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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: 'This section describes some of the tools used by the group .' [/INST] [This:O, section:O, describes:O, some:O, of:O, the:O, tools:O, used:O, by:O, the:O, group:B-HackOrg, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '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: 'In addition to Dipsind and its variants , PLATINUM uses a few other families of custom-built backdoors within its attack toolset .' [/INST] [In:O, addition:O, to:O, Dipsind:B-Tool, and:O, its:O, variants:O, ,:O, PLATINUM:B-HackOrg, uses:O, a:O, few:O, other:O, families:O, of:O, custom-built:B-Tool, backdoors:I-Tool, within:O, its:O, attack:O, toolset:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 group has written a few different versions of keyloggers that perform their functions in different ways , most likely to take advantage of different weaknesses in victims ' computing environments .' [/INST] [The:O, PLATINUM:B-HackOrg, group:I-HackOrg, has:O, written:O, a:O, few:O, different:O, versions:O, of:O, keyloggers:B-Tool, that:O, perform:O, their:O, functions:O, in:O, different:O, ways:O, ,:O, most:O, likely:O, to:O, take:O, advantage:O, of:O, different:O, weaknesses:O, in:O, victims:O, ':O, computing:O, environments:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 one family relies on a small number of supported commands and simple shells , the other delves into more convoluted methods of injections , checks , and supported feature sets .' [/INST] [While:O, one:O, family:O, relies:O, on:O, a:O, small:O, number:O, of:O, supported:O, commands:O, and:O, simple:O, shells:O, ,:O, the:O, other:O, delves:O, into:O, more:O, convoluted:O, methods:O, of:O, injections:O, ,:O, checks:O, ,:O, and:O, supported:O, feature:O, sets:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Both groups can set permissions on specific files to Everyone , and work in tandem with the PLATINUM backdoors .' [/INST] [Both:O, groups:B-HackOrg, can:O, set:B-Features, permissions:I-Features, on:O, specific:O, files:O, to:O, Everyone:O, ,:O, and:O, work:O, in:O, tandem:O, with:O, the:O, PLATINUM:B-Tool, backdoors: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: 'In particular , this second group also has the capability of dumping users ' credentials using the same technique employed by Mimikatz .' [/INST] [In:O, particular:O, ,:O, this:O, second:O, group:B-HackOrg, also:O, has:O, the:O, capability:O, of:O, dumping:O, users:O, ':O, credentials:O, using:O, the:O, same:O, technique:O, employed:O, by:O, Mimikatz:B-Tool, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to using several publicly known injection methods to perform this task , it also takes advantage of an obscure operating system feature known as hot patching .' [/INST] [In:O, addition:O, to:O, using:O, several:O, publicly:O, known:O, injection:O, methods:O, to:O, perform:O, this:O, task:O, ,:O, it:O, also:O, takes:O, advantage:O, of:O, an:O, obscure:O, operating:O, system:O, feature:O, known:O, as:O, hot:O, patching:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 PLATINUM 's most recent and interesting tools is meant to inject code into processes using a variety of injection techniques .' [/INST] [One:O, of:O, PLATINUM:B-HackOrg, 's:O, most:O, recent:O, and:O, interesting:O, tools:O, is:O, meant:O, to:O, inject:O, code:O, into:O, processes:O, using:O, a:O, variety:O, of:O, injection:B-Way, techniques: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: 'At a high level , hot patching can transparently apply patches to executables and DLLs in actively running processes , which does not happen with traditional methods of code injection such as CreateRemoteThread or WriteProcessMemory .' [/INST] [At:O, a:O, high:O, level:O, ,:O, hot:O, patching:O, can:O, transparently:O, apply:B-Features, patches:I-Features, to:O, executables:O, and:O, DLLs:O, in:O, actively:O, running:O, processes:O, ,:O, which:O, does:O, not:O, happen:O, with:O, traditional:O, methods:O, of:O, code:O, injection:O, such:O, as:O, CreateRemoteThread:B-SamFile, or:O, WriteProcessMemory:B-SamFile, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Hot patching is an operating system-supported feature for installing updates without having to reboot or restart a process .' [/INST] [Hot:O, patching:O, is:O, an:O, operating:B-Tool, system-supported:I-Tool, feature:I-Tool, for:O, installing:B-Features, updates:I-Features, without:O, having:O, to:O, reboot:O, or:O, restart:O, a:O, process:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Multiple Dipsind variants have been identified , all of which are believed to be used exclusively by PLATINUM .' [/INST] [Multiple:O, Dipsind:B-Tool, variants:O, have:O, been:O, identified:O, ,:O, all:O, of:O, which:O, are:O, believed:O, to:O, be:O, used:O, exclusively:O, by:O, PLATINUM: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 group 's most frequently used backdoors belong to a malware family that Microsoft has designated Dipsind , although some variants are detected under different names .' [/INST] [The:O, group:B-HackOrg, 's:O, most:O, frequently:O, used:O, backdoors:O, belong:O, to:O, a:O, malware:O, family:O, that:O, Microsoft:B-Org, has:O, designated:O, Dipsind:B-Tool, ,:O, although:O, some:O, variants:O, are:O, detected:O, under:O, different:O, names:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 technique PLATINUM uses to inject code via hot patching was first documented by security researchers in 2013.7 Administrator permissions are required for hot patching , and the technique used by PLATINUM does not attempt to evade this requirement through exploitation .' [/INST] [The:O, technique:O, PLATINUM:B-HackOrg, uses:O, to:O, inject:O, code:O, via:O, hot:O, patching:O, was:O, first:O, documented:O, by:O, security:O, researchers:O, in:O, 2013.7:B-Time, Administrator:O, permissions:O, are:O, required:O, for:O, hot:O, patching:O, ,:O, and:O, the:O, technique:O, used:O, by:O, PLATINUM:B-HackOrg, does:O, not:O, attempt:O, to:O, evade:O, this:O, requirement:O, through:O, exploitation:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 used several zero-day exploits against their victims .' [/INST] [PLATINUM:B-HackOrg, has:O, used:O, several:O, zero-day:B-Exp, exploits:I-Exp, against:O, their: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: 'The technique PLATINUM uses to inject code via hot patching was first documented by security researchers in 2013.7 .' [/INST] [The:O, technique:O, PLATINUM:B-HackOrg, uses:O, to:O, inject:O, code:O, via:O, hot:B-Way, patching:I-Way, was:O, first:O, documented:O, by:O, security:O, researchers:O, in:O, 2013.7:B-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PLATINUM has consistently targeted victims within a small set of countries in South and Southeast Asia .' [/INST] [PLATINUM:B-HackOrg, has:O, consistently:O, targeted:O, victims:O, within:O, a:O, small:O, set:O, of:O, countries:O, in:O, South:B-Area, and: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: '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: 'Some of the tools used by PLATINUM , such as the port-knocking backdoor , show signs of organized thinking .' [/INST] [Some:O, of:O, the:O, tools:O, used:O, by:O, PLATINUM:B-HackOrg, ,:O, such:O, as:O, the:O, port-knocking:O, backdoor:O, ,:O, show:O, signs:O, of:O, organized:O, thinking:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Take advantage of native mitigations built into Windows 10 .' [/INST] [Take:O, advantage:O, of:O, native:O, mitigations:O, built:O, into:O, Windows:O, 10:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , the summer 2015 attack that used the unusual ' resume ' would not have been successful on Windows 10 as-is because of the presence of the Supervisor Mode Execution Prevention ( SMEP ) mitigation , even without the latest security updates installed .' [/INST] [For:O, example:O, ,:O, the:O, summer:B-OffAct, 2015:I-OffAct, attack:I-OffAct, that:O, used:O, the:O, unusual:O, ':O, resume:O, ':O, would:O, not:O, have:O, been:O, successful:O, on:O, Windows:O, 10:O, as-is:O, because:O, of:O, the:O, presence:O, of:O, the:O, Supervisor:O, Mode:O, Execution:O, Prevention:O, (:O, SMEP:O, ):O, mitigation:O, ,:O, even:O, without:O, the:O, latest:O, security:O, updates:O, installed:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Even if CVE-2015-2546 affected Windows 10 , the exploitation would have required much more technical prowess to succeed ; ultimately , SMEP makes it more difficult for attackers .' [/INST] [Even:O, if:O, CVE-2015-2546:B-Exp, affected:O, Windows:O, 10:O, ,:O, the:O, exploitation:O, would:O, have:O, required:O, much:O, more:O, technical:O, prowess:O, to:O, succeed:O, ;:O, ultimately:O, ,:O, SMEP:O, makes:O, it:O, more:O, difficult:O, for:O, attackers: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: 'For example , one zero-day vulnerability exploit ( CVE-2015-2545 ) used by PLATINUM was addressed immediately in September 2015 .' [/INST] [For:O, example:O, ,:O, one:O, zero-day:B-Exp, vulnerability:I-Exp, exploit:O, (:O, CVE-2015-2545:B-Exp, ):O, used:O, by:O, PLATINUM:B-HackOrg, was:O, addressed:O, immediately:O, in:O, September:B-Time, 2015:I-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Since the 2016 publication , Microsoft has come across an evolution of PLATINUM 's file-transfer tool , one that uses the Intel® Active Management Technology ( AMT ) Serial-over-LAN ( SOL ) channel for communication .' [/INST] [Since:O, the:O, 2016:B-Time, publication:O, ,:O, Microsoft:B-Org, has:O, come:O, across:O, an:O, evolution:O, of:O, PLATINUM:B-HackOrg, 's:O, file-transfer:O, tool:O, ,:O, one:O, that:O, uses:O, the:O, Intel®:B-Tool, Active:I-Tool, Management:I-Tool, Technology:I-Tool, (:O, AMT:B-Tool, ):O, Serial-over-LAN:B-Tool, (:O, SOL:B-Tool, ):O, channel:O, for:O, communication:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the 2016 publication , Microsoft has come across an evolution of PLATINUM 's file-transfer tool , one that uses the Intel Active Management Technology ( AMT ) Serial-over-LAN ( SOL ) channel for communication .' [/INST] [Since:O, the:O, 2016:B-Time, publication:O, ,:O, Microsoft:B-Org, has:O, come:O, across:O, an:O, evolution:O, of:O, PLATINUM:B-HackOrg, 's:O, file-transfer:O, tool:O, ,:O, one:O, that:O, uses:O, the:O, Intel:B-Tool, Active:I-Tool, Management:I-Tool, Technology:I-Tool, (:O, AMT:B-Tool, ):O, Serial-over-LAN:B-Tool, (:O, SOL:B-Tool, ):O, channel:O, for:O, communication:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Until this incident , no malware had been discovered misusing the AMT SOL feature for communication .' [/INST] [Until:O, this:O, incident:O, ,:O, no:O, malware:O, had:O, been:O, discovered:O, misusing:O, the:O, AMT:B-Way, SOL:I-Way, feature:O, for:O, communication:B-Features, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 confirmed that the tool did not expose vulnerabilities in the management technology itself , but rather misused AMT SOL within target networks that have already been compromised to keep communication stealthy and evade security applications .' [/INST] [We:O, confirmed:O, that:O, the:O, tool:O, did:O, not:O, expose:O, vulnerabilities:O, in:O, the:O, management:O, technology:O, itself:O, ,:O, but:O, rather:O, misused:O, AMT:B-Way, SOL:I-Way, within:O, target:O, networks:O, that:O, have:O, already:O, been:O, compromised:O, to:O, keep:O, communication:O, stealthy:O, and:O, evade:O, security:O, applications:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 either case , PLATINUM would need to have gained administrative privileges on targeted systems prior to the feature 's misuse .' [/INST] [In:O, either:O, case:O, ,:O, PLATINUM:B-HackOrg, would:O, need:O, to:O, have:O, gained:O, administrative:O, privileges:O, on:O, targeted:O, systems:O, prior:O, to:O, the:O, feature:O, 's:O, misuse:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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: 'One possibility is that PLATINUM might have obtained compromised credentials from victim networks .' [/INST] [One:O, possibility:O, is:O, that:O, PLATINUM:B-HackOrg, might:O, have:O, obtained:O, compromised:B-Way, credentials:I-Way, from:O, victim:O, networks:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Another possibility is that the targeted systems did not have AMT provisioned and PLATINUM , once they've obtained administrative privileges on the system , proceeded to provision AMT .' [/INST] [Another:O, possibility:O, is:O, that:O, the:O, targeted:O, systems:O, did:O, not:O, have:O, AMT:B-Tool, provisioned:O, and:O, PLATINUM:B-HackOrg, ,:O, once:O, they've:O, obtained:O, administrative:O, privileges:O, on:O, the:O, system:O, ,:O, proceeded:B-Way, to:I-Way, provision:I-Way, AMT: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: 'During the provisioning process , PLATINUM could select whichever username and password they wish .' [/INST] [During:O, the:O, provisioning:O, process:O, ,:O, PLATINUM:B-HackOrg, could:O, select:O, whichever:O, username:O, and:O, password:O, they:O, wish:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The new SOL protocol within the PLATINUM file-transfer tool makes use of the AMT Technology SDK 's Redirection Library API ( imrsdk.dll ) .' [/INST] [The:O, new:O, SOL:O, protocol:O, within:O, the:O, PLATINUM:B-HackOrg, file-transfer:O, tool:O, makes:O, use:O, of:O, the:O, AMT:B-Tool, Technology:I-Tool, SDK:I-Tool, 's:O, Redirection:B-Tool, Library:I-Tool, API:I-Tool, (:O, imrsdk.dll:B-SamFile, ):O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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: 'Microsoft reiterates that the PLATINUM tool does not expose flaws in Intel® Active Management Technology ( AMT ) , but uses the technology within an already compromised network to evade security monitoring tools .' [/INST] [Microsoft:B-Org, reiterates:O, that:O, the:O, PLATINUM:B-HackOrg, tool:O, does:O, not:O, expose:O, flaws:O, in:O, Intel®:B-Tool, Active:I-Tool, Management:I-Tool, Technology:I-Tool, (:O, AMT:B-Tool, ):O, ,:O, but:O, uses:O, the:O, technology:O, within:O, an:O, already:O, compromised:O, network:O, to:O, evade:O, security:O, monitoring:O, tools:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The discovery of this new PLATINUM technique and the development of detection capabilities highlight the work the Windows Defender ATP team does to provide customers greater visibility into suspicious activities transpiring on their networks .' [/INST] [The:O, discovery:O, of:O, this:O, new:O, PLATINUM:B-HackOrg, technique:O, and:O, the:O, development:O, of:O, detection:O, capabilities:O, highlight:O, the:O, work:O, the:O, Windows:B-SecTeam, Defender:I-SecTeam, ATP:I-SecTeam, team:O, does:O, to:O, provide:O, customers:O, greater:O, visibility:O, into:O, suspicious:O, activities:B-OffAct, transpiring:O, on:O, their:O, networks:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It possesses a wide range of technical exploitation capabilities , significant resources for researching or purchasing complicated zero-day exploits , the ability to sustain persistence across victim networks for years , and the manpower to develop and maintain a large number of tools to use within unique victim networks .' [/INST] [It:O, possesses:O, a:O, wide:O, range:O, of:O, technical:B-Tool, exploitation:I-Tool, capabilities:I-Tool, ,:O, significant:O, resources:O, for:O, researching:O, or:O, purchasing:O, complicated:O, zero-day:B-Exp, exploits:I-Exp, ,:O, the:O, ability:O, to:O, sustain:O, persistence:O, across:O, victim:O, networks:O, for:O, years:O, ,:O, and:O, the:O, manpower:O, to:O, develop:O, and:O, maintain:O, a:O, large:O, number:O, of:O, tools:O, to:O, use:O, within:O, unique:O, victim:O, networks:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This signals just how long ago the Poseidon threat actor was already working on its offensive framework .' [/INST] [This:O, signals:O, just:O, how:O, long:O, ago:O, the:O, Poseidon:B-HackOrg, threat:I-HackOrg, actor:I-HackOrg, was:O, already:O, working:O, on:O, its:O, offensive:O, framework:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , Poseidon 's practice of being a ' custom-tailored malware implants boutique ' kept security researchers from connecting different campaigns under the umbrella of a single threat actor .' [/INST] [However:O, ,:O, Poseidon:B-HackOrg, 's:O, practice:O, of:O, being:O, a:O, ':O, custom-tailored:O, malware:O, implants:O, boutique:O, ':O, kept:O, security:O, researchers:O, from:O, connecting:O, different:O, campaigns:B-OffAct, under:O, the:O, umbrella:O, of:O, a:O, single:O, threat:B-HackOrg, actor: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: 'Poseidon Group is dedicated to running targeted attacks campaigns to aggressively collect information from company networks through the use of spear-phishing packaged with embedded , executable elements inside office documents and extensive lateral movement tools .' [/INST] [Poseidon:B-HackOrg, Group:I-HackOrg, is:O, dedicated:O, to:O, running:O, targeted:B-OffAct, attacks:I-OffAct, campaigns:I-OffAct, to:O, aggressively:O, collect:O, information:O, from:O, company:O, networks:O, through:O, the:O, use:O, of:O, spear-phishing:B-Way, packaged:O, with:O, embedded:O, ,:O, executable:O, elements:O, inside:O, office:O, documents:O, and:O, extensive:O, lateral:O, movement:O, tools:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Poseidon Group is a long-running team operating on all domains : land , air , and sea .' [/INST] [The:O, Poseidon:B-HackOrg, Group:I-HackOrg, is:O, a:O, long-running:O, team:O, operating:O, on:O, all:O, domains:O, ::O, land:O, ,:O, air:O, ,:O, and:O, sea:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 has been active , using custom code and evolving their toolkit since at least 2005 .' [/INST] [The:O, Poseidon:B-HackOrg, Group:I-HackOrg, has:O, been:O, active:O, ,:O, using:O, custom:B-Tool, code:I-Tool, and:O, evolving:O, their:O, toolkit:O, since:O, at:O, least:O, 2005:B-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Poseidon has maintained a consistently evolving toolkit since the mid-2000s .' [/INST] [Poseidon:B-HackOrg, has:O, maintained:O, a:O, consistently:O, evolving:O, toolkit:O, since:O, the:O, mid-2000s:B-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The 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: 'PROMETHIUM is an activity group that has been active as early as 2012 .' [/INST] [PROMETHIUM:B-HackOrg, is:O, an:O, activity:B-HackOrg, group:I-HackOrg, that:O, has:O, been:O, active:O, as:O, early:O, as:O, 2012:B-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This malware family is known as , PittyTiger , by the anti-virus community .' [/INST] [This:O, malware:O, family:O, is:O, known:O, as:O, ,:O, PittyTiger:B-HackOrg, ,:O, by:O, the:O, anti-virus:B-SecTeam, community:I-SecTeam, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'NEODYMIUM is an activity group that is known to use a backdoor malware detected by Microsoft as Wingbird .' [/INST] [NEODYMIUM:B-HackOrg, is:O, an:O, activity:B-HackOrg, group:I-HackOrg, that:O, is:O, known:O, to:O, use:O, a:O, backdoor:O, malware:O, detected:O, by:O, Microsoft:B-Org, as:O, Wingbird:B-Tool, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The previous two volumes of the Microsoft Security Intelligence Report explored the activities of two such groups , code-named STRONTIUM and PLATINUM , which used previously unknown vulnerabilities and aggressive , persistent techniques to target specific individuals and institutions — often including military installations , intelligence agencies , and other government bodies .' [/INST] [The:O, previous:O, two:O, volumes:O, of:O, the:O, Microsoft:O, Security:O, Intelligence:O, Report:O, explored:O, the:O, activities:B-OffAct, of:O, two:O, such:O, groups:B-HackOrg, ,:O, code-named:O, STRONTIUM:B-HackOrg, and:O, PLATINUM:B-HackOrg, ,:O, which:O, used:O, previously:O, unknown:O, vulnerabilities:O, and:O, aggressive:O, ,:O, persistent:O, techniques:O, to:O, target:O, specific:B-Org, individuals:I-Org, and:O, institutions:B-Org, —:O, often:O, including:O, military:B-Idus, installations:O, ,:O, intelligence:B-Org, agencies:I-Org, ,:O, and:O, other:O, government:B-Idus, bodies:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PROMETHIUM distributed links through instant messengers , pointing recipients to malicious documents that invoked the exploit code to launch Truvasys on victim computers .' [/INST] [PROMETHIUM:B-HackOrg, distributed:O, links:O, through:O, instant:O, messengers:O, ,:O, pointing:O, recipients:O, to:O, malicious:O, documents:O, that:O, invoked:O, the:O, exploit:O, code:O, to:O, launch:O, Truvasys:B-Tool, on:O, victim:O, computers:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PROMETHIUM is an activity group that has been active since at least 2012 .' [/INST] [PROMETHIUM:B-HackOrg, is:O, an:O, activity:B-HackOrg, group:I-HackOrg, that:O, has:O, been:O, active:O, since:O, at:O, least:O, 2012:B-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In 2016 , an attack campaign by this group was recorded in early May that made use of an exploit for CVE-2016-4117 , a vulnerability in Adobe Flash Player , which at the time was both unknown and unpatched .' [/INST] [In:O, 2016:B-Time, ,:O, an:O, attack:B-OffAct, campaign:I-OffAct, by:O, this:O, group:B-HackOrg, was:O, recorded:O, in:O, early:B-Time, May:I-Time, that:O, made:O, use:O, of:O, an:O, exploit:O, for:O, CVE-2016-4117:B-Exp, ,:O, a:O, vulnerability:O, in:O, Adobe:O, Flash:O, Player:O, ,:O, which:O, at:O, the:O, time:O, was:O, both:O, unknown:O, and:O, unpatched:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Truvasys is a collection of modules written in the Delphi programming language , a variant of Pascal .' [/INST] [Truvasys:B-Tool, is:O, a:O, collection:O, of:O, modules:O, written:O, in:O, the:O, Delphi:O, programming:O, language:O, ,:O, a:O, variant:O, of:O, Pascal: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: 'While studying Truvasys , Microsoft uncovered a previously undocumented piece of malware known as Myntor that is a completely separate malware family .' [/INST] [While:O, studying:O, Truvasys:B-Tool, ,:O, Microsoft:B-Org, uncovered:O, a:O, previously:O, undocumented:O, piece:O, of:O, malware:O, known:O, as:O, Myntor:B-Tool, that:O, is:O, a:O, completely:O, separate:O, malware:O, family:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Unit 61486 is the 12th Bureau of the PLA 's 3rd General Staff Department ( GSD ) and is headquartered in Shanghai , China .' [/INST] [Unit:B-HackOrg, 61486:I-HackOrg, is:O, the:O, 12th:O, Bureau:O, of:O, the:O, PLA:O, 's:O, 3rd:O, General:O, Staff:O, Department:O, (:O, GSD:O, ):O, and:O, is:O, headquartered:O, in:O, Shanghai:B-Area, ,:O, China:B-Area, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The CrowdStrike has been tracking this particular unit since 2012 , under the codename PUTTER PANDA , and has documented activity dating back to 2007 .' [/INST] [The:O, CrowdStrike:B-SecTeam, has:O, been:O, tracking:O, this:O, particular:O, unit:O, since:O, 2012:B-Time, ,:O, under:O, the:O, codename:O, PUTTER:B-HackOrg, PANDA:I-HackOrg, ,:O, and:O, has:O, documented:O, activity:B-OffAct, dating:O, back:O, to:O, 2007:B-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The CrowdStrike Intelligence team has been tracking this particular unit since 2012 , under the codename PUTTER PANDA , and has documented activity dating back to 2007 .' [/INST] [The:O, CrowdStrike:B-SecTeam, Intelligence:I-SecTeam, team:O, has:O, been:O, tracking:O, this:O, particular:O, unit:O, since:O, 2012:B-Time, ,:O, under:O, the:O, codename:O, PUTTER:B-HackOrg, PANDA:I-HackOrg, ,:O, and:O, has:O, documented:O, activity:B-OffAct, dating:O, back:O, to:O, 2007:B-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This 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: 'Parts of the PUTTER PANDA toolset and tradecraft have been previously documented , both by CrowdStrike , and in open source , where they are referred to as the MSUpdater group .' [/INST] [Parts:O, of:O, the:O, PUTTER:B-HackOrg, PANDA:I-HackOrg, toolset:O, and:O, tradecraft:O, have:O, been:O, previously:O, documented:O, ,:O, both:O, by:O, CrowdStrike:B-SecTeam, ,:O, and:O, in:O, open:O, source:O, ,:O, where:O, they:O, are:O, referred:O, to:O, as:O, the:O, MSUpdater:B-HackOrg, group: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: '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: 'According to the hacking collective , they worked tirelessly for the first quarter of 2019 to breach these companies and finally succeeded and obtained access to the companies' internal networks .' [/INST] [According:O, to:O, the:O, hacking:O, collective:O, ,:O, they:O, worked:O, tirelessly:O, for:O, the:O, first:O, quarter:O, of:O, 2019:B-Time, to:O, breach:O, these:O, companies:O, and:O, finally:O, succeeded:O, and:O, obtained:O, access:O, to:O, the:O, companies':O, internal:O, networks:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The folders seem to contain information about the company 's development documentation , artificial intelligence model , web security software , and antivirus software base code .' [/INST] [The:O, folders:B-Tool, seem:O, to:O, contain:B-Features, information:I-Features, about:O, the:O, company:O, 's:O, development:O, documentation:O, ,:O, artificial:O, intelligence:O, model:O, ,:O, web:O, security:O, software:O, ,:O, and:O, antivirus:O, software:O, base:O, code:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 antivirus companies appears to have been the primary goal of Fxmps' latest network intrusions .' [/INST] [Targeting:O, antivirus:B-Org, companies:I-Org, appears:O, to:O, have:O, been:O, the:O, primary:O, goal:O, of:O, Fxmps':O, latest:O, network:O, intrusions:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 period started with their seeming disappearance in October 2018 and concluded with their return in April 2019 .' [/INST] [This:O, period:O, started:O, with:O, their:O, seeming:O, disappearance:O, in:O, October:O, 2018:O, and:O, concluded:O, with:O, their:O, return:O, in:O, April:B-Time, 2019:I-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The hacker 's name is Gnosticplayers , and since February 11 the hacker has put up for sale data for 32 companies in three rounds [stories on Round 1 , Round 2 , and Round 3] on Dream Market , a dark web marketplace .' [/INST] [The:O, hacker:O, 's:O, name:O, is:O, Gnosticplayers:O, ,:O, and:O, since:O, February:O, 11:O, the:O, hacker:O, has:O, put:O, up:O, for:O, sale:O, data:O, for:O, 32:O, companies:O, in:O, three:O, rounds:O, [stories:O, on:O, Round:O, 1:O, ,:O, Round:O, 2:O, ,:O, and:O, Round:O, 3]:O, on:O, Dream:O, Market:O, ,:O, a:O, dark:O, web:O, marketplace:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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: 'Data collected by Secureworks incident response ( IR ) analysts and analyzed by CTU researchers indicates that GOLD LOWELL extorts money from victims using the custom SamSam ransomware .' [/INST] [Data:O, collected:O, by:O, Secureworks:B-SecTeam, incident:O, response:O, (:O, IR:O, ):O, analysts:O, and:O, analyzed:O, by:O, CTU:B-SecTeam, researchers:O, indicates:O, that:O, GOLD:B-HackOrg, LOWELL:I-HackOrg, extorts:O, money:O, from:O, victims:O, using:O, the:O, custom:O, SamSam:B-Tool, ransomware:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 sources claimed that GOLD LOWELL operations specifically targeted the healthcare vertical following public SamSam incidents in 2016 and 2018 .' [/INST] [Some:O, sources:O, claimed:O, that:O, GOLD:B-HackOrg, LOWELL:I-HackOrg, operations:O, specifically:O, targeted:O, the:O, healthcare:B-Idus, vertical:O, following:O, public:O, SamSam:B-Tool, incidents:O, in:O, 2016:B-Time, and:O, 2018:B-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '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: 'In January 2017 , GOLD LOWELL began targeting legitimate RDP account credentials , in some cases discovering and compromising accounts using brute-force techniques .' [/INST] [In:O, January:B-Time, 2017:I-Time, ,:O, GOLD:O, LOWELL:O, began:O, targeting:O, legitimate:O, RDP:B-Tool, account:O, credentials:O, ,:O, in:O, some:O, cases:O, discovering:O, and:O, compromising:O, accounts:O, using:O, brute-force: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: 'In 2015 and 2016 , GOLD LOWELL frequently exploited JBoss enterprise applications using several versions of this open-source JBoss exploitation tool .' [/INST] [In:O, 2015:B-Time, and:O, 2016:B-Time, ,:O, GOLD:O, LOWELL:O, frequently:O, exploited:O, JBoss:B-Tool, enterprise:O, applications:O, using:O, several:O, versions:O, of:O, this:O, open-source:O, JBoss:B-Tool, exploitation: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: 'In 2017 and early 2018 , the group used PowerShell commands to call Mimikatz from an online PowerSploit repository , which is a collection of publicly available PowerShell modules for penetration testing .' [/INST] [In:O, 2017:B-Time, and:O, early:O, 2018:B-Time, ,:O, the:O, group:O, used:O, PowerShell:B-Tool, commands:I-Tool, to:O, call:O, Mimikatz:B-Tool, from:O, an:O, online:O, PowerSploit:O, repository:O, ,:O, which:O, is:O, a:O, collection:O, of:O, publicly:O, available:O, PowerShell:B-Tool, modules:I-Tool, for:O, penetration:O, testing:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Gold Lowell responded by modifying a registry entry to disable the endpoint tool 's scanning functionality .' [/INST] [Gold:B-HackOrg, Lowell:I-HackOrg, responded:O, by:O, modifying:O, a:O, registry:O, entry:O, to:O, disable:O, the:O, endpoint:O, tool:O, 's:O, scanning:O, functionality:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Gold Lowell then provide a download link to a unique XML executable file and corresponding RSA private key to decrypt the files .' [/INST] [Gold:B-HackOrg, Lowell:I-HackOrg, then:O, provide:O, a:O, download:O, link:O, to:O, a:O, unique:O, XML:B-Tool, executable:I-Tool, file:I-Tool, and:O, corresponding:O, RSA:B-Tool, private:O, key:O, to:O, decrypt:O, the:O, files:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This methodology , known as , big game hunting , , signals a shift in operations for WIZARD SPIDER , a criminal enterprise of which GRIM SPIDER appears to be a cell .' [/INST] [This:O, methodology:O, ,:O, known:O, as:O, ,:O, big:B-OffAct, game:I-OffAct, hunting:I-OffAct, ,:O, ,:O, signals:O, a:O, shift:O, in:O, operations:O, for:O, WIZARD:O, SPIDER:O, ,:O, a:O, criminal:O, enterprise:O, of:O, which:O, GRIM:O, SPIDER:O, appears:O, to:O, be:O, a:O, cell:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 WIZARD SPIDER threat group , known as the Russia-based operator of the TrickBot banking malware , had focused primarily on wire fraud in the past .' [/INST] [The:O, WIZARD:B-HackOrg, SPIDER:I-HackOrg, threat:I-HackOrg, group:I-HackOrg, ,:O, known:O, as:O, the:O, Russia-based:O, operator:O, of:O, the:O, TrickBot:B-Tool, banking:I-Tool, malware:I-Tool, ,:O, had:O, focused:O, primarily:O, on:O, wire:O, fraud:O, in:O, the:O, past:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Similar to Samas and BitPaymer , Ryuk is specifically used to target enterprise environments .' [/INST] [Similar:O, to:O, Samas:B-Tool, and:O, BitPaymer:B-Tool, ,:O, Ryuk:B-Tool, is:O, specifically:O, used:O, to:O, target:O, enterprise:O, environments:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Code comparison between versions of Ryuk and Hermes ransomware indicates that Ryuk was derived from the Hermes source code and has been under steady development since its release .' [/INST] [Code:O, comparison:O, between:O, versions:O, of:O, Ryuk:B-Tool, and:O, Hermes:B-Tool, ransomware:I-Tool, indicates:O, that:O, Ryuk:B-Tool, was:O, derived:O, from:O, the:O, Hermes:B-Tool, source:O, code:O, and:O, has:O, been:O, under:O, steady:O, development:O, since:O, its:O, release:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Hermes is commodity ransomware that has been observed for sale on forums and used by multiple threat actors .' [/INST] [Hermes:B-Tool, is:O, commodity:O, ransomware:O, that:O, has:O, been:O, observed:O, for:O, sale:O, on:O, forums:O, and:O, used:O, by:O, multiple:O, threat:O, actors:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , Ryuk is only used by GRIM SPIDER and , unlike Hermes , Ryuk has only been used to target enterprise environments .' [/INST] [However:O, ,:O, Ryuk:B-Tool, is:O, only:O, used:O, by:O, GRIM:O, SPIDER:O, and:O, ,:O, unlike:O, Hermes:B-Tool, ,:O, Ryuk:B-Tool, has:O, only:O, been:O, used:O, to:O, target:O, enterprise:O, environments:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Ryuk 's appearance in August , the threat actors operating it have netted over 705.80 BTC across 52 transactions for a total current value of $3,701,893.98 USD .' [/INST] [Since:O, Ryuk:B-Tool, 's:O, appearance:O, in:O, August:B-Time, ,:O, the:O, threat:O, actors:O, operating:O, it:O, have:O, netted:O, over:O, 705.80:O, BTC:O, across:O, 52:O, transactions:O, for:O, a:O, total:O, current:O, value:O, of:O, $3,701,893.98:O, USD:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Hermes ransomware , the predecessor to Ryuk , was first distributed in February 2017 .' [/INST] [Hermes:B-Tool, ransomware:I-Tool, ,:O, the:O, predecessor:O, to:O, Ryuk:B-Tool, ,:O, was:O, first:O, distributed:O, in:O, February:B-Time, 2017:I-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In mid-August 2018 , a modified version of Hermes , dubbed Ryuk , started appearing in a public malware repository .' [/INST] [In:O, mid-August:B-Time, 2018:I-Time, ,:O, a:O, modified:O, version:O, of:O, Hermes:B-Tool, ,:O, dubbed:O, Ryuk:B-Tool, ,:O, started:O, appearing:O, in:O, a:O, public:O, malware:O, repository:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ryuk was tailored to target enterprise environments and some of the modifications include removing anti-analysis checks .' [/INST] [Ryuk:B-Tool, was:O, tailored:O, to:O, target:O, enterprise:O, environments:O, and:O, some:O, of:O, the:O, modifications:O, include:O, removing:O, anti-analysis:O, checks:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 mentioned in the Hermes to Ryuk section , Ryuk uses a combination of symmetric ( AES ) and asymmetric ( RSA ) encryption to encrypt files .' [/INST] [As:O, mentioned:O, in:O, the:O, Hermes:B-Tool, to:O, Ryuk:B-Tool, section:O, ,:O, Ryuk:B-Tool, uses:O, a:O, combination:O, of:O, symmetric:O, (:O, AES:B-Tool, ):O, and:O, asymmetric:O, (:O, RSA:B-Tool, ):O, encryption:O, to:O, encrypt:B-Features, files:I-Features, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 each mounted drive , Ryuk calls GetDriveTypeW to determine the drive 's type .' [/INST] [For:O, each:O, mounted:O, drive:O, ,:O, Ryuk:B-Tool, calls:O, GetDriveTypeW:B-Tool, to:O, determine:O, the:O, drive:O, 's:O, type:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 retrieve IP addresses that have ARP entries , Ryuk calls GetIpNetTable .' [/INST] [To:O, retrieve:O, IP:O, addresses:O, that:O, have:O, ARP:O, entries:O, ,:O, Ryuk:B-Tool, calls:O, GetIpNetTable: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: 'Open-source reporting has claimed that the Hermes ransomware was developed by the North Korean group STARDUST CHOLLIMA ( activities of which have been public reported as part of the , Lazarus Group , ) , because Hermes was executed on a host during the SWIFT compromise of FEIB in October 2017 .' [/INST] [Open-source:O, reporting:O, has:O, claimed:O, that:O, the:O, Hermes:B-Tool, ransomware:I-Tool, was:O, developed:O, by:O, the:O, North:B-Area, Korean:I-Area, group:O, STARDUST:O, CHOLLIMA:O, (:O, activities:B-OffAct, of:O, which:O, have:O, been:O, public:O, reported:O, as:O, part:O, of:O, the:O, ,:O, Lazarus:O, Group:O, ,:O, ):O, ,:O, because:O, Hermes:B-Tool, was:O, executed:O, on:O, a:O, host:O, during:O, the:O, SWIFT:O, compromise:O, of:O, FEIB:O, in:O, October:B-Time, 2017:I-Time, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The two executables related to Hermes are bitsran.exe and RSW7B37.tmp .' [/INST] [The:O, two:O, executables:O, related:O, to:O, Hermes:B-Tool, are:O, bitsran.exe:B-SamFile, and:O, RSW7B37.tmp:B-SamFile, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Falcon Intelligence has medium-high confidence that the GRIM SPIDER threat actors are operating out of Russia .' [/INST] [Falcon:B-SecTeam, Intelligence:I-SecTeam, has:O, medium-high:O, confidence:O, that:O, the:O, GRIM:O, SPIDER:O, threat:O, actors:O, are:O, operating:O, out:O, of:O, Russia: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: 'Based on these factors , there is considerably more evidence supporting the hypothesis that the GRIM SPIDER threat actors are Russian speakers and not North Korean .' [/INST] [Based:O, on:O, these:O, factors:O, ,:O, there:O, is:O, considerably:O, more:O, evidence:O, supporting:O, the:O, hypothesis:O, that:O, the:O, GRIM:O, SPIDER:O, threat:O, actors:O, are:O, Russian:O, speakers:O, and:O, not:O, North:O, Korean:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The hackers also started tweeting a few samples of internal emails from the company .' [/INST] [The:O, hackers:O, also:O, started:O, tweeting:O, a:O, few:O, samples:O, of:O, internal:B-Way, emails:I-Way, from:O, the:O, company:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'From a process and file perspective , Hermes and Ryuk target files in a similar fashion .' [/INST] [From:O, a:O, process:O, and:O, file:O, perspective:O, ,:O, Hermes:B-Tool, and:O, Ryuk:B-Tool, target:O, files:O, in:O, a:O, similar:O, fashion:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Claudio Guarnieri , a security researcher who has investigated Hacking Team along with others at the Citizen Lab , was quick to point this out .' [/INST] [Claudio:B-SecTeam, Guarnieri:I-SecTeam, ,:O, a:O, security:O, researcher:O, who:O, has:O, investigated:O, Hacking:O, Team:O, along:O, with:O, others:O, at:O, the:O, Citizen:B-SecTeam, Lab:I-SecTeam, ,:O, was:O, quick:O, to:O, point:O, this:O, out:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 breach on Hacking Team comes almost a year after another surveillance tech company , the competing FinFisher , was hacked in a similar way , with a hacker leaking 40 Gb of internal files .' [/INST] [The:O, breach:O, on:O, Hacking:O, Team:O, comes:O, almost:O, a:O, year:O, after:O, another:O, surveillance:O, tech:O, company:O, ,:O, the:O, competing:O, FinFisher:B-Org, ,:O, was:O, hacked:O, in:O, a:O, similar:O, way:O, ,:O, with:O, a:O, hacker:O, leaking:O, 40:O, Gb:O, of:O, internal:O, files:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Their software , once surreptitiously installed on a target 's cell phone or computer , can be used to monitor the target 's communications , such as phone calls , text messages , Skype calls , or emails .' [/INST] [Their:O, software:O, ,:O, once:O, surreptitiously:O, installed:O, on:O, a:O, target:O, 's:O, cell:O, phone:O, or:O, computer:O, ,:O, can:O, be:O, used:O, to:O, monitor:B-Features, the:I-Features, target:I-Features, 's:I-Features, communications:I-Features, ,:O, such:O, as:O, phone:B-Way, calls:I-Way, ,:O, text:B-Way, messages:I-Way, ,:O, Skype:B-Way, calls:I-Way, ,:O, or:O, emails:B-Way, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In 2015 and 2016 , Dridex was one of the most prolific eCrime banking trojans on the market and , since 2014 , those efforts are thought to have netted INDRIK SPIDER millions of dollars in criminal profits .' [/INST] [In:O, 2015:B-Time, and:O, 2016:B-Time, ,:O, Dridex:B-Tool, was:O, one:O, of:O, the:O, most:O, prolific:O, eCrime:O, banking:B-Idus, trojans:O, on:O, the:O, market:O, and:O, ,:O, since:O, 2014:B-Time, ,:O, those:O, efforts:O, are:O, thought:O, to:O, have:O, netted:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, millions:O, of:O, dollars:O, in:O, criminal:O, profits:O, .:O] </s>
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 August 2017 , a new ransomware variant identified as BitPaymer was reported to have ransomed the U.K. 's National Health Service ( NHS ) , with a high ransom demand of 53 BTC ( approximately $200,000 USD ) .' [/INST] [In:O, August:B-Time, 2017:I-Time, ,:O, a:O, new:O, ransomware:O, variant:O, identified:O, as:O, BitPaymer:B-Tool, was:O, reported:O, to:O, have:O, ransomed:O, the:O, U.K.:B-Area, 's:O, National:B-Idus, Health:I-Idus, Service:I-Idus, (:O, NHS:B-Idus, ):O, ,:O, with:O, a:O, high:O, ransom:O, demand:O, of:O, 53:O, BTC:O, (:O, approximately:O, $200,000:O, USD: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: '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: 'Though the encryption and ransom functionality of BitPaymer was not technically sophisticated , the malware contained multiple anti-analysis features that overlapped with Dridex .' [/INST] [Though:O, the:O, encryption:O, and:O, ransom:O, functionality:O, of:O, BitPaymer:B-Tool, was:O, not:O, technically:O, sophisticated:O, ,:O, the:O, malware:O, contained:O, multiple:O, anti-analysis:O, features:O, that:O, overlapped:O, with:O, Dridex: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: 'Later technical analysis of BitPaymer indicated that it had been developed by INDRIK SPIDER , suggesting the group had expanded its criminal operation to include ransomware as a monetization strategy .' [/INST] [Later:O, technical:O, analysis:O, of:O, BitPaymer:B-Tool, indicated:O, that:O, it:O, had:O, been:O, developed:O, by:O, INDRIK:B-HackOrg, SPIDER:I-HackOrg, ,:O, suggesting:O, the:O, group:O, had:O, expanded:O, its:O, criminal:O, operation:O, to:O, include:O, ransomware:O, as:O, a:O, monetization:O, strategy:O, .:O] </s>