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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: 'While the machine is in isolation , SOC personnel can direct the infected machine to collect live investigation data , such as the DNS cache or security event logs , which they can use to verify alerts , assess the state of the intrusion , and support follow-up actions .' [/INST] [While:O, the:O, machine:O, is:O, in:O, isolation:O, ,:O, SOC:B-Org, personnel:I-Org, can:O, direct:O, the:O, infected:O, machine:O, to:O, collect:O, live:O, investigation:O, data:O, ,:O, such:O, as:O, the:O, DNS:O, cache:O, or:O, security:O, event:O, logs:O, ,:O, which:O, they:O, can:O, use:O, to:O, verify:B-Purp, alerts:I-Purp, ,:O, assess:O, the:O, state:O, of:O, the:O, intrusion:O, ,:O, and:O, support:O, follow-up:O, actions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 article is an attempt to share this experience with other experts , particularly the IT security specialists in companies and financial institutions that increasingly find themselves the targets of cyber-attacks .' [/INST] [This:O, article:O, is:O, an:O, attempt:O, to:O, share:O, this:O, experience:O, with:O, other:O, experts:O, ,:O, particularly:O, the:O, IT:B-Idus, security:O, specialists:O, in:O, companies:O, and:O, financial:B-Org, institutions:I-Org, that:O, increasingly:O, find:O, themselves:O, the:O, targets:O, of:O, cyber-attacks: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: 'In most cases , the attackers only had to infect the computer on which the RBS software was installed in order to start stealing the cash .' [/INST] [In:O, most:O, cases:O, ,:O, the:O, attackers:O, only:O, had:O, to:O, infect:O, the:O, computer:O, on:O, which:O, the:O, RBS:O, software:O, was:O, installed:O, in:O, order:O, to:O, start:O, stealing:O, the:O, cash:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 soon able to help investigate another incident involving Lurk .' [/INST] [We:O, were:O, soon:O, able:O, to:O, help:O, investigate:O, another:O, incident:O, involving:O, Lurk:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This event significantly affected the Russian cybercriminal world as the gang had stolen hundreds of millions of rubles during a few years of activity , and was considered a , leader , among cybercriminals .' [/INST] [This:O, event:O, significantly:O, affected:O, the:O, Russian:B-Area, cybercriminal:I-Area, world:O, as:O, the:O, gang:O, had:O, stolen:O, hundreds:O, of:O, millions:O, of:O, rubles:O, during:O, a:O, few:O, years:O, of:O, activity:B-OffAct, ,:O, and:O, was:O, considered:O, a:O, ,:O, leader:O, ,:O, among:O, cybercriminals:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Russia , there were several relatively large cybercriminal groups engaged in financial theft via attacks on RBS .' [/INST] [In:O, Russia:O, ,:O, there:O, were:O, several:O, relatively:O, large:O, cybercriminal:O, groups:O, engaged:O, in:O, financial:B-Purp, theft:I-Purp, via:O, attacks:B-OffAct, on:O, RBS:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 April 2013 , a year after we found the , bodiless , Lurk module , the Russian cybercriminal underground exploited several families of malicious software that specialized in attacks on banking software .' [/INST] [In:O, April:B-Time, 2013:I-Time, ,:O, a:O, year:O, after:O, we:O, found:O, the:O, ,:O, bodiless:O, ,:O, Lurk:B-Tool, module:I-Tool, ,:O, the:O, Russian:O, cybercriminal:O, underground:O, exploited:O, several:O, families:O, of:O, malicious:O, software:O, that:O, specialized:O, in:O, attacks:B-OffAct, on:O, banking:O, software:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Through the information exchanges used by people in the security industry , we learned that several Russian banks were struggling with malicious programs created specifically to attack a particular type of legal banking software .' [/INST] [Through:O, the:O, information:O, exchanges:O, used:O, by:O, people:O, in:O, the:O, security:B-Idus, industry:I-Idus, ,:O, we:O, learned:O, that:O, several:O, Russian:O, banks:B-Idus, were:O, struggling:O, with:O, malicious:O, programs:O, created:O, specifically:O, to:O, attack:O, a:O, particular:O, type:O, of:O, legal:O, banking:O, software:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 it did , the malware downloaded additional modules , including ones allowing for the automatic creation of unauthorized payment orders , changing details in legal payment orders , etc .' [/INST] [If:O, it:O, did:O, ,:O, the:O, malware:O, downloaded:B-Features, additional:I-Features, modules:I-Features, ,:O, including:O, ones:O, allowing:B-Features, for:I-Features, the:I-Features, automatic:I-Features, creation:I-Features, of:O, unauthorized:O, payment:O, orders:O, ,:O, changing:B-Features, details:I-Features, in:O, legal:O, payment:O, orders:O, ,:O, etc:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 far as we can judge from the data we have , in 2014 the criminal group behind Lurk seriously reduced its activity and , lived from hand to mouth , , attacking anyone they could , including ordinary users .' [/INST] [As:O, far:O, as:O, we:O, can:O, judge:O, from:O, the:O, data:O, we:O, have:O, ,:O, in:O, 2014:B-Time, the:O, criminal:O, group:O, behind:O, Lurk:B-Tool, seriously:O, reduced:O, its:O, activity:B-OffAct, and:O, ,:O, lived:O, from:O, hand:O, to:O, mouth:O, ,:O, ,:O, attacking:O, anyone:O, they:O, could:O, ,:O, including:O, ordinary:O, users:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2015 , Kaspersky Lab 's Global Research and Analysis Team ( GReAT ) released its research into the Carbanak campaign targeting financial institutions .' [/INST] [In:O, February:B-Time, 2015:I-Time, ,:O, Kaspersky:B-SecTeam, Lab:I-SecTeam, 's:O, Global:O, Research:O, and:O, Analysis:O, Team:O, (:O, GReAT:B-SecTeam, ):O, released:O, its:O, research:O, into:O, the:O, Carbanak:B-OffAct, campaign:I-OffAct, targeting:O, financial:B-Org, institutions:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since 2011 , the robbers had allegedly been stealing money directly from bank accounts in Russia and other countries of the Commonwealth of Independent States ( CIS ) by using a Trojan called Lurk .' [/INST] [Since:O, 2011:B-Time, ,:O, the:O, robbers:O, had:O, allegedly:O, been:O, stealing:B-Purp, money:I-Purp, directly:O, from:O, bank:O, accounts:O, in:O, Russia:B-Area, and:O, other:O, countries:O, of:O, the:O, Commonwealth:O, of:O, Independent:O, States:O, (:O, CIS:O, ):O, by:O, using:O, a:O, Trojan:B-Tool, called:O, Lurk: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: 'which they launched targeted attacks against Russian banks , businesses and media companies .' [/INST] [which:O, they:O, launched:O, targeted:B-OffAct, attacks:I-OffAct, against:O, Russian:B-Area, banks:B-Idus, ,:O, businesses:B-Idus, and:O, media:B-Org, companies:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Lurk uses a form of steganography : that's where one file is hidden away inside another file of a completely different sort , such as an image , audio , or video file .' [/INST] [Lurk:B-Tool, uses:O, a:O, form:O, of:O, steganography:O, ::O, that's:O, where:O, one:O, file:O, is:O, hidden:B-Features, away:I-Features, inside:I-Features, another:I-Features, file:I-Features, of:O, a:O, completely:O, different:O, sort:O, ,:O, such:O, as:O, an:O, image:O, ,:O, audio:O, ,:O, or:O, video:O, file:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 latest version of Madi also has the ability to monitor the Russian social network Vkontakte ( VK ) along with the Jabber messaging platform to look for users who visit websites that contain words like , USA , , , Skype , , and , gov , .' [/INST] [The:O, latest:O, version:O, of:O, Madi:O, also:O, has:O, the:O, ability:O, to:O, monitor:O, the:O, Russian:B-Area, social:O, network:O, Vkontakte:O, (:O, VK:O, ):O, along:O, with:O, the:O, Jabber:O, messaging:O, platform:O, to:O, look:O, for:O, users:O, who:O, visit:O, websites:O, that:O, contain:O, words:O, like:O, ,:O, USA:O, ,:O, ,:O, ,:O, Skype:O, ,:O, ,:O, and:O, ,:O, gov: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: 'Madi was found capturing computer screens , recording audio and stealing screenshots , keystrokes , documents and e-mail correspondence from , Middle Eastern critical infrastructure engineering firms , government agencies , financial houses and academia .' [/INST] [Madi:O, was:O, found:O, capturing:O, computer:O, screens:O, ,:O, recording:O, audio:O, and:O, stealing:O, screenshots:O, ,:O, keystrokes:O, ,:O, documents:O, and:O, e-mail:B-Way, correspondence:O, from:O, ,:O, Middle:O, Eastern:O, critical:B-Org, infrastructure:I-Org, engineering:I-Org, firms:I-Org, ,:O, government:B-Org, agencies:I-Org, ,:O, financial:B-Idus, houses:I-Idus, and:O, academia:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A timeline of new activity can be scoped out for the group , with the greatest number of related downloaders created by the developers in December 2011 , Feb and March of 2012 , followed by June of 2012 .' [/INST] [A:O, timeline:O, of:O, new:O, activity:B-OffAct, can:O, be:O, scoped:O, out:O, for:O, the:O, group:O, ,:O, with:O, the:O, greatest:O, number:O, of:O, related:O, downloaders:O, created:O, by:O, the:O, developers:O, in:O, December:B-Time, 2011:I-Time, ,:O, Feb:B-Time, and:O, March:B-Time, of:I-Time, 2012:I-Time, ,:O, followed:O, by:O, June:B-Time, of:I-Time, 2012: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: 'it reports to was created on August 10 , 2011 .' [/INST] [it:O, reports:O, to:O, was:O, created:O, on:O, August:B-Time, 10:I-Time, ,:O, 2011: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: 'Since at least 2008 , The Lamberts have used multiple sophisticated attack tools against high-profile victims .' [/INST] [Since:O, at:O, least:O, 2008:B-Time, ,:O, The:O, Lamberts:B-Tool, have:O, used:O, multiple:O, sophisticated:O, attack:O, tools:O, against:O, high-profile:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Longhorn , which we internally refer to as , The Lamberts , , first came to the attention of the ITSec community in 2014 , when our colleagues from FireEye discovered an attack using a zero day vulnerability ( CVE-2014-4148 ) .' [/INST] [Longhorn:O, ,:O, which:O, we:O, internally:O, refer:O, to:O, as:O, ,:O, The:B-HackOrg, Lamberts:I-HackOrg, ,:O, ,:O, first:O, came:O, to:O, the:O, attention:O, of:O, the:O, ITSec:B-SecTeam, community:I-SecTeam, in:O, 2014:B-Time, ,:O, when:O, our:O, colleagues:O, from:O, FireEye:B-SecTeam, discovered:O, an:O, attack:B-OffAct, using:O, a:O, zero:B-Exp, day:I-Exp, vulnerability:I-Exp, (:O, CVE-2014-4148:B-Exp, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attack leveraged malware we called ' BlackLambert ' , which was used to target a high profile organization in Europe .' [/INST] [The:O, attack:B-OffAct, leveraged:O, malware:O, we:O, called:O, ':O, BlackLambert:B-Tool, ':O, ,:O, which:O, was:O, used:O, to:O, target:O, a:O, high:B-Org, profile:I-Org, organization:I-Org, in:O, Europe:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Their arsenal includes network-driven backdoors , several generations of modular backdoors , harvesting tools , and wipers .' [/INST] [Their:O, arsenal:O, includes:O, network-driven:B-Tool, backdoors:I-Tool, ,:O, several:O, generations:O, of:O, modular:B-Tool, backdoors:I-Tool, ,:O, harvesting:B-Tool, tools:I-Tool, ,:O, and:O, wipers:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The first time the Lambert family malware was uncovered publicly was in October 2014 , when FireEye posted a blog about a zero day exploit ( CVE-2014-4148 ) used in the wild .' [/INST] [The:O, first:O, time:O, the:O, Lambert:B-Tool, family:I-Tool, malware:I-Tool, was:O, uncovered:O, publicly:O, was:O, in:O, October:B-Time, 2014:I-Time, ,:O, when:O, FireEye:B-SecTeam, posted:O, a:O, blog:O, about:O, a:O, zero:B-Exp, day:I-Exp, exploit:I-Exp, (:O, CVE-2014-4148:B-Exp, ):O, used:O, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Interestingly , while most Blue Lambert variants have version numbers in the range of 2.x , Green Lambert is mostly in 3.x versions .' [/INST] [Interestingly:O, ,:O, while:O, most:O, Blue:B-Tool, Lambert:I-Tool, variants:O, have:O, version:O, numbers:O, in:O, the:O, range:O, of:O, 2.x:O, ,:O, Green:B-Tool, Lambert:I-Tool, is:O, mostly:O, in:O, 3.x:O, versions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 investigating one of these infections involving White Lambert ( network-driven implant ) and Blue Lambert ( active implant ) , we found yet another family of tools that appear to be related .' [/INST] [While:O, investigating:O, one:O, of:O, these:O, infections:O, involving:O, White:B-Tool, Lambert:I-Tool, (:O, network-driven:O, implant:O, ):O, and:O, Blue:B-Tool, Lambert:I-Tool, (:O, active:O, implant:O, ):O, ,:O, we:O, found:O, yet:O, another:O, family:O, of:O, tools:O, that:O, appear:O, to:O, be:O, related:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Versions of this particular orchestrator were found on other victims , together with White Lambert samples , indicating a close relationship between the White and Pink Lambert malware families .' [/INST] [Versions:O, of:O, this:O, particular:O, orchestrator:O, were:O, found:O, on:O, other:O, victims:O, ,:O, together:O, with:O, White:B-Tool, Lambert:I-Tool, samples:I-Tool, ,:O, indicating:O, a:O, close:O, relationship:O, between:O, the:O, White:B-Tool, and:O, Pink:B-Tool, Lambert:I-Tool, malware:I-Tool, families: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: 'While in most cases the infection vector remains unknown , the high profile attack from 2014 used a very complex Windows TTF zero-day exploit ( CVE-2014-4148 ) .' [/INST] [While:O, in:O, most:O, cases:O, the:O, infection:O, vector:O, remains:O, unknown:O, ,:O, the:O, high:B-OffAct, profile:I-OffAct, attack:I-OffAct, from:O, 2014:B-Time, used:O, a:O, very:O, complex:O, Windows:O, TTF:O, zero-day:B-Exp, exploit:I-Exp, (:O, CVE-2014-4148:B-Exp, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 migration activity was last observed in October 2016 .' [/INST] [This:O, migration:B-OffAct, activity:I-OffAct, was:O, last:O, observed:O, in:O, October:B-Time, 2016:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Most of the Blue and Green Lambert samples have two C&C servers hardcoded in their configuration block : a hostname and an IP address .' [/INST] [Most:O, of:O, the:O, Blue:B-Tool, and:I-Tool, Green:I-Tool, Lambert:I-Tool, samples:I-Tool, have:O, two:O, C&C:O, servers:O, hardcoded:O, in:O, their:O, configuration:O, block:O, ::O, a:O, hostname:O, and:O, an:O, IP: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: 'Some of the known filenames for Gray Lambert are mwapi32.dll and poolstr.dll – it should be pointed though that the filenames used by the Lamberts are generally unique and have never been used twice .' [/INST] [Some:O, of:O, the:O, known:O, filenames:O, for:O, Gray:B-Tool, Lambert:I-Tool, are:O, mwapi32.dll:B-Tool, and:O, poolstr.dll:B-Tool, –:O, it:O, should:O, be:O, pointed:O, though:O, that:O, the:O, filenames:O, used:O, by:O, the:O, Lamberts:B-Tool, are:O, generally:O, unique:O, and:O, have:O, never:O, been:O, used:O, twice:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Black Lambert was seen only briefly and we assume it was , retired , from the arsenal after being discovered by FireEye in 2014 .' [/INST] [Black:B-Tool, Lambert:I-Tool, was:O, seen:O, only:O, briefly:O, and:O, we:O, assume:O, it:O, was:O, ,:O, retired:O, ,:O, from:O, the:O, arsenal:O, after:O, being:O, discovered:O, by:O, FireEye:B-SecTeam, in:O, 2014:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Lamberts toolkit spans across several years , with most activity occurring in 2013 and 2014 .' [/INST] [The:O, Lamberts:B-Tool, toolkit:I-Tool, spans:O, across:O, several:O, years:O, ,:O, with:O, most:O, activity:B-OffAct, occurring:O, in:O, 2013:B-Time, and:O, 2014:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To further exemplify the proficiency of the attackers leveraging the Lamberts toolkit , deployment of Black Lambert included a rather sophisticated TTF zero day exploit , CVE-2014-4148 .' [/INST] [To:O, further:O, exemplify:O, the:O, proficiency:O, of:O, the:O, attackers:O, leveraging:O, the:O, Lamberts:B-Tool, toolkit:I-Tool, ,:O, deployment:O, of:O, Black:B-Tool, Lambert:I-Tool, included:O, a:O, rather:O, sophisticated:O, TTF:O, zero:B-Exp, day:I-Exp, exploit:I-Exp, ,:O, CVE-2014-4148: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: 'Taking that into account , we classify the Lamberts as the same level of complexity as Regin , ProjectSauron , Equation and Duqu2 , which makes them one of the most sophisticated cyber espionage toolkits we have ever analysed .' [/INST] [Taking:O, that:O, into:O, account:O, ,:O, we:O, classify:O, the:O, Lamberts:B-Tool, as:O, the:O, same:O, level:O, of:O, complexity:O, as:O, Regin:B-Tool, ,:O, ProjectSauron:B-Tool, ,:O, Equation:B-Tool, and:O, Duqu2:B-Tool, ,:O, which:O, makes:O, them:O, one:O, of:O, the:O, most:O, sophisticated:O, cyber:O, espionage:O, toolkits:O, we:O, have:O, ever:O, analysed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Taking that into account , we classify the Lamberts as the same level of complexity as Regin , ProjectSauron , Equation and Duqu2 , which makes them one of the most sophisticated cyber espionage toolkits we have ever analysed .' [/INST] [Taking:O, that:O, into:O, account:O, ,:O, we:O, classify:O, the:O, Lamberts:B-Tool, as:O, the:O, same:O, level:O, of:O, complexity:O, as:O, Regin:B-Tool, ,:O, ProjectSauron:B-Tool, ,:O, Equation:B-Tool, and:O, Duqu2:B-Tool, ,:O, which:O, makes:O, them:O, one:O, of:O, the:O, most:O, sophisticated:O, cyber:O, espionage:O, toolkits:O, we:O, have:O, ever:O, analysed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 January 15 , Confiant exposed the activity of the Zirconium group , spreading malicious ads via a network of fake ad agencies through 2017 , in what amounted to the largest malvertising campaign of recent times .' [/INST] [On:O, January:B-Time, 15:I-Time, ,:O, Confiant:O, exposed:O, the:O, activity:B-OffAct, of:O, the:O, Zirconium:O, group:O, ,:O, spreading:O, malicious:O, ads:O, via:O, a:O, network:O, of:O, fake:B-Org, ad:I-Org, agencies:I-Org, through:O, 2017:B-Time, ,:O, in:O, what:O, amounted:O, to:O, the:O, largest:O, malvertising:O, campaign:B-OffAct, of:O, recent:O, times:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cadelle , uses Backdoor.Cadelspy .' [/INST] [Cadelle:O, ,:O, uses:O, Backdoor.Cadelspy: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: 'Symantec telemetry identified Cadelle and Chafer activity dating from as far back as July 2014 , however , it's likely that activity began well before this date .' [/INST] [Symantec:B-SecTeam, telemetry:O, identified:O, Cadelle:O, and:O, Chafer:B-OffAct, activity:I-OffAct, dating:O, from:O, as:O, far:O, back:O, as:O, July:B-Time, 2014:I-Time, ,:O, however:O, ,:O, it's:O, likely:O, that:O, activity:B-OffAct, began:O, well:O, before:O, this:O, date:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Chafer , uses Backdoor.Remexi .' [/INST] [Chafer:O, ,:O, uses:O, Backdoor.Remexi: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: 'Cadelle 's threats are capable of opening a back door and stealing information from victims' computers .' [/INST] [Cadelle:O, 's:O, threats:O, are:O, capable:O, of:O, opening:O, a:O, back:O, door:O, and:O, stealing:B-Purp, information:I-Purp, from:O, victims':O, computers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Chafer , uses Backdoor.Remexi.B .' [/INST] [Chafer:O, ,:O, uses:O, Backdoor.Remexi.B: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: 'registrant information points to activity possibly as early as 2011 .' [/INST] [registrant:O, information:O, points:O, to:O, activity:B-OffAct, possibly:O, as:O, early:O, as:O, 2011: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: 'These threats are capable of opening a back door and stealing information from victims' computers .' [/INST] [These:O, threats:O, are:O, capable:O, of:O, opening:O, a:O, back:O, door:O, and:O, stealing:B-Purp, information:I-Purp, from:O, victims':O, computers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'executable compilation times suggest early 2012 .' [/INST] [executable:O, compilation:O, times:O, suggest:O, early:O, 2012: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: 'It's unclear how Cadelle infects its targets with Backdoor.Cadelspy .' [/INST] [It's:O, unclear:O, how:O, Cadelle:O, infects:O, its:O, targets:O, with:O, Backdoor.Cadelspy:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The affected organizations we were able to identify are mostly based in the Middle East .' [/INST] [The:O, affected:O, organizations:O, we:O, were:O, able:O, to:O, identify:O, are:O, mostly:O, based:O, in:O, the:O, Middle:B-Area, East:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'one organization is located in the US .' [/INST] [one:O, organization:O, is:O, located:O, in:O, the:O, US:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'There are a number of factors in these groups' campaigns that suggests that the attackers may be based in Iran .' [/INST] [There:O, are:O, a:O, number:O, of:O, factors:O, in:O, these:O, groups':O, campaigns:B-OffAct, that:O, suggests:O, that:O, the:O, attackers:O, may:O, be:O, based:O, in:O, Iran:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Remexi is a basic back door Trojan that allows attackers to open a remote shell on the computer and execute commands .' [/INST] [Remexi:B-Tool, is:O, a:O, basic:O, back:O, door:O, Trojan:O, that:O, allows:O, attackers:O, to:O, open:O, a:O, remote:O, shell:O, on:O, the:O, computer:O, and:O, execute:O, commands:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Their primary interest appears to be gathering intelligence .' [/INST] [Their:O, primary:O, interest:O, appears:O, to:O, be:O, gathering:O, intelligence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 stands in opposition to the data gathered from export timestamps and C&C domain activity that points to Green Lambert being considerably older than the Blue variant .' [/INST] [This:O, stands:O, in:O, opposition:O, to:O, the:O, data:O, gathered:O, from:O, export:O, timestamps:O, and:O, C&C:B-OffAct, domain:I-OffAct, activity:I-OffAct, that:O, points:O, to:O, Green:B-Tool, Lambert:I-Tool, being:O, considerably:O, older:O, than:O, the:O, Blue:B-Tool, variant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'security policy in the Eastern Europe and South Caucasus regions .' [/INST] [security:O, policy:O, in:O, the:O, Eastern:B-Area, Europe:B-Area, and:O, South:O, Caucasus: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: 'Callisto Group via credential phishingThese spear phishing emails were crafted to appear highly convincing , including being sent from legitimate email accounts suspected to have been previously compromised by the Callisto Group via credential phishing .' [/INST] [Callisto:O, Group:O, via:O, credential:O, phishingThese:O, spear:B-Way, phishing:I-Way, emails:I-Way, were:O, crafted:O, to:O, appear:O, highly:O, convincing:O, ,:O, including:O, being:O, sent:O, from:O, legitimate:O, email:O, accounts:O, suspected:O, to:O, have:O, been:O, previously:O, compromised:O, by:O, the:O, Callisto:O, Group:O, via:O, credential:O, phishing:B-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In early 2016 the Callisto Group began sending highly targeted spear phishing emails with malicious attachments that contained , as their final payload , the , Scout , malware tool from the HackingTeam RCS Galileo platform .' [/INST] [In:O, early:O, 2016:B-Time, the:O, Callisto:O, Group:O, began:O, sending:O, highly:O, targeted:O, spear:B-Way, phishing:I-Way, emails:I-Way, with:O, malicious:B-SamFile, attachments:I-SamFile, that:O, contained:O, ,:O, as:O, their:O, final:O, payload:O, ,:O, the:O, ,:O, Scout:B-Tool, ,:O, malware:O, tool:O, from:O, the:O, HackingTeam:O, RCS:O, Galileo:O, platform:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 spear phishing emails were crafted to appear highly convincing , including being sent from legitimate email accounts suspected to have been previously compromised by the Callisto Group via credential phishing .' [/INST] [These:O, spear:B-Way, phishing:I-Way, emails:I-Way, were:O, crafted:O, to:O, appear:O, highly:O, convincing:O, ,:O, including:O, being:O, sent:O, from:O, legitimate:O, email:O, accounts:O, suspected:O, to:O, have:O, been:O, previously:O, compromised:O, by:O, the:O, Callisto:O, Group:O, via:O, credential:O, phishing:B-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Callisto Group appears to be intelligence gathering related to European foreign and security policy .' [/INST] [Callisto:O, Group:O, appears:O, to:O, be:O, intelligence:B-Purp, gathering:I-Purp, related:O, to:O, European:O, foreign:O, and:O, security:O, policy:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'some indications of loosely linked activity dating back to at least 2013 .' [/INST] [some:O, indications:O, of:O, loosely:O, linked:O, activity:B-OffAct, dating:O, back:O, to:O, at:O, least:O, 2013:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In October 2015 , the Callisto Group was observed sending targeted credential phishing emails .' [/INST] [In:O, October:B-Time, 2015:I-Time, ,:O, the:O, Callisto:B-HackOrg, Group:I-HackOrg, was:O, observed:O, sending:O, targeted:O, credential:O, phishing:B-Way, emails:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In early 2016 , the Callisto Group was observed sending targeted spear phishing emails .' [/INST] [In:O, early:O, 2016:B-Time, ,:O, the:O, Callisto:O, Group:O, was:O, observed:O, sending:O, targeted:O, spear:B-Way, phishing:I-Way, emails:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malicious attachments purported to be invitations or drafts of the agenda for the conference .' [/INST] [The:O, malicious:B-SamFile, attachments:I-SamFile, purported:O, to:O, be:O, invitations:B-Tool, or:O, drafts:B-Tool, of:I-Tool, the:I-Tool, agenda:I-Tool, for:O, the:O, conference:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 analysis of Callisto Group 's usage of RCS Galileo , we believe the Callisto Group did not utilize the leaked RCS Galileo source code , but rather used the leaked readymade installers to set up their own installation of the RCS Galileo platform .' [/INST] [Based:O, on:O, our:O, analysis:O, of:O, Callisto:B-HackOrg, Group:I-HackOrg, 's:O, usage:O, of:O, RCS:O, Galileo:O, ,:O, we:O, believe:O, the:O, Callisto:O, Group:O, did:O, not:O, utilize:O, the:O, leaked:O, RCS:O, Galileo:O, source:O, code:O, ,:O, but:O, rather:O, used:O, the:O, leaked:O, readymade:O, installers:B-Tool, to:O, set:B-Purp, up:I-Purp, their:I-Purp, own:I-Purp, installation:I-Purp, of:O, the:O, RCS:O, Galileo:O, platform:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 known spear phishing attacks by the Callisto Group , they employed the , Scout , malware tool from the RCS Galileo platform .' [/INST] [In:O, the:O, known:O, spear:B-OffAct, phishing:I-OffAct, attacks:I-OffAct, by:O, the:O, Callisto:B-HackOrg, Group:I-HackOrg, ,:O, they:O, employed:O, the:O, ,:O, Scout:B-Tool, ,:O, malware:O, tool:O, from:O, the:O, RCS:O, Galileo:B-HackOrg, platform:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We are confident the Callisto Group used this type of access to a target 's email account for the purposes of sending spear phishing to other targets .' [/INST] [We:O, are:O, confident:O, the:O, Callisto:O, Group:O, used:O, this:O, type:O, of:O, access:O, to:O, a:O, target:O, 's:O, email:O, account:O, for:O, the:O, purposes:O, of:O, sending:O, spear:B-Way, phishing:I-Way, to:O, other: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: 'If a target of the spear phishing described in , Phase 2 : malware deployment , opened the email attachment and , crucially , clicked on the icon in the attachment , this would lead to the target 's computer becoming infected with the , Scout , malware tool from the RCS Galileo platform .' [/INST] [If:O, a:O, target:O, of:O, the:O, spear:B-Way, phishing:I-Way, described:O, in:O, ,:O, Phase:O, 2:O, ::O, malware:O, deployment:O, ,:O, opened:O, the:O, email:B-Way, attachment:I-Way, and:O, ,:O, crucially:O, ,:O, clicked:O, on:O, the:O, icon:O, in:O, the:O, attachment:O, ,:O, this:O, would:O, lead:O, to:O, the:O, target:O, 's:O, computer:O, becoming:O, infected:O, with:O, the:O, ,:O, Scout:B-Tool, ,:O, malware:O, tool:O, from:O, the:O, RCS:O, Galileo:O, platform:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Callisto Group and related infrastructure contain links to at least Russia , Ukraine , and China .' [/INST] [Callisto:O, Group:O, and:O, related:O, infrastructure:O, contain:O, links:O, to:O, at:O, least:O, Russia:B-Area, ,:O, Ukraine:B-Area, ,:O, and:O, China:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'they have been last known to employ malware in February 2016 .' [/INST] [they:O, have:O, been:O, last:O, known:O, to:O, employ:O, malware:O, in:O, February:B-Time, 2016:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'RCS Galileo platform .' [/INST] [RCS:O, Galileo:O, platform:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 spear phishing emails used in the known attacks by the Callisto Group were so convincing that even skilled and alert users would likely have attempted to open the malicious attachment .' [/INST] [The:O, spear:B-Way, phishing:I-Way, emails:I-Way, used:O, in:O, the:O, known:O, attacks:B-OffAct, by:O, the:O, Callisto:B-HackOrg, Group:I-HackOrg, were:O, so:O, convincing:O, that:O, even:O, skilled:O, and:O, alert:O, users:O, would:O, likely:O, have:O, attempted:O, to:O, open:O, the:O, malicious:O, attachment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 October 2015 the Callisto Group targeted a handful of individuals with phishing emails that attempted to obtain the target 's webmail credentials .' [/INST] [In:O, October:B-Time, 2015:I-Time, the:O, Callisto:O, Group:O, targeted:O, a:O, handful:O, of:O, individuals:O, with:O, phishing:B-Way, emails:I-Way, that:O, attempted:O, to:O, obtain:O, the:O, target:O, 's:O, webmail: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: 'The Callisto Group has been active at least since late 2015 and continues to be so , including continuing to set up new phishing infrastructure every week .' [/INST] [The:O, Callisto:O, Group:O, has:O, been:O, active:O, at:O, least:O, since:O, late:O, 2015:B-Time, and:O, continues:O, to:O, be:O, so:O, ,:O, including:O, continuing:O, to:O, set:O, up:O, new:O, phishing:B-Way, infrastructure:I-Way, every: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: 'Called Greenbug , this group is believed to be instrumental in helping Shamoon steal user credentials of targets ahead of Shamoon 's destructive attacks .' [/INST] [Called:O, Greenbug:O, ,:O, this:O, group:O, is:O, believed:O, to:O, be:O, instrumental:O, in:O, helping:O, Shamoon:O, steal:B-Purp, user:I-Purp, credentials:I-Purp, of:O, targets:O, ahead:O, of:O, Shamoon:O, 's:O, destructive:B-OffAct, attacks: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: 'On Tuesday , Arbor Networks said that it has new leads on a credential stealing remote access Trojan ( RAT ) called Ismdoor , possibly used by Greenbug to steal credentials on Shamoon 's behalf .' [/INST] [On:O, Tuesday:B-Time, ,:O, Arbor:B-SecTeam, Networks:I-SecTeam, said:O, that:O, it:O, has:O, new:O, leads:O, on:O, a:O, credential:O, stealing:O, remote:O, access:O, Trojan:B-Tool, (:O, RAT:B-Tool, ):O, called:O, Ismdoor:B-Tool, ,:O, possibly:O, used:O, by:O, Greenbug:O, to:O, steal:B-Purp, credentials:I-Purp, on:O, Shamoon:O, 's:O, behalf:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 our latest research we now see how Greenbug has shifted away from HTTP-based C2 communication with Ismdoor .' [/INST] [,:O, With:O, our:O, latest:O, research:O, we:O, now:O, see:O, how:O, Greenbug:O, has:O, shifted:O, away:O, from:O, HTTP-based:O, C2:O, communication:O, with:O, Ismdoor: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: 'It's now relying on a new DNS-based attack technique to better cloak command and control communications between Greenbug and the malware , , said Dennis Schwarz , research analyst on Arbor 's ASERT Team , in an interview with Threatpost .' [/INST] [It's:O, now:O, relying:O, on:O, a:O, new:O, DNS-based:B-Tool, attack:I-Tool, technique:I-Tool, to:O, better:O, cloak:B-Purp, command:I-Purp, and:O, control:B-Purp, communications:I-Purp, between:O, Greenbug:O, and:O, the:O, malware:O, ,:O, ,:O, said:O, Dennis:O, Schwarz:O, ,:O, research:O, analyst:O, on:O, Arbor:B-SecTeam, 's:I-SecTeam, ASERT:I-SecTeam, Team:I-SecTeam, ,:O, in:O, an:O, interview:O, with:O, Threatpost:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 't's now relying on a new DNS-based attack technique to better cloak command and control communications between Greenbug and the malware , , said Dennis Schwarz , research analyst on Arbor 's ASERT Team , in an interview with Threatpost .' [/INST] [t's:O, now:O, relying:O, on:O, a:O, new:O, DNS-based:B-Tool, attack:I-Tool, technique:I-Tool, to:O, better:O, cloak:B-Purp, command:I-Purp, and:O, control:B-Purp, communications:I-Purp, between:O, Greenbug:O, and:O, the:O, malware:O, ,:O, ,:O, said:O, Dennis:O, Schwarz:O, ,:O, research:O, analyst:O, on:O, Arbor:B-SecTeam, 's:I-SecTeam, ASERT:I-SecTeam, Team:I-SecTeam, ,:O, in:O, an:O, interview:O, with:O, Threatpost:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 relying on a native PDF command to navigate to a new URL , Zirconium successfully circumvented Chrome 's anti-redirect protection .' [/INST] [By:O, relying:O, on:O, a:O, native:O, PDF:B-Way, command:I-Way, to:O, navigate:O, to:O, a:O, new:O, URL:B-Way, ,:O, Zirconium:O, successfully:O, circumvented:O, Chrome:O, 's:O, anti-redirect:O, protection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 context of the Ismdoor RAT , the DNS attack technique is used primarily by Greenbug for stealing credentials .' [/INST] [In:O, the:O, context:O, of:O, the:O, Ismdoor:B-Tool, RAT:I-Tool, ,:O, the:O, DNS:B-OffAct, attack:I-OffAct, technique:O, is:O, used:O, primarily:O, by:O, Greenbug:O, for:O, stealing:B-Purp, credentials:I-Purp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To do this , it employs a number of specific commands via DNSMessenger .' [/INST] [To:O, do:O, this:O, ,:O, it:O, employs:B-Features, a:I-Features, number:I-Features, of:I-Features, specific:I-Features, commands:I-Features, via:O, DNSMessenger: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: 'Iranian Threat Agent Greenbug has been registering domains similar to those of Israeli High-Tech and Cyber Security Companies .' [/INST] [Iranian:O, Threat:O, Agent:O, Greenbug:O, has:O, been:O, registering:O, domains:O, similar:O, to:O, those:O, of:O, Israeli:O, High-Tech:B-Org, and:O, Cyber:B-Org, Security:I-Org, Companies:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By pivoting off the registration details and servers data of the two domains we discovered others registered by the threat agent .' [/INST] [By:O, pivoting:O, off:O, the:O, registration:O, details:O, and:O, servers:O, data:O, of:O, the:O, two:O, domains:O, we:O, discovered:O, others:O, registered:O, by:O, the:O, threat:O, agent:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Named Trochilus , this new RAT was part of Group 27 's malware portfolio that included six other malware strains , all served together or in different combinations , based on the data that needed to be stolen from each victim .' [/INST] [Named:O, Trochilus:B-Tool, ,:O, this:O, new:O, RAT:B-Tool, was:O, part:O, of:O, Group:O, 27:O, 's:O, malware:O, portfolio:O, that:O, included:O, six:O, other:O, malware:O, strains:O, ,:O, all:O, served:O, together:O, or:O, in:O, different:O, combinations:O, ,:O, based:O, on:O, the:O, data:O, that:O, needed:O, to:O, be:O, stolen:O, from:O, each: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: 'According to the security experts , this collection of malware was discovered after their first initial report was published , meaning that Group 27 ignored the fact they were unmasked and continued to infect their targets regardless , through the same entry point , the Myanmar Union Election Commission ( UEC ) website .' [/INST] [According:O, to:O, the:O, security:O, experts:O, ,:O, this:O, collection:O, of:O, malware:O, was:O, discovered:O, after:O, their:O, first:O, initial:O, report:O, was:O, published:O, ,:O, meaning:O, that:O, Group:O, 27:O, ignored:O, the:O, fact:O, they:O, were:O, unmasked:O, and:O, continued:O, to:O, infect:B-Purp, their:I-Purp, targets:I-Purp, regardless:O, ,:O, through:O, the:O, same:O, entry:O, point:O, ,:O, the:O, Myanmar:B-Org, Union:I-Org, Election:I-Org, Commission:I-Org, (:O, UEC:B-Org, ):O, website:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trochilus RAT activity was discovered during both months of October and November 2015 .' [/INST] [Trochilus:B-OffAct, RAT:I-OffAct, activity:I-OffAct, was:O, discovered:O, during:O, both:O, months:O, of:O, October:O, and:O, November:B-Time, 2015:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'From September 2016 through late November 2016 , a threat actor group used both the Trochilus RAT and a newly idenfied RAT we've named MoonWind to target organizations in Thailand , including a utility organization .' [/INST] [From:O, September:B-Time, 2016:I-Time, through:O, late:O, November:B-Time, 2016:I-Time, ,:O, a:O, threat:O, actor:O, group:O, used:O, both:O, the:O, Trochilus:B-Tool, RAT:I-Tool, and:O, a:O, newly:O, idenfied:O, RAT:B-Tool, we've:O, named:O, MoonWind:B-Tool, to:O, target:O, organizations:O, in:O, Thailand:O, ,:O, including:O, a:O, utility:B-Org, organization:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We chose the name ' MoonWind ' based on debugging strings we saw within the samples , as well as the compiler used to generate the samples .' [/INST] [We:O, chose:O, the:O, name:O, ':O, MoonWind:B-Tool, ':O, based:O, on:O, debugging:O, strings:O, we:O, saw:O, within:O, the:O, samples:O, ,:O, as:O, well:O, as:O, the:O, compiler:O, used:O, to:O, generate:O, the:O, samples:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attackers compromised two legitimate Thai websites to host the malware , which is a tactic this group has used in the past .' [/INST] [The:O, attackers:O, compromised:O, two:O, legitimate:B-Tool, Thai:I-Tool, websites:I-Tool, to:O, host:B-Purp, the:I-Purp, malware:I-Purp, ,:O, which:O, is:O, a:O, tactic:O, this:O, group:O, has:O, used: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: 'Both the Trochilus and MoonWind RATs were hosted on the same compromised sites and used to target the same organization at the same time .' [/INST] [Both:O, the:O, Trochilus:B-Tool, and:O, MoonWind:B-Tool, RATs:I-Tool, were:O, hosted:O, on:O, the:O, same:O, compromised:O, sites:O, and:O, used:O, to:O, target:O, the:O, same:O, organization: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 attackers used different command and control servers ( C2s ) for each malware family , a tactic we believe was meant to thwart attempts to tie the attacks together using infrastructure alone .' [/INST] [The:O, attackers:O, used:O, different:O, command:B-Tool, and:I-Tool, control:I-Tool, servers:I-Tool, (:O, C2s:O, ):O, for:O, each:O, malware:O, family:O, ,:O, a:O, tactic:O, we:O, believe:O, was:O, meant:O, to:O, thwart:O, attempts:O, to:O, tie:O, the:O, attacks:B-OffAct, together:O, using:O, infrastructure:O, alone:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Further research led us to additional MoonWind samples using the same C2 ( dns.webswindows.com ) but hosted on a different compromised but legitimate website .' [/INST] [Further:O, research:O, led:O, us:O, to:O, additional:O, MoonWind:B-Tool, samples:I-Tool, using:O, the:O, same:O, C2:O, (:O, dns.webswindows.com:O, ):O, but:O, hosted:O, on:O, a:O, different:O, compromised:O, but:O, legitimate:B-Tool, website: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 attacks in that case took place in late September to early October 2016 and the attackers stored the MoonWind samples as RAR files , while in the November attacks the RATs were stored as executables .' [/INST] [The:O, attacks:B-OffAct, in:O, that:O, case:O, took:O, place:O, in:O, late:O, September:O, to:O, early:O, October:B-Time, 2016:I-Time, and:O, the:O, attackers:O, stored:O, the:O, MoonWind:B-Tool, samples:I-Tool, as:O, RAR:B-Tool, files:I-Tool, ,:O, while:O, in:O, the:O, November:B-OffAct, attacks:I-OffAct, the:O, RATs:B-Tool, were:O, stored:O, as:O, executables:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 not able to find additional tools , but the attackers again compromised a legitimate Thai website to host their malware , in this case the student portal for a Thai University .' [/INST] [We:O, were:O, not:O, able:O, to:O, find:O, additional:O, tools:O, ,:O, but:O, the:O, attackers:O, again:O, compromised:O, a:O, legitimate:O, Thai:O, website:O, to:O, host:B-Purp, their:I-Purp, malware:I-Purp, ,:O, in:O, this:O, case:O, the:O, student:O, portal:O, for:O, a:O, Thai:O, University:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trochilus was first reported by Arbor Networks in their Seven Pointed Dagger report tying its use to other targeted Southeast Asia activity .' [/INST] [Trochilus:B-Tool, was:O, first:O, reported:O, by:O, Arbor:B-SecTeam, Networks:I-SecTeam, in:O, their:O, Seven:O, Pointed:O, Dagger:O, report:O, tying:O, its:O, use:O, to:O, other:O, targeted:O, Southeast:B-Area, Asia:I-Area, activity:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The activity dates to at least 2013 and has ties to multiple reports by other researchers .' [/INST] [The:O, activity:B-OffAct, dates:O, to:O, at:O, least:O, 2013:B-Time, and:O, has:O, ties:O, to:O, multiple:O, reports:O, by:O, other:O, researchers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 highly likely MoonWind is yet another new tool being used by the group or groups responsible for that activity , indicating they are not only still active but continuing to evolve their playbook .' [/INST] [It:O, is:O, highly:O, likely:O, MoonWind:B-Tool, is:O, yet:O, another:O, new:O, tool:O, being:O, used:O, by:O, the:O, group:O, or:O, groups:O, responsible:O, for:O, that:O, activity:B-OffAct, ,:O, indicating:O, they:O, are:O, not:O, only:O, still:O, active:O, but:O, continuing:O, to:O, evolve:O, their:O, playbook:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 samples provided were alleged to be targeting Tibetan and Chinese Pro-Democracy Activists .' [/INST] [The:O, samples:O, provided:O, were:O, alleged:O, to:O, be:O, targeting:O, Tibetan:B-Area, and:O, Chinese:B-Area, Pro-Democracy:I-Org, Activists:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On June 7 , 2013 , Rapid7 released an analysis of malware dubbed ' KeyBoy ' , also exploiting unknown vulnerabilities in Microsoft Office , similarly patched by MS12-060 , but allegedly targeting interests in Vietnam and India .' [/INST] [On:O, June:B-Time, 7:I-Time, ,:O, 2013:B-Time, ,:O, Rapid7:B-SecTeam, released:O, an:O, analysis:O, of:O, malware:O, dubbed:O, ':O, KeyBoy:B-Tool, ':O, ,:O, also:O, exploiting:O, unknown:O, vulnerabilities:O, in:O, Microsoft:O, Office:O, ,:O, similarly:O, patched:O, by:O, MS12-060:B-Tool, ,:O, but:O, allegedly:O, targeting:O, interests:O, in:O, Vietnam:B-Area, and:O, India:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As we have seen in some previous targeted malware attacks , the attackers in this incident are taking advantage of services like changeip.com to establish free subdomains in their infrastructure .' [/INST] [As:O, we:O, have:O, seen:O, in:O, some:O, previous:O, targeted:B-OffAct, malware:I-OffAct, attacks:I-OffAct, ,:O, the:O, attackers:O, in:O, this:O, incident:O, are:O, taking:O, advantage:O, of:O, services:O, like:O, changeip.com:O, to:O, establish:B-Purp, free:I-Purp, subdomains:I-Purp, in:O, their: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: 'Blending in with legitimate traffic is a common tactic used by attackers to help fly under the radar .' [/INST] [Blending:O, in:O, with:O, legitimate:B-Tool, traffic:I-Tool, is:O, a:O, common:O, tactic:O, used:O, by:O, attackers:O, to:O, help:O, fly:B-Purp, under:I-Purp, the:I-Purp, radar: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: 'Subdomains at phmail.us have been linked to malicious activity dating back as far as December 2011 .' [/INST] [Subdomains:O, at:O, phmail.us:O, have:O, been:O, linked:O, to:O, malicious:B-OffAct, activity:I-OffAct, dating:O, back:O, as:O, far:O, as:O, December:B-Time, 2011: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: 'Based on the patterns of subdomain registration over time in DNS , TRAC believes this is an example where the attackers registered their own second-level domain .' [/INST] [Based:O, on:O, the:O, patterns:O, of:O, subdomain:O, registration:O, over:O, time:O, in:O, DNS:O, ,:O, TRAC:B-SecTeam, believes:O, this:O, is:O, an:O, example:O, where:O, the:O, attackers:O, registered:O, their:O, own:O, second-level:O, domain:O, .:O] </s> |
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