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<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In some cases , the victims were redirected to these actor-controlled servers displaying the stolen certificate .' [/INST] [In:O, some:O, cases:O, ,:O, the:O, victims:O, were:O, redirected:O, to:O, these:O, actor-controlled:B-HackOrg, servers:B-Tool, displaying:O, the:O, stolen:O, certificate:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 notable aspect of the campaign was the actors' ability to impersonate VPN applications , such as Cisco Adaptive Security Appliance (ASA) products , to perform MitM attacks .' [/INST] [One:O, notable:O, aspect:O, of:O, the:O, campaign:O, was:O, the:O, actors':B-HackOrg, ability:O, to:O, impersonate:O, VPN:B-Tool, applications:I-Tool, ,:O, such:O, as:O, Cisco:O, Adaptive:B-Tool, Security:I-Tool, Appliance:I-Tool, (ASA):O, products:O, ,:O, to:O, perform:O, MitM:O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 this time , we do not believe that the attackers found a new ASA exploit .' [/INST] [At:O, this:O, time:O, ,:O, we:B-SecTeam, do:O, not:O, believe:O, that:O, the:O, attackers:B-HackOrg, found:O, a:O, new:O, ASA: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: 'Rather , they likely abused the trust relationship associated with the ASA's SSL certificate to harvest VPN credentials to gain remote access to the victim's network .' [/INST] [Rather:O, ,:O, they:B-HackOrg, likely:O, abused:O, the:O, trust:O, relationship:O, associated:O, with:O, the:O, ASA's:B-Tool, SSL:O, certificate:O, to:O, harvest:O, VPN:O, credentials:O, to:O, gain:O, remote:O, access:O, to:O, the:O, victim's:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As an example , DNS records indicate that a targeted domain resolved to an actor-controlled MitM server .' [/INST] [As:O, an:O, example:O, ,:O, DNS:O, records:O, indicate:O, that:O, a:O, targeted:O, domain:O, resolved:O, to:O, an:O, actor-controlled:B-HackOrg, MitM:B-Tool, server: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 another case , the attackers were able to compromise NetNod , a non-profit , independent internet infrastructure organization based in Sweden .' [/INST] [In:O, another:O, case:O, ,:O, the:O, attackers:B-HackOrg, were:O, able:O, to:O, compromise:B-Way, NetNod:I-Way, ,:O, a:O, non-profit:O, ,:O, independent:O, internet:O, infrastructure:O, organization:O, based:O, in:O, Sweden: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: 'Using this access , the threat actors were able to manipulate the DNS records for sa1[.]dnsnode[.]net .' [/INST] [Using:O, this:O, access:O, ,:O, the:O, threat:O, actors:B-HackOrg, were:O, able:O, to:O, manipulate:B-Way, the:O, DNS:O, records:O, for:O, sa1[.]dnsnode[.]net:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 redirection allowed the attackers to harvest credentials of administrators who manage domains with the TLD of Saudi Arabia (.sa) .' [/INST] [This:O, redirection:O, allowed:O, the:O, attackers:B-HackOrg, to:O, harvest:B-Purp, credentials:I-Purp, of:O, administrators:O, who:O, manage:O, domains:O, with:O, the:O, TLD:O, of:O, Saudi:B-Area, Arabia:I-Area, (.sa):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 of the more recent campaigns on March 27 , 2019 , the threat actors targeted the Sweden-based consulting firm Cafax .' [/INST] [In:O, one:O, of:O, the:O, more:O, recent:O, campaigns:B-OffAct, on:O, March:B-Time, 27:I-Time, ,:O, 2019:O, ,:O, the:O, threat:B-HackOrg, actors:I-HackOrg, targeted:O, the:O, Sweden-based:O, consulting:O, firm:O, Cafax: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: 'We assess with high confidence that Sea Turtle was targeted in an attempt to re-establish access to the NetNod network , which was previously compromised by this threat actor .' [/INST] [We:O, assess:O, with:O, high:O, confidence:O, that:O, Sea:B-OffAct, Turtle:I-OffAct, was:O, targeted:O, in:O, an:O, attempt:O, to:O, re-establish:O, access:O, to:O, the:O, NetNod:B-Org, network:O, ,:O, which:O, was:O, previously:O, compromised:O, by:O, this: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: 'Obtaining access to this ccTLD registrars would have allowed attackers to hijack any domain that used those ccTLDs .' [/INST] [Obtaining:B-Purp, access:I-Purp, to:O, this:O, ccTLD:O, registrars:O, would:O, have:O, allowed:O, attackers:B-HackOrg, to:O, hijack:B-Purp, any:O, domain:O, that:O, used:O, those:O, ccTLDs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 actors perform DNS hijacking through the use of actor-controlled name servers .' [/INST] [These:O, actors:B-HackOrg, perform:O, DNS:O, hijacking:O, through:O, the:O, use:O, of:O, actor-controlled:O, name:B-Tool, servers: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: 'Sea Turtle have been more aggressive in their pursuit targeting DNS registries and a number of registrars , including those that manage ccTLDs .' [/INST] [Sea:B-HackOrg, Turtle:I-HackOrg, have:O, been:O, more:O, aggressive:O, in:O, their:O, pursuit:O, targeting:O, DNS:B-Idus, registries:I-Idus, and:O, a:O, number:B-Idus, of:I-Idus, registrars:I-Idus, ,:O, including:O, those:O, that:O, manage:O, ccTLDs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 actors use Let's Encrypts , Comodo , Sectigo , and self-signed certificates in their MitM servers to gain the initial round of credentials .' [/INST] [These:O, actors:B-HackOrg, use:O, Let's:O, Encrypts:B-Tool, ,:O, Comodo:B-Tool, ,:O, Sectigo:B-Tool, ,:O, and:O, self-signed:B-Tool, certificates:I-Tool, in:O, their:O, MitM:B-Tool, servers:I-Tool, to:O, gain:O, the:O, initial:O, round:O, of: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: 'These actors have been more aggressive in their pursuit targeting DNS registries and a number of registrars , including those that manage ccTLDs .' [/INST] [These:O, actors:B-HackOrg, have:O, been:O, more:O, aggressive:O, in:O, their:O, pursuit:O, targeting:O, DNS:O, registries:O, and:O, a:O, number:O, of:O, registrars:O, ,:O, including:O, those:O, that:O, manage:B-Org, ccTLDs: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: 'Once they have access to the network , they steal the organization's legitimate SSL certificate and use it on actor-controlled servers .' [/INST] [Once:O, they:O, have:O, access:B-Way, to:I-Way, the:I-Way, network:I-Way, ,:O, they:B-HackOrg, steal:B-Purp, the:I-Purp, organization's:I-Purp, legitimate:O, SSL:O, certificate:O, and:O, use:O, it:O, on:O, actor-controlled:B-Tool, servers: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: 'We believe that the Sea Turtle campaign continues to be highly successful for several reasons .' [/INST] [We:B-SecTeam, believe:O, that:O, the:O, Sea:B-OffAct, Turtle:I-OffAct, campaign:O, continues:O, to:O, be:O, highly:O, successful:O, for:O, several: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: 'Had more ccTLDs implemented security features such as registrar locks , attackers would be unable to redirect the targeted domains .' [/INST] [Had:O, more:O, ccTLDs:B-Way, implemented:O, security:O, features:O, such:O, as:O, registrar:O, locks:O, ,:O, attackers:B-HackOrg, would:O, be:O, unable:O, to:O, redirect:O, the:O, targeted:O, domains:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 stole organizations' SSL certificates associated with security appliances such as ASA to obtain VPN credentials , allowing the actors to gain access to the targeted network .' [/INST] [The:O, attackers:B-HackOrg, stole:B-Purp, organizations':I-Purp, SSL:I-Purp, certificates:O, associated:O, with:O, security:O, appliances:O, such:O, as:O, ASA:B-Tool, to:O, obtain:O, VPN:O, credentials:O, ,:O, allowing:O, the:O, actors:O, to:O, gain:O, access:O, to:O, the:O, targeted:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actors were able to maintain long term persistent access to many of these networks by utilizing compromised credentials .' [/INST] [The:O, threat:B-HackOrg, actors:I-HackOrg, were:O, able:O, to:O, maintain:B-Way, long:O, term:O, persistent:O, access:O, to:O, many:O, of:O, these:O, networks:O, by:O, utilizing:B-Way, compromised:I-Way, credentials: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: 'Cisco Talos will continue to monitor Sea Turtle and work with our partners to understand the threat as it continues to evolve to ensure that our customers remain protected and the public is informed .' [/INST] [Cisco:B-SecTeam, Talos:I-SecTeam, will:O, continue:O, to:O, monitor:O, Sea:B-OffAct, Turtle:I-OffAct, and:O, work:O, with:O, our:O, partners:O, to:O, understand:O, the:O, threat:O, as:O, it:O, continues:O, to:O, evolve:O, to:O, ensure:O, that:O, our:O, customers:O, remain:O, protected:O, and:O, the:O, public:O, is:O, informed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the user enables macro to open the xlsm file , it will then drop the legitimate script engine AutoHotkey along with a malicious script file .' [/INST] [If:O, the:O, user:O, enables:O, macro:O, to:O, open:O, the:O, xlsm:B-Tool, file:I-Tool, ,:O, it:B-SamFile, will:O, then:O, drop:B-Features, the:I-Features, legitimate:I-Features, script:I-Features, engine:O, AutoHotkey:O, along:O, with:O, a:O, malicious:O, script:O, file:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Create a link file in the startup folder for AutoHotkeyU32.exe , allowing the attack to persist even after a system restart .' [/INST] [Create:O, a:O, link:B-SamFile, file:I-SamFile, in:O, the:O, startup:O, folder:O, for:O, AutoHotkeyU32.exe:B-SamFile, ,:O, allowing:O, the:O, attack:O, to:O, persist:O, even:O, after:O, a:O, system:O, restart:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 importantly , one of these files also enables the download of TeamViewer , a remote access tool that gives threat actors remote control over the system .' [/INST] [More:O, importantly:O, ,:O, one:O, of:O, these:O, files:O, also:O, enables:O, the:O, download:B-Way, of:O, TeamViewer:B-Tool, ,:O, a:O, remote:O, access:O, tool:O, that:O, gives:O, threat:B-HackOrg, actors:I-HackOrg, remote:B-Purp, control:O, over:O, the: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: 'Such attacks highlight the need for caution before downloading files from unknown sources and enabling macro for files from unknown sources .' [/INST] [Such:O, attacks:B-SamFile, highlight:O, the:O, need:O, for:O, caution:O, before:O, downloading:B-Way, files:I-Way, from:O, unknown:O, sources:O, and:O, enabling:O, macro:O, for:O, files:O, from:O, unknown:O, sources:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 agency's hacking division freed it from having to disclose its often controversial operations to the NSA (its primary bureaucratic rival) in order to draw on the NSA's hacking capacities .' [/INST] [The:O, agency's:O, hacking:B-HackOrg, division:I-HackOrg, freed:O, it:O, from:O, having:O, to:O, disclose:O, its:O, often:O, controversial:O, operations:O, to:O, the:O, NSA:B-Org, (its:O, primary:O, bureaucratic:O, rival):O, in:O, order:O, to:O, draw:B-Purp, on:I-Purp, the:O, NSA's:O, hacking:O, capacities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By the end of 2016 , the CIA's hacking division , which formally falls under the agency's Center for Cyber Intelligence (CCI) , had over 5000 registered users and had produced more than a thousand hacking systems , trojans , viruses , and other weaponized malware .' [/INST] [By:O, the:O, end:O, of:O, 2016:B-Time, ,:O, the:O, CIA's:B-HackOrg, hacking:I-HackOrg, division:I-HackOrg, ,:O, which:O, formally:O, falls:O, under:O, the:O, agency's:O, Center:O, for:O, Cyber:O, Intelligence:O, (CCI):O, ,:O, had:O, over:O, 5000:O, registered:O, users:O, and:O, had:O, produced:O, more:O, than:O, a:O, thousand:O, hacking:B-Tool, systems:I-Tool, ,:O, trojans:B-Tool, ,:O, viruses:B-Tool, ,:O, and:O, other:O, weaponized:B-Tool, malware: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: 'Such is the scale of the CIA's undertaking that by 2016 , its hackers had utilized more code than that used to run Facebook .' [/INST] [Such:O, is:O, the:O, scale:O, of:O, the:O, CIA's:B-Area, undertaking:O, that:O, by:O, 2016:B-Time, ,:O, its:O, hackers:B-HackOrg, had:O, utilized:O, more:O, code:O, than:O, that:O, used:O, to:O, run:O, Facebook:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Wikileaks has carefully reviewed the Year Zero disclosure and published substantive CIA documentation while avoiding the distribution of 'armed' cyberweapons until a consensus emerges on the technical and political nature of the CIA's program and how such 'weapons' should analyzed , disarmed and published .' [/INST] [Wikileaks:B-SecTeam, has:O, carefully:O, reviewed:O, the:O, Year:O, Zero:O, disclosure:O, and:O, published:O, substantive:O, CIA:B-HackOrg, documentation:O, while:O, avoiding:O, the:O, distribution:O, of:O, 'armed':O, cyberweapons:O, until:O, a:O, consensus:O, emerges:O, on:O, the:O, technical:O, and:O, political:O, nature:O, of:O, the:O, CIA's:O, program:O, and:O, how:O, such:O, 'weapons':O, should:O, analyzed:O, ,:O, disarmed:O, and:O, published:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 redactions include ten of thousands of CIA targets and attack machines throughout Latin America , Europe and the United States .' [/INST] [These:O, redactions:O, include:O, ten:O, of:O, thousands:O, of:O, CIA:B-HackOrg, targets:O, and:O, attack:O, machines:O, throughout:O, Latin:B-Area, America:I-Area, ,:O, Europe:B-Area, and:O, the:B-Area, United:I-Area, States:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The increasing sophistication of surveillance techniques has drawn comparisons with George Orwell's 1984 , but Weeping Angel , developed by the CIA's Embedded Devices Branch (EDB) , which infests smart TVs , transforming them into covert microphones , is surely its most emblematic realization .' [/INST] [The:O, increasing:O, sophistication:O, of:O, surveillance:O, techniques:O, has:O, drawn:O, comparisons:O, with:O, George:O, Orwell's:O, 1984:O, ,:O, but:O, Weeping:B-Tool, Angel:I-Tool, ,:O, developed:O, by:O, the:O, CIA's:B-HackOrg, Embedded:O, Devices:O, Branch:O, (EDB):O, ,:O, which:O, infests:O, smart:B-Tool, TVs:I-Tool, ,:O, transforming:B-Features, them:O, into:O, covert:O, microphones:O, ,:O, is:O, surely:O, its:O, most:O, emblematic:O, realization:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 infestation , Weeping Angel places the target TV in a 'Fake-Off' mode , so that the owner falsely believes the TV is off when it is on .' [/INST] [After:O, infestation:O, ,:O, Weeping:B-HackOrg, Angel:I-HackOrg, places:O, the:O, target:O, TV:B-Purp, in:O, a:O, 'Fake-Off':O, mode:O, ,:O, so:O, that:O, the:O, owner:O, falsely:O, believes:O, the:O, TV:O, is:O, off:O, when:O, it:O, is:O, on:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 of October 2014 the CIA was also looking at infecting the vehicle control systems used by modern cars and trucks .' [/INST] [As:O, of:O, October:B-Time, 2014:I-Time, the:O, CIA:B-HackOrg, was:O, also:O, looking:O, at:O, infecting:O, the:O, vehicle:O, control:O, systems:O, used:O, by:O, modern:O, cars:O, and:O, trucks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 CIA's Mobile Devices Branch (MDB) developed numerous attacks to remotely hack and control popular smart phones .' [/INST] [The:O, CIA's:B-HackOrg, Mobile:O, Devices:O, Branch:O, (MDB):O, developed:O, numerous:O, attacks:O, to:O, remotely:O, hack:B-Purp, and:O, control:B-Purp, popular:O, smart:O, phones:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Despite iPhone's minority share (14.5%) of the global smart phone market in 2016 , a specialized unit in the CIA's Mobile Development Branch produces malware to infest , control and exfiltrate data from iPhones and other Apple products running iOS , such as iPads .' [/INST] [Despite:O, iPhone's:O, minority:O, share:O, (14.5%):O, of:O, the:O, global:O, smart:O, phone:O, market:O, in:O, 2016:B-Time, ,:O, a:O, specialized:O, unit:O, in:O, the:O, CIA's:B-HackOrg, Mobile:O, Development:O, Branch:O, produces:O, malware:O, to:O, infest:O, ,:O, control:O, and:O, exfiltrate:O, data:O, from:O, iPhones:B-Tool, and:O, other:O, Apple:B-Tool, products:O, running:O, iOS:B-Tool, ,:O, such:O, as:O, iPads: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 attack against Samsung smart TVs was developed in cooperation with the United Kingdom's MI5/BTSS .' [/INST] [The:O, attack:O, against:O, Samsung:B-Org, smart:I-Org, TVs:I-Org, was:O, developed:O, in:O, cooperation:O, with:O, the:O, United:B-Area, Kingdom's:I-Area, MI5/BTSS: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: 'CIA's arsenal includes numerous local and remote zero days developed by CIA or obtained from GCHQ , NSA , FBI or purchased from cyber arms contractors such as Baitshop .' [/INST] [CIA's:B-HackOrg, arsenal:O, includes:O, numerous:O, local:O, and:O, remote:O, zero:B-Way, days:I-Way, developed:O, by:O, CIA:O, or:O, obtained:O, from:O, GCHQ:B-Tool, ,:O, NSA:B-Tool, ,:O, FBI:O, or:O, purchased:O, from:O, cyber:B-Tool, arms:I-Tool, contractors:I-Tool, such:O, as:O, Baitshop:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 techniques permit the CIA to bypass the encryption of WhatsApp , Signal , Telegram , Wiebo , Confide and Cloackman by hacking the smart phones that they run on and collecting audio and message traffic before encryption is applied .' [/INST] [These:O, techniques:O, permit:O, the:O, CIA:B-HackOrg, to:O, bypass:O, the:O, encryption:O, of:O, WhatsApp:O, ,:O, Signal:O, ,:O, Telegram:O, ,:O, Wiebo:O, ,:O, Confide:O, and:O, Cloackman:O, by:O, hacking:O, the:O, smart:O, phones:O, that:O, they:O, run:O, on:O, and:O, collecting:B-Purp, audio:I-Purp, and:O, message:B-Purp, traffic:I-Purp, before:O, encryption:O, is:O, applied:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 CIA also runs a very substantial effort to infect and control Microsoft Windows users with its malware .' [/INST] [The:O, CIA:B-HackOrg, also:O, runs:O, a:O, very:O, substantial:O, effort:O, to:O, infect:O, and:O, control:B-Purp, Microsoft:I-Purp, Windows:I-Purp, users:O, with:O, its:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CIA's malware includes multiple local and remote weaponized zero days , air gap jumping viruses such as Hammer Drill which infects software distributed on CD/DVDs , infectors for removable media such as USBs , systems to hide data in images or in covert disk areas Brutal Kangaroo and to keep its malware infestations going .' [/INST] [CIA's:B-HackOrg, malware:O, includes:O, multiple:O, local:O, and:O, remote:O, weaponized:O, zero:B-Way, days:I-Way, ,:O, air:O, gap:O, jumping:O, viruses:O, such:O, as:O, Hammer:B-Tool, Drill:I-Tool, which:O, infects:O, software:O, distributed:O, on:O, CD/DVDs:O, ,:O, infectors:O, for:O, removable:O, media:O, such:O, as:O, USBs:O, ,:O, systems:O, to:O, hide:O, data:O, in:O, images:O, or:O, in:O, covert:O, disk:O, areas:O, Brutal:B-Tool, Kangaroo:I-Tool, and:O, to:O, keep:O, its:O, malware:O, infestations:O, going:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Many of these infection efforts are pulled together by the CIA's Automated Implant Branch (AIB) , which has developed several attack systems for automated infestation and control of CIA malware , such as Assassin and Medusa .' [/INST] [Many:O, of:O, these:O, infection:O, efforts:O, are:O, pulled:O, together:O, by:O, the:O, CIA's:B-HackOrg, Automated:O, Implant:O, Branch:O, (AIB):O, ,:O, which:O, has:O, developed:O, several:O, attack:O, systems:O, for:O, automated:O, infestation:O, and:O, control:O, of:O, CIA:O, malware:O, ,:O, such:O, as:O, Assassin:B-Tool, and:O, Medusa: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 CIA has developed automated multi-platform malware attack and control systems covering Windows , Mac OS X , Solaris , Linux and more , such as EDB's HIVE and the related Cutthroat and Swindle tools , which are described in the examples section below .' [/INST] [The:O, CIA:B-HackOrg, has:O, developed:O, automated:O, multi-platform:O, malware:O, attack:O, and:O, control:O, systems:O, covering:O, Windows:B-Tool, ,:O, Mac:B-Tool, OS:I-Tool, X:I-Tool, ,:O, Solaris:B-Tool, ,:O, Linux:B-Tool, and:O, more:O, ,:O, such:O, as:O, EDB's:O, HIVE:B-Tool, and:O, the:O, related:O, Cutthroat:B-Tool, and:O, Swindle:B-Tool, tools:O, ,:O, which:O, are:O, described:O, in:O, the:O, examples:O, section:O, below:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By hiding these security flaws from manufacturers like Apple and Google the CIA ensures that it can hack everyone &mdsh; at the expense of leaving everyone hackable .' [/INST] [By:O, hiding:O, these:O, security:O, flaws:O, from:O, manufacturers:O, like:O, Apple:B-Org, and:O, Google:B-Org, the:O, CIA:B-HackOrg, ensures:O, that:O, it:O, can:O, hack:O, everyone:O, &mdsh;:O, at:O, the:O, expense:O, of:O, leaving:O, everyone:O, hackable:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Frankfurt CIA hackers can travel without further border checks to the 25 European countries that are part of the Shengen open border area — including France , Italy and Switzerland .' [/INST] [Once:O, in:O, Frankfurt:B-Area, CIA:B-HackOrg, hackers:O, can:O, travel:O, without:O, further:O, border:O, checks:O, to:O, the:O, 25:O, European:B-Area, countries:I-Area, that:O, are:O, part:O, of:O, the:O, Shengen:O, open:O, border:O, area:O, —:O, including:O, France:B-Area, ,:O, Italy:B-Area, and:O, Switzerland:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A number of the CIA's electronic attack methods are designed for physical proximity .' [/INST] [A:O, number:O, of:O, the:O, CIA's:B-HackOrg, electronic:O, attack:O, methods:O, are:O, designed:O, for:O, physical:B-Way, proximity: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: 'The attacker is provided with a USB containing malware developed for the CIA for this purpose , which is inserted into the targeted computer .' [/INST] [The:O, attacker:B-HackOrg, is:O, provided:O, with:O, a:O, USB:B-Tool, containing:I-Tool, malware:I-Tool, developed:O, for:O, the:O, CIA:O, for:O, this:O, purpose:O, ,:O, which:O, is:O, inserted:O, into:O, the:O, targeted: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 attacker then infects and exfiltrates data to removable media .' [/INST] [The:O, attacker:B-HackOrg, then:O, infects:O, and:O, exfiltrates:O, data:O, to:O, removable:O, media:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As an example , specific CIA malware revealed in Year Zero is able to penetrate , infest and control both the Android phone and iPhone software that runs or has run presidential Twitter accounts .' [/INST] [As:O, an:O, example:O, ,:O, specific:O, CIA:B-HackOrg, malware:B-Tool, revealed:O, in:O, Year:O, Zero:O, is:O, able:O, to:O, penetrate:O, ,:O, infest:B-Purp, and:I-Purp, control:I-Purp, both:O, the:O, Android:O, phone:O, and:O, iPhone:O, software:O, that:O, runs:O, or:O, has:O, run:O, presidential:O, Twitter:O, accounts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 CIA attack system Fine Dining , provides 24 decoy applications for CIA spies to use .' [/INST] [For:O, example:O, ,:O, the:O, CIA:O, attack:O, system:O, Fine:O, Dining:O, ,:O, provides:O, 24:O, decoy:O, applications:O, for:O, CIA:O, spies:O, to:O, use:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , Comodo was defeated by CIA malware placing itself in the Window's Recycle Bin .' [/INST] [For:O, example:O, ,:O, Comodo:B-Org, was:O, defeated:O, by:O, CIA:B-HackOrg, malware:O, placing:O, itself:O, in:O, the:O, Window's:O, Recycle:O, Bin:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CIA hackers discussed what the NSA's Equation Group hackers did wrong and how the CIA's malware makers could avoid similar exposure .' [/INST] [CIA:B-SecTeam, hackers:O, discussed:O, what:O, the:O, NSA's:O, Equation:B-HackOrg, Group:I-HackOrg, hackers:O, did:O, wrong:O, and:O, how:O, the:O, CIA's:O, malware:O, makers:O, could:O, avoid:O, similar:O, exposure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The CIA's Remote Devices Branch's UMBRAGE group collects and maintains a substantial library of attack techniques 'stolen' from malware produced in other states including the Russian Federation .' [/INST] [The:O, CIA's:B-HackOrg, Remote:O, Devices:O, Branch's:O, UMBRAGE:B-HackOrg, group:O, collects:O, and:O, maintains:O, a:O, substantial:O, library:O, of:O, attack:O, techniques:O, 'stolen':O, from:O, malware:O, produced:O, in:O, other:O, states:O, including:O, the:O, Russian:B-Area, Federation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This information is used by the CIA's 'JQJIMPROVISE' software (see below) to configure a set of CIA malware suited to the specific needs of an operation .' [/INST] [This:O, information:O, is:O, used:O, by:O, the:O, CIA's:B-HackOrg, 'JQJIMPROVISE':B-Tool, software:O, (see:O, below):O, to:O, configure:O, a:O, set:O, of:O, CIA:O, malware:O, suited:O, to:O, the:O, specific:O, needs:O, of:O, an:O, operation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Its configuration utilities like Margarita allows the NOC (Network Operation Center) to customize tools based on requirements from 'Fine Dining' questionairies .' [/INST] [Its:O, configuration:O, utilities:O, like:O, Margarita:B-SamFile, allows:O, the:O, NOC:O, (Network:O, Operation:O, Center):O, to:O, customize:O, tools:O, based:O, on:O, requirements:B-Features, from:O, 'Fine:O, Dining':O, questionairies:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'HIVE is a multi-platform CIA malware suite and its associated control software .' [/INST] [HIVE:B-Tool, is:O, a:O, multi-platform:O, CIA:B-HackOrg, malware:O, suite:O, and:O, its:O, associated:O, control:O, software:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A series of standards lay out CIA malware infestation patterns which are likely to assist forensic crime scene investigators as well as Apple , Microsoft , Google , Samsung , Nokia , Blackberry , Siemens and anti-virus companies attribute and defend against attacks .' [/INST] [A:O, series:O, of:O, standards:O, lay:O, out:O, CIA:B-HackOrg, malware:O, infestation:O, patterns:O, which:O, are:O, likely:O, to:O, assist:O, forensic:O, crime:O, scene:O, investigators:O, as:O, well:O, as:O, Apple:B-Org, ,:O, Microsoft:B-Org, ,:O, Google:B-Org, ,:O, Samsung:B-Org, ,:O, Nokia:B-Org, ,:O, Blackberry:B-Org, ,:O, Siemens:B-Org, and:O, anti-virus:B-Org, companies:I-Org, attribute:O, and:O, defend:O, against:O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 April 2013 , Kaspersky Lab reported that a popular game was altered to include a backdoor in 2011 .' [/INST] [In:O, April:B-Time, 2013:I-Time, ,:O, Kaspersky:B-SecTeam, Lab:O, reported:O, that:O, a:O, popular:O, game:O, was:O, altered:O, to:O, include:O, a:O, backdoor:O, in:O, 2011:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Yet again , new supply-chain attacks recently caught the attention of ESET Researchers .' [/INST] [Yet:O, again:O, ,:O, new:O, supply-chain:B-OffAct, attacks:I-OffAct, recently:O, caught:O, the:O, attention:O, of:O, ESET:B-SecTeam, Researchers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Given that these attacks were mostly targeted against Asia and the gaming industry , it shouldn’t be surprising they are the work of the group described in Kaspersky’s Winnti – More than just a game” .' [/INST] [Given:O, that:O, these:O, attacks:B-OffAct, were:O, mostly:O, targeted:O, against:O, Asia:B-Area, and:O, the:O, gaming:B-Idus, industry:I-Idus, ,:O, it:O, shouldn’t:O, be:O, surprising:O, they:O, are:O, the:O, work:O, of:O, the:O, group:O, described:O, in:O, Kaspersky’s:B-SecTeam, Winnti:B-HackOrg, –:O, More:O, than:O, just:O, a:O, game”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 OSB functions as the interface between CIA operational staff and the relevant technical support staff .' [/INST] [The:O, OSB:B-Tool, functions:O, as:O, the:O, interface:O, between:O, CIA:B-HackOrg, operational:O, staff:O, and:O, the:O, relevant:O, technical:O, support:O, staff:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 sustained cyberespionage campaign targeting at least three companies in the United States and Europe was uncovered by Recorded Future and Rapid7 between November 2017 and September 2018 .' [/INST] [A:O, sustained:O, cyberespionage:O, campaign:B-OffAct, targeting:I-OffAct, at:O, least:O, three:O, companies:O, in:O, the:O, United:O, States:O, and:O, Europe:O, was:O, uncovered:O, by:O, Recorded:B-SecTeam, Future:I-SecTeam, and:O, Rapid7:B-SecTeam, between:O, November:B-Time, 2017:I-Time, and:O, September: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 Honeycomb toolserver receives exfiltrated information from the implant; an operator can also task the implant to execute jobs on the target computer , so the toolserver acts as a C2 (command and control) server for the implant .' [/INST] [The:O, Honeycomb:B-SamFile, toolserver:O, receives:O, exfiltrated:O, information:O, from:O, the:O, implant;:O, an:O, operator:O, can:O, also:O, task:O, the:O, implant:O, to:O, execute:O, jobs:O, on:O, the:O, target:O, computer:O, ,:O, so:O, the:O, toolserver:O, acts:B-Features, as:O, a:O, C2:O, (command:O, and:O, control):O, server:O, for:O, the:O, implant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 then enumerated access and conducted privilege escalation on the victim networks , utilizing DLL sideloading techniques documented in a US-CERT alert on APT10 to deliver malware .' [/INST] [The:O, attackers:O, then:O, enumerated:O, access:O, and:O, conducted:O, privilege:O, escalation:O, on:O, the:O, victim:O, networks:O, ,:O, utilizing:O, DLL:B-Way, sideloading:I-Way, techniques:O, documented:O, in:O, a:O, US-CERT:O, alert:O, on:O, APT10:B-HackOrg, to:O, deliver:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On the two other victim networks , the attackers deployed a unique version of the UPPERCUT (ANEL) backdoor , known to have only been used by APT10 .' [/INST] [On:O, the:O, two:O, other:O, victim:O, networks:O, ,:O, the:O, attackers:O, deployed:O, a:O, unique:O, version:O, of:O, the:O, UPPERCUT:B-Tool, (ANEL):O, backdoor:O, ,:O, known:O, to:O, have:O, only:O, been:O, used:O, by:O, APT10:B-HackOrg, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT10 actors then compressed proprietary data from Visma using WinRAR (deployed by the attackers) and exfiltrated to a Dropbox account using the cURL for Windows command-line tool .' [/INST] [APT10:B-HackOrg, actors:O, then:O, compressed:O, proprietary:O, data:O, from:O, Visma:O, using:O, WinRAR:B-Tool, (deployed:O, by:O, the:O, attackers):O, and:O, exfiltrated:O, to:O, a:O, Dropbox:O, account:O, using:O, the:O, cURL:B-Tool, for:O, Windows:O, command-line: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: 'UMBRAGE components cover keyloggers , password collection , webcam capture , data destruction , persistence , privilege escalation , stealth , anti-virus (PSP) avoidance and survey techniques .' [/INST] [UMBRAGE:B-SamFile, components:O, cover:B-Features, keyloggers:I-Features, ,:O, password:B-Features, collection:I-Features, ,:O, webcam:B-Features, capture:I-Features, ,:O, data:B-Features, destruction:I-Features, ,:O, persistence:B-Features, ,:O, privilege:B-Features, escalation:I-Features, ,:O, stealth:B-Features, ,:O, anti-virus:O, (PSP):O, avoidance:O, and:O, survey:B-Features, 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: 'we assess with high confidence that these incidents were conducted by APT10 also known as Stone Panda , menuPass , CVNX in an effort to gain access to networks and steal valuable intellectual property or gain commercial advantage .' [/INST] [we:O, assess:O, with:O, high:O, confidence:O, that:O, these:O, incidents:O, were:O, conducted:O, by:O, APT10:B-HackOrg, also:O, known:O, as:O, Stone:B-HackOrg, Panda:I-HackOrg, ,:O, menuPass:B-HackOrg, ,:O, CVNX:B-HackOrg, in:O, an:O, effort:O, to:O, gain:B-Purp, access:I-Purp, to:O, networks:O, and:O, steal:B-Purp, valuable:I-Purp, intellectual:O, property:O, or:O, gain:B-Purp, commercial:I-Purp, advantage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On top of the breadth , volume , and targets of attacks that APT10 has conducted since at least 2016 , we now know that these operations are being run by the Chinese intelligence agency , the Ministry of State Security (MSS) .' [/INST] [On:O, top:O, of:O, the:O, breadth:O, ,:O, volume:O, ,:O, and:O, targets:O, of:O, attacks:O, that:O, APT10:B-HackOrg, has:O, conducted:O, since:O, at:O, least:O, 2016:B-Time, ,:O, we:O, now:O, know:O, that:O, these:O, operations:O, are:O, being:O, run:O, by:O, the:O, Chinese:B-Area, intelligence:I-Area, agency:I-Area, ,:O, the:O, Ministry:O, of:O, State:O, Security:O, (MSS):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Utilizing actors working for shell companies such as Huaying Haitai Science and Technology Development Co Ltd , the MSS has conducted an unprecedented campaign , dubbed Operation Cloud Hopper , ” against managed IT service providers (MSPs) designed to steal intellectual property and enable secondary attacks against their clients .' [/INST] [Utilizing:O, actors:O, working:O, for:O, shell:O, companies:O, such:O, as:O, Huaying:O, Haitai:O, Science:O, and:O, Technology:O, Development:O, Co:O, Ltd:O, ,:O, the:O, MSS:B-HackOrg, has:O, conducted:O, an:O, unprecedented:O, campaign:O, ,:O, dubbed:O, Operation:O, Cloud:O, Hopper:O, ,:O, ”:O, against:O, managed:O, IT:O, service:O, providers:O, (MSPs):O, designed:O, to:O, steal:B-Purp, intellectual:I-Purp, property:I-Purp, and:O, enable:O, secondary:O, attacks:O, against:O, their:O, clients:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We assess that APT10 likely compromised Visma with the primary goal of enabling secondary intrusions onto their client networks , and not of stealing Visma intellectual property .' [/INST] [We:O, assess:O, that:O, APT10:B-HackOrg, likely:O, compromised:O, Visma:O, with:O, the:O, primary:O, goal:O, of:O, enabling:B-Purp, secondary:I-Purp, intrusions:I-Purp, onto:O, their:O, client:O, networks:O, ,:O, and:O, not:O, of:O, stealing:O, Visma:O, intellectual:O, property:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this same time frame , APT10 also targeted a U.S. law firm and an international apparel company , likely to gather information for commercial advantage .' [/INST] [In:O, this:O, same:O, time:O, frame:O, ,:O, APT10:B-HackOrg, also:O, targeted:O, a:O, U.S.:B-Idus, law:I-Idus, firm:I-Idus, and:O, an:O, international:O, apparel:B-Idus, company:I-Idus, ,:O, likely:O, to:O, gather:B-Purp, information:I-Purp, for:O, commercial:O, advantage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The backdoor was deployed using the Notepad++ updater and sideloading malicious DLL , as noted in APT10’s targeting of Japanese corporations in July 2018 .' [/INST] [The:O, backdoor:O, was:O, deployed:O, using:O, the:O, Notepad++:O, updater:O, and:O, sideloading:O, malicious:O, DLL:O, ,:O, as:O, noted:O, in:O, APT10’s:B-HackOrg, targeting:O, of:O, Japanese:B-Idus, corporations:I-Idus, in:O, July:B-Time, 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: 'That attack was attributed to perpetrators Kaspersky called the Winnti Group .' [/INST] [That:O, attack:O, was:O, attributed:O, to:O, perpetrators:O, Kaspersky:B-SecTeam, called:O, the:O, Winnti: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: 'APT10 is a threat actor that has been active since at least 2009 .' [/INST] [APT10:B-HackOrg, is:O, a:O, threat:O, actor:O, that:O, has:O, been:O, active:O, since:O, at:O, least:O, 2009: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: 'APT10 has historically targeted healthcare , defense , aerospace , government , heavy industry and mining , and MSPs and IT services , as well as other sectors , for probable intellectual property theft .' [/INST] [APT10:B-HackOrg, has:O, historically:O, targeted:O, healthcare:B-Idus, ,:O, defense:B-Idus, ,:O, aerospace:B-Idus, ,:O, government:B-Idus, ,:O, heavy:B-Idus, industry:I-Idus, and:O, mining:B-Idus, ,:O, and:O, MSPs:B-Idus, and:O, IT:B-Idus, services:I-Idus, ,:O, as:O, well:O, as:O, other:O, sectors:B-Idus, ,:O, for:O, probable:O, intellectual:O, property: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: 'We believe APT10 is the most significant Chinese state-sponsored cyber threat to global corporations known to date .' [/INST] [We:O, believe:O, APT10:B-HackOrg, is:O, the:O, most:O, significant:O, Chinese:B-Area, state-sponsored:I-Area, cyber:O, threat:O, to:O, global:O, corporations:O, known:O, to:O, date:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the blog , Intrusion Truth identified APT10 as having utilized several Tianjin-based companies , including Huaying Haitai Science and Technology Development Co Ltd and Laoying Baichen Instruments Equipment Co Ltd .' [/INST] [In:O, the:O, blog:O, ,:O, Intrusion:O, Truth:O, identified:O, APT10:B-HackOrg, as:O, having:O, utilized:O, several:O, Tianjin-based:B-Idus, companies:I-Idus, ,:O, including:O, Huaying:B-Idus, Haitai:I-Idus, Science:I-Idus, and:O, Technology:O, Development:O, Co:O, Ltd:O, and:O, Laoying:O, Baichen:O, Instruments:O, Equipment:O, Co:O, Ltd:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 technical data uncovered , and in light of recent disclosures by the U.S. Department of Justice on the ongoing activities of Chinese state-sponsored threat actors .' [/INST] [Based:O, on:O, the:O, technical:O, data:O, uncovered:O, ,:O, and:O, in:O, light:O, of:O, recent:O, disclosures:O, by:O, the:O, U.S.:B-Area, Department:B-Area, of:O, Justice:O, on:O, the:O, ongoing:O, activities:O, of:O, Chinese:B-HackOrg, state-sponsored:I-HackOrg, 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: 'Our research from 2017 concluded that Guangdong ITSEC (and therefore the MSS) directed the activities of a company named Boyusec , which was identified as a shell company for APT3 .' [/INST] [Our:O, research:O, from:O, 2017:B-Time, concluded:O, that:O, Guangdong:B-HackOrg, ITSEC:I-HackOrg, (and:O, therefore:O, the:O, MSS):O, directed:O, the:O, activities:O, of:O, a:O, company:O, named:O, Boyusec:B-Org, ,:O, which:O, was:O, identified:O, as:O, a:O, shell:O, company:O, for:O, APT3: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: 'Access to the networks of these third-party service providers grants the MSS the ability to potentially access the networks of hundreds , if not thousands , of corporations around the world .' [/INST] [Access:O, to:O, the:O, networks:O, of:O, these:O, third-party:O, service:O, providers:O, grants:O, the:O, MSS:B-HackOrg, the:O, ability:O, to:O, potentially:O, access:B-Purp, the:I-Purp, networks:I-Purp, of:O, hundreds:O, ,:O, if:O, not:O, thousands:O, ,:O, of:O, corporations:O, around:O, the:O, world:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The December APT10 indictment noted that the group’s malicious activities breached at least 45 companies and managed service providers in 12 countries , including Brazil , Canada , Finland , France , Germany , India , Japan , Sweden , Switzerland , the United Arab Emirates , the United Kingdom , and the United States .' [/INST] [The:O, December:O, APT10:B-HackOrg, indictment:O, noted:O, that:O, the:O, group’s:O, malicious:O, activities:O, breached:O, at:O, least:O, 45:O, companies:O, and:O, managed:O, service:O, providers:O, in:O, 12:O, countries:O, ,:O, including:O, Brazil:B-Area, ,:O, Canada:B-Area, ,:O, Finland:B-Area, ,:O, France:B-Area, ,:O, Germany:B-Area, ,:O, India:B-Area, ,:O, Japan:B-Area, ,:O, Sweden:B-Area, ,:O, Switzerland:O, ,:O, the:O, United:B-Area, Arab:I-Area, Emirates:I-Area, ,:O, the:B-Area, United:I-Area, Kingdom:I-Area, ,:O, and:O, the:B-Area, United:I-Area, States:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In all three incidents , APT10 gained access to networks through deployments of Citrix and LogMeIn remote-access software using stolen valid user credentials .' [/INST] [In:O, all:O, three:O, incidents:O, ,:O, APT10:B-HackOrg, gained:O, access:O, to:O, networks:O, through:O, deployments:O, of:O, Citrix:B-Tool, and:O, LogMeIn:B-Tool, remote-access:O, software:O, using:O, stolen:O, valid:O, user: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: 'In all three incidents , the attackers gained access to networks through deployments of Citrix and LogMeIn remote-access software using stolen valid user credentials .' [/INST] [In:O, all:O, three:O, incidents:O, ,:O, the:O, attackers:B-HackOrg, gained:O, access:B-Purp, to:I-Purp, networks:I-Purp, through:O, deployments:O, of:O, Citrix:O, and:O, LogMeIn:O, remote-access:O, software:O, using:O, stolen:B-Way, valid:O, user: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: 'In all three incidents , APT10 actors used previously acquired legitimate credentials , possibly gained via a third-party supply chain compromise in order to gain initial access to the law firm and the apparel company .' [/INST] [In:O, all:O, three:O, incidents:O, ,:O, APT10:B-HackOrg, actors:O, used:B-Way, previously:O, acquired:O, legitimate:O, credentials:O, ,:O, possibly:O, gained:O, via:O, a:O, third-party:O, supply:O, chain:O, compromise:O, in:O, order:O, to:O, gain:O, initial:O, access:O, to:O, the:O, law:B-Idus, firm:I-Idus, and:O, the:O, apparel:B-Idus, company: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: 'In early 2017 , APT10 began conducting attacks against global managed IT service providers (MSPs) that granted them unprecedented access to MSPs and their customers’ networks .' [/INST] [In:O, early:O, 2017:B-Time, ,:O, APT10:B-HackOrg, began:O, conducting:O, attacks:O, against:O, global:O, managed:O, IT:B-Idus, service:I-Idus, providers:O, (MSPs):B-Org, that:O, granted:O, them:O, unprecedented:O, access:O, to:O, MSPs:O, and:O, their:O, customers’:B-Purp, networks: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: ''Improvise' is a toolset for configuration , post-processing , payload setup and execution vector selection for survey/exfiltration tools supporting all major operating systems like Windows (Bartender) , MacOS (JukeBox) and Linux (DanceFloor) .' [/INST] ['Improvise':B-SamFile, is:O, a:O, toolset:O, for:O, configuration:B-Features, ,:O, post-processing:B-Features, ,:O, payload:B-Features, setup:I-Features, and:O, execution:B-Features, vector:I-Features, selection:O, for:O, survey/exfiltration:O, tools:O, supporting:O, all:O, major:O, operating:O, systems:O, like:O, Windows:B-Way, (Bartender):O, ,:O, MacOS:B-Way, (JukeBox):O, and:O, Linux:B-Way, (DanceFloor):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During this operation (dubbed ‘Cloud Hopper” because of the group’s use of popular western cloud-based services) , APT10 utilized both new malware (Quasar RAT , Trochilus , RedLeaves , ChChes as well as some familiar old tools .' [/INST] [During:O, this:O, operation:O, (dubbed:O, ‘Cloud:O, Hopper”:O, because:O, of:O, the:O, group’s:O, use:O, of:O, popular:O, western:O, cloud-based:O, services):O, ,:O, APT10:B-HackOrg, utilized:O, both:O, new:O, malware:O, (Quasar:B-Tool, RAT:I-Tool, ,:O, Trochilus:B-Tool, ,:O, RedLeaves:B-Tool, ,:O, ChChes:B-Tool, as:O, well:O, as:O, some:O, familiar:O, old: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: 'Most recently , on December 20 , 2018 , the U.S. Department of Justice charged two hackers associated with the Chinese Ministry of State Security (MSS) with global computer intrusion campaigns targeting intellectual property .' [/INST] [Most:O, recently:O, ,:O, on:O, December:B-Time, 20:I-Time, ,:O, 2018:O, ,:O, the:O, U.S.:B-SecTeam, Department:I-SecTeam, of:O, Justice:O, charged:O, two:O, hackers:B-HackOrg, associated:O, with:O, the:O, Chinese:O, Ministry:O, of:O, State:O, Security:O, (MSS):B-Area, with:O, global:O, computer:O, intrusion:O, campaigns:O, targeting:O, intellectual:O, property:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 indictment attributed the intrusions to APT10 , a group that had been conducting the malicious activities for over a decade on behalf of the MSS , China’s civilian human intelligence agency .' [/INST] [This:O, indictment:O, attributed:O, the:O, intrusions:O, to:O, APT10:B-HackOrg, ,:O, a:O, group:O, that:O, had:O, been:O, conducting:O, the:O, malicious:O, activities:O, for:O, over:O, a:O, decade:O, on:O, behalf:O, of:O, the:O, MSS:O, ,:O, China’s:B-Area, civilian:O, human:O, intelligence:O, agency:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Visma group operates across the entire Nordic region along with Benelux , Central , and Eastern Europe .' [/INST] [The:O, Visma:B-HackOrg, group:O, operates:O, across:O, the:O, entire:O, Nordic:O, region:O, along:O, with:O, Benelux:B-Area, ,:O, Central:B-Area, ,:O, and:O, Eastern:B-Area, Europe: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: 'Recorded Future has actively tracked APT10 for several years , focusing specifically on the group’s targeting of MSPs and global internet infrastructure providers since the Operation Cloud Hopper report in 2017 .' [/INST] [Recorded:B-SecTeam, Future:I-SecTeam, has:O, actively:O, tracked:O, APT10:B-HackOrg, for:O, several:O, years:O, ,:O, focusing:O, specifically:O, on:O, the:O, group’s:O, targeting:O, of:O, MSPs:O, and:O, global:O, internet:O, infrastructure:O, providers:O, since:O, the:O, Operation:O, Cloud:O, Hopper:O, report:O, in:O, 2017:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 were particularly interested in identifying whether any customers of the targeted MSPs were subsequently compromised by APT10 , given their potential access through compromised MSP networks .' [/INST] [We:O, were:O, particularly:O, interested:O, in:O, identifying:O, whether:O, any:O, customers:O, of:O, the:O, targeted:O, MSPs:O, were:O, subsequently:O, compromised:O, by:O, APT10:B-HackOrg, ,:O, given:O, their:O, potential:O, access:O, through:O, compromised:O, MSP:B-Org, 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: 'Recorded Future’s Insikt Group has actively tracked APT10 for several years , focusing specifically on the group’s targeting of MSPs and global internet infrastructure providers since the Operation Cloud Hopper report in 2017 .' [/INST] [Recorded:B-SecTeam, Future’s:I-SecTeam, Insikt:O, Group:O, has:O, actively:O, tracked:O, APT10:O, for:O, several:O, years:O, ,:O, focusing:O, specifically:O, on:O, the:O, group’s:O, targeting:O, of:O, MSPs:B-Idus, and:O, global:O, internet:O, infrastructure:B-Idus, providers:I-Idus, since:O, the:O, Operation:O, Cloud:O, Hopper:O, report: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: 'In September 2018 , one of our clients (and a supplier as well) , Visma , reached out to us for assistance in investigating an incident uncovered on their network following a breach notification by Rapid7 .' [/INST] [In:O, September:B-Time, 2018:I-Time, ,:O, one:O, of:O, our:O, clients:O, (and:O, a:O, supplier:O, as:O, well):O, ,:O, Visma:O, ,:O, reached:O, out:O, to:O, us:O, for:O, assistance:O, in:O, investigating:O, an:O, incident:O, uncovered:O, on:O, their:O, network:O, following:O, a:O, breach:O, notification:O, by:O, Rapid7: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: 'This was followed by an initial exploitation , network enumeration , and malicious tool deployment on various Visma endpoints within two weeks of initial access .' [/INST] [This:O, was:O, followed:O, by:O, an:O, initial:B-Purp, exploitation:I-Purp, ,:O, network:B-Purp, enumeration:I-Purp, ,:O, and:O, malicious:B-Purp, tool:I-Purp, deployment:O, on:O, various:O, Visma:B-Tool, endpoints:I-Tool, within:O, two:O, weeks:O, of:O, initial:O, access:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On August 30 , 2018 , APT10 deployed their first modified version of Trochilus that had its C2 communications encrypted using Salsa20 and RC4 ciphers instead of the more common RC4-encrypted Trochilus variant seen in the wild .' [/INST] [On:O, August:B-Time, 30:I-Time, ,:O, 2018:O, ,:O, APT10:B-HackOrg, deployed:O, their:O, first:O, modified:O, version:O, of:O, Trochilus:B-Tool, that:O, had:O, its:O, C2:O, communications:O, encrypted:O, using:O, Salsa20:O, and:O, RC4:O, ciphers:O, instead:O, of:O, the:O, more:O, common:O, RC4-encrypted:O, Trochilus:O, variant:O, seen:O, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 sample , similar to other Trochilus samples , was deployed using a DLL sideloading method utilizing three files , uploaded to the same folder on the victim machine as identified in US-CERT advisory TA17-117A last revised on December 20 , 2018 .' [/INST] [This:O, sample:B-SamFile, ,:O, similar:O, to:O, other:O, Trochilus:B-SamFile, samples:O, ,:O, was:O, deployed:O, using:O, a:O, DLL:B-Features, sideloading:I-Features, method:O, utilizing:O, three:O, files:O, ,:O, uploaded:B-Features, to:O, the:O, same:O, folder:O, on:O, the:O, victim:O, machine:O, as:O, identified:O, in:O, US-CERT:O, advisory:O, TA17-117A:O, last:O, revised:O, on:O, December:O, 20:O, ,:O, 2018:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 configuration file then loads the Trochilus payload into memory by injecting it into a valid system process .' [/INST] [The:O, configuration:B-SamFile, file:I-SamFile, then:O, loads:O, the:O, Trochilus:O, payload:O, into:O, memory:O, by:O, injecting:B-Features, it:O, into:O, a:O, valid:O, system: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: 'APT10 also used WinRAR and cURL for Windows , both often renamed , to compress and upload the exfiltrated files from the Visma network to the Dropbox API .' [/INST] [APT10:B-HackOrg, also:O, used:O, WinRAR:B-Tool, and:O, cURL:B-Tool, for:O, Windows:O, ,:O, both:O, often:O, renamed:O, ,:O, to:O, compress:O, and:O, upload:O, the:O, exfiltrated:O, files:O, from:O, the:O, Visma:O, network:O, to:O, the:O, Dropbox:O, API:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In order to exfiltrate the compromised data , APT10 employed custom malware that used Dropbox as its C2 .' [/INST] [In:O, order:O, to:O, exfiltrate:O, the:O, compromised:O, data:O, ,:O, APT10:B-HackOrg, employed:O, custom:O, malware:O, that:O, used:O, Dropbox:B-Tool, as:O, its:O, C2:O, .:O] </s> |
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