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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: 'Initial inspection of this attack suggested this was again the OilRig campaign using their existing toolset , but further examination revealed not only new variants of the delivery document we named Clayslide , but also a different payload embedded inside it .' [/INST] [Initial:O, inspection:O, of:O, this:O, attack:B-OffAct, suggested:O, this:O, was:O, again:O, the:O, OilRig:B-OffAct, campaign:I-OffAct, using:O, their:O, existing:O, toolset:O, ,:O, but:O, further:O, examination:O, revealed:O, not:O, only:O, new:O, variants:O, of:O, the:O, delivery:O, document:O, we:O, named:O, Clayslide:B-Tool, ,:O, but:O, also:O, a:O, different:O, payload:O, embedded:O, inside:O, it:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 July 2017 , we observed an attack on a Middle Eastern technology organization that was also targeted by the OilRig campaign in August 2016 .' [/INST] [In:O, July:B-Time, 2017:I-Time, ,:O, we:O, observed:O, an:O, attack:B-OffAct, on:O, a:O, Middle:B-Area, Eastern:I-Area, technology:B-Org, organization:I-Org, that:O, was:O, also:O, targeted:O, by:O, the:O, OilRig:B-OffAct, campaign:I-OffAct, in:O, August:B-Time, 2016: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: 'This technique was observed in previous Clayslide documents to access the script variant of the Helminth Trojan in earlier OilRig attacks .' [/INST] [This:O, technique:O, was:O, observed:O, in:O, previous:O, Clayslide:B-Tool, documents:I-Tool, to:O, access:O, the:O, script:O, variant:O, of:O, the:O, Helminth:B-Way, Trojan:I-Way, in:O, earlier:O, OilRig: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: 'In the past , we had primarily associated the OilRig campaign with using the Clayslide documents to deliver as a payload a Trojan we named Helminth ; in this instance , the payload was instead a variant of the ISMDoor Trojan with significant modifications which we are now tracking as ISMAgent .' [/INST] [In:O, the:O, past:O, ,:O, we:O, had:O, primarily:O, associated:O, the:O, OilRig:B-OffAct, campaign:I-OffAct, with:O, using:O, the:O, Clayslide:B-Tool, documents:I-Tool, to:O, deliver:O, as:O, a:O, payload:O, a:O, Trojan:O, we:O, named:O, Helminth:B-Tool, ;:O, in:O, this:O, instance:O, ,:O, the:O, payload:O, was:O, instead:O, a:O, variant:O, of:O, the:O, ISMDoor:B-Tool, Trojan:I-Tool, with:O, significant:O, modifications:O, which:O, we:O, are:O, now:O, tracking:O, as:O, ISMAgent: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 June 2017 sample of Clayslide contained the same OfficeServicesStatus.vbs file found in the ISMAgent Clayslide document , but instead of having the payload embedded in the macro as segregated base64 strings that would be concatenated , this variant obtained its payload from multiple cells within the , Incompatible , worksheet .' [/INST] [The:O, June:B-Time, 2017:I-Time, sample:O, of:O, Clayslide:B-Tool, contained:O, the:O, same:O, OfficeServicesStatus.vbs:B-SamFile, file:I-SamFile, found:O, in:O, the:O, ISMAgent:B-Tool, Clayslide:I-Tool, document:I-Tool, ,:O, but:O, instead:O, of:O, having:O, the:O, payload:O, embedded:O, in:O, the:O, macro:O, as:O, segregated:O, base64:O, strings:O, that:O, would:O, be:O, concatenated:O, ,:O, this:O, variant:O, obtained:O, its:O, payload:O, from:O, multiple:O, cells:O, within:O, the:O, ,:O, Incompatible:O, ,:O, worksheet:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Clearly , OilRig incorporates a testing component within their development process , as we have previously observed OilRig performing testing activities on their delivery documents and their TwoFace webshells .' [/INST] [Clearly:O, ,:O, OilRig:B-HackOrg, incorporates:O, a:O, testing:O, component:O, within:O, their:O, development:O, process:O, ,:O, as:O, we:O, have:O, previously:O, observed:O, OilRig:B-HackOrg, performing:O, testing:B-OffAct, activities:I-OffAct, on:O, their:O, delivery:B-Tool, documents:I-Tool, and:O, their:O, TwoFace:B-Tool, webshells: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: 'While continuing research on the August 2018 attacks on a Middle eastern government that delivered BONDUPDATER , Unit 42 researchers observed OilRig 's testing activities and with high confidence links this testing to the creation of the weaponized delivery document used in this attack .' [/INST] [While:O, continuing:O, research:O, on:O, the:O, August:B-OffAct, 2018:I-OffAct, attacks:I-OffAct, on:O, a:O, Middle:B-Area, eastern:I-Area, government:B-Idus, that:O, delivered:O, BONDUPDATER:B-Tool, ,:O, Unit:B-SecTeam, 42:I-SecTeam, researchers:O, observed:O, OilRig:B-HackOrg, 's:O, testing:B-OffAct, activities:I-OffAct, and:O, with:O, high:O, confidence:O, links:O, this:O, testing:O, to:O, the:O, creation:O, of:O, the:O, weaponized:O, delivery:O, document:O, used:O, in:O, this:O, attack:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While investigating recent attacks performed by the threat actor group OilRig using their new Bondupdater version , Unit 42 researchers searched for additional Microsoft Office documents used by OilRig hoping to locate additional malware being used in other attacks during the same time period .' [/INST] [While:O, investigating:O, recent:O, attacks:B-OffAct, performed:O, by:O, the:O, threat:B-HackOrg, actor:I-HackOrg, group:I-HackOrg, OilRig:I-HackOrg, using:O, their:O, new:O, Bondupdater:B-Tool, version:O, ,:O, Unit:B-SecTeam, 42:I-SecTeam, researchers:O, searched:O, for:O, additional:O, Microsoft:O, Office:O, documents:O, used:O, by:O, OilRig:B-HackOrg, hoping:O, to:O, locate:O, additional:O, malware:O, being:O, used:O, in:O, other:O, attacks:B-OffAct, during:O, the:O, same:O, time:O, period:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 tester created the final test file less than 8 hours before the creation time of a delivery document , which was then delivered via a spear-phishing email 20 minutes later .' [/INST] [The:O, tester:O, created:O, the:O, final:O, test:O, file:O, less:O, than:O, 8:O, hours:O, before:O, the:O, creation:O, time:O, of:O, a:O, delivery:O, document:O, ,:O, which:O, was:O, then:O, delivered:O, via:O, a:O, spear-phishing:B-Way, email:I-Way, 20:O, minutes:O, later:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 testing , we saw document filenames that contain the C2 we witnessed in the targeted attack above , specifically the filenames XLS-withyourface.xls and XLS-withyourface – test.xls .' [/INST] [During:O, this:O, testing:O, ,:O, we:O, saw:O, document:O, filenames:O, that:O, contain:O, the:O, C2:O, we:O, witnessed:O, in:O, the:O, targeted:B-OffAct, attack:I-OffAct, above:O, ,:O, specifically:O, the:O, filenames:O, XLS-withyourface.xls:B-SamFile, and:O, XLS-withyourface:B-SamFile, –:I-SamFile, test.xls:I-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These samples appeared to have been created by OilRig during their development and testing activities , all of which share many similarities with the delivery document used in the recent OilRig attack against a Middle Eastern government , N56.15.doc ( 7cbad6b3f505a199d6766a86b41ed23786bbb99dab9cae6c18936afdc2512f00 ) that we have also included in Table 1 .' [/INST] [These:O, samples:O, appeared:O, to:O, have:O, been:O, created:O, by:O, OilRig:B-HackOrg, during:O, their:O, development:O, and:O, testing:B-OffAct, activities:I-OffAct, ,:O, all:O, of:O, which:O, share:O, many:O, similarities:O, with:O, the:O, delivery:O, document:O, used:O, in:O, the:O, recent:O, OilRig:B-OffAct, attack:I-OffAct, against:O, a:O, Middle:B-Area, Eastern:I-Area, government:B-Idus, ,:O, N56.15.doc:B-SamFile, (:O, 7cbad6b3f505a199d6766a86b41ed23786bbb99dab9cae6c18936afdc2512f00:O, ):O, that:O, we:O, have:O, also:O, included:O, in:O, Table:O, 1:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , they later continued by making modifications to the Excel document just prior to the attack on August 26th .' [/INST] [However:O, ,:O, they:O, later:O, continued:O, by:O, making:O, modifications:O, to:O, the:O, Excel:B-Way, document:I-Way, just:O, prior:O, to:O, the:O, attack:B-OffAct, on:O, August:B-Time, 26th: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: 'HELIX KITTEN is likely an Iranian-based adversary group , active since at least late 2015 , targeting organizations in the aerospace , energy , financial , government , hospitality and telecommunications business verticals .' [/INST] [HELIX:B-HackOrg, KITTEN:I-HackOrg, is:O, likely:O, an:O, Iranian-based:B-Area, adversary:O, group:B-HackOrg, ,:O, active:O, since:O, at:O, least:O, late:B-Time, 2015:I-Time, ,:O, targeting:O, organizations:O, in:O, the:O, aerospace:B-Idus, ,:O, energy:B-Idus, ,:O, financial:B-Idus, ,:O, government:B-Idus, ,:O, hospitality:B-Idus, and:O, telecommunications:B-Idus, business:I-Idus, verticals:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Additionally , HELIX KITTEN actors have shown an affinity for creating thoroughly researched and structured spear-phishing messages relevant to the interests of targeted personnel .' [/INST] [Additionally:O, ,:O, HELIX:B-HackOrg, KITTEN:I-HackOrg, actors:I-HackOrg, have:O, shown:O, an:O, affinity:O, for:O, creating:O, thoroughly:O, researched:O, and:O, structured:O, spear-phishing:B-Way, messages:O, relevant:O, to:O, the:O, interests:O, of:O, targeted:O, personnel: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: 'In addition to Helminth , the ISMDoor implant is likely used by the Iran-based adversary to attack targets particularly those in the Middle East region .' [/INST] [In:O, addition:O, to:O, Helminth:B-Tool, ,:O, the:O, ISMDoor:B-Tool, implant:O, is:O, likely:O, used:O, by:O, the:O, Iran-based:B-Area, adversary:O, to:O, attack:O, targets:O, particularly:O, those:O, in:O, the:O, Middle:B-Area, East:I-Area, region:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These incidents involved spear-phishing attacks , which characteristic of HELIX KITTEN , included emails containing malicious PowerShell in their macros that connects to known C2 infrastructure .' [/INST] [These:O, incidents:O, involved:O, spear-phishing:B-OffAct, attacks:I-OffAct, ,:O, which:O, characteristic:O, of:O, HELIX:B-HackOrg, KITTEN:I-HackOrg, ,:O, included:O, emails:B-Way, containing:O, malicious:O, PowerShell:B-Tool, in:O, their:O, macros:O, that:O, connects:O, to:O, known:O, C2:O, infrastructure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During the summer of 2018 , HELIX KITTEN actors were observed targeting entities in the Middle East — of note , targets appeared to be located in Bahrain and Kuwait .' [/INST] [During:O, the:O, summer:B-Time, of:I-Time, 2018:I-Time, ,:O, HELIX:B-HackOrg, KITTEN:I-HackOrg, actors:I-HackOrg, were:O, observed:O, targeting:O, entities:O, in:O, the:O, Middle:B-Area, East:I-Area, —:O, of:O, note:O, ,:O, targets:O, appeared:O, to:O, be:O, located:O, in:O, Bahrain:B-Area, and:O, Kuwait: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: 'ISMDoor is able to exfiltrate data , take screenshots , and execute arbitrary commands on the victim 's machine .' [/INST] [ISMDoor:B-Tool, is:O, able:O, to:O, exfiltrate:B-Features, data:I-Features, ,:O, take:B-Features, screenshots:I-Features, ,:O, and:O, execute:B-Features, arbitrary:I-Features, commands:I-Features, on:O, the:O, victim:O, 's:O, machine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 November 2018 , CrowdStrike observed activity from the HELIX KITTEN adversary at a customer in the telecommunications vertical .' [/INST] [In:O, early:B-Time, November:I-Time, 2018:I-Time, ,:O, CrowdStrike:B-SecTeam, observed:O, activity:B-OffAct, from:O, the:O, HELIX:B-HackOrg, KITTEN:I-HackOrg, adversary:O, at:O, a:O, customer:O, in:O, the:O, telecommunications:B-Idus, vertical:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 sent multiple emails containing macro-enabled XLS files to employees working in the banking sector in the Middle East .' [/INST] [The:O, attackers:B-HackOrg, sent:O, multiple:O, emails:B-Way, containing:O, macro-enabled:O, XLS:B-SamFile, files:I-SamFile, to:O, employees:B-Org, working:I-Org, in:I-Org, the:I-Org, banking:I-Org, sector:I-Org, in:O, the:O, Middle:B-Area, East:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the first week of May 2016 , FireEye 's DTI identified a wave of emails containing malicious attachments being sent to multiple banks in the Middle East region .' [/INST] [In:O, the:O, first:O, week:O, of:O, May:B-Time, 2016:I-Time, ,:O, FireEye:B-SecTeam, 's:I-SecTeam, DTI:I-SecTeam, identified:O, a:O, wave:O, of:O, emails:B-Way, containing:O, malicious:B-SamFile, attachments:I-SamFile, being:O, sent:O, to:O, multiple:O, banks:B-Idus, in:O, the:O, Middle:B-Area, East:I-Area, region:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our data suggests that actors have deployed the RGDoor backdoor on webservers belonging to eight Middle Eastern government organizations , as well as one financial and one educational institution .' [/INST] [Our:O, data:O, suggests:O, that:O, actors:B-HackOrg, have:O, deployed:O, the:O, RGDoor:B-Tool, backdoor:I-Tool, on:O, webservers:O, belonging:O, to:O, eight:O, Middle:B-Area, Eastern:I-Area, government:B-Org, organizations:I-Org, ,:O, as:O, well:O, as:O, one:O, financial:B-Org, and:O, one:O, educational:B-Org, institution: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: 'In August 2018 , Unit 42 observed OilRig targeting a government organization using spear-phishing emails to deliver an updated version of a Trojan known as BONDUPDATER .' [/INST] [In:O, August:B-Time, 2018:I-Time, ,:O, Unit:B-SecTeam, 42:I-SecTeam, observed:O, OilRig:B-HackOrg, targeting:O, a:O, government:B-Org, organization:I-Org, using:O, spear-phishing:B-Way, emails:I-Way, to:O, deliver:O, an:O, updated:O, version:O, of:O, a:O, Trojan:O, known:O, as:O, BONDUPDATER: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 OilRig group has been active since at least mid-2016 , and continues their attack campaigns throughout the Middle East , targeting both governmental agencies and businesses on an almost routine basis .' [/INST] [The:O, OilRig:B-HackOrg, group:I-HackOrg, has:O, been:O, active:O, since:O, at:O, least:O, mid-2016:B-Time, ,:O, and:O, continues:O, their:O, attack:B-OffAct, campaigns:I-OffAct, throughout:O, the:O, Middle:B-Area, East:I-Area, ,:O, targeting:O, both:O, governmental:B-Org, agencies:I-Org, and:O, businesses:B-Idus, on:O, an:O, almost:O, routine:O, basis:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BONDUPDATER is a PowerShell-based Trojan first discovered by FireEye in mid-November 2017 , when OilRig targeted a different Middle Eastern governmental organization .' [/INST] [BONDUPDATER:B-Tool, is:O, a:O, PowerShell-based:B-Tool, Trojan:I-Tool, first:O, discovered:O, by:O, FireEye:B-SecTeam, in:O, mid-November:B-Time, 2017:I-Time, ,:O, when:O, OilRig:B-HackOrg, targeted:O, a:O, different:O, Middle:B-Area, Eastern:I-Area, governmental:B-Org, organization:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During the past month , Unit 42 observed several attacks against a Middle Eastern government leveraging an updated version of the BONDUPDATER malware , which now includes the ability to use TXT records within its DNS tunneling protocol for its C2 communications .' [/INST] [During:O, the:O, past:O, month:O, ,:O, Unit:B-SecTeam, 42:I-SecTeam, observed:O, several:O, attacks:B-OffAct, against:O, a:O, Middle:B-Area, Eastern:I-Area, government:B-Idus, leveraging:O, an:O, updated:O, version:O, of:O, the:O, BONDUPDATER:B-Tool, malware:I-Tool, ,:O, which:O, now:O, includes:O, the:O, ability:O, to:O, use:O, TXT:O, records:O, within:O, its:O, DNS:B-Tool, tunneling:I-Tool, protocol:O, for:O, its:O, C2:O, communications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 email had no subject and what initially drew our attention to OilRig 's attack was the content of the spear phishing email .' [/INST] [The:O, email:B-Way, had:O, no:O, subject:O, and:O, what:O, initially:O, drew:O, our:O, attention:O, to:O, OilRig:B-HackOrg, 's:O, attack:B-OffAct, was:O, the:O, content:O, of:O, the:O, spear:B-Way, phishing:I-Way, email: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: 'As expected , OilRig is continuing their onslaught of attacks well into 2018 with continued targeting in the Middle East .' [/INST] [As:O, expected:O, ,:O, OilRig:B-HackOrg, is:O, continuing:O, their:O, onslaught:O, of:O, attacks:B-OffAct, well:O, into:O, 2018:B-Time, with:O, continued:O, targeting:O, in:O, the:O, Middle:B-Area, East:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First identified in January 2015 , Orangeworm has also conducted targeted attacks against organizations in related industries as part of a larger supply-chain attack in order to reach their intended victims .' [/INST] [First:O, identified:O, in:O, January:B-Time, 2015:I-Time, ,:O, Orangeworm:O, has:O, also:O, conducted:O, targeted:B-OffAct, attacks:I-OffAct, against:O, organizations:O, in:O, related:O, industries:O, as:O, part:O, of:O, a:O, larger:O, supply-chain:B-OffAct, attack:I-OffAct, in:O, order:O, to:O, reach:O, their:O, intended:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to Symantec telemetry , almost 40 percent of Orangeworm 's confirmed victim organizations operate within the healthcare industry .' [/INST] [According:O, to:O, Symantec:B-SecTeam, telemetry:O, ,:O, almost:O, 40:O, percent:O, of:O, Orangeworm:O, 's:O, confirmed:O, victim:O, organizations:O, operate:O, within:O, the:O, healthcare: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: 'Their next move was to list any remote shared drives and then attempt to access remote shares owned by the specific government office they were targeting , again attempting to extract all Word documents .' [/INST] [Their:O, next:O, move:O, was:O, to:O, list:O, any:O, remote:O, shared:O, drives:O, and:O, then:O, attempt:O, to:O, access:O, remote:O, shares:O, owned:O, by:O, the:O, specific:O, government:B-Org, office:I-Org, they:O, were:O, targeting:O, ,:O, again:O, attempting:O, to:O, extract:O, all:O, Word:B-SamFile, documents:I-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sowbug 's next move was to list any remote shared drives and then attempt to access remote shares owned by the specific government office they were targeting , again attempting to extract all Word documents .' [/INST] [Sowbug:B-HackOrg, 's:O, next:O, move:O, was:O, to:O, list:O, any:O, remote:O, shared:O, drives:O, and:O, then:O, attempt:O, to:O, access:O, remote:O, shares:O, owned:O, by:O, the:O, specific:O, government:B-Org, office:I-Org, they:O, were:O, targeting:O, ,:O, again:O, attempting:O, to:O, extract:O, all:O, Word:B-SamFile, documents:I-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For example , in September 2016 , Sowbug infiltrated an organization in Asia , deploying the Felismus backdoor on one of its computers , Computer A , using the file name adobecms.exe in CSIDL_WINDOWS\debug .' [/INST] [For:O, example:O, ,:O, in:O, September:B-Time, 2016:I-Time, ,:O, Sowbug:B-HackOrg, infiltrated:O, an:O, organization:O, in:O, Asia:B-Area, ,:O, deploying:O, the:O, Felismus:B-Tool, backdoor:I-Tool, on:O, one:O, of:O, its:O, computers:O, ,:O, Computer:O, A:O, ,:O, using:O, the:O, file:O, name:O, adobecms.exe:B-SamFile, in:O, CSIDL_WINDOWS\debug:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this case , the attackers maintained a presence on the target 's network for nearly six months between September 2016 and March 2017 .' [/INST] [In:O, this:O, case:O, ,:O, the:O, attackers:O, maintained:O, a:O, presence:O, on:O, the:O, target:O, 's:O, network:O, for:O, nearly:O, six:O, months:O, between:O, September:B-Time, 2016:I-Time, and:O, March:B-Time, 2017:I-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In other attacks , there was evidence that Felismus was installed using a tool known as Starloader ( detected by Symantec as Trojan.Starloader ) .' [/INST] [In:O, other:O, attacks:B-OffAct, ,:O, there:O, was:O, evidence:O, that:O, Felismus:B-Tool, was:O, installed:O, using:O, a:O, tool:O, known:O, as:O, Starloader:B-Tool, (:O, detected:O, by:O, Symantec:B-SecTeam, as:O, Trojan.Starloader:B-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: 'Symantec has found evidence of Starloader files being named AdobeUpdate.exe , AcrobatUpdate.exe , and INTELUPDATE.EXE among others .' [/INST] [Symantec:B-SecTeam, has:O, found:O, evidence:O, of:O, Starloader:B-SamFile, files:I-SamFile, being:O, named:O, AdobeUpdate.exe:B-SamFile, ,:O, AcrobatUpdate.exe:B-SamFile, ,:O, and:O, INTELUPDATE.EXE:B-SamFile, among:O, others:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Additionally , Starloader was also observed deploying additional tools used by the attackers , such as credential dumpers and keyloggers .' [/INST] [Additionally:O, ,:O, Starloader:B-Tool, was:O, also:O, observed:O, deploying:O, additional:O, tools:O, used:O, by:O, the:O, attackers:O, ,:O, such:O, as:O, credential:B-Tool, dumpers:I-Tool, and:O, keyloggers: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: 'ASERT has learned of an APT campaign , possibly originating from DPRK , we are calling STOLEN PENCIL that is targeting academic institutions since at least May 2018 .' [/INST] [ASERT:B-SecTeam, has:O, learned:O, of:O, an:O, APT:B-OffAct, campaign:I-OffAct, ,:O, possibly:O, originating:O, from:O, DPRK:O, ,:O, we:O, are:O, calling:O, STOLEN:O, PENCIL:O, that:O, is:O, targeting:O, academic:B-Org, institutions:I-Org, since:O, at:O, least:O, May: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: 'Once gaining a foothold on a user 's system , the threat actors behind STOLEN PENCIL use Microsoft 's Remote Desktop Protocol ( RDP ) for remote point-and-click access .' [/INST] [Once:O, gaining:O, a:O, foothold:O, on:O, a:O, user:O, 's:O, system:O, ,:O, the:O, threat:O, actors:O, behind:O, STOLEN:O, PENCIL:O, use:O, Microsoft:B-Org, 's:O, Remote:B-Tool, Desktop:I-Tool, Protocol:I-Tool, (:O, RDP:B-Tool, ):O, for:O, remote:O, point-and-click: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: 'The group uses an advanced piece of malware known as Remsec ( Backdoor.Remsec ) to conduct its attacks .' [/INST] [The:O, group:O, uses:O, an:O, advanced:O, piece:O, of:O, malware:O, known:O, as:O, Remsec:B-Tool, (:O, Backdoor.Remsec:B-Tool, ):O, to:O, conduct:O, its:O, attacks:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Strider has been active since at least October 2011 .' [/INST] [Strider:B-HackOrg, has:O, been:O, active:O, since:O, at:O, least:O, October:B-Time, 2011: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: 'Lua modules is a technique that has previously been used by Flamer .' [/INST] [Lua:B-Tool, modules:I-Tool, is:O, a:O, technique:O, that:O, has:O, previously:O, been:O, used:O, by:O, Flamer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Remsec malware used by Strider has a modular design .' [/INST] [The:O, Remsec:B-Tool, malware:I-Tool, used:O, by:O, Strider:B-HackOrg, has:O, a:O, modular:O, design:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 maintained a low profile until now and its targets have been mainly organizations and individuals that would be of interest to a nation state 's intelligence services .' [/INST] [The:O, group:O, has:O, maintained:O, a:O, low:O, profile:O, until:O, now:O, and:O, its:O, targets:O, have:O, been:O, mainly:O, organizations:O, and:O, individuals:O, that:O, would:O, be:O, of:O, interest:O, to:O, a:O, nation:O, state:O, 's:O, intelligence:B-Idus, services: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: 'The group 's targets include a number of organizations and individuals located in Russia .' [/INST] [The:O, group:O, 's:O, targets:O, include:O, a:O, number:O, of:O, organizations:O, and:O, individuals:O, located:O, in:O, Russia:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Remsec uses a Lua interpreter to run Lua modules which perform various functions .' [/INST] [Remsec:B-Tool, uses:O, a:O, Lua:B-Tool, interpreter:I-Tool, to:O, run:O, Lua:B-Tool, modules:I-Tool, which:O, perform:O, various:O, functions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Russia .' [/INST] [Russia:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attackers then began to perform reconnaissance activities on Computer A via cmd.exe , collecting system-related information , such as the OS version , hardware configuration , and network information .' [/INST] [The:O, attackers:O, then:O, began:O, to:O, perform:O, reconnaissance:O, activities:B-OffAct, on:O, Computer:O, A:O, via:O, cmd.exe:B-SamFile, ,:O, collecting:B-Features, system-related:I-Features, information:I-Features, ,:O, such:O, as:O, the:O, OS:O, version:O, ,:O, hardware:O, configuration:O, ,:O, and:O, network:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'the group 's targets include an organization in Sweden .' [/INST] [the:O, group:O, 's:O, targets:O, include:O, an:O, organization:O, in:O, Sweden:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 targets include an embassy in Belgium .' [/INST] [the:O, group:O, 's:O, targets:O, include:O, an:O, embassy:B-Org, in:O, Belgium:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 will continue to search for more Remsec modules and targets in order to build upon our understanding of Strider and better protect our customers .' [/INST] [Symantec:B-SecTeam, will:O, continue:O, to:O, search:O, for:O, more:O, Remsec:B-Tool, modules:I-Tool, and:O, targets:O, in:O, order:O, to:O, build:O, upon:O, our:O, understanding:O, of:O, Strider:B-HackOrg, and:O, better:O, protect:O, our: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: 'Another such an exceptional espionage platform is , ProjectSauron , also known as , Strider , .' [/INST] [Another:O, such:O, an:O, exceptional:O, espionage:O, platform:O, is:O, ,:O, ProjectSauron:B-Tool, ,:O, also:O, known:O, as:O, ,:O, Strider:B-HackOrg, ,:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2015 , our anti-targeted attack technologies caught a previously unknown attack .' [/INST] [In:O, September:B-Time, 2015:I-Time, ,:O, our:O, anti-targeted:O, attack:O, technologies:O, caught:O, a:O, previously:O, unknown:O, attack:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Forensic analysis indicates that the APT has been operational since at least June 2011 and was still active in 2016 .' [/INST] [Forensic:O, analysis:O, indicates:O, that:O, the:O, APT:O, has:O, been:O, operational:O, since:O, at:O, least:O, June:B-Time, 2011:I-Time, and:O, was:O, still:O, active:O, in:O, 2016:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After getting the IP , the ProjectSauron component tries to communicate with the remote server using its own ( ProjectSauron ) protocol as if it was yet another C&C server .' [/INST] [After:O, getting:O, the:O, IP:O, ,:O, the:O, ProjectSauron:B-Tool, component:O, tries:O, to:O, communicate:O, with:O, the:O, remote:O, server:O, using:O, its:O, own:O, (:O, ProjectSauron:B-Tool, ):O, protocol:O, as:O, if:O, it:O, was:O, yet:O, another:O, C&C:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In a number of the cases we analyzed , ProjectSauron deployed malicious modules inside the custom network encryption 's software directory , disguised under similar filenames and accessing the data placed beside its own executable .' [/INST] [In:O, a:O, number:O, of:O, the:O, cases:O, we:O, analyzed:O, ,:O, ProjectSauron:B-Tool, deployed:O, malicious:B-Tool, modules:I-Tool, inside:O, the:O, custom:O, network:O, encryption:O, 's:O, software:O, directory:O, ,:O, disguised:O, under:O, similar:O, filenames:O, and:O, accessing:O, the:O, data:O, placed:O, beside:O, its:O, own: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 threat actor behind ProjectSauron commands a top-of-the-top modular cyber-espionage platform in terms of technical sophistication , designed to enable long-term campaigns through stealthy survival mechanisms coupled with multiple exfiltration methods .' [/INST] [The:O, threat:O, actor:O, behind:O, ProjectSauron:B-Tool, commands:O, a:O, top-of-the-top:O, modular:O, cyber-espionage:O, platform:O, in:O, terms:O, of:O, technical:O, sophistication:O, ,:O, designed:O, to:O, enable:B-Purp, long-term:I-Purp, campaigns:I-Purp, through:O, stealthy:O, survival:O, mechanisms:O, coupled:O, with:O, multiple:O, exfiltration:O, methods:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2015 , Kaspersky Lab 's Anti-Targeted Attack Platform discovered anomalous network traffic in a government organization network .' [/INST] [In:O, September:B-Time, 2015:I-Time, ,:O, Kaspersky:B-SecTeam, Lab:I-SecTeam, 's:O, Anti-Targeted:O, Attack:O, Platform:O, discovered:O, anomalous:B-SamFile, network:I-SamFile, traffic:I-SamFile, in:O, a:O, government:B-Org, organization:I-Org, 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: 'In late 2015 , Symantec identified suspicious activity involving a hacking tool used in a malicious manner against one of our customers .' [/INST] [In:O, late:O, 2015:B-Time, ,:O, Symantec:B-SecTeam, identified:O, suspicious:O, activity:B-OffAct, involving:O, a:O, hacking:O, tool:O, used:O, in:O, a:O, malicious:O, manner:O, against:O, one:O, of:O, our:O, customers: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: 'Secondary ProjectSauron modules are designed to perform specific functions like stealing documents , recording keystrokes , and hijacking encryption keys from both infected computers and attached USB sticks .' [/INST] [Secondary:O, ProjectSauron:B-Tool, modules:I-Tool, are:O, designed:O, to:O, perform:O, specific:O, functions:O, like:O, stealing:B-Way, documents:I-Way, ,:O, recording:B-Way, keystrokes:I-Way, ,:O, and:O, hijacking:B-Way, encryption:I-Way, keys:I-Way, from:O, both:O, infected:O, computers:O, and:O, attached:O, USB:O, sticks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'activity originated from three separate IP addresses , all located in Chengdu , China .' [/INST] [activity:B-OffAct, originated:O, from:O, three:O, separate:O, IP:O, addresses:O, ,:O, all:O, located:O, in:O, Chengdu:B-Area, ,:O, China:B-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We don't know the exact date Suckfly stole the certificates from the South Korean organizations .' [/INST] [We:O, don't:O, know:O, the:O, exact:O, date:O, Suckfly:O, stole:O, the:O, certificates:O, from:O, the:O, South:B-Area, Korean:I-Area, organizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'stolen certificates being used maliciously occurred in early 2014 .' [/INST] [stolen:O, certificates:O, being:O, used:O, maliciously:O, occurred:O, in:O, early:O, 2014:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 detects this threat as Backdoor.Nidiran .' [/INST] [Symantec:B-SecTeam, detects:O, this:O, threat:O, as:O, Backdoor.Nidiran:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Specifically , Suckfly used a specially crafted web page to deliver an exploit for the Microsoft Windows OLE Remote Code Execution Vulnerability ( CVE-2014-6332 ) , which affects specific versions of Microsoft Windows .' [/INST] [Specifically:O, ,:O, Suckfly:O, used:O, a:O, specially:O, crafted:O, web:O, page:O, to:O, deliver:O, an:O, exploit:O, for:O, the:O, Microsoft:B-Exp, Windows:I-Exp, OLE:I-Exp, Remote:I-Exp, Code:I-Exp, Execution:I-Exp, Vulnerability:I-Exp, (:O, CVE-2014-6332:B-Exp, ):O, ,:O, which:O, affects:O, specific:O, versions:O, of:O, Microsoft:O, Windows:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 then executes , svchost.exe , .' [/INST] [The:O, threat:O, then:O, executes:O, ,:O, svchost.exe:B-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: 'Attackers have been known to distribute malicious files masquerading as the legitimate iviewers.dll file and then use DLL load hijacking to execute the malicious code and infect the computer .' [/INST] [Attackers:O, have:O, been:O, known:O, to:O, distribute:O, malicious:B-SamFile, files:I-SamFile, masquerading:O, as:O, the:O, legitimate:O, iviewers.dll:B-Tool, file:I-Tool, and:O, then:O, use:O, DLL:B-Tool, load:I-Tool, hijacking:I-Tool, to:O, execute:O, the:O, malicious:O, code:O, and:O, infect: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: 'Once exploit has been achieved , Nidiran is delivered through a self-extracting executable that extracts the components to a .tmp folder after it has been executed .' [/INST] [Once:O, exploit:O, has:O, been:O, achieved:O, ,:O, Nidiran:B-Tool, is:O, delivered:O, through:O, a:O, self-extracting:B-Tool, executable:I-Tool, that:O, extracts:O, the:O, components:O, to:O, a:O, .tmp:B-SamFile, folder:O, after:O, it:O, has:O, been:O, executed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 certificates Blackfly stole were also from South Korean companies , primarily in the video game and software development industry .' [/INST] [The:O, certificates:O, Blackfly:O, stole:O, were:O, also:O, from:O, South:B-Area, Korean:I-Area, companies:B-Org, ,:O, primarily:O, in:O, the:O, video:B-Idus, game:I-Idus, and:I-Idus, software:I-Idus, development:I-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: 'Blackfly began with a campaign to steal certificates , which were later used to sign malware used in targeted attacks .' [/INST] [Blackfly:B-HackOrg, began:O, with:O, a:O, campaign:B-OffAct, to:O, steal:O, certificates:O, ,:O, which:O, were:O, later:O, used:O, to:O, sign:O, malware:O, used:O, in:O, targeted: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: 'In March 2016 , Symantec published a blog on Suckfly , an advanced cyberespionage group that conducted attacks against a number of South Korean organizations to steal digital certificates .' [/INST] [In:O, March:B-Time, 2016:I-Time, ,:O, Symantec:B-SecTeam, published:O, a:O, blog:O, on:O, Suckfly:O, ,:O, an:O, advanced:O, cyberespionage:O, group:O, that:O, conducted:O, attacks:B-OffAct, against:O, a:O, number:O, of:O, South:B-Area, Korean:I-Area, organizations:O, to:O, steal:B-Purp, digital:I-Purp, certificates: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: 'Since then we have identified a number of attacks over a two-year period , beginning in April 2014 , which we attribute to Suckfly .' [/INST] [Since:O, then:O, we:O, have:O, identified:O, a:O, number:O, of:O, attacks:B-OffAct, over:O, a:O, two-year:O, period:O, ,:O, beginning:O, in:O, April:B-Time, 2014:I-Time, ,:O, which:O, we:O, attribute:O, to:O, Suckfly:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attacks targeted high-profile targets , including government and commercial organizations .' [/INST] [The:O, attacks:B-OffAct, targeted:O, high-profile:O, targets:O, ,:O, including:O, government:B-Idus, and:O, commercial: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: 'these attacks were part of a planned operation against specific targets in India .' [/INST] [these:O, attacks:B-OffAct, were:O, part:O, of:O, a:O, planned:O, operation:O, against:O, specific:O, targets:O, in:O, India:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 there have been several Suckfly campaigns that infected organizations with the group 's custom malware Backdoor.Nidiran , the Indian targets show a greater amount of post-infection activity than targets in other regions .' [/INST] [While:O, there:O, have:O, been:O, several:O, Suckfly:B-OffAct, campaigns:I-OffAct, that:O, infected:O, organizations:O, with:O, the:O, group:O, 's:O, custom:O, malware:O, Backdoor.Nidiran:B-SamFile, ,:O, the:O, Indian:O, targets:O, show:O, a:O, greater:O, amount:O, of:O, post-infection:B-OffAct, activity:I-OffAct, than:O, targets:O, in:O, other:O, regions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While there have been several Suckfly campaigns that infected organizations with the group 's custom malware Backdoor.Nidiran , the Indian targets show a greater amount of post-infection activity than targets in other regions .' [/INST] [While:O, there:O, have:O, been:O, several:O, Suckfly:B-OffAct, campaigns:I-OffAct, that:O, infected:O, organizations:O, with:O, the:O, group:O, 's:O, custom:O, malware:O, Backdoor.Nidiran:B-SamFile, ,:O, the:O, Indian:O, targets:O, show:O, a:O, greater:O, amount:O, of:O, post-infection:B-OffAct, activity:I-OffAct, than:O, targets:O, in:O, other:O, regions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The first known Suckfly campaign began in April of 2014 .' [/INST] [The:O, first:O, known:O, Suckfly:B-OffAct, campaign:I-OffAct, began:O, in:O, April:B-Time, of:I-Time, 2014: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: 'Suckfly 's attacks on government organizations that provide information technology services to other government branches is not limited to India .' [/INST] [Suckfly:B-OffAct, 's:O, attacks:B-OffAct, on:O, government:B-Org, organizations:I-Org, that:O, provide:O, information:B-Idus, technology:I-Idus, services:I-Idus, to:O, other:O, government:B-Idus, branches:O, is:O, not:O, limited:O, to:O, India: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: 'It has conducted attacks on similar organizations in Saudi Arabia , likely because of the access that those organizations have .' [/INST] [It:O, has:O, conducted:O, attacks:B-OffAct, on:O, similar:O, organizations:O, in:O, Saudi:B-Area, Arabia:I-Area, ,:O, likely:O, because:O, of:O, the:O, access:O, that:O, those:O, organizations:O, have:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Similar to its other attacks , Suckfly used the Nidiran back door along with a number of hacktools to infect the victim 's internal hosts .' [/INST] [Similar:O, to:O, its:O, other:O, attacks:B-OffAct, ,:O, Suckfly:B-OffAct, used:O, the:O, Nidiran:B-Tool, back:I-Tool, door:I-Tool, along:O, with:O, a:O, number:O, of:O, hacktools:B-Tool, to:O, infect:O, the:O, victim:O, 's:O, internal:O, hosts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In 2015 , Suckfly conducted a multistage attack .' [/INST] [In:O, 2015:B-Time, ,:O, Suckfly:B-OffAct, conducted:O, a:O, multistage:O, attack:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly conducted a multistage attack between April 22 and May 4 .' [/INST] [Suckfly:B-OffAct, conducted:O, a:O, multistage:O, attack:B-OffAct, between:O, April:B-Time, 22:I-Time, and:O, May:B-Time, 4: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: 'On April 22 , 2015 , Suckfly exploited a vulnerability on the targeted employee 's operating system ( Windows ) that allowed the attackers to bypass the User Account Control and install the Nidiran back door to provide access for their attack .' [/INST] [On:O, April:B-Time, 22:I-Time, ,:O, 2015:B-Time, ,:O, Suckfly:O, exploited:O, a:O, vulnerability:O, on:O, the:O, targeted:O, employee:O, 's:O, operating:O, system:O, (:O, Windows:O, ):O, that:O, allowed:O, the:O, attackers:O, to:O, bypass:O, the:O, User:O, Account:O, Control:O, and:O, install:O, the:O, Nidiran:B-Tool, back:I-Tool, door:I-Tool, to:O, provide:O, access:O, for:O, their:O, attack:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly conducted a multistage attack against an e-commerce organization .' [/INST] [Suckfly:B-OffAct, conducted:O, a:O, multistage:O, attack:B-OffAct, against:O, an:O, e-commerce:B-Org, organization:I-Org, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly conducted a multistage attack against an e-commerce organization based in India .' [/INST] [Suckfly:B-OffAct, conducted:O, a:O, multistage:O, attack:B-OffAct, against:O, an:O, e-commerce:B-Org, organization:I-Org, based:O, in:O, India: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: 'Most of the group 's attacks are focused on government or technology related companies and organizations .' [/INST] [Most:O, of:O, the:O, group:O, 's:O, attacks:B-OffAct, are:O, focused:O, on:O, government:B-Org, or:O, technology:B-Org, related:I-Org, companies:I-Org, and:O, organizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While we know the attackers used a custom dropper to install the back door , we do not know the delivery vector .' [/INST] [While:O, we:O, know:O, the:O, attackers:O, used:O, a:O, custom:B-Tool, dropper:I-Tool, to:O, install:O, the:O, back:O, door:O, ,:O, we:O, do:O, not:O, know:O, the:O, delivery:O, vector:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 tracking what days of the week Suckfly used its hacktools , we discovered that the group was only active Monday through Friday .' [/INST] [While:O, tracking:O, what:O, days:O, of:O, the:O, week:O, Suckfly:O, used:O, its:O, hacktools:B-Tool, ,:O, we:O, discovered:O, that:O, the:O, group:O, was:O, only:O, active:O, Monday:O, through:O, Friday:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 targeting all of these organizations together , Suckfly could have had a much larger impact on India and its economy .' [/INST] [By:O, targeting:O, all:O, of:O, these:O, organizations:O, together:O, ,:O, Suckfly:O, could:O, have:O, had:O, a:O, much:O, larger:O, impact:O, on:O, India:O, and:O, its:O, economy:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While we don't know the motivations behind the attacks , the targeted commercial organizations , along with the targeted government organizations , may point in this direction .' [/INST] [While:O, we:O, don't:O, know:O, the:O, motivations:O, behind:O, the:O, attacks:B-OffAct, ,:O, the:O, targeted:O, commercial:B-Org, organizations:I-Org, ,:O, along:O, with:O, the:O, targeted:O, government:B-Org, organizations:I-Org, ,:O, may:O, point:O, in:O, this:O, direction:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'There is no evidence that Suckfly gained any benefits from attacking the government organizations , but someone else may have benefited from these attacks .' [/INST] [There:O, is:O, no:O, evidence:O, that:O, Suckfly:O, gained:O, any:O, benefits:O, from:O, attacking:O, the:O, government:B-Org, organizations:I-Org, ,:O, but:O, someone:O, else:O, may:O, have:O, benefited:O, from:O, these:O, attacks:B-OffAct, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During this time they were able to steal digital certificates from South Korean companies and launch attacks against Indian and Saudi Arabian government organizations .' [/INST] [During:O, this:O, time:O, they:O, were:O, able:O, to:O, steal:B-Purp, digital:I-Purp, certificates:I-Purp, from:O, South:B-Area, Korean:I-Area, companies:B-Org, and:O, launch:O, attacks:B-OffAct, against:O, Indian:O, and:O, Saudi:O, Arabian:O, government: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: 'We believe that Suckfly will continue to target organizations in India and similar organizations in other countries in order to provide economic insight to the organization behind Suckfly 's operations .' [/INST] [We:O, believe:O, that:O, Suckfly:B-OffAct, will:O, continue:O, to:O, target:O, organizations:O, in:O, India:O, and:O, similar:O, organizations:O, in:O, other:O, countries:O, in:O, order:O, to:O, provide:O, economic:B-Idus, insight:O, to:O, the:O, organization:O, behind:O, Suckfly:B-OffAct, 's: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: 'This time , however , TA459 opportunistically used spear-phishing emails with a Microsoft Word attachment exploiting the recently patched CVE-2017-0199 to deploy the ZeroT Trojan , which in turn downloaded the PlugX Remote Access Trojan ( RAT ) .' [/INST] [This:O, time:O, ,:O, however:O, ,:O, TA459:O, opportunistically:O, used:O, spear-phishing:B-Way, emails:I-Way, with:O, a:O, Microsoft:B-SamFile, Word:I-SamFile, attachment:I-SamFile, exploiting:O, the:O, recently:O, patched:O, CVE-2017-0199:B-Exp, to:O, deploy:O, the:O, ZeroT:B-Tool, Trojan:I-Tool, ,:O, which:O, in:O, turn:O, downloaded:O, the:O, PlugX:B-Tool, Remote:I-Tool, Access:I-Tool, Trojan:I-Tool, (:O, RAT:B-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: 'Proofpoint is tracking this attacker , believed to operate out of China , as TA459 .' [/INST] [Proofpoint:B-SecTeam, is:O, tracking:O, this:O, attacker:O, ,:O, believed:O, to:O, operate:O, out:O, of:O, China:B-Area, ,:O, as:O, TA459: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 time , however , attackers opportunistically used spear-phishing emails with a Microsoft Word attachment exploiting the recently patched CVE-2017-0199 to deploy the ZeroT Trojan , which in turn downloaded the PlugX Remote Access Trojan ( RAT ) .' [/INST] [This:O, time:O, ,:O, however:O, ,:O, attackers:O, opportunistically:O, used:O, spear-phishing:B-Way, emails:I-Way, with:O, a:O, Microsoft:B-SamFile, Word:I-SamFile, attachment:I-SamFile, exploiting:O, the:O, recently:O, patched:O, CVE-2017-0199:B-Exp, to:O, deploy:O, the:O, ZeroT:B-Tool, Trojan:I-Tool, ,:O, which:O, in:O, turn:O, downloaded:O, the:O, PlugX:B-Tool, Remote:I-Tool, Access:I-Tool, Trojan:I-Tool, (:O, RAT:B-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: 'TA549 possesses a diverse malware arsenal including PlugX , NetTraveler , and ZeroT .' [/INST] [TA549:B-HackOrg, possesses:O, a:O, diverse:O, malware:O, arsenal:O, including:O, PlugX:B-Tool, ,:O, NetTraveler:B-Tool, ,:O, and:O, ZeroT: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: 'TA459 is well-known for targeting organizations in Russia and neighboring countries .' [/INST] [TA459:B-HackOrg, is:O, well-known:O, for:O, targeting:O, organizations:O, in:O, Russia:O, and:O, neighboring:O, countries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ongoing activity from attack groups like TA459 who consistently target individuals specializing in particular areas of research and expertise further complicate an already difficult security situation for organizations dealing with more traditional malware threats , phishing campaigns , and socially engineered threats every day .' [/INST] [Ongoing:O, activity:B-OffAct, from:O, attack:O, groups:O, like:O, TA459:B-HackOrg, who:O, consistently:O, target:O, individuals:O, specializing:O, in:O, particular:O, areas:O, of:O, research:O, and:O, expertise:O, further:O, complicate:O, an:O, already:O, difficult:O, security:O, situation:O, for:O, organizations:O, dealing:O, with:O, more:O, traditional:O, malware:O, threats:O, ,:O, phishing:B-OffAct, campaigns:I-OffAct, ,:O, and:O, socially:O, engineered:O, threats:O, every:O, day:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 data collected from the Trend Micro™ Smart Protection Network , we are able to identify victims whose networks communicated with Taidoor C&C servers .' [/INST] [Using:O, data:O, collected:O, from:O, the:O, Trend:B-SecTeam, Micro™:I-SecTeam, Smart:I-SecTeam, Protection:I-SecTeam, Network:I-SecTeam, ,:O, we:O, are:O, able:O, to:O, identify:O, victims:O, whose:O, networks:O, communicated:O, with:O, Taidoor:B-Tool, C&C:I-Tool, servers:I-Tool, .:O] </s> |
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