text
stringlengths 309
3.43k
|
|---|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It is important to give certificates the protection they need so they can't be used maliciously .' [/INST] [It:O, is:O, important:O, to:O, give:O, certificates:O, the:O, protection:O, they:O, need:O, so:O, they:O, can't:O, be:O, used:O, maliciously:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 certificates are only as secure as the safeguards that organizations put around them .' [/INST] [The:O, certificates:O, are:O, only:O, as:O, secure:O, as:O, the:O, safeguards:O, that:O, organizations:O, put:O, around:O, them:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once a certificate has been compromised , so has the reputation of the organization who signed it .' [/INST] [Once:O, a:O, certificate:O, has:O, been:O, compromised:O, ,:O, so:O, has:O, the:O, reputation:O, of:O, the:O, organization:O, who:O, signed:O, it:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'An organization whose certificate has been stolen and used to sign malware will always be associated with that activity .' [/INST] [An:O, organization:O, whose:O, certificate:O, has:O, been:O, stolen:O, and:O, used:O, to:O, sign:O, malware:O, will:O, always:O, be:O, associated:O, with:O, that:O, activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Symantec monitors for this type of activity to help prevent organizations from being tied to malicious actions undertaken with their stolen certificates .' [/INST] [Symantec:S-SECTEAM, monitors:O, for:O, this:O, type:O, of:O, activity:O, to:O, help:O, prevent:O, organizations:O, from:O, being:O, tied:O, to:O, malicious:O, actions:O, undertaken:O, with:O, their:O, stolen:O, certificates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During the course of this investigation , we ensured that all certificates compromised by Suckfly were revoked and the affected companies notified .' [/INST] [During:O, the:O, course:O, of:O, this:O, investigation:O, ,:O, we:O, ensured:O, that:O, all:O, certificates:O, compromised:O, by:O, Suckfly:S-APT, were:O, revoked:O, and:O, the:O, affected:O, companies:O, notified:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Over the past few years , we have seen a number of advanced threats and cybercrime groups who have stolen code-signing certificates .' [/INST] [Over:O, the:O, past:O, few:O, years:O, ,:O, we:O, have:O, seen:O, a:O, number:O, of:O, advanced:O, threats:O, and:O, cybercrime:O, groups:O, who:O, have:O, stolen:O, code-signing:O, certificates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the cases involving an advanced threat , the certificates were used to disguise malware as a legitimate file or application .' [/INST] [In:O, all:O, of:O, the:O, cases:O, involving:O, an:O, advanced:O, threat:O, ,:O, the:O, certificates:O, were:O, used:O, to:O, disguise:O, malware:O, as:O, a:O, legitimate:O, file:O, or:O, application:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'File hashes :' [/INST] [File:O, hashes:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '05edd53508c55b9dd64129e944662c0d 1cf5ce3e3ea310b0f7ce72a94659ff54 352eede25c74775e6102a095fb49da8c 3b595d3e63537da654de29dd01793059 4709395fb143c212891138b98460e958 50f4464d0fc20d1932a12484a1db4342 96c317b0b1b14aadfb5a20a03771f85f ba7b1392b799c8761349e7728c2656dd de5057e579be9e3c53e50f97a9b1832b e7d92039ffc2f07496fe7657d982c80f e864f32151d6afd0a3491f432c2bb7a2 .' [/INST] [05edd53508c55b9dd64129e944662c0d:S-MD5, 1cf5ce3e3ea310b0f7ce72a94659ff54:S-MD5, 352eede25c74775e6102a095fb49da8c:S-MD5, 3b595d3e63537da654de29dd01793059:S-MD5, 4709395fb143c212891138b98460e958:S-MD5, 50f4464d0fc20d1932a12484a1db4342:S-MD5, 96c317b0b1b14aadfb5a20a03771f85f:S-MD5, ba7b1392b799c8761349e7728c2656dd:S-MD5, de5057e579be9e3c53e50f97a9b1832b:S-MD5, e7d92039ffc2f07496fe7657d982c80f:S-MD5, e864f32151d6afd0a3491f432c2bb7a2:S-MD5, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Infrastructure :' [/INST] [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: 'usv0503.iqservs-jp.com aux.robertstockdill.com fli.fedora-dns-update.com bss.pvtcdn.com ssl.microsoft-security-center.com ssl.2upgrades.com 133.242.134.121 fli.fedora-dns-update.com .' [/INST] [usv0503.iqservs-jp.com:S-DOM, aux.robertstockdill.com:S-DOM, fli.fedora-dns-update.com:S-DOM, bss.pvtcdn.com:S-DOM, ssl.microsoft-security-center.com:S-DOM, ssl.2upgrades.com:S-DOM, 133.242.134.121:S-IP, fli.fedora-dns-update.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Indian organizations targeted in Suckfly attacks .' [/INST] [Indian:O, organizations:O, targeted:O, in:O, Suckfly:S-APT, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In March 2016 , Symantec published a blog on Suckfly , an advanced cyberespionage group that conducted attacks against a number of South Korean organizations to steal digital certificates .' [/INST] [In:O, March:B-TIME, 2016:E-TIME, ,:O, Symantec:S-SECTEAM, published:O, a:O, blog:O, on:O, Suckfly:S-APT, ,:O, an:O, advanced:O, cyberespionage:O, group:O, that:O, conducted:O, attacks:O, against:O, a:O, number:O, of:O, South:O, Korean:O, organizations:O, to:O, steal:O, digital:O, certificates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 then we have identified a number of attacks over a two-year period , beginning in April 2014 , which we attribute to Suckfly .' [/INST] [Since:O, then:O, we:O, have:O, identified:O, a:O, number:O, of:O, attacks:O, over:O, a:O, two-year:O, period:O, ,:O, beginning:O, in:O, April:B-TIME, 2014:E-TIME, ,:O, which:O, we:O, attribute:O, to:O, Suckfly:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attacks targeted high-profile targets , including government and commercial organizations .' [/INST] [The:O, attacks:O, targeted:O, high-profile:O, targets:O, ,:O, including:O, government:O, and:O, commercial: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: 'These attacks occurred in several different countries , but our investigation revealed that the primary targets were individuals and organizations primarily located in India .' [/INST] [These:O, attacks:O, occurred:O, in:O, several:O, different:O, countries:O, ,:O, but:O, our:O, investigation:O, revealed:O, that:O, the:O, primary:O, targets:O, were:O, individuals:O, and:O, organizations:O, primarily:O, located:O, in:O, India:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While there have been several Suckfly campaigns that infected organizations with the group ’s custom malware Backdoor.Nidiran , the Indian targets show a greater amount of post-infection activity than targets in other regions .' [/INST] [While:O, there:O, have:O, been:O, several:O, Suckfly:S-APT, campaigns:O, that:O, infected:O, organizations:O, with:O, the:O, group:O, ’s:O, custom:O, malware:O, Backdoor.Nidiran:S-MAL, ,:O, the:O, Indian:O, targets:O, show:O, a:O, greater:O, amount:O, of:O, post-infection:O, activity:O, than:O, targets:O, in:O, other:O, regions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 suggests that these attacks were part of a planned operation against specific targets in India .' [/INST] [This:O, suggests:O, that:O, these:O, attacks:O, were:O, part:O, of:O, a:O, planned:O, operation:O, against:O, specific:O, targets:O, in:O, India:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The first known Suckfly campaign began in April of 2014 .' [/INST] [The:O, first:O, known:O, Suckfly:S-APT, campaign:O, began:O, in:O, April:B-TIME, of:I-TIME, 2014:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During our investigation of the campaign , we identified a number of global targets across several industries who were attacked in 2015 .' [/INST] [During:O, our:O, investigation:O, of:O, the:O, campaign:O, ,:O, we:O, identified:O, a:O, number:O, of:O, global:O, targets:O, across:O, several:O, industries:O, who:O, were:O, attacked:O, in:O, 2015:S-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Many of the targets we identified were well known commercial organizations located in India .' [/INST] [Many:O, of:O, the:O, targets:O, we:O, identified:O, were:O, well:O, known:O, commercial:O, organizations:O, located:O, in:O, India:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These organizations included :' [/INST] [These:O, organizations:O, included:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One of India 's largest financial organizations A large e-commerce company The e-commerce company 's primary shipping vendor One of India 's top five IT firms A United States healthcare provider 's Indian business unit Two government organizations .' [/INST] [One:O, of:O, India:S-LOC, 's:O, largest:O, financial:O, organizations:O, A:O, large:O, e-commerce:O, company:O, The:O, e-commerce:O, company:O, 's:O, primary:O, shipping:O, vendor:O, One:O, of:O, India:S-LOC, 's:O, top:O, five:O, IT:O, firms:O, A:O, United:B-LOC, States:E-LOC, healthcare:O, provider:O, 's:O, Indian:O, business:O, unit:O, Two:O, government: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: 'Suckfly spent more time attacking the government networks compared to all but one of the commercial targets .' [/INST] [Suckfly:S-APT, spent:O, more:O, time:O, attacking:O, the:O, government:O, networks:O, compared:O, to:O, all:O, but:O, one:O, of:O, the:O, commercial:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Additionally , one of the two government organizations had the highest infection rate of the Indian targets .' [/INST] [Additionally:O, ,:O, one:O, of:O, the:O, two:O, government:O, organizations:O, had:O, the:O, highest:O, infection:O, rate:O, of:O, the:O, Indian:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 1 shows the infection rate for each of the targets .' [/INST] [Figure:O, 1:O, shows:O, the:O, infection:O, rate:O, for:O, each:O, of:O, the:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Indian government org #2 is responsible for implementing network software for different ministries and departments within India 's central government .' [/INST] [Indian:O, government:O, org:O, #2:O, is:O, responsible:O, for:O, implementing:O, network:O, software:O, for:O, different:O, ministries:O, and:O, departments:O, within:O, India:S-LOC, 's:O, central:O, 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: 'The high infection rate for this target is likely because of its access to technology and information related to other Indian government organizations .' [/INST] [The:O, high:O, infection:O, rate:O, for:O, this:O, target:O, is:O, likely:O, because:O, of:O, its:O, access:O, to:O, technology:O, and:O, information:O, related:O, to:O, other:O, Indian:O, government: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: 'Suckfly 's attacks on government organizations that provide information technology services to other government branches is not limited to India .' [/INST] [Suckfly:S-APT, 's:O, attacks:O, on:O, government:O, organizations:O, that:O, provide:O, information:O, technology:O, services:O, to:O, other:O, government:O, branches:O, is:O, not:O, limited:O, to:O, India:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It has conducted attacks on similar organizations in Saudi Arabia , likely because of the access that those organizations have .' [/INST] [It:O, has:O, conducted:O, attacks:O, on:O, similar:O, organizations:O, in:O, Saudi:B-LOC, Arabia:E-LOC, ,:O, likely:O, because:O, of:O, the:O, access:O, that:O, those:O, organizations:O, have:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly 's targets are displayed in figure 2 by their industry , which provides a clearer view of the group ’s operations .' [/INST] [Suckfly:S-APT, 's:O, targets:O, are:O, displayed:O, in:O, figure:O, 2:O, by:O, their:O, industry:O, ,:O, which:O, provides:O, a:O, clearer:O, view:O, of:O, the:O, group:O, ’s: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: 'Most of the group 's attacks are focused on government or technology related companies and organizations .' [/INST] [Most:O, of:O, the:O, group:O, 's:O, attacks:O, are:O, focused:O, on:O, government:O, or:O, technology:O, related:O, companies:O, and:O, organizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One of the attacks we investigated provided detailed insight into how Suckfly conducts its operations .' [/INST] [One:O, of:O, the:O, attacks:O, we:O, investigated:O, provided:O, detailed:O, insight:O, into:O, how:O, Suckfly:S-APT, conducts:O, its: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: 'In 2015 , Suckfly conducted a multistage attack between April 22 and May 4 against an e-commerce organization based in India .' [/INST] [In:O, 2015:S-TIME, ,:O, Suckfly:S-APT, conducted:O, a:O, multistage:O, attack:O, between:O, April:B-TIME, 22:E-TIME, and:O, May:B-TIME, 4:E-TIME, against:O, an:O, e-commerce:O, organization:O, based:O, in:O, India:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Similar to its other attacks , Suckfly used the Nidiran back door along with a number of hacktools to infect the victim 's internal hosts .' [/INST] [Similar:O, to:O, its:O, other:O, attacks:O, ,:O, Suckfly:S-APT, used:O, the:O, Nidiran:S-MAL, back:O, door:O, along:O, with:O, a:O, number:O, of:O, hacktools:O, to:O, infect:O, the:O, victim:O, 's:O, internal: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: 'The tools and malware used in this breach were also signed with stolen digital certificates .' [/INST] [The:O, tools:O, and:O, malware:O, used:O, in:O, this:O, breach:O, were:O, also:O, signed:O, with:O, stolen:O, digital:O, certificates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly 's first step was to identify a user to target so the attackers could attempt their initial breach into the e-commerce company 's internal network .' [/INST] [Suckfly:S-APT, 's:O, first:O, step:O, was:O, to:O, identify:O, a:O, user:O, to:O, target:O, so:O, the:O, attackers:O, could:O, attempt:O, their:O, initial:O, breach:O, into:O, the:O, e-commerce:O, company:O, 's:O, internal: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: 'We don't have hard evidence of how Suckfly obtained information on the targeted user , but we did find a large open-source presence on the initial target .' [/INST] [We:O, don't:O, have:O, hard:O, evidence:O, of:O, how:O, Suckfly:S-APT, obtained:O, information:O, on:O, the:O, targeted:O, user:O, ,:O, but:O, we:O, did:O, find:O, a:O, large:O, open-source:O, presence:O, on:O, the:O, initial:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The target 's job function , corporate email address , information on work related projects , and publicly accessible personal blog could all be freely found online .' [/INST] [The:O, target:O, 's:O, job:O, function:O, ,:O, corporate:O, email:S-TOOL, address:O, ,:O, information:O, on:O, work:O, related:O, projects:O, ,:O, and:O, publicly:O, accessible:O, personal:O, blog:O, could:O, all:O, be:O, freely:O, found: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: 'On April 22 , 2015 , Suckfly exploited a vulnerability on the targeted employee 's operating system ( Windows ) that allowed the attackers to bypass the User Account Control and install the Nidiran back door to provide access for their attack .' [/INST] [On:O, April:B-TIME, 22:I-TIME, ,:I-TIME, 2015:E-TIME, ,:O, Suckfly:S-APT, exploited:O, a:O, vulnerability:O, on:O, the:O, targeted:O, employee:O, 's:O, operating:O, system:O, (:O, Windows:S-OS, ):O, that:O, allowed:O, the:O, attackers:O, to:O, bypass:O, the:O, User:B-TOOL, Account:I-TOOL, Control:E-TOOL, and:O, install:O, the:O, Nidiran:S-MAL, back:O, door:O, to:O, provide:O, access:O, for:O, their:O, attack:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While we know the attackers used a custom dropper to install the back door , we do not know the delivery vector .' [/INST] [While:O, we:O, know:O, the:O, attackers:O, used:O, a:O, custom:O, dropper:O, to:O, install:O, the:O, back:O, door:O, ,:O, we:O, do:O, not:O, know:O, the:O, delivery:O, vector:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Based on the amount of open-source information available on the target , it is feasible that a spear-phishing email may have been used .' [/INST] [Based:O, on:O, the:O, amount:O, of:O, open-source:O, information:O, available:O, on:O, the:O, target:O, ,:O, it:O, is:O, feasible:O, that:O, a:O, spear-phishing:S-ACT, email:S-TOOL, may:O, have:O, been:O, used:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After the attackers successfully exploited the employee ’s system , they gained access to the e-commerce company 's internal network .' [/INST] [After:O, the:O, attackers:O, successfully:O, exploited:O, the:O, employee:O, ’s:O, system:O, ,:O, they:O, gained:O, access:O, to:O, the:O, e-commerce:O, company:O, 's:O, internal: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: 'We found evidence that Suckfly used hacktools to move latterly and escalate privileges .' [/INST] [We:O, found:O, evidence:O, that:O, Suckfly:S-APT, used:O, hacktools:O, to:O, move:O, latterly:O, and:O, escalate:O, privileges:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 do this the attackers used a signed credential-dumping tool to obtain the victim 's account credentials .' [/INST] [To:O, do:O, this:O, the:O, attackers:O, used:O, a:O, signed:O, credential-dumping:O, tool:O, to:O, obtain:O, the:O, victim:O, 's:O, account:O, credentials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With the account credentials , the attackers were able to access the victim 's account and navigate the internal corporate network as though they were the employee .' [/INST] [With:O, the:O, account:O, credentials:O, ,:O, the:O, attackers:O, were:O, able:O, to:O, access:O, the:O, victim:O, 's:O, account:O, and:O, navigate:O, the:O, internal:O, corporate:O, network:O, as:O, though:O, they:O, were:O, the:O, employee:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On April 27 , the attackers scanned the corporate internal network for hosts with ports 8080 , 5900 , and 40 open .' [/INST] [On:O, April:B-TIME, 27:E-TIME, ,:O, the:O, attackers:O, scanned:O, the:O, corporate:O, internal:O, network:O, for:O, hosts:O, with:O, ports:O, 8080:O, ,:O, 5900:O, ,:O, and:O, 40:O, open:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ports 8080 and 5900 are common ports used with legitimate protocols , but can be abused by attackers when they are not secured .' [/INST] [Ports:O, 8080:O, and:O, 5900:O, are:O, common:O, ports:O, used:O, with:O, legitimate:O, protocols:O, ,:O, but:O, can:O, be:O, abused:O, by:O, attackers:O, when:O, they:O, are:O, not:O, secured:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 isn't clear why the attackers scanned for hosts with port 40 open because there isn't a common protocol assigned to this port .' [/INST] [It:O, isn't:O, clear:O, why:O, the:O, attackers:O, scanned:O, for:O, hosts:O, with:O, port:O, 40:O, open:O, because:O, there:O, isn't:O, a:O, common:O, protocol:O, assigned:O, to:O, this:O, port:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Suckfly scanning for common ports , it ’s clear that the group was looking to expand its foothold on the e-commerce company 's internal network .' [/INST] [Based:O, on:O, Suckfly:S-APT, scanning:O, for:O, common:O, ports:O, ,:O, it:O, ’s:O, clear:O, that:O, the:O, group:O, was:O, looking:O, to:O, expand:O, its:O, foothold:O, on:O, the:O, e-commerce:O, company:O, 's:O, internal: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 attackers ’ final step was to exfiltrate data off the victim ’s network and onto Suckfly ’s infrastructure .' [/INST] [The:O, attackers:O, ’:O, final:O, step:O, was:O, to:O, exfiltrate:O, data:O, off:O, the:O, victim:O, ’s:O, network:O, and:O, onto:O, Suckfly:S-APT, ’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 we know that the attackers used the Nidiran back door to steal information about the compromised organization , we do not know if Suckfly was successful in stealing other information .' [/INST] [While:O, we:O, know:O, that:O, the:O, attackers:O, used:O, the:O, Nidiran:S-MAL, back:O, door:O, to:O, steal:O, information:O, about:O, the:O, compromised:O, organization:O, ,:O, we:O, do:O, not:O, know:O, if:O, Suckfly:S-APT, was:O, successful:O, in:O, stealing:O, other:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These steps were taken over a 13-day period , but only on specific days .' [/INST] [These:O, steps:O, were:O, taken:O, over:O, a:O, 13-day:O, period:O, ,:O, but:O, only:O, on:O, specific:O, days:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 tracking what days of the week Suckfly used its hacktools , we discovered that the group was only active Monday through Friday .' [/INST] [While:O, tracking:O, what:O, days:O, of:O, the:O, week:O, Suckfly:S-APT, used:O, its:O, hacktools:O, ,:O, we:O, discovered:O, that:O, the:O, group:O, was:O, only:O, active:O, Monday:S-TIME, through:O, Friday:S-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'There was no activity from the group on weekends .' [/INST] [There:O, was:O, no:O, activity:O, from:O, the:O, group:O, on:O, weekends:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 were able to determine this because the attackers ’ hacktools are command line driven and can provide insight into when the operators are behind keyboards actively working .' [/INST] [We:O, were:O, able:O, to:O, determine:O, this:O, because:O, the:O, attackers:O, ’:O, hacktools:O, are:O, command:O, line:O, driven:O, and:O, can:O, provide:O, insight:O, into:O, when:O, the:O, operators:O, are:O, behind:O, keyboards:O, actively:O, working:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 4 shows the attackers ’ activity levels throughout the week .' [/INST] [Figure:O, 4:O, shows:O, the:O, attackers:O, ’:O, activity:O, levels:O, throughout:O, the:O, week:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly made its malware difficult to analyze to prevent their operations from being detected .' [/INST] [Suckfly:S-APT, made:O, its:O, malware:O, difficult:O, to:O, analyze:O, to:O, prevent:O, their:O, operations:O, from:O, being:O, detected:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , we were able to successfully analyze Suckfly malware samples and extract some of the communications between the Nidiran back door and the Suckfly command and control ( C&C ) domains .' [/INST] [However:O, ,:O, we:O, were:O, able:O, to:O, successfully:O, analyze:O, Suckfly:S-APT, malware:O, samples:O, and:O, extract:O, some:O, of:O, the:O, communications:O, between:O, the:O, Nidiran:S-MAL, back:O, door:O, and:O, the:O, Suckfly:S-APT, command:B-TOOL, and:I-TOOL, control:E-TOOL, (:O, C&C:S-TOOL, ):O, domains:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 analyzed the dropper , which is an executable that contains the following three files :' [/INST] [We:O, analyzed:O, the:O, dropper:S-TOOL, ,:O, which:O, is:O, an:O, executable:O, that:O, contains:O, the:O, following:O, three:O, files:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'dllhost.exe : The main host for the .dll file . iviewers.dll : Used to load encrypted payloads and then decrypt them . msfled : The encrypted payload .' [/INST] [dllhost.exe:S-FILE, ::O, The:O, main:O, host:O, for:O, the:O, .dll:S-FILE, file:O, .:O, iviewers.dll:S-FILE, ::O, Used:O, to:O, load:O, encrypted:O, payloads:O, and:O, then:O, decrypt:O, them:O, .:O, msfled:O, ::O, The:O, encrypted:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'All three files are required for the malware to run correctly .' [/INST] [All:O, three:O, files:O, are:O, required:O, for:O, the:O, malware:O, to:O, run:O, correctly:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malware has been executed , it checks to see if it has a connection to the internet before running .' [/INST] [Once:O, the:O, malware:O, has:O, been:O, executed:O, ,:O, it:O, checks:O, to:O, see:O, if:O, it:O, has:O, a:O, connection:O, to:O, the:O, internet:O, before:O, running:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the connection test is successful , the malware runs and attempts to communicate with the C&C domain over ports 443 and 8443 .' [/INST] [If:O, the:O, connection:O, test:O, is:O, successful:O, ,:O, the:O, malware:O, runs:O, and:O, attempts:O, to:O, communicate:O, with:O, the:O, C&C:S-TOOL, domain:O, over:O, ports:O, 443:O, and:O, 8443:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the samples we analyzed we found the port and C&C information encrypted and hardcoded into the Nidiran malware itself .' [/INST] [In:O, the:O, samples:O, we:O, analyzed:O, we:O, found:O, the:O, port:O, and:O, C&C:S-TOOL, information:O, encrypted:O, and:O, hardcoded:O, into:O, the:O, Nidiran:S-MAL, malware:O, itself:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The key for the RC4 encryption in this sample is the hardcoded string “ h0le ” .' [/INST] [The:O, key:O, for:O, the:O, RC4:S-ENCR, encryption:O, in:O, this:O, sample:O, is:O, the:O, hardcoded:O, string:O, “:O, h0le: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: 'Once the cookie data is decoded , Suckfly has the network name , hostname , IP address , and the victim 's operating system information .' [/INST] [Once:O, the:O, cookie:O, data:O, is:O, decoded:O, ,:O, Suckfly:S-APT, has:O, the:O, network:O, name:O, ,:O, hostname:O, ,:O, IP:S-PROT, address:O, ,:O, and:O, the:O, victim:O, 's:O, operating:O, system:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Information about the C&C infrastructure identified in our analysis of Suckfly activity can be seen in Table 1 .' [/INST] [Information:O, about:O, the:O, C&C:S-TOOL, infrastructure:O, identified:O, in:O, our:O, analysis:O, of:O, Suckfly:S-APT, activity:O, can:O, be:O, seen:O, in:O, Table:O, 1:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Domain Registration IP address Registration date' [/INST] [Domain:O, Registration:O, IP:S-PROT, address:O, Registration:O, date:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'aux.robertstockdill.com [email protected] Unknown April 1 , 2014 . ssl.2upgrades.com [email protected] 176.58.96.234 July 5 , 2014 . bss.pvtcdn.com [email protected] 106.184.1.38 May 19 , 2015 .' [/INST] [aux.robertstockdill.com:S-DOM, [email protected]:S-EMAIL, Unknown:O, April:B-TIME, 1:I-TIME, ,:I-TIME, 2014:E-TIME, .:O, ssl.2upgrades.com:S-DOM, [email protected]:S-EMAIL, 176.58.96.234:S-IP, July:B-TIME, 5:I-TIME, ,:I-TIME, 2014:E-TIME, .:O, bss.pvtcdn.com:S-DOM, [email protected]:S-EMAIL, 106.184.1.38:S-IP, May:B-TIME, 19:I-TIME, ,:I-TIME, 2015:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ssl.microsoft-security-center.com Whoisguard Unknown July 20 , [email protected] 133.242.134.121 August 18 , 2014 .' [/INST] [ssl.microsoft-security-center.com:S-DOM, Whoisguard:S-TOOL, Unknown:O, July:B-TIME, 20:I-TIME, ,:I-TIME, [email protected]:S-EMAIL, 133.242.134.121:S-IP, August:B-TIME, 18:I-TIME, ,:I-TIME, 2014:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'fli.fedora-dns-update.com Whoisguard Unknown Unknown .' [/INST] [fli.fedora-dns-update.com:S-DOM, Whoisguard:S-TOOL, Unknown:O, Unknown:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly targeted one of India ’s largest e-commerce companies , a major Indian shipping company , one of India ’s largest financial organizations , and an IT firm that provides support for India ’s largest stock exchange .' [/INST] [Suckfly:S-APT, targeted:O, one:O, of:O, India:S-LOC, ’s:O, largest:O, e-commerce:O, companies:O, ,:O, a:O, major:O, Indian:O, shipping:O, company:O, ,:O, one:O, of:O, India:S-LOC, ’s:O, largest:O, financial:O, organizations:O, ,:O, and:O, an:O, IT:O, firm:O, that:O, provides:O, support:O, for:O, India:S-LOC, ’s:O, largest:O, stock:O, exchange:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'All of these targets are large corporations that play a major role in India ’s economy .' [/INST] [All:O, of:O, these:O, targets:O, are:O, large:O, corporations:O, that:O, play:O, a:O, major:O, role:O, in:O, India:S-LOC, ’s:O, economy:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 targeting all of these organizations together , Suckfly could have had a much larger impact on India and its economy .' [/INST] [By:O, targeting:O, all:O, of:O, these:O, organizations:O, together:O, ,:O, Suckfly:S-APT, could:O, have:O, had:O, a:O, much:O, larger:O, impact:O, on:O, India:S-LOC, and:O, its:O, economy:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 we don't know the motivations behind the attacks , the targeted commercial organizations , along with the targeted government organizations , may point in this direction .' [/INST] [While:O, we:O, don't:O, know:O, the:O, motivations:O, behind:O, the:O, attacks:O, ,:O, the:O, targeted:O, commercial:O, organizations:O, ,:O, along:O, with:O, the:O, targeted:O, government:O, organizations:O, ,:O, may:O, point:O, in:O, this:O, direction:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly has the resources to develop malware , purchase infrastructure , and conduct targeted attacks for years while staying off the radar of security organizations .' [/INST] [Suckfly:S-APT, has:O, the:O, resources:O, to:O, develop:O, malware:O, ,:O, purchase:O, infrastructure:O, ,:O, and:O, conduct:O, targeted:O, attacks:O, for:O, years:O, while:O, staying:O, off:O, the:O, radar:O, of:O, security: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: 'During this time they were able to steal digital certificates from South Korean companies and launch attacks against Indian and Saudi Arabian government organizations .' [/INST] [During:O, this:O, time:O, they:O, were:O, able:O, to:O, steal:O, digital:O, certificates:O, from:O, South:O, Korean:O, companies:O, and:O, launch:O, attacks:O, against:O, Indian:B-IDTY, and:I-IDTY, Saudi:I-IDTY, Arabian:I-IDTY, government:E-IDTY, 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: 'There is no evidence that Suckfly gained any benefits from attacking the government organizations , but someone else may have benefited from these attacks .' [/INST] [There:O, is:O, no:O, evidence:O, that:O, Suckfly:S-APT, gained:O, any:O, benefits:O, from:O, attacking:O, the:O, government:O, organizations:O, ,:O, but:O, someone:O, else:O, may:O, have:O, benefited:O, from:O, these:O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The nature of the Suckfly attacks suggests that it is unlikely that the threat group orchestrated these attacks on their own .' [/INST] [The:O, nature:O, of:O, the:O, Suckfly:S-APT, attacks:O, suggests:O, that:O, it:O, is:O, unlikely:O, that:O, the:O, threat:O, group:O, orchestrated:O, these:O, attacks:O, on:O, their:O, own:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Suckfly will continue to target organizations in India and similar organizations in other countries in order to provide economic insight to the organization behind Suckfly 's operations .' [/INST] [We:O, believe:O, that:O, Suckfly:S-APT, will:O, continue:O, to:O, target:O, organizations:O, in:O, India:O, and:O, similar:O, organizations:O, in:O, other:O, countries:O, in:O, order:O, to:O, provide:O, economic:O, insight:O, to:O, the:O, organization:O, behind:O, Suckfly:S-APT, 's:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'THE DUKES 7 YEARS OF RUSSIAN CYBERESPIONAGE .' [/INST] [THE:O, DUKES:S-APT, 7:O, YEARS:O, OF:O, RUSSIAN:O, CYBERESPIONAGE:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 TECHNIQUES OF THE DUKES .' [/INST] [TOOLS:O, AND:O, TECHNIQUES:O, OF:O, THE:O, DUKES:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PINCHDUKE : First known activity November 2008 , Most recent known activity Summer 2010 , C&C communication methods HTTP(S) , Known toolset components Multiple loaders , Information stealer .' [/INST] [PINCHDUKE:S-MAL, ::O, First:O, known:O, activity:O, November:B-TIME, 2008:E-TIME, ,:O, Most:O, recent:O, known:O, activity:O, Summer:B-TIME, 2010:E-TIME, ,:O, C&C:S-TOOL, communication:O, methods:O, HTTP(S):S-PROT, ,:O, Known:O, toolset:O, components:O, Multiple:O, loaders:S-TOOL, ,:O, Information:B-TOOL, stealer:E-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 PinchDuke toolset consists of multiple loaders and a core information stealer Trojan .' [/INST] [The:O, PinchDuke:S-MAL, toolset:O, consists:O, of:O, multiple:O, loaders:S-TOOL, and:O, a:O, core:O, information:B-TOOL, stealer:E-TOOL, Trojan:S-MAL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The loaders associated with the PinchDuke toolset have also been observed being used with CosmicDuke .' [/INST] [The:O, loaders:S-TOOL, associated:O, with:O, the:O, PinchDuke:S-MAL, toolset:O, have:O, also:O, been:O, observed:O, being:O, used:O, with:O, CosmicDuke:S-MAL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The PinchDuke information stealer gathers system configuration information , steals user credentials , and collects user files from the compromised host transferring these via HTTP (S ) to a C&C server .' [/INST] [The:O, PinchDuke:S-MAL, information:B-TOOL, stealer:E-TOOL, gathers:O, system:O, configuration:O, information:O, ,:O, steals:O, user:O, credentials:O, ,:O, and:O, collects:O, user:O, files:O, from:O, the:O, compromised:O, host:O, transferring:O, these:O, via:O, HTTP:B-PROT, (S:I-PROT, ):E-PROT, to:O, a:O, C&C:S-TOOL, 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: 'We believe PinchDuke ’s credential stealing functionality is based on the source code of the Pinch credential stealing malware ( also known as LdPinch ) that was developed in the early 2000s and has later been openly distributed on underground forums .' [/INST] [We:O, believe:O, PinchDuke:S-MAL, ’s:O, credential:O, stealing:O, functionality:O, is:O, based:O, on:O, the:O, source:O, code:O, of:O, the:O, Pinch:S-TOOL, credential:O, stealing:O, malware:O, (:O, also:O, known:O, as:O, LdPinch:S-MAL, ):O, that:O, was:O, developed:O, in:O, the:O, early:B-TIME, 2000s:E-TIME, and:O, has:O, later:O, been:O, openly:O, distributed:O, on:O, underground:O, forums:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Credentials targeted by PinchDuke include ones associated with the following software or services : The Bat! , Yahoo! , Mail.ru , Passport.Net , Google Talk , Netscape Navigator , Mozilla Firefox , Mozilla Thunderbird , Internet Explorer , Microsoft Outlook , WinInet Credential Cache , Lightweight Directory Access Protocol ( LDAP ) .' [/INST] [Credentials:O, targeted:O, by:O, PinchDuke:S-MAL, include:O, ones:O, associated:O, with:O, the:O, following:O, software:O, or:O, services:O, ::O, The:O, Bat!:S-TOOL, ,:O, Yahoo!:S-TOOL, ,:O, Mail.ru:S-DOM, ,:O, Passport.Net:S-DOM, ,:O, Google:B-TOOL, Talk:E-TOOL, ,:O, Netscape:B-TOOL, Navigator:E-TOOL, ,:O, Mozilla:B-TOOL, Firefox:E-TOOL, ,:O, Mozilla:B-TOOL, Thunderbird:E-TOOL, ,:O, Internet:B-TOOL, Explorer:E-TOOL, ,:O, Microsoft:S-IDTY, Outlook:S-TOOL, ,:O, WinInet:B-TOOL, Credential:I-TOOL, Cache:E-TOOL, ,:O, Lightweight:B-TOOL, Directory:I-TOOL, Access:I-TOOL, Protocol:E-TOOL, (:O, LDAP:S-TOOL, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PinchDuke will also search for files that have been created within a predefined timeframe and whose file extension is present in a predefined list .' [/INST] [PinchDuke:S-MAL, will:O, also:O, search:O, for:O, files:O, that:O, have:O, been:O, created:O, within:O, a:O, predefined:O, timeframe:O, and:O, whose:O, file:O, extension:O, is:O, present:O, in:O, a:O, predefined:O, list:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 a curiosity , most PinchDuke samples contain a Russian language error message : “ There is an error in the module ’s name ! The length of the data section name must be 4 bytes ” .' [/INST] [As:O, a:O, curiosity:O, ,:O, most:O, PinchDuke:S-MAL, samples:O, contain:O, a:O, Russian:O, language:O, error:O, message:O, ::O, “:O, There:O, is:O, an:O, error:O, in:O, the:O, module:O, ’s:O, name:O, !:O, The:O, length:O, of:O, the:O, data:O, section:O, name:O, must:O, be:O, 4:O, bytes: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: 'GEMINIDUKE : First known activity January 2009 , Most recent known activity December 2012 , C&C communication methods HTTP(S) , Known toolset components Loader , Information stealer , Multiple persistence components .' [/INST] [GEMINIDUKE:S-MAL, ::O, First:O, known:O, activity:O, January:B-TIME, 2009:E-TIME, ,:O, Most:O, recent:O, known:O, activity:O, December:B-TIME, 2012:E-TIME, ,:O, C&C:S-TOOL, communication:O, methods:O, HTTP(S):S-PROT, ,:O, Known:O, toolset:O, components:O, Loader:S-TOOL, ,:O, Information:B-TOOL, stealer:E-TOOL, ,:O, Multiple:B-TOOL, persistence:I-TOOL, components:E-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 GeminiDuke toolset consists of a core information stealer , a loader and multiple persistencerelated components .' [/INST] [The:O, GeminiDuke:S-MAL, toolset:O, consists:O, of:O, a:O, core:O, information:B-TOOL, stealer:E-TOOL, ,:O, a:O, loader:S-TOOL, and:O, multiple:B-TOOL, persistencerelated:I-TOOL, components:E-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: 'Unlike CosmicDuke and PinchDuke , GeminiDuke primarily collects information on the victim computer ’s configuration .' [/INST] [Unlike:O, CosmicDuke:S-MAL, and:O, PinchDuke:S-MAL, ,:O, GeminiDuke:S-MAL, primarily:O, collects:O, information:O, on:O, the:O, victim:O, computer:O, ’s:O, configuration:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 collected details include : Local user accounts , Network settings , Internet proxy settings , Installed drivers , Running processes , Programs previously executed by users , Programs and services configured to automatically run at startup , Values of environment variables , Files and folders present in any users home folder , Files and folders present in any users My Documents , Programs installed to the Program Files folder , Recently accessed files , folders and programs .' [/INST] [The:O, collected:O, details:O, include:O, ::O, Local:O, user:O, accounts:O, ,:O, Network:O, settings:O, ,:O, Internet:O, proxy:O, settings:O, ,:O, Installed:O, drivers:O, ,:O, Running:O, processes:O, ,:O, Programs:O, previously:O, executed:O, by:O, users:O, ,:O, Programs:O, and:O, services:O, configured:O, to:O, automatically:O, run:O, at:O, startup:O, ,:O, Values:O, of:O, environment:O, variables:O, ,:O, Files:O, and:O, folders:O, present:O, in:O, any:O, users:O, home:O, folder:O, ,:O, Files:O, and:O, folders:O, present:O, in:O, any:O, users:O, My:O, Documents:O, ,:O, Programs:O, installed:O, to:O, the:O, Program:O, Files:O, folder:O, ,:O, Recently:O, accessed:O, files:O, ,:O, folders:O, and:O, programs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As is common for malware , the GeminiDuke infostealer uses a mutex to ensure that only one instance of itself is running at a time .' [/INST] [As:O, is:O, common:O, for:O, malware:O, ,:O, the:O, GeminiDuke:S-MAL, infostealer:S-TOOL, uses:O, a:O, mutex:O, to:O, ensure:O, that:O, only:O, one:O, instance:O, of:O, itself:O, is:O, running:O, at:O, a: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: 'What is less common is that the name used for the mutex is often a timestamp .' [/INST] [What:O, is:O, less:O, common:O, is:O, that:O, the:O, name:O, used:O, for:O, the:O, mutex:O, is:O, often:O, a:O, timestamp:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 these timestamps to be generated during the compilation of GeminiDuke from the local time of the computer being used .' [/INST] [We:O, believe:O, these:O, timestamps:O, to:O, be:O, generated:O, during:O, the:O, compilation:O, of:O, GeminiDuke:S-MAL, from:O, the:O, local:O, time:O, of:O, the:O, computer:O, being:O, used:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Comparing the GeminiDuke compilation timestamps , which always reference the time in the UTC+0 timezone , with the local time timestamps used as mutex names , and adjusting for the presumed timezone difference , we note that all of the mutex names reference a time and date that is within seconds of the respective sample ’s compilation timestamp .' [/INST] [Comparing:O, the:O, GeminiDuke:S-MAL, compilation:O, timestamps:O, ,:O, which:O, always:O, reference:O, the:O, time:O, in:O, the:O, UTC+0:O, timezone:O, ,:O, with:O, the:O, local:O, time:O, timestamps:O, used:O, as:O, mutex:O, names:O, ,:O, and:O, adjusting:O, for:O, the:O, presumed:O, timezone:O, difference:O, ,:O, we:O, note:O, that:O, all:O, of:O, the:O, mutex:O, names:O, reference:O, a:O, time:O, and:O, date:O, that:O, is:O, within:O, seconds:O, of:O, the:O, respective:O, sample:O, ’s:O, compilation:O, timestamp:O, .:O] </s> |
Subsets and Splits