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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: 'During our investigation of TEMP.Veles activity , we found multiple unique tools that the group deployed in the target environment .' [/INST] [During:O, our:O, investigation:O, of:O, TEMP.Veles:S-APT, activity:O, ,:O, we:O, found:O, multiple:O, unique:O, tools:O, that:O, the:O, group:O, deployed:O, in:O, the:O, target:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Some of these same tools , identified by hash , were evaluated in a malware testing environment by a single user .' [/INST] [Some:O, of:O, these:O, same:O, tools:O, ,:O, identified:O, by:O, hash:O, ,:O, were:O, evaluated:O, in:O, a:O, malware:O, testing:O, environment:O, by:O, a:O, single:O, user:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Malware Testing Environment Tied to TEMP.Veles .' [/INST] [Malware:O, Testing:O, Environment:O, Tied:O, to:O, TEMP.Veles:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We identified a malware testing environment that we assess with high confidence was used to refine some TEMP.Veles tools .' [/INST] [We:O, identified:O, a:O, malware:O, testing:O, environment:O, that:O, we:O, assess:O, with:O, high:O, confidence:O, was:O, used:O, to:O, refine:O, some:O, TEMP.Veles:S-APT, 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: 'At times , the use of this malware testing environment correlates to in-network activities of TEMP.Veles , demonstrating direct operational support for intrusion activity .' [/INST] [At:O, times:O, ,:O, the:O, use:O, of:O, this:O, malware:O, testing:O, environment:O, correlates:O, to:O, in-network:O, activities:O, of:O, TEMP.Veles:S-APT, ,:O, demonstrating:O, direct:O, operational:O, support:O, for:O, intrusion: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: 'Four files tested in 2014 are based on the open-source project , cryptcat .' [/INST] [Four:O, files:O, tested:O, in:O, 2014:S-TIME, are:O, based:O, on:O, the:O, open-source:O, project:O, ,:O, cryptcat:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 these cryptcat binaries indicates that the actor continually modified them to decrease AV detection rates .' [/INST] [Analysis:O, of:O, these:O, cryptcat:O, binaries:O, indicates:O, that:O, the:O, actor:O, continually:O, modified:O, them:O, to:O, decrease:O, AV:O, detection:O, rates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 these files was deployed in a TEMP.Veles target ’s network .' [/INST] [One:O, of:O, these:O, files:O, was:O, deployed:O, in:O, a:O, TEMP.Veles:S-APT, target:O, ’s:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The compiled version with the least detections was later re-tested in 2017 and deployed less than a week later during TEMP.Veles activities in the target environment .' [/INST] [The:O, compiled:O, version:O, with:O, the:O, least:O, detections:O, was:O, later:O, re-tested:O, in:O, 2017:S-TIME, and:O, deployed:O, less:O, than:O, a:O, week:O, later:O, during:O, TEMP.Veles:S-APT, activities:O, in:O, the:O, target:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TEMP.Veles ’ lateral movement activities used a publicly-available PowerShell based tool , WMImplant .' [/INST] [TEMP.Veles:S-APT, ’:O, lateral:O, movement:O, activities:O, used:O, a:O, publicly-available:O, PowerShell:S-TOOL, based:O, tool:O, ,:O, WMImplant:S-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: 'On multiple dates in 2017 , TEMP.Veles struggled to execute this utility on multiple victim systems , potentially due to AV detection .' [/INST] [On:O, multiple:O, dates:O, in:O, 2017:S-TIME, ,:O, TEMP.Veles:S-APT, struggled:O, to:O, execute:O, this:O, utility:O, on:O, multiple:O, victim:O, systems:O, ,:O, potentially:O, due:O, to:O, AV:O, detection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Soon after , the customized utility was again evaluated in the malware testing environment .' [/INST] [Soon:O, after:O, ,:O, the:O, customized:O, utility:O, was:O, again:O, evaluated:O, in:O, the:O, malware:O, testing:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 following day , TEMP.Veles again tried the utility on a compromised system .' [/INST] [The:O, following:O, day:O, ,:O, TEMP.Veles:S-APT, again:O, tried:O, the:O, utility:O, on:O, a:O, compromised: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: 'The user has been active in the malware testing environment since at least 2013 , testing customized versions of multiple open-source frameworks , including Metasploit , Cobalt Strike , PowerSploit , and other projects .' [/INST] [The:O, user:O, has:O, been:O, active:O, in:O, the:O, malware:O, testing:O, environment:O, since:O, at:O, least:O, 2013:S-TIME, ,:O, testing:O, customized:O, versions:O, of:O, multiple:O, open-source:O, frameworks:O, ,:O, including:O, Metasploit:S-TOOL, ,:O, Cobalt:B-TOOL, Strike:E-TOOL, ,:O, PowerSploit:S-TOOL, ,:O, and:O, other:O, projects:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 user ’s development patterns appear to pay particular attention to AV evasion and alternative code execution techniques .' [/INST] [The:O, user:O, ’s:O, development:O, patterns:O, appear:O, to:O, pay:O, particular:O, attention:O, to:O, AV:O, evasion:O, and:O, alternative:O, code:O, execution:O, techniques:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Custom payloads utilized by TEMP.Veles in investigations conducted by Mandiant are typically weaponized versions of legitimate open-source software , retrofitted with code used for command and control .' [/INST] [Custom:O, payloads:O, utilized:O, by:O, TEMP.Veles:S-APT, in:O, investigations:O, conducted:O, by:O, Mandiant:S-SECTEAM, are:O, typically:O, weaponized:O, versions:O, of:O, legitimate:O, open-source:O, software:O, ,:O, retrofitted:O, with:O, code:O, used:O, for:O, command:O, and:O, control:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Testing , Malware Artifacts , and Malicious Activity Suggests Tie to CNIIHM .' [/INST] [Testing:O, ,:O, Malware:O, Artifacts:O, ,:O, and:O, Malicious:O, Activity:O, Suggests:O, Tie:O, to:O, CNIIHM:S-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Multiple factors suggest that this activity is Russian in origin and associated with CNIIHM .' [/INST] [Multiple:O, factors:O, suggest:O, that:O, this:O, activity:O, is:O, Russian:O, in:O, origin:O, and:O, associated:O, with:O, CNIIHM:S-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 PDB path contained in a tested file contained a string that appears to be a unique handle or user name .' [/INST] [A:O, PDB:S-TOOL, path:O, contained:O, in:O, a:O, tested:O, file:O, contained:O, a:O, string:O, that:O, appears:O, to:O, be:O, a:O, unique:O, handle:O, or:O, user:O, name:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 moniker is linked to a Russia based person active in Russian information security communities since at least 2011 .' [/INST] [This:O, moniker:O, is:O, linked:O, to:O, a:O, Russia:S-LOC, based:O, person:O, active:O, in:O, Russian:O, information:O, security:O, communities:O, since:O, at:O, least:O, 2011:S-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The handle has been credited with vulnerability research contributions to the Russian version of Hacker Magazine ( хакер ) .' [/INST] [The:O, handle:O, has:O, been:O, credited:O, with:O, vulnerability:O, research:O, contributions:O, to:O, the:O, Russian:O, version:O, of:O, Hacker:O, Magazine:O, (:O, хакер:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to a now-defunct social media profile , the same individual was a professor at CNIIHM , which is located near Nagatinskaya Street in the Nagatino-Sadovniki district of Moscow .' [/INST] [According:O, to:O, a:O, now-defunct:O, social:O, media:O, profile:O, ,:O, the:O, same:O, individual:O, was:O, a:O, professor:O, at:O, CNIIHM:S-IDTY, ,:O, which:O, is:O, located:O, near:O, Nagatinskaya:B-LOC, Street:E-LOC, in:O, the:O, Nagatino-Sadovniki:S-LOC, district:O, of:O, Moscow:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Another profile using the handle on a Russian social network currently shows multiple photos of the user in proximity to Moscow for the entire history of the profile .' [/INST] [Another:O, profile:O, using:O, the:O, handle:O, on:O, a:O, Russian:O, social:O, network:O, currently:O, shows:O, multiple:O, photos:O, of:O, the:O, user:O, in:O, proximity:O, to:O, Moscow:S-LOC, for:O, the:O, entire:O, history:O, of:O, the:O, profile:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suspected TEMP.Veles incidents include malicious activity originating from 87.245.143.140 , which is registered to CNIIHM .' [/INST] [Suspected:O, TEMP.Veles:S-APT, incidents:O, include:O, malicious:O, activity:O, originating:O, from:O, 87.245.143.140:S-IP, ,:O, which:O, is:O, registered:O, to:O, CNIIHM:S-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 IP address has been used to monitor open-source coverage of TRITON , heightening the probability of an interest by unknown subjects , originating from this network , in TEMP.Veles related activities .' [/INST] [This:O, IP:O, address:O, has:O, been:O, used:O, to:O, monitor:O, open-source:O, coverage:O, of:O, TRITON:S-MAL, ,:O, heightening:O, the:O, probability:O, of:O, an:O, interest:O, by:O, unknown:O, subjects:O, ,:O, originating:O, from:O, this:O, network:O, ,:O, in:O, TEMP.Veles:S-APT, related:O, activities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 also has engaged in network reconnaissance against targets of interest to TEMP.Veles .' [/INST] [It:O, also:O, has:O, engaged:O, in:O, network:O, reconnaissance:O, against:O, targets:O, of:O, interest:O, to:O, TEMP.Veles:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The IP address has been tied to additional malicious activity in support of the TRITON intrusion .' [/INST] [The:O, IP:O, address:O, has:O, been:O, tied:O, to:O, additional:O, malicious:O, activity:O, in:O, support:O, of:O, the:O, TRITON:S-MAL, intrusion:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Multiple files have Cyrillic names and artifacts .' [/INST] [Multiple:O, files:O, have:O, Cyrillic:O, names:O, and:O, artifacts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Adversary behavioral artifacts further suggest the TEMP.Veles operators are based in Moscow , lending some further support to the scenario that CNIIHM , a Russian research organization in Moscow , has been involved in TEMP.Veles activity .' [/INST] [Adversary:O, behavioral:O, artifacts:O, further:O, suggest:O, the:O, TEMP.Veles:S-APT, operators:O, are:O, based:O, in:O, Moscow:S-LOC, ,:O, lending:O, some:O, further:O, support:O, to:O, the:O, scenario:O, that:O, CNIIHM:S-IDTY, ,:O, a:O, Russian:O, research:O, organization:O, in:O, Moscow:S-LOC, ,:O, has:O, been:O, involved:O, in:O, TEMP.Veles:S-APT, 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: 'We identified file creation times for numerous files that TEMP.Veles created during lateral movement on a target ’s network .' [/INST] [We:O, identified:O, file:O, creation:O, times:O, for:O, numerous:O, files:O, that:O, TEMP.Veles:O, created:O, during:O, lateral:O, movement:O, on:O, a:O, target:O, ’s:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These file creation times conform to a work schedule typical of an actor operating within a UTC+3 time zone supporting a proximity to Moscow .' [/INST] [These:O, file:O, creation:O, times:O, conform:O, to:O, a:O, work:O, schedule:O, typical:O, of:O, an:O, actor:O, operating:O, within:O, a:O, UTC+3:O, time:O, zone:O, supporting:O, a:O, proximity:O, to:O, Moscow:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Additional language artifacts recovered from TEMP.Veles toolsets are also consistent with such a regional nexus .' [/INST] [Additional:O, language:O, artifacts:O, recovered:O, from:O, TEMP.Veles:S-APT, toolsets:O, are:O, also:O, consistent:O, with:O, such:O, a:O, regional:O, nexus:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ZIP archive recovered during our investigations , schtasks.zip , contained an installer and uninstaller of CATRUNNER that includes two versions of an XML scheduled task definitions for a masquerading service ‘ ProgramDataUpdater . ’ The malicious installation version has a task name and description in English , and the clean uninstall version has a task name and description in Cyrillic .' [/INST] [A:O, ZIP:S-TOOL, archive:O, recovered:O, during:O, our:O, investigations:O, ,:O, schtasks.zip:S-FILE, ,:O, contained:O, an:O, installer:O, and:O, uninstaller:O, of:O, CATRUNNER:S-MAL, that:O, includes:O, two:O, versions:O, of:O, an:O, XML:S-TOOL, scheduled:O, task:O, definitions:O, for:O, a:O, masquerading:O, service:O, ‘:O, ProgramDataUpdater:S-TOOL, .:O, ’:O, The:O, malicious:O, installation:O, version:O, has:O, a:O, task:O, name:O, and:O, description:O, in:O, English:O, ,:O, and:O, the:O, clean:O, uninstall:O, version:O, has:O, a:O, task:O, name:O, and:O, description:O, in:O, Cyrillic:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 timeline of modification dates within the ZIP also suggest the actor changed the Russian version to English in sequential order , heightening the possibility of a deliberate effort to mask its origins .' [/INST] [The:O, timeline:O, of:O, modification:O, dates:O, within:O, the:O, ZIP:S-TOOL, also:O, suggest:O, the:O, actor:O, changed:O, the:O, Russian:O, version:O, to:O, English:O, in:O, sequential:O, order:O, ,:O, heightening:O, the:O, possibility:O, of:O, a:O, deliberate:O, effort:O, to:O, mask:O, its:O, origins:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While we know that TEMP.Veles deployed the TRITON attack framework , we do not have specific evidence to prove that CNIIHM did ( or did not ) develop the tool .' [/INST] [While:O, we:O, know:O, that:O, TEMP.Veles:S-APT, deployed:O, the:O, TRITON:S-MAL, attack:O, framework:O, ,:O, we:O, do:O, not:O, have:O, specific:O, evidence:O, to:O, prove:O, that:O, CNIIHM:S-IDTY, did:O, (:O, or:O, did:O, not:O, ):O, develop:O, the:O, tool:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We infer that CNIIHM likely maintains the institutional expertise needed to develop and prototype TRITON based on the institute ’s self-described mission and other public information .' [/INST] [We:O, infer:O, that:O, CNIIHM:S-IDTY, likely:O, maintains:O, the:O, institutional:O, expertise:O, needed:O, to:O, develop:O, and:O, prototype:O, TRITON:S-MAL, based:O, on:O, the:O, institute:O, ’s:O, self-described:O, mission:O, and:O, other:O, public:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CNIIHM has at least two research divisions that are experienced in critical infrastructure , enterprise safety , and the development of weapons/military equipment :' [/INST] [CNIIHM:S-IDTY, has:O, at:O, least:O, two:O, research:O, divisions:O, that:O, are:O, experienced:O, in:O, critical:O, infrastructure:O, ,:O, enterprise:O, safety:O, ,:O, and:O, the:O, development:O, of:O, weapons/military:O, equipment:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Center for Applied Research creates means and methods for protecting critical infrastructure from destructive information and technological impacts .' [/INST] [The:B-IDTY, Center:I-IDTY, for:I-IDTY, Applied:I-IDTY, Research:E-IDTY, creates:O, means:O, and:O, methods:O, for:O, protecting:O, critical:O, infrastructure:O, from:O, destructive:O, information:O, and:O, technological:O, impacts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Center for Experimental Mechanical Engineering develops weapons as well as military and special equipment .' [/INST] [The:B-IDTY, Center:I-IDTY, for:I-IDTY, Experimental:I-IDTY, Mechanical:I-IDTY, Engineering:E-IDTY, develops:O, weapons:O, as:O, well:O, as:O, military:O, and:O, special:O, equipment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 also researches methods for enabling enterprise safety in emergency situations .' [/INST] [It:O, also:O, researches:O, methods:O, for:O, enabling:O, enterprise:O, safety:O, in:O, emergency:O, situations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CNIIHM officially collaborates with other national technology and development organizations , including :' [/INST] [CNIIHM:S-IDTY, officially:O, collaborates:O, with:O, other:O, national:O, technology:O, and:O, development:O, organizations:O, ,:O, including:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Moscow Institute of Physics and Technology ( PsyTech ) , which specializes in applied physics , computing science , chemistry , and biology .' [/INST] [The:O, Moscow:S-LOC, Institute:O, of:O, Physics:B-IDTY, and:I-IDTY, Technology:E-IDTY, (:O, PsyTech:S-IDTY, ):O, ,:O, which:O, specializes:O, in:O, applied:O, physics:O, ,:O, computing:O, science:O, ,:O, chemistry:O, ,:O, and:O, biology:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Association of State Scientific Centers “ Nauka , ” which coordinates 43 Scientific Centers of the Russian Federation ( SSC RF ) .' [/INST] [The:B-IDTY, Association:I-IDTY, of:I-IDTY, State:I-IDTY, Scientific:I-IDTY, Centers:E-IDTY, “:O, Nauka:S-IDTY, ,:O, ”:O, which:O, coordinates:O, 43:O, Scientific:B-IDTY, Centers:E-IDTY, of:O, the:O, Russian:B-IDTY, Federation:E-IDTY, (:O, SSC:S-IDTY, RF:S-IDTY, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Some of its main areas of interest include nuclear physics , computer science and instrumentation , robotics and engineering , and electrical engineering , among others .' [/INST] [Some:O, of:O, its:O, main:O, areas:O, of:O, interest:O, include:O, nuclear:O, physics:O, ,:O, computer:O, science:O, and:O, instrumentation:O, ,:O, robotics:O, and:O, engineering:O, ,:O, and:O, electrical:O, engineering:O, ,:O, among:O, others:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Federal Service for Technical and Export Control ( FTEC ) which is responsible for export control , intellectual property , and protecting confidential information .' [/INST] [The:O, Federal:B-IDTY, Service:I-IDTY, for:I-IDTY, Technical:I-IDTY, and:I-IDTY, Export:I-IDTY, Control:E-IDTY, (:O, FTEC:S-IDTY, ):O, which:O, is:O, responsible:O, for:O, export:O, control:O, ,:O, intellectual:O, property:O, ,:O, and:O, protecting:O, confidential:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Russian Academy of Missile and Artillery Sciences ( PAPAH ) which specializes in research and development for strengthening Russia ’s defense industrial complex .' [/INST] [The:O, Russian:B-IDTY, Academy:I-IDTY, of:I-IDTY, Missile:I-IDTY, and:I-IDTY, Artillery:I-IDTY, Sciences:E-IDTY, (:O, PAPAH:S-IDTY, ):O, which:O, specializes:O, in:O, research:O, and:O, development:O, for:O, strengthening:O, Russia:S-LOC, ’s:O, defense:O, industrial:O, complex:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Information from a Russian recruitment website , linked to CNIIHM ’s official domain , indicates that CNIIHM is also dedicated to the development of intelligent systems for computer-aided design and control , and the creation of new information technologies .' [/INST] [Information:O, from:O, a:O, Russian:O, recruitment:O, website:O, ,:O, linked:O, to:O, CNIIHM:S-IDTY, ’s:O, official:O, domain:O, ,:O, indicates:O, that:O, CNIIHM:S-IDTY, is:O, also:O, dedicated:O, to:O, the:O, development:O, of:O, intelligent:O, systems:O, for:O, computer-aided:O, design:O, and:O, control:O, ,:O, and:O, the:O, creation:O, of:O, new:O, information:O, technologies:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Some possibility remains that one or more CNIIHM employees could have conducted the activity linking TEMP.Veles to CNIIHM without their employer ’s approval .' [/INST] [Some:O, possibility:O, remains:O, that:O, one:O, or:O, more:O, CNIIHM:S-IDTY, employees:O, could:O, have:O, conducted:O, the:O, activity:O, linking:O, TEMP.Veles:S-APT, to:O, CNIIHM:S-IDTY, without:O, their:O, employer:O, ’s:O, approval:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 scenario is highly unlikely .' [/INST] [However:O, ,:O, this:O, scenario:O, is:O, highly:O, unlikely:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 this scenario , one or more persons – likely including at least one CNIIHM employee , based on the moniker discussed above – would have had to conduct extensive , high-risk malware development and intrusion activity from CNIIHM ’s address space without CNIIHM ’s knowledge and approval over multiple years .' [/INST] [In:O, this:O, scenario:O, ,:O, one:O, or:O, more:O, persons:O, –:O, likely:O, including:O, at:O, least:O, one:O, CNIIHM:S-IDTY, employee:O, ,:O, based:O, on:O, the:O, moniker:O, discussed:O, above:O, –:O, would:O, have:O, had:O, to:O, conduct:O, extensive:O, ,:O, high-risk:O, malware:O, development:O, and:O, intrusion:O, activity:O, from:O, CNIIHM:S-IDTY, ’s:O, address:O, space:O, without:O, CNIIHM:S-IDTY, ’s:O, knowledge:O, and:O, approval:O, over:O, multiple:O, years:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CNIIHM ’s characteristics are consistent with what we might expect of an organization responsible for TEMP.Veles activity .' [/INST] [CNIIHM:S-IDTY, ’s:O, characteristics:O, are:O, consistent:O, with:O, what:O, we:O, might:O, expect:O, of:O, an:O, organization:O, responsible:O, for:O, TEMP.Veles:S-APT, 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: 'TRITON is a highly specialized framework whose development would be within the capability of a low percentage of intrusion operators .' [/INST] [TRITON:S-MAL, is:O, a:O, highly:O, specialized:O, framework:O, whose:O, development:O, would:O, be:O, within:O, the:O, capability:O, of:O, a:O, low:O, percentage:O, of:O, intrusion:O, operators:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Xenotime .' [/INST] [Xenotime:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Release_Time : unknown' [/INST] [Release_Time:O, ::O, unknown:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Report_URL : https://dragos.com/resource/xenotime/' [/INST] [Report_URL:O, ::O, https://dragos.com/resource/xenotime/:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'XENOTIME is easily the most dangerous threat activity publicly known .' [/INST] [XENOTIME:S-APT, is:O, easily:O, the:O, most:O, dangerous:O, threat:O, activity:O, publicly:O, known:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the only activity group intentionally compromising and disrupting industrial safety instrumented systems , which can lead to scenarios involving loss of life and environmental damage .' [/INST] [It:O, is:O, the:O, only:O, activity:O, group:O, intentionally:O, compromising:O, and:O, disrupting:O, industrial:O, safety:O, instrumented:O, systems:O, ,:O, which:O, can:O, lead:O, to:O, scenarios:O, involving:O, loss:O, of:O, life:O, and:O, environmental:O, damage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dragos identified several compromises of ICS vendors and manufacturers in 2018 by activity associated with XENOTIME , providing potential supply chain threat opportunities and vendor-enabled access to asset owner and operator ICS networks .' [/INST] [Dragos:S-SECTEAM, identified:O, several:O, compromises:O, of:O, ICS:S-TOOL, vendors:O, and:O, manufacturers:O, in:O, 2018:S-TIME, by:O, activity:O, associated:O, with:O, XENOTIME:S-APT, ,:O, providing:O, potential:O, supply:O, chain:O, threat:O, opportunities:O, and:O, vendor-enabled:O, access:O, to:O, asset:O, owner:O, and:O, operator:O, ICS:S-TOOL, 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: 'XENOTIME rose to prominence in December 2017 when Dragos and FireEye jointly published details of TRISIS destructive malware targeting Schneider Electric ’s Triconex safety instrumented system .' [/INST] [XENOTIME:S-APT, rose:O, to:O, prominence:O, in:O, December:B-TIME, 2017:E-TIME, when:O, Dragos:S-SECTEAM, and:O, FireEye:S-SECTEAM, jointly:O, published:O, details:O, of:O, TRISIS:S-MAL, destructive:O, malware:O, targeting:O, Schneider:B-IDTY, Electric:E-IDTY, ’s:O, Triconex:S-TOOL, safety:O, instrumented: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: 'The multi-step malware framework caused industrial systems in a Middle Eastern industrial facility to shut down .' [/INST] [The:O, multi-step:O, malware:O, framework:O, caused:O, industrial:O, systems:O, in:O, a:O, Middle:O, Eastern:O, industrial:O, facility:O, to:O, shut:O, down:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 incident represented a shift in the capabilities and consequences of ICS malware .' [/INST] [The:O, incident:O, represented:O, a:O, shift:O, in:O, the:O, capabilities:O, and:O, consequences:O, of:O, ICS:S-TOOL, 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: 'TRISIS was an escalation of the type of attacks historically targeting ICS systems .' [/INST] [TRISIS:S-MAL, was:O, an:O, escalation:O, of:O, the:O, type:O, of:O, attacks:O, historically:O, targeting:O, ICS:S-TOOL, 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: 'Targeting a safety system indicates significant damage and loss of human life were either intentional or acceptable goals of the attack , a consequence not seen in previous disruptive attacks such as the 2016 CRASHOVERRIDE malware that caused a power loss in Ukraine .' [/INST] [Targeting:O, a:O, safety:O, system:O, indicates:O, significant:O, damage:O, and:O, loss:O, of:O, human:O, life:O, were:O, either:O, intentional:O, or:O, acceptable:O, goals:O, of:O, the:O, attack:O, ,:O, a:O, consequence:O, not:O, seen:O, in:O, previous:O, disruptive:O, attacks:O, such:O, as:O, the:O, 2016:S-TIME, CRASHOVERRIDE:S-MAL, malware:O, that:O, caused:O, a:O, power:O, loss:O, in:O, Ukraine:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Note : Industrial safety instrumented systems comprise part of a multi-layer engineered process control framework to protect life and environment .' [/INST] [Note:O, ::O, Industrial:O, safety:O, instrumented:O, systems:O, comprise:O, part:O, of:O, a:O, multi-layer:O, engineered:O, process:O, control:O, framework:O, to:O, protect:O, life:O, and:O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Industrial safety systems are highly redundant and separate controls which override and manage industrial processes if they approach unsafe conditions such as over-pressurization , overspeed , or over-heating .' [/INST] [Industrial:O, safety:O, systems:O, are:O, highly:O, redundant:O, and:O, separate:O, controls:O, which:O, override:O, and:O, manage:O, industrial:O, processes:O, if:O, they:O, approach:O, unsafe:O, conditions:O, such:O, as:O, over-pressurization:O, ,:O, overspeed:O, ,:O, or:O, over-heating:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 enable engineers and operators to safely control and possibly shutdown processes before a major incident occurs .' [/INST] [They:O, enable:O, engineers:O, and:O, operators:O, to:O, safely:O, control:O, and:O, possibly:O, shutdown:O, processes:O, before:O, a:O, major:O, incident:O, occurs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ’re a critical component of many dangerous industrial environments such as electric power generation and oil and gas processing .' [/INST] [They:O, ’re:O, a:O, critical:O, component:O, of:O, many:O, dangerous:O, industrial:O, environments:O, such:O, as:O, electric:O, power:O, generation:O, and:O, oil:O, and:O, gas:O, processing:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'XENOTIME configured TRISIS based on the specifics and functions of the Triconex system within the industrial control ( ICS ) environment .' [/INST] [XENOTIME:S-APT, configured:O, TRISIS:S-MAL, based:O, on:O, the:O, specifics:O, and:O, functions:O, of:O, the:O, Triconex:S-TOOL, system:O, within:O, the:O, industrial:B-TOOL, control:E-TOOL, (:O, ICS:S-TOOL, ):O, environment:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'XENOTIME used credential capture and replay to move between networks , Windows commands , standard command-line tools such as PSExec , and proprietary tools for operations on victim hosts . ( Full reports detailing XENOTIME ’s tool techniques , and procedures are available to Dragos WorldView customers . ) Because the TRISIS malware framework was highly tailored , it would have required specific knowledge of the Triconex ’s infrastructure and processes within a specific plant .' [/INST] [XENOTIME:S-APT, used:O, credential:O, capture:O, and:O, replay:O, to:O, move:O, between:O, networks:O, ,:O, Windows:S-OS, commands:O, ,:O, standard:O, command-line:O, tools:O, such:O, as:O, PSExec:S-TOOL, ,:O, and:O, proprietary:O, tools:O, for:O, operations:O, on:O, victim:O, hosts:O, .:O, (:O, Full:O, reports:O, detailing:O, XENOTIME:S-APT, ’s:O, tool:O, techniques:O, ,:O, and:O, procedures:O, are:O, available:O, to:O, Dragos:S-SECTEAM, WorldView:S-TOOL, customers:O, .:O, ):O, Because:O, the:O, TRISIS:S-MAL, malware:O, framework:O, was:O, highly:O, tailored:O, ,:O, it:O, would:O, have:O, required:O, specific:O, knowledge:O, of:O, the:O, Triconex:S-TOOL, ’s:O, infrastructure:O, and:O, processes:O, within:O, a:O, specific:O, plant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 means it ’s not easy to scale—however , the malware provides a blueprint of how to target safety instrumented systems .' [/INST] [This:O, means:O, it:O, ’s:O, not:O, easy:O, to:O, scale—however:O, ,:O, the:O, malware:O, provides:O, a:O, blueprint:O, of:O, how:O, to:O, target:O, safety:O, instrumented: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: 'This tradecraft is thus scalable and available to others even if the malware itself changes .' [/INST] [This:O, tradecraft:O, is:O, thus:O, scalable:O, and:O, available:O, to:O, others:O, even:O, if:O, the:O, malware:O, itself:O, changes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dragos ’ data indicates XENOTIME remains active .' [/INST] [Dragos:S-SECTEAM, ’:O, data:O, indicates:O, XENOTIME:S-APT, remains:O, active:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Furthermore , Dragos ’ analysis of the TRISIS event continues as we recover additional data surrounding the incident .' [/INST] [Furthermore:O, ,:O, Dragos:S-SECTEAM, ’:O, analysis:O, of:O, the:O, TRISIS:S-MAL, event:O, continues:O, as:O, we:O, recover:O, additional:O, data:O, surrounding:O, the:O, incident:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dragos assesses with moderate confidence that XENOTIME intends to establish required access and capability to cause a potential , future disruptive—or even destructive—event .' [/INST] [Dragos:S-SECTEAM, assesses:O, with:O, moderate:O, confidence:O, that:O, XENOTIME:S-APT, intends:O, to:O, establish:O, required:O, access:O, and:O, capability:O, to:O, cause:O, a:O, potential:O, ,:O, future:O, disruptive—or:O, even:O, destructive—event:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Compromising safety systems provides little value outside of disrupting operations .' [/INST] [Compromising:O, safety:O, systems:O, provides:O, little:O, value:O, outside:O, of:O, disrupting:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group created a custom malware framework and tailormade credential gathering tools , but an apparent misconfiguration prevented the attack from executing properly .' [/INST] [The:O, group:O, created:O, a:O, custom:O, malware:O, framework:O, and:O, tailormade:O, credential:O, gathering:O, tools:O, ,:O, but:O, an:O, apparent:O, misconfiguration:O, prevented:O, the:O, attack:O, from:O, executing:O, properly:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 XENOTIME matures , it is less likely that the group will make this mistake in the future .' [/INST] [As:O, XENOTIME:S-APT, matures:O, ,:O, it:O, is:O, less:O, likely:O, that:O, the:O, group:O, will:O, make:O, this:O, mistake:O, in:O, the:O, future:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'XENOTIME operates globally , impacting regions far outside of the Middle East , their initial target .' [/INST] [XENOTIME:S-APT, operates:O, globally:O, ,:O, impacting:O, regions:O, far:O, outside:O, of:O, the:O, Middle:B-LOC, East:E-LOC, ,:O, their:O, initial:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Intelligence suggests the group has been active since at least 2014 and is presently operating in multiple facilities targeting safety systems beyond Triconex .' [/INST] [Intelligence:O, suggests:O, the:O, group:O, has:O, been:O, active:O, since:O, at:O, least:O, 2014:S-TIME, and:O, is:O, presently:O, operating:O, in:O, multiple:O, facilities:O, targeting:O, safety:O, systems:O, beyond:O, Triconex:S-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 group has no known associations to other activity groups .' [/INST] [This:O, group:O, has:O, no:O, known:O, associations:O, to:O, other:O, activity:O, groups:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dragos threat intelligence leverages the Dragos Platform , our threat operations center , and other sources to provide comprehensive insight into threats affecting industrial control security and safety worldwide .' [/INST] [Dragos:S-SECTEAM, threat:O, intelligence:O, leverages:O, the:O, Dragos:S-SECTEAM, Platform:O, ,:O, our:O, threat:O, operations:O, center:O, ,:O, and:O, other:O, sources:O, to:O, provide:O, comprehensive:O, insight:O, into:O, threats:O, affecting:O, industrial:O, control:O, security:O, and:O, safety:O, worldwide:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dragos does not corroborate nor conduct political attribution to threat activity .' [/INST] [Dragos:S-SECTEAM, does:O, not:O, corroborate:O, nor:O, conduct:O, political:O, attribution:O, to:O, threat: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: 'Dragos instead focuses on threat behaviors and appropriate detection and response .' [/INST] [Dragos:S-SECTEAM, instead:O, focuses:O, on:O, threat:O, behaviors:O, and:O, appropriate:O, detection:O, and:O, response:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Read more about Dragos ’ approach to categorizing threat activity and attribution .' [/INST] [Read:O, more:O, about:O, Dragos:S-SECTEAM, ’:O, approach:O, to:O, categorizing:O, threat:O, activity:O, and:O, attribution:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dragos does not publicly describe ICS activity group technical details except in extraordinary circumstances in order to limit tradecraft proliferation .' [/INST] [Dragos:S-SECTEAM, does:O, not:O, publicly:O, describe:O, ICS:S-TOOL, activity:O, group:O, technical:O, details:O, except:O, in:O, extraordinary:O, circumstances:O, in:O, order:O, to:O, limit:O, tradecraft:O, proliferation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , full details on XENOTIME and other group tools , techniques , procedures , and infrastructure is available to network defenders via Dragos WorldView .' [/INST] [However:O, ,:O, full:O, details:O, on:O, XENOTIME:S-APT, and:O, other:O, group:O, tools:O, ,:O, techniques:O, ,:O, procedures:O, ,:O, and:O, infrastructure:O, is:O, available:O, to:O, network:O, defenders:O, via:O, Dragos:S-SECTEAM, WorldView:S-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: 'Threat Group 3390 Cyberespionage .' [/INST] [Threat:B-APT, Group:I-APT, 3390:E-APT, Cyberespionage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dell SecureWorks Counter Threat Unit (TM ) ( CTU ) researchers investigated activities associated with Threat Group-3390 ( TG-3390 ) .' [/INST] [Dell:S-IDTY, SecureWorks:B-SECTEAM, Counter:I-SECTEAM, Threat:I-SECTEAM, Unit:E-SECTEAM, (TM:O, ):O, (:O, CTU:S-SECTEAM, ):O, researchers:O, investigated:O, activities:O, associated:O, with:O, Threat:B-APT, Group-3390:E-APT, (:O, TG-3390:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Analysis of TG-3390 's operations , targeting , and tools led CTU researchers to assess with moderate confidence the group is located in the People's Republic of China .' [/INST] [Analysis:O, of:O, TG-3390:S-APT, 's:O, operations:O, ,:O, targeting:O, ,:O, and:O, tools:O, led:O, CTU:S-SECTEAM, researchers:O, to:O, assess:O, with:O, moderate:O, confidence:O, the:O, group:O, is:O, located:O, in:O, the:O, People's:B-IDTY, Republic:E-IDTY, of:O, China:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actors target a wide range of organizations : CTU researchers have observed TG-3390 actors obtaining confidential data on defense manufacturing projects , but also targeting other industry verticals and attacking organizations involved in international relations .' [/INST] [The:O, threat:O, actors:O, target:O, a:O, wide:O, range:O, of:O, organizations:O, ::O, CTU:S-SECTEAM, researchers:O, have:O, observed:O, TG-3390:S-APT, actors:O, obtaining:O, confidential:O, data:O, on:O, defense:O, manufacturing:O, projects:O, ,:O, but:O, also:O, targeting:O, other:O, industry:O, verticals:O, and:O, attacking:O, organizations:O, involved:O, in:O, international:O, relations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 extensively uses long-running strategic web compromises ( SWCs ) , and relies on whitelists to deliver payloads to select victims .' [/INST] [The:O, group:O, extensively:O, uses:O, long-running:O, strategic:O, web:O, compromises:O, (:O, SWCs:O, ):O, ,:O, and:O, relies:O, on:O, whitelists:O, to:O, deliver:O, payloads:O, to:O, select:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In comparison to other threat groups , TG-3390 is notable for its tendency to compromise Microsoft Exchange servers using a custom backdoor and credential logger .' [/INST] [In:O, comparison:O, to:O, other:O, threat:O, groups:O, ,:O, TG-3390:S-APT, is:O, notable:O, for:O, its:O, tendency:O, to:O, compromise:O, Microsoft:S-IDTY, Exchange:S-TOOL, servers:O, using:O, a:O, custom:O, backdoor:O, and:O, credential:O, logger:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 divided the threat intelligence about TG-3390 into two sections : strategic and tactical .' [/INST] [CTU:S-SECTEAM, researchers:O, divided:O, the:O, threat:O, intelligence:O, about:O, TG-3390:S-APT, into:O, two:O, sections:O, ::O, strategic:O, and:O, tactical:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Strategic threat intelligence includes an assessment of the ongoing threat posed by the threat group .' [/INST] [Strategic:O, threat:O, intelligence:O, includes:O, an:O, assessment:O, of:O, the:O, ongoing:O, threat:O, posed:O, by:O, the:O, threat:O, group:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Executives can use this assessment to determine how to reduce risk to their organization's mission and critical assets .' [/INST] [Executives:O, can:O, use:O, this:O, assessment:O, to:O, determine:O, how:O, to:O, reduce:O, risk:O, to:O, their:O, organization's:O, mission:O, and:O, critical:O, assets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Tactical threat intelligence is based on incident response investigations and research , and is mapped to the kill chain .' [/INST] [Tactical:O, threat:O, intelligence:O, is:O, based:O, on:O, incident:O, response:O, investigations:O, and:O, research:O, ,:O, and:O, is:O, mapped:O, to:O, the:O, kill:O, chain:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Computer network defenders can use this information to reduce the time and effort associated with responding to TG-3390 .' [/INST] [Computer:O, network:O, defenders:O, can:O, use:O, this:O, information:O, to:O, reduce:O, the:O, time:O, and:O, effort:O, associated:O, with:O, responding:O, to:O, TG-3390:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers assess with moderate confidence that TG-3390 is based in the People's Republic of China .' [/INST] [CTU:S-SECTEAM, researchers:O, assess:O, with:O, moderate:O, confidence:O, that:O, TG-3390:S-APT, is:O, based:O, in:O, the:O, People's:B-IDTY, Republic:E-IDTY, of:O, China:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers have evidence that the threat group compromised U.S. and UK organizations in the following verticals : manufacturing ( specifically aerospace ( including defense contractors ) , automotive , technology , energy , and pharmaceuticals ) , education , and legal , as well as organizations focused on international relations .' [/INST] [CTU:S-SECTEAM, researchers:O, have:O, evidence:O, that:O, the:O, threat:O, group:O, compromised:O, U.S.:S-LOC, and:O, UK:S-LOC, organizations:O, in:O, the:O, following:O, verticals:O, ::O, manufacturing:O, (:O, specifically:O, aerospace:O, (:O, including:O, defense:O, contractors:O, ):O, ,:O, automotive:O, ,:O, technology:O, ,:O, energy:O, ,:O, and:O, pharmaceuticals:O, ):O, ,:O, education:O, ,:O, and:O, legal:O, ,:O, as:O, well:O, as:O, organizations:O, focused:O, on:O, international:O, relations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 analysis of the group's SWCs , TG-3390 operations likely affect organizations in other countries and verticals .' [/INST] [Based:O, on:O, analysis:O, of:O, the:O, group's:O, SWCs:S-TOOL, ,:O, TG-3390:S-APT, operations:O, likely:O, affect:O, organizations:O, in:O, other:O, countries:O, and:O, verticals:O, .:O] </s> |