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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: 'The following are the three files:Defender.sct – The malicious JavaScript based scriptlet file .' [/INST] [The:O, following:O, are:O, the:O, three:O, files:Defender.sct:B-SamFile, –:O, The:O, malicious:O, JavaScript:O, based:O, scriptlet:B-SamFile, file: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: 'FireEye observed a high volume of activity associated with the exploitation of CVE-2017-10271 following the public posting of proof of concept code in December 2017 .' [/INST] [FireEye:B-SecTeam, observed:O, a:O, high:O, volume:O, of:O, activity:O, associated:O, with:O, the:O, exploitation:O, of:O, CVE-2017-10271:B-Exp, following:O, the:O, public:O, posting:O, of:O, proof:O, of:O, concept:O, code:O, in:O, December: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: 'Users who failed to patch their systems may find themselves mining cryptocurrency for threat actors .' [/INST] [Users:B-Org, who:O, failed:O, to:O, patch:O, their:O, systems:O, may:O, find:O, themselves:O, mining:O, cryptocurrency:O, for:O, threat:O, actors: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 entry was posted on Tue Mar 13 12:15 EDT 2018 and filed under Yogesh Londhe , Dileep .' [/INST] [This:O, entry:O, was:O, posted:O, on:O, Tue:O, Mar:B-Time, 13:I-Time, 12:15:O, EDT:O, 2018:B-Time, and:O, filed:O, under:O, Yogesh:B-Org, Londhe:I-Org, ,:O, Dileep: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: 'If the lateral movement with credentials fails , then the malware uses PingCastle MS17-010 scanner (PingCastle is a French Active Directory security tool) to scan that particular host to determine if its vulnerable to EternalBlue , and uses it to spread to that host .' [/INST] [If:O, the:O, lateral:O, movement:O, with:O, credentials:O, fails:O, ,:O, then:O, the:O, malware:O, uses:O, PingCastle:B-Tool, MS17-010:I-Tool, scanner:O, (PingCastle:O, is:O, a:O, French:B-Area, Active:O, Directory:O, security:O, tool):O, to:O, scan:O, that:O, particular:O, host:O, to:O, determine:O, if:O, its:O, vulnerable:O, to:O, EternalBlue:B-Exp, ,:O, and:O, uses:O, it:O, to:O, spread:O, to:O, that:O, host:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Tactic #1: Delivering the miner directly to a vulnerable serverSome tactics we've observed involve exploiting CVE-2017-10271 , leveraging PowerShell to download the miner directly onto the victim’s system (Figure 1) , and executing it using ShellExecute() .' [/INST] [Tactic:O, #1::O, Delivering:O, the:O, miner:O, directly:O, to:O, a:O, vulnerable:O, serverSome:O, tactics:O, we've:O, observed:O, involve:O, exploiting:O, CVE-2017-10271:B-Exp, ,:O, leveraging:O, PowerShell:B-Tool, to:O, download:B-Purp, the:O, miner:O, directly:O, onto:O, the:O, victim’s:O, system:O, (Figure:O, 1):O, ,:O, and:O, executing:B-Way, it:O, using:B-Way, ShellExecute():I-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware checks whether its running on a 32-bit or 64-bit system to determine which PowerShell script to grab from the command and control (C2) server .' [/INST] [The:O, malware:O, checks:O, whether:O, its:O, running:O, on:O, a:O, 32-bit:O, or:O, 64-bit:O, system:O, to:O, determine:O, which:O, PowerShell:B-Tool, script:I-Tool, to:O, grab:B-Purp, from:I-Purp, the:O, command:O, and:O, control:O, (C2):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: 'Notably , cryptocurrency mining malware is being distributed using various tactics , typically in an opportunistic and indiscriminate manner so cyber criminals will maximize their outreach and profits .' [/INST] [Notably:O, ,:O, cryptocurrency:O, mining:O, malware:O, is:O, being:O, distributed:O, using:O, various:B-Tool, tactics:I-Tool, ,:O, typically:O, in:O, an:O, opportunistic:O, and:O, indiscriminate:O, manner:O, so:O, cyber:B-HackOrg, criminals:I-HackOrg, will:O, maximize:O, their:O, outreach:O, and:O, profits:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 all network derived IPs have been processed , the malware generates random IPs and uses the same combination of PingCastle and EternalBlue to spread to that host .' [/INST] [After:O, all:O, network:O, derived:O, IPs:O, have:O, been:O, processed:O, ,:O, the:O, malware:B-SamFile, generates:O, random:O, IPs:O, and:O, uses:O, the:O, same:O, combination:O, of:O, PingCastle:B-SamFile, and:O, EternalBlue:B-SamFile, to:O, spread:O, to:O, that:O, host:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'They have taken interest in subject matter of direct importance to the Democratic People's Republic of Korea (DPRK) such as Korean unification efforts and North Korean defectors .' [/INST] [They:B-HackOrg, have:O, taken:O, interest:O, in:O, subject:O, matter:O, of:O, direct:O, importance:O, to:O, the:O, Democratic:O, People's:O, Republic:O, of:O, Korea:B-Area, (DPRK):O, such:O, as:O, Korean:O, unification:O, efforts:O, and:O, North:B-Area, Korean:I-Area, defectors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We assess that the actors employing this latest Flash zero-day are a suspected North Korean group we track as TEMP.Reaper .' [/INST] [We:O, assess:O, that:O, the:O, actors:O, employing:O, this:O, latest:O, Flash:O, zero-day:B-Exp, are:O, a:O, suspected:O, North:B-Area, Korean:I-Area, group:O, we:O, track:O, as:O, TEMP.Reaper: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: 'Historically , the majority of their targeting has been focused on the South Korean government , military , and defense industrial base .' [/INST] [Historically:O, ,:O, the:O, majority:O, of:O, their:O, targeting:O, has:O, been:O, focused:O, on:O, the:O, South:B-Org, Korean:I-Org, government:I-Org, ,:O, military:B-Idus, ,:O, and:O, defense:B-Idus, industrial:O, base:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 have observed other suspected North Korean threat groups such as TEMP.Hermit employ wiper malware in disruptive attacks , we have not thus far observed TEMP.Reaper use their wiper malware actively against any targets .' [/INST] [While:O, we:O, have:O, observed:O, other:O, suspected:O, North:B-Area, Korean:I-Area, threat:O, groups:O, such:O, as:O, TEMP.Hermit:B-HackOrg, employ:O, wiper:O, malware:O, in:O, disruptive:O, attacks:O, ,:O, we:O, have:O, not:O, thus:O, far:O, observed:O, TEMP.Reaper:B-HackOrg, use:O, their:O, wiper:O, malware:O, actively:O, against:O, any:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the past year , FireEye iSIGHT Intelligence has discovered newly developed wiper malware being deployed by TEMP.Reaper , which we detect as RUHAPPY .' [/INST] [In:O, the:O, past:B-Time, year:I-Time, ,:O, FireEye:B-SecTeam, iSIGHT:I-SecTeam, Intelligence:O, has:O, discovered:O, newly:O, developed:O, wiper:O, malware:O, being:O, deployed:O, by:O, TEMP.Reaper:B-HackOrg, ,:O, which:O, we:O, detect:O, as:O, RUHAPPY:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Historically , the majority of their targeting has been focused on the South Korean government , military , and defense industrial base .' [/INST] [Historically:O, ,:O, the:O, majority:O, of:O, their:O, targeting:O, has:O, been:O, focused:O, on:O, the:O, South:B-Org, Korean:I-Org, government:I-Org, ,:O, military:B-Idus, ,:O, and:O, defense:B-Idus, industrial:O, base:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye products have robust detection for the malware used in this campaign .' [/INST] [FireEye:B-SecTeam, products:O, have:O, robust:O, detection:O, for:O, the:O, malware:O, used:O, in:O, this:O, campaign: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: 'TEMP.Periscope BackgroundActive since at least 2013 , TEMP.Periscope has primarily focused on maritime-related targets across multiple verticals , including engineering firms , shipping and transportation , manufacturing , defense , government offices , and research universities .' [/INST] [TEMP.Periscope:B-HackOrg, BackgroundActive:O, since:O, at:O, least:O, 2013:B-Time, ,:O, TEMP.Periscope:B-HackOrg, has:O, primarily:O, focused:O, on:O, maritime-related:B-Idus, targets:O, across:O, multiple:O, verticals:O, ,:O, including:O, engineering:B-Org, firms:I-Org, ,:O, shipping:B-Idus, and:O, transportation:B-Idus, ,:O, manufacturing:B-Idus, ,:O, defense:B-Idus, ,:O, government:B-Org, offices:O, ,:O, and:O, research:B-Org, universities: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: 'TEMP.Periscope BackgroundActive since at least 2013 , TEMP.Periscope has primarily focused on maritime-related targets across multiple verticals , including engineering firms , shipping and transportation , manufacturing , defense , government offices , and research universities .' [/INST] [TEMP.Periscope:B-HackOrg, BackgroundActive:O, since:O, at:O, least:O, 2013:B-Time, ,:O, TEMP.Periscope:B-HackOrg, has:O, primarily:O, focused:O, on:O, maritime-related:B-Idus, targets:O, across:O, multiple:O, verticals:O, ,:O, including:O, engineering:B-Org, firms:I-Org, ,:O, shipping:B-Idus, and:O, transportation:B-Idus, ,:O, manufacturing:B-Idus, ,:O, defense:B-Idus, ,:O, government:B-Org, offices:O, ,:O, and:O, research:B-Org, universities: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: 'Infection VectorWe have observed this recent wave of Zyklon malware being delivered primarily through spam emails .' [/INST] [Infection:O, VectorWe:O, have:O, observed:O, this:O, recent:O, wave:O, of:O, Zyklon:B-HackOrg, malware:O, being:O, delivered:B-Way, primarily:O, through:O, spam:B-Tool, emails: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: 'The document files exploit at least three known vulnerabilities in Microsoft Office , which we discuss in the Infection Techniques section .' [/INST] [The:O, document:B-SamFile, files:I-SamFile, exploit:O, at:O, least:O, three:O, known:O, vulnerabilities:B-Exp, in:O, Microsoft:O, Office:O, ,:O, which:O, we:O, discuss:O, in:O, the:O, Infection:O, Techniques:O, section:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 2: Zyklon attack flowInfection Techniques CVE-2017-8759 .' [/INST] [Figure:O, 2::O, Zyklon:B-HackOrg, attack:O, flowInfection:O, Techniques:O, CVE-2017-8759:B-Exp, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This vulnerability was discovered by FireEye in September 2017 , and it is a vulnerability we have observed being exploited in the wild .' [/INST] [This:O, vulnerability:B-Exp, was:O, discovered:O, by:O, FireEye:B-SecTeam, in:O, September:B-Time, 2017:I-Time, ,:O, and:O, it:O, is:O, a:O, vulnerability:O, we:O, have:O, observed:O, being:O, exploited:O, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We have observed this recent wave of Zyklon malware being delivered primarily through spam emails .' [/INST] [We:O, have:O, observed:O, this:O, recent:O, wave:O, of:O, Zyklon:B-HackOrg, malware:O, being:O, delivered:O, primarily:O, through:O, spam:B-Tool, emails: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: 'The malware may communicate with its command and control (C2) server over The Onion Router (Tor) network if configured to do so .' [/INST] [The:O, malware:B-SamFile, may:O, communicate:O, with:O, its:O, command:O, and:O, control:O, (C2):O, server:O, over:O, The:B-Way, Onion:I-Way, Router:I-Way, (Tor):O, network:O, if:O, configured:O, to:O, do:O, so:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 3: Embedded URL in OLE object CVE-2017-11882 Similarly , we have also observed actors leveraging another recently discovered vulnerability (CVE-2017-11882) in Microsoft Office .' [/INST] [Figure:O, 3::O, Embedded:O, URL:O, in:O, OLE:O, object:O, CVE-2017-11882:B-Exp, Similarly:O, ,:O, we:O, have:O, also:O, observed:O, actors:B-HackOrg, leveraging:O, another:O, recently:O, discovered:O, vulnerability:O, (CVE-2017-11882):B-Exp, in:O, Microsoft:O, Office:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 follows Stuxnet which was used against Iran in 2010 and Industroyer which we believe was deployed by Sandworm Team against Ukraine in 2016 .' [/INST] [It:O, follows:O, Stuxnet:O, which:O, was:O, used:O, against:O, Iran:B-Area, in:O, 2010:B-Time, and:O, Industroyer:O, which:O, we:O, believe:O, was:O, deployed:O, by:O, Sandworm:B-HackOrg, Team:O, against:O, Ukraine:B-Area, 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: 'Command & Control Communication The C2 communication of Zyklon is proxied through the Tor network .' [/INST] [Command:O, &:O, Control:O, Communication:O, The:O, C2:O, communication:O, of:O, Zyklon:B-HackOrg, is:O, proxied:O, through:O, the:O, Tor:B-Tool, network: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: 'At this time of writing , FireEye Multi Vector Execution (MVX) engine is able to recognize and block this threat .' [/INST] [At:O, this:O, time:O, of:O, writing:O, ,:O, FireEye:B-SecTeam, Multi:O, Vector:O, Execution:O, (MVX):B-Tool, engine:O, is:O, able:O, to:O, recognize:O, and:O, block:O, this:O, threat:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The targeting of critical infrastructure to disrupt , degrade , or destroy systems is consistent with numerous attack and reconnaissance activities carried out globally by Russian , Iranian , North Korean , U.S. , and Israeli nation state actors .' [/INST] [The:O, targeting:O, of:O, critical:B-Org, infrastructure:I-Org, to:O, disrupt:O, ,:O, degrade:O, ,:O, or:O, destroy:O, systems:O, is:O, consistent:O, with:O, numerous:O, attack:O, and:O, reconnaissance:B-OffAct, activities:I-OffAct, carried:O, out:O, globally:O, by:O, Russian:B-Area, ,:O, Iranian:B-Area, ,:O, North:B-Area, Korean:I-Area, ,:O, U.S.:B-Area, ,:O, and:O, Israeli:B-Area, nation:O, state:O, actors: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: 'Specifically , the following facts support this assessment: The attacker targeted the SIS suggesting an interest in causing a high-impact attack with physical consequences .' [/INST] [Specifically:O, ,:O, the:O, following:O, facts:O, support:O, this:O, assessment::O, The:O, attacker:B-HackOrg, targeted:O, the:O, SIS:B-Area, suggesting:O, an:O, interest:O, in:O, causing:O, a:O, high-impact:O, attack:O, with:O, physical:O, consequences:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , the attacker’s mission is to disrupt an operational process rather than steal data .' [/INST] [First:O, ,:O, the:O, attacker’s:B-HackOrg, mission:O, is:O, to:O, disrupt:B-Purp, an:O, operational:O, process:O, rather:O, than:O, steal:O, data:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 TRITON malware contained the capability to communicate with Triconex SIS controllers .' [/INST] [The:O, TRITON:B-Tool, malware:I-Tool, contained:O, the:O, capability:O, to:O, communicate:O, with:O, Triconex:O, SIS:B-Area, controllers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'the attacker did not leverage all of TRITON’s extensive reconnaissance capabilities .' [/INST] [the:O, attacker:B-HackOrg, did:O, not:O, leverage:O, all:O, of:O, TRITON’s:B-HackOrg, extensive:O, reconnaissance:O, capabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 is decrypted and injected into an instance of InstallUtiil.exe , and functions as a Tor anonymizer .' [/INST] [This:O, file:O, is:O, decrypted:O, and:O, injected:O, into:O, an:O, instance:O, of:O, InstallUtiil.exe:B-SamFile, ,:O, and:O, functions:O, as:O, a:O, Tor:B-SamFile, anonymizer: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: 'For instance , Russian operators , such as Sandworm Team , have compromised Western ICS over a multi-year period without causing a disruption .' [/INST] [For:O, instance:O, ,:O, Russian:B-Area, operators:O, ,:O, such:O, as:O, Sandworm:B-HackOrg, Team:O, ,:O, have:O, compromised:O, Western:B-Area, ICS:O, over:O, a:O, multi-year:O, period:O, without:O, causing:O, a:O, disruption:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 TRITON sample Mandiant analyzed added an attacker-provided program to the execution table of the Triconex controller .' [/INST] [The:O, TRITON:B-HackOrg, sample:O, Mandiant:B-SecTeam, analyzed:O, added:O, an:O, attacker-provided:O, program:O, to:O, the:O, execution:O, table:O, of:O, the:O, Triconex:B-Tool, controller: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: 'Along with the executable , two binary files , inject.bin (malicious function code) and imain.bin (malicious control logic) , were deployed as the controller’s payload .' [/INST] [Along:O, with:O, the:O, executable:O, ,:O, two:O, binary:B-SamFile, files:I-SamFile, ,:O, inject.bin:O, (malicious:O, function:O, code):O, and:O, imain.bin:B-SamFile, (malicious:O, control:O, logic):O, ,:O, were:O, deployed:O, as:O, the:O, controller’s:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We assess that this was an anti-forensics technique to hide the presence of the attacker code on the Triconex controller .' [/INST] [We:O, assess:O, that:O, this:O, was:O, an:O, anti-forensics:O, technique:O, to:O, hide:O, the:O, presence:O, of:O, the:O, attacker:B-HackOrg, code:O, on:O, the:O, Triconex:B-Tool, controller: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: 'This entry was posted on Thu Dec 14 10:00 EST 2017 and filed under Malware , Nathan Brubaker , Christopher Glyer , Blake Johnson , Dan Caban , Marina Krotofil , ICS Security , and Dan Scali .' [/INST] [This:O, entry:O, was:O, posted:O, on:O, Thu:O, Dec:B-Time, 14:I-Time, 10:00:O, EST:O, 2017:B-Time, and:O, filed:O, under:O, Malware:O, ,:O, Nathan:O, Brubaker:O, ,:O, Christopher:O, Glyer:O, ,:O, Blake:O, Johnson:O, ,:O, Dan:O, Caban:O, ,:O, Marina:O, Krotofil:O, ,:O, ICS:B-SecTeam, Security:I-SecTeam, ,:O, and:O, Dan:O, Scali:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 isn’t a bad thing as it shows a natural grouping of nodes that could be a good candidate to group to help simplify the overall graph and make analysis easier .' [/INST] [This:O, isn’t:O, a:O, bad:O, thing:O, as:O, it:B-SamFile, shows:O, a:O, natural:O, grouping:O, of:O, nodes:O, that:O, could:O, be:O, a:O, good:O, candidate:O, to:O, group:O, to:O, help:O, simplify:B-Features, the:I-Features, overall:I-Features, graph:I-Features, and:O, make:B-Features, analysis:I-Features, easier:I-Features, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Keeping in mind the sensitivity of passwords , GoCrack includes an entitlement-based system that prevents users from accessing task data unless they are the original creator or they grant additional users to the task .' [/INST] [Keeping:O, in:O, mind:O, the:O, sensitivity:O, of:O, passwords:O, ,:O, GoCrack:B-HackOrg, includes:O, an:O, entitlement-based:O, system:O, that:O, prevents:O, users:O, from:O, accessing:O, task:O, data:O, unless:O, they:O, are:O, the:O, original:O, creator:O, or:O, they:O, grant:O, additional:B-Org, users:I-Org, to:O, the:O, task:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Throughout 2017 , we observed two versions of BACKSWING and saw a significant increase in May with an apparent focus on compromising Ukrainian websites .' [/INST] [Throughout:O, 2017:B-Time, ,:O, we:O, observed:O, two:O, versions:O, of:O, BACKSWING:B-Tool, and:O, saw:O, a:O, significant:O, increase:O, in:O, May:B-Time, with:O, an:O, apparent:O, focus:O, on:O, compromising:O, Ukrainian:B-Area, websites:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 our investigation into the activity , FireEye identified a direct overlap between BADRABBIT redirect sites and sites hosting a profiler we’ve been tracking as BACKSWING .' [/INST] [During:O, our:O, investigation:O, into:O, the:O, activity:O, ,:O, FireEye:B-SecTeam, identified:O, a:O, direct:O, overlap:O, between:O, BADRABBIT:B-SamFile, redirect:O, sites:O, and:O, sites:O, hosting:O, a:O, profiler:O, we’ve:O, been:O, tracking:O, as:O, BACKSWING:B-Tool, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This entry was posted on Tue Nov 28 14:00 EST 2017 and filed under Malware , Sandor Nemes , Malware Analysis , and Abhay Vaish .' [/INST] [This:O, entry:O, was:O, posted:O, on:O, Tue:B-Time, Nov:I-Time, 28:I-Time, 14:00:O, EST:O, 2017:B-Time, and:O, filed:O, under:O, Malware:O, ,:O, Sandor:B-Tool, Nemes:I-Tool, ,:O, Malware:B-Tool, Analysis:I-Tool, ,:O, and:O, Abhay:B-Tool, Vaish: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: 'FireEye network devices blocked infection attempts at over a dozen victims primarily in Germany , Japan , and the U.S until Oct. 24 at 15:00 UTC , when the infection attempts ceased and attacker infrastructure – both 1dnscontrol.com and the legitimate websites containing the rogue code – were taken offline .' [/INST] [FireEye:B-SecTeam, network:O, devices:O, blocked:O, infection:O, attempts:O, at:O, over:O, a:O, dozen:O, victims:O, primarily:O, in:O, Germany:B-Area, ,:O, Japan:B-Area, ,:O, and:O, the:O, U.S:O, until:O, Oct.:B-Time, 24:I-Time, at:O, 15:00:O, UTC:O, ,:O, when:O, the:O, infection:O, attempts:O, ceased:O, and:O, attacker:B-HackOrg, infrastructure:O, –:O, both:O, 1dnscontrol.com:O, and:O, the:O, legitimate:O, websites:O, containing:O, the:O, rogue:O, code:O, –:O, were:O, taken:O, offline:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Incident Background Beginning on Oct. 24 at 08:00 UTC , FireEye detected and blocked attempts to infect multiple clients with a drive-by download masquerading as a Flash Update (install_flash_player.exe) that delivered a wormable variant of ransomware .' [/INST] [Incident:O, Background:O, Beginning:O, on:O, Oct.:B-Time, 24:I-Time, at:O, 08:00:O, UTC:O, ,:O, FireEye:B-SecTeam, detected:O, and:O, blocked:O, attempts:O, to:O, infect:O, multiple:O, clients:O, with:O, a:O, drive-by:O, download:O, masquerading:O, as:O, a:O, Flash:O, Update:O, (install_flash_player.exe):B-SamFile, that:O, delivered:O, a:O, wormable:O, variant:O, of:O, ransomware: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: 'FireEye observed that BACKSWING , a malicious JavaScript profiling framework , was deployed to at least 54 legitimate sites starting as early as September 2016 .' [/INST] [FireEye:B-SecTeam, observed:O, that:O, BACKSWING:O, ,:O, a:O, malicious:O, JavaScript:O, profiling:B-Tool, framework:I-Tool, ,:O, was:O, deployed:O, to:O, at:O, least:O, 54:O, legitimate:O, sites:O, starting:O, as:O, early:O, as:O, September: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: 'Figure 3: BACKSWING Version 2Version 1:FireEye observed the first version of BACKSWING in late 2016 on websites belonging to a Czech Republic hospitality organization in addition to a government website in Montenegro .' [/INST] [Figure:O, 3::O, BACKSWING:O, Version:O, 2Version:O, 1:FireEye:B-SecTeam, observed:O, the:O, first:O, version:O, of:O, BACKSWING:B-SamFile, in:O, late:O, 2016:B-Time, on:O, websites:O, belonging:O, to:O, a:O, Czech:O, Republic:O, hospitality:B-Org, organization:I-Org, in:O, addition:O, to:O, a:O, government:B-Org, website:O, in:O, Montenegro: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: 'Beginning in May 2017 , FireEye observed a number of Ukrainian websites compromised with BACKSWING v1 , and in June 2017 , began to see content returned from BACKSWING receivers .' [/INST] [Beginning:O, in:O, May:B-Time, 2017:I-Time, ,:O, FireEye:B-SecTeam, observed:O, a:O, number:O, of:O, Ukrainian:B-Area, websites:O, compromised:O, with:O, BACKSWING:B-Org, v1:I-Org, ,:O, and:O, in:O, June:B-Time, 2017:I-Time, ,:O, began:O, to:O, see:O, content:O, returned:O, from:O, BACKSWING:B-Org, receivers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FireEye observed this framework on compromised Turkish sites and Montenegrin sites over the past year .' [/INST] [FireEye:B-SecTeam, observed:O, this:O, framework:O, on:O, compromised:O, Turkish:B-Area, sites:O, and:O, Montenegrin:O, sites:O, over:O, the:O, past:B-Time, year: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: 'While FireEye has not directly observed BACKSWING delivering BADRABBIT , BACKSWING was observed on multiple websites that were seen referring FireEye customers to 1dnscontrol.com , which hosted the BADRABBIT dropper .' [/INST] [While:O, FireEye:B-SecTeam, has:O, not:O, directly:O, observed:O, BACKSWING:B-Org, delivering:O, BADRABBIT:B-SamFile, ,:O, BACKSWING:B-Org, was:O, observed:O, on:O, multiple:O, websites:O, that:O, were:O, seen:O, referring:O, FireEye:B-SecTeam, customers:O, to:O, 1dnscontrol.com:O, ,:O, which:O, hosted:O, the:O, BADRABBIT:B-SamFile, dropper: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: 'Harvested credentials provided by an embedded Mimikatz executable facilitate the infection of other systems on the network .' [/INST] [Harvested:B-Way, credentials:I-Way, provided:O, by:O, an:O, embedded:O, Mimikatz:B-SamFile, executable:O, facilitate:O, the:O, infection:O, of:O, other:O, systems:O, on:O, the:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Like EternalPetya , infpub.dat determines if a specific file exists on the system and will exit if found .' [/INST] [Like:O, EternalPetya:O, ,:O, infpub.dat:B-SamFile, determines:O, if:O, a:O, specific:B-SamFile, file:I-SamFile, exists:O, on:O, the:O, system:O, and:O, will:O, exit:O, if:O, found:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 entry was posted on Mon Dec 04 12:00 EST 2017 and filed under Code , Reverse Engineering , Nick Harbour , and Incident Response .' [/INST] [This:O, entry:B-SamFile, was:O, posted:O, on:O, Mon:B-Time, Dec:I-Time, 04:I-Time, 12:00:O, EST:O, 2017:B-Time, and:O, filed:O, under:O, Code:O, ,:O, Reverse:B-Tool, Engineering:I-Tool, ,:O, Nick:B-Tool, Harbour:I-Tool, ,:O, and:O, Incident:O, Response:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Mimikatz is a post-exploitation tool that allows attackers to extract credentials from volatile memory .' [/INST] [Mimikatz:B-SamFile, is:O, a:O, post-exploitation:O, tool:O, that:O, allows:O, attackers:O, to:O, extract:B-Features, credentials:I-Features, from:O, volatile:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The developer consistently used Accept-Enconding” (note the extra ‘n’) in all DanBot samples analyzed by CTU researchers .' [/INST] [The:O, developer:O, consistently:O, used:O, Accept-Enconding”:O, (note:O, the:O, extra:O, ‘n’):O, in:O, all:O, DanBot:B-SamFile, samples:O, analyzed:O, by:O, CTU:B-SecTeam, researchers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Previous versions were described by Kaspersky in 2014 and Cylance in 2017 .' [/INST] [Previous:B-SamFile, versions:I-SamFile, were:O, described:O, by:O, Kaspersky:B-SecTeam, in:O, 2014:B-Time, and:O, Cylance:B-HackOrg, in:O, 2017:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The GoogleUpdate.exe component is responsible for communicating with the remote C&C server .' [/INST] [The:O, GoogleUpdate.exe:B-SamFile, component:O, is:O, responsible:O, for:O, communicating:B-Features, with:O, the:O, remote: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: 'This way , the malware can have its configuration , malicious binaries and file listings updated , but can also download and execute other binaries .' [/INST] [This:O, way:O, ,:O, the:O, malware:B-SamFile, can:O, have:O, its:O, configuration:B-Features, ,:O, malicious:O, binaries:O, and:O, file:O, listings:O, updated:O, ,:O, but:O, can:O, also:O, download:B-Features, and:O, execute:B-Features, other:O, binaries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'They also download apks secretly and record audios and videos , then upload users’ privacy information to server , causing users’ privacy leakage .' [/INST] [They:B-SamFile, also:O, download:B-Features, apks:O, secretly:B-Features, and:O, record:B-Features, audios:I-Features, and:O, videos:O, ,:O, then:O, upload:B-Features, users’:O, privacy:O, information:O, to:O, server:O, ,:O, causing:O, users’:O, privacy:O, leakage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 SectorJ04 group mainly utilizes a spear phishing email with MS Word or Excel files attached , and the document files downloads the Microsoft Installer (MSI) installation file from the attacker server and uses it to install backdoor on the infected system .' [/INST] [The:O, SectorJ04:B-HackOrg, group:O, mainly:O, utilizes:O, a:O, spear:B-Way, phishing:I-Way, email:I-Way, with:O, MS:O, Word:O, or:O, Excel:O, files:O, attached:O, ,:O, and:O, the:O, document:B-SamFile, files:I-SamFile, downloads:B-Features, the:O, Microsoft:O, Installer:O, (MSI):O, installation:O, file:O, from:O, the:O, attacker:B-HackOrg, server:O, and:O, uses:O, it:O, to:O, install:O, backdoor:O, on:O, the:O, infected:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Backdoor installed in the infected system distributed additional botnet malware , ransomware and email stealers .' [/INST] [Backdoor:B-SamFile, installed:O, in:O, the:O, infected:O, system:O, distributed:O, additional:B-Way, botnet:I-Way, malware:O, ,:O, ransomware:B-Way, and:O, email:B-Way, stealers:B-Way, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The email stealer collects connection protocol information and account information , such as SMTP , IMAP , and POP3 , which are stored in the registry by Outlook and Thunderbird mail clients and sends them to the attacker server in a specific format .' [/INST] [The:O, email:B-SamFile, stealer:I-SamFile, collects:B-Features, connection:I-Features, protocol:O, information:O, and:O, account:O, information:O, ,:O, such:O, as:O, SMTP:O, ,:O, IMAP:O, ,:O, and:O, POP3:O, ,:O, which:O, are:O, stored:O, in:O, the:O, registry:O, by:O, Outlook:O, and:O, Thunderbird:O, mail:O, clients:O, and:O, sends:O, them:O, to:O, the:O, attacker:O, server:O, in:O, a:O, specific:O, format:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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’s emails usually contain a picture or a link without a malicious payload and are sent out to a huge recipient database of up to 85 , 000 users .' [/INST] [The:O, threat:O, actor’s:B-HackOrg, emails:O, usually:O, contain:O, a:O, picture:O, or:O, a:O, link:O, without:O, a:O, malicious:B-SamFile, payload:I-SamFile, and:O, are:O, sent:O, out:O, to:O, a:O, huge:O, recipient:O, database:O, of:O, up:O, to:O, 85:O, ,:O, 000:O, users: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: 'Group-IB has also detected recon emails sent out to New Zealand .' [/INST] [Group-IB:B-SecTeam, has:O, also:O, detected:O, recon:B-SamFile, emails:I-SamFile, sent:O, out:O, to:O, New:B-Area, Zealand: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: 'In 2019 , Group-IB also observed the use of a new fileless PowerShell loader called Ivoke .' [/INST] [In:O, 2019:B-Time, ,:O, Group-IB:B-SecTeam, also:O, observed:O, the:O, use:O, of:O, a:O, new:O, fileless:O, PowerShell:O, loader:O, called:O, Ivoke:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Silence.Main Trojan , which is the main stage of the attack , has a full set of commands to control a compromised computer .' [/INST] [The:O, Silence.Main:B-SamFile, Trojan:I-SamFile, ,:O, which:O, is:O, the:O, main:O, stage:O, of:O, the:O, attack:O, ,:O, has:O, a:O, full:O, set:O, of:O, commands:O, to:O, control:B-Features, a:O, compromised: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: 'Group-IB specialists tracked a massive mailout of emails containing a malicious Microsoft Word attachment titled Договор.doc” [Contract.doc] .' [/INST] [Group-IB:B-SecTeam, specialists:O, tracked:O, a:O, massive:O, mailout:O, of:O, emails:O, containing:O, a:O, malicious:B-SamFile, Microsoft:I-SamFile, Word:I-SamFile, attachment:I-SamFile, titled:O, Договор.doc”:O, [Contract.doc]:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 24 March 2019 , Silence.ProxyBot (MD5 2fe01a04d6beef14555b2cf9a717615c) was uploaded to VirusTotal from an IP address in Sri Lanka .' [/INST] [On:O, 24:B-Time, March:I-Time, 2019:I-Time, ,:O, Silence.ProxyBot:B-SamFile, (MD5:O, 2fe01a04d6beef14555b2cf9a717615c):O, was:O, uploaded:O, to:O, VirusTotal:O, from:O, an:O, IP:O, address:O, in:O, Sri:B-Area, Lanka:I-Area, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To do this , the actor may have used a unique tool called Atmosphere , a Trojan developed by Silence to remotely control ATM dispensers , or a similar program called xfs-disp.exe , which the actor may have used in their attack on IT Bank .' [/INST] [To:O, do:O, this:O, ,:O, the:O, actor:O, may:O, have:O, used:O, a:O, unique:O, tool:O, called:O, Atmosphere:B-Tool, ,:O, a:O, Trojan:O, developed:O, by:O, Silence:B-HackOrg, to:O, remotely:O, control:O, ATM:O, dispensers:O, ,:O, or:O, a:O, similar:O, program:O, called:O, xfs-disp.exe:B-SamFile, ,:O, which:O, the:O, actor:O, may:O, have:O, used:O, in:O, their:O, attack:O, on:O, IT:O, Bank:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The main goal of Silence.Downloader is to receive an executable file and run it on an infected machine .' [/INST] [The:O, main:O, goal:O, of:O, Silence.Downloader:B-SamFile, is:O, to:O, receive:B-Features, an:O, executable:O, file:O, and:O, run:O, it:O, on:O, an:O, infected: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: 'Silence.MainModule is a typical remote control Trojan that provides access to the command shell CMD.EXE with the possibility of downloading files from remote nodes to a computer and uploading files from a computer to a remote server .' [/INST] [Silence.MainModule:B-SamFile, is:O, a:O, typical:O, remote:O, control:O, Trojan:O, that:O, provides:B-Features, access:O, to:O, the:O, command:O, shell:O, CMD.EXE:O, with:O, the:O, possibility:O, of:O, downloading:B-Features, files:I-Features, from:O, remote:O, nodes:O, to:O, a:O, computer:O, and:O, uploading:B-Features, files:I-Features, from:O, a:O, computer:O, to:O, a:O, remote: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: 'Rapid7 again observed APT10 dropping payloads named ccSEUPDT.exe .' [/INST] [Rapid7:B-SecTeam, again:O, observed:O, APT10:B-HackOrg, dropping:O, payloads:O, named:O, ccSEUPDT.exe:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These malware families have a rich history of being used in many targeted attacks against government and private organizations .' [/INST] [These:O, malware:B-SamFile, families:O, have:O, a:O, rich:O, history:O, of:O, being:O, used:O, in:O, many:O, targeted:O, attacks:O, against:O, government:B-Idus, and:O, private:B-Idus, organizations:B-Idus, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The samples we analyzed originated from the Philippines .' [/INST] [The:O, samples:B-SamFile, we:O, analyzed:O, originated:O, from:O, the:O, Philippines: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: 'Also , the certificate embedded in the Quasar sample was issued at 22.12.2018 , which correlates with the file’s compilation date .' [/INST] [Also:O, ,:O, the:O, certificate:O, embedded:O, in:O, the:O, Quasar:O, sample:B-SamFile, was:O, issued:O, at:O, 22.12.2018:B-Time, ,:O, which:O, correlates:O, with:O, the:O, file’s:O, compilation:O, date:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PlugX is a modular structured malware that has many different operational plugins such as communication compression and encryption , network enumeration , files interaction , remote shell operations and more .' [/INST] [PlugX:B-SamFile, is:O, a:O, modular:O, structured:O, malware:O, that:O, has:O, many:O, different:O, operational:O, plugins:O, such:O, as:O, communication:B-Features, compression:I-Features, and:O, encryption:B-Features, ,:O, network:B-Features, enumeration:I-Features, ,:O, files:B-Features, interaction:I-Features, ,:O, remote:B-Features, shell:I-Features, operations:I-Features, and:O, more:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TONEDEAF supports collecting system information , uploading and downloading of files , and arbitrary shell command execution .' [/INST] [TONEDEAF:B-SamFile, supports:O, collecting:B-Features, system:I-Features, information:I-Features, ,:O, uploading:B-Features, and:O, downloading:B-Features, of:O, files:O, ,:O, and:O, arbitrary:B-Features, shell:O, command:O, execution:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , FireEye discovered two additional new malware families hosted at this domain , VALUEVAULT and LONGWATCH .' [/INST] [Of:O, note:O, ,:O, FireEye:B-SecTeam, discovered:O, two:O, additional:O, new:O, malware:O, families:O, hosted:O, at:O, this:O, domain:O, ,:O, VALUEVAULT:B-SamFile, and:O, LONGWATCH: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: 'PICKPOCKET is a credential theft tool that dumps the user's website login credentials from Chrome , Firefox , and Internet Explorer to a file .' [/INST] [PICKPOCKET:B-SamFile, is:O, a:O, credential:O, theft:O, tool:O, that:O, dumps:B-Features, the:O, user's:O, website:O, login:O, credentials:O, from:O, Chrome:O, ,:O, Firefox:O, ,:O, and:O, Internet:O, Explorer:O, to:O, a: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: 'FireEye detects this activity across our platforms , including named detection for TONEDEAF , VALUEVAULT , and LONGWATCH .' [/INST] [FireEye:B-SecTeam, detects:O, this:O, activity:O, across:O, our:O, platforms:O, ,:O, including:O, named:O, detection:O, for:O, TONEDEAF:B-SamFile, ,:O, VALUEVAULT:B-SamFile, ,:O, and:O, LONGWATCH: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: 'Banks in countries such as Russia , the United Kingdom , the Netherlands , Spain , Romania , Belarus , Poland , Estonia , Bulgaria , Georgia , Moldova , Kyrgyzstan , Armenia , Taiwan and Malaysia have allegedly been targeted with spearphishing emails , luring victims into clicking malicious URLs and executing booby-trapped documents .' [/INST] [Banks:B-Idus, in:O, countries:O, such:O, as:O, Russia:B-Area, ,:O, the:O, United:B-Area, Kingdom:I-Area, ,:O, the:O, Netherlands:B-Area, ,:O, Spain:B-Area, ,:O, Romania:B-Area, ,:O, Belarus:B-Area, ,:O, Poland:B-Area, ,:O, Estonia:B-Area, ,:O, Bulgaria:B-Area, ,:O, Georgia:B-Area, ,:O, Moldova:B-Area, ,:O, Kyrgyzstan:B-Area, ,:O, Armenia:B-Area, ,:O, Taiwan:B-Area, and:O, Malaysia:B-Area, have:O, allegedly:O, been:O, targeted:O, with:O, spearphishing:B-SamFile, emails:I-SamFile, ,:O, luring:O, victims:O, into:O, clicking:O, malicious:O, URLs:O, and:O, executing:O, booby-trapped:O, 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 other overlapping files are tools used by the adversary to locate other systems on the network (etool.exe) , check to see if they are vulnerable to CVE-2017-0144 (EternalBlue) patched in MS07-010 (checker1.exe) and pivot to them using remote execution functionality offered by a tool similar to PsExec offered by Impacket (psexec.exe) .' [/INST] [The:O, other:O, overlapping:O, files:O, are:O, tools:O, used:O, by:O, the:O, adversary:O, to:O, locate:O, other:O, systems:O, on:O, the:O, network:O, (etool.exe):O, ,:O, check:O, to:O, see:O, if:O, they:O, are:O, vulnerable:O, to:O, CVE-2017-0144:B-Exp, (EternalBlue):O, patched:O, in:O, MS07-010:B-SamFile, (checker1.exe):O, and:O, pivot:O, to:O, them:O, using:O, remote:O, execution:O, functionality:O, offered:O, by:O, a:O, tool:O, similar:O, to:O, PsExec:B-SamFile, offered:O, by:O, Impacket:O, (psexec.exe):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Also , the NCSC advisory mentioned that the actors used a file name stylecss.aspx for their webshell , which is the same filename we saw associated with China Chopper .' [/INST] [Also:O, ,:O, the:O, NCSC:O, advisory:O, mentioned:O, that:O, the:O, actors:O, used:O, a:O, file:O, name:O, stylecss.aspx:B-SamFile, for:O, their:O, webshell:O, ,:O, which:O, is:O, the:O, same:O, filename:O, we:O, saw:O, associated:O, with:O, China:B-SamFile, Chopper: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: 'We will provide an analysis of the HyperBro tool in an upcoming section .' [/INST] [We:B-SecTeam, will:O, provide:O, an:O, analysis:O, of:O, the:O, HyperBro:B-SamFile, tool:O, in:O, an:O, upcoming:O, section:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 9 shows a code comparison between the PYTHON33.dll (right) and inicore_v2.3.30.dll (left) (SHA256: 4d65d371a789aabe1beadcc10b38da1f998cd3ec87d4cc1cfbf0af014b783822) , which was sideloaded to run the SysUpdate tool in a previous Emissary Panda campaign .' [/INST] [Figure:O, 9:O, shows:O, a:O, code:O, comparison:O, between:O, the:O, PYTHON33.dll:B-SamFile, (right):O, and:O, inicore_v2.3.30.dll:B-SamFile, (left):O, (SHA256::O, 4d65d371a789aabe1beadcc10b38da1f998cd3ec87d4cc1cfbf0af014b783822):O, ,:O, which:O, was:O, sideloaded:O, to:O, run:O, the:O, SysUpdate:B-Tool, tool:O, in:O, a:O, previous:O, Emissary:B-HackOrg, Panda:I-HackOrg, 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: 'The files uploaded to this webshell included the same compiled python script that would scan remote systems that were vulnerable to CVE-2017-0144 (EternalBlue) that we saw uploaded to the other errr.aspx webshell .' [/INST] [The:O, files:O, uploaded:O, to:O, this:O, webshell:O, included:O, the:O, same:O, compiled:O, python:B-Tool, script:I-Tool, that:O, would:O, scan:O, remote:O, systems:O, that:O, were:O, vulnerable:O, to:O, CVE-2017-0144:B-Exp, (EternalBlue):O, that:O, we:O, saw:O, uploaded:O, to:O, the:O, other:O, errr.aspx:B-SamFile, webshell:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the actors pivoted to other systems on the network using stolen credentials and by exploiting the CVE-2017-0144 (EternalBlue) vulnerability patched in MS17-010 .' [/INST] [We:O, believe:O, the:O, actors:B-HackOrg, pivoted:O, to:O, other:O, systems:O, on:O, the:O, network:O, using:O, stolen:B-OffAct, credentials:I-OffAct, and:O, by:O, exploiting:O, the:O, CVE-2017-0144:B-Exp, (EternalBlue):O, vulnerability:O, patched:O, in:O, MS17-010:B-SamFile, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The first module downloaded by the GRIFFON malware to the victim’s computer is an information-gathering JScript , which allows the cybercriminals to understand the context of the infected workstation .' [/INST] [The:O, first:O, module:O, downloaded:O, by:O, the:O, GRIFFON:B-SamFile, malware:O, to:O, the:O, victim’s:O, computer:O, is:O, an:O, information-gathering:O, JScript:O, ,:O, which:O, allows:O, the:O, cybercriminals:O, to:O, understand:B-Features, the:O, context:O, of:O, the:O, infected:O, workstation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 new GRIFFON implant is written to the hard drive before each execution , limiting the file-less” aspect of this method .' [/INST] [The:O, new:O, GRIFFON:B-SamFile, implant:O, is:O, written:B-Features, to:O, the:O, hard:O, drive:O, before:O, each:O, execution:O, ,:O, limiting:O, the:O, file-less”:O, aspect:O, of:O, this:O, method:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 fact , AveMaria is a classic infostealer bot that collects all possible credentials from various types of software: browsers , email clients , messengers , etc , and can act as a keylogger .' [/INST] [In:O, fact:O, ,:O, AveMaria:B-SamFile, is:O, a:O, classic:O, infostealer:O, bot:O, that:O, collects:B-Features, all:O, possible:O, credentials:O, from:O, various:O, types:O, of:O, software::O, browsers:O, ,:O, email:O, clients:O, ,:O, messengers:O, ,:O, etc:O, ,:O, and:O, can:O, act:B-Features, as:O, a:O, keylogger:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The main payload is usually Imminent Monitor RAT ; however , at the beginning of 2018 , we also observed the use of LuminosityLink RAT , NetWire RAT , and NjRAT .' [/INST] [The:O, main:O, payload:O, is:O, usually:O, Imminent:O, Monitor:B-SamFile, RAT:I-SamFile, ;:O, however:O, ,:O, at:O, the:O, beginning:B-Time, of:I-Time, 2018:I-Time, ,:O, we:O, also:O, observed:O, the:O, use:O, of:O, LuminosityLink:B-SamFile, RAT:I-SamFile, ,:O, NetWire:B-SamFile, RAT:I-SamFile, ,:O, and:O, NjRAT: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 a case in June 2019 , we also noticed Warzone RAT being used .' [/INST] [In:O, a:O, case:O, in:O, June:B-Time, 2019:I-Time, ,:O, we:O, also:O, noticed:O, Warzone:B-SamFile, RAT:I-SamFile, being:O, used:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Xpert RAT reportedly first appeared in 2011 .' [/INST] [Xpert:B-SamFile, RAT:I-SamFile, reportedly:O, first:O, appeared:O, in:O, 2011:B-Time, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The first version of Proyecto RAT” was published at the end of 2010 .' [/INST] [The:O, first:O, version:O, of:O, Proyecto:B-SamFile, RAT”:I-SamFile, was:O, published:O, at:O, the:O, end:O, of:O, 2010: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: 'Similar to previous campaigns , the JAR was directly attached to emails and used file names such as Order_2018.jar .' [/INST] [Similar:O, to:O, previous:O, campaigns:O, ,:O, the:O, JAR:B-SamFile, was:O, directly:O, attached:O, to:O, emails:O, and:O, used:O, file:O, names:O, such:O, as:O, Order_2018.jar: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: 'Code contained inside one of the slides triggers an exploit for CVE-2017-8759 , a remote code execution vulnerability in Microsoft .NET framework .' [/INST] [Code:O, contained:O, inside:O, one:O, of:O, the:O, slides:B-SamFile, triggers:O, an:O, exploit:O, for:O, CVE-2017-8759:B-Exp, ,:O, a:O, remote:O, code:O, execution:O, vulnerability:O, in:O, Microsoft:B-Tool, .NET:I-Tool, framework: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: 'On June 24 , we found another campaign targeting Lebanon with the ServHelper malware .' [/INST] [On:O, June:B-Time, 24:I-Time, ,:O, we:O, found:O, another:O, campaign:O, targeting:O, Lebanon:B-Area, with:O, the:O, ServHelper:B-SamFile, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Nonetheless , these spam emails were not delivered to the UAE or Arabic-speaking users , but to banks in Asian countries such as India , Indonesia , and the Philippines .' [/INST] [Nonetheless:O, ,:O, these:O, spam:B-SamFile, emails:I-SamFile, were:O, not:O, delivered:O, to:O, the:O, UAE:B-Area, or:O, Arabic-speaking:B-Area, users:O, ,:O, but:O, to:O, banks:B-Idus, in:O, Asian:B-Area, countries:O, such:O, as:O, India:B-Area, ,:O, Indonesia:B-Area, ,:O, and:O, the:B-Area, Philippines: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 April 2019 , several national security organizations released alerts on CVE-2019-0604 exploitation , including the Saudi Arabian National Cyber Security Center and the Canadian Center for Cyber Security .' [/INST] [In:O, April:B-Time, 2019:I-Time, ,:O, several:O, national:O, security:O, organizations:O, released:O, alerts:O, on:O, CVE-2019-0604:B-Exp, exploitation:O, ,:O, including:O, the:O, Saudi:B-Area, Arabian:I-Area, National:O, Cyber:B-SecTeam, Security:I-SecTeam, Center:I-SecTeam, and:O, the:O, Canadian:B-SecTeam, Center:I-SecTeam, for:O, Cyber:O, Security:O, .:O] </s> |