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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: 'The beginning of 2017 also brought a turning point in INDRIK SPIDER 's operation of Dridex .' [/INST] [The:O, beginning:O, of:O, 2017:B-Time, also:O, brought:O, a:O, turning:O, point:O, in:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, 's:O, operation:O, of:O, Dridex: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: 'CrowdStrike® Falcon® Intelligence™ also observed a strong correlation between Dridex infections and BitPaymer ransomware .' [/INST] [CrowdStrike®:B-SecTeam, Falcon®:I-SecTeam, Intelligence™:I-SecTeam, also:O, observed:O, a:O, strong:O, correlation:O, between:O, Dridex:B-Tool, infections:O, and:O, BitPaymer:B-Tool, ransomware: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: 'During incidents that involved BitPaymer , Dridex was installed on the victim network prior to the deployment of the BitPaymer malware .' [/INST] [During:O, incidents:O, that:O, involved:O, BitPaymer:B-Tool, ,:O, Dridex:B-Tool, was:O, installed:O, on:O, the:O, victim:O, network:O, prior:O, to:O, the:O, deployment:O, of:O, the:O, BitPaymer: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: 'Also unusual was the observation that both Dridex and BitPaymer were spread through the victim network using lateral movement techniques traditionally associated with nation-state actors and penetration testing .' [/INST] [Also:O, unusual:O, was:O, the:O, observation:O, that:O, both:O, Dridex:B-Tool, and:O, BitPaymer:B-Tool, were:O, spread:O, through:O, the:O, victim:O, network:O, using:O, lateral:O, movement:O, techniques:O, traditionally:O, associated:O, with:O, nation-state:O, actors:O, and:O, penetration:O, testing:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 information gathered from these engagements , combined with information from prior Dridex IR engagements , provides insight into how INDRIK SPIDER deploys and operates both Dridex and BitPaymer .' [/INST] [The:O, information:O, gathered:O, from:O, these:O, engagements:O, ,:O, combined:O, with:O, information:O, from:O, prior:O, Dridex:B-Tool, IR:I-Tool, engagements:O, ,:O, provides:O, insight:O, into:O, how:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, deploys:O, and:O, operates:O, both:O, Dridex:B-Tool, and:O, BitPaymer: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: 'In recent BitPaymer IR engagements , Falcon Intelligence linked the initial infection vector to fake updates for a FlashPlayer plugin and the Chrome web browser .' [/INST] [In:O, recent:O, BitPaymer:B-Tool, IR:I-Tool, engagements:I-Tool, ,:O, Falcon:B-SecTeam, Intelligence:I-SecTeam, linked:O, the:O, initial:O, infection:O, vector:O, to:O, fake:O, updates:O, for:O, a:O, FlashPlayer:B-Tool, plugin:I-Tool, and:O, the:O, Chrome:B-Tool, web:I-Tool, browser: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: 'With the move to targeting select victims for high-value payouts , the INDRIK SPIDER adversary group is no longer forced to scale its operations , and now has the capacity to tailor its tooling to the victim 's environment and play a more active role in the compromise with , hands on keyboard , activity .' [/INST] [With:O, the:O, move:O, to:O, targeting:O, select:O, victims:O, for:O, high-value:O, payouts:O, ,:O, the:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, adversary:O, group:O, is:O, no:O, longer:O, forced:O, to:O, scale:O, its:O, operations:O, ,:O, and:O, now:O, has:O, the:O, capacity:O, to:O, tailor:O, its:O, tooling:O, to:O, the:O, victim:O, 's:O, environment:O, and:O, play:O, a:O, more:O, active:O, role:O, in:O, the:O, compromise:O, with:O, ,:O, hands:O, on:O, keyboard:O, ,:O, activity:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This web hosting service provider continues to be the hosting provider of choice for the threat actors behind NetTraveler .' [/INST] [This:O, web:B-Org, hosting:I-Org, service:I-Org, provider:I-Org, continues:O, to:O, be:O, the:O, hosting:B-Org, provider:I-Org, of:O, choice:O, for:O, the:O, threat:O, actors:O, behind:O, NetTraveler: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: 'These new tactics of selectively targeting organizations for high ransomware payouts have signaled a shift in INDRIK SPIDER 's operation with a new focus on targeted , low-volume , high-return criminal activity : a type of cybercrime operation we refer to as big game hunting .' [/INST] [These:O, new:O, tactics:O, of:O, selectively:O, targeting:O, organizations:O, for:O, high:O, ransomware:O, payouts:O, have:O, signaled:O, a:O, shift:O, in:O, INDRIK:O, SPIDER:O, 's:O, operation:O, with:O, a:O, new:O, focus:O, on:O, targeted:O, ,:O, low-volume:O, ,:O, high-return:O, criminal:B-OffAct, activity:I-OffAct, ::O, a:O, type:O, of:O, cybercrime:O, operation:O, we:O, refer:O, to:O, as:O, big:B-OffAct, game:I-OffAct, hunting:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Later , in January 2018 , a report was released that identified similarities between the BitPaymer ransomware and Dridex malware .' [/INST] [Later:O, ,:O, in:O, January:B-Time, 2018:I-Time, ,:O, a:O, report:O, was:O, released:O, that:O, identified:O, similarities:O, between:O, the:O, BitPaymer:B-Tool, ransomware:I-Tool, and:O, Dridex: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: 'The report authors renamed the malware , FriedEx , .' [/INST] [The:O, report:O, authors:O, renamed:O, the:O, malware:O, ,:O, FriedEx:B-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: 'Falcon Intelligence has analyzed this malware and can confirm the overlap between BitPaymer/FriedEx and Dridex malware .' [/INST] [Falcon:B-SecTeam, Intelligence:I-SecTeam, has:O, analyzed:O, this:O, malware:O, and:O, can:O, confirm:O, the:O, overlap:O, between:O, BitPaymer/FriedEx:B-Tool, and:O, Dridex: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: 'Though there is no functionality to collect this information in the ransomware itself , the ransomware is deployed by INDRIK SPIDER in parallel with Dridex malware , and the Dridex malware contains modules that may be used to collect information from infected hosts .' [/INST] [Though:O, there:O, is:O, no:O, functionality:O, to:O, collect:O, this:O, information:O, in:O, the:O, ransomware:O, itself:O, ,:O, the:O, ransomware:O, is:O, deployed:O, by:O, INDRIK:O, SPIDER:O, in:O, parallel:O, with:O, Dridex:B-Tool, malware:I-Tool, ,:O, and:O, the:O, Dridex:B-Tool, malware:I-Tool, contains:O, modules:O, that:O, may:O, be:O, used:O, to:O, collect:O, information:O, from:O, infected:O, hosts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Falcon Intelligence has acquired multiple decryption tools related to BitPaymer , which confirm the theory that a unique key is used for each infection .' [/INST] [Falcon:B-SecTeam, Intelligence:I-SecTeam, has:O, acquired:O, multiple:O, decryption:O, tools:O, related:O, to:O, BitPaymer:B-Tool, ,:O, which:O, confirm:O, the:O, theory:O, that:O, a:O, unique:O, key:O, is:O, used:O, for:O, each:O, infection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Unlike many ransomware operations , which usually just require victims to make the payment and subsequently download a decryptor , INDRIK SPIDER requires the victim to engage in communication with an operator .' [/INST] [Unlike:O, many:O, ransomware:O, operations:O, ,:O, which:O, usually:O, just:O, require:O, victims:O, to:O, make:O, the:O, payment:O, and:O, subsequently:O, download:O, a:O, decryptor:O, ,:O, INDRIK:O, SPIDER:O, requires:O, the:O, victim:O, to:O, engage:O, in:O, communication:B-Way, with:O, an:O, operator:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Falcon Intelligence has had unique insight into the email dialogue between a victim and an INDRIK SPIDER operator .' [/INST] [Falcon:B-SecTeam, Intelligence:I-SecTeam, has:O, had:O, unique:O, insight:O, into:O, the:O, email:B-Way, dialogue:O, between:O, a:O, victim:O, and:O, an:O, INDRIK:O, SPIDER:O, operator:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Initial victim communication with the INDRIK SPIDER operator , using one of the email addresses provided , results in the operator providing key pieces of information up front , such as the BTC address and the ransom amount .' [/INST] [Initial:O, victim:B-Way, communication:I-Way, with:O, the:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, operator:O, ,:O, using:O, one:O, of:O, the:O, email:O, addresses:O, provided:O, ,:O, results:O, in:O, the:O, operator:O, providing:O, key:O, pieces:O, of:O, information:O, up:O, front:O, ,:O, such:O, as:O, the:O, BTC:O, address:O, and:O, the:O, ransom:O, amount:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 was made clear during communications that INDRIK SPIDER is not willing to negotiate on the ransom amount , explicitly stating that the victim can use multiple Bitcoin exchanges to obtain the number of BTC required , and the exchange rate should be calculated based on the rate posted on the cryptocurrency exchange Bittrex .' [/INST] [It:O, was:O, made:O, clear:O, during:O, communications:B-Idus, that:O, INDRIK:O, SPIDER:O, is:O, not:O, willing:O, to:O, negotiate:O, on:O, the:O, ransom:O, amount:O, ,:O, explicitly:O, stating:O, that:O, the:O, victim:O, can:O, use:O, multiple:O, Bitcoin:O, exchanges:O, to:O, obtain:O, the:O, number:O, of:O, BTC:O, required:O, ,:O, and:O, the:O, exchange:O, rate:O, should:O, be:O, calculated:O, based:O, on:O, the:O, rate:O, posted:O, on:O, the:O, cryptocurrency:B-Idus, exchange:O, Bittrex:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Of note , INDRIK SPIDER specifies the geographical location of where the victim should seek help , confirming that they know key information about the victim .' [/INST] [Of:O, note:O, ,:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, specifies:O, the:O, geographical:B-Way, location:I-Way, of:O, where:O, the:O, victim:O, should:O, seek:O, help:O, ,:O, confirming:O, that:O, they:O, know:O, key:O, information:O, about:O, the:O, victim:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'INDRIK SPIDER uses file sharing platforms to distribute the BitPaymer decryptor .' [/INST] [INDRIK:B-HackOrg, SPIDER:I-HackOrg, uses:O, file:B-Tool, sharing:I-Tool, platforms:I-Tool, to:O, distribute:O, the:O, BitPaymer:B-Tool, decryptor: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 an extensive email to the victim , the INDRIK SPIDER operator provides a decryptor download link , decryptor deletion link ( to be used following decryptor download ) and a password .' [/INST] [In:O, an:O, extensive:O, email:B-Way, to:O, the:O, victim:O, ,:O, the:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, operator:O, provides:O, a:O, decryptor:O, download:O, link:O, ,:O, decryptor:O, deletion:O, link:O, (:O, to:O, be:O, used:O, following:O, decryptor:O, download:O, ):O, and:O, a:O, password:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 recommendations provided are not only good advice , but also provide indications of how INDRIK SPIDER breaches organizations and moves laterally until domain controller access is gained .' [/INST] [The:O, recommendations:O, provided:O, are:O, not:O, only:O, good:O, advice:O, ,:O, but:O, also:O, provide:O, indications:O, of:O, how:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, breaches:O, organizations:O, and:O, moves:O, laterally:O, until:O, domain:O, controller:O, access:O, is:O, gained:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ransom demands have varied significantly , suggesting that INDRIK SPIDER likely calculates the ransom amount based on the size and value of the victim organization .' [/INST] [Ransom:B-Purp, demands:O, have:O, varied:O, significantly:O, ,:O, suggesting:O, that:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, likely:O, calculates:O, the:O, ransom:O, amount:O, based:O, on:O, the:O, size:O, and:O, value:O, of:O, the:O, victim:O, organization:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'INDRIK SPIDER consists of experienced malware developers and operators who have likely been part of the group since the early days of Dridex operations , beginning in June 2014 .' [/INST] [INDRIK:B-HackOrg, SPIDER:I-HackOrg, consists:O, of:O, experienced:O, malware:O, developers:O, and:O, operators:O, who:O, have:O, likely:O, been:O, part:O, of:O, the:O, group:O, since:O, the:O, early:O, days:O, of:O, Dridex:B-Tool, operations:O, ,:O, beginning:O, in:O, June:B-Time, 2014:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The formation of the group and the modus operandi changed significantly in early 2017 .' [/INST] [The:O, formation:O, of:O, the:O, group:O, and:O, the:O, modus:O, operandi:O, changed:O, significantly:O, in:O, early: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: 'Dridex operations became more targeted , resulting in less distribution and Dridex sub-botnets in operation , and BitPaymer ransomware operations began in July 2017 .' [/INST] [Dridex:B-Tool, operations:O, became:O, more:O, targeted:O, ,:O, resulting:O, in:O, less:O, distribution:O, and:O, Dridex:B-Tool, sub-botnets:O, in:O, operation:O, ,:O, and:O, BitPaymer:B-Tool, ransomware:I-Tool, operations:O, began:O, in:O, July:B-Time, 2017:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'There is no doubt that BitPaymer ransomware operations are proving successful for Indrik Spider , with an average estimate take of over $200,000 USD per victim , but it is also important to remember that INDRIK SPIDER continues to operate the Dridex banking trojan .' [/INST] [There:O, is:O, no:O, doubt:O, that:O, BitPaymer:B-Tool, ransomware:B-Tool, operations:O, are:O, proving:O, successful:O, for:O, Indrik:O, Spider:O, ,:O, with:O, an:O, average:O, estimate:O, take:O, of:O, over:O, $200,000:O, USD:O, per:O, victim:O, ,:O, but:O, it:O, is:O, also:O, important:O, to:O, remember:O, that:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, continues:O, to:O, operate:O, the:O, Dridex:B-Tool, banking:I-Tool, trojan:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'There is no doubt that BitPaymer ransomware operations are proving successful for this criminal group , with an average estimate take of over $200,000 USD per victim , but it is also important to remember that INDRIK SPIDER continues to operate the Dridex banking trojan .' [/INST] [There:O, is:O, no:O, doubt:O, that:O, BitPaymer:B-Tool, ransomware:B-Tool, operations:O, are:O, proving:O, successful:O, for:O, this:O, criminal:O, group:O, ,:O, with:O, an:O, average:O, estimate:O, take:O, of:O, over:O, $200,000:O, USD:O, per:O, victim:O, ,:O, but:O, it:O, is:O, also:O, important:O, to:O, remember:O, that:O, INDRIK:O, SPIDER:O, continues:O, to:O, operate:O, the:O, Dridex:B-Tool, banking:I-Tool, trojan:I-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Though Dridex is still bringing in criminal revenue for the actor after almost four years of operation , targeted wire fraud operations likely require lengthy planning .' [/INST] [Though:O, Dridex:B-Tool, is:O, still:O, bringing:O, in:O, criminal:O, revenue:O, for:O, the:O, actor:O, after:O, almost:O, four:O, years:O, of:O, operation:O, ,:O, targeted:O, wire:O, fraud:O, operations:O, likely:O, require:O, lengthy:O, planning:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 scenarios where wire fraud is not as lucrative an option , INDRIK SPIDER might use ransomware to monetize the compromise instead .' [/INST] [In:O, scenarios:O, where:O, wire:O, fraud:O, is:O, not:O, as:O, lucrative:O, an:O, option:O, ,:O, INDRIK:O, SPIDER:O, might:O, use:O, ransomware:O, to:O, monetize:O, the:O, compromise:O, instead:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'INDRIK SPIDER isn't the only criminal actor running big game hunting operations ; The first ransomware to stake a claim for big game hunting was Samas ( aka SamSam ) , which is developed and operated by BOSS SPIDER .' [/INST] [INDRIK:O, SPIDER:O, isn't:O, the:O, only:O, criminal:O, actor:O, running:O, big:B-OffAct, game:I-OffAct, hunting:I-OffAct, operations:I-OffAct, ;:O, The:O, first:O, ransomware:B-Tool, to:O, stake:O, a:O, claim:O, for:O, big:B-OffAct, game:I-OffAct, hunting:I-OffAct, was:O, Samas:B-Tool, (:O, aka:O, SamSam:B-Tool, ):O, ,:O, which:O, is:O, developed:O, and:O, operated:O, by:O, BOSS:O, SPIDER:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 they were first identified in January 2-16 , this adversary has consistently targeted large organizations for high ransom demands .' [/INST] [Since:O, they:O, were:O, first:O, identified:O, in:O, January:B-Time, 2-16:I-Time, ,:O, this:O, adversary:O, has:O, consistently:O, targeted:O, large:O, organizations:O, for:O, high:B-Purp, ransom:I-Purp, demands: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 July 2017 , INDRIK SPIDER joined the movement of targeted ransomware with BitPaymer .' [/INST] [In:O, July:B-Time, 2017:I-Time, ,:O, INDRIK:O, SPIDER:O, joined:O, the:O, movement:O, of:O, targeted:O, ransomware:O, with:O, BitPaymer: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: 'Most recently , the ransomware known as Ryuk came to market in August 2017 and has netted its operators , tracked by Falcon Intelligence as GRIM SPIDER , a significant ( and immediate ) profit in campaigns also targeting large organizations .' [/INST] [Most:O, recently:O, ,:O, the:O, ransomware:B-Tool, known:O, as:O, Ryuk:B-Tool, came:O, to:O, market:O, in:O, August:B-Time, 2017:I-Time, and:O, has:O, netted:O, its:O, operators:O, ,:O, tracked:O, by:O, Falcon:B-SecTeam, Intelligence:I-SecTeam, as:O, GRIM:B-HackOrg, SPIDER:I-HackOrg, ,:O, a:O, significant:O, (:O, and:O, immediate:O, ):O, profit:O, in:O, campaigns:B-OffAct, also:O, targeting:O, large: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: 'The WIZARD SPIDER threat group is the Russia-based operator of the TrickBot banking malware .' [/INST] [The:O, WIZARD:B-HackOrg, SPIDER:I-HackOrg, threat:O, group:O, is:O, the:O, Russia-based:O, operator:O, of:O, the:O, TrickBot:B-Tool, banking:I-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: 'The LUNAR SPIDER threat group is the Eastern European-based operator and developer of the commodity banking malware called BokBot ( aka IcedID ) , which was first observed in April 2017 .' [/INST] [The:O, LUNAR:B-HackOrg, SPIDER:I-HackOrg, threat:I-HackOrg, group:I-HackOrg, is:O, the:O, Eastern:B-Area, European-based:B-Area, operator:O, and:O, developer:O, of:O, the:O, commodity:O, banking:O, malware:O, called:O, BokBot:B-Tool, (:O, aka:O, IcedID:B-Tool, ):O, ,:O, which:O, was:O, first:O, observed:O, in:O, April:B-Time, 2017:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The BokBot malware provides LUNAR SPIDER affiliates with a variety of capabilities to enable credential theft and wire fraud , through the use of webinjects and a malware distribution function .' [/INST] [The:O, BokBot:B-Tool, malware:I-Tool, provides:O, LUNAR:O, SPIDER:O, affiliates:O, with:O, a:O, variety:O, of:O, capabilities:O, to:O, enable:O, credential:B-Purp, theft:I-Purp, and:O, wire:O, fraud:O, ,:O, through:O, the:O, use:O, of:O, webinjects:O, and:O, a:O, malware:O, distribution:O, function:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'campaigns involving both BokBot and TrickBot were first identified by CrowdStrike Intelligence in July 2017 .' [/INST] [campaigns:B-OffAct, involving:O, both:O, BokBot:B-Tool, and:O, TrickBot:B-Tool, were:O, first:O, identified:O, by:O, CrowdStrike:B-SecTeam, Intelligence:I-SecTeam, in:O, July:B-Time, 2017:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These gtags have been closely associated with LUNAR SPIDER activity .' [/INST] [These:O, gtags:B-Tool, have:O, been:O, closely:O, associated:O, with:O, LUNAR:B-OffAct, SPIDER:I-OffAct, activity:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Unit 42 followed network traces and pivoted on the information left behind by this actor , such as open directories , document metadata , and binary peculiarities , which enabled us to find a custom-made piece of malware , that we named , CapturaTela , .' [/INST] [Unit:B-SecTeam, 42:I-SecTeam, followed:O, network:O, traces:O, and:O, pivoted:O, on:O, the:O, information:O, left:O, behind:O, by:O, this:O, actor:O, ,:O, such:O, as:O, open:O, directories:O, ,:O, document:O, metadata:O, ,:O, and:O, binary:O, peculiarities:O, ,:O, which:O, enabled:O, us:O, to:O, find:O, a:O, custom-made:O, piece:O, of:O, malware:O, ,:O, that:O, we:O, named:O, ,:O, CapturaTela:B-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: 'Our telemetry for this campaign identified email as the primary delivery mechanism and found the first related samples were distributed in August 2018 .' [/INST] [Our:O, telemetry:O, for:O, this:O, campaign:B-OffAct, identified:O, email:B-Way, as:O, the:O, primary:O, delivery:O, mechanism:O, and:O, found:O, the:O, first:O, related:O, samples:O, were:O, distributed:O, in:O, August:B-Time, 2018: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: 'Aside from the use of the custom trojan CapturaTela , the actor makes extensive use of several other remote access Trojans to perform its malicious activities .' [/INST] [Aside:O, from:O, the:O, use:O, of:O, the:O, custom:O, trojan:O, CapturaTela:B-Tool, ,:O, the:O, actor:O, makes:O, extensive:O, use:O, of:O, several:O, other:O, remote:B-Tool, access:I-Tool, Trojans:I-Tool, to:O, perform:O, its:O, malicious:B-OffAct, activities:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Why would OurMine want to target WikiLeaks .' [/INST] [Why:O, would:O, OurMine:B-HackOrg, want:O, to:O, target:O, WikiLeaks:B-SecTeam, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Instead , OurMine had managed to alter WikiLeaks 's DNS records ( held by a third-party registrar ) to direct anyone who tried to visit wikileaks.org to visit a different IP address which definitely wasn't under the control of Julian Assange and his cronies .' [/INST] [Instead:O, ,:O, OurMine:B-HackOrg, had:O, managed:O, to:O, alter:O, WikiLeaks:B-SecTeam, 's:O, DNS:O, records:O, (:O, held:O, by:O, a:O, third-party:O, registrar:O, ):O, to:O, direct:O, anyone:O, who:O, tried:O, to:O, visit:O, wikileaks.org:O, to:O, visit:B-Purp, a:I-Purp, different:I-Purp, IP:I-Purp, address:I-Purp, which:O, definitely:O, wasn't:O, under:O, the:O, control:O, of:O, Julian:O, Assange:O, and:O, his:O, cronies:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 don't know how OurMine managed to access WikiLeaks 's DNS records , but past experience has shown that their typical modus operandi is simply to log in using their victim 's password .' [/INST] [We:O, don't:O, know:O, how:O, OurMine:O, managed:O, to:O, access:O, WikiLeaks:B-SecTeam, 's:O, DNS:O, records:O, ,:O, but:O, past:O, experience:O, has:O, shown:O, that:O, their:O, typical:O, modus:O, operandi:O, is:O, simply:O, to:O, log:O, in:O, using:O, their:O, victim:O, 's:O, password:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Alternatively , OurMine might have used social engineering to trick WikiLeaks 's DNS provider into handing over the credentials , or simple requested that a password reset link be sent to a compromised email address .' [/INST] [Alternatively:O, ,:O, OurMine:O, might:O, have:O, used:O, social:B-Way, engineering:I-Way, to:O, trick:O, WikiLeaks:B-SecTeam, 's:O, DNS:B-Org, provider:I-Org, into:O, handing:B-Purp, over:I-Purp, the:I-Purp, credentials:I-Purp, ,:O, or:O, simple:O, requested:O, that:O, a:O, password:O, reset:O, link:O, be:O, sent:O, to:O, a:O, compromised:O, email:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Alternatively , the attackers might have used social engineering to trick WikiLeaks 's DNS provider into handing over the credentials , or simple requested that a password reset link be sent to a compromised email address .' [/INST] [Alternatively:O, ,:O, the:O, attackers:O, might:O, have:O, used:O, social:B-Way, engineering:I-Way, to:O, trick:O, WikiLeaks:B-SecTeam, 's:O, DNS:B-Org, provider:I-Org, into:O, handing:B-Purp, over:I-Purp, the:I-Purp, credentials:I-Purp, ,:O, or:O, simple:O, requested:O, that:O, a:O, password:O, reset:O, link:O, be:O, sent:O, to:O, a:O, compromised:O, email:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Known for hijacking prominent social media accounts , the self-styled white hat hacking group OurMine took over a number of verified Twitter and Facebook accounts belonging to the cable network .' [/INST] [Known:O, for:O, hijacking:O, prominent:O, social:B-Idus, media:I-Idus, accounts:O, ,:O, the:O, self-styled:O, white:O, hat:O, hacking:O, group:O, OurMine:O, took:O, over:O, a:O, number:O, of:O, verified:O, Twitter:B-Org, and:O, Facebook:B-Org, accounts:O, belonging:O, to:O, the:O, cable: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: 'Last year , OurMine victimized Marvel , The New York Times , and even the heads of some of the biggest technology companies in the world .' [/INST] [Last:O, year:O, ,:O, OurMine:B-HackOrg, victimized:O, Marvel:O, ,:O, The:B-Org, New:I-Org, York:I-Org, Times:I-Org, ,:O, and:O, even:O, the:O, heads:O, of:O, some:O, of:O, the:O, biggest:O, technology:B-Org, companies:I-Org, in: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: 'Mark Zuckerberg , Jack Dorsey , Sundar Pichai , and Daniel Ek — the CEOs of Facebook , Twitter , Google and Spotify , respectively — have also fallen victim to the hackers , dispelling the notion that a career in software and technology exempts one from being compromised .' [/INST] [Mark:O, Zuckerberg:O, ,:O, Jack:O, Dorsey:O, ,:O, Sundar:O, Pichai:O, ,:O, and:O, Daniel:O, Ek:O, —:O, the:O, CEOs:O, of:O, Facebook:B-Org, ,:O, Twitter:B-Org, ,:O, Google:B-Org, and:O, Spotify:O, ,:O, respectively:O, —:O, have:O, also:O, fallen:O, victim:O, to:O, the:O, hackers:O, ,:O, dispelling:O, the:O, notion:O, that:O, a:O, career:O, in:O, software:O, and:O, technology:B-Idus, exempts:O, one:O, from:O, being:O, compromised:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group is well known : They hijacked WikiLeaks' DNS last month shortly after they took over HBO 's Twitter account ; last year , they took over Mark Zuckerberg 's Twitter and Pinterest accounts ; and they hit both BuzzFeed and TechCrunch not long after that .' [/INST] [The:O, group:O, is:O, well:O, known:O, ::O, They:O, hijacked:O, WikiLeaks':B-SecTeam, DNS:O, last:O, month:O, shortly:O, after:O, they:O, took:O, over:O, HBO:O, 's:O, Twitter:B-Org, account:O, ;:O, last:O, year:O, ,:O, they:O, took:O, over:O, Mark:O, Zuckerberg:O, 's:O, Twitter:B-Org, and:O, Pinterest:B-Org, accounts:O, ;:O, and:O, they:O, hit:O, both:O, BuzzFeed:B-Org, and:O, TechCrunch:B-Org, not:O, long:O, after:O, that:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'OurMine is well known : They hijacked WikiLeaks' DNS last month shortly after they took over HBO 's Twitter account ; last year , they took over Mark Zuckerberg 's Twitter and Pinterest accounts ; and they hit both BuzzFeed and TechCrunch not long after that .' [/INST] [OurMine:B-HackOrg, is:O, well:O, known:O, ::O, They:O, hijacked:O, WikiLeaks':B-SecTeam, DNS:O, last:O, month:O, shortly:O, after:O, they:O, took:O, over:O, HBO:O, 's:O, Twitter:B-Org, account:O, ;:O, last:O, year:O, ,:O, they:O, took:O, over:O, Mark:O, Zuckerberg:O, 's:O, Twitter:B-Org, and:O, Pinterest:B-Org, accounts:O, ;:O, and:O, they:O, hit:O, both:O, BuzzFeed:B-Org, and:O, TechCrunch:B-Org, not:O, long:O, after:O, that:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group 's primary goal is demonstrating to companies that they have weak security .' [/INST] [The:O, group:O, 's:O, primary:O, goal:O, is:O, demonstrating:B-Purp, to:I-Purp, companies:I-Purp, that:I-Purp, they:I-Purp, have:I-Purp, weak:I-Purp, security: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: 'US intelligence agencies pinned the breach on North Korea ( one of the hacking group 's demands was that Sony pull The Interview , Seth Rogan 's comedy about a plot to assassinate Kim Jong-Un ) .' [/INST] [US:O, intelligence:B-Org, agencies:I-Org, pinned:O, the:O, breach:O, on:O, North:O, Korea:O, (:O, one:O, of:O, the:O, hacking:O, group:O, 's:O, demands:O, was:O, that:O, Sony:B-Org, pull:O, The:O, Interview:O, ,:O, Seth:O, Rogan:O, 's:O, comedy:O, about:O, a:O, plot:O, to:O, assassinate:O, Kim:O, Jong-Un: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: 'Of course , Sony ( one of Vevo 's joint owners ) fell victim to a devastating hack in 2014 after a group of hackers calling themselves the , Guardians of Peace , dumped a wealth of its confidential data online .' [/INST] [Of:O, course:O, ,:O, Sony:B-Org, (:O, one:O, of:O, Vevo:O, 's:O, joint:O, owners:O, ):O, fell:O, victim:O, to:O, a:O, devastating:O, hack:O, in:O, 2014:B-Time, after:O, a:O, group:O, of:O, hackers:O, calling:O, themselves:O, the:O, ,:O, Guardians:O, of:O, Peace:O, ,:O, dumped:O, a:O, wealth:O, of:O, its:O, confidential:O, data:O, online:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 cryptominer employed by Pacha Group , labeled Linux.GreedyAntd by Intezer , was completely undetected by all leading engines , demonstrating the sophistication of this malware .' [/INST] [The:O, cryptominer:O, employed:O, by:O, Pacha:O, Group:O, ,:O, labeled:O, Linux.GreedyAntd:B-Tool, by:O, Intezer:B-SecTeam, ,:O, was:O, completely:O, undetected:O, by:O, all:O, leading:O, engines:O, ,:O, demonstrating:O, the:O, sophistication:O, of:O, this: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: 'Intezer has evidence dating back to September 2018 which shows Pacha Group has been using a cryptomining malware that has gone undetected on other engines .' [/INST] [Intezer:B-SecTeam, has:O, evidence:O, dating:O, back:O, to:O, September:O, 2018:O, which:O, shows:O, Pacha:O, Group:O, has:O, been:O, using:O, a:O, cryptomining:O, malware:O, that:O, has:O, gone:O, undetected:O, on:O, other:O, engines:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 new miner employed by Pacha Group , named Linux.GreedyAntd , has shown to be more sophisticated than the average Linux threat , using evasion techniques rarely seen in Linux malware .' [/INST] [The:O, new:O, miner:O, employed:O, by:O, Pacha:B-HackOrg, Group:I-HackOrg, ,:O, named:O, Linux.GreedyAntd:B-Tool, ,:O, has:O, shown:O, to:O, be:O, more:O, sophisticated:O, than:O, the:O, average:O, Linux:O, threat:O, ,:O, using:O, evasion:O, techniques:O, rarely:O, seen:O, in:O, Linux: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: 'Pacha Group is believed to be of Chinese origin , and is actively delivering new campaigns , deploying a broad number of components , many of which are undetected and operating within compromised third party servers .' [/INST] [Pacha:B-HackOrg, Group:I-HackOrg, is:O, believed:O, to:O, be:O, of:O, Chinese:O, origin:O, ,:O, and:O, is:O, actively:O, delivering:O, new:O, campaigns:B-OffAct, ,:O, deploying:O, a:O, broad:O, number:O, of:O, components:O, ,:O, many:O, of:O, which:O, are:O, undetected:O, and:O, operating:O, within:O, compromised:O, third:O, party: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: 'We have labeled the undetected Linux.Antd variants , Linux.GreedyAntd and classified the threat actor as Pacha Group .' [/INST] [We:O, have:O, labeled:O, the:O, undetected:O, Linux.Antd:O, variants:O, ,:O, Linux.GreedyAntd:B-Tool, and:O, classified:O, the:O, threat:O, actor:O, as:O, Pacha:O, 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: 'Based on our findings Linux.GreedyAntd 's operations closely resemble previous cryptojacking campaigns deployed by Pacha Group in the past .' [/INST] [Based:O, on:O, our:O, findings:O, Linux.GreedyAntd:B-Tool, 's:O, operations:O, closely:O, resemble:O, previous:O, cryptojacking:B-OffAct, campaigns:I-OffAct, deployed:O, by:O, Pacha:O, Group:O, 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: 'Among the artifacts hosted in GreedyAntd 's servers , we managed to find a single component not related to the same cryptojacking operation just previously discussed and leveraged by Pacha Group .' [/INST] [Among:O, the:O, artifacts:O, hosted:O, in:O, GreedyAntd:B-Tool, 's:O, servers:O, ,:O, we:O, managed:O, to:O, find:O, a:O, single:O, component:O, not:O, related:O, to:O, the:O, same:O, cryptojacking:O, operation:O, just:O, previously:O, discussed:O, and:O, leveraged:O, by:O, Pacha:O, 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: 'It was one of the few ransomware strains that were being mass-distributed via email spam and exploit kits , but also as part of targeted attacks against high-profile organizations ( a tactic known as big-game hunting ) at the same time .' [/INST] [It:O, was:O, one:O, of:O, the:O, few:O, ransomware:O, strains:O, that:O, were:O, being:O, mass-distributed:O, via:O, email:B-Way, spam:I-Way, and:O, exploit:B-Way, kits:I-Way, ,:O, but:O, also:O, as:O, part:O, of:O, targeted:B-OffAct, attacks:I-OffAct, against:O, high-profile:B-Org, organizations:I-Org, (:O, a:O, tactic:O, known:O, as:O, big-game:O, hunting:O, ):O, at:O, the:O, same:O, time:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The GandCrab author also had a spat with South Korean security vendor AhnLab last summer after the security firm released a vaccine for the GandCrab ransomware .' [/INST] [The:O, GandCrab:B-Tool, author:O, also:O, had:O, a:O, spat:O, with:O, South:B-Area, Korean:I-Area, security:O, vendor:O, AhnLab:B-SecTeam, last:O, summer:O, after:O, the:O, security:B-Org, firm:I-Org, released:O, a:O, vaccine:O, for:O, the:O, GandCrab:B-Tool, ransomware: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: 'Recently , Sophos Labs has observed criminal groups scanning the internet for open MySQL databases running on Windows systems , which they tried to infect with GandCrab .' [/INST] [Recently:O, ,:O, Sophos:B-SecTeam, Labs:I-SecTeam, has:O, observed:O, criminal:O, groups:O, scanning:O, the:O, internet:O, for:O, open:O, MySQL:O, databases:O, running:O, on:O, Windows:O, systems:O, ,:O, which:O, they:O, tried:O, to:O, infect:O, with:O, GandCrab: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: 'CrowdStrike Intelligence has recently observed PINCHY SPIDER affiliates deploying GandCrab ransomware in enterprise environments , using lateral movement techniques and tooling commonly associated with nation-state adversary groups and penetration testing teams .' [/INST] [CrowdStrike:B-SecTeam, Intelligence:I-SecTeam, has:O, recently:O, observed:O, PINCHY:B-HackOrg, SPIDER:I-HackOrg, affiliates:O, deploying:O, GandCrab:B-Tool, ransomware:I-Tool, in:O, enterprise:O, environments:O, ,:O, using:O, lateral:O, movement:O, techniques:O, and:O, tooling:O, commonly:O, associated:O, with:O, nation-state:O, adversary:O, groups:O, and:O, penetration:O, testing:O, teams:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Probably the most high-profile attack that GandCrab was behind is a series of infections at customers of remote IT support firms in the month of February .' [/INST] [Probably:O, the:O, most:O, high-profile:O, attack:B-OffAct, that:O, GandCrab:B-Tool, was:O, behind:O, is:O, a:O, series:O, of:O, infections:O, at:O, customers:B-Org, of:O, remote:O, IT:B-Org, support:I-Org, firms:I-Org, in:O, the:O, month:O, of:O, February:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CrowdStrike® Intelligence has recently observed PINCHY SPIDER affiliates deploying GandCrab ransomware in enterprise environments , using lateral movement techniques and tooling commonly associated with nation-state adversary groups and penetration testing teams .' [/INST] [CrowdStrike®:B-SecTeam, Intelligence:I-SecTeam, has:O, recently:O, observed:O, PINCHY:B-HackOrg, SPIDER:I-HackOrg, affiliates:O, deploying:O, GandCrab:B-Tool, ransomware:I-Tool, in:O, enterprise:O, environments:O, ,:O, using:O, lateral:O, movement:O, techniques:O, and:O, tooling:O, commonly:O, associated:O, with:O, nation-state:O, adversary:O, groups:O, and:O, penetration:O, testing:O, teams:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PINCHY SPIDER is the criminal group behind the development of the ransomware most commonly known as GandCrab , which has been active since January 2018 .' [/INST] [PINCHY:B-HackOrg, SPIDER:I-HackOrg, is:O, the:O, criminal:O, group:O, behind:O, the:O, development:O, of:O, the:O, ransomware:O, most:O, commonly:O, known:O, as:O, GandCrab:B-Tool, ,:O, which:O, has:O, been:O, active:O, since:O, January:B-Time, 2018: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: 'PINCHY SPIDER sells access to use GandCrab ransomware under a partnership program with a limited number of accounts .' [/INST] [PINCHY:B-HackOrg, SPIDER:I-HackOrg, sells:O, access:O, to:O, use:O, GandCrab:B-Tool, ransomware:I-Tool, under:O, a:O, partnership:O, program:O, with:O, a:O, limited:O, number:O, of:O, accounts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 main catalyst for dedicated development by PINCHY SPIDER , however , has been an ongoing battle with cybersecurity providers that are actively developing GandCrab mitigations and decryptors .' [/INST] [The:O, main:O, catalyst:O, for:O, dedicated:O, development:O, by:O, PINCHY:B-HackOrg, SPIDER:I-HackOrg, ,:O, however:O, ,:O, has:O, been:O, an:O, ongoing:O, battle:O, with:O, cybersecurity:B-Org, providers:I-Org, that:O, are:O, actively:O, developing:O, GandCrab:B-Tool, mitigations:O, and:O, decryptors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 February , PINCHY SPIDER released version 5.2 of GandCrab , which is immune to the decryption tools developed for earlier versions of GandCrab and in fact , was deployed the day before the release of the latest decryptor .' [/INST] [In:O, February:B-Time, ,:O, PINCHY:B-HackOrg, SPIDER:I-HackOrg, released:O, version:O, 5.2:O, of:O, GandCrab:B-Tool, ,:O, which:O, is:O, immune:O, to:O, the:O, decryption:O, tools:O, developed:O, for:O, earlier:O, versions:O, of:O, GandCrab:B-Tool, and:O, in:O, fact:O, ,:O, was:O, deployed:O, the:O, day:O, before:O, the:O, release:O, of:O, the:O, latest:O, decryptor:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CrowdStrike Intelligence first identified new GandCrab ransomware deployment tactics in mid-February , when a threat actor was observed performing actions on a victim host in order to install GandCrab .' [/INST] [CrowdStrike:B-SecTeam, Intelligence:I-SecTeam, first:O, identified:O, new:O, GandCrab:B-Tool, ransomware:I-Tool, deployment:O, tactics:O, in:O, mid-February:O, ,:O, when:O, a:O, threat:O, actor:O, was:O, observed:O, performing:O, actions:O, on:O, a:O, victim:O, host:O, in:O, order:O, to:O, install:O, GandCrab: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: 'Using RDP and stolen credentials from the initially compromised host , the threat actor then proceeded to move laterally around the victim network and was able to deploy GandCrab across several other hosts .' [/INST] [Using:O, RDP:B-Tool, and:O, stolen:O, credentials:O, from:O, the:O, initially:O, compromised:O, host:O, ,:O, the:O, threat:O, actor:O, then:O, proceeded:O, to:O, move:O, laterally:O, around:O, the:O, victim:O, network:O, and:O, was:O, able:O, to:O, deploy:O, GandCrab:B-Tool, across:O, several:O, other:O, hosts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Near the end of February , CrowdStrike Intelligence observed another incident in which similar manual lateral movement techniques were used to deploy GandCrab across multiple hosts in an enterprise .' [/INST] [Near:O, the:O, end:O, of:O, February:B-Time, ,:O, CrowdStrike:B-SecTeam, Intelligence:I-SecTeam, observed:O, another:O, incident:O, in:O, which:O, similar:O, manual:O, lateral:O, movement:O, techniques:O, were:O, used:O, to:O, deploy:O, GandCrab:B-Tool, across:O, multiple:O, hosts:O, in:O, an:O, enterprise:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Domain Controller access was acquired , Pinchy Spider used the enterprise 's own IT systems management software , LANDesk , to deploy a loader to hosts across the enterprise .' [/INST] [Once:O, Domain:O, Controller:O, access:O, was:O, acquired:O, ,:O, Pinchy:O, Spider:O, used:O, the:O, enterprise:O, 's:O, own:O, IT:O, systems:O, management:O, software:O, ,:O, LANDesk:B-Tool, ,:O, to:O, deploy:O, a:O, loader:O, to:O, hosts:O, across:O, the:O, enterprise:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 loader , known as Phorpiex Downloader , is not specifically tied to GandCrab or PINCHY SPIDER , and it has previously been observed dropping other malware , such as Smoke Bot , Azorult , and XMRig .' [/INST] [This:O, loader:O, ,:O, known:O, as:O, Phorpiex:B-Tool, Downloader:I-Tool, ,:O, is:O, not:O, specifically:O, tied:O, to:O, GandCrab:B-HackOrg, or:O, PINCHY:B-HackOrg, SPIDER:I-HackOrg, ,:O, and:O, it:O, has:O, previously:O, been:O, observed:O, dropping:O, other:O, malware:O, ,:O, such:O, as:O, Smoke:B-Tool, Bot:I-Tool, ,:O, Azorult:B-Tool, ,:O, and:O, XMRig: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: 'As reported in the CrowdStrike 2018 Global Threat Report , big game hunting was a trend that helped define the criminal threat landscape in 2018 .' [/INST] [As:O, reported:O, in:O, the:O, CrowdStrike:O, 2018:O, Global:O, Threat:O, Report:O, ,:O, big:B-OffAct, game:I-OffAct, hunting:I-OffAct, was:O, a:O, trend:O, that:O, helped:O, define:O, the:O, criminal:O, threat:O, landscape:O, in:O, 2018: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: 'BOSS SPIDER used both enterprise and per-host pricing during their campaigns .' [/INST] [BOSS:B-HackOrg, SPIDER:I-HackOrg, used:O, both:O, enterprise:B-Tool, and:O, per-host:B-Tool, pricing:I-Tool, during:O, their:O, campaigns:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Both INDRIK SPIDER ( with BitPaymer ransomware ) and GRIM SPIDER ( with Ryuk ransomware ) have made headlines with their high profile victims and ransom profits , demonstrating that big game hunting is a lucrative enterprise .' [/INST] [Both:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, (:O, with:O, BitPaymer:B-Tool, ransomware:B-Tool, ):O, and:O, GRIM:B-HackOrg, SPIDER:I-HackOrg, (:O, with:O, Ryuk:B-Tool, ransomware:I-Tool, ):O, have:O, made:O, headlines:O, with:O, their:O, high:O, profile:O, victims:O, and:O, ransom:O, profits:O, ,:O, demonstrating:O, that:O, big:B-OffAct, game:I-OffAct, hunting:I-OffAct, is:O, a:O, lucrative:O, enterprise:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Running successful big game hunting operations results in a higher average profit per victim , allowing adversaries like PINCHY SPIDER and their partners to increase their criminal revenue quickly .' [/INST] [Running:O, successful:O, big:B-OffAct, game:I-OffAct, hunting:I-OffAct, operations:I-OffAct, results:O, in:O, a:O, higher:O, average:O, profit:O, per:O, victim:O, ,:O, allowing:O, adversaries:O, like:O, PINCHY:O, SPIDER:O, and:O, their:O, partners:O, to:O, increase:O, their:O, criminal:O, revenue:O, quickly:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actor Rocke was originally revealed by Talos in August of 2018 and many remarkable behaviors were disclosed in their blog post .' [/INST] [The:O, threat:O, actor:O, Rocke:O, was:O, originally:O, revealed:O, by:O, Talos:B-SecTeam, in:O, August:B-Time, of:I-Time, 2018:I-Time, and:O, many:O, remarkable:O, behaviors:O, were:O, disclosed:O, in:O, their: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: 'The family was suspected to be developed by the Iron cybercrime group and it's also associated with the Xbash malware we reported on in September of 2018 .' [/INST] [The:O, family:O, was:O, suspected:O, to:O, be:O, developed:O, by:O, the:O, Iron:O, cybercrime:O, group:O, and:O, it's:O, also:O, associated:O, with:O, the:O, Xbash:B-Tool, malware:I-Tool, we:O, reported:O, on:O, in:O, September:O, of:O, 2018:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actor Rocke was first reported by Cisco Talos in late July 2018 .' [/INST] [The:O, threat:O, actor:O, Rocke:O, was:O, first:O, reported:O, by:O, Cisco:B-SecTeam, Talos:I-SecTeam, in:O, late:O, July:B-Time, 2018:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The ultimate goal of this threat is to mine Monero cryptocurrency in compromised Linux machines .' [/INST] [The:O, ultimate:O, goal:O, of:O, this:O, threat:O, is:O, to:O, mine:B-Purp, Monero:I-Purp, cryptocurrency:I-Purp, in:O, compromised:O, Linux: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: 'To deliver the malware to the victim machines , the Rocke group exploits vulnerabilities in Apache Struts 2 , Oracle WebLogic , and Adobe ColdFusion .' [/INST] [To:O, deliver:O, the:O, malware:O, to:O, the:O, victim:O, machines:O, ,:O, the:O, Rocke:B-Exp, group:I-Exp, exploits:I-Exp, vulnerabilities:I-Exp, in:O, Apache:O, Struts:O, 2:O, ,:O, Oracle:O, WebLogic:O, ,:O, and:O, Adobe:O, ColdFusion:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the C2 connection is established , malware used by the Rocke group downloads shell script named as , a7 , to the victim machine .' [/INST] [Once:O, the:O, C2:O, connection:O, is:O, established:O, ,:O, malware:O, used:O, by:O, the:O, Rocke:B-HackOrg, group:O, downloads:O, shell:O, script:O, named:O, as:O, ,:O, a7:B-Tool, ,:O, to:O, the:O, victim: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: 'To be more specific , the malware uninstalls cloud security products by Alibaba Cloud and Tencent Cloud .' [/INST] [To:O, be:O, more:O, specific:O, ,:O, the:O, malware:O, uninstalls:O, cloud:O, security:O, products:O, by:O, Alibaba:O, Cloud:O, and:O, Tencent:O, Cloud:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Public cloud infrastructure is one of the main targets for Rocke .' [/INST] [Public:O, cloud:O, infrastructure:O, is:O, one:O, of:O, the:O, main:O, targets:O, for:O, Rocke: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: 'FortiGuard Labs has been monitoring a Linux coin mining campaign from , Rocke , – a malware threat group specializing in cryptomining .' [/INST] [FortiGuard:B-SecTeam, Labs:I-SecTeam, has:O, been:O, monitoring:O, a:O, Linux:B-OffAct, coin:I-OffAct, mining:I-OffAct, campaign:I-OffAct, from:O, ,:O, Rocke:B-OffAct, ,:O, –:O, a:O, malware:O, threat:O, group:O, specializing:O, in:O, cryptomining:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malicious bash script components of the malware are hosted in Pastebin , with the profile name , SYSTEMTEN , , which is very similar to previous names used by the , Rocke , threat group .' [/INST] [The:O, malicious:O, bash:O, script:O, components:O, of:O, the:O, malware:O, are:O, hosted:O, in:O, Pastebin:B-Tool, ,:O, with:O, the:O, profile:O, name:O, ,:O, SYSTEMTEN:B-Tool, ,:O, ,:O, which:O, is:O, very:O, similar:O, to:O, previous:O, names:O, used:O, by:O, the:O, ,:O, Rocke:O, ,:O, threat:O, 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: 'However , around a month ago , Rocke started targeting systems that run Jenkins by attempting to exploit CVE-2018-1000861 and CVE-2019-1003000 .' [/INST] [However:O, ,:O, around:O, a:O, month:O, ago:O, ,:O, Rocke:B-HackOrg, started:O, targeting:O, systems:O, that:O, run:O, Jenkins:O, by:O, attempting:O, to:O, exploit:O, CVE-2018-1000861:B-Exp, and:O, CVE-2019-1003000:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By utilizing a hook library , it is more complicated for users to manually detect and remove the infection from their systems , giving the threat actors more time to generate profit .' [/INST] [By:O, utilizing:O, a:O, hook:B-Tool, library:I-Tool, ,:O, it:O, is:O, more:O, complicated:O, for:O, users:O, to:O, manually:O, detect:O, and:O, remove:O, the:O, infection:O, from:O, their:O, systems:O, ,:O, giving:O, the:O, threat:O, actors:O, more:O, time:O, to:O, generate: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: 'The group also made it back into the news with the recent WannaCry ransomware that targeted computers around the globe ; it piggybacked on exploits revealed by the Shadow Brokers .' [/INST] [The:O, group:O, also:O, made:O, it:O, back:O, into:O, the:O, news:O, with:O, the:O, recent:O, WannaCry:B-Tool, ransomware:I-Tool, that:O, targeted:O, computers:O, around:O, the:O, globe:O, ;:O, it:O, piggybacked:O, on:O, exploits:O, revealed:O, by:O, the:O, Shadow:B-HackOrg, Brokers: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: 'A mysterious hacker or hackers going by the name , The Shadow Brokers , claims to have hacked a group linked to the NSA and dumped a bunch of its hacking tools .' [/INST] [A:O, mysterious:O, hacker:O, or:O, hackers:O, going:O, by:O, the:O, name:O, ,:O, The:O, Shadow:O, Brokers:O, ,:O, claims:O, to:O, have:O, hacked:O, a:O, group:O, linked:O, to:O, the:O, NSA:B-Org, and:O, dumped:O, a:O, bunch:O, of:O, its:O, hacking: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 Shadow Brokers claimed to have hacked the Equation Group and stolen some of its hacking tools .' [/INST] [The:O, Shadow:O, Brokers:O, claimed:O, to:O, have:O, hacked:O, the:O, Equation:O, Group:O, and:O, stolen:O, some:O, of:O, its:O, hacking: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 Shadow Brokers first emerged in August , when they posted links to a selection of NSA exploits and hacking tools onto Github and other websites .' [/INST] [The:O, Shadow:O, Brokers:O, first:O, emerged:O, in:O, August:B-Time, ,:O, when:O, they:O, posted:O, links:O, to:O, a:O, selection:O, of:O, NSA:B-Exp, exploits:I-Exp, and:O, hacking:O, tools:O, onto:O, Github:O, and:O, other:O, websites:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Shadow Brokers , the group that publicly dumped a cache of NSA hacking tools , appears to be back and ready to sell stolen material on an individual basis .' [/INST] [The:O, Shadow:B-HackOrg, Brokers:I-HackOrg, ,:O, the:O, group:O, that:O, publicly:O, dumped:O, a:O, cache:O, of:O, NSA:B-Tool, hacking:I-Tool, tools:I-Tool, ,:O, appears:O, to:O, be:O, back:O, and:O, ready:O, to:O, sell:O, stolen:O, material:O, on:O, an:O, individual:O, basis:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Wh1sks estimated that , between June and early August , the Shadow Brokers have made up to $88,000 in an alternative cryptocurrency called Monero .' [/INST] [Wh1sks:B-SecTeam, estimated:O, that:O, ,:O, between:O, June:B-Time, and:O, early:O, August:B-Time, ,:O, the:O, Shadow:B-HackOrg, Brokers:I-HackOrg, have:O, made:O, up:O, to:O, $88,000:O, in:O, an:O, alternative:O, cryptocurrency:B-Idus, called:O, Monero:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Moreover , Wh1sks was able to find out the email addresses of five people who have subscribed to the Shadow Brokers' monthly dump service .' [/INST] [Moreover:O, ,:O, Wh1sks:B-SecTeam, was:O, able:O, to:O, find:O, out:O, the:O, email:O, addresses:O, of:O, five:O, people:O, who:O, have:O, subscribed:O, to:O, the:O, Shadow:B-HackOrg, Brokers':I-HackOrg, monthly:O, dump:O, service:O, .:O] </s> |