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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: 'In total , Silence sent out about 80 , 000 emails , with more than half of them targeting Taiwan , Malaysia , and South Korea .' [/INST] [In:O, total:O, ,:O, Silence:B-HackOrg, sent:O, out:O, about:O, 80:O, ,:O, 000:O, emails:O, ,:O, with:O, more:O, than:O, half:O, of:O, them:O, targeting:O, Taiwan:B-Area, ,:O, Malaysia:B-Area, ,:O, and:O, South:B-Area, Korea: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: 'Prior to April 2018 , as described in Group-IB’s Silence: Moving into the darkside report , Silence’s target interests were primarily limited to former Soviet and Eastern European countries including Russia , Ukraine , Belarus , Azerbaijan , Poland , and Kazakhstan .' [/INST] [Prior:O, to:O, April:B-Time, 2018:I-Time, ,:O, as:O, described:O, in:O, Group-IB’s:B-HackOrg, Silence::O, Moving:O, into:O, the:O, darkside:O, report:O, ,:O, Silence’s:B-HackOrg, target:O, interests:O, were:O, primarily:O, limited:O, to:O, former:B-Area, Soviet:I-Area, and:O, Eastern:B-Area, European:I-Area, countries:O, including:O, Russia:B-Area, ,:O, Ukraine:B-Area, ,:O, Belarus:B-Area, ,:O, Azerbaijan:B-Area, ,:O, Poland:B-Area, ,:O, and:O, Kazakhstan: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: 'From 16 October 2018 to 1 January 2019 , Silence sent out about 84 , 000 emails in Russia alone to update their address database .' [/INST] [From:O, 16:B-Time, October:I-Time, 2018:I-Time, to:O, 1:B-Time, January:I-Time, 2019:I-Time, ,:O, Silence:B-HackOrg, sent:O, out:O, about:O, 84:O, ,:O, 000:O, emails:O, in:O, Russia:O, alone:O, to:O, update:O, their:O, address:O, database:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As part of their phishing campaigns , silence still uses Microsoft Office documents with macros or exploits , CHM files , and .LNK shortcuts as malicious attachments .' [/INST] [As:O, part:O, of:O, their:O, phishing:B-Way, campaigns:O, ,:O, silence:B-HackOrg, still:O, uses:O, Microsoft:O, Office:O, documents:O, with:O, macros:O, or:O, exploits:O, ,:O, CHM:O, files:O, ,:O, and:O, .LNK:O, shortcuts:O, as:O, malicious:O, attachments:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the former Soviet Union , Silence targeted banks in Kyrgyzstan , Kazakhstan , and Ukraine .' [/INST] [In:O, the:O, former:B-Area, Soviet:I-Area, Union:O, ,:O, Silence:B-HackOrg, targeted:O, banks:B-Idus, in:O, Kyrgyzstan:B-Area, ,:O, Kazakhstan:B-Area, ,:O, and:O, Ukraine:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In 2019 , Group-IB also observed the use of a new fileless PowerShell loader called Ivoke .' [/INST] [In:O, 2019:B-Time, ,:O, Group-IB:B-SecTeam, also:O, observed:O, the:O, use:O, of:O, a:O, new:O, fileless:O, PowerShell:O, loader:O, called:O, Ivoke:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Silence.Main Trojan , which is the main stage of the attack , has a full set of commands to control a compromised computer .' [/INST] [The:O, Silence.Main:B-SamFile, Trojan:I-SamFile, ,:O, which:O, is:O, the:O, main:O, stage:O, of:O, the:O, attack:O, ,:O, has:O, a:O, full:O, set:O, of:O, commands:O, to:O, control:B-Features, a:O, compromised:O, computer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As the CnC server , Silence use CnC-3 server running Windows , from which they send commands to download additional modules .' [/INST] [As:O, the:O, CnC:O, server:O, ,:O, Silence:B-HackOrg, use:O, CnC-3:B-Tool, server:I-Tool, running:O, Windows:O, ,:O, from:O, which:O, they:O, send:O, commands:O, to:O, download:O, additional:O, modules:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 control ATMs , the group uses the Atmosphere Trojan , which is unique to Silence , or a program called xfs-disp.exe .' [/INST] [To:O, control:O, ATMs:O, ,:O, the:O, group:B-HackOrg, uses:O, the:O, Atmosphere:B-Tool, Trojan:I-Tool, ,:O, which:O, is:O, unique:O, to:O, Silence:B-HackOrg, ,:O, or:O, a:O, program:O, called:O, xfs-disp.exe:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition , Silence downloads the reverse proxy programs Silence.ProxyBot and Silence. ProxyBot.NET , which are described in detail in the report Silence: moving into the darkside .' [/INST] [In:O, addition:O, ,:O, Silence:B-HackOrg, downloads:O, the:O, reverse:O, proxy:O, programs:O, Silence.ProxyBot:B-Tool, and:O, Silence.:B-Tool, ProxyBot.NET:I-Tool, ,:O, which:O, are:O, described:O, in:O, detail:O, in:O, the:O, report:O, Silence::O, moving:O, into:O, the:O, darkside:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Analysis of the emails has shown that the attachment contains an exploit for the CVE-2017-11882 vulnerability .' [/INST] [Analysis:O, of:O, the:O, emails:O, has:O, shown:O, that:O, the:O, attachment:O, contains:O, an:O, exploit:B-Exp, for:O, the:O, CVE-2017-11882:B-Exp, vulnerability:I-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: 'Group-IB specialists tracked a massive mailout of emails containing a malicious Microsoft Word attachment titled Договор.doc” [Contract.doc] .' [/INST] [Group-IB:B-SecTeam, specialists:O, tracked:O, a:O, massive:O, mailout:O, of:O, emails:O, containing:O, a:O, malicious:B-SamFile, Microsoft:I-SamFile, Word:I-SamFile, attachment:I-SamFile, titled:O, Договор.doc”:O, [Contract.doc]:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Silence sent out emails to Russian banks .' [/INST] [Silence:B-HackOrg, sent:O, out:O, emails:O, to:O, Russian:B-Area, banks:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The exploit installs Silence’s loader , designed to download backdoors and other malicious programs .' [/INST] [The:O, exploit:B-Exp, installs:O, Silence’s:B-HackOrg, loader:O, ,:O, designed:O, to:O, download:B-Features, backdoors:I-Features, and:O, other:O, malicious: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: 'Silence conducted a massive phishing campaign posing as the Central Bank of the Russian Federation .' [/INST] [Silence:B-HackOrg, conducted:O, a:O, massive:O, phishing:B-Way, campaign:O, posing:B-Way, as:O, the:O, Central:B-Idus, Bank:I-Idus, of:O, the:O, Russian:B-Area, Federation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Group-IB specialists have established that the aim of the attack was to deliver and launch the second stage of Silence’s Trojan , known as Silence.MainModule .' [/INST] [Group-IB:B-SecTeam, specialists:O, have:O, established:O, that:O, the:O, aim:O, of:O, the:O, attack:O, was:O, to:O, deliver:B-Purp, and:O, launch:B-Purp, the:O, second:O, stage:O, of:O, Silence’s:B-HackOrg, Trojan:O, ,:O, known:O, as:O, Silence.MainModule:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Silence attacked financial organisations in the UK .' [/INST] [Silence:B-HackOrg, attacked:O, financial:B-Idus, organisations:O, in:O, the:O, UK: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: 'Silence conducted the first stage of their Asian campaign , organising a massive phishing attack aimed at receiving an up-to-date list of current recipients in different countries for further targeted attacks delivering their malicious software .' [/INST] [Silence:B-HackOrg, conducted:O, the:O, first:O, stage:O, of:O, their:O, Asian:B-Area, campaign:O, ,:O, organising:O, a:O, massive:O, phishing:O, attack:O, aimed:O, at:O, receiving:B-Area, an:O, up-to-date:O, list:O, of:O, current:O, recipients:O, in:O, different:O, countries:O, for:O, further:O, targeted:O, attacks:O, delivering:B-Area, their:O, malicious: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: 'The attackers used the server deployed on 6 June 2019 to control compromised workstations in these banks .' [/INST] [The:O, attackers:B-HackOrg, used:O, the:O, server:O, deployed:O, on:O, 6:B-Time, June:I-Time, 2019:I-Time, to:O, control:O, compromised:O, workstations:O, in:O, these:O, banks:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On 24 March 2019 , Silence.ProxyBot (MD5 2fe01a04d6beef14555b2cf9a717615c) was uploaded to VirusTotal from an IP address in Sri Lanka .' [/INST] [On:O, 24:B-Time, March:I-Time, 2019:I-Time, ,:O, Silence.ProxyBot:B-SamFile, (MD5:O, 2fe01a04d6beef14555b2cf9a717615c):O, was:O, uploaded:O, to:O, VirusTotal:O, from:O, an:O, IP:O, address:O, in:O, Sri:B-Area, Lanka: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: 'On October 18th , 2018 , the group sent out emails to British financial companies as part of their preparatory campaign .' [/INST] [On:O, October:B-Time, 18th:B-Time, ,:O, 2018:B-Time, ,:O, the:O, group:B-HackOrg, sent:O, out:O, emails:O, to:O, British:B-Area, financial:B-Idus, companies:O, as:O, part:O, of:O, their:O, preparatory:O, campaign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Group-IB experts established that the server 185.20.187.89 started functioning no later than 28 January 2019 .' [/INST] [Group-IB:B-SecTeam, experts:O, established:O, that:O, the:O, server:O, 185.20.187.89:O, started:O, functioning:O, no:O, later:O, than:O, 28:B-Time, January:I-Time, 2019: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: 'According to local media reports , in 2019 Silence successfully withdrew money from the Bangladeshi bank twice within 2 months .' [/INST] [According:O, to:O, local:O, media:O, reports:O, ,:O, in:B-Time, 2019:I-Time, Silence:B-HackOrg, successfully:O, withdrew:O, money:O, from:O, the:O, Bangladeshi:B-Area, bank:B-Idus, twice:O, within:O, 2:O, months:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 actor may have used a unique tool called Atmosphere , a Trojan developed by Silence to remotely control ATM dispensers , or a similar program called xfs-disp.exe , which the actor may have used in their attack on IT Bank .' [/INST] [To:O, do:O, this:O, ,:O, the:O, actor:O, may:O, have:O, used:O, a:O, unique:O, tool:O, called:O, Atmosphere:B-Tool, ,:O, a:O, Trojan:O, developed:O, by:O, Silence:B-HackOrg, to:O, remotely:O, control:O, ATM:O, dispensers:O, ,:O, or:O, a:O, similar:O, program:O, called:O, xfs-disp.exe:B-SamFile, ,:O, which:O, the:O, actor:O, may:O, have:O, used:O, in:O, their:O, attack:O, on:O, IT:O, Bank: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: 'As we described in Silence: Moving into the darkside report , Silence has experience with theft using compromised card processing systems .' [/INST] [As:O, we:O, described:O, in:O, Silence::B-HackOrg, Moving:O, into:O, the:O, darkside:O, report:O, ,:O, Silence:B-HackOrg, has:O, experience:O, with:O, theft:O, using:B-Features, compromised:I-Features, card:I-Features, processing:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In February 2019 , Russian media7 reported a Silence attack on IT Bank in the city of Omsk .' [/INST] [In:O, February:B-Time, 2019:I-Time, ,:O, Russian:B-Area, media7:O, reported:O, a:O, Silence:B-OffAct, attack:I-OffAct, on:O, IT:O, Bank:O, in:O, the:O, city:O, of:O, Omsk:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 16 January 2019 , Silence sent out phishing emails with malicious attachments disguised as invitations to the International Financial Forum iFin-2019 (see section ‘Attack timeline’) .' [/INST] [On:O, 16:B-Time, January:I-Time, 2019:I-Time, ,:O, Silence:B-HackOrg, sent:O, out:O, phishing:B-Way, emails:I-Way, with:O, malicious:O, attachments:O, disguised:O, as:O, invitations:O, to:O, the:O, International:O, Financial:B-Idus, Forum:O, iFin-2019:O, (see:O, section:O, ‘Attack:O, timeline’):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Group-IB specialists determined that the email addresses of IT bank employees were among the recipients of these emails .' [/INST] [Group-IB:B-SecTeam, specialists:O, determined:O, that:O, the:O, email:O, addresses:O, of:O, IT:O, bank:B-Idus, employees:B-Org, were:O, among:O, the:O, recipients:O, of:O, these:O, emails:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The main goal of Silence.Downloader is to receive an executable file and run it on an infected machine .' [/INST] [The:O, main:O, goal:O, of:O, Silence.Downloader:B-SamFile, is:O, to:O, receive:B-Features, an:O, executable:O, file:O, and:O, run:O, it:O, on:O, an:O, infected:O, machine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Silence.MainModule is a typical remote control Trojan that provides access to the command shell CMD.EXE with the possibility of downloading files from remote nodes to a computer and uploading files from a computer to a remote server .' [/INST] [Silence.MainModule:B-SamFile, is:O, a:O, typical:O, remote:O, control:O, Trojan:O, that:O, provides:B-Features, access:O, to:O, the:O, command:O, shell:O, CMD.EXE:O, with:O, the:O, possibility:O, of:O, downloading:B-Features, files:I-Features, from:O, remote:O, nodes:O, to:O, a:O, computer:O, and:O, uploading:B-Features, files:I-Features, from:O, a:O, computer:O, to:O, a:O, remote:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since at least 2011 , these hackers have been using malware to spy on corporate networks .' [/INST] [Since:O, at:O, least:O, 2011:B-Time, ,:O, these:O, hackers:B-HackOrg, have:O, been:O, using:O, malware:B-Tool, to:O, spy:O, on:O, corporate:O, networks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Hackers are targeting high-tech companies as well as chemical and pharmaceutical companies .' [/INST] [Hackers:B-HackOrg, are:O, targeting:O, high-tech:B-Idus, companies:I-Idus, as:O, well:O, as:O, chemical:B-Idus, and:O, pharmaceutical:B-Idus, companies:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 hackers will map a company’s network and look for strategically favorable locations for placing their malware .' [/INST] [The:O, hackers:B-HackOrg, will:O, map:O, a:O, company’s:O, network:O, and:O, look:O, for:O, strategically:O, favorable:O, locations:O, for:O, placing:B-Purp, their:I-Purp, malware: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: 'The corporation conrms the Winnti incident and issues the following statement: The cyberattack was discovered in the summer of 2014 and Henkel promptly took all necessary precautions.” Henkel claims that a very small portion” of its worldwide IT systems had been aected — the systems in Germany .' [/INST] [The:O, corporation:O, conrms:O, the:O, Winnti:B-HackOrg, incident:O, and:O, issues:O, the:O, following:O, statement::O, The:O, cyberattack:O, was:O, discovered:O, in:O, the:O, summer:O, of:O, 2014:B-Time, and:O, Henkel:O, promptly:O, took:O, all:O, necessary:O, precautions.”:O, Henkel:O, claims:O, that:O, a:O, very:O, small:O, portion”:O, of:O, its:O, worldwide:O, IT:O, systems:O, had:O, been:O, aected:O, —:O, the:O, systems:O, in:O, Germany: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: 'A BASF spokeswoman tells us in an email that in July 2015 , hackers had successfully overcome the rst levels” of defense .' [/INST] [A:O, BASF:O, spokeswoman:O, tells:O, us:O, in:O, an:O, email:O, that:O, in:O, July:B-Time, 2015:I-Time, ,:O, hackers:B-HackOrg, had:O, successfully:O, overcome:O, the:O, rst:O, levels”:O, of:O, defense:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 tool was written by sta of Thyssenkrupp , because the industrial giant—company number eleven—had been spied on by Winnti .' [/INST] [The:O, tool:O, was:O, written:O, by:O, sta:O, of:O, Thyssenkrupp:B-Tool, ,:O, because:O, the:O, industrial:O, giant—company:O, number:O, eleven—had:O, been:O, spied:O, on:O, by:O, Winnti:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Hackers are charged with spying on a manufacturer of gas turbines .' [/INST] [Hackers:B-HackOrg, are:O, charged:O, with:O, spying:O, on:O, a:O, manufacturer:B-Idus, of:O, gas:O, turbines:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Hong Kong government was spied on by the Winnti hackers .' [/INST] [The:O, Hong:B-Area, Kong:I-Area, government:O, was:O, spied:O, on:O, by:O, the:O, Winnti:B-HackOrg, hackers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Komplex is a backdoor that has been used by APT28 on OS X and appears to be developed in a similar manner to XAgentOSX .' [/INST] [Komplex:B-Tool, is:O, a:O, backdoor:O, that:O, has:O, been:O, used:O, by:O, APT28:B-HackOrg, on:O, OS:O, X:O, and:O, appears:O, to:O, be:O, developed:O, in:O, a:O, similar:O, manner:O, to:O, XAgentOSX:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 OceanLotus’ targets are global , their operations are mostly active within the APAC region which encompasses targeting private sectors across multiple industries , foreign governments , activists , and dissidents connected to Vietnam .' [/INST] [While:O, OceanLotus’:B-HackOrg, targets:O, are:O, global:O, ,:O, their:O, operations:O, are:O, mostly:O, active:O, within:O, the:O, APAC:B-Area, region:O, which:O, encompasses:O, targeting:O, private:O, sectors:O, across:O, multiple:O, industries:O, ,:O, foreign:B-Idus, governments:I-Idus, ,:O, activists:B-Org, ,:O, and:O, dissidents:B-Org, connected:O, to:O, Vietnam: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: 'NewsBeef attacks against Saudi Arabian organizations and individuals (as well as targets in the European Union) are likely to continue .' [/INST] [NewsBeef:B-HackOrg, attacks:O, against:O, Saudi:B-Area, Arabian:I-Area, organizations:O, and:O, individuals:O, (as:O, well:O, as:O, targets:O, in:O, the:O, European:B-Area, Union):O, are:O, likely:O, to:O, continue:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Rapid7 discovered that additional data was placed into the Dropbox accounts under control of the APT10 during the compromise and was able to attribute data that was placed into it as being owned by Visma .' [/INST] [Rapid7:B-SecTeam, discovered:O, that:O, additional:O, data:O, was:O, placed:O, into:O, the:O, Dropbox:O, accounts:O, under:O, control:O, of:O, the:O, APT10:B-HackOrg, during:O, the:O, compromise:O, and:O, was:O, able:O, to:O, attribute:O, data:O, that:O, was:O, placed:B-Way, into:O, it:O, as:O, being:O, owned:O, by:O, Visma:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Rapid7 again observed APT10 dropping payloads named ccSEUPDT.exe .' [/INST] [Rapid7:B-SecTeam, again:O, observed:O, APT10:B-HackOrg, dropping:O, payloads:O, named:O, ccSEUPDT.exe:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 RAT families are discussed in Novetta’s other report on the Lazarus Group’s RAT and Staging capabilities .' [/INST] [These:O, RAT:O, families:O, are:O, discussed:O, in:O, Novetta’s:B-SecTeam, other:O, report:O, on:O, the:O, Lazarus:B-HackOrg, Group’s:O, RAT:O, and:O, Staging:O, capabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Magic Hound has primarily targeted organizations in the energy , government , and technology sectors that are either based or have business interests in Saudi Arabia .' [/INST] [Magic:B-HackOrg, Hound:I-HackOrg, has:O, primarily:O, targeted:O, organizations:O, in:O, the:O, energy:B-Idus, ,:O, government:B-Idus, ,:O, and:O, technology:B-Idus, sectors:O, that:O, are:O, either:O, based:O, or:O, have:O, business:O, interests:O, in:O, Saudi:B-Area, Arabia: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: 'Since at least 2013 , the Iranian threat group that FireEye tracks as APT33 has carried out a cyber espionage operation to collect information from defense , aerospace and petrochemical organizations .' [/INST] [Since:O, at:O, least:O, 2013:B-Time, ,:O, the:O, Iranian:B-Area, threat:O, group:B-HackOrg, that:O, FireEye:B-SecTeam, tracks:O, as:O, APT33:B-HackOrg, has:O, carried:O, out:O, a:O, cyber:O, espionage:O, operation:O, to:O, collect:O, information:O, from:O, defense:B-Idus, ,:O, aerospace:B-Idus, and:O, petrochemical:B-Idus, 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: 'CTU researchers observed likely unsuccessful phishing campaigns being followed by highly targeted spearphishing and social engineering attacks from a threat actor using the name Mia Ash .' [/INST] [CTU:B-SecTeam, researchers:O, observed:O, likely:O, unsuccessful:O, phishing:B-OffAct, campaigns:I-OffAct, being:O, followed:O, by:O, highly:O, targeted:O, spearphishing:B-Way, and:O, social:B-Way, engineering:I-Way, attacks:I-Way, from:O, a:O, threat:O, actor:O, using:O, the:O, name:O, Mia:B-HackOrg, Ash:I-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers conclude that COBALT GYPSY created the persona to gain unauthorized access to targeted computer networks via social engineering .' [/INST] [CTU:B-SecTeam, researchers:O, conclude:O, that:O, COBALT:B-HackOrg, GYPSY:I-HackOrg, created:O, the:O, persona:O, to:O, gain:O, unauthorized:O, access:O, to:O, targeted:O, computer:O, networks:O, via:O, social:B-Way, engineering: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: 'Characterized by relatively unsophisticated technical merit and extensive use of spear phishing , the Magic Hound targeted individuals and organizations in the Middle East (including targets inside Iran itself) , as well as across Europe and in the United States .' [/INST] [Characterized:O, by:O, relatively:O, unsophisticated:O, technical:O, merit:O, and:O, extensive:O, use:O, of:O, spear:B-Way, phishing:I-Way, ,:O, the:O, Magic:B-HackOrg, Hound:I-HackOrg, targeted:O, individuals:O, and:O, organizations:O, in:O, the:O, Middle:B-Area, East:I-Area, (including:O, targets:O, inside:O, Iran:O, itself):O, ,:O, as:O, well:O, as:O, across:O, Europe:B-Area, and:O, in:O, the:O, United:B-Area, States: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: 'These malware families have a rich history of being used in many targeted attacks against government and private organizations .' [/INST] [These:O, malware:B-SamFile, families:O, have:O, a:O, rich:O, history:O, of:O, being:O, used:O, in:O, many:O, targeted:O, attacks:O, against:O, government:B-Idus, and:O, private:B-Idus, organizations: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: 'The activity surfaced in Southeast Asia , a region where APT10 frequently operates .' [/INST] [The:O, activity:O, surfaced:O, in:O, Southeast:B-Area, Asia:I-Area, ,:O, a:O, region:O, where:O, APT10:B-HackOrg, frequently:O, operates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 we analyzed originated from the Philippines .' [/INST] [The:O, samples:B-SamFile, we:O, analyzed:O, originated:O, from:O, the:O, Philippines: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: 'APT10 frequently targets the Southeast Asia region .' [/INST] [APT10:B-HackOrg, frequently:O, targets:O, the:O, Southeast:B-Area, Asia:I-Area, region:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 of the loader’s variants and their various payloads that enSilo analyzed share similar Tactics , Techniques , and Procedures (TTPs) and code associated with APT10 .' [/INST] [Both:O, of:O, the:O, loader’s:O, variants:O, and:O, their:O, various:O, payloads:O, that:O, enSilo:B-SecTeam, analyzed:O, share:O, similar:O, Tactics:O, ,:O, Techniques:O, ,:O, and:O, Procedures:O, (TTPs):O, and:O, code:O, associated:O, with:O, APT10:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Typically , APT10 tends to employ a namesquatting scheme in their domains that aims to confuse the observer by posing as a legitimate domain .' [/INST] [Typically:O, ,:O, APT10:B-HackOrg, tends:O, to:O, employ:B-Way, a:O, namesquatting:O, scheme:O, in:O, their:O, domains:O, that:O, aims:O, to:O, confuse:B-Purp, the:O, observer:O, by:O, posing:O, as:O, a:O, legitimate:O, domain:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Also , the certificate embedded in the Quasar sample was issued at 22.12.2018 , which correlates with the file’s compilation date .' [/INST] [Also:O, ,:O, the:O, certificate:O, embedded:O, in:O, the:O, Quasar:O, sample:B-SamFile, was:O, issued:O, at:O, 22.12.2018:B-Time, ,:O, which:O, correlates:O, with:O, the:O, file’s:O, compilation: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: 'Over the past three months , Recorded Future’s Insikt Group has observed an increase in APT33’s also known as Elfin infrastructure building and targeting activity , and on June 21 , 2019 , Yahoo .' [/INST] [Over:O, the:O, past:O, three:O, months:O, ,:O, Recorded:B-SecTeam, Future’s:I-SecTeam, Insikt:O, Group:O, has:O, observed:O, an:O, increase:O, in:O, APT33’s:B-HackOrg, also:O, known:O, as:O, Elfin:B-HackOrg, infrastructure:O, building:O, and:O, targeting:O, activity:O, ,:O, and:O, on:O, June:B-Time, 21:I-Time, ,:O, 2019:B-Time, ,:O, Yahoo:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'News reported that the U.S. Cyber Command launched cyberattacks on an Iranian spy group .' [/INST] [News:O, reported:O, that:O, the:O, U.S.:B-SecTeam, Cyber:I-SecTeam, Command:O, launched:O, cyberattacks:O, on:O, an:O, Iranian:O, spy:O, group:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Iranian state-sponsored threat actor APT33 has been conducting cyberespionage activity since at least 2013 , predominantly targeting nations in the Middle East , but also notably targeting U.S. , South Korean , and European commercial entities across a wide variety of sectors .' [/INST] [Iranian:B-Area, state-sponsored:O, threat:O, actor:O, APT33:B-HackOrg, has:O, been:O, conducting:O, cyberespionage:O, activity:O, since:O, at:O, least:O, 2013:B-Time, ,:O, predominantly:O, targeting:O, nations:O, in:O, the:O, Middle:B-Area, East:I-Area, ,:O, but:O, also:O, notably:O, targeting:O, U.S.:B-Area, ,:O, South:B-Area, Korean:I-Area, ,:O, and:O, European:B-Area, commercial:O, entities:O, across:O, a:O, wide:O, variety:O, of:O, sectors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our research found that APT33 , or a closely aligned threat actor , continues to conduct and prepare for widespread cyberespionage activity , with over 1 , 200 domains used since March 28 , 2019 and with a strong emphasis on using commodity malware .' [/INST] [Our:O, research:O, found:O, that:O, APT33:B-HackOrg, ,:O, or:O, a:O, closely:O, aligned:O, threat:O, actor:O, ,:O, continues:O, to:O, conduct:O, and:O, prepare:O, for:O, widespread:O, cyberespionage:O, activity:O, ,:O, with:O, over:O, 1:O, ,:O, 200:O, domains:O, used:O, since:O, March:B-Time, 28:I-Time, ,:O, 2019:B-Time, and:O, with:O, a:O, strong:O, emphasis:O, on:O, using:O, commodity:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The targeting of mainly Saudi Arabian organizations across a wide variety of industries aligns with historical targeting patterns for the group , which appear undeterred following previous exposés of their activity .' [/INST] [The:O, targeting:O, of:O, mainly:O, Saudi:B-Area, Arabian:I-Area, organizations:O, across:O, a:O, wide:O, variety:O, of:O, industries:O, aligns:O, with:O, historical:O, targeting:O, patterns:O, for:O, the:O, group:B-HackOrg, ,:O, which:O, appear:O, undeterred:O, following:O, previous:O, exposés:O, of:O, their: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: 'Towards the end of April 2019 , we tracked down what we believe to be new activity by APT10 , a Chinese cyber espionage group .' [/INST] [Towards:O, the:O, end:O, of:O, April:B-Time, 2019:I-Time, ,:O, we:O, tracked:O, down:O, what:O, we:O, believe:O, to:O, be:O, new:O, activity:O, by:O, APT10:B-HackOrg, ,:O, a:O, Chinese:B-Area, cyber:O, espionage:O, group:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Almost 60% of the suspected APT33 domains that were classified to malware families related to njRAT infections , a RAT not previously associated with APT33 activity .' [/INST] [Almost:O, 60%:O, of:O, the:O, suspected:O, APT33:B-HackOrg, domains:O, that:O, were:O, classified:O, to:O, malware:O, families:O, related:O, to:O, njRAT:B-Tool, infections:O, ,:O, a:O, RAT:O, not:O, previously:O, associated:O, with:O, APT33:B-HackOrg, 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: 'Other commodity RAT malware families , such as AdwindRAT and RevengeRAT , were also linked to suspected APT33 domain activity .' [/INST] [Other:O, commodity:O, RAT:O, malware:O, families:O, ,:O, such:O, as:O, AdwindRAT:B-Tool, and:O, RevengeRAT:B-Tool, ,:O, were:O, also:O, linked:O, to:O, suspected:O, APT33:B-HackOrg, domain: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: 'APT33 is an Iranian state-sponsored threat actor that has engaged in cyberespionage activities since at least 2013 .' [/INST] [APT33:B-HackOrg, is:O, an:O, Iranian:B-Area, state-sponsored:O, threat:O, actor:O, that:O, has:O, engaged:O, in:O, cyberespionage:O, activities:O, since: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: 'Western and Saudi organizations in industries that have been historically targeted by APT33 should be monitoring geopolitical developments and increasing the scrutiny of operational security controls focusing on detection and remediation of initial unauthorized access , specifically from phishing campaigns , webshells .' [/INST] [Western:B-Area, and:O, Saudi:B-Area, organizations:O, in:O, industries:O, that:O, have:O, been:O, historically:O, targeted:O, by:O, APT33:B-HackOrg, should:O, be:O, monitoring:O, geopolitical:O, developments:O, and:O, increasing:O, the:O, scrutiny:O, of:O, operational:O, security:O, controls:O, focusing:O, on:O, detection:O, and:O, remediation:O, of:O, initial:O, unauthorized:O, access:O, ,:O, specifically:O, from:O, phishing:B-OffAct, campaigns:I-OffAct, ,:O, webshells:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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’s Elfin report denoted additional targeting of the engineering , chemical , research , finance , IT , and healthcare sectors .' [/INST] [Symantec’s:B-SecTeam, Elfin:B-HackOrg, report:O, denoted:O, additional:O, targeting:O, of:O, the:O, engineering:B-Idus, ,:O, chemical:B-Idus, ,:O, research:I-Idus, ,:O, finance:I-Idus, ,:O, IT:O, ,:O, and:O, healthcare:B-Idus, sectors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 assess that the recent reporting on links between the Nasr Institute and Kavosh Security Group , as well as technical and persona analysis , overlaps among APT33 , APT35 , and MUDDYWATER , and is probably a result of the tiered structure that Iran utilizes to manage cyber operations .' [/INST] [We:O, assess:O, that:O, the:O, recent:O, reporting:O, on:O, links:O, between:O, the:O, Nasr:B-Org, Institute:I-Org, and:O, Kavosh:O, Security:O, Group:B-HackOrg, ,:O, as:O, well:O, as:O, technical:O, and:O, persona:O, analysis:O, ,:O, overlaps:O, among:O, APT33:B-HackOrg, ,:O, APT35:B-HackOrg, ,:O, and:O, MUDDYWATER:B-HackOrg, ,:O, and:O, is:O, probably:O, a:O, result:O, of:O, the:O, tiered:O, structure:O, that:O, Iran:B-Area, utilizes:O, to:O, manage:O, cyber: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: 'Recorded Future has been monitoring APT33 activity , beginning with research published in October 2017 , which revealed new infrastructure , malware hashes , and TTPs relating to the threat actor(s) .' [/INST] [Recorded:B-SecTeam, Future:I-SecTeam, has:O, been:O, monitoring:O, APT33:B-HackOrg, activity:O, ,:O, beginning:O, with:O, research:O, published:O, in:O, October:B-Time, 2017:I-Time, ,:O, which:O, revealed:O, new:O, infrastructure:O, ,:O, malware:O, hashes:O, ,:O, and:O, TTPs:O, relating:O, to:O, the:O, threat:O, actor(s):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye also noted in their 2017 report that the online handle xman_1365_x , ” found within the PDB path in an APT33 TURNEDUP backdoor sample , belonged to an individual at the Nasr Institute .' [/INST] [FireEye:B-SecTeam, also:O, noted:O, in:O, their:O, 2017:B-Time, report:O, that:O, the:O, online:O, handle:O, xman_1365_x:O, ,:O, ”:O, found:O, within:O, the:O, PDB:O, path:O, in:O, an:O, APT33:B-HackOrg, TURNEDUP:O, backdoor:O, sample:O, ,:O, belonged:O, to:O, an:O, individual:O, at:O, the:O, Nasr:O, Institute:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Recorded Future’s Insikt Group has been monitoring APT33 activity , beginning with research published in October 2017 , which revealed new infrastructure , malware hashes , and TTPs relating to the threat actor(s) .' [/INST] [Recorded:B-SecTeam, Future’s:I-SecTeam, Insikt:B-HackOrg, Group:B-HackOrg, has:O, been:O, monitoring:O, APT33:B-HackOrg, activity:O, ,:O, beginning:O, with:O, research:O, published:O, in:O, October:B-Time, 2017:I-Time, ,:O, which:O, revealed:O, new:O, infrastructure:O, ,:O, malware:O, hashes:O, ,:O, and:O, TTPs:O, relating:O, to:O, the:O, threat:O, actor(s):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 this information , it is possible that upon the exposure of the Nasr Institute as a front for Iranian state-sponsored offensive cyber activity , employees transitioned over to other entities , such as Kavosh , to protect their identities and minimize further exposure .' [/INST] [Based:O, on:O, this:O, information:O, ,:O, it:O, is:O, possible:O, that:O, upon:O, the:O, exposure:O, of:O, the:O, Nasr:B-HackOrg, Institute:O, as:O, a:O, front:O, for:O, Iranian:B-Area, state-sponsored:O, offensive:O, cyber:O, activity:O, ,:O, employees:O, transitioned:O, over:O, to:O, other:O, entities:O, ,:O, such:O, as:O, Kavosh:O, ,:O, to:O, protect:O, their:O, identities:O, and:O, minimize:O, further:O, exposure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Insikt Group researchers used proprietary methods , including Recorded Future Domain Analysis and Recorded Future Network Traffic Analysis , along with other common analytical approaches , to profile recently reported Iranian threat actor APT33’s domain and hosting infrastructure in an effort to identify recent activity .' [/INST] [Insikt:B-SecTeam, Group:O, researchers:O, used:O, proprietary:O, methods:O, ,:O, including:O, Recorded:O, Future:O, Domain:O, Analysis:O, and:O, Recorded:B-SecTeam, Future:I-SecTeam, Network:O, Traffic:O, Analysis:O, ,:O, along:O, with:O, other:O, common:O, analytical:O, approaches:O, ,:O, to:O, profile:O, recently:O, reported:O, Iranian:O, threat:O, actor:O, APT33’s:B-HackOrg, domain:O, and:O, hosting:O, infrastructure:O, in:O, an:O, effort:O, to:O, identify:O, recent: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: 'Insikt Group enumerated all domains reported as being used by APT33 since January 2019 .' [/INST] [Insikt:B-SecTeam, Group:O, enumerated:O, all:O, domains:O, reported:O, as:O, being:O, used:O, by:O, APT33:B-HackOrg, since:O, January:B-Time, 2019: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: 'PlugX is a modular structured malware that has many different operational plugins such as communication compression and encryption , network enumeration , files interaction , remote shell operations and more .' [/INST] [PlugX:B-SamFile, is:O, a:O, modular:O, structured:O, malware:O, that:O, has:O, many:O, different:O, operational:O, plugins:O, such:O, as:O, communication:B-Features, compression:I-Features, and:O, encryption:B-Features, ,:O, network:B-Features, enumeration:I-Features, ,:O, files:B-Features, interaction:I-Features, ,:O, remote:B-Features, shell:I-Features, operations:I-Features, and:O, more:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Using data from Recorded Future Domain Analysis and combining it with data derived from Recorded Future Network Traffic Analysis , Insikt Group researchers were able to identify a small selection of likely targeted organizations impacted by suspected APT33 activity .' [/INST] [Using:O, data:O, from:O, Recorded:B-SecTeam, Future:I-SecTeam, Domain:O, Analysis:O, and:O, combining:O, it:O, with:O, data:O, derived:O, from:O, Recorded:O, Future:O, Network:O, Traffic:O, Analysis:O, ,:O, Insikt:B-SecTeam, Group:I-SecTeam, researchers:O, were:O, able:O, to:O, identify:O, a:O, small:O, selection:O, of:O, likely:O, targeted:O, organizations:O, impacted:O, by:O, suspected:O, APT33:B-HackOrg, 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: 'Following the exposure of a wide range of their infrastructure and operations by Symantec earlier this year , we discovered that APT33 , or closely aligned actors , reacted by either parking or reassigning some of their domain infrastructure .' [/INST] [Following:O, the:O, exposure:O, of:O, a:O, wide:O, range:O, of:O, their:O, infrastructure:O, and:O, operations:O, by:O, Symantec:B-SecTeam, earlier:O, this:O, year:O, ,:O, we:O, discovered:O, that:O, APT33:B-HackOrg, ,:O, or:O, closely:O, aligned:O, actors:O, ,:O, reacted:O, by:O, either:O, parking:O, or:O, reassigning:O, some:O, of:O, their:O, domain: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: 'Since late March , suspected APT33 threat actors have continued to use a large swath of operational infrastructure , well in excess of 1 , 200 domains , with many observed communicating with 19 different commodity RAT implants .' [/INST] [Since:O, late:B-Time, March:I-Time, ,:O, suspected:O, APT33:B-HackOrg, threat:O, actors:O, have:O, continued:O, to:O, use:O, a:O, large:O, swath:O, of:O, operational:O, infrastructure:O, ,:O, well:O, in:O, excess:O, of:O, 1:O, ,:O, 200:O, domains:O, ,:O, with:O, many:O, observed:O, communicating:O, with:O, 19:O, different:O, commodity:O, RAT:B-Tool, implants:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 haven’t observed a widespread targeting of commercial entities or regional adversaries like in previously documented APT33 operations , the handful of targeted organizations that we did observe were mainly located in Saudi Arabia across a range of industries , indicating ongoing targeting aligned with geopolitical aims .' [/INST] [While:O, we:B-SecTeam, haven’t:O, observed:O, a:O, widespread:O, targeting:O, of:O, commercial:O, entities:O, or:O, regional:O, adversaries:O, like:O, in:O, previously:O, documented:O, APT33:B-HackOrg, operations:O, ,:O, the:O, handful:O, of:O, targeted:O, organizations:O, that:O, we:O, did:O, observe:O, were:O, mainly:O, located:O, in:O, Saudi:B-Area, Arabia:I-Area, across:O, a:O, range:O, of:O, industries:O, ,:O, indicating:O, ongoing:O, targeting:O, aligned:O, with:O, geopolitical:O, aims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 zip contained a sample of the Poison Ivy malware which is also known to be used by APT10 .' [/INST] [The:O, zip:O, contained:O, a:O, sample:O, of:O, the:O, Poison:B-Tool, Ivy:I-Tool, malware:O, which:O, is:O, also:O, known:O, to:O, be:O, used:O, by:O, APT10:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The new malware families , which we will examine later in this post , show APT34 relying on their PowerShell development capabilities , as well as trying their hand at Golang .' [/INST] [The:O, new:O, malware:O, families:O, ,:O, which:O, we:O, will:O, examine:O, later:O, in:O, this:O, post:O, ,:O, show:O, APT34:B-HackOrg, relying:O, on:O, their:O, PowerShell:B-Tool, development:O, capabilities:O, ,:O, as:O, well:O, as:O, trying:O, their:O, hand:O, at:O, Golang:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , with the assistance of our FireEye Labs Advanced Reverse Engineering (FLARE) , Intelligence , and Advanced Practices teams , we identified three new malware families and a reappearance of PICKPOCKET , malware exclusively observed in use by APT34 .' [/INST] [Additionally:O, ,:O, with:O, the:O, assistance:O, of:O, our:O, FireEye:B-SecTeam, Labs:O, Advanced:O, Reverse:O, Engineering:O, (FLARE):O, ,:O, Intelligence:O, ,:O, and:O, Advanced:B-SecTeam, Practices:I-SecTeam, teams:O, ,:O, we:O, identified:O, three:O, new:O, malware:O, families:O, and:O, a:O, reappearance:O, of:O, PICKPOCKET:O, ,:O, malware:O, exclusively:O, observed:O, in:O, use:O, by:O, APT34: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 threat group has conducted broad targeting across a variety of industries operating in the Middle East; however , we believe APT34's strongest interest is gaining access to financial , energy , and government entities .' [/INST] [This:O, threat:O, group:B-HackOrg, has:O, conducted:O, broad:O, targeting:O, across:O, a:O, variety:O, of:O, industries:O, operating:O, in:O, the:O, Middle:B-Area, East;:B-Area, however:O, ,:O, we:O, believe:O, APT34's:O, strongest:O, interest:O, is:O, gaining:O, access:O, to:O, financial:B-Idus, ,:O, energy:B-Idus, ,:O, and:O, government:B-Idus, entities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , with the assistance of FireEye Labs , we identified three new malware families and a reappearance of PICKPOCKET , malware exclusively observed in use by APT34 .' [/INST] [Additionally:O, ,:O, with:O, the:O, assistance:O, of:O, FireEye:B-SecTeam, Labs:I-SecTeam, ,:O, we:O, identified:O, three:O, new:O, malware:O, families:O, and:O, a:O, reappearance:O, of:O, PICKPOCKET:B-Tool, ,:O, malware:O, exclusively:O, observed:O, in:O, use:O, by:O, APT34:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT34 is an Iran-nexus cluster of cyber espionage activity that has been active since at least 2014 .' [/INST] [APT34:B-HackOrg, is:O, an:O, Iran-nexus:O, cluster:O, of:O, cyber:O, espionage:B-OffAct, activity:I-OffAct, that:O, has:O, been:O, active:O, since:O, at:O, least: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: 'This CPE was created to ensure our customers are updated with new discoveries , activity and detection efforts related to this campaign , along with other recent activity from Iranian-nexus threat actors to include APT33 , which is mentioned in this updated FireEye blog post .' [/INST] [This:O, CPE:O, was:O, created:O, to:O, ensure:O, our:O, customers:O, are:O, updated:O, with:O, new:O, discoveries:O, ,:O, activity:O, and:O, detection:O, efforts:O, related:O, to:O, this:O, campaign:O, ,:O, along:O, with:O, other:O, recent:O, activity:O, from:O, Iranian-nexus:B-Area, threat:O, actors:O, to:O, include:O, APT33:B-HackOrg, ,:O, which:O, is:O, mentioned:O, in:O, this:O, updated:O, FireEye:B-SecTeam, blog:O, post:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On June 19 , 2019 , FireEye’s Managed Defense Security Operations Center received an exploit detection alert on one of our FireEye Endpoint Security appliances .' [/INST] [On:O, June:B-Time, 19:I-Time, ,:O, 2019:B-Time, ,:O, FireEye’s:B-SecTeam, Managed:O, Defense:O, Security:O, Operations:O, Center:O, received:O, an:O, exploit:O, detection:O, alert:O, on:O, one:O, of:O, our:O, FireEye:B-SecTeam, Endpoint:O, Security:O, appliances:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 backdoor that communicates with a single command and control (C2) server using HTTP GET and POST requests , TONEDEAF supports collecting system information , uploading and downloading of files , and arbitrary shell command execution .' [/INST] [A:O, backdoor:O, that:O, communicates:O, with:O, a:O, single:O, command:O, and:O, control:O, (C2):O, server:O, using:O, HTTP:O, GET:O, and:O, POST:O, requests:O, ,:O, TONEDEAF:B-SamFile, supports:O, collecting:B-Features, system:I-Features, information:I-Features, ,:O, uploading:B-Features, and:O, downloading:B-Features, of:O, files:O, ,:O, and:O, arbitrary:B-Features, shell:O, command:O, execution:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye’s Advanced Practices and Intelligence teams were able to identify additional artifacts and activity from the APT34 actors at other victim organizations .' [/INST] [FireEye’s:B-SecTeam, Advanced:O, Practices:O, and:O, Intelligence:O, teams:O, were:O, able:O, to:O, identify:O, additional:O, artifacts:O, and:O, activity:O, from:O, the:O, APT34:B-HackOrg, actors:O, at:O, other:O, victim:B-Org, organizations:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Of note , FireEye discovered two additional new malware families hosted at this domain , VALUEVAULT and LONGWATCH .' [/INST] [Of:O, note:O, ,:O, FireEye:B-SecTeam, discovered:O, two:O, additional:O, new:O, malware:O, families:O, hosted:O, at:O, this:O, domain:O, ,:O, VALUEVAULT:B-SamFile, and:O, LONGWATCH:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 tool was previously observed during a Mandiant incident response in 2018 and , to date , solely utilized by APT34 .' [/INST] [This:O, tool:B-Tool, was:O, previously:O, observed:O, during:O, a:O, Mandiant:B-OffAct, incident:O, response:O, in:O, 2018:B-Time, and:O, ,:O, to:O, date:O, ,:O, solely:O, utilized:O, by:O, APT34:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PICKPOCKET is a credential theft tool that dumps the user's website login credentials from Chrome , Firefox , and Internet Explorer to a file .' [/INST] [PICKPOCKET:B-SamFile, is:O, a:O, credential:O, theft:O, tool:O, that:O, dumps:B-Features, the:O, user's:O, website:O, login:O, credentials:O, from:O, Chrome:O, ,:O, Firefox:O, ,:O, and:O, Internet:O, Explorer:O, to:O, a: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: 'FireEye detects this activity across our platforms , including named detection for TONEDEAF , VALUEVAULT , and LONGWATCH .' [/INST] [FireEye:B-SecTeam, detects:O, this:O, activity:O, across:O, our:O, platforms:O, ,:O, including:O, named:O, detection:O, for:O, TONEDEAF:B-SamFile, ,:O, VALUEVAULT:B-SamFile, ,:O, and:O, LONGWATCH:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Several spear-phishing campaigns attributed to Carbanak , all occurring between March and May 2018 , were analyzed by security researchers in 2018 .' [/INST] [Several:O, spear-phishing:B-Way, campaigns:O, attributed:O, to:O, Carbanak:B-HackOrg, ,:O, all:O, occurring:O, between:O, March:B-Time, and:O, May:B-Time, 2018:I-Time, ,:O, were:O, analyzed:O, by:O, security:O, researchers:O, in:O, 2018:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One of the most prolific APT-style cyberattacks , specifically targeting the financial sector , is known as Carbanak .' [/INST] [One:O, of:O, the:O, most:O, prolific:O, APT-style:O, cyberattacks:O, ,:O, specifically:O, targeting:O, the:O, financial:B-Idus, sector:O, ,:O, is:O, known:O, as:O, Carbanak:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Discovered in 2014 , the campaign quickly gained notoriety after compromising the security systems of 100 banks in 40 countries and stealing up to $1 billion in the process .' [/INST] [Discovered:O, in:O, 2014:B-Time, ,:O, the:O, campaign:B-OffAct, quickly:O, gained:O, notoriety:O, after:O, compromising:O, the:O, security:O, systems:O, of:O, 100:O, banks:B-Idus, in:O, 40:O, countries:O, and:O, stealing:O, up:O, to:O, $1:O, billion:O, in:O, the:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 same group is believed to have also been using the Cobalt Strike framework to run sophisticated campaigns , plotting and performing financial heists of financial institutions .' [/INST] [The:O, same:O, group:B-HackOrg, is:O, believed:O, to:O, have:O, also:O, been:O, using:O, the:O, Cobalt:O, Strike:O, framework:B-Tool, to:O, run:O, sophisticated:B-OffAct, campaigns:I-OffAct, ,:O, plotting:O, and:O, performing:O, financial:B-Idus, heists:O, of:O, financial:O, institutions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Banks in countries such as Russia , the United Kingdom , the Netherlands , Spain , Romania , Belarus , Poland , Estonia , Bulgaria , Georgia , Moldova , Kyrgyzstan , Armenia , Taiwan and Malaysia have allegedly been targeted with spearphishing emails , luring victims into clicking malicious URLs and executing booby-trapped documents .' [/INST] [Banks:B-Idus, in:O, countries:O, such:O, as:O, Russia:B-Area, ,:O, the:O, United:B-Area, Kingdom:I-Area, ,:O, the:O, Netherlands:B-Area, ,:O, Spain:B-Area, ,:O, Romania:B-Area, ,:O, Belarus:B-Area, ,:O, Poland:B-Area, ,:O, Estonia:B-Area, ,:O, Bulgaria:B-Area, ,:O, Georgia:B-Area, ,:O, Moldova:B-Area, ,:O, Kyrgyzstan:B-Area, ,:O, Armenia:B-Area, ,:O, Taiwan:B-Area, and:O, Malaysia:B-Area, have:O, allegedly:O, been:O, targeted:O, with:O, spearphishing:B-SamFile, emails:I-SamFile, ,:O, luring:O, victims:O, into:O, clicking:O, malicious:O, URLs:O, and:O, executing:O, booby-trapped:O, documents:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A Carbanak trademark in cyberattacks remains the use of Cobalt Strike – a powerful pentesting tool designed for exploiting and executing malicious code , simulating post-exploitation actions of advanced threat actors – which allows them to infiltrate the organization , move laterally , exfiltrate data , and deploy anti-forensic and evasion tools .' [/INST] [A:O, Carbanak:B-HackOrg, trademark:O, in:O, cyberattacks:O, remains:O, the:O, use:O, of:O, Cobalt:B-Tool, Strike:I-Tool, –:O, a:O, powerful:O, pentesting:O, tool:O, designed:O, for:O, exploiting:O, and:O, executing:O, malicious:O, code:O, ,:O, simulating:O, post-exploitation:O, actions:O, of:O, advanced:O, threat:O, actors:O, –:O, which:O, allows:O, them:O, to:O, infiltrate:O, the:O, organization:O, ,:O, move:O, laterally:O, ,:O, exfiltrate:B-Way, data:I-Way, ,:O, and:O, deploy:B-Way, anti-forensic:O, and:O, evasion:O, tools:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , this action doesn’t appear to have made a dent in the cybercriminal organization , as subsequent spear-phishing campaigns seem to have been reported from March until May 2018 .' [/INST] [However:O, ,:O, this:O, action:O, doesn’t:O, appear:O, to:O, have:O, made:O, a:O, dent:O, in:O, the:O, cybercriminal:O, organization:O, ,:O, as:O, subsequent:O, spear-phishing:B-OffAct, campaigns:O, seem:O, to:O, have:O, been:O, reported:O, from:O, March:B-Time, until:O, May:B-Time, 2018:I-Time, .:O] </s> |
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