Datasets:

pritamdeka

/

dataset_dnrti_train

like 0

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 lack of any significant evidence of shared code between any of these backdoor families is another clue as to the scope of the resources on which the activity group is able to draw , and the precautions the group is willing and able to take in order to avoid losing its ability to conduct its espionage operations .' [/INST] [The:O, lack:O, of:O, any:O, significant:O, evidence:O, of:O, shared:O, code:O, between:O, any:O, of:O, these:O, backdoor:O, families:O, is:O, another:O, clue:O, as:O, to:O, the:O, scope:O, of:O, the:O, resources:O, on:O, which:O, the:O, activity:B-HackOrg, group:I-HackOrg, is:O, able:O, to:O, draw:O, ,:O, and:O, the:O, precautions:O, the:O, group:B-HackOrg, is:O, willing:O, and:O, able:O, to:O, take:O, in:O, order:O, to:O, avoid:O, losing:O, its:O, ability:O, to:O, conduct:B-Purp, its:I-Purp, espionage:I-Purp, operations: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: 'PLATINUM has developed or commissioned a number of custom tools to provide the group with access to victim resources .' [/INST] [PLATINUM:B-HackOrg, has:O, developed:O, or:O, commissioned:O, a:O, number:O, of:O, custom:B-Tool, tools:I-Tool, to:O, provide:B-Purp, the:I-Purp, group:I-Purp, with:I-Purp, access:I-Purp, to:O, victim:O, resources:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 updated tool has only been seen in a handful of victim computers within organizational networks in Southeast Asia—PLATINUM is known to customize tools based on the network architecture of targeted organizations .' [/INST] [The:O, updated:O, tool:O, has:O, only:O, been:O, seen:O, in:O, a:O, handful:O, of:O, victim:O, computers:O, within:O, organizational:O, networks:O, in:O, Southeast:B-Area, Asia—PLATINUM:I-Area, is:O, known:O, to:O, customize:B-Purp, tools:I-Purp, based:O, on:O, the:O, network:O, architecture:O, of:O, targeted:O, organizations:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The PLATINUM tool is , to our knowledge , the first malware sample observed to misuse chipset features in this way .' [/INST] [The:O, PLATINUM:B-Tool, tool:I-Tool, is:O, ,:O, to:O, our:O, knowledge:O, ,:O, the:O, first:O, malware:B-Tool, sample:O, observed:O, to:O, misuse:B-Purp, chipset:I-Purp, features:I-Purp, in:O, this:O, way:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Poseidon Group actively targets this sort of corporate environment for the theft of intellectual property and commercial information , occasionally focusing on personal information on executives .' [/INST] [The:O, Poseidon:B-HackOrg, Group:I-HackOrg, actively:O, targets:O, this:O, sort:O, of:O, corporate:O, environment:O, for:O, the:O, theft:O, of:O, intellectual:B-Purp, property:I-Purp, and:O, commercial:B-Purp, information:I-Purp, ,:O, occasionally:O, focusing:O, on:O, personal:O, information:O, on:O, executives:B-Org, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This particular unit is believed to hack into victim companies throughout the world in order to steal corporate trade secrets , primarily relating to the satellite , aerospace and communication industries .' [/INST] [This:O, particular:O, unit:O, is:O, believed:O, to:O, hack:O, into:O, victim:O, companies:O, throughout:O, the:O, world:O, in:O, order:O, to:O, steal:B-Purp, corporate:I-Purp, trade:I-Purp, secrets:I-Purp, ,:O, primarily:B-Purp, relating:I-Purp, to:I-Purp, the:I-Purp, satellite:I-Purp, ,:O, aerospace:B-Idus, and:O, communication:B-Idus, industries:I-Idus, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PUTTER PANDA is a determined adversary group , conducting intelligence-gathering operations targeting the Government , Defense , Research , and Technology sectors in the United States , with specific targeting of the US Defense and European satellite and aerospace industries .' [/INST] [PUTTER:B-HackOrg, PANDA:I-HackOrg, is:O, a:O, determined:O, adversary:O, group:B-HackOrg, ,:O, conducting:O, intelligence-gathering:B-Purp, operations:O, targeting:O, the:O, Government:B-Idus, ,:O, Defense:B-Idus, ,:O, Research:B-Idus, ,:O, and:O, Technology:B-Org, sectors:I-Org, in:O, the:O, United:B-Area, States:I-Area, ,:O, with:O, specific:O, targeting:O, of:O, the:O, US:B-Idus, Defense:I-Idus, and:O, European:B-Area, satellite:B-Idus, and:O, aerospace:B-Idus, industries:I-Idus, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'But according to Gnosticplayers , his foray into a public marketplace like Dream has two goals --besides the first and obvious one being money .' [/INST] [But:O, according:O, to:O, Gnosticplayers:O, ,:O, his:O, foray:O, into:O, a:O, public:O, marketplace:O, like:O, Dream:O, has:O, two:O, goals:O, --besides:O, the:O, first:O, and:O, obvious:O, one:O, being:B-Purp, money:I-Purp, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , CTU analysis indicates that GOLD LOWELL is motivated by financial gain , and there is no evidence of the threat actors using network access for espionage or data theft .' [/INST] [However:O, ,:O, CTU:B-SecTeam, analysis:O, indicates:O, that:O, GOLD:B-HackOrg, LOWELL:I-HackOrg, is:O, motivated:O, by:O, financial:B-Purp, gain:I-Purp, ,:O, and:O, there:O, is:O, no:O, evidence:O, of:O, the:O, threat:O, actors:O, using:O, network:O, access:O, for:O, espionage:O, or:O, data:O, theft:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 an organization rather than individuals , and the high ransom demands , made BitPaymer stand out from other contemporary ransomware at the time .' [/INST] [The:O, targeting:O, of:O, an:O, organization:O, rather:O, than:O, individuals:O, ,:O, and:O, the:O, high:B-Purp, ransom:I-Purp, demands:I-Purp, ,:O, made:O, BitPaymer:B-Tool, stand:O, out:O, from:O, other:O, contemporary:O, ransomware:O, at:O, the: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: 'Ransom demands have varied significantly , suggesting that INDRIK SPIDER likely calculates the ransom amount based on the size and value of the victim organization .' [/INST] [Ransom:B-Purp, demands:O, have:O, varied:O, significantly:O, ,:O, suggesting:O, that:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, likely:O, calculates:O, the:O, ransom:O, amount:O, based:O, on:O, the:O, size:O, and:O, value:O, of:O, the:O, victim:O, organization:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since they were first identified in January 2-16 , this adversary has consistently targeted large organizations for high ransom demands .' [/INST] [Since:O, they:O, were:O, first:O, identified:O, in:O, January:B-Time, 2-16:I-Time, ,:O, this:O, adversary:O, has:O, consistently:O, targeted:O, large:O, organizations:O, for:O, high:B-Purp, ransom:I-Purp, demands:I-Purp, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The BokBot malware provides LUNAR SPIDER affiliates with a variety of capabilities to enable credential theft and wire fraud , through the use of webinjects and a malware distribution function .' [/INST] [The:O, BokBot:B-Tool, malware:I-Tool, provides:O, LUNAR:O, SPIDER:O, affiliates:O, with:O, a:O, variety:O, of:O, capabilities:O, to:O, enable:O, credential:B-Purp, theft:I-Purp, and:O, wire:O, fraud:O, ,:O, through:O, the:O, use:O, of:O, webinjects:O, and:O, a:O, malware:O, distribution:O, function:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Instead , OurMine had managed to alter WikiLeaks 's DNS records ( held by a third-party registrar ) to direct anyone who tried to visit wikileaks.org to visit a different IP address which definitely wasn't under the control of Julian Assange and his cronies .' [/INST] [Instead:O, ,:O, OurMine:B-HackOrg, had:O, managed:O, to:O, alter:O, WikiLeaks:B-SecTeam, 's:O, DNS:O, records:O, (:O, held:O, by:O, a:O, third-party:O, registrar:O, ):O, to:O, direct:O, anyone:O, who:O, tried:O, to:O, visit:O, wikileaks.org:O, to:O, visit:B-Purp, a:I-Purp, different:I-Purp, IP:I-Purp, address:I-Purp, which:O, definitely:O, wasn't:O, under:O, the:O, control:O, of:O, Julian:O, Assange:O, and:O, his:O, cronies:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Alternatively , OurMine might have used social engineering to trick WikiLeaks 's DNS provider into handing over the credentials , or simple requested that a password reset link be sent to a compromised email address .' [/INST] [Alternatively:O, ,:O, OurMine:O, might:O, have:O, used:O, social:B-Way, engineering:I-Way, to:O, trick:O, WikiLeaks:B-SecTeam, 's:O, DNS:B-Org, provider:I-Org, into:O, handing:B-Purp, over:I-Purp, the:I-Purp, credentials:I-Purp, ,:O, or:O, simple:O, requested:O, that:O, a:O, password:O, reset:O, link:O, be:O, sent:O, to:O, a:O, compromised:O, email:O, address:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Alternatively , the attackers might have used social engineering to trick WikiLeaks 's DNS provider into handing over the credentials , or simple requested that a password reset link be sent to a compromised email address .' [/INST] [Alternatively:O, ,:O, the:O, attackers:O, might:O, have:O, used:O, social:B-Way, engineering:I-Way, to:O, trick:O, WikiLeaks:B-SecTeam, 's:O, DNS:B-Org, provider:I-Org, into:O, handing:B-Purp, over:I-Purp, the:I-Purp, credentials:I-Purp, ,:O, or:O, simple:O, requested:O, that:O, a:O, password:O, reset:O, link:O, be:O, sent:O, to:O, a:O, compromised:O, email:O, address:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group 's primary goal is demonstrating to companies that they have weak security .' [/INST] [The:O, group:O, 's:O, primary:O, goal:O, is:O, demonstrating:B-Purp, to:I-Purp, companies:I-Purp, that:I-Purp, they:I-Purp, have:I-Purp, weak:I-Purp, security:I-Purp, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The ultimate goal of this threat is to mine Monero cryptocurrency in compromised Linux machines .' [/INST] [The:O, ultimate:O, goal:O, of:O, this:O, threat:O, is:O, to:O, mine:B-Purp, Monero:I-Purp, cryptocurrency:I-Purp, in:O, compromised:O, Linux:O, machines:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It is worth noting that during our investigation f-secure uncovered links between infrastructure associated with the Callisto Group and infrastructure used to host online stores selling controlled substances .' [/INST] [It:O, is:O, worth:O, noting:O, that:O, during:O, our:O, investigation:O, f-secure:O, uncovered:O, links:O, between:O, infrastructure:O, associated:O, with:O, the:O, Callisto:B-HackOrg, Group:O, and:O, infrastructure:O, used:O, to:O, host:O, online:O, stores:O, selling:B-Purp, controlled:O, substances:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 then starts a new web browser instance on the attacker’s system and submits credentials on the real VPN portal .' [/INST] [The:O, tool:O, then:O, starts:O, a:O, new:O, web:O, browser:O, instance:O, on:O, the:O, attacker’s:B-HackOrg, system:O, and:O, submits:B-Purp, credentials:I-Purp, on:O, the:O, real:O, VPN:O, portal:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware checks whether its running on a 32-bit or 64-bit system to determine which PowerShell script to grab from the command and control (C2) server .' [/INST] [The:O, malware:O, checks:O, whether:O, its:O, running:O, on:O, a:O, 32-bit:O, or:O, 64-bit:O, system:O, to:O, determine:O, which:O, PowerShell:B-Tool, script:I-Tool, to:O, grab:B-Purp, from:I-Purp, the:O, command:O, and:O, control:O, (C2):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: 'First , the attacker’s mission is to disrupt an operational process rather than steal data .' [/INST] [First:O, ,:O, the:O, attacker’s:B-HackOrg, mission:O, is:O, to:O, disrupt:B-Purp, an:O, operational:O, process:O, rather:O, than:O, steal:O, data:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Georgian military security issues , particularly with regard to U.S. cooperation and NATO , provide a strong incentive for Russian state-sponsored threat actors to steal information that sheds light on these topics .' [/INST] [Georgian:O, military:O, security:O, issues:O, ,:O, particularly:O, with:O, regard:O, to:O, U.S.:B-Area, cooperation:O, and:O, NATO:O, ,:O, provide:O, a:O, strong:O, incentive:O, for:O, Russian:B-Area, state-sponsored:O, threat:B-HackOrg, actors:I-HackOrg, to:O, steal:B-Purp, information:I-Purp, that:O, sheds:O, light:O, on:O, these:O, topics:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 espionage group , which according to the U.S. Department of Homeland Security ( DHS ) and the Federal Bureau of Investigation ( FBI ) is linked to the Russian government , returned to low-key intelligence-gathering operations during 2017 and into 2018 , targeting a range of military and government targets in Europe and South America .' [/INST] [The:O, espionage:B-HackOrg, group:I-HackOrg, ,:O, which:O, according:O, to:O, the:O, U.S.:B-Area, Department:B-SecTeam, of:I-SecTeam, Homeland:I-SecTeam, Security:I-SecTeam, (:O, DHS:B-SecTeam, ):O, and:O, the:O, Federal:O, Bureau:O, of:O, Investigation:O, (:O, FBI:B-SecTeam, ):O, is:O, linked:O, to:O, the:O, Russian:B-Area, government:O, ,:O, returned:O, to:O, low-key:O, intelligence-gathering:B-Purp, operations:O, during:O, 2017:B-Time, and:O, into:O, 2018:B-Time, ,:O, targeting:O, a:O, range:O, of:O, military:B-Idus, and:O, government:B-Idus, targets:O, in:O, Europe:B-Area, and:O, South:B-Area, America: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 APT28 , which is linked to the Russian government , returned to low-key intelligence-gathering operations during 2017 and into 2018 , targeting a range of military and government targets in Europe and South America .' [/INST] [The:O, APT28:B-HackOrg, ,:O, which:O, is:O, linked:O, to:O, the:O, Russian:B-Area, government:O, ,:O, returned:O, to:O, low-key:O, intelligence-gathering:B-Purp, operations:O, during:O, 2017:B-Time, and:O, into:O, 2018:B-Time, ,:O, targeting:O, a:O, range:O, of:O, military:B-Idus, and:O, government:B-Idus, targets:O, in:O, Europe:B-Area, and:O, South:B-Area, America: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: 'Another attack group , Earworm ( aka Zebrocy ) , has been active since at least May 2016 and is involved in what appears to be intelligence gathering operations against military targets in Europe , Central Asia , and Eastern Asia .' [/INST] [Another:O, attack:B-HackOrg, group:I-HackOrg, ,:O, Earworm:B-HackOrg, (:O, aka:O, Zebrocy:B-HackOrg, ):O, ,:O, has:O, been:O, active:O, since:O, at:O, least:O, May:B-Time, 2016:I-Time, and:O, is:O, involved:O, in:O, what:O, appears:O, to:O, be:O, intelligence:B-Purp, gathering:I-Purp, operations:O, against:O, military:O, targets:O, in:O, Europe:B-Area, ,:O, Central:B-Area, Asia:I-Area, ,:O, and:O, Eastern:B-Area, Asia:I-Area, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT28 is using novel techniques involving the EternalBlue exploit and the open source tool Responder to spread laterally through networks and likely target travelers .' [/INST] [APT28:B-HackOrg, is:O, using:O, novel:O, techniques:O, involving:O, the:O, EternalBlue:B-Exp, exploit:I-Exp, and:O, the:O, open:B-Tool, source:I-Tool, tool:I-Tool, Responder:B-Tool, to:O, spread:B-Purp, laterally:I-Purp, through:I-Purp, networks:I-Purp, and:O, likely:O, target:O, travelers:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 whitepaper explores the tools - such as MiniDuke , CosmicDuke , OnionDuke , CozyDuke , etc- of the Dukes , a well-resourced , highly dedicated and organized cyberespionage group that we believe has been working for the Russian Federation since at least 2008 to collect intelligence in support of foreign and security policy decision-making .' [/INST] [This:O, whitepaper:O, explores:O, the:O, tools:O, -:O, such:O, as:O, MiniDuke:B-Tool, ,:O, CosmicDuke:B-Tool, ,:O, OnionDuke:B-Tool, ,:O, CozyDuke:B-Tool, ,:O, etc-:O, of:O, the:O, Dukes:B-HackOrg, ,:O, a:O, well-resourced:O, ,:O, highly:O, dedicated:O, and:O, organized:O, cyberespionage:B-HackOrg, group:I-HackOrg, that:O, we:O, believe:O, has:O, been:O, working:O, for:O, the:O, Russian:B-Area, Federation:O, since:O, at:O, least:O, 2008:B-Time, to:O, collect:B-Purp, intelligence:I-Purp, in:O, support:O, of:O, foreign:O, and:O, security:O, policy:O, decision-making:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Dukes are a well-resourced , highly dedicated and organized cyberespionage group that we believe has been working for the Russian Federation since at least 2008 to collect intelligence in support of foreign and security policy decision-making .' [/INST] [The:O, Dukes:B-HackOrg, are:O, a:O, well-resourced:O, ,:O, highly:O, dedicated:O, and:O, organized:O, cyberespionage:B-HackOrg, group:I-HackOrg, that:O, we:O, believe:O, has:O, been:O, working:O, for:O, the:O, Russian:B-Area, Federation:O, since:O, at:O, least:O, 2008:B-Time, to:O, collect:B-Purp, intelligence:I-Purp, in:O, support:O, of:O, foreign:O, and:O, security:O, policy:O, decision-making:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the targeting of multiple companies with aviation-related partnerships to Saudi Arabia indicates that APT33 may possibly be looking to gain insights on Saudi Arabia 's military aviation capabilities to enhance Iran 's domestic aviation capabilities or to support Iran 's military and strategic decision making vis a vis Saudi Arabia .' [/INST] [We:O, assess:O, the:O, targeting:O, of:O, multiple:O, companies:O, with:O, aviation-related:O, partnerships:O, to:O, Saudi:B-Area, Arabia:I-Area, indicates:O, that:O, APT33:B-HackOrg, may:O, possibly:O, be:O, looking:O, to:O, gain:O, insights:O, on:O, Saudi:B-Area, Arabia:I-Area, 's:O, military:B-Purp, aviation:I-Purp, capabilities:I-Purp, to:O, enhance:O, Iran:B-Area, 's:O, domestic:B-Purp, aviation:I-Purp, capabilities:I-Purp, or:O, to:O, support:O, Iran:B-Area, 's:O, military:B-Idus, and:O, strategic:O, decision:O, making:O, vis:O, a:O, vis: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: 'APT33 may possibly be looking to gain insights on Saudi Arabia 's military aviation capabilities to enhance Iran 's domestic aviation capabilities or to support Iran 's military and strategic decision making vis a vis Saudi Arabia .' [/INST] [APT33:B-HackOrg, may:O, possibly:O, be:O, looking:O, to:O, gain:O, insights:O, on:O, Saudi:B-Area, Arabia:I-Area, 's:O, military:B-Purp, aviation:I-Purp, capabilities:I-Purp, to:O, enhance:O, Iran:B-Area, 's:O, domestic:B-Purp, aviation:I-Purp, capabilities:I-Purp, or:O, to:O, support:O, Iran:B-Area, 's:O, military:B-Idus, and:O, strategic:O, decision:O, making:O, vis:O, a:O, vis: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: 'APT33 registered multiple domains that masquerade as Saudi Arabian aviation companies and Western organizations that together have partnerships to provide training , maintenance and support for Saudi 's military and commercial fleet .' [/INST] [APT33:B-HackOrg, registered:O, multiple:O, domains:O, that:O, masquerade:O, as:O, Saudi:B-Area, Arabian:I-Area, aviation:B-Org, companies:I-Org, and:O, Western:B-Area, organizations:O, that:O, together:O, have:O, partnerships:O, to:O, provide:O, training:O, ,:O, maintenance:O, and:O, support:O, for:O, Saudi:B-Area, 's:O, military:B-Purp, and:O, commercial:B-Purp, fleet: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: 'APT33 's focus on aviation may indicate the group 's desire to gain insight into regional military capabilities to enhance Iran 's aviation capabilities or to support Iran 's military and strategic decision making .' [/INST] [APT33:B-HackOrg, 's:O, focus:O, on:O, aviation:B-Idus, may:O, indicate:O, the:O, group:O, 's:O, desire:O, to:O, gain:O, insight:O, into:O, regional:O, military:B-Idus, capabilities:O, to:O, enhance:O, Iran:B-Area, 's:O, aviation:B-Purp, capabilities:I-Purp, or:O, to:O, support:O, Iran:B-Area, 's:O, military:B-Idus, and:O, strategic:B-Purp, decision:I-Purp, making: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: 'APT33 's focus on aviation may indicate the group 's desire to gain insight into regional military aviation capabilities to enhance Iran 's aviation capabilities or to support Iran 's military and strategic decision making .' [/INST] [APT33:B-HackOrg, 's:O, focus:O, on:O, aviation:B-Idus, may:O, indicate:O, the:O, group:O, 's:O, desire:O, to:O, gain:O, insight:O, into:O, regional:O, military:B-Purp, aviation:I-Purp, capabilities:I-Purp, to:O, enhance:O, Iran:B-Area, 's:O, aviation:B-Idus, capabilities:O, or:O, to:O, support:O, Iran:B-Area, 's:O, military:B-Idus, and:O, strategic:O, decision:O, making:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 possible that APT37 's distribution of KARAE malware via torrent websites could assist in creating and maintaining botnets for future distributed denial-of-service ( DDoS ) attacks , or for other activity such as financially motivated campaigns or disruptive operations .' [/INST] [It:O, is:O, possible:O, that:O, APT37:B-HackOrg, 's:O, distribution:O, of:O, KARAE:B-Tool, malware:I-Tool, via:O, torrent:O, websites:O, could:O, assist:O, in:O, creating:O, and:O, maintaining:O, botnets:O, for:O, future:O, distributed:B-Way, denial-of-service:I-Way, (:O, DDoS:B-Way, ):O, attacks:B-OffAct, ,:O, or:O, for:O, other:O, activity:B-OffAct, such:O, as:O, financially:B-Purp, motivated:O, campaigns:B-OffAct, or:O, disruptive: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: 'Operation Daybreak appears to have been launched by unknown attackers to infect high profile targets through spear-phishing e-mails .' [/INST] [Operation:B-OffAct, Daybreak:I-OffAct, appears:O, to:O, have:O, been:O, launched:O, by:O, unknown:O, attackers:B-HackOrg, to:O, infect:B-Purp, high:I-Purp, profile:I-Purp, targets:I-Purp, through:O, spear-phishing:B-Way, e-mails: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: 'Operation Daybreak appears to have been launched by APT37 to infect high profile targets through spear-phishing e-mails .' [/INST] [Operation:B-OffAct, Daybreak:I-OffAct, appears:O, to:O, have:O, been:O, launched:O, by:O, APT37:B-HackOrg, to:O, infect:B-Purp, high:I-Purp, profile:I-Purp, targets:I-Purp, through:O, spear-phishing:B-Way, e-mails: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: 'APT38 is a financially motivated North Korean regime-backed group responsible for conducting destructive attacks against financial institutions , as well as some of the world 's largest cyber heists .' [/INST] [APT38:B-HackOrg, is:O, a:O, financially:B-Purp, motivated:I-Purp, North:B-Area, Korean:I-Area, regime-backed:B-HackOrg, group:I-HackOrg, responsible:O, for:O, conducting:O, destructive:B-OffAct, attacks:I-OffAct, against:O, financial:B-Org, institutions:I-Org, ,:O, as:O, well:O, as:O, some:O, of:O, the:O, world:O, 's:O, largest:O, cyber:B-HackOrg, heists: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: 'APT38 is a financially motivated North Korean regime-backed group responsible for conducting destructive attacks against financial institutions , as well as some of the world .' [/INST] [APT38:B-HackOrg, is:O, a:O, financially:B-Purp, motivated:I-Purp, North:B-Area, Korean:I-Area, regime-backed:B-HackOrg, group:I-HackOrg, responsible:O, for:O, conducting:O, destructive:B-OffAct, attacks:I-OffAct, against:O, financial:B-Org, institutions:I-Org, ,:O, as:O, well:O, as:O, some:O, of:O, the:O, world:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT38 is believed to operate more similarly to an espionage operation , carefully conducting reconnaissance within compromised financial institutions and balancing financially motivated objectives with learning about internal systems .' [/INST] [APT38:B-HackOrg, is:O, believed:O, to:O, operate:O, more:O, similarly:O, to:O, an:O, espionage:O, operation:O, ,:O, carefully:O, conducting:O, reconnaissance:O, within:O, compromised:O, financial:B-Org, institutions:I-Org, and:O, balancing:B-Purp, financially:I-Purp, motivated:I-Purp, objectives:I-Purp, with:O, learning:O, about:O, internal: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: 'APT38 is a financially motivated group linked to North Korean cyber espionage operators , renown for attempting to steal hundreds of millions of dollars from financial institutions and their brazen use of destructive malware .' [/INST] [APT38:B-HackOrg, is:O, a:O, financially:B-Purp, motivated:I-Purp, group:B-HackOrg, linked:O, to:O, North:B-Area, Korean:I-Area, cyber:B-HackOrg, espionage:I-HackOrg, operators:I-HackOrg, ,:O, renown:O, for:O, attempting:O, to:O, steal:B-Purp, hundreds:I-Purp, of:I-Purp, millions:I-Purp, of:I-Purp, dollars:I-Purp, from:O, financial:B-Org, institutions:I-Org, and:O, their:O, brazen:O, use:O, of:O, destructive: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: 'Based on observed activity , we judge that APT38 's primary mission is targeting financial institutions and manipulating inter-bank financial systems to raise large sums of money for the North Korean regime .' [/INST] [Based:O, on:O, observed:O, activity:B-OffAct, ,:O, we:O, judge:O, that:O, APT38:B-HackOrg, 's:O, primary:O, mission:O, is:O, targeting:O, financial:B-Org, institutions:I-Org, and:O, manipulating:O, inter-bank:O, financial:O, systems:O, to:O, raise:B-Purp, large:I-Purp, sums:I-Purp, of:I-Purp, money:I-Purp, for:O, the:O, North:B-Area, Korean:I-Area, regime:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2015 , APT38 has attempted to steal hundreds of millions of dollars from financial institutions .' [/INST] [Since:O, 2015:B-Time, ,:O, APT38:B-HackOrg, has:O, attempted:O, to:O, steal:B-Purp, hundreds:I-Purp, of:I-Purp, millions:I-Purp, of:I-Purp, dollars:I-Purp, from: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: 'APT38 , in particular , is strongly distinguishable because of its specific focus on financial institutions and operations that attempt to use SWIFT fraud to steal millions of dollars at a time .' [/INST] [APT38:B-HackOrg, ,:O, in:O, particular:O, ,:O, is:O, strongly:O, distinguishable:O, because:O, of:O, its:O, specific:O, focus:O, on:O, financial:B-Org, institutions:I-Org, and:O, operations:O, that:O, attempt:O, to:O, use:O, SWIFT:B-Tool, fraud:O, to:O, steal:B-Purp, millions:I-Purp, of:I-Purp, dollars:I-Purp, at:O, a:O, time:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As previously mentioned , we assess with high confidence that APT38 's mission is focused on targeting financial institutions to raise money for the North Korean regime .' [/INST] [As:O, previously:O, mentioned:O, ,:O, we:O, assess:O, with:O, high:O, confidence:O, that:O, APT38:B-HackOrg, 's:O, mission:O, is:O, focused:O, on:O, targeting:O, financial:B-Org, institutions:I-Org, to:O, raise:B-Purp, money:I-Purp, for:O, the:O, North:B-Area, Korean:I-Area, regime:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 previously mentioned , we assess with high confidence that APT38 's mission is focused on targeting financial institutions and financial systems to raise money for the North Korean regime .' [/INST] [As:O, previously:O, mentioned:O, ,:O, we:O, assess:O, with:O, high:O, confidence:O, that:O, APT38:B-HackOrg, 's:O, mission:O, is:O, focused:O, on:O, targeting:O, financial:B-Org, institutions:I-Org, and:O, financial:O, systems:O, to:O, raise:B-Purp, money:I-Purp, for:O, the:O, North:B-Area, Korean:I-Area, regime:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the beginning of 2014 , APT38 operations have focused almost exclusively on developing and conducting financially motivated campaigns targeting international entities , whereas TEMP.Hermit is generally linked to operations focused on South Korea and the United States .' [/INST] [Since:O, at:O, least:O, the:O, beginning:B-Time, of:I-Time, 2014:I-Time, ,:O, APT38:B-HackOrg, operations:O, have:O, focused:O, almost:O, exclusively:O, on:O, developing:O, and:O, conducting:O, financially:B-Purp, motivated:O, campaigns:B-OffAct, targeting:O, international:B-Org, entities:I-Org, ,:O, whereas:O, TEMP.Hermit:B-HackOrg, is:O, generally:O, linked:O, to:O, operations:O, focused:O, on:O, South:B-Area, Korea:I-Area, and: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: 'APT38 relies on DYEPACK , a SWIFT transaction-hijacking framework , to initiate transactions , steal money , and hide any evidence of the fraudulent transactions from the victimized bank .' [/INST] [APT38:B-HackOrg, relies:O, on:O, DYEPACK:B-Tool, ,:O, a:O, SWIFT:O, transaction-hijacking:O, framework:O, ,:O, to:O, initiate:O, transactions:O, ,:O, steal:B-Purp, money:I-Purp, ,:O, and:O, hide:O, any:O, evidence:O, of:O, the:O, fraudulent:O, transactions:O, from:O, the:O, victimized: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: 'During this heist , APT38 waited for a holiday weekend in the respective countries to increase the likelihood of hiding the transactions from banking authorities .' [/INST] [During:O, this:O, heist:O, ,:O, APT38:B-HackOrg, waited:O, for:O, a:O, holiday:O, weekend:O, in:O, the:O, respective:O, countries:O, to:O, increase:B-Purp, the:I-Purp, likelihood:I-Purp, of:O, hiding:O, the:O, transactions:O, from:O, banking:B-Idus, authorities:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT39 's focus on the widespread theft of personal information sets it apart from other Iranian groups FireEye tracks , which have been linked to influence operations , disruptive attacks , and other threats .' [/INST] [APT39:B-HackOrg, 's:O, focus:O, on:O, the:O, widespread:O, theft:O, of:O, personal:B-Purp, information:I-Purp, sets:I-Purp, it:O, apart:O, from:O, other:O, Iranian:B-Area, groups:B-HackOrg, FireEye:B-SecTeam, tracks:O, ,:O, which:O, have:O, been:O, linked:O, to:O, influence:O, operations:O, ,:O, disruptive:O, attacks:B-OffAct, ,:O, and:O, other:O, threats:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT39 's focus on the telecommunications and travel industries suggests intent to perform monitoring , tracking , or surveillance operations against specific individuals , collect proprietary or customer data for commercial or operational purposes that serve strategic requirements related to national priorities , or create additional accesses and vectors to facilitate future campaigns .' [/INST] [APT39:B-HackOrg, 's:O, focus:O, on:O, the:O, telecommunications:B-Idus, and:I-Idus, travel:I-Idus, industries:I-Idus, suggests:O, intent:O, to:O, perform:O, monitoring:O, ,:O, tracking:O, ,:O, or:O, surveillance:O, operations:O, against:O, specific:B-Org, individuals:I-Org, ,:O, collect:B-Purp, proprietary:I-Purp, or:I-Purp, customer:I-Purp, data:I-Purp, for:O, commercial:B-Purp, or:I-Purp, operational:I-Purp, purposes:I-Purp, that:O, serve:O, strategic:O, requirements:O, related:O, to:O, national:O, priorities:O, ,:O, or:O, create:B-Purp, additional:I-Purp, accesses:I-Purp, and:I-Purp, vectors:I-Purp, to:O, facilitate:O, future:O, campaigns:B-OffAct, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Targeting data supports the belief that APT39 's key mission is to track or monitor targets of interest , collect personal information , including travel itineraries , and gather customer data from telecommunications firms .' [/INST] [Targeting:O, data:O, supports:O, the:O, belief:O, that:O, APT39:B-HackOrg, 's:O, key:O, mission:O, is:O, to:O, track:B-Purp, or:I-Purp, monitor:I-Purp, targets:I-Purp, of:O, interest:O, ,:O, collect:B-Purp, personal:I-Purp, information:I-Purp, ,:O, including:O, travel:B-Purp, itineraries:I-Purp, ,:O, and:O, gather:B-Purp, customer:I-Purp, data:I-Purp, from:O, telecommunications:B-Org, firms: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: 'BRONZE BUTLER uses credential theft tools such as Mimikatz and WCE to steal authentication information from the memory of compromised hosts .' [/INST] [BRONZE:B-HackOrg, BUTLER:I-HackOrg, uses:O, credential:B-Purp, theft:I-Purp, tools:O, such:O, as:O, Mimikatz:B-Tool, and:O, WCE:B-Tool, to:O, steal:B-Purp, authentication:I-Purp, information:I-Purp, from:O, the:O, memory:O, of:O, compromised:O, hosts:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Carbanak is a remote backdoor ( initially based on Carberp ) , designed for espionage , data exfiltration and to provide remote access to infected machines .' [/INST] [Carbanak:B-Exp, is:O, a:O, remote:O, backdoor:O, (:O, initially:O, based:O, on:O, Carberp:B-Tool, ):O, ,:O, designed:O, for:O, espionage:B-HackOrg, ,:O, data:B-Purp, exfiltration:I-Purp, and:O, to:O, provide:B-Purp, remote:I-Purp, access:I-Purp, to:O, infected:O, machines:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In some cases , the attackers used the Society for Worldwide Interbank Financial Telecommunication ( SWIFT ) network to transfer money to their accounts .' [/INST] [In:O, some:O, cases:O, ,:O, the:O, attackers:B-HackOrg, used:O, the:O, Society:O, for:O, Worldwide:B-Tool, Interbank:I-Tool, Financial:I-Tool, Telecommunication:I-Tool, (:O, SWIFT:B-Tool, ):O, network:O, to:O, transfer:B-Purp, money:I-Purp, to:I-Purp, their:I-Purp, accounts: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: 'If found on the target system , Carbanak will try to exploit a known vulnerability in Windows XP , Windows Server 2003 , Windows Vista , Windows Server 2008 , Windows 7 , Windows 8 , and Windows Server 2012 , CVE-2013-3660 , for local privilege escalation .' [/INST] [If:O, found:O, on:O, the:O, target:O, system:O, ,:O, Carbanak:B-Exp, will:O, try:O, to:O, exploit:O, a:O, known:O, vulnerability:O, in:O, Windows:O, XP:O, ,:O, Windows:O, Server:O, 2003:O, ,:O, Windows:O, Vista:O, ,:O, Windows:O, Server:O, 2008:O, ,:O, Windows:O, 7:O, ,:O, Windows:O, 8:O, ,:O, and:O, Windows:O, Server:O, 2012:O, ,:O, CVE-2013-3660:B-Exp, ,:O, for:O, local:B-Purp, privilege:I-Purp, escalation: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 enable connections to the infected computer using the Remote Desktop Protocol ( RDP ) , Carbanak sets Termservice service execution mode to Auto .' [/INST] [To:O, enable:O, connections:B-Purp, to:I-Purp, the:I-Purp, infected:I-Purp, computer:I-Purp, using:O, the:O, Remote:B-Tool, Desktop:I-Tool, Protocol:I-Tool, (:O, RDP:B-Tool, ):O, ,:O, Carbanak:B-Exp, sets:O, Termservice:O, service:O, execution:O, mode:O, to:O, Auto:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sometimes , they aim at establishing a foothold on the target 's computer to gain access into their organization , but , based on our data , this is usually not their main objective , as opposed to other Iranian threat groups , such as OilRig and CopyKittens .' [/INST] [Sometimes:O, ,:O, they:O, aim:O, at:O, establishing:O, a:O, foothold:O, on:O, the:O, target:O, 's:O, computer:O, to:O, gain:B-Purp, access:I-Purp, into:O, their:O, organization:O, ,:O, but:O, ,:O, based:O, on:O, our:O, data:O, ,:O, this:O, is:O, usually:O, not:O, their:O, main:O, objective:O, ,:O, as:O, opposed:O, to:O, other:O, Iranian:B-Area, threat:B-HackOrg, groups:I-HackOrg, ,:O, such:O, as:O, OilRig:B-HackOrg, and:O, CopyKittens: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: 'During intense intelligence gathering over the last 24 months , we observed the technical capabilities of the Operation Cleaver team rapidly evolve faster than any previously observed Iranian effort .' [/INST] [During:O, intense:O, intelligence:B-Purp, gathering:I-Purp, over:O, the:O, last:O, 24:O, months:O, ,:O, we:O, observed:O, the:O, technical:O, capabilities:O, of:O, the:O, Operation:B-HackOrg, Cleaver:I-HackOrg, team:O, rapidly:O, evolve:O, faster:O, than:O, any:O, previously:O, observed:O, Iranian:B-Area, effort:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Gallmaker used lure documents attempt to exploit the Microsoft Office Dynamic Data Exchange ( DDE ) protocol in order to gain access to victim machines .' [/INST] [Gallmaker:B-HackOrg, used:O, lure:B-Way, documents:I-Way, attempt:O, to:O, exploit:O, the:O, Microsoft:O, Office:O, Dynamic:O, Data:O, Exchange:O, (:O, DDE:O, ):O, protocol:O, in:O, order:O, to:O, gain:B-Purp, access:I-Purp, to:O, victim:O, machines:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Just a few months later , in February 2015 , we announced the discovery of Carbanak , a cyber-criminal gang that used custom malware and APT techniques to steal millions of dollars while infecting hundreds of financial institutions in at least 30 countries .' [/INST] [Just:O, a:O, few:O, months:O, later:O, ,:O, in:O, February:B-Time, 2015:I-Time, ,:O, we:O, announced:O, the:O, discovery:O, of:O, Carbanak:B-Exp, ,:O, a:O, cyber-criminal:B-HackOrg, gang:I-HackOrg, that:O, used:O, custom:O, malware:O, and:O, APT:B-Way, techniques:I-Way, to:O, steal:B-Purp, millions:I-Purp, of:I-Purp, dollars:I-Purp, while:O, infecting:O, hundreds:O, of:O, financial:B-Org, institutions:I-Org, in:O, at:O, least:O, 30:O, countries:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 investigations revealed that the attackers drove around several cities in Russia , stealing money from ATMs belonging to different banks .' [/INST] [Our:O, investigations:O, revealed:O, that:O, the:O, attackers:B-HackOrg, drove:O, around:O, several:O, cities:O, in:O, Russia:B-Area, ,:O, stealing:B-Purp, money:I-Purp, from:O, ATMs:O, belonging:O, to:O, different: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: 'Utilizing KillDisk in the attack scenario most likely served one of two purposes : the attackers covering their tracks after an espionage operation , or it was used directly for extortion or cyber-sabotage .' [/INST] [Utilizing:O, KillDisk:B-Tool, in:O, the:O, attack:B-OffAct, scenario:O, most:O, likely:O, served:O, one:O, of:O, two:O, purposes:O, ::O, the:O, attackers:B-HackOrg, covering:B-Purp, their:I-Purp, tracks:I-Purp, after:O, an:O, espionage:O, operation:O, ,:O, or:O, it:O, was:O, used:O, directly:O, for:O, extortion:B-Purp, or:O, cyber-sabotage:B-HackOrg, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Lazarus Group 's objective was to gain access to the target 's environment and obtain key military program insight or steal money .' [/INST] [The:O, Lazarus:B-HackOrg, Group:I-HackOrg, 's:O, objective:O, was:O, to:O, gain:B-Purp, access:I-Purp, to:O, the:O, target:O, 's:O, environment:O, and:O, obtain:B-Purp, key:I-Purp, military:I-Purp, program:I-Purp, insight:I-Purp, or:O, steal:B-Purp, money:I-Purp, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Just last week Lazarus were found stealing millions from ATMs across Asia and Africa .' [/INST] [Just:O, last:O, week:O, Lazarus:B-HackOrg, were:O, found:O, stealing:B-Purp, millions:I-Purp, from:O, ATMs:O, across:O, Asia:B-Area, and:O, Africa: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: 'The backdoors Lazarus are deploying are difficult to detect and a significant threat to the privacy and security of enterprises , allowing attackers to steal information , delete files , install malware , and more .' [/INST] [The:O, backdoors:O, Lazarus:B-HackOrg, are:O, deploying:O, are:O, difficult:O, to:O, detect:O, and:O, a:O, significant:O, threat:O, to:O, the:O, privacy:O, and:O, security:O, of:O, enterprises:B-Idus, ,:O, allowing:O, attackers:B-HackOrg, to:O, steal:B-Purp, information:I-Purp, ,:O, delete:B-Purp, files:I-Purp, ,:O, install:B-Purp, malware:I-Purp, ,:O, and:O, more:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Bankshot is designed to persist on a victim 's network for further exploitation ; thus the Advanced Threat Research team believes this operation is intended to gain access to specific financial organizations .' [/INST] [Bankshot:B-Tool, is:O, designed:O, to:O, persist:O, on:O, a:O, victim:O, 's:O, network:O, for:O, further:O, exploitation:O, ;:O, thus:O, the:O, Advanced:B-SecTeam, Threat:I-SecTeam, Research:I-SecTeam, team:O, believes:O, this:O, operation:O, is:O, intended:O, to:O, gain:B-Purp, access:I-Purp, to:O, specific:O, financial:B-Org, organizations:I-Org, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Leafminer 's post-compromise toolkit suggests that Leafminer is looking for email data , files , and database servers on compromised target systems .' [/INST] [The:O, Leafminer:B-HackOrg, 's:O, post-compromise:O, toolkit:O, suggests:O, that:O, Leafminer:B-HackOrg, is:O, looking:O, for:O, email:B-Purp, data:I-Purp, ,:O, files:B-Purp, ,:O, and:O, database:B-Purp, servers:I-Purp, on:O, compromised:O, target: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: 'Another intrusion approach used by Leafminer seems a lot less sophisticated than the previously described methods but can be just as effective : using specific hacktools to guess the login passwords for services exposed by a targeted system .' [/INST] [Another:O, intrusion:O, approach:O, used:O, by:O, Leafminer:B-HackOrg, seems:O, a:O, lot:O, less:O, sophisticated:O, than:O, the:O, previously:O, described:O, methods:O, but:O, can:O, be:O, just:O, as:O, effective:O, ::O, using:O, specific:O, hacktools:B-Tool, to:O, guess:B-Purp, the:I-Purp, login:I-Purp, passwords:I-Purp, for:O, services:O, exposed:O, by:O, a:O, targeted:O, system:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 group has not yet demonstrated an ICS capability , RASPITE 's recent targeting focus and methodology are clear indicators of necessary activity for initial intrusion operations into an IT network to prepare the way for later potential ICS events .' [/INST] [While:O, the:O, group:B-HackOrg, has:O, not:O, yet:O, demonstrated:O, an:O, ICS:B-Tool, capability:O, ,:O, RASPITE:B-HackOrg, 's:O, recent:O, targeting:O, focus:O, and:O, methodology:O, are:O, clear:B-Purp, indicators:I-Purp, of:I-Purp, necessary:I-Purp, activity:I-Purp, for:O, initial:O, intrusion:O, operations:O, into:O, an:O, IT:B-Idus, network:O, to:O, prepare:O, the:O, way:O, for:O, later:O, potential:O, ICS:B-Tool, events:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 is highlighting a cyber espionage operation targeting crucial technologies and traditional intelligence targets from a China-nexus state sponsored actor we call APT40 .' [/INST] [FireEye:B-SecTeam, is:O, highlighting:O, a:O, cyber:O, espionage:O, operation:O, targeting:O, crucial:B-Purp, technologies:I-Purp, and:O, traditional:B-Purp, intelligence:I-Purp, targets:O, from:O, a:O, China-nexus:B-Area, state:O, sponsored:O, actor:B-HackOrg, we:O, call:O, APT40: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: 'APT40 engages in broader regional targeting against traditional intelligence targets , especially organizations with operations in Southeast Asia .' [/INST] [APT40:B-HackOrg, engages:O, in:O, broader:O, regional:O, targeting:O, against:O, traditional:B-Purp, intelligence:I-Purp, targets:I-Purp, ,:O, especially:O, organizations:O, with:O, operations:O, in:O, Southeast:B-Area, Asia:I-Area, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The targeting of this individual suggests the actors are interested in breaching the French Ministry of Foreign Affairs itself or gaining insights into relations between France and Taiwan .' [/INST] [The:O, targeting:O, of:O, this:O, individual:B-Org, suggests:O, the:O, actors:B-HackOrg, are:O, interested:O, in:O, breaching:O, the:O, French:O, Ministry:O, of:O, Foreign:O, Affairs:O, itself:O, or:O, gaining:B-Purp, insights:I-Purp, into:I-Purp, relations:I-Purp, between:O, France:B-Area, and:O, Taiwan: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: 'During a recent campaign , APT32 leveraged social engineering emails with Microsoft ActiveMime file attachments to deliver malicious macros .' [/INST] [During:O, a:O, recent:O, campaign:B-OffAct, ,:O, APT32:B-HackOrg, leveraged:O, social:B-Way, engineering:I-Way, emails:I-Way, with:O, Microsoft:B-SamFile, ActiveMime:I-SamFile, file:I-SamFile, attachments:O, to:O, deliver:B-Purp, malicious:I-Purp, macros: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: 'APT35 also installed BROKEYOLK , a custom backdoor , to maintain persistence on the compromised host .' [/INST] [APT35:B-HackOrg, also:O, installed:O, BROKEYOLK:O, ,:O, a:O, custom:B-Tool, backdoor:I-Tool, ,:O, to:O, maintain:B-Purp, persistence:I-Purp, on:I-Purp, the:I-Purp, compromised:I-Purp, host: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: 'They then proceeded to log directly into the VPN using the credentials of the compromised user .' [/INST] [They:O, then:O, proceeded:O, to:O, log:B-Purp, directly:I-Purp, into:I-Purp, the:I-Purp, VPN:I-Purp, using:O, the:O, credentials:B-Tool, of:I-Tool, the:I-Tool, compromised:I-Tool, user: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: 'Ultimately , APT35 had used access to hundreds of mailboxes to read email communications and steal data related to Middle East organizations , which later became victims of destructive attacks .' [/INST] [Ultimately:O, ,:O, APT35:B-HackOrg, had:O, used:O, access:O, to:O, hundreds:O, of:O, mailboxes:O, to:O, read:O, email:B-Idus, communications:I-Idus, and:O, steal:B-Purp, data:I-Purp, related:O, to:O, Middle:B-Area, East:I-Area, organizations:O, ,:O, which:O, later:O, became:O, victims:O, of: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: 'The group has repeatedly used social media , particularly LinkedIn , to identify and interact with employees at targeted organizations , and then used weaponized Excel documents to deliver RATs such as PupyRAT .' [/INST] [The:O, group:B-HackOrg, has:O, repeatedly:O, used:O, social:B-Idus, media:I-Idus, ,:O, particularly:O, LinkedIn:O, ,:O, to:O, identify:B-Purp, and:I-Purp, interact:I-Purp, with:I-Purp, employees:I-Purp, at:O, targeted:O, organizations:O, ,:O, and:O, then:O, used:O, weaponized:O, Excel:B-Way, documents:I-Way, to:O, deliver:O, RATs:B-Tool, such:O, as:O, PupyRAT: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: 'Sometimes , they aim at establishing a foothold on the target 's computer to gain access into their organization , but , based on our data , this is usually not their main objective , as opposed to other Iranian threat groups , such as Oilrig1 and CopyKittens2 .' [/INST] [Sometimes:O, ,:O, they:O, aim:O, at:O, establishing:O, a:O, foothold:O, on:O, the:O, target:O, 's:O, computer:O, to:O, gain:B-Purp, access:I-Purp, into:O, their:O, organization:O, ,:O, but:O, ,:O, based:O, on:O, our:O, data:O, ,:O, this:O, is:O, usually:O, not:O, their:O, main:O, objective:O, ,:O, as:O, opposed:O, to:O, other:O, Iranian:B-Area, threat:B-HackOrg, groups:I-HackOrg, ,:O, such:O, as:O, Oilrig1:B-HackOrg, and:O, CopyKittens2: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: 'To sum up , the HBO hacker - Behzad Mesri is a member of Turk Black Hat along with ArYaIeIrAn , who provides infrastructure for Charming Kitten activity via PersianDNS / Mahanserver together with Mohammad Rasoul Akbari , who is a Facebook friend of Behzad Mesri 's .' [/INST] [To:O, sum:O, up:O, ,:O, the:O, HBO:O, hacker:B-HackOrg, -:O, Behzad:B-HackOrg, Mesri:I-HackOrg, is:O, a:O, member:O, of:O, Turk:B-HackOrg, Black:I-HackOrg, Hat:I-HackOrg, along:O, with:O, ArYaIeIrAn:B-HackOrg, ,:O, who:O, provides:B-Purp, infrastructure:I-Purp, for:O, Charming:B-OffAct, Kitten:I-OffAct, activity:I-OffAct, via:O, PersianDNS:B-Tool, /:O, Mahanserver:B-Tool, together:O, with:O, Mohammad:O, Rasoul:O, Akbari:O, ,:O, who:O, is:O, a:O, Facebook:B-Org, friend:O, of:O, Behzad:B-HackOrg, Mesri:I-HackOrg, '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: 'They move laterally and escalate system privileges to extract sensitive information — whenever the attacker wants to do so.4 ,5 Because some RATs used in targeted attacks are widely available , determining whether an attack is part of a broader APT campaign can be difficult .' [/INST] [They:O, move:O, laterally:O, and:O, escalate:O, system:O, privileges:O, to:O, extract:B-Purp, sensitive:I-Purp, information:I-Purp, —:O, whenever:O, the:O, attacker:B-HackOrg, wants:O, to:O, do:O, so.4:O, ,5:O, Because:O, some:O, RATs:B-Tool, used:O, in:O, targeted:B-OffAct, attacks:I-OffAct, are:O, widely:O, available:O, ,:O, determining:O, whether:O, an:O, attack:B-OffAct, is:O, part:O, of:O, a:O, broader:O, APT:B-OffAct, campaign:I-OffAct, can:O, be:O, difficult:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2011 , three years after the most recent release of PIVY , attackers used the RAT to compromise security firm RSA and steal data about its SecureID authentication system .' [/INST] [In:O, 2011:B-Time, ,:O, three:O, years:O, after:O, the:O, most:O, recent:O, release:O, of:O, PIVY:B-Tool, ,:O, attackers:B-HackOrg, used:O, the:O, RAT:B-Tool, to:O, compromise:O, security:B-Org, firm:I-Org, RSA:I-Org, and:O, steal:B-Purp, data:I-Purp, about:O, its:O, SecureID:O, authentication:O, system:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attackers can point and click their way through a compromised network and exfiltrate data .' [/INST] [Attackers:B-HackOrg, can:O, point:O, and:O, click:O, their:O, way:O, through:O, a:O, compromised:O, network:O, and:O, exfiltrate:B-Purp, data: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 campaign , which we refer to as Operation Cloud Hopper , has targeted managed IT service providers ( MSPs ) , allowing APT10 unprecedented potential access to the intellectual property and sensitive data of those MSPs and their clients globally .' [/INST] [The:O, campaign:B-OffAct, ,:O, which:O, we:O, refer:O, to:O, as:O, Operation:B-OffAct, Cloud:I-OffAct, Hopper:I-OffAct, ,:O, has:O, targeted:O, managed:B-Org, IT:I-Org, service:I-Org, providers:I-Org, (:O, MSPs:B-Org, ):O, ,:O, allowing:O, APT10:B-HackOrg, unprecedented:O, potential:O, access:O, to:O, the:O, intellectual:B-Purp, property:I-Purp, and:O, sensitive:O, data:O, of:O, those:O, MSPs:B-Org, and:O, their:O, clients:O, globally:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PwC UK and BAE Systems assess it is highly likely that APT10 is a China-based threat actor with a focus on espionage and wide ranging information collection .' [/INST] [PwC:B-SecTeam, UK:I-SecTeam, and:O, BAE:B-SecTeam, Systems:I-SecTeam, assess:O, it:O, is:O, highly:O, likely:O, that:O, APT10:B-HackOrg, is:O, a:O, China-based:B-Area, threat:B-HackOrg, actor:I-HackOrg, with:O, a:O, focus:O, on:O, espionage:B-HackOrg, and:O, wide:O, ranging:O, information:B-Purp, collection: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: 'APT10 is known to have exfiltrated a high volume of data from multiple victims , exploiting compromised MSP networks , and those of their customers , to stealthily move this data around the world .' [/INST] [APT10:B-HackOrg, is:O, known:O, to:O, have:O, exfiltrated:B-Purp, a:I-Purp, high:I-Purp, volume:I-Purp, of:I-Purp, data:I-Purp, from:O, multiple:O, victims:O, ,:O, exploiting:O, compromised:O, MSP:B-Tool, networks:I-Tool, ,:O, and:O, those:O, of:O, their:O, customers:B-Org, ,:O, to:O, stealthily:O, move:O, this:O, data:O, around:O, the:O, world:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This , in turn , would provide access to a larger amount of intellectual property and sensitive data .' [/INST] [This:O, ,:O, in:O, turn:O, ,:O, would:O, provide:O, access:O, to:O, a:O, larger:O, amount:O, of:O, intellectual:B-Purp, property:I-Purp, and:O, sensitive:O, data:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 has been observed to exfiltrate stolen intellectual property via the MSPs , hence evading local network defences .' [/INST] [APT10:B-HackOrg, has:O, been:O, observed:O, to:O, exfiltrate:O, stolen:B-Purp, intellectual:I-Purp, property:I-Purp, via:O, the:O, MSPs:B-Org, ,:O, hence:O, evading:O, local:O, network:O, defences:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 order to gain any further credentials , APT10 will usually deploy credential theft tools such as mimikatz or PwDump , sometimes using DLL load order hijacking , to use against a domain controller , explained further in Annex B .' [/INST] [In:O, order:O, to:O, gain:O, any:O, further:O, credentials:O, ,:O, APT10:B-HackOrg, will:O, usually:O, deploy:O, credential:B-Purp, theft:I-Purp, tools:O, such:O, as:O, mimikatz:B-Tool, or:O, PwDump:B-Tool, ,:O, sometimes:O, using:O, DLL:B-Tool, load:I-Tool, order:I-Tool, hijacking:I-Tool, ,:O, to:O, use:O, against:O, a:O, domain:O, controller:O, ,:O, explained:O, further:O, in:O, Annex:O, B:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For example , in addition to compromising high value domain controllers and security servers , the threat actor has also been observed identifying and subsequently installing malware on low profile systems that provide non-critical support functions to the business , and are thus less likely to draw the attention of system administrators .' [/INST] [For:O, example:O, ,:O, in:O, addition:O, to:O, compromising:B-Purp, high:I-Purp, value:I-Purp, domain:I-Purp, controllers:I-Purp, and:O, security:B-Purp, servers:I-Purp, ,:O, the:O, threat:B-HackOrg, actor:I-HackOrg, has:O, also:O, been:O, observed:O, identifying:O, and:O, subsequently:O, installing:O, malware:O, on:O, low:O, profile:O, systems:O, that:O, provide:O, non-critical:O, support:O, functions:O, to:O, the:O, business:O, ,:O, and:O, are:O, thus:O, less:O, likely:O, to:O, draw:O, the:O, attention:O, of:O, system:O, administrators:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Primarily focused on governments and military operations of countries with interests in the South China Sea , Moafee likely chooses its targets based on region 's rich natural resources .' [/INST] [Primarily:O, focused:O, on:O, governments:B-Idus, and:O, military:O, operations:O, of:O, countries:O, with:O, interests:O, in:O, the:O, South:B-Area, China:I-Area, Sea:I-Area, ,:O, Moafee:B-HackOrg, likely:O, chooses:O, its:O, targets:O, based:O, on:O, region:O, 's:O, rich:O, natural:B-Purp, resources: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: 'By targeting high-tech and manufacturing operations in Japan and Taiwan , DragonOK may be acquiring trade secrets for a competitive economic advantage .' [/INST] [By:O, targeting:O, high-tech:B-Idus, and:O, manufacturing:B-Idus, operations:O, in:O, Japan:B-Area, and:O, Taiwan:B-Area, ,:O, DragonOK:B-HackOrg, may:O, be:O, acquiring:B-Purp, trade:I-Purp, secrets:I-Purp, for:O, a:O, competitive:O, economic:B-Idus, advantage:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 in use by the Molerats ( aka Gaza cybergang ) , a politically motivated group whose main objective , we believe , is intelligence gathering .' [/INST] [It:O, is:O, in:O, use:O, by:O, the:O, Molerats:B-HackOrg, (:O, aka:O, Gaza:B-HackOrg, cybergang:I-HackOrg, ):O, ,:O, a:O, politically:B-Idus, motivated:O, group:B-HackOrg, whose:O, main:O, objective:O, ,:O, we:O, believe:O, ,:O, is:O, intelligence:B-Purp, gathering: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: 'DustySky has been developed and used since May 2015 by Molerats ( aka , Gaza cybergang , ) , a terrorist group whose main objective in this campaign is intelligence gathering .' [/INST] [DustySky:B-Tool, has:O, been:O, developed:O, and:O, used:O, since:O, May:B-Time, 2015:I-Time, by:O, Molerats:B-HackOrg, (:O, aka:O, ,:O, Gaza:B-HackOrg, cybergang:I-HackOrg, ,:O, ):O, ,:O, a:O, terrorist:B-HackOrg, group:I-HackOrg, whose:O, main:O, objective:O, in:O, this:O, campaign:B-OffAct, is:O, intelligence:B-Purp, gathering: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: 'FIN7 is a threat actor group that is financially motivated with targets in the restaurant , services and financial sectors .' [/INST] [FIN7:B-HackOrg, is:O, a:O, threat:B-HackOrg, actor:I-HackOrg, group:I-HackOrg, that:O, is:O, financially:B-Purp, motivated:I-Purp, with:O, targets:O, in:O, the:O, restaurant:B-Idus, ,:O, services:B-Idus, and:O, financial:B-Org, sectors: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: 'Seedworm likely functions as a cyber espionage group to secure actionable intelligence that could benefit their sponsor 's interests .' [/INST] [Seedworm:B-HackOrg, likely:O, functions:O, as:O, a:O, cyber:B-HackOrg, espionage:I-HackOrg, group:I-HackOrg, to:O, secure:O, actionable:O, intelligence:O, that:O, could:O, benefit:B-Purp, their:I-Purp, sponsor:I-Purp, 's:I-Purp, interests: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: 'After compromising a system , typically by installing Powermud or Powemuddy , Seedworm first runs a tool that steals passwords saved in users ' web browsers and email , demonstrating that access to the victim 's email , social media , and chat accounts is one of their likely goals .' [/INST] [After:O, compromising:O, a:O, system:O, ,:O, typically:O, by:O, installing:O, Powermud:B-Tool, or:O, Powemuddy:B-Tool, ,:O, Seedworm:B-HackOrg, first:O, runs:O, a:O, tool:O, that:O, steals:O, passwords:O, saved:O, in:O, users:O, ':O, web:B-Way, browsers:I-Way, and:O, email:B-Way, ,:O, demonstrating:B-Way, that:O, access:B-Purp, to:I-Purp, the:I-Purp, victim:I-Purp, 's:I-Purp, email:I-Purp, ,:O, social:B-Purp, media:I-Purp, ,:O, and:O, chat:B-Purp, accounts:I-Purp, is:O, one:O, of:O, their:O, likely:O, goals:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It was during operator X 's network monitoring that the attackers placed Naikon proxies within the countries ' borders , to cloak and support real-time outbound connections and data exfiltration from high-profile victim organizations .' [/INST] [It:O, was:O, during:O, operator:O, X:O, 's:O, network:O, monitoring:O, that:O, the:O, attackers:B-HackOrg, placed:O, Naikon:B-Tool, proxies:I-Tool, within:O, the:O, countries:O, ':O, borders:O, ,:O, to:O, cloak:O, and:O, support:O, real-time:O, outbound:O, connections:O, and:O, data:B-Purp, exfiltration:I-Purp, from:O, high-profile:O, victim:O, 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: 'In addition to stealing keystrokes , Naikon also intercepted network traffic .' [/INST] [In:O, addition:O, to:O, stealing:B-Purp, keystrokes:I-Purp, ,:O, Naikon:B-HackOrg, also:O, intercepted:O, network:B-Way, traffic: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: 'Although most malware today either seeks monetary gain or conducts espionage for economic advantage , both of these activity groups appear to seek information about specific individuals .' [/INST] [Although:O, most:O, malware:O, today:O, either:O, seeks:O, monetary:O, gain:O, or:O, conducts:O, espionage:B-HackOrg, for:O, economic:B-Idus, advantage:O, ,:O, both:O, of:O, these:O, activity:B-HackOrg, groups:I-HackOrg, appear:O, to:O, seek:B-Purp, information:I-Purp, about:O, specific:B-Org, individuals:I-Org, .:O] </s>