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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: 'APT41 sent spear-phishing emails to multiple HR employees three days after the compromise had been remediated and systems were brought back online .' [/INST] [APT41:B-HackOrg, sent:O, spear-phishing:B-Way, emails:O, to:O, multiple:O, HR:O, employees:O, three:O, days:O, after:O, the:O, compromise:O, had:O, been:O, remediated:O, and:O, systems:O, were:O, brought:O, back:O, online:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT41 also deploys the SOGU and CROSSWALK malware families as means to maintain presence .' [/INST] [APT41:B-HackOrg, also:O, deploys:O, the:O, SOGU:B-Tool, and:O, CROSSWALK:B-Tool, malware:O, families:O, as:O, means:O, to:O, maintain:O, presence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Within hours of a user opening the malicious attachment dropping a HOMEUNIX backdoor , APT41 regained a foothold within the environment by installing PHOTO on the organization's servers across multiple geographic regions .' [/INST] [Within:O, hours:O, of:O, a:O, user:O, opening:O, the:O, malicious:O, attachment:O, dropping:O, a:O, HOMEUNIX:B-Tool, backdoor:I-Tool, ,:O, APT41:B-HackOrg, regained:O, a:O, foothold:O, within:O, the:O, environment:O, by:O, installing:O, PHOTO:B-Tool, on:O, the:O, organization's:O, servers:O, across:O, multiple:O, geographic:O, regions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Before attempting to deploy the publicly available Ransomware-as-a-Service (RaaS) Encryptor RaaS through group policy , APT41 blocked victim systems from retrieving anti-virus updates by accessing the DNS management console and implementing a forward lookup on the domain used for anti-virus updates to the park IP address 1.1.1.1 .' [/INST] [Before:O, attempting:O, to:O, deploy:O, the:O, publicly:O, available:O, Ransomware-as-a-Service:O, (RaaS):O, Encryptor:O, RaaS:O, through:O, group:O, policy:O, ,:O, APT41:B-HackOrg, blocked:O, victim:O, systems:O, from:O, retrieving:O, anti-virus:O, updates:O, by:O, accessing:B-Way, the:O, DNS:O, management:O, console:O, and:O, implementing:O, a:O, forward:O, lookup:O, on:O, the:O, domain:O, used:O, for:O, anti-virus:O, updates:O, to:O, the:O, park:O, IP:O, address:O, 1.1.1.1:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT41 has been observed creating a RAR archive of targeted files for exfiltration .' [/INST] [APT41:B-HackOrg, has:O, been:O, observed:O, creating:B-OffAct, a:O, RAR:O, archive:O, of:O, targeted:O, files:O, for:O, exfiltration:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT41 is unique among tracked China-based actors in that it leverages non-public malware typically reserved for espionage campaigns in what appears to be activity for personal gain .' [/INST] [APT41:B-HackOrg, is:O, unique:O, among:O, tracked:O, China-based:O, actors:B-Area, in:O, that:O, it:O, leverages:B-Way, non-public:O, malware:O, typically:O, reserved:O, for:O, espionage:O, campaigns:O, in:O, what:O, appears:O, to:O, be:O, activity:O, for:O, personal:O, gain:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 multiple engagements , APT41 attempted to remove evidence of some of its activity by deleting Bash histories , clearing Windows security and system events , and modifying DNS management to avoid anti-virus detections .' [/INST] [During:O, multiple:O, engagements:O, ,:O, APT41:B-HackOrg, attempted:O, to:O, remove:O, evidence:O, of:O, some:O, of:O, its:O, activity:O, by:O, deleting:B-Way, Bash:I-Way, histories:I-Way, ,:O, clearing:B-Way, Windows:I-Way, security:I-Way, and:O, system:O, events:O, ,:O, and:O, modifying:B-Way, DNS:I-Way, management:I-Way, to:O, avoid:B-Way, anti-virus:I-Way, detections: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: 'Explicit financially-motivated targeting is unusual among Chinese statesponsored threat groups , and evidence suggests APT41 has conducted simultaneous cyber crime and cyber espionage operations from 2014 onward .' [/INST] [Explicit:O, financially-motivated:O, targeting:O, is:O, unusual:O, among:O, Chinese:B-Area, statesponsored:I-Area, threat:O, groups:O, ,:O, and:O, evidence:O, suggests:O, APT41:B-HackOrg, has:O, conducted:O, simultaneous:O, cyber:O, crime:O, and:O, cyber:O, espionage:O, operations:O, from:O, 2014:B-Time, onward:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT41 operations against higher education , travel services , and news/media firms provide some indication that the group also tracks individuals and conducts surveillance .' [/INST] [APT41:B-HackOrg, operations:O, against:O, higher:B-Idus, education:I-Idus, ,:O, travel:B-Idus, services:I-Idus, ,:O, and:O, news/media:B-Idus, firms:I-Idus, provide:O, some:O, indication:O, that:O, the:O, group:O, also:O, tracks:O, individuals:O, and:O, conducts:O, surveillance:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 group has repeatedly targeted call record information at telecom companies .' [/INST] [For:O, example:O, ,:O, the:O, group:B-HackOrg, has:O, repeatedly:O, targeted:O, call:O, record:O, information:O, at:O, telecom:B-Org, companies: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: 'APT41 has established and maintained strategic access to organizations in the healthcare , high-tech , and telecommunications sectors .' [/INST] [APT41:B-HackOrg, has:O, established:O, and:O, maintained:O, strategic:O, access:O, to:O, organizations:O, in:O, the:O, healthcare:B-Idus, ,:O, high-tech:B-Idus, ,:O, and:O, telecommunications:B-Idus, sectors:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group’s financially motivated activity has primarily focused on the video game industry , where APT41 has manipulated virtual currencies and even attempted to deploy ransomware .' [/INST] [The:O, group’s:O, financially:O, motivated:O, activity:O, has:O, primarily:O, focused:O, on:O, the:O, video:B-Org, game:I-Org, industry:I-Org, ,:O, where:O, APT41:B-HackOrg, has:O, manipulated:B-OffAct, virtual:O, currencies:O, and:O, even:O, attempted:O, to:O, deploy:B-OffAct, ransomware:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In another instance , APT41 targeted a hotel’s reservation systems ahead of Chinese officials staying there , suggesting the group was tasked to reconnoiter the facility for security reasons .' [/INST] [In:O, another:O, instance:O, ,:O, APT41:B-HackOrg, targeted:O, a:O, hotel’s:O, reservation:O, systems:O, ahead:O, of:O, Chinese:O, officials:O, staying:O, there:O, ,:O, suggesting:O, the:O, group:O, was:O, tasked:B-Purp, to:O, reconnoiter:O, the:O, facility:O, for:O, security:O, reasons:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 supply chain compromise tactics have also been characteristic of APT41’s best known and most recent espionage campaigns .' [/INST] [These:O, supply:B-Way, chain:I-Way, compromise:O, tactics:O, have:O, also:O, been:O, characteristic:O, of:O, APT41’s:B-HackOrg, best:O, known:O, and:O, most:O, recent:O, espionage:O, campaigns:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Interestingly , despite the significant effort required to execute supply chain compromises and the large number of affected organizations , APT41 limits the deployment of follow-on malware to specific victim systems by matching against individual system identifiers .' [/INST] [Interestingly:O, ,:O, despite:O, the:O, significant:O, effort:O, required:O, to:O, execute:O, supply:O, chain:O, compromises:O, and:O, the:O, large:O, number:O, of:O, affected:O, organizations:O, ,:O, APT41:B-HackOrg, limits:B-Way, the:O, deployment:O, of:O, follow-on:O, malware:O, to:O, specific:O, victim:O, systems:O, by:O, matching:B-Way, against:O, individual:O, system:O, identifiers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Mapping the group’s activities since 2012 (Figure 2) also provides some indication that APT41 primarily conducts financially motivated operations outside of their normal day jobs .' [/INST] [Mapping:O, the:O, group’s:O, activities:O, since:O, 2012:O, (Figure:O, 2):O, also:O, provides:O, some:O, indication:O, that:O, APT41:B-HackOrg, primarily:O, conducts:B-OffAct, financially:O, motivated:O, operations:O, outside:O, of:O, their:O, normal:O, day:O, jobs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 latter is especially notable because APT41 has repeatedly returned to targeting the video game industry and we believe these activities were formative in the group’s later espionage operations .' [/INST] [The:O, latter:O, is:O, especially:O, notable:O, because:O, APT41:B-HackOrg, has:O, repeatedly:O, returned:O, to:O, targeting:O, the:O, video:B-Idus, game:I-Idus, industry:I-Idus, and:O, we:O, believe:O, these:O, activities:O, were:O, formative:O, in:O, the:O, group’s:O, later:O, espionage: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: 'APT41 leverages an arsenal of over 46 different malware families and tools to accomplish their missions , including publicly available utilities , malware shared with other Chinese espionage operations , and tools unique to the group .' [/INST] [APT41:B-HackOrg, leverages:O, an:O, arsenal:O, of:O, over:O, 46:O, different:O, malware:B-Tool, families:I-Tool, and:O, tools:B-Tool, to:O, accomplish:O, their:O, missions:O, ,:O, including:O, publicly:O, available:O, utilities:O, ,:O, malware:O, shared:O, with:O, other:O, Chinese:O, espionage:O, operations:O, ,:O, and:O, tools:O, unique:O, to: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: 'Once in a victim organization , APT41 can leverage more sophisticated TTPs and deploy additional malware .' [/INST] [Once:O, in:O, a:O, victim:O, organization:O, ,:O, APT41:B-HackOrg, can:O, leverage:B-OffAct, more:O, sophisticated:O, TTPs:O, and:O, deploy:B-OffAct, additional:I-OffAct, malware:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT41 often relies on spear-phishing emails with attachments such as compiled HTML (.chm) files to initially compromise their victims .' [/INST] [APT41:B-HackOrg, often:O, relies:O, on:O, spear-phishing:B-Way, emails:I-Way, with:O, attachments:O, such:O, as:O, compiled:O, HTML:O, (.chm):O, files:O, to:O, initially:O, compromise: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: 'APT41 has also deployed rootkits and Master Boot Record (MBR) bootkits on a limited basis to hide their malware and maintain persistence on select victim systems .' [/INST] [APT41:B-HackOrg, has:O, also:O, deployed:B-Way, rootkits:I-Way, and:O, Master:O, Boot:O, Record:O, (MBR):O, bootkits:O, on:O, a:O, limited:O, basis:O, to:O, hide:O, their:O, malware:O, and:O, maintain:O, persistence:O, on:O, select:O, victim: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: 'The limited use of these tools by APT41 suggests the group reserves more advanced TTPs and malware only for high-value targets .' [/INST] [The:O, limited:O, use:O, of:O, these:O, tools:O, by:O, APT41:B-HackOrg, suggests:O, the:O, group:O, reserves:B-Purp, more:I-Purp, advanced:I-Purp, TTPs:I-Purp, and:O, malware:O, only:O, for:O, high-value:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Like other Chinese espionage operators , APT41 appears to have moved toward strategic intelligence collection and establishing access and away from direct intellectual property theft since 2015 .' [/INST] [Like:O, other:O, Chinese:O, espionage:O, operators:O, ,:O, APT41:B-HackOrg, appears:O, to:O, have:O, moved:O, toward:O, strategic:O, intelligence:O, collection:O, and:O, establishing:O, access:O, and:O, away:O, from:O, direct:O, intellectual:O, property:O, theft:O, since:O, 2015: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 shift , however , has not affected the group's consistent interest in targeting the video game industry for financially motivated reasons .' [/INST] [This:O, shift:O, ,:O, however:O, ,:O, has:O, not:O, affected:O, the:O, group's:B-HackOrg, consistent:O, interest:O, in:O, targeting:O, the:O, video:B-Idus, game:I-Idus, industry:I-Idus, for:O, financially:O, motivated:O, reasons:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BalkanRAT enables the attacker to remotely control the compromised computer via a graphical interface , i.e , manually; BalkanDoor enables them to remotely control the compromised computer via a command line , i.e , possibly en masse .' [/INST] [BalkanRAT:B-SamFile, enables:O, the:O, attacker:O, to:O, remotely:O, control:B-Features, the:O, compromised:O, computer:O, via:O, a:O, graphical:O, interface:O, ,:O, i.e:O, ,:O, manually;:O, BalkanDoor:B-SamFile, enables:O, them:O, to:O, remotely:O, control:O, the:O, compromised:O, computer:O, via:O, a:O, command:O, line:O, ,:O, i.e:O, ,:O, possibly:O, en:O, masse:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With the contents of the emails , included links and decoy PDFs all involving taxes , the attackers are apparently targeting the financial departments of organizations in the Balkans region .' [/INST] [With:O, the:O, contents:O, of:O, the:O, emails:O, ,:O, included:O, links:O, and:O, decoy:O, PDFs:O, all:O, involving:O, taxes:O, ,:O, the:O, attackers:B-HackOrg, are:O, apparently:O, targeting:O, the:O, financial:B-Idus, departments:O, of:O, organizations:O, in:O, the:O, Balkans:B-Area, region:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Some parts of the campaign were briefly described by a Serbian security provider in 2016 and the Croatian CERT in 2017 .' [/INST] [Some:O, parts:O, of:O, the:O, campaign:O, were:O, briefly:O, described:O, by:O, a:O, Serbian:B-SecTeam, security:I-SecTeam, provider:O, in:O, 2016:B-Time, and:O, the:O, Croatian:O, CERT:O, in:O, 2017: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 campaign has been active at least from January 2016 to the time of writing the most recent detections in our telemetry are from July 2019 .' [/INST] [The:O, campaign:B-OffAct, has:O, been:O, active:O, at:O, least:O, from:O, January:B-Time, 2016:B-Time, to:O, the:O, time:O, of:O, writing:O, the:O, most:O, recent:O, detections:O, in:O, our:O, telemetry:O, are:O, from:O, July:O, 2019: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: 'Our findings show that the mentioned attacks have been orchestrated and we consider them a single long-term campaign that spans Croatia , Serbia , Montenegro , and Bosnia and Herzegovina .' [/INST] [Our:O, findings:O, show:O, that:O, the:O, mentioned:O, attacks:B-HackOrg, have:O, been:O, orchestrated:O, and:O, we:O, consider:O, them:O, a:O, single:O, long-term:O, campaign:O, that:O, spans:O, Croatia:B-Area, ,:O, Serbia:B-Area, ,:O, Montenegro:B-Area, ,:O, and:O, Bosnia:B-Area, and:O, Herzegovina: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: 'We’ve discovered a new version of BalkanDoor with a new method for execution/installation: an exploit of the WinRAR ACE vulnerability CVE-2018-20250 .' [/INST] [We’ve:O, discovered:O, a:O, new:O, version:O, of:O, BalkanDoor:B-HackOrg, with:O, a:O, new:O, method:O, for:O, execution/installation::O, an:O, exploit:O, of:O, the:O, WinRAR:O, ACE:O, vulnerability:O, CVE-2018-20250:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Both BalkanRAT and BalkanDoor spread in Croatia , Serbia , Montenegro , and Bosnia and Herzegovina .' [/INST] [Both:O, BalkanRAT:B-SamFile, and:O, BalkanDoor:B-SamFile, spread:O, in:O, Croatia:B-Area, ,:O, Serbia:B-Area, ,:O, Montenegro:B-Area, ,:O, and:O, Bosnia:B-Area, and:O, Herzegovina: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: 'According to our telemetry , the campaign spreading these tools has been live since 2016 , with the most recent detections as late as in July 2019 .' [/INST] [According:O, to:O, our:O, telemetry:O, ,:O, the:O, campaign:B-OffAct, spreading:O, these:O, tools:O, has:O, been:O, live:O, since:O, 2016:B-Time, ,:O, with:O, the:O, most:O, recent:O, detections:O, as:O, late:O, as:O, in:O, July: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: 'In some of the latest samples of BalkanDoor detected in 2019 , the malware is distributed as an ACE archive , disguised as a RAR archive (i.e , not an executable file) , specially crafted to exploit the WinRAR ACE vulnerability CVE-2018-20250 .' [/INST] [In:O, some:O, of:O, the:O, latest:O, samples:O, of:O, BalkanDoor:B-SamFile, detected:O, in:O, 2019:B-Time, ,:O, the:O, malware:O, is:O, distributed:O, as:O, an:O, ACE:O, archive:O, ,:O, disguised:O, as:O, a:O, RAR:O, archive:O, (i.e:O, ,:O, not:O, an:O, executable:O, file):O, ,:O, specially:O, crafted:O, to:O, exploit:O, the:O, WinRAR:O, ACE:O, vulnerability:O, CVE-2018-20250:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Via the BalkanDoor backdoor , the attacker sends a backdoor command to unlock the screen… and using BalkanRAT , they can do whatever they want on the computer .' [/INST] [Via:O, the:O, BalkanDoor:O, backdoor:O, ,:O, the:O, attacker:B-HackOrg, sends:O, a:O, backdoor:O, command:O, to:O, unlock:O, the:O, screen…:O, and:O, using:O, BalkanRAT:B-Tool, ,:O, they:O, can:O, do:O, whatever:O, they:O, want:O, on:O, the:O, computer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The BalkanDoor backdoor does not implement any exfiltration channel .' [/INST] [The:O, BalkanDoor:B-Tool, backdoor:B-Tool, does:O, not:O, implement:O, any:O, exfiltration:O, channel:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT41 leveraged ADORE.XSEC , a Linux backdoor launched by the Adore-NG rootkit , throughout an organization's Linux environment .' [/INST] [APT41:B-HackOrg, leveraged:O, ADORE.XSEC:B-Tool, ,:O, a:O, Linux:O, backdoor:O, launched:O, by:O, the:O, Adore-NG:O, rootkit:O, ,:O, throughout:O, an:O, organization's:O, Linux: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 backdoor can connect to any of the C&Cs from a hardcoded list – a measure to increase resilience .' [/INST] [The:O, backdoor:B-SamFile, can:O, connect:B-Features, to:O, any:O, of:O, the:O, C&Cs:O, from:O, a:O, hardcoded:O, list:O, –:O, a:O, measure:O, to:O, increase:O, resilience:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The main part of the BalkanRAT malware is a copy of the Remote Utilities software for remote access .' [/INST] [The:O, main:O, part:O, of:O, the:O, BalkanRAT:B-SamFile, malware:I-SamFile, is:O, a:O, copy:O, of:O, the:O, Remote:O, Utilities:O, software:O, for:O, remote:B-OffAct, access:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Interestingly , some of the APT41's POISONPLUG malware samples leverage the Steam Community website associated with Valve , a video game developer and publisher .' [/INST] [Interestingly:O, ,:O, some:O, of:O, the:O, APT41's:B-HackOrg, POISONPLUG:B-Tool, malware:O, samples:O, leverage:O, the:O, Steam:O, Community:O, website:O, associated:O, with:O, Valve:O, ,:O, a:O, video:O, game:O, developer:O, and:O, publisher:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The campaign targeting accountants in the Balkans shows some similarities with a campaign aimed at Ukrainian notaries reported in 2016 .' [/INST] [The:O, campaign:B-OffAct, targeting:O, accountants:O, in:O, the:O, Balkans:O, shows:O, some:O, similarities:O, with:O, a:O, campaign:O, aimed:O, at:O, Ukrainian:B-Area, notaries:O, reported:O, in:O, 2016: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: 'Based on the Let’s Encrypt certificate issuance date , we believe this campaign to be active from May 2019 .' [/INST] [Based:O, on:O, the:O, Let’s:O, Encrypt:B-SecTeam, certificate:O, issuance:O, date:O, ,:O, we:O, believe:O, this:O, campaign:B-OffAct, to:O, be:O, active:O, from:O, May: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: 'One of the domains uncovered during the investigation was identified by the Chinese security vendor CERT 360 as being part of the BITTER APT campaign in May 2019 .' [/INST] [One:O, of:O, the:O, domains:O, uncovered:O, during:O, the:O, investigation:O, was:O, identified:O, by:O, the:O, Chinese:O, security:O, vendor:O, CERT:B-SecTeam, 360:I-SecTeam, as:O, being:O, part:O, of:O, the:O, BITTER:B-HackOrg, APT:I-HackOrg, campaign:O, in:O, May: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: 'Further analysis of the BITTER APT’s infrastructure uncovered a broader phishing campaign targeting other government sites and state-owned enterprises in China .' [/INST] [Further:O, analysis:O, of:O, the:O, BITTER:B-HackOrg, APT’s:I-HackOrg, infrastructure:O, uncovered:O, a:O, broader:O, phishing:O, campaign:O, targeting:O, other:O, government:B-Idus, sites:I-Idus, and:O, state-owned:O, enterprises:B-Idus, in: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: 'Further investigation revealed approximately 40 additional sites , all of which appear to be targeting the government of China and other organisations in China .' [/INST] [Further:O, investigation:O, revealed:O, approximately:O, 40:O, additional:O, sites:O, ,:O, all:O, of:O, which:O, appear:O, to:O, be:O, targeting:O, the:O, government:B-Idus, of:O, China:B-Area, and:O, other:O, organisations:B-Idus, in: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: 'We expect to see BITTER APT continuing to target the government of China by employing spoofed login pages designed to steal user credentials and obtain access to privileged account information .' [/INST] [We:O, expect:O, to:O, see:O, BITTER:B-HackOrg, APT:I-HackOrg, continuing:O, to:O, target:O, the:O, government:B-Idus, of:O, China:B-Area, by:O, employing:O, spoofed:O, login:O, pages:O, designed:O, to:O, steal:O, user:O, credentials:O, and:O, obtain:O, access:O, to:O, privileged:O, account: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: 'This domain and IP address has been previously associated with the BITTER APT and targeting government agencies in China with phishing attacks , based on reporting from 360-CERT .' [/INST] [This:O, domain:O, and:O, IP:O, address:O, has:O, been:O, previously:O, associated:O, with:O, the:O, BITTER:B-HackOrg, APT:I-HackOrg, and:O, targeting:O, government:B-Idus, agencies:I-Idus, in:O, China:B-Area, with:O, phishing:B-OffAct, attacks:I-OffAct, ,:O, based:O, on:O, reporting:O, from:O, 360-CERT:B-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: 'At the time of analysis , the subdomains did not host a website; however , based on BITTER APT group’s targeting patterns , it is highly likely that they were created to host faux login phishing pages designed to steal user’s credentials .' [/INST] [At:O, the:O, time:O, of:O, analysis:O, ,:O, the:O, subdomains:O, did:O, not:O, host:O, a:O, website;:O, however:O, ,:O, based:O, on:O, BITTER:B-HackOrg, APT:I-HackOrg, group’s:O, targeting:O, patterns:O, ,:O, it:O, is:O, highly:O, likely:O, that:O, they:O, were:O, created:O, to:O, host:O, faux:O, login:O, phishing:O, pages:O, designed:O, to:O, steal:B-Purp, user’s:O, credentials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BITTER APT campaigns are primarily targeting China , Pakistan and Saudi Arabia historically .' [/INST] [BITTER:B-HackOrg, APT:I-HackOrg, campaigns:O, are:O, primarily:O, targeting:O, China:B-Area, ,:O, Pakistan:B-Area, and:O, Saudi:B-Area, Arabia:I-Area, historically:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As part of its ongoing research initiatives , the Anomali Threat Research Team has discovered a new phishing attack leveraging spoof sites that seem to be designed to steal email credentials from the target victims within the government of the People’s Republic of China .' [/INST] [As:O, part:O, of:O, its:O, ongoing:O, research:O, initiatives:O, ,:O, the:O, Anomali:B-SecTeam, Threat:O, Research:O, Team:O, has:O, discovered:O, a:O, new:O, phishing:B-OffAct, attack:B-OffAct, leveraging:O, spoof:O, sites:O, that:O, seem:O, to:O, be:O, designed:O, to:O, steal:O, email:O, credentials:O, from:O, the:O, target:O, victims:O, within:O, the:O, government:O, of:O, the:O, People’s:O, Republic:O, of: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: '360 Threat Intelligence Center has reported on related indicators being attributed to BITTER APT a South Asian country suspected Indian APT in open source reporting .' [/INST] [360:B-SecTeam, Threat:I-SecTeam, Intelligence:I-SecTeam, Center:I-SecTeam, has:O, reported:O, on:O, related:O, indicators:O, being:O, attributed:O, to:O, BITTER:B-HackOrg, APT:I-HackOrg, a:O, South:B-Area, Asian:I-Area, country:O, suspected:O, Indian:O, APT:O, in:O, open:O, source:O, reporting:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'China Chopper is a tool that has been used by some state-sponsored actors such as Leviathan and Threat Group-3390 , but during our investigation we've seen actors with varying skill levels .' [/INST] [China:B-Tool, Chopper:I-Tool, is:O, a:O, tool:O, that:O, has:O, been:O, used:O, by:O, some:O, state-sponsored:O, actors:O, such:O, as:O, Leviathan:B-HackOrg, and:O, Threat:B-HackOrg, Group-3390:I-HackOrg, ,:O, but:O, during:O, our:O, investigation:O, we've:O, seen:O, actors:O, with:O, varying:O, skill:O, levels:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'China Chopper is a tool that allows attackers to remotely control the target system that needs to be running a web server application before it can be targeted by the tool .' [/INST] [China:B-SamFile, Chopper:I-SamFile, is:O, a:O, tool:O, that:O, allows:O, attackers:B-HackOrg, to:O, remotely:O, control:B-Features, the:O, target:O, system:O, that:O, needs:O, to:O, be:O, running:O, a:O, web:O, server:O, application:O, before:O, it:O, can:O, be:O, targeted:O, by: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: 'Cisco Talos discovered significant China Chopper activity over a two-year period beginning in June 2017 , which shows that even nine years after its creation , attackers are using China Chopper without significant modifications .' [/INST] [Cisco:B-SecTeam, Talos:I-SecTeam, discovered:O, significant:O, China:B-Tool, Chopper:I-Tool, activity:O, over:O, a:O, two-year:O, period:O, beginning:O, in:O, June:B-Time, 2017:I-Time, ,:O, which:O, shows:O, that:O, even:O, nine:O, years:O, after:O, its:O, creation:O, ,:O, attackers:B-HackOrg, are:O, using:O, China:B-Tool, Chopper:I-Tool, without:O, significant:O, modifications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Here , we investigate a campaign targeting an Asian government organization .' [/INST] [Here:O, ,:O, we:O, investigate:O, a:O, campaign:B-OffAct, targeting:O, an:O, Asian:B-Area, government:B-Org, organization:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We observed another campaign targeting an organisation located in Lebanon .' [/INST] [We:O, observed:O, another:O, campaign:B-OffAct, targeting:O, an:O, organisation:O, located:O, in:O, Lebanon: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: 'China Chopper contains a remote shell (Virtual Terminal) function that has a first suggested command of netstat an|find ESTABLISHED .' [/INST] [China:B-SamFile, Chopper:I-SamFile, contains:O, a:O, remote:O, shell:O, (Virtual:O, Terminal):O, function:O, that:O, has:O, a:O, first:O, suggested:O, command:B-Features, of:O, netstat:O, an|find:O, ESTABLISHED:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 download and install an archive containing executables and trivially modified source code of the password-stealing tool Mimikatz Lite as GetPassword.exe .' [/INST] [They:O, download:O, and:O, install:O, an:O, archive:O, containing:O, executables:O, and:O, trivially:O, modified:O, source:O, code:O, of:O, the:O, password-stealing:O, tool:O, Mimikatz:B-SamFile, Lite:I-SamFile, as:O, GetPassword.exe:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The tool investigates the Local Security Authority Subsystem memory space in order to find , decrypt and display retrieved passwords .' [/INST] [The:O, tool:B-SamFile, investigates:B-Features, the:O, Local:O, Security:O, Authority:O, Subsystem:O, memory:O, space:O, in:O, order:O, to:O, find:O, ,:O, decrypt:O, and:O, display:O, retrieved:O, passwords:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 actor attempts to exploit CVE-2018–8440 — an elevation of privilege vulnerability in Windows when it improperly handles calls to Advanced Local Procedure Call — to elevate the privileges using a modified proof-of-concept exploit .' [/INST] [The:O, actor:B-HackOrg, attempts:O, to:O, exploit:O, CVE-2018–8440:B-Exp, —:O, an:O, elevation:O, of:O, privilege:O, vulnerability:B-Exp, in:O, Windows:O, when:O, it:O, improperly:O, handles:O, calls:O, to:O, Advanced:O, Local:O, Procedure:O, Call:O, —:O, to:O, elevate:O, the:O, privileges:O, using:O, a:O, modified:O, proof-of-concept:B-Exp, exploit:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attacker obtains the required privileges and launches a few other tools to modify the access control lists (ACLs) of all websites running on the affected server .' [/INST] [The:O, attacker:B-HackOrg, obtains:O, the:O, required:O, privileges:O, and:O, launches:O, a:O, few:O, other:O, tools:O, to:O, modify:B-Way, the:O, access:O, control:O, lists:O, (ACLs):O, of:O, all:O, websites:O, running:O, on:O, the:O, affected:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Windows branch of the Cloud Atlas intrusion set still uses spear-phishing emails to target high profile victims .' [/INST] [The:O, Windows:O, branch:O, of:O, the:O, Cloud:B-HackOrg, Atlas:I-HackOrg, intrusion:O, set:O, still:O, uses:O, spear-phishing:B-Way, emails:I-Way, to:O, target:O, high:O, profile:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'From the beginning of 2019 until July , we have been able to identify different spear-phishing campaigns related to this threat actor mostly focused on Russia , Central Asia and regions of Ukraine with ongoing military conflicts .' [/INST] [From:O, the:O, beginning:O, of:O, 2019:O, until:O, July:O, ,:O, we:O, have:O, been:O, able:O, to:O, identify:O, different:O, spear-phishing:B-Way, campaigns:B-OffAct, related:O, to:O, this:O, threat:B-HackOrg, actor:I-HackOrg, mostly:O, focused:O, on:O, Russia:B-Area, ,:O, Central:B-Area, Asia:I-Area, and:O, regions:O, of:O, Ukraine:B-Area, with:O, ongoing:O, military:O, conflicts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 described one of the techniques used by Cloud Atlas in 2017 and our colleagues at Palo Alto Networks also wrote about it in November 2018 .' [/INST] [We:O, described:O, one:O, of:O, the:O, techniques:O, used:O, by:O, Cloud:B-HackOrg, Atlas:I-HackOrg, in:O, 2017:B-Time, and:O, our:O, colleagues:O, at:O, Palo:B-SecTeam, Alto:I-SecTeam, Networks:O, also:O, wrote:O, about:O, it:O, in:O, November:B-Time, 2018: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 China Chopper actor activity starts with the download and execution of two exploit files which attempt to exploit the Windows vulnerabilities CVE-2015-0062 , CVE-2015-1701 and CVE-2016-0099 to allow the attacker to modify other objects on the server .' [/INST] [The:O, China:B-SamFile, Chopper:I-SamFile, actor:O, activity:O, starts:O, with:O, the:O, download:O, and:O, execution:O, of:O, two:O, exploit:O, files:O, which:O, attempt:O, to:O, exploit:O, the:O, Windows:O, vulnerabilities:O, CVE-2015-0062:B-Exp, ,:O, CVE-2015-1701:B-Exp, and:O, CVE-2016-0099:B-Exp, to:O, allow:O, the:O, attacker:B-HackOrg, to:O, modify:O, other:O, objects:O, on:O, the:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Previously , Cloud Atlas dropped its validator” implant named PowerShower” directly , after exploiting the Microsoft Equation vulnerability CVE-2017-11882 mixed with CVE-2018-0802 .' [/INST] [Previously:O, ,:O, Cloud:B-HackOrg, Atlas:I-HackOrg, dropped:O, its:O, validator”:O, implant:O, named:O, PowerShower”:O, directly:O, ,:O, after:O, exploiting:O, the:O, Microsoft:O, Equation:O, vulnerability:O, CVE-2017-11882:B-Exp, mixed:O, with:O, CVE-2018-0802:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This malware has been used since October 2018 by Cloud Atlas as a validator and now as a second stage .' [/INST] [This:O, malware:O, has:O, been:O, used:O, since:O, October:B-Time, 2018:I-Time, by:O, Cloud:B-HackOrg, Atlas:I-HackOrg, as:O, a:O, validator:O, and:O, now:O, as:O, a:O, second:O, stage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cloud Atlas remains very prolific in Eastern Europe and Central Asia .' [/INST] [Cloud:B-HackOrg, Atlas:I-HackOrg, remains:O, very:O, prolific:O, in:O, Eastern:B-Area, Europe:I-Area, and:O, Central: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: 'During its recent campaigns , Cloud Atlas used a new polymorphic” infection chain relying no more on PowerShower directly after infection , but executing a polymorphic HTA hosted on a remote server , which is used to drop three different files on the local system .' [/INST] [During:O, its:O, recent:O, campaigns:O, ,:O, Cloud:B-HackOrg, Atlas:I-HackOrg, used:O, a:O, new:O, polymorphic”:O, infection:B-Way, chain:I-Way, relying:O, no:O, more:O, on:O, PowerShower:O, directly:O, after:O, infection:O, ,:O, but:O, executing:O, a:O, polymorphic:O, HTA:O, hosted:O, on:O, a:O, remote:O, server:O, ,:O, which:O, is:O, used:O, to:O, drop:O, three:O, different:O, files:O, on:O, the:O, local: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 Gamaredon Group has been actively launching spear-phishing attacks against Ukrainian government and military departments from the mid-2013s .' [/INST] [The:O, Gamaredon:B-HackOrg, Group:I-HackOrg, has:O, been:O, actively:O, launching:O, spear-phishing:B-Way, attacks:I-Way, against:O, Ukrainian:B-Area, government:B-Idus, and:O, military:B-Idus, departments:O, from:O, the:O, mid-2013s: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 addition , the anonymous cybersecurity experts referenced in the article connected the malicious Gamaredon Group actors with Russian state-sponsored hackers .' [/INST] [In:O, addition:O, ,:O, the:O, anonymous:O, cybersecurity:O, experts:O, referenced:O, in:O, the:O, article:O, connected:O, the:O, malicious:O, Gamaredon:B-HackOrg, Group:I-HackOrg, actors:O, with:O, Russian:B-Area, state-sponsored:O, hackers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In one article published in the Kharkiv Observer – an independent Ukranian online publication – an unnamed source stated that even the Ukrainian Presidential Administration has been attacked by malware developed by the Gamaredon Group .' [/INST] [In:O, one:O, article:O, published:O, in:O, the:O, Kharkiv:O, Observer:O, –:O, an:O, independent:O, Ukranian:B-Area, online:O, publication:O, –:O, an:O, unnamed:O, source:O, stated:O, that:O, even:O, the:O, Ukrainian:O, Presidential:B-Idus, Administration:I-Idus, has:O, been:O, attacked:O, by:O, malware:O, developed:O, by:O, the:O, Gamaredon: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: 'Gamaredon Group primarily target Ukrainian organizations and resources using spear-phishing attacks , and they use military or similar documents as bait .' [/INST] [Gamaredon:B-HackOrg, Group:I-HackOrg, primarily:O, target:O, Ukrainian:O, organizations:B-Idus, and:O, resources:O, using:O, spear-phishing:O, attacks:O, ,:O, and:O, they:O, use:O, military:O, or:O, similar:O, documents:B-Tool, as:O, bait:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once they have found a victim , they then deploy remote manipulation system binaries (RMS) via self-extracting archives and batch command files .' [/INST] [Once:O, they:B-HackOrg, have:O, found:O, a:O, victim:O, ,:O, they:O, then:O, deploy:O, remote:O, manipulation:O, system:O, binaries:O, (RMS):B-Tool, via:O, self-extracting:O, archives:O, and:O, batch:O, command: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: 'The following archive caught our attention for exploiting a WinRAR unacev2 module vulnerability and for having interesting content .' [/INST] [The:O, following:O, archive:B-SamFile, caught:O, our:O, attention:O, for:O, exploiting:O, a:O, WinRAR:O, unacev2:O, module:O, vulnerability:B-Exp, and:O, for:O, having:O, interesting:O, content:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During a recent incident response investigation , our team identified new attacks by the financially motivated attack group ITG08 , also known as FIN6 .' [/INST] [During:O, a:O, recent:O, incident:O, response:O, investigation:O, ,:O, our:O, team:O, identified:O, new:O, attacks:O, by:O, the:O, financially:O, motivated:O, attack:O, group:O, ITG08:B-HackOrg, ,:O, also:O, known:O, as:O, FIN6: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: 'More recently , ITG08 has been observed targeting e-commerce environments by injecting malicious code into online checkout pages of compromised websites — a technique known as online skimming — thereby stealing payment card data transmitted to the vendor by unsuspecting customers .' [/INST] [More:O, recently:O, ,:O, ITG08:B-HackOrg, has:O, been:O, observed:O, targeting:O, e-commerce:B-Idus, environments:I-Idus, by:O, injecting:B-Way, malicious:I-Way, code:I-Way, into:O, online:O, checkout:O, pages:O, of:O, compromised:O, websites:O, —:O, a:O, technique:O, known:O, as:O, online:O, skimming:O, —:O, thereby:O, stealing:O, payment:O, card:O, data:O, transmitted:O, to:O, the:O, vendor:O, by:O, unsuspecting:O, customers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This tool , a TTP observed in ITG08 attacks since 2018 , is sold on the dark web by an underground malware-as-a-service (MaaS) provider .' [/INST] [This:O, tool:O, ,:O, a:O, TTP:O, observed:O, in:O, ITG08:B-HackOrg, attacks:O, since:O, 2018:B-Time, ,:O, is:O, sold:O, on:O, the:O, dark:O, web:O, by:O, an:O, underground:O, malware-as-a-service:O, (MaaS):O, provider:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ITG08 is an organized cybercrime gang that has been active since 2015 , mostly targeting pointof-sale (POS) machines in brick-and-mortar retailers and companies in the hospitality sector in the U.S. and Europe .' [/INST] [ITG08:B-HackOrg, is:O, an:O, organized:O, cybercrime:O, gang:O, that:O, has:O, been:O, active:O, since:O, 2015:B-Time, ,:O, mostly:O, targeting:O, pointof-sale:O, (POS):O, machines:O, in:O, brick-and-mortar:O, retailers:B-Idus, and:O, companies:O, in:O, the:O, hospitality:B-Idus, sector:I-Idus, in:O, the:B-Area, U.S.:I-Area, and:O, Europe:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Past campaigns by ITG08 using the More_eggs backdoor were last reported in February 2019 .' [/INST] [Past:O, campaigns:O, by:O, ITG08:B-HackOrg, using:O, the:O, More_eggs:B-Tool, backdoor:I-Tool, were:O, last:O, reported:O, in:O, February: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: 'Attackers use it to create , expand and cement their foothold in compromised environments .' [/INST] [Attackers:B-HackOrg, use:O, it:O, to:O, create:O, ,:O, expand:B-Way, and:O, cement:B-Way, their:O, foothold:O, in:O, compromised: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: 'Lastly , ITG08 used Comodo code-signing certificates several times during the course of the campaign .' [/INST] [Lastly:O, ,:O, ITG08:B-HackOrg, used:O, Comodo:B-Tool, code-signing:I-Tool, certificates:I-Tool, several:O, times:O, during:O, the:O, course:O, of:O, the:O, campaign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Let’s take a closer look at ITG08’s TTPs that are relevant to the campaign we investigated , starting with its spear phishing and intrusion tactics and covering information on its use of the More_eggs backdoor .' [/INST] [Let’s:O, take:O, a:O, closer:O, look:O, at:O, ITG08’s:B-HackOrg, TTPs:O, that:O, are:O, relevant:O, to:O, the:O, campaign:O, we:O, investigated:O, ,:O, starting:O, with:O, its:O, spear:B-Way, phishing:I-Way, and:O, intrusion:B-Way, tactics:I-Way, and:O, covering:B-Way, information:I-Way, on:O, its:O, use:O, of:O, the:O, More_eggs:B-SamFile, backdoor:I-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: 'Additional capabilities of the More_eggs malware include the download and execution of files and scripts and running commands using cmd.exe .' [/INST] [Additional:O, capabilities:O, of:O, the:O, More_eggs:B-SamFile, malware:I-SamFile, include:O, the:O, download:B-Features, and:O, execution:B-Features, of:I-Features, files:I-Features, and:O, scripts:O, and:O, running:O, commands:O, using:O, cmd.exe:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'X-Force IRIS determined that the More_eggs backdoor later downloaded additional files , including a signed binary shellcode loader and a signed Dynamic Link Library (DLL) , as described below , to create a reverse shell and connect to a remote host .' [/INST] [X-Force:B-SecTeam, IRIS:I-SecTeam, determined:O, that:O, the:O, More_eggs:B-SamFile, backdoor:I-SamFile, later:O, downloaded:O, additional:O, files:O, ,:O, including:O, a:O, signed:O, binary:O, shellcode:O, loader:O, and:O, a:O, signed:O, Dynamic:O, Link:O, Library:O, (DLL):O, ,:O, as:O, described:O, below:O, ,:O, to:O, create:O, a:O, reverse:O, shell:O, and:O, connect:O, to:O, a:O, remote:O, host:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once the ITG08 established a foothold on the network , they employed WMI and PowerShell techniques to perform network reconnaissance and move laterally within the environment .' [/INST] [Once:O, the:O, ITG08:B-HackOrg, established:O, a:O, foothold:O, on:O, the:O, network:O, ,:O, they:O, employed:O, WMI:B-Tool, and:O, PowerShell:B-Tool, techniques:O, to:O, perform:O, network:O, reconnaissance:O, and:O, move:O, laterally:O, within:O, the: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 attackers used this technique to remotely install a Metasploit reverse TCP stager on select systems , subsequently spawning a Meterpreter session and Mimikatz .' [/INST] [The:O, attackers:B-HackOrg, used:O, this:O, technique:O, to:O, remotely:O, install:B-OffAct, a:O, Metasploit:O, reverse:O, TCP:O, stager:O, on:O, select:O, systems:O, ,:O, subsequently:O, spawning:O, a:O, Meterpreter:O, session:O, and:O, Mimikatz:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the More_eggs malware , ITG08 leveraged in-memory attacks by injecting malicious code , in this case Mimikatz , into legitimate system processes .' [/INST] [In:O, addition:O, to:O, the:O, More_eggs:B-Tool, malware:O, ,:O, ITG08:B-HackOrg, leveraged:O, in-memory:O, attacks:O, by:O, injecting:O, malicious:O, code:O, ,:O, in:O, this:O, case:O, Mimikatz:B-Tool, ,:O, into:O, legitimate:O, system:O, processes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 recently rising attack tool in ITG08 campaigns has been the More_eggs JScript backdoor .' [/INST] [A:O, recently:O, rising:O, attack:O, tool:O, in:O, ITG08:B-HackOrg, campaigns:O, has:O, been:O, the:O, More_eggs:B-Tool, JScript:I-Tool, backdoor: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: 'Mimikatz is a post-exploitation tool that allows attackers to extract credentials from volatile memory .' [/INST] [Mimikatz:B-SamFile, is:O, a:O, post-exploitation:O, tool:O, that:O, allows:O, attackers:O, to:O, extract:B-Features, credentials:I-Features, from:O, volatile:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After a successful phishing attack in which users have opened emails and browsed to malicious links , ITG08 attackers install the More_eggs JScript backdoor on user devices alongside several other malware components .' [/INST] [After:O, a:O, successful:O, phishing:O, attack:O, in:O, which:O, users:O, have:O, opened:O, emails:O, and:O, browsed:O, to:O, malicious:O, links:O, ,:O, ITG08:B-HackOrg, attackers:O, install:B-OffAct, the:O, More_eggs:B-Tool, JScript:I-Tool, backdoor:I-Tool, on:O, user:O, devices:O, alongside:O, several:O, other:O, malware:O, components:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Beyond using More_eggs as a backdoor , ITG08 in this campaign also used offensive security tools and PowerShell scripts to carry out the different stages of the attack .' [/INST] [Beyond:O, using:O, More_eggs:B-Tool, as:O, a:O, backdoor:O, ,:O, ITG08:B-HackOrg, in:O, this:O, campaign:O, also:O, used:O, offensive:B-Tool, security:I-Tool, tools:I-Tool, and:O, PowerShell:B-Tool, scripts:I-Tool, to:O, carry:O, out:O, the:O, different:O, stages:O, of:O, the:O, attack:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After injecting Meterpreter into memory , the attacker had complete control of the infected device .' [/INST] [After:O, injecting:B-OffAct, Meterpreter:I-OffAct, into:O, memory:O, ,:O, the:O, attacker:B-HackOrg, had:O, complete:O, control:O, of:O, the:O, infected:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'IBM X-Force IRIS has gained insight into ITG08’s intrusion methods , ability to navigate laterally , use of custom and open-source tools , and typical persistence mechanisms .' [/INST] [IBM:B-SecTeam, X-Force:I-SecTeam, IRIS:I-SecTeam, has:O, gained:O, insight:O, into:O, ITG08’s:B-HackOrg, intrusion:O, methods:O, ,:O, ability:O, to:O, navigate:O, laterally:O, ,:O, use:O, of:O, custom:O, and:O, open-source:O, tools:B-Tool, ,:O, and:O, typical:O, persistence:O, mechanisms:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After the phishing email resulted in a successful infiltration , ITG08 used the More_eggs backdoor to gain a foothold and infect additional devices .' [/INST] [After:O, the:O, phishing:B-Way, email:I-Way, resulted:O, in:O, a:O, successful:O, infiltration:O, ,:O, ITG08:B-HackOrg, used:O, the:O, More_eggs:B-Tool, backdoor:I-Tool, to:O, gain:O, a:O, foothold:O, and:O, infect:O, additional:O, devices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , configuring PowerShell script logging and identifying any obfuscation will assist in mitigating ITG08’s use of PowerShell to conduct malicious activity .' [/INST] [In:O, addition:O, ,:O, configuring:O, PowerShell:O, script:O, logging:O, and:O, identifying:O, any:O, obfuscation:O, will:O, assist:O, in:O, mitigating:O, ITG08’s:B-HackOrg, use:O, of:O, PowerShell:B-Tool, to:O, conduct:O, malicious: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: 'The LYCEUM threat group targets organizations in sectors of strategic national importance , including oil and gas and possibly telecommunications .' [/INST] [The:O, LYCEUM:B-HackOrg, threat:O, group:O, targets:O, organizations:O, in:O, sectors:O, of:O, strategic:B-Idus, national:I-Idus, importance:I-Idus, ,:O, including:O, oil:B-Idus, and:I-Idus, gas:I-Idus, and:O, possibly:O, telecommunications:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU research indicates that LYCEUM may have been active as early as April 2018 .' [/INST] [CTU:B-SecTeam, research:O, indicates:O, that:O, LYCEUM:B-HackOrg, may:O, have:O, been:O, active:O, as:O, early:O, as:O, April:B-Time, 2018: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 May 2019 , the threat group launched a campaign against oil and gas organizations in the Middle East .' [/INST] [In:O, May:B-Time, 2019:I-Time, ,:O, the:O, threat:O, group:B-HackOrg, launched:O, a:O, campaign:B-OffAct, against:O, oil:O, and:O, gas:O, organizations:O, in:O, the:O, Middle:B-Area, East:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This campaign followed a sharp uptick in development and testing of their toolkit against a public multivendor malware scanning service in February 2019 .' [/INST] [This:O, campaign:B-OffAct, followed:O, a:O, sharp:O, uptick:O, in:O, development:O, and:O, testing:O, of:O, their:O, toolkit:O, against:O, a:O, public:O, multivendor:O, malware:O, scanning:O, service:O, in:O, February: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: 'Stylistically , the observed tradecraft resembles activity from groups such as COBALT GYPSY (which is related to OilRig , Crambus , and APT34 and COBALT TRINITY also known as Elfin and APT33 .' [/INST] [Stylistically:O, ,:O, the:O, observed:O, tradecraft:O, resembles:O, activity:O, from:O, groups:O, such:O, as:O, COBALT:B-HackOrg, GYPSY:I-HackOrg, (which:O, is:O, related:O, to:O, OilRig:B-HackOrg, ,:O, Crambus:B-HackOrg, ,:O, and:O, APT34:B-HackOrg, and:O, COBALT:B-HackOrg, TRINITY:I-HackOrg, also:O, known:O, as:O, Elfin:B-HackOrg, and:O, APT33:B-HackOrg, .:O] </s> |
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