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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: 'PLATINUM 's persistent use of spear phishing tactics ( phishing attempts aimed at specific individuals ) and access to previously undiscovered zero-day exploits have made it a highly resilient threat .' [/INST] [PLATINUM:B-HackOrg, 's:O, persistent:O, use:O, of:O, spear:B-Way, phishing:I-Way, tactics:I-Way, (:O, phishing:B-Way, attempts:O, aimed:O, at:O, specific:O, individuals:O, ):O, and:O, access:O, to:O, previously:O, undiscovered:O, zero-day:B-Exp, exploits:I-Exp, have:O, made:O, it:O, a:O, highly:O, resilient:O, threat:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 persistent use of spear phishing tactics ( phishing attempts aimed at specific individuals ) and access to previously undiscovered zero-day exploits have made it a highly resilient threat .' [/INST] [The:O, group:B-HackOrg, 's:O, persistent:O, use:O, of:O, spear:B-Way, phishing:I-Way, tactics:I-Way, (:O, phishing:B-Way, attempts:O, aimed:O, at:O, specific:O, individuals:O, ):O, and:O, access:O, to:O, previously:O, undiscovered:O, zero-day:B-Exp, exploits:I-Exp, have:O, made:O, it:O, a:O, highly:O, resilient:O, threat:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Carbanak campaign is a clear indicator of a new era in cybercrime in which criminals use APT techniques directly against the financial industry instead of through its customers .' [/INST] [We:O, believe:O, that:O, the:O, Carbanak:B-Exp, campaign:B-OffAct, is:O, a:O, clear:O, indicator:O, of:O, a:O, new:O, era:O, in:O, cybercrime:O, in:O, which:O, criminals:B-HackOrg, use:O, APT:B-Way, techniques:I-Way, directly:O, against:O, the:O, financial:B-Idus, industry:I-Idus, instead:O, of:O, through:O, its: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: 'Should a user enable this content , Gallmaker is then able to use the DDE protocol to remotely execute commands in memory on the victima 's system .' [/INST] [Should:O, a:O, user:O, enable:O, this:O, content:O, ,:O, Gallmaker:B-HackOrg, is:O, then:O, able:O, to:O, use:O, the:O, DDE:B-Tool, protocol:I-Tool, to:O, remotely:B-Way, execute:I-Way, commands:I-Way, in:O, memory:O, on:O, the:O, victima:O, 's: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: 'These socially engineered emails contain web links of weaponized documents containing exploits or macros .' [/INST] [These:O, socially:B-Way, engineered:I-Way, emails:I-Way, contain:O, web:O, links:O, of:O, weaponized:O, documents:O, containing:O, exploits:O, or:O, macros:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It contains an additional meta tag at the end of the web page source code , , refreshing , ( redirecting ) the site visitor to the weaponized document .' [/INST] [It:O, contains:O, an:O, additional:B-Way, meta:I-Way, tag:I-Way, at:O, the:O, end:O, of:O, the:O, web:O, page:O, source:O, code:O, ,:O, ,:O, refreshing:O, ,:O, (:O, redirecting:O, ):O, the:O, site:O, visitor:O, to:O, the:O, weaponized:O, document:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Volexity has also found that , in addition to sending malware lures , the Patchwork threat actors are leveraging unique tracking links in their e-mails for the purpose of identifying which recipients opened their e-mail messages .' [/INST] [Volexity:B-SecTeam, has:O, also:O, found:O, that:O, ,:O, in:O, addition:O, to:O, sending:O, malware:B-Way, lures:I-Way, ,:O, the:O, Patchwork:B-HackOrg, threat:I-HackOrg, actors:I-HackOrg, are:O, leveraging:O, unique:O, tracking:O, links:O, in:O, their:O, e-mails:B-Way, for:O, the:O, purpose:O, of:O, identifying:O, which:O, recipients:O, opened:O, their:O, e-mail:B-Way, messages:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'At this point , the attackers know the user has opened the document and send another spear-phishing email , this time containing an MS Word document with an embedded executable .' [/INST] [At:O, this:O, point:O, ,:O, the:O, attackers:B-HackOrg, know:O, the:O, user:O, has:O, opened:O, the:O, document:O, and:O, send:O, another:O, spear-phishing:B-Way, email:I-Way, ,:O, this:O, time:O, containing:O, an:O, MS:B-SamFile, Word:I-SamFile, document:I-SamFile, with:O, an:O, embedded:O, executable:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 majority of the code for TINYTYPHON is taken from the MyDoom worm and has been repurposed to find and exfiltrate documents .' [/INST] [The:O, majority:O, of:O, the:O, code:O, for:O, TINYTYPHON:O, is:O, taken:O, from:O, the:O, MyDoom:B-Tool, worm:I-Tool, and:O, has:O, been:O, repurposed:O, to:O, find:B-Way, and:I-Way, exfiltrate:I-Way, documents: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: 'Pitty Tiger group is sometimes using stolen material as spear phishing content to target other persons .' [/INST] [Pitty:B-HackOrg, Tiger:I-HackOrg, group:I-HackOrg, is:O, sometimes:O, using:O, stolen:O, material:O, as:O, spear:B-Way, phishing:I-Way, content:O, to:O, target:O, other:O, persons:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Pitty Tiger group mostly uses spear phishing in order to gain an initial foothold within the targeted environment .' [/INST] [The:O, Pitty:B-HackOrg, Tiger:I-HackOrg, group:I-HackOrg, mostly:O, uses:O, spear:B-Way, phishing:I-Way, in:O, order:O, to:O, gain:B-Purp, an:I-Purp, initial:I-Purp, foothold:I-Purp, within:O, the:O, targeted: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: 'PittyTiger leverages social engineering to deliver spearphishing emails , in a variety of languages including English , French and Chinese , and email phishing pages to their targets .' [/INST] [PittyTiger:B-HackOrg, leverages:O, social:B-Idus, engineering:I-Idus, to:O, deliver:O, spearphishing:B-Way, emails:I-Way, ,:O, in:O, a:O, variety:O, of:O, languages:O, including:O, English:O, ,:O, French:O, and:O, Chinese:B-Area, ,:O, and:O, email:B-Way, phishing:I-Way, pages:I-Way, to:O, their: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: 'PLATINUM 's persistent use of spear phishing tactics ( phishing attempts aimed at specific individuals ) and access to previously undiscovered zero-day exploits have made it a highly resilient threat .' [/INST] [PLATINUM:B-HackOrg, 's:O, persistent:O, use:O, of:O, spear:B-Way, phishing:I-Way, tactics:I-Way, (:O, phishing:B-Way, attempts:O, aimed:O, at:O, specific:B-Org, individuals:I-Org, ):O, and:O, access:O, to:O, previously:O, undiscovered:O, zero-day:B-Exp, exploits:I-Exp, have:O, made:O, it:O, a:O, highly:O, resilient:O, threat:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 persistent use of spear phishing tactics ( phishing attempts aimed at specific individuals ) and access to previously undiscovered zero-day exploits have made it a highly resilient threat .' [/INST] [The:O, group:B-HackOrg, 's:O, persistent:O, use:O, of:O, spear:B-Way, phishing:I-Way, tactics:I-Way, (:O, phishing:B-Way, attempts:O, aimed:O, at:O, specific:B-Org, individuals:I-Org, ):O, and:O, access:O, to:O, previously:O, undiscovered:O, zero-day:B-Exp, exploits:I-Exp, have:O, made:O, it:O, a:O, highly:O, resilient:O, threat:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PLATINUM often spear phishes its targets at their non-official or private email accounts , to use as a stepping stone into the intended organization 's network .' [/INST] [PLATINUM:B-HackOrg, often:O, spear:B-Way, phishes:I-Way, its:O, targets:O, at:O, their:O, non-official:O, or:O, private:O, email:O, accounts:O, ,:O, to:O, use:O, as:O, a:O, stepping:O, stone:O, into:O, the:O, intended:O, organization:O, 's:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PLATINUM primarily targets its intended victims using spear phishing .' [/INST] [PLATINUM:B-HackOrg, primarily:O, targets:O, its:O, intended:O, victims:O, using:O, spear:B-Way, phishing: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: 'In August 2015 , the admin@338 sent spear phishing emails to a number of Hong Kong-based media organizations , including newspapers , radio , and television .' [/INST] [In:O, August:B-Time, 2015:I-Time, ,:O, the:O, admin@338:B-HackOrg, sent:O, spear:B-Way, phishing:I-Way, emails:I-Way, to:O, a:O, number:O, of:O, Hong:O, Kong-based:O, media:B-Org, organizations:I-Org, ,:O, including:O, newspapers:O, ,:O, radio:O, ,:O, and:O, television:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In August 2015 , the threat actors sent spear phishing emails to a number of Hong Kong-based media organizations , including newspapers , radio , and television .' [/INST] [In:O, August:B-Time, 2015:I-Time, ,:O, the:O, threat:B-HackOrg, actors:I-HackOrg, sent:O, spear:B-Way, phishing:I-Way, emails:I-Way, to:O, a:O, number:O, of:O, Hong:O, Kong-based:O, media:B-Org, organizations:I-Org, ,:O, including:O, newspapers:O, ,:O, radio:O, ,:O, and:O, television:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In August 2015 , the admin@338 sent spear phishing emails to a number of Hong Kong-based media organizations .' [/INST] [In:O, August:B-Time, 2015:I-Time, ,:O, the:O, admin@338:B-HackOrg, sent:O, spear:B-Way, phishing:I-Way, emails:I-Way, to:O, a:O, number:O, of:O, Hong:O, Kong-based:O, media:B-Org, organizations:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The admin@338 previous activities against financial and policy organizations have largely focused on spear phishing emails written in English , destined for Western audiences .' [/INST] [The:O, admin@338:B-HackOrg, previous:O, activities:B-OffAct, against:O, financial:B-Idus, and:O, policy:B-Org, organizations:I-Org, have:O, largely:O, focused:O, on:O, spear:B-Way, phishing:I-Way, emails:I-Way, written:O, in:O, English:O, ,:O, destined:O, for:O, Western:B-Area, audiences: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: 'When the document was opened in Word , PLATINUM exploited a previously unknown vulnerability in the Microsoft Office PostScript interpreter ( designated CVE-2015-2545 ) that enabled it to execute the attacker 's code and drop an attacker-generated malicious DLL onto the computer .' [/INST] [When:O, the:O, document:O, was:O, opened:O, in:O, Word:B-Tool, ,:O, PLATINUM:B-HackOrg, exploited:O, a:O, previously:O, unknown:O, vulnerability:O, in:O, the:O, Microsoft:O, Office:O, PostScript:O, interpreter:O, (:O, designated:O, CVE-2015-2545:B-Exp, ):O, that:O, enabled:O, it:O, to:O, execute:O, the:O, attacker:B-HackOrg, 's:O, code:O, and:O, drop:O, an:O, attacker-generated:O, malicious:B-Way, DLL:I-Way, onto: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: 'n one case from 2013 , the target was sent a malicious document through a spear phishing email message .' [/INST] [n:O, one:O, case:O, from:O, 2013:B-Time, ,:O, the:O, target:O, was:O, sent:O, a:O, malicious:B-SamFile, document:I-SamFile, through:O, a:O, spear:B-Way, phishing:I-Way, email:I-Way, message: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: 'According to FireEye , the admin@338 sent out emails containing malicious documents designed to exploit Microsoft Office vulnerabilities in an effort to deliver a piece of malware dubbed LOWBALL .' [/INST] [According:O, to:O, FireEye:B-SecTeam, ,:O, the:O, admin@338:B-HackOrg, sent:O, out:O, emails:B-Way, containing:O, malicious:O, documents:O, designed:O, to:O, exploit:O, Microsoft:B-Exp, Office:I-Exp, vulnerabilities:I-Exp, in:O, an:O, effort:O, to:O, deliver:O, a:O, piece:O, of:O, malware:O, dubbed:O, LOWBALL: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: 'According to FireEye , the attackers sent out emails containing malicious documents designed to exploit Microsoft Office vulnerabilities in an effort to deliver a piece of malware dubbed LOWBALL .' [/INST] [According:O, to:O, FireEye:B-SecTeam, ,:O, the:O, attackers:B-HackOrg, sent:O, out:O, emails:B-Way, containing:O, malicious:O, documents:O, designed:O, to:O, exploit:O, Microsoft:B-Exp, Office:I-Exp, vulnerabilities:I-Exp, in:O, an:O, effort:O, to:O, deliver:O, a:O, piece:O, of:O, malware:O, dubbed:O, LOWBALL: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: 'This week the experts at FireEye discovered that a group of Chinese-based hackers called admin@338 had sent multiple MH370-themed spear phishing emails , the attackers targeted government officials in Asia-Pacific , it is likely for cyber espionage purpose .' [/INST] [This:O, week:O, the:O, experts:O, at:O, FireEye:B-SecTeam, discovered:O, that:O, a:O, group:B-HackOrg, of:O, Chinese-based:B-Area, hackers:B-HackOrg, called:O, admin@338:B-HackOrg, had:O, sent:O, multiple:O, MH370-themed:O, spear:B-Way, phishing:I-Way, emails:I-Way, ,:O, the:O, attackers:B-HackOrg, targeted:O, government:B-Org, officials:I-Org, in:O, Asia-Pacific:B-Area, ,:O, it:O, is:O, likely:O, for:O, cyber:B-HackOrg, espionage:I-HackOrg, purpose:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 previous activities against financial and policy organizations have largely focused on spear phishing emails written in English , destined for Western audiences .' [/INST] [The:O, group:B-HackOrg, previous:O, activities:B-OffAct, against:O, financial:B-Idus, and:O, policy:B-Org, organizations:I-Org, have:O, largely:O, focused:O, on:O, spear:B-Way, phishing:I-Way, emails:I-Way, written:O, in:O, English:O, ,:O, destined:O, for:O, Western:B-Area, audiences: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: 'On November 26 , 2015 , a suspected China-based APT16 sent Japanese defense policy-themed spear phishing emails to multiple Japanese financial and high-tech companies .' [/INST] [On:O, November:B-Time, 26:I-Time, ,:I-Time, 2015:I-Time, ,:O, a:O, suspected:O, China-based:B-Area, APT16:B-HackOrg, sent:O, Japanese:B-Area, defense:O, policy-themed:O, spear:B-Way, phishing:I-Way, emails:I-Way, to:O, multiple:O, Japanese:B-Area, financial:B-Org, and:O, high-tech:B-Org, companies: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: 'On November 26 , 2015 , a suspected China-based APT group sent Japanese defense policy-themed spear phishing emails to multiple Japanese financial and high-tech companies .' [/INST] [On:O, November:B-Time, 26:I-Time, ,:I-Time, 2015:I-Time, ,:O, a:O, suspected:O, China-based:B-Area, APT:B-HackOrg, group:I-HackOrg, sent:O, Japanese:B-Area, defense:O, policy-themed:O, spear:B-Way, phishing:I-Way, emails:I-Way, to:O, multiple:O, Japanese:B-Area, financial:B-Org, and:O, high-tech:B-Org, companies: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: 'APT16 actors sent spear phishing emails to two Taiwanese media organizations .' [/INST] [APT16:B-HackOrg, actors:I-HackOrg, sent:O, spear:B-Way, phishing:I-Way, emails:I-Way, to:O, two:O, Taiwanese:B-Area, media:B-Org, organizations:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On the same date that APT16 targeted Taiwanese media , suspected Chinese APT actors also targeted a Taiwanese government agency , sending a lure document that contained instructions for registration and subsequent listing of goods on a local Taiwanese auction website .' [/INST] [On:O, the:O, same:O, date:O, that:O, APT16:B-HackOrg, targeted:O, Taiwanese:B-Area, media:B-Idus, ,:O, suspected:O, Chinese:B-Area, APT:B-HackOrg, actors:I-HackOrg, also:O, targeted:O, a:O, Taiwanese:B-Area, government:B-Org, agency:I-Org, ,:O, sending:O, a:O, lure:B-Way, document:I-Way, that:O, contained:O, instructions:O, for:O, registration:O, and:O, subsequent:O, listing:O, of:O, goods:O, on:O, a:O, local:O, Taiwanese:B-Area, auction:O, website:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT28 targets Russian rockers and dissidents Pussy Riot via spear-phishing emails .' [/INST] [APT28:B-HackOrg, targets:O, Russian:B-Area, rockers:B-Org, and:O, dissidents:B-Org, Pussy:O, Riot:O, via:O, spear-phishing:B-Way, emails: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: 'In 2014 , APT32 leveraged a spear-phishing attachment titled , Plans to crackdown on protesters at the Embassy of Vietnam.exe , , which targeted dissident activity among the Vietnamese diaspora in Southeast Asia .' [/INST] [In:O, 2014:B-Time, ,:O, APT32:B-HackOrg, leveraged:O, a:O, spear-phishing:B-Way, attachment:I-Way, titled:O, ,:O, Plans:O, to:O, crackdown:O, on:O, protesters:O, at:O, the:O, Embassy:O, of:O, Vietnam.exe:B-SamFile, ,:O, ,:O, which:O, targeted:O, dissident:O, activity:B-OffAct, among:O, the:O, Vietnamese:B-Area, diaspora:B-Org, in:O, Southeast:B-Area, Asia:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In 2014 , APT32 leveraged a spear-phishing attachment titled , Plans to crackdown on protesters at the Embassy of Vietnam.exe , .' [/INST] [In:O, 2014:B-Time, ,:O, APT32:B-HackOrg, leveraged:O, a:O, spear-phishing:B-Way, attachment:I-Way, titled:O, ,:O, Plans:O, to:O, crackdown:O, on:O, protesters:O, at:O, the:O, Embassy:O, of:O, Vietnam.exe:B-SamFile, ,:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'APT33 sent spear phishing emails to employees whose jobs related to the aviation industry .' [/INST] [APT33:B-HackOrg, sent:O, spear:B-Way, phishing:I-Way, emails:I-Way, to:O, employees:B-Org, whose:O, jobs:O, related:O, to:O, the:O, aviation:B-Idus, industry: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: 'It is possible that APT37 's distribution of KARAE malware via torrent websites could assist in creating and maintaining botnets for future distributed denial-of-service ( DDoS ) attacks , or for other activity such as financially motivated campaigns or disruptive operations .' [/INST] [It:O, is:O, possible:O, that:O, APT37:B-HackOrg, 's:O, distribution:O, of:O, KARAE:B-Tool, malware:I-Tool, via:O, torrent:O, websites:O, could:O, assist:O, in:O, creating:O, and:O, maintaining:O, botnets:O, for:O, future:O, distributed:B-Way, denial-of-service:I-Way, (:O, DDoS:B-Way, ):O, attacks:B-OffAct, ,:O, or:O, for:O, other:O, activity:B-OffAct, such:O, as:O, financially:B-Purp, motivated:O, campaigns:B-OffAct, or:O, disruptive:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In May 2017 , APT37 used a bank liquidation letter as a spear phishing lure against a board member of a Middle Eastern financial company .' [/INST] [In:O, May:B-Time, 2017:I-Time, ,:O, APT37:B-HackOrg, used:O, a:O, bank:O, liquidation:O, letter:O, as:O, a:O, spear:B-Way, phishing:I-Way, lure:I-Way, against:O, a:O, board:B-Org, member:I-Org, of:O, a:O, Middle:B-Area, Eastern:I-Area, financial:B-Org, company: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: 'Operation Daybreak appears to have been launched by unknown attackers to infect high profile targets through spear-phishing e-mails .' [/INST] [Operation:B-OffAct, Daybreak:I-OffAct, appears:O, to:O, have:O, been:O, launched:O, by:O, unknown:O, attackers:B-HackOrg, to:O, infect:B-Purp, high:I-Purp, profile:I-Purp, targets:I-Purp, through:O, spear-phishing:B-Way, e-mails:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Operation Daybreak appears to have been launched by APT37 to infect high profile targets through spear-phishing e-mails .' [/INST] [Operation:B-OffAct, Daybreak:I-OffAct, appears:O, to:O, have:O, been:O, launched:O, by:O, APT37:B-HackOrg, to:O, infect:B-Purp, high:I-Purp, profile:I-Purp, targets:I-Purp, through:O, spear-phishing:B-Way, e-mails:I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BRONZE BUTLER has demonstrated the ability to identify a significant zero-day vulnerability within a popular Japanese corporate tool and then use scan-and-exploit techniques to indiscriminately compromise Japanese Internet-facing enterprise systems .' [/INST] [BRONZE:B-HackOrg, BUTLER:I-HackOrg, has:O, demonstrated:O, the:O, ability:O, to:O, identify:O, a:O, significant:O, zero-day:B-Exp, vulnerability:I-Exp, within:O, a:O, popular:O, Japanese:B-Area, corporate:O, tool:O, and:O, then:O, use:O, scan-and-exploit:B-Way, techniques:I-Way, to:O, indiscriminately:O, compromise:O, Japanese:B-Area, Internet-facing:O, enterprise: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 group has demonstrated the ability to identify a significant zero-day vulnerability within a popular Japanese corporate tool and then use scan-and-exploit techniques to indiscriminately compromise Japanese Internet-facing enterprise systems .' [/INST] [The:O, group:B-HackOrg, has:O, demonstrated:O, the:O, ability:O, to:O, identify:O, a:O, significant:O, zero-day:B-Exp, vulnerability:I-Exp, within:O, a:O, popular:O, Japanese:B-Area, corporate:O, tool:O, and:O, then:O, use:O, scan-and-exploit:B-Way, techniques:I-Way, to:O, indiscriminately:O, compromise:O, Japanese:B-Area, Internet-facing:O, enterprise: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: 'BRONZE BUTLER has used phishing emails with Flash animation attachments to download and execute Daserf malware , and has also leveraged Flash exploits for SWC attacks .' [/INST] [BRONZE:B-HackOrg, BUTLER:I-HackOrg, has:O, used:O, phishing:B-Way, emails:I-Way, with:O, Flash:O, animation:O, attachments:O, to:O, download:O, and:O, execute:O, Daserf:B-Tool, malware:I-Tool, ,:O, and:O, has:O, also:O, leveraged:O, Flash:B-Exp, exploits:I-Exp, for:O, SWC:B-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group has used phishing emails with Flash animation attachments to download and execute Daserf malware , and has also leveraged Flash exploits for SWC attacks .' [/INST] [The:O, group:B-HackOrg, has:O, used:O, phishing:B-Way, emails:I-Way, with:O, Flash:O, animation:O, attachments:O, to:O, download:O, and:O, execute:O, Daserf:B-Tool, malware:I-Tool, ,:O, and:O, has:O, also:O, leveraged:O, Flash:B-Exp, exploits:I-Exp, for:O, SWC:B-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While investigating a 2016 intrusion , Secureworks identified BRONZE BUTLER exploiting a then-unpatched remote code execution vulnerability ( CVE-2016-7836 ) in SKYSEA Client View , a popular Japanese product used to manage an organization .' [/INST] [While:O, investigating:O, a:O, 2016:B-Time, intrusion:O, ,:O, Secureworks:B-SecTeam, identified:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, exploiting:O, a:O, then-unpatched:O, remote:B-Way, code:I-Way, execution:I-Way, vulnerability:O, (:O, CVE-2016-7836:B-Exp, ):O, in:O, SKYSEA:O, Client:O, View:O, ,:O, a:O, popular:O, Japanese:B-Area, product:O, used:O, to:O, manage:O, an:O, organization:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While investigating a 2016 intrusion , Secureworks incident responders identified BRONZE BUTLER exploiting a then-unpatched remote code execution vulnerability ( CVE-2016-7836 ) in SKYSEA Client View , a popular Japanese product used to manage an organization .' [/INST] [While:O, investigating:O, a:O, 2016:B-Time, intrusion:O, ,:O, Secureworks:B-SecTeam, incident:O, responders:O, identified:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, exploiting:O, a:O, then-unpatched:O, remote:B-Way, code:I-Way, execution:I-Way, vulnerability:O, (:O, CVE-2016-7836:B-Exp, ):O, in:O, SKYSEA:O, Client:O, View:O, ,:O, a:O, popular:O, Japanese:B-Area, product:O, used:O, to:O, manage:O, an:O, organization:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Symantec discovered the most recent wave of Tick attacks in July 2015 , when the group compromised three different Japanese websites with a Flash ( .swf ) exploit to mount watering hole attacks .' [/INST] [Symantec:B-SecTeam, discovered:O, the:O, most:O, recent:O, wave:O, of:O, Tick:B-OffAct, attacks:I-OffAct, in:O, July:B-Time, 2015:I-Time, ,:O, when:O, the:O, group:B-HackOrg, compromised:O, three:O, different:O, Japanese:B-Area, websites:O, with:O, a:O, Flash:B-Way, (:I-Way, .swf:I-Way, ):I-Way, exploit:I-Way, to:O, mount:O, watering:B-OffAct, hole:I-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Symantec discovered the most recent wave of Tick attacks in July 2015 , when BRONZE BUTLER compromised three different Japanese websites with a Flash ( .swf ) exploit to mount watering hole attacks .' [/INST] [Symantec:B-SecTeam, discovered:O, the:O, most:O, recent:O, wave:O, of:O, Tick:B-OffAct, attacks:I-OffAct, in:O, July:B-Time, 2015:I-Time, ,:O, when:O, BRONZE:B-HackOrg, BUTLER:I-HackOrg, compromised:O, three:O, different:O, Japanese:B-Area, websites:O, with:O, a:O, Flash:B-Way, (:I-Way, .swf:I-Way, ):I-Way, exploit:I-Way, to:O, mount:O, watering:B-OffAct, hole:I-OffAct, attacks:I-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , even though the TTPs of the Cleaver team have some overlap to techniques used by Iranian Cyber Army ( botnets ) , Ashiyane ( SQL injection ) and Syrian Electronic Army ( phishing ) , we believe this is largely the work of a new team .' [/INST] [However:O, ,:O, even:O, though:O, the:O, TTPs:O, of:O, the:O, Cleaver:B-HackOrg, team:O, have:O, some:O, overlap:O, to:O, techniques:O, used:O, by:O, Iranian:B-Area, Cyber:B-HackOrg, Army:I-HackOrg, (:O, botnets:O, ):O, ,:O, Ashiyane:B-HackOrg, (:O, SQL:B-Way, injection:I-Way, ):O, and:O, Syrian:B-Idus, Electronic:I-Idus, Army:I-Idus, (:O, phishing:B-Way, ):O, ,:O, we:O, believe:O, this:O, is:O, largely:O, the:O, work:O, of:O, a:O, new:O, team:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 several cases , the Cobalt compromised company infrastructure and employee accounts in order to send phishing messages to partner companies in North and South America , Europe , CIS countries , and Central and Southeast Asia .' [/INST] [In:O, several:O, cases:O, ,:O, the:O, Cobalt:B-HackOrg, compromised:O, company:O, infrastructure:O, and:O, employee:O, accounts:O, in:O, order:O, to:O, send:O, phishing:B-Way, messages:I-Way, to:O, partner:O, companies:O, in:O, North:B-Area, and:O, South:B-Area, America:I-Area, ,:O, Europe:B-Area, ,:O, CIS:B-Area, countries:O, ,:O, and:O, Central:B-Area, and:O, Southeast:B-Area, Asia:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To ensure remote access to the workstation of an employee at a target organization , the Cobalt group ( as in previous years ) uses Beacon , a Trojan available as part of commercial penetration testing software .' [/INST] [To:O, ensure:O, remote:B-Way, access:I-Way, to:O, the:O, workstation:O, of:O, an:O, employee:O, at:O, a:O, target:O, organization:O, ,:O, the:O, Cobalt:B-HackOrg, group:I-HackOrg, (:O, as:O, in:O, previous:O, years:O, ):O, uses:O, Beacon:B-Tool, ,:O, a:O, Trojan:O, available:O, as:O, part:O, of:O, commercial:O, penetration:O, testing: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: 'In a recent spear-phishing campaign , the Cobalt Hacking Group used a remote code execution vulnerability in Microsoft Office software to connect to its command and control server via Cobalt Strike .' [/INST] [In:O, a:O, recent:O, spear-phishing:B-OffAct, campaign:I-OffAct, ,:O, the:O, Cobalt:B-HackOrg, Hacking:I-HackOrg, Group:I-HackOrg, used:O, a:O, remote:B-Way, code:I-Way, execution:I-Way, vulnerability:O, in:O, Microsoft:O, Office:O, software:O, to:O, connect:O, to:O, its:O, command:O, and:O, control:O, server:O, via:O, Cobalt:B-Tool, Strike:I-Tool, .:O] </s> |