWIFT transactions , or if Lazarus had in fact developed its own malware to attack banks ' systems .' [/INST] [Considering:O, that:O, the:O, afterhack:O, publications:O, by:O, the:O, media:B-Idus, mentioned:O, that:O, the:O, investigation:O, stumbled:O, upon:O, three:O, different:O, attackers:B-HackOrg, ,:O, it:O, was:O, not:O, obvious:O, whether:O, Lazarus:B-HackOrg, was:O, the:O, one:O, responsible:O, for:O, the:O, fraudulent:O, SWIFT:O, transactions:O, ,:O, or:O, if:O, Lazarus:B-HackOrg, had:O, in:O, fact:O, developed:O, its:O, own:O, malware:O, to:O, attack:O, banks:B-Idus, ':O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We would like to add some strong facts that link some attacks on banks to Lazarus , and share some of our own findings as well as shed some light on the recent TTPs used by the attacker , including some yet unpublished details from the attack in Europe in 2017 .' [/INST] [We:O, would:O, like:O, to:O, add:O, some:O, strong:O, facts:O, that:O, link:O, some:O, attacks:B-OffAct, on:O, banks:B-Idus, to:O, Lazarus:B-HackOrg, ,:O, and:O, share:O, some:O, of:O, our:O, own:O, findings:O, as:O, well:O, as:O, shed:O, some:O, light:O, on:O, the:O, recent:O, TTPs:O, used:O, by:O, the:O, attacker:B-HackOrg, ,:O, including:O, some:O, yet:O, unpublished:O, details:O, from:O, the:O, attack:B-OffAct, in:O, Europe:B-Area, in: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: 'Lazarus attacks are not a local problem and clearly the group 's operations span across the whole world .' [/INST] [Lazarus:B-OffAct, attacks:I-OffAct, are:O, not:O, a:O, local:O, problem:O, and:O, clearly:O, the:O, group:B-HackOrg, 's:O, operations:O, span:O, across:O, the:O, whole:O, world:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Lazarus was previously known to conduct cyberespionage and cybersabotage activities , such as attacks on Sony Pictures Entertainment with volumes of internal data leaked , and many system harddrives in the company wiped .' [/INST] [Lazarus:B-HackOrg, was:O, previously:O, known:O, to:O, conduct:O, cyberespionage:B-OffAct, and:I-OffAct, cybersabotage:I-OffAct, activities:I-OffAct, ,:O, such:O, as:O, attacks:B-OffAct, on:O, Sony:B-Org, Pictures:I-Org, Entertainment:I-Org, with:O, volumes:O, of:O, internal:O, data:O, leaked:O, ,:O, and:O, many:O, system:O, harddrives:O, in:O, the:O, company:O, wiped:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 that Lazarus Group is very large and works mainly on infiltration and espionage operations , while a substantially smaller units within the group , which we have dubbed Bluenoroff , is responsible for financial profit .' [/INST] [We:O, believe:O, that:O, Lazarus:B-HackOrg, Group:I-HackOrg, is:O, very:O, large:O, and:O, works:O, mainly:O, on:O, infiltration:O, and:O, espionage:B-OffAct, operations:I-OffAct, ,:O, while:O, a:O, substantially:O, smaller:O, units:O, within:O, the:O, group:B-HackOrg, ,:O, which:O, we:O, have:O, dubbed:O, Bluenoroff:B-HackOrg, ,:O, is:O, responsible:O, for:O, financial:O, profit:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Lazarus regrouped and rushed into new countries , selecting mostly poorer and less developed locations , hitting smaller banks because they are , apparently , easy prey .' [/INST] [Lazarus:B-HackOrg, regrouped:O, and:O, rushed:O, into:O, new:O, countries:O, ,:O, selecting:O, mostly:O, poorer:O, and:O, less:O, developed:O, locations:O, ,:O, hitting:O, smaller:O, banks:B-Idus, because:O, they:O, are:O, ,:O, apparently:O, ,:O, easy:O, prey:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To date , the Lazarus group has been one of the most successful in launching large scale operations against the financial industry .' [/INST] [To:O, date:O, ,:O, the:O, Lazarus:B-HackOrg, group:I-HackOrg, has:O, been:O, one:O, of:O, the:O, most:O, successful:O, in:O, launching:O, large:O, scale:O, operations:O, against:O, the:O, financial:B-Idus, industry:I-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 that Lazarus will remain one of the biggest threats to the banking sector , finance , and trading companies , as well as casinos for the next few years .' [/INST] [We:O, believe:O, that:O, Lazarus:B-HackOrg, will:O, remain:O, one:O, of:O, the:O, biggest:O, threats:O, to:O, the:O, banking:B-Org, sector:I-Org, ,:O, finance:B-Idus, ,:O, and:O, trading:B-Org, companies:I-Org, ,:O, as:O, well:O, as:O, casinos:B-Org, for:O, the:O, next:O, few:O, years:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Lazarus started this watering hole attack at the end of 2016 after their other operation was interrupted in South East Asia .' [/INST] [We:O, believe:O, Lazarus:B-HackOrg, started:O, this:O, watering:B-OffAct, hole:I-OffAct, attack:I-OffAct, at:O, the:O, end:B-Time, of:I-Time, 2016:I-Time, after:O, their:O, other:O, operation:O, was:O, interrupted:O, in:O, South:B-Area, East:I-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: 'We believe they started this watering hole campaign at the end of 2016 after their other operation was interrupted in South East Asia .' [/INST] [We:O, believe:O, they:O, started:O, this:O, watering:B-OffAct, hole:I-OffAct, campaign:I-OffAct, at:O, the:O, end:B-Time, of:I-Time, 2016:I-Time, after:O, their:O, other:O, operation:O, was:O, interrupted:O, in:O, South:B-Area, East:I-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: 'A rudimentary but somewhat clever design , KiloAlfa provides keylogging capability for the Lazarus Group 's collection of malicious tools .' [/INST] [A:O, rudimentary:O, but:O, somewhat:O, clever:O, design:O, ,:O, KiloAlfa:B-Tool, provides:O, keylogging:O, capability:O, for:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, 's:O, collection:O, of:O, malicious: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: 'The design of KiloAlfa is broken down into two basic components : the persistence functionality and the keylogging functionality .' [/INST] [The:O, design:O, of:O, KiloAlfa:B-Tool, is:O, broken:O, down:O, into:O, two:O, basic:O, components:O, ::O, the:O, persistence:B-Features, functionality:I-Features, and:O, the:O, keylogging:B-Tool, functionality: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: 'The persistence functionality of KiloAlfa allows the malware to self-install on a victim 's machine when activated ( described below ) .' [/INST] [The:O, persistence:B-Features, functionality:I-Features, of:O, KiloAlfa:B-Tool, allows:O, the:O, malware:O, to:O, self-install:O, on:O, a:O, victim:O, 's:O, machine:O, when:O, activated:O, (:O, described:O, below: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: 'Evidence suggest that the Lazarus Group uses compromised infrastructure as the public-facing touchpoint for the majority of their malware samples .' [/INST] [Evidence:O, suggest:O, that:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, uses:O, compromised:B-Tool, infrastructure:I-Tool, as:O, the:O, public-facing:O, touchpoint:O, for:O, the:O, majority:O, of:O, their:O, malware: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: 'PapaAlfa is believed to be one of the proxy malware components that the Lazarus Group uses to hide the true command and control server ( s ) for operations .' [/INST] [PapaAlfa:B-Tool, is:O, believed:O, to:O, be:O, one:O, of:O, the:O, proxy:O, malware:O, components:O, that:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, uses:O, to:O, hide:O, the:O, true:O, command:O, and:O, control:O, server:O, (:O, s:O, ):O, for: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: 'Rather , PapaAlfa could be considered a smart proxy due in part to the fact that the Lazarus can easily switch the backend destination address and port without having to reestablish control over the infected machine hosting the PapaAlfa malware .' [/INST] [Rather:O, ,:O, PapaAlfa:B-Tool, could:O, be:O, considered:O, a:O, smart:O, proxy:O, due:O, in:O, part:O, to:O, the:O, fact:O, that:O, the:O, Lazarus:B-HackOrg, can:O, easily:O, switch:O, the:O, backend:O, destination:O, address:O, and:O, port:O, without:O, having:O, to:O, reestablish:O, control:O, over:O, the:O, infected:O, machine:O, hosting:O, the:O, PapaAlfa:B-Tool, malware:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In terms of form factor , PapaAlfa comes in two flavors : service DLL and standalone executable .' [/INST] [In:O, terms:O, of:O, form:O, factor:O, ,:O, PapaAlfa:B-Tool, comes:O, in:O, two:O, flavors:O, ::O, service:B-Tool, DLL:I-Tool, and:O, standalone:B-Tool, executable: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: 'The IndiaBravo-PapaAlfa installer is responsible for installing the service DLL variant .' [/INST] [The:O, IndiaBravo-PapaAlfa:B-Tool, installer:I-Tool, is:O, responsible:O, for:O, installing:B-Features, the:I-Features, service:I-Features, DLL:I-Features, variant:I-Features, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While the tools profiled in this report are not inherently malicious , their capabilities are nonetheless integral to the Lazarus Group 's cyber operations , both espionage and destructive in nature , making them inherently dangerous to potential victims .' [/INST] [While:O, the:O, tools:O, profiled:O, in:O, this:O, report:O, are:O, not:O, inherently:O, malicious:O, ,:O, their:O, capabilities:O, are:O, nonetheless:O, integral:O, to:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, 's:O, cyber:O, operations:O, ,:O, both:O, espionage:B-HackOrg, and:O, destructive:O, in:O, nature:O, ,:O, making:O, them:O, inherently:O, dangerous:O, to:O, potential: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: 'These tools often lay the groundwork for further malicious activity , such as the targeting of antivirus capabilities and the disabling of firewalls , both of which are very fundamental defensive measures .' [/INST] [These:O, tools:O, often:O, lay:O, the:O, groundwork:O, for:O, further:O, malicious:B-OffAct, activity:I-OffAct, ,:O, such:O, as:O, the:O, targeting:B-Features, of:I-Features, antivirus:I-Features, capabilities:I-Features, and:O, the:O, disabling:B-Features, of:I-Features, firewalls:I-Features, ,:O, both:O, of:O, which:O, are:O, very:O, fundamental:O, defensive:O, measures:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Furthermore , like many other identified Lazarus Group families , these tools showcase the group 's creative solutions , such as the PapaAlfa , which makes it difficult to immediately identify potentially malicious activity on a compromised network .' [/INST] [Furthermore:O, ,:O, like:O, many:O, other:O, identified:O, Lazarus:B-HackOrg, Group:I-HackOrg, families:O, ,:O, these:O, tools:O, showcase:O, the:O, group:B-HackOrg, 's:O, creative:O, solutions:O, ,:O, such:O, as:O, the:O, PapaAlfa:B-Tool, ,:O, which:O, makes:O, it:O, difficult:O, to:O, immediately:O, identify:O, potentially:O, malicious:B-OffAct, activity:I-OffAct, on:O, a:O, compromised:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The first class , colloquially known as , wipers , , are a class of malware has the primary intent of destroying data on a victim 's machine .' [/INST] [The:O, first:O, class:O, ,:O, colloquially:O, known:O, as:O, ,:O, wipers:B-Tool, ,:O, ,:O, are:O, a:O, class:O, of:O, malware:O, has:O, the:O, primary:O, intent:O, of:O, destroying:B-Features, data:I-Features, on:O, a:O, victim:O, 's: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: 'DDoS malware floods a target 's network-connected service with an excessive number of request at once in order to overload the capacity of the server .' [/INST] [DDoS:B-Tool, malware:I-Tool, floods:O, a:O, target:O, 's:O, network-connected:O, service:O, with:O, an:O, excessive:O, number:O, of:O, request:O, at:O, once:O, in:O, order:O, to:O, overload:B-Features, the:I-Features, capacity:I-Features, of: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: 'For example , DeltaAlfa specifies a DDoS bot family identified as Alfa .' [/INST] [For:O, example:O, ,:O, DeltaAlfa:B-SamFile, specifies:O, a:O, DDoS:B-Tool, bot:I-Tool, family:O, identified:O, as:O, Alfa:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 naming scheme used by Novetta for the malware identified during Operation Blockbuster consists of at least two identifiers which each identifier coming from the International Civil Aviation Organization ( ICAO ) 's phonetic alphabet ,2 commonly referred to as the NATO phonetic alphabet .' [/INST] [The:O, naming:B-Features, scheme:O, used:O, by:O, Novetta:B-SecTeam, for:O, the:O, malware:O, identified:O, during:O, Operation:B-OffAct, Blockbuster:I-OffAct, consists:O, of:O, at:O, least:O, two:O, identifiers:O, which:O, each:O, identifier:O, coming:O, from:O, the:O, International:B-Org, Civil:I-Org, Aviation:I-Org, Organization:I-Org, (:O, ICAO:O, ):O, 's:O, phonetic:O, alphabet:O, ,2:O, commonly:O, referred:O, to:O, as:O, the:O, NATO:O, phonetic:O, alphabet:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Loaders are typically responsible for loading a DLL component into memory given that a DLL cannot operate in a standalone mode such as an executable .' [/INST] [Loaders:O, are:O, typically:O, responsible:O, for:O, loading:B-Features, a:I-Features, DLL:I-Features, component:I-Features, into:I-Features, memory:I-Features, given:O, that:O, a:O, DLL:O, cannot:O, operate:O, in:O, a:O, standalone:O, mode:O, such:O, as:O, an: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: 'This report will explore the various installers , uninstallers and loaders Novetta has observed the Lazarus Group using .' [/INST] [This:O, report:O, will:O, explore:O, the:O, various:O, installers:B-Tool, ,:O, uninstallers:B-Tool, and:O, loaders:O, Novetta:B-SecTeam, has:O, observed:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, using:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 reverse engineering report looks at the RATs and staging malware found within the Lazarus Group 's collection .' [/INST] [This:O, reverse:O, engineering:O, report:O, looks:O, at:O, the:O, RATs:B-Tool, and:O, staging:B-Tool, malware:I-Tool, found:O, within:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, 's:O, collection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Regardless of their sophistication or refinement , the malware families within the Lazarus Group 's India and Lima classes perform at a reasonable level for their designed purpose : the introduction and persistence of malware from the Lazarus Group on a victim 's infrastructure .' [/INST] [Regardless:O, of:O, their:O, sophistication:O, or:O, refinement:O, ,:O, the:O, malware:O, families:O, within:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, 's:O, India:B-Area, and:O, Lima:B-Area, classes:O, perform:O, at:O, a:O, reasonable:O, level:O, for:O, their:O, designed:O, purpose:O, ::O, the:O, introduction:O, and:O, persistence:O, of:O, malware:O, from:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, on:O, a:O, victim:O, 's:O, infrastructure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 capabilities for the installers , loaders , and uninstallers in this report are relatively straight forward and single-focused , analysis of these malware families provide further insight into the capabilities of the Lazarus Group .' [/INST] [While:O, the:O, capabilities:O, for:O, the:O, installers:B-Tool, ,:O, loaders:B-Tool, ,:O, and:O, uninstallers:B-Tool, in:O, this:O, report:O, are:O, relatively:O, straight:O, forward:O, and:O, single-focused:O, ,:O, analysis:O, of:O, these:O, malware:O, families:O, provide:O, further:O, insight:O, into:O, the:O, capabilities:O, of:O, the:O, Lazarus:B-HackOrg, Group:I-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: 'The Lazarus Group employs a variety of RATs that operate in both client mode and server mode .' [/INST] [The:O, Lazarus:B-HackOrg, Group:I-HackOrg, employs:O, a:O, variety:O, of:O, RATs:B-Tool, that:O, operate:O, in:O, both:O, client:O, mode:O, and:O, server:O, mode:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The most common communication mode for a RAT is to act as a client to a remote server .' [/INST] [The:O, most:O, common:O, communication:O, mode:O, for:O, a:O, RAT:B-Tool, is:O, to:O, act:O, as:O, a:O, client:B-Way, to:O, a:O, remote:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Lazarus Group employs a variety of RATs and staging malware to conduct cyber operations , many of which contain significant code overlap that points to at least a shared development environment .' [/INST] [The:O, Lazarus:B-HackOrg, Group:I-HackOrg, employs:O, a:O, variety:O, of:O, RATs:B-Tool, and:O, staging:B-Tool, malware:I-Tool, to:O, conduct:O, cyber:O, operations:O, ,:O, many:O, of:O, which:O, contain:O, significant:O, code:O, overlap:O, that:O, points:O, to:O, at:O, least:O, a:O, shared:O, development: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: 'While some members within the Romeo and Sierra groups may not implement sound authentication strategies , shift their design focus in abrupt and unusual manners , and fail to understand the pitfalls of distributed command networks , on the whole the families within the Lazarus Group 's collection of RATs and staging malware perform their tasks with surprising effectiveness .' [/INST] [While:O, some:O, members:O, within:O, the:O, Romeo:B-HackOrg, and:O, Sierra:B-HackOrg, groups:I-HackOrg, may:O, not:O, implement:O, sound:O, authentication:O, strategies:O, ,:O, shift:O, their:O, design:O, focus:O, in:O, abrupt:O, and:O, unusual:O, manners:O, ,:O, and:O, fail:O, to:O, understand:O, the:O, pitfalls:O, of:O, distributed:O, command:O, networks:O, ,:O, on:O, the:O, whole:O, the:O, families:O, within:O, the:O, Lazarus:B-HackOrg, Group:I-HackOrg, 's:O, collection:O, of:O, RATs:B-Tool, and:O, staging:B-Tool, malware:I-Tool, perform:O, their:O, tasks:O, with:O, surprising:O, effectiveness:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 new campaign , dubbed HaoBao , resumes Lazarus ' previous phishing emails , posed as employee recruitment , but now targets Bitcoin users and global financial organizations .' [/INST] [This:O, new:O, campaign:B-OffAct, ,:O, dubbed:O, HaoBao:B-OffAct, ,:O, resumes:O, Lazarus:B-HackOrg, ':O, previous:O, phishing:B-Way, emails:I-Way, ,:O, posed:O, as:O, employee:O, recruitment:O, ,:O, but:O, now:O, targets:O, Bitcoin:B-Org, users:I-Org, and:O, global:O, financial:B-Org, organizations:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This new campaign , dubbed HaoBao , resumes Lazarus ' previous phishing emails , posed as employee recruitment , but now targets financial organizations .' [/INST] [This:O, new:O, campaign:B-OffAct, ,:O, dubbed:O, HaoBao:B-OffAct, ,:O, resumes:O, Lazarus:B-HackOrg, ':O, previous:O, phishing:B-Way, emails:I-Way, ,:O, posed:O, as:O, employee:O, recruitment:O, ,:O, but:O, now:O, targets:O, financial:B-Org, organizations: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: 'McAfee Advanced Threat Research analysts have discovered an aggressive Bitcoin-stealing phishing campaign by the international cybercrime group Lazarus that uses sophisticated malware with long-term impact .' [/INST] [McAfee:B-SecTeam, Advanced:I-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, analysts:O, have:O, discovered:O, an:O, aggressive:O, Bitcoin-stealing:B-OffAct, phishing:I-OffAct, campaign:I-OffAct, by:O, the:O, international:O, cybercrime:B-HackOrg, group:I-HackOrg, Lazarus:B-HackOrg, that:O, uses:O, sophisticated:B-Tool, malware:I-Tool, with:O, long-term:O, impact:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'McAfee Advanced Threat Research ( ATR ) analysts have discovered an aggressive Bitcoin-stealing phishing campaign by the international cybercrime group Lazarus that uses sophisticated malware with long-term impact .' [/INST] [McAfee:B-SecTeam, Advanced:I-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, (:O, ATR:B-SecTeam, ):O, analysts:O, have:O, discovered:O, an:O, aggressive:O, Bitcoin-stealing:B-OffAct, phishing:I-OffAct, campaign:I-OffAct, by:O, the:O, international:O, cybercrime:B-HackOrg, group:I-HackOrg, Lazarus:B-HackOrg, that:O, uses:O, sophisticated:B-Tool, malware:I-Tool, with:O, long-term:O, impact:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2017 , the Lazarus group heavily targeted individuals with spear phishing emails impersonating job recruiters which contained malicious documents .' [/INST] [Beginning:O, in:O, 2017:B-Time, ,:O, the:O, Lazarus:B-HackOrg, group:I-HackOrg, heavily:O, targeted:O, individuals:O, with:O, spear:B-Way, phishing:I-Way, emails:I-Way, impersonating:O, job:B-Org, recruiters:I-Org, which:O, contained:O, malicious:O, documents:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The use of decoy documents also reveals some of the potential targets of the Lazarus group 's malicious activity , specifically the use spear phishing attacks observed targeting South Korean government and aerospace organizations .' [/INST] [The:O, use:O, of:O, decoy:B-Tool, documents:I-Tool, also:O, reveals:O, some:O, of:O, the:O, potential:O, targets:O, of:O, the:O, Lazarus:B-HackOrg, group:I-HackOrg, 's:O, malicious:B-OffAct, activity:I-OffAct, ,:O, specifically:O, the:O, use:O, spear:B-OffAct, phishing:I-OffAct, attacks:I-OffAct, observed:O, targeting:O, South:B-Area, Korean:I-Area, government:B-Idus, and:O, aerospace:B-Org, organizations:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The campaign lasted from April to October and used job descriptions relevant to target organizations , in both English and Korean language .' [/INST] [The:O, campaign:B-OffAct, lasted:O, from:O, April:B-Time, to:O, October:B-Time, and:O, used:O, job:O, descriptions:O, relevant:O, to:O, target:O, organizations:O, ,:O, in:O, both:O, English:O, and:O, Korean:O, language:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Lazarus Group 's objective was to gain access to the target 's environment and obtain key military program insight or steal money .' [/INST] [The:O, Lazarus:B-HackOrg, Group:I-HackOrg, 's:O, objective:O, was:O, to:O, gain:B-Purp, access:I-Purp, to:O, the:O, target:O, 's:O, environment:O, and:O, obtain:B-Purp, key:I-Purp, military:I-Purp, program:I-Purp, insight:I-Purp, or:O, steal:B-Purp, money: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 latest discovery by McAfee , despite a short pause in similar operations , the Lazarus group targets financial organizations .' [/INST] [In:O, this:O, latest:O, discovery:O, by:O, McAfee:B-SecTeam, ,:O, despite:O, a:O, short:O, pause:O, in:O, similar:O, operations:O, ,:O, the:O, Lazarus:B-HackOrg, group:I-HackOrg, targets:O, financial:B-Org, organizations:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This campaign is tailored to identifying those who are running Bitcoin related software through specific system scans .' [/INST] [This:O, campaign:B-OffAct, is:O, tailored:O, to:O, identifying:B-Features, those:O, who:O, are:O, running:O, Bitcoin:O, related:O, software:O, through:O, specific:O, system:O, scans:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This Malware Analysis Report ( MAR ) is the result of analytic efforts between the Department of Homeland Security ( DHS ) and the Federal Bureau of Investigation ( FBI ) .' [/INST] [This:O, Malware:O, Analysis:O, Report:O, (:O, MAR:O, ):O, is:O, the:O, result:O, of:O, analytic:O, efforts:O, between:O, the:O, Department:B-SecTeam, of:I-SecTeam, Homeland:I-SecTeam, Security:I-SecTeam, (:O, DHS:B-SecTeam, ):O, and:O, the:O, Federal:O, Bureau:O, of:O, Investigation:O, (:O, FBI:B-SecTeam, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 victims open malicious documents attached to the emails , the malware scans for Bitcoin activity and then establishes an implant for long-term data-gathering .' [/INST] [When:O, victims:O, open:O, malicious:O, documents:O, attached:O, to:O, the:O, emails:B-Way, ,:O, the:O, malware:O, scans:O, for:O, Bitcoin:B-OffAct, activity:I-OffAct, and:O, then:O, establishes:O, an:O, implant:O, for:O, long-term:O, data-gathering:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 trusted third-party reporting , HIDDEN COBRA actors have likely been using FALLCHILL malware since 2016 to target the aerospace , telecommunications , and finance industries .' [/INST] [According:O, to:O, trusted:O, third-party:O, reporting:O, ,:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, actors:I-HackOrg, have:O, likely:O, been:O, using:O, FALLCHILL:B-Tool, malware:I-Tool, since:O, 2016:B-Time, to:O, target:O, the:O, aerospace:B-Idus, ,:O, telecommunications:B-Idus, ,:O, and:O, finance:B-Idus, industries:I-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware is a fully functional RAT with multiple commands that the actors can issue from a command and control ( C2 ) server to a victim 's system via dual proxies .' [/INST] [The:O, malware:O, is:O, a:O, fully:O, functional:O, RAT:B-Tool, with:O, multiple:O, commands:O, that:O, the:O, actors:B-HackOrg, can:O, issue:O, from:O, a:O, command:O, and:O, control:O, (:O, C2:O, ):O, server:O, to:O, a:O, victim:O, 's:O, system:O, via:O, dual:O, proxies:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FALLCHILL typically infects a system as a file dropped by other HIDDEN COBRA malware or as a file downloaded unknowingly by users when visiting sites compromised by HIDDEN COBRA actors .' [/INST] [FALLCHILL:B-Tool, typically:O, infects:B-Features, a:I-Features, system:I-Features, as:O, a:O, file:O, dropped:O, by:O, other:O, HIDDEN:B-Tool, COBRA:I-Tool, malware:I-Tool, or:O, as:O, a:O, file:O, downloaded:O, unknowingly:O, by:O, users:O, when:O, visiting:O, sites:O, compromised:O, by:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, actors:I-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: 'HIDDEN COBRA actors use an external tool or dropper to install the FALLCHILL malware to establish persistence .' [/INST] [HIDDEN:B-HackOrg, COBRA:I-HackOrg, actors:I-HackOrg, use:O, an:O, external:B-Tool, tool:I-Tool, or:O, dropper:B-Tool, to:O, install:O, the:O, FALLCHILL:B-Tool, malware:I-Tool, to:O, establish:O, persistence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'HIDDEN COBRA actors install the FALLCHILL malware to establish persistence .' [/INST] [HIDDEN:B-HackOrg, COBRA:I-HackOrg, actors:I-HackOrg, install:O, the:O, FALLCHILL:B-Tool, malware:I-Tool, to:O, establish:O, persistence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Working with U.S. government partners , DHS and FBI identified Internet Protocol ( IP ) addresses and other indicators of compromise ( IOCs ) associated with a remote administration tool ( RAT ) used by the North Korean government—commonly known as FALLCHILL .' [/INST] [Working:O, with:O, U.S.:B-Area, government:B-Idus, partners:O, ,:O, DHS:B-SecTeam, and:O, FBI:B-SecTeam, identified:O, Internet:O, Protocol:O, (:O, IP:O, ):O, addresses:O, and:O, other:O, indicators:O, of:O, compromise:O, (:O, IOCs:O, ):O, associated:O, with:O, a:O, remote:B-Tool, administration:I-Tool, tool:I-Tool, (:O, RAT:B-Tool, ):O, used:O, by:O, the:O, North:B-Area, Korean:I-Area, government—commonly:O, known:O, as:O, FALLCHILL: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: 'This alert 's IOC files provide HIDDEN COBRA indicators related to FALLCHILL .' [/INST] [This:O, alert:O, 's:O, IOC:B-SamFile, files:I-SamFile, provide:O, HIDDEN:B-HackOrg, COBRA:I-HackOrg, indicators:O, related:O, to:O, FALLCHILL: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: 'McAfee Advanced Threat Research analysts have uncovered a global data reconnaissance campaign assaulting a wide number of industries including critical infrastructure , entertainment , finance , health care , and telecommunications .' [/INST] [McAfee:B-SecTeam, Advanced:I-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, analysts:O, have:O, uncovered:O, a:O, global:O, data:O, reconnaissance:O, campaign:B-OffAct, assaulting:O, a:O, wide:O, number:O, of:O, industries:O, including:O, critical:B-Idus, infrastructure:I-Idus, ,:O, entertainment:B-Idus, ,:O, finance:B-Idus, ,:O, health:B-Idus, care:I-Idus, ,:O, and:O, telecommunications:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Because of this , additional HIDDEN COBRA malware may be present on systems compromised with FALLCHILL .' [/INST] [Because:O, of:O, this:O, ,:O, additional:O, HIDDEN:B-Tool, COBRA:I-Tool, malware:I-Tool, may:O, be:O, present:O, on:O, systems:O, compromised:O, with:O, FALLCHILL: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: 'This campaign , dubbed Operation GhostSecret , leverages multiple implants , tools , and malware variants associated with the state-sponsored cyber group HIDDEN COBRA .' [/INST] [This:O, campaign:B-OffAct, ,:O, dubbed:O, Operation:B-OffAct, GhostSecret:I-OffAct, ,:O, leverages:O, multiple:O, implants:O, ,:O, tools:O, ,:O, and:O, malware:O, variants:O, associated:O, with:O, the:O, state-sponsored:O, cyber:B-HackOrg, group:I-HackOrg, HIDDEN:B-HackOrg, COBRA:I-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: 'From March 18 to 26 we observed the malware operating in multiple areas of the world .' [/INST] [From:O, March:B-Time, 18:I-Time, to:O, 26:B-Time, we:O, observed:O, the:O, malware:O, operating:O, in:O, multiple:O, areas:O, of:O, the:O, world:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Furthermore , the Advanced Threat Research team has discovered Proxysvc , which appears to be an undocumented implant .' [/INST] [Furthermore:O, ,:O, the:O, Advanced:B-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, team:O, has:O, discovered:O, Proxysvc:B-Tool, ,:O, which:O, appears:O, to:O, be:O, an:O, undocumented:O, implant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our investigation into this campaign reveals that the actor used multiple malware implants , including an unknown implant with capabilities similar to Bankshot .' [/INST] [Our:O, investigation:O, into:O, this:O, campaign:B-OffAct, reveals:O, that:O, the:O, actor:B-HackOrg, used:O, multiple:O, malware:O, implants:O, ,:O, including:O, an:O, unknown:O, implant:O, with:O, capabilities:O, similar:O, to:O, Bankshot: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: 'The attackers behind Operation GhostSecret used a similar infrastructure to earlier threats , including SSL certificates used by FakeTLS in implants found in the Destover backdoor variant known as Escad , which was used in the Sony Pictures attack .' [/INST] [The:O, attackers:B-HackOrg, behind:O, Operation:B-OffAct, GhostSecret:I-OffAct, used:O, a:O, similar:O, infrastructure:O, to:O, earlier:O, threats:O, ,:O, including:O, SSL:B-Tool, certificates:I-Tool, used:O, by:O, FakeTLS:B-Tool, in:O, implants:O, found:O, in:O, the:O, Destover:B-Tool, backdoor:I-Tool, variant:O, known:O, as:O, Escad:B-Tool, ,:O, which:O, was:O, used:O, in:O, the:O, Sony:B-OffAct, Pictures:I-OffAct, attack:B-OffAct, .:O] </s> |