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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: 'Scrub and verify all administrator accounts regularly .' [/INST] [Scrub:O, and:O, verify:O, all:O, administrator:O, accounts:O, regularly:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Configure Group Policy to restrict all users to only one login session , where possible .' [/INST] [Configure:O, Group:O, Policy:O, to:O, restrict:O, all:O, users:O, to:O, only:O, one:O, login:O, session:O, ,:O, where:O, possible:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Enforce secure network authentication , where possible .' [/INST] [Enforce:O, secure:O, network:O, authentication:O, ,:O, where:O, possible:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Instruct administrators to use non-privileged accounts for standard functions such as web browsing or checking webmail .' [/INST] [Instruct:O, administrators:O, to:O, use:O, non-privileged:O, accounts:O, for:O, standard:O, functions:O, such:O, as:O, web:O, browsing:O, or:O, checking:O, webmail:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Segment networks into logical enclaves and restrict host-to-host communication paths .' [/INST] [Segment:O, networks:O, into:O, logical:O, enclaves:O, and:O, restrict:O, host-to-host:O, communication:O, paths:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Containment provided by enclaving also makes incident cleanup significantly less costly .' [/INST] [Containment:O, provided:O, by:O, enclaving:O, also:O, makes:O, incident:O, cleanup:O, significantly:O, less:O, costly:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Configure firewalls to disallow Remote Desktop Protocol ( RDP ) traffic coming from outside of the network boundary , except for in specific configurations such as when tunneled through a secondary virtual private network ( VPN ) with lower privileges .' [/INST] [Configure:O, firewalls:O, to:O, disallow:O, Remote:B-PROT, Desktop:I-PROT, Protocol:E-PROT, (:O, RDP:S-PROT, ):O, traffic:O, coming:O, from:O, outside:O, of:O, the:O, network:O, boundary:O, ,:O, except:O, for:O, in:O, specific:O, configurations:O, such:O, as:O, when:O, tunneled:O, through:O, a:O, secondary:O, virtual:B-TOOL, private:I-TOOL, network:E-TOOL, (:O, VPN:S-TOOL, ):O, with:O, lower:O, privileges:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Audit existing firewall rules and close all ports that are not explicitly needed for business .' [/INST] [Audit:O, existing:O, firewall:S-TOOL, rules:O, and:O, close:O, all:O, ports:O, that:O, are:O, not:O, explicitly:O, needed:O, for:O, business:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , carefully consider which ports should be connecting outbound versus inbound .' [/INST] [Specifically:O, ,:O, carefully:O, consider:O, which:O, ports:O, should:O, be:O, connecting:O, outbound:O, versus:O, inbound:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Enforce a strict lockout policy for network users and closely monitor logs for failed login activity .' [/INST] [Enforce:O, a:O, strict:O, lockout:O, policy:O, for:O, network:O, users:O, and:O, closely:O, monitor:O, logs:O, for:O, failed:O, login:O, activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Failed login activity can be indicative of failed intrusion activity .' [/INST] [Failed:O, login:O, activity:O, can:O, be:O, indicative:O, of:O, failed:O, intrusion:O, activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If remote access between zones is an unavoidable business need , log and monitor these connections closely .' [/INST] [If:O, remote:O, access:O, between:O, zones:O, is:O, an:O, unavoidable:O, business:O, need:O, ,:O, log:O, and:O, monitor:O, these:O, connections:O, closely:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 environments with a high risk of interception or intrusion , organizations should consider supplementing password authentication with other forms of authentication such as challenge/response or multifactor authentication using biometric or physical tokens .' [/INST] [In:O, environments:O, with:O, a:O, high:O, risk:O, of:O, interception:O, or:O, intrusion:O, ,:O, organizations:O, should:O, consider:O, supplementing:O, password:O, authentication:O, with:O, other:O, forms:O, of:O, authentication:O, such:O, as:O, challenge/response:O, or:O, multifactor:O, authentication:O, using:O, biometric:O, or:O, physical:O, tokens:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'System operators should follow these secure logging practices .' [/INST] [System:O, operators:O, should:O, follow:O, these:O, secure:O, logging:O, practices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ensure event logging , including applications , events , login activities , and security attributes , is turned on or monitored for identification of security issues .' [/INST] [Ensure:O, event:O, logging:O, ,:O, including:O, applications:O, ,:O, events:O, ,:O, login:O, activities:O, ,:O, and:O, security:O, attributes:O, ,:O, is:O, turned:O, on:O, or:O, monitored:O, for:O, identification:O, of:O, security:O, issues:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Configure network logs to provide adequate information to assist in quickly developing an accurate determination of a security incident .' [/INST] [Configure:O, network:O, logs:O, to:O, provide:O, adequate:O, information:O, to:O, assist:O, in:O, quickly:O, developing:O, an:O, accurate:O, determination:O, of:O, a:O, security:O, incident:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Upgrade PowerShell to new versions with enhanced logging features and monitor the logs to detect usage of PowerShell commands , which are often malware-related .' [/INST] [Upgrade:O, PowerShell:S-TOOL, to:O, new:O, versions:O, with:O, enhanced:O, logging:O, features:O, and:O, monitor:O, the:O, logs:O, to:O, detect:O, usage:O, of:O, PowerShell:S-TOOL, commands:O, ,:O, which:O, are:O, often:O, malware-related:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Secure logs in a centralized location and protect them from modification .' [/INST] [Secure:O, logs:O, in:O, a:O, centralized:O, location:O, and:O, protect:O, them:O, from:O, modification:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Phantom of the Opaera :' [/INST] [Phantom:O, of:O, the:O, Opaera:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'New KASPERAGENT Malware Campaign .' [/INST] [New:O, KASPERAGENT:S-MAL, Malware:O, Campaign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ThreatConnect has identified a KASPERAGENT malware campaign leveraging decoy Palestinian Authority documents .' [/INST] [ThreatConnect:S-IDTY, has:O, identified:O, a:O, KASPERAGENT:S-MAL, malware:O, campaign:O, leveraging:O, decoy:O, Palestinian:B-IDTY, Authority:E-IDTY, documents:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 samples date from April β May 2017 , coinciding with the run up to the May 2017 Palestinian Authority elections .' [/INST] [The:O, samples:O, date:O, from:O, April:B-TIME, β:I-TIME, May:I-TIME, 2017:E-TIME, ,:O, coinciding:O, with:O, the:O, run:O, up:O, to:O, the:O, May:B-TIME, 2017:E-TIME, Palestinian:B-IDTY, Authority:E-IDTY, elections:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Although we do not know who is behind the campaign , the decoy documents β content focuses on timely political issues in Gaza and the IP address hosting the campaign βs command and control node hosts several other domains with Gaza registrants .' [/INST] [Although:O, we:O, do:O, not:O, know:O, who:O, is:O, behind:O, the:O, campaign:O, ,:O, the:O, decoy:O, documents:O, β:O, content:O, focuses:O, on:O, timely:O, political:O, issues:O, in:O, Gaza:S-LOC, and:O, the:O, IP:O, address:O, hosting:O, the:O, campaign:O, βs:O, command:O, and:O, control:O, node:O, hosts:O, several:O, other:O, domains:O, with:O, Gaza:S-LOC, registrants:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 blog post we will detail our analysis of the malware and associated indicators , look closely at the decoy files , and leverage available information to make an educated guess on the possible intended target .' [/INST] [In:O, this:O, blog:O, post:O, we:O, will:O, detail:O, our:O, analysis:O, of:O, the:O, malware:O, and:O, associated:O, indicators:O, ,:O, look:O, closely:O, at:O, the:O, decoy:O, files:O, ,:O, and:O, leverage:O, available:O, information:O, to:O, make:O, an:O, educated:O, guess:O, on:O, the:O, possible:O, intended:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Associated indicators and screenshots of the decoy documents are all available here in the ThreatConnect platform .' [/INST] [Associated:O, indicators:O, and:O, screenshots:O, of:O, the:O, decoy:O, documents:O, are:O, all:O, available:O, here:O, in:O, the:O, ThreatConnect:S-SECTEAM, platform:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Some of the indicators in the following post were published on AlienVault OTX on 6/13 .' [/INST] [Some:O, of:O, the:O, indicators:O, in:O, the:O, following:O, post:O, were:O, published:O, on:O, AlienVault:S-IDTY, OTX:O, on:O, 6/13:S-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: 'KASPERAGENT is Microsoft Windows malware used in efforts targeting users in the United States , Israel , Palestinian Territories , and Egypt since July 2015 .' [/INST] [KASPERAGENT:S-MAL, is:O, Microsoft:S-IDTY, Windows:S-OS, malware:O, used:O, in:O, efforts:O, targeting:O, users:O, in:O, the:O, United:B-LOC, States:E-LOC, ,:O, Israel:S-LOC, ,:O, Palestinian:B-LOC, Territories:E-LOC, ,:O, and:O, Egypt:S-LOC, since:O, July:B-TIME, 2015:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware was discovered by Palo Alto Networks Unit 42 and ClearSky Cyber Security , and publicized in April 2017 in the Targeted Attacks in the Middle East Using KASPERAGENT and MICROPSIA blog .' [/INST] [The:O, malware:O, was:O, discovered:O, by:O, Palo:B-IDTY, Alto:I-IDTY, Networks:E-IDTY, Unit:B-SECTEAM, 42:E-SECTEAM, and:O, ClearSky:B-IDTY, Cyber:I-IDTY, Security:E-IDTY, ,:O, and:O, publicized:O, in:O, April:B-TIME, 2017:E-TIME, in:O, the:O, Targeted:B-ACT, Attacks:E-ACT, in:O, the:O, Middle:B-LOC, East:E-LOC, Using:O, KASPERAGENT:S-MAL, and:O, MICROPSIA:S-MAL, blog:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 called KASPERAGENT based on PDB strings identified in the malware such as β c : UsersUSADocumentsVisual Studio 2008ProjectsNew folder ( 2 ) kasperReleasekasper.pdb β .' [/INST] [It:O, is:O, called:O, KASPERAGENT:S-MAL, based:O, on:O, PDB:O, strings:O, identified:O, in:O, the:O, malware:O, such:O, as:O, β:O, c:B-FILE, ::I-FILE, UsersUSADocumentsVisual:I-FILE, Studio:I-FILE, 2008ProjectsNew:I-FILE, folder:I-FILE, (:I-FILE, 2:I-FILE, ):I-FILE, kasperReleasekasper.pdb:E-FILE, β:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat actors used shortened URLs in spear phishing messages and fake news websites to direct targets to download KASPERAGENT .' [/INST] [The:O, threat:O, actors:O, used:O, shortened:O, URLs:O, in:O, spear:B-ACT, phishing:E-ACT, messages:O, and:O, fake:O, news:O, websites:O, to:O, direct:O, targets:O, to:O, download:O, KASPERAGENT:S-MAL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Upon execution , KASPERAGENT drops the payload and a decoy document that displays Arabic names and ID numbers .' [/INST] [Upon:O, execution:O, ,:O, KASPERAGENT:S-MAL, drops:O, the:O, payload:O, and:O, a:O, decoy:O, document:O, that:O, displays:O, Arabic:O, names:O, and:O, ID:O, numbers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malware establishes persistence and sends HTTP requests to the command and control domain mailsinfo.net .' [/INST] [The:O, malware:O, establishes:O, persistence:O, and:O, sends:O, HTTP:S-PROT, requests:O, to:O, the:O, command:O, and:O, control:O, domain:O, mailsinfo.net:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Of note , the callbacks were to PHP scripts that included / dad5 / in the URLs .' [/INST] [Of:O, note:O, ,:O, the:O, callbacks:O, were:O, to:O, PHP:O, scripts:O, that:O, included:O, /:O, dad5:O, /:O, in:O, the:O, URLs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 samples of the malware reportedly function as a basic reconnaissance tool and downloader .' [/INST] [Most:O, samples:O, of:O, the:O, malware:O, reportedly:O, function:O, as:O, a:O, basic:O, reconnaissance:O, tool:O, and:O, downloader:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , some of the recently identified files display β extended-capability β' [/INST] [However:O, ,:O, some:O, of:O, the:O, recently:O, identified:O, files:O, display:O, β:O, extended-capability:O, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'including the functionality to steal passwords , take screenshots , log keystrokes , and steal files .' [/INST] [including:O, the:O, functionality:O, to:O, steal:O, passwords:O, ,:O, take:O, screenshots:O, ,:O, log:O, keystrokes:O, ,:O, and:O, steal:O, files:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These β extended-capability β' [/INST] [These:O, β:O, extended-capability:O, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'samples called out to an additional command and control domain , stikerscloud.com .' [/INST] [samples:O, called:O, out:O, to:O, an:O, additional:O, command:O, and:O, control:O, domain:O, ,:O, stikerscloud.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , early variants of KASPERAGENT used β Chrome β' [/INST] [Additionally:O, ,:O, early:O, variants:O, of:O, KASPERAGENT:S-MAL, used:O, β:O, Chrome:S-TOOL, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the user agent , while more recent samples use β OPAERA β' [/INST] [as:O, the:O, user:O, agent:O, ,:O, while:O, more:O, recent:O, samples:O, use:O, β:O, OPAERA:O, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'β a possible misspelling of the β Opera β' [/INST] [β:O, a:O, possible:O, misspelling:O, of:O, the:O, β:O, Opera:S-TOOL, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'β browser .' [/INST] [β:O, browser:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 indicators associated with the blog article are available in the ThreatConnect Technical Blogs and Reports source here .' [/INST] [The:O, indicators:O, associated:O, with:O, the:O, blog:O, article:O, are:O, available:O, in:O, the:O, ThreatConnect:S-IDTY, Technical:O, Blogs:O, and:O, Reports:O, source:O, here:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 samples we identified leverage the same user agent string β OPAERA β' [/INST] [The:O, samples:O, we:O, identified:O, leverage:O, the:O, same:O, user:O, agent:O, string:O, β:O, OPAERA:O, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ', included the kasper PDB string reported by Unit 42 , and used similar POST and GET requests .' [/INST] [,:O, included:O, the:O, kasper:O, PDB:O, string:O, reported:O, by:O, Unit:B-SECTEAM, 42:E-SECTEAM, ,:O, and:O, used:O, similar:O, POST:O, and:O, GET:O, requests:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 command and control domains were different , and these samples used unique decoy documents to target their victims .' [/INST] [The:O, command:O, and:O, control:O, domains:O, were:O, different:O, ,:O, and:O, these:O, samples:O, used:O, unique:O, decoy:O, documents:O, to:O, target:O, their:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We didnβt start out looking for KASPERAGENT , but a file hit on one of our YARA rules for an executable designed to display a fake XLS icon β one way adversaries attempt to trick targets into thinking a malicious file is innocuous .' [/INST] [We:O, didnβt:O, start:O, out:O, looking:O, for:O, KASPERAGENT:S-MAL, ,:O, but:O, a:O, file:O, hit:O, on:O, one:O, of:O, our:O, YARA:O, rules:O, for:O, an:O, executable:O, designed:O, to:O, display:O, a:O, fake:O, XLS:O, icon:O, β:O, one:O, way:O, adversaries:O, attempt:O, to:O, trick:O, targets:O, into:O, thinking:O, a:O, malicious:O, file:O, is:O, innocuous:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malicious sample we identified ( 6843AE9EAC03F69DF301D024BFDEFC88 ) had the file name β testproj.exe β' [/INST] [The:O, first:O, malicious:O, sample:O, we:O, identified:O, (:O, 6843AE9EAC03F69DF301D024BFDEFC88:S-MD5, ):O, had:O, the:O, file:O, name:O, β:O, testproj.exe:S-FILE, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'and was identified within an archive file ( 4FE7561F63A71CA73C26CB95B28EAEE8 ) with the name β Ψ§ΩΨͺΩΨ§Ψ΅ΩΩ Ψ§ΩΩΨ§Ω
ΩΨ© ΩΨ£ΨΊΨͺΩΨ§Ω ΩΩΩΨ§Ψ‘.r24 β .' [/INST] [and:O, was:O, identified:O, within:O, an:O, archive:O, file:O, (:O, 4FE7561F63A71CA73C26CB95B28EAEE8:S-MD5, ):O, with:O, the:O, name:O, β:O, Ψ§ΩΨͺΩΨ§Ψ΅ΩΩ:B-FILE, Ψ§ΩΩΨ§Ω
ΩΨ©:I-FILE, ΩΨ£ΨΊΨͺΩΨ§Ω:I-FILE, ΩΩΩΨ§Ψ‘.r24:E-FILE, β:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 translates to β The Complete Details of Fuqaha βs Assassination β' [/INST] [This:O, translates:O, to:O, β:O, The:O, Complete:O, Details:O, of:O, Fuqaha:O, βs:O, Assassination:O, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ', a reference to Hamas military leader Mazen Fuqaha who was assassinated on March 24 , 2017 .' [/INST] [,:O, a:O, reference:O, to:O, Hamas:S-IDTY, military:O, leader:O, Mazen:O, Fuqaha:O, who:O, was:O, assassinated:O, on:O, March:B-TIME, 24:I-TIME, ,:I-TIME, 2017:E-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: 'We detonated the file in VxStream βs automated malware analysis capability and found testproj.exe dropped a benign Microsoft Word document that pulls a jpg file from treestower.com .' [/INST] [We:O, detonated:O, the:O, file:O, in:O, VxStream:S-TOOL, βs:O, automated:O, malware:O, analysis:O, capability:O, and:O, found:O, testproj.exe:S-FILE, dropped:O, a:O, benign:O, Microsoft:S-IDTY, Word:S-TOOL, document:O, that:O, pulls:O, a:O, jpg:O, file:O, from:O, treestower.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Malwr.com observed this site in association with another sample that called out to mailsinfo.net β a host identified in the Targeted Attacks in the Middle East Using KASPERAGENT and MICROPSIA blog .' [/INST] [Malwr.com:S-DOM, observed:O, this:O, site:O, in:O, association:O, with:O, another:O, sample:O, that:O, called:O, out:O, to:O, mailsinfo.net:S-DOM, β:O, a:O, host:O, identified:O, in:O, the:O, Targeted:B-ACT, Attacks:E-ACT, in:O, the:O, Middle:B-LOC, East:E-LOC, Using:O, KASPERAGENT:S-MAL, and:O, MICROPSIA:S-MAL, blog:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'That was our first hint that we were looking at KASPERAGENT .' [/INST] [That:O, was:O, our:O, first:O, hint:O, that:O, we:O, were:O, looking:O, at:O, KASPERAGENT:S-MAL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 jpg pulled from treestower.com displays a graphic picture of a dead man , which also appeared on a Palestinian news website discussing the death of Hamas military leader Mazen Fuqaha .' [/INST] [The:O, jpg:O, pulled:O, from:O, treestower.com:S-DOM, displays:O, a:O, graphic:O, picture:O, of:O, a:O, dead:O, man:O, ,:O, which:O, also:O, appeared:O, on:O, a:O, Palestinian:O, news:O, website:O, discussing:O, the:O, death:O, of:O, Hamas:S-IDTY, military:O, leader:O, Mazen:O, Fuqaha:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A separate malicious executable β 2DE25306A58D8A5B6CBE8D5E2FC5F3C5 ( vlc.exe ) β runs when the photograph is displayed , using the YouTube icon and calling out to several URLs on windowsnewupdates.com .' [/INST] [A:O, separate:O, malicious:O, executable:O, β:O, 2DE25306A58D8A5B6CBE8D5E2FC5F3C5:S-MD5, (:O, vlc.exe:S-FILE, ):O, β:O, runs:O, when:O, the:O, photograph:O, is:O, displayed:O, ,:O, using:O, the:O, YouTube:B-TOOL, icon:E-TOOL, and:O, calling:O, out:O, to:O, several:O, URLs:O, on:O, windowsnewupdates.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 host was registered in late March and appears to be unique to this campaign .' [/INST] [This:O, host:O, was:O, registered:O, in:O, late:B-TIME, March:E-TIME, and:O, appears:O, to:O, be:O, unique:O, to:O, this:O, campaign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With our interest piqued , we pivoted on the import hashes ( also known as an imphash ) , which captures the import table of a given file .' [/INST] [With:O, our:O, interest:O, piqued:O, ,:O, we:O, pivoted:O, on:O, the:O, import:O, hashes:O, (:O, also:O, known:O, as:O, an:O, imphash:O, ):O, ,:O, which:O, captures:O, the:O, import:O, table:O, of:O, a:O, given:O, file:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Shared import hashes across multiple files would likely identify files that are part of the same malware family .' [/INST] [Shared:O, import:O, hashes:O, across:O, multiple:O, files:O, would:O, likely:O, identify:O, files:O, that:O, are:O, part:O, of:O, the:O, same:O, malware:O, family:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We found nine additional samples sharing the imphash values for the two executables , C66F88D2D76D79210D568D7AD7896B45 and DCF3AA484253068D8833C7C5B019B07 .' [/INST] [We:O, found:O, nine:O, additional:O, samples:O, sharing:O, the:O, imphash:O, values:O, for:O, the:O, two:O, executables:O, ,:O, C66F88D2D76D79210D568D7AD7896B45:S-MD5, and:O, DCF3AA484253068D8833C7C5B019B07:S-MD5, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Analysis of those files uncovered two more imphashes , 0B4E44256788783634A2B1DADF4F9784 and E44F0BD2ADFB9CBCABCAD314D27ACCFC , for a total of 20 malicious files .' [/INST] [Analysis:O, of:O, those:O, files:O, uncovered:O, two:O, more:O, imphashes:O, ,:O, 0B4E44256788783634A2B1DADF4F9784:S-MD5, and:O, E44F0BD2ADFB9CBCABCAD314D27ACCFC:S-MD5, ,:O, for:O, a:O, total:O, of:O, 20:O, malicious:O, files:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These additional samples behaved similarly to the initial files ;' [/INST] [These:O, additional:O, samples:O, behaved:O, similarly:O, to:O, the:O, initial:O, files:O, ;:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'testproj.exe dropped benign decoy files and started malicious executables .' [/INST] [testproj.exe:S-FILE, dropped:O, benign:O, decoy:O, files:O, and:O, started:O, malicious:O, executables:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malicious executables all called out to the same URLs on windowsnewupdates.com .' [/INST] [The:O, malicious:O, executables:O, all:O, called:O, out:O, to:O, the:O, same:O, URLs:O, on:O, windowsnewupdates.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malware samples leverage the user agent string β OPAERA β , the same one identified in the Targeted Attacks in the Middle East Using KASPERAGENT and MICROPSIA blog .' [/INST] [These:O, malware:O, samples:O, leverage:O, the:O, user:O, agent:O, string:O, β:O, OPAERA:O, β:O, ,:O, the:O, same:O, one:O, identified:O, in:O, the:O, Targeted:B-ACT, Attacks:E-ACT, in:O, the:O, Middle:B-LOC, East:E-LOC, Using:O, KASPERAGENT:S-MAL, and:O, MICROPSIA:S-MAL, blog:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Although the command and control domain was different from those in the report , the POST and GET requests were similar and included / dad5 / in the URL string .' [/INST] [Although:O, the:O, command:O, and:O, control:O, domain:O, was:O, different:O, from:O, those:O, in:O, the:O, report:O, ,:O, the:O, POST:O, and:O, GET:O, requests:O, were:O, similar:O, and:O, included:O, /:O, dad5:O, /:O, in:O, the:O, URL:O, string:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition , the malware samples included the kasper PDB string reported by Unit 42 , prompting us to conclude that we were likely looking at new variants of KASPERAGENT .' [/INST] [In:O, addition:O, ,:O, the:O, malware:O, samples:O, included:O, the:O, kasper:O, PDB:O, string:O, reported:O, by:O, Unit:B-SECTEAM, 42:E-SECTEAM, ,:O, prompting:O, us:O, to:O, conclude:O, that:O, we:O, were:O, likely:O, looking:O, at:O, new:O, variants:O, of:O, KASPERAGENT:S-MAL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Several of the decoy files appeared to be official documents associated with the Palestinian Authority β the body that governs the Palestinian Territories in the Middle East .' [/INST] [Several:O, of:O, the:O, decoy:O, files:O, appeared:O, to:O, be:O, official:O, documents:O, associated:O, with:O, the:O, Palestinian:B-IDTY, Authority:E-IDTY, β:O, the:O, body:O, that:O, governs:O, the:O, Palestinian:B-LOC, Territories:E-LOC, in:O, the:O, Middle:B-LOC, East:E-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 do not know whether the files are legitimate Palestinian Authority documents , but they are designed to look official .' [/INST] [We:O, do:O, not:O, know:O, whether:O, the:O, files:O, are:O, legitimate:O, Palestinian:B-IDTY, Authority:E-IDTY, documents:O, ,:O, but:O, they:O, are:O, designed:O, to:O, look:O, official:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , most of the decoy files are publicly available on news websites or social media .' [/INST] [Additionally:O, ,:O, most:O, of:O, the:O, decoy:O, files:O, are:O, publicly:O, available:O, on:O, news:O, websites:O, or:O, social:O, media:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 document β dated April 10 , 2017 β is marked β Very Secret β' [/INST] [The:O, first:O, document:O, β:O, dated:O, April:B-TIME, 10:I-TIME, ,:I-TIME, 2017:E-TIME, β:O, is:O, marked:O, β:O, Very:O, Secret:O, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'and addressed to Yahya Al-Sinwar , who Hamas elected as its leader in Gaza in February 2017 .' [/INST] [and:O, addressed:O, to:O, Yahya:O, Al-Sinwar:O, ,:O, who:O, Hamas:S-IDTY, elected:O, as:O, its:O, leader:O, in:O, Gaza:S-LOC, in:O, February:B-TIME, 2017:E-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: 'Like the photo displayed in the first decoy file we found , this document references the death of Mazen Fuqaha .' [/INST] [Like:O, the:O, photo:O, displayed:O, in:O, the:O, first:O, decoy:O, file:O, we:O, found:O, ,:O, this:O, document:O, references:O, the:O, death:O, of:O, Mazen:O, Fuqaha:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Arabic-language text and English translation of the document are available in ThreatConnect here .' [/INST] [The:O, Arabic-language:O, text:O, and:O, English:O, translation:O, of:O, the:O, document:O, are:O, available:O, in:O, ThreatConnect:S-IDTY, here:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A screenshot of the file is depicted below .' [/INST] [A:O, screenshot:O, of:O, the:O, file:O, is:O, depicted:O, below:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The second legible file , dated April 23 , has the same letterhead and also is addressed to Yahya al-Sinwar .' [/INST] [The:O, second:O, legible:O, file:O, ,:O, dated:O, April:B-TIME, 23:E-TIME, ,:O, has:O, the:O, same:O, letterhead:O, and:O, also:O, is:O, addressed:O, to:O, Yahya:O, al-Sinwar:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 file discusses the supposed announcement banning the rival Fatah political party , which controls the West Bank , from Gaza .' [/INST] [This:O, file:O, discusses:O, the:O, supposed:O, announcement:O, banning:O, the:O, rival:O, Fatah:S-IDTY, political:O, party:O, ,:O, which:O, controls:O, the:O, West:B-LOC, Bank:E-LOC, ,:O, from:O, Gaza:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 mentions closing the Fatah headquarters and houses that were identified as meeting places as well as the arrest of some members of the party .' [/INST] [It:O, mentions:O, closing:O, the:O, Fatah:S-IDTY, headquarters:O, and:O, houses:O, that:O, were:O, identified:O, as:O, meeting:O, places:O, as:O, well:O, as:O, the:O, arrest:O, of:O, some:O, members:O, of:O, the:O, party:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 donβt know for sure who is responsible for this campaign , but digging into the passive DNS results led us to some breadcrumbs .' [/INST] [We:O, donβt:O, know:O, for:O, sure:O, who:O, is:O, responsible:O, for:O, this:O, campaign:O, ,:O, but:O, digging:O, into:O, the:O, passive:O, DNS:S-PROT, results:O, led:O, us:O, to:O, some:O, breadcrumbs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Starting with 195.154.110.237 , the IP address which is hosting the command and control domain windowsnewupdates.com , we found that the host is on a dedicated server .' [/INST] [Starting:O, with:O, 195.154.110.237:S-IP, ,:O, the:O, IP:O, address:O, which:O, is:O, hosting:O, the:O, command:O, and:O, control:O, domain:O, windowsnewupdates.com:S-DOM, ,:O, we:O, found:O, that:O, the:O, host:O, is:O, on:O, a:O, dedicated: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: 'Using our Farsight DNSDB integration , we identified other domains currently and previously hosted on the same IP .' [/INST] [Using:O, our:O, Farsight:S-IDTY, DNSDB:S-TOOL, integration:O, ,:O, we:O, identified:O, other:O, domains:O, currently:O, and:O, previously:O, hosted:O, on:O, the:O, same:O, IP:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Two of the four domains that have been hosted at this IP since 2016 β upfile2box.com and 7aga.net β were registered by a freelance web developer in Gaza , Palestine .' [/INST] [Two:O, of:O, the:O, four:O, domains:O, that:O, have:O, been:O, hosted:O, at:O, this:O, IP:O, since:O, 2016:S-TIME, β:O, upfile2box.com:S-DOM, and:O, 7aga.net:S-DOM, β:O, were:O, registered:O, by:O, a:O, freelance:O, web:O, developer:O, in:O, Gaza:B-LOC, ,:I-LOC, Palestine:E-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 IP has been used to host a small number of domains , some of which were registered by the same actor , suggesting the IP is dedicated for a single individual or group βs use .' [/INST] [This:O, IP:O, has:O, been:O, used:O, to:O, host:O, a:O, small:O, number:O, of:O, domains:O, ,:O, some:O, of:O, which:O, were:O, registered:O, by:O, the:O, same:O, actor:O, ,:O, suggesting:O, the:O, IP:O, is:O, dedicated:O, for:O, a:O, single:O, individual:O, or:O, group:O, βs:O, use:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While not conclusive , it is intriguing that the same IP was observed hosting a domain ostensibly registered in Gaza AND the command and control domain associated with a series of targeted attacks leveraging Palestinian Authority -themed decoy documents referencing Gaza .' [/INST] [While:O, not:O, conclusive:O, ,:O, it:O, is:O, intriguing:O, that:O, the:O, same:O, IP:O, was:O, observed:O, hosting:O, a:O, domain:O, ostensibly:O, registered:O, in:O, Gaza:S-LOC, AND:O, the:O, command:O, and:O, control:O, domain:O, associated:O, with:O, a:O, series:O, of:O, targeted:O, attacks:O, leveraging:O, Palestinian:B-IDTY, Authority:E-IDTY, -themed:O, decoy:O, documents:O, referencing:O, Gaza:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Just like we canβt make a definitive determination as to who conducted this campaign , we do not know for sure who it was intended to target .' [/INST] [Just:O, like:O, we:O, canβt:O, make:O, a:O, definitive:O, determination:O, as:O, to:O, who:O, conducted:O, this:O, campaign:O, ,:O, we:O, do:O, not:O, know:O, for:O, sure:O, who:O, it:O, was:O, intended:O, to:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'What we do know is that several of the malicious files were submitted to a public malware analysis site from the Palestinian Territories .' [/INST] [What:O, we:O, do:O, know:O, is:O, that:O, several:O, of:O, the:O, malicious:O, files:O, were:O, submitted:O, to:O, a:O, public:O, malware:O, analysis:O, site:O, from:O, the:O, Palestinian:B-LOC, Territories:E-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 tells us that it is possible either the threat actors or at least one of the targets is located in that area .' [/INST] [This:O, tells:O, us:O, that:O, it:O, is:O, possible:O, either:O, the:O, threat:O, actors:O, or:O, at:O, least:O, one:O, of:O, the:O, targets:O, is:O, located:O, in:O, that:O, area:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , as previously mentioned , the decoy document subject matter would likely be of interest to a few different potential targets in the Palestinian Territories .' [/INST] [Additionally:O, ,:O, as:O, previously:O, mentioned:O, ,:O, the:O, decoy:O, document:O, subject:O, matter:O, would:O, likely:O, be:O, of:O, interest:O, to:O, a:O, few:O, different:O, potential:O, targets:O, in:O, the:O, Palestinian:B-LOC, Territories:E-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Potential targets such as Hamas who controls the Gaza strip and counts Mazen Fuqaha and Yahya al-Sinwar as members , Israel which is accused of involvement in the assassination of Mazen Fuqaha , and the Fatah party of which the Prime Minister and President of the Palestinian Authority are members .' [/INST] [Potential:O, targets:O, such:O, as:O, Hamas:S-IDTY, who:O, controls:O, the:O, Gaza:S-LOC, strip:O, and:O, counts:O, Mazen:O, Fuqaha:O, and:O, Yahya:O, al-Sinwar:O, as:O, members:O, ,:O, Israel:S-LOC, which:O, is:O, accused:O, of:O, involvement:O, in:O, the:O, assassination:O, of:O, Mazen:O, Fuqaha:O, ,:O, and:O, the:O, Fatah:B-IDTY, party:E-IDTY, of:O, which:O, the:O, Prime:O, Minister:O, and:O, President:O, of:O, the:O, Palestinian:B-IDTY, Authority:E-IDTY, are:O, members:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The campaign corresponds with a period of heightened tension in Gaza .' [/INST] [The:O, campaign:O, corresponds:O, with:O, a:O, period:O, of:O, heightened:O, tension:O, in:O, Gaza:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Hamas , who has historically maintained control over the strip , elected Yahya al-Sinwar β a hardliner from its military wing β as its leader in February .' [/INST] [Hamas:S-IDTY, ,:O, who:O, has:O, historically:O, maintained:O, control:O, over:O, the:O, strip:O, ,:O, elected:O, Yahya:O, al-Sinwar:O, β:O, a:O, hardliner:O, from:O, its:O, military:O, wing:O, β:O, as:O, its:O, leader:O, in:O, February:S-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: 'A Humanitarian Bulletin published by the United Nations β Office for the Coordination of Humanitarian Affairs indicates in March 2017 ( just before the first malware samples associated with this campaign were identified in early April ) Hamas created β a parallel institution to run local ministries in Gaza , β' [/INST] [A:O, Humanitarian:O, Bulletin:O, published:O, by:O, the:O, United:B-IDTY, Nations:I-IDTY, β:I-IDTY, Office:E-IDTY, for:O, the:O, Coordination:B-IDTY, of:I-IDTY, Humanitarian:I-IDTY, Affairs:E-IDTY, indicates:O, in:O, March:B-TIME, 2017:E-TIME, (:O, just:O, before:O, the:O, first:O, malware:O, samples:O, associated:O, with:O, this:O, campaign:O, were:O, identified:O, in:O, early:O, April:S-TIME, ):O, Hamas:S-IDTY, created:O, β:O, a:O, parallel:O, institution:O, to:O, run:O, local:O, ministries:O, in:O, Gaza:S-LOC, ,:O, β:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'further straining the relationship between Hamas and the Palestinian Authority who governs the West Bank .' [/INST] [further:O, straining:O, the:O, relationship:O, between:O, Hamas:S-IDTY, and:O, the:O, Palestinian:B-IDTY, Authority:E-IDTY, who:O, governs:O, the:O, West:B-LOC, Bank:E-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 this announcement , the Palestinian Authority cut salaries for its employees in Gaza by 30 percent and informed Israel that it would no longer pay for electricity provided to Gaza causing blackouts throughout the area and escalating tensions between the rival groups .' [/INST] [After:O, this:O, announcement:O, ,:O, the:O, Palestinian:B-IDTY, Authority:E-IDTY, cut:O, salaries:O, for:O, its:O, employees:O, in:O, Gaza:S-LOC, by:O, 30:O, percent:O, and:O, informed:O, Israel:S-LOC, that:O, it:O, would:O, no:O, longer:O, pay:O, for:O, electricity:O, provided:O, to:O, Gaza:S-LOC, causing:O, blackouts:O, throughout:O, the:O, area:O, and:O, escalating:O, tensions:O, between:O, the:O, rival:O, groups:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Then , in early May ( two days after the last malware sample was submitted ) the Palestinian Authority held local elections in the West Bank which were reportedly seen as a test for the Fatah party .' [/INST] [Then:O, ,:O, in:O, early:O, May:S-TIME, (:O, two:O, days:O, after:O, the:O, last:O, malware:O, sample:O, was:O, submitted:O, ):O, the:O, Palestinian:B-IDTY, Authority:E-IDTY, held:O, local:O, elections:O, in:O, the:O, West:B-LOC, Bank:E-LOC, which:O, were:O, reportedly:O, seen:O, as:O, a:O, test:O, for:O, the:O, Fatah:B-IDTY, party:E-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Elections were not held in Gaza .' [/INST] [Elections:O, were:O, not:O, held:O, in:O, Gaza:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'All of that is to say , the decoy documents leveraged in this campaign would likely be relevant and of interest to a variety of targets in Israel and Palestine , consistent with previously identified KASPERAGENT targeting patterns .' [/INST] [All:O, of:O, that:O, is:O, to:O, say:O, ,:O, the:O, decoy:O, documents:O, leveraged:O, in:O, this:O, campaign:O, would:O, likely:O, be:O, relevant:O, and:O, of:O, interest:O, to:O, a:O, variety:O, of:O, targets:O, in:O, Israel:S-LOC, and:O, Palestine:S-LOC, ,:O, consistent:O, with:O, previously:O, identified:O, KASPERAGENT:S-MAL, targeting:O, patterns:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , the use of what appear to be carefully crafted documents at the very least designed to look like official government correspondence suggests the malware may have been intended for a government employee or contractor who would be interested in the documents β subject matter .' [/INST] [Additionally:O, ,:O, the:O, use:O, of:O, what:O, appear:O, to:O, be:O, carefully:O, crafted:O, documents:O, at:O, the:O, very:O, least:O, designed:O, to:O, look:O, like:O, official:O, government:O, correspondence:O, suggests:O, the:O, malware:O, may:O, have:O, been:O, intended:O, for:O, a:O, government:O, employee:O, or:O, contractor:O, who:O, would:O, be:O, interested:O, in:O, the:O, documents:O, β:O, subject:O, matter:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 : New Espionage Operations Target Military and Government Organizations .' [/INST] [APT28:S-APT, ::O, New:O, Espionage:O, Operations:O, Target:O, Military:B-IDTY, and:I-IDTY, Government:I-IDTY, Organizations:E-IDTY, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Recent campaigns see APT28 group return to covert intelligence gathering operations in Europe and South America .' [/INST] [Recent:O, campaigns:O, see:O, APT28:S-APT, group:O, return:O, to:O, covert:O, intelligence:O, gathering:O, operations:O, in:O, Europe:B-LOC, and:I-LOC, South:I-LOC, America:E-LOC, .:O] </s> |