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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: 'After making headlines during 2016 due to its involvement in cyber attacks against an organization involved in the U.S. presidential election , APT28 ( aka Swallowtail , Fancy Bear ) has continued to mount operations during 2017 and 2018 .' [/INST] [After:O, making:O, headlines:O, during:O, 2016:S-TIME, due:O, to:O, its:O, involvement:O, in:O, cyber:O, attacks:O, against:O, an:O, organization:O, involved:O, in:O, the:O, U.S.:S-LOC, presidential:B-IDTY, election:E-IDTY, ,:O, APT28:S-APT, (:O, aka:O, Swallowtail:S-APT, ,:O, Fancy:B-APT, Bear:E-APT, ):O, has:O, continued:O, to:O, mount:O, operations:O, during:O, 2017:S-TIME, and:O, 2018: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: 'The espionage group , which according to the U.S. Department of Homeland Security ( DHS ) and the Federal Bureau of Investigation ( FBI ) is linked to the Russian government , returned to low-key intelligence-gathering operations during 2017 and into 2018 , targeting a range of military and government targets in Europe and South America .' [/INST] [The:O, espionage:O, group:O, ,:O, which:O, according:O, to:O, the:O, U.S.:S-LOC, Department:B-IDTY, of:I-IDTY, Homeland:I-IDTY, Security:E-IDTY, (:O, DHS:S-IDTY, ):O, and:O, the:O, Federal:B-IDTY, Bureau:I-IDTY, of:I-IDTY, Investigation:E-IDTY, (:O, FBI:S-IDTY, ):O, is:O, linked:O, to:O, the:O, Russian:O, government:O, ,:O, returned:O, to:O, low-key:O, intelligence-gathering:O, operations:O, during:O, 2017:S-TIME, and:O, into:O, 2018:S-TIME, ,:O, targeting:O, a:O, range:O, of:O, military:O, and:O, government:O, targets:O, in:O, Europe:S-LOC, and:O, South:B-LOC, America: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: 'APT28 has been active since at least January 2007 but received public attention in a major way during 2016 when it was implicated in a series of cyber attacks in the run up to the U.S. presidential election .' [/INST] [APT28:S-APT, has:O, been:O, active:O, since:O, at:O, least:O, January:B-TIME, 2007:E-TIME, but:O, received:O, public:O, attention:O, in:O, a:O, major:O, way:O, during:O, 2016:S-TIME, when:O, it:O, was:O, implicated:O, in:O, a:O, series:O, of:O, cyber:O, attacks:O, in:O, the:O, run:O, up:O, to:O, the:O, U.S.:S-LOC, presidential:B-IDTY, election: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: 'Beginning in the Spring of 2016 , APT28 sent spear-phishing emails to political targets including members of the Democratic National Committee ( DNC ) .' [/INST] [Beginning:O, in:O, the:O, Spring:B-TIME, of:I-TIME, 2016:E-TIME, ,:O, APT28:S-APT, sent:O, spear-phishing:S-ACT, emails:S-TOOL, to:O, political:O, targets:O, including:O, members:O, of:O, the:O, Democratic:B-IDTY, National:I-IDTY, Committee:E-IDTY, (:O, DNC:S-IDTY, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 emails were designed to trick recipients into supposedly changing their email passwords on a fake webmail domain .' [/INST] [These:O, emails:S-TOOL, were:O, designed:O, to:O, trick:O, recipients:O, into:O, supposedly:O, changing:O, their:O, email:S-TOOL, passwords:O, on:O, a:O, fake:O, webmail:O, domain:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attack group then used these stolen credentials to gain access to the DNC network , install malware , move across the network , and steal data , including a trove of emails .' [/INST] [The:O, attack:O, group:O, then:O, used:O, these:O, stolen:O, credentials:O, to:O, gain:O, access:O, to:O, the:O, DNC:S-IDTY, network:O, ,:O, install:O, malware:O, ,:O, move:O, across:O, the:O, network:O, ,:O, and:O, steal:O, data:O, ,:O, including:O, a:O, trove:O, of:O, emails:S-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 compromised information was later leaked online .' [/INST] [The:O, compromised:O, information:O, was:O, later:O, leaked:O, online:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 election attacks signaled a change of tactics on the part of APT28 , moving away from their prior low-key intelligence gathering towards more overt activity , seemingly intended to destabilize and disrupt victim organizations and countries .' [/INST] [These:O, election:O, attacks:O, signaled:O, a:O, change:O, of:O, tactics:O, on:O, the:O, part:O, of:O, APT28:S-APT, ,:O, moving:O, away:O, from:O, their:O, prior:O, low-key:O, intelligence:O, gathering:O, towards:O, more:O, overt:O, activity:O, ,:O, seemingly:O, intended:O, to:O, destabilize:O, and:O, disrupt:O, victim:O, organizations:O, and:O, countries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The group was also responsible for the 2016 attack on the World Anti Doping Agency ( WADA ) and the leaking of confidential drug testing information .' [/INST] [The:O, group:O, was:O, also:O, responsible:O, for:O, the:O, 2016:S-TIME, attack:O, on:O, the:O, World:B-IDTY, Anti:I-IDTY, Doping:I-IDTY, Agency:E-IDTY, (:O, WADA:S-IDTY, ):O, and:O, the:O, leaking:O, of:O, confidential:O, drug:O, testing:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In keeping with its shift to more overt tactics , the group appeared to publicly take credit for the attack , leaking the information on a website using the name “ Fancy Bears ” , an industry codename that was already widely used for the group .' [/INST] [In:O, keeping:O, with:O, its:O, shift:O, to:O, more:O, overt:O, tactics:O, ,:O, the:O, group:O, appeared:O, to:O, publicly:O, take:O, credit:O, for:O, the:O, attack:O, ,:O, leaking:O, the:O, information:O, on:O, a:O, website:O, using:O, the:O, name:O, “:O, Fancy:B-APT, Bears:E-APT, ”:O, ,:O, an:O, industry:O, codename:O, that:O, was:O, already:O, widely:O, used:O, for:O, the:O, group:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 receiving an unprecedented amount of attention in 2016 , APT28 has continued to mount operations during 2017 and 2018 .' [/INST] [After:O, receiving:O, an:O, unprecedented:O, amount:O, of:O, attention:O, in:O, 2016:S-TIME, ,:O, APT28:S-APT, has:O, continued:O, to:O, mount:O, operations:O, during:O, 2017:S-TIME, and:O, 2018: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: 'However , the group ’s activities since the beginning of 2017 have again become more covert and appear to be mainly motivated by intelligence gathering .' [/INST] [However:O, ,:O, the:O, group:O, ’s:O, activities:O, since:O, the:O, beginning:O, of:O, 2017:S-TIME, have:O, again:O, become:O, more:O, covert:O, and:O, appear:O, to:O, be:O, mainly:O, motivated:O, by:O, intelligence:O, gathering:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 organizations targeted by APT28 during 2017 and 2018 include :' [/INST] [The:O, organizations:O, targeted:O, by:O, APT28:S-APT, during:O, 2017:S-TIME, and:O, 2018:S-TIME, include:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 well-known international organization Military targets in Europe Governments in Europe A government of a South American country An embassy belonging to an Eastern European country .' [/INST] [A:O, well-known:O, international:O, organization:O, Military:O, targets:O, in:O, Europe:S-LOC, Governments:O, in:O, Europe:S-LOC, A:O, government:O, of:O, a:O, South:O, American:O, country:O, An:O, embassy:O, belonging:O, to:O, an:O, Eastern:O, European:O, country:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 uses a number of tools to compromise its targets .' [/INST] [APT28:S-APT, uses:O, a:O, number:O, of:O, tools:O, to:O, compromise:O, its: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: 'The group ’s primary malware is Sofacy , which has two main components .' [/INST] [The:O, group:O, ’s:O, primary:O, malware:O, is:O, Sofacy:S-MAL, ,:O, which:O, has:O, two:O, main:O, components:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trojan.Sofacy ( also known as Seduploader ) performs basic reconnaissance on an infected computer and can download further malware .' [/INST] [Trojan.Sofacy:S-FILE, (:O, also:O, known:O, as:O, Seduploader:S-MAL, ):O, performs:O, basic:O, reconnaissance:O, on:O, an:O, infected:O, computer:O, and:O, can:O, download:O, further:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Backdoor.SofacyX ( also known as X-Agent ) is a second stage piece of malware , capable of stealing information from the infected computer .' [/INST] [Backdoor.SofacyX:S-FILE, (:O, also:O, known:O, as:O, X-Agent:S-MAL, ):O, is:O, a:O, second:O, stage:O, piece:O, of:O, malware:O, ,:O, capable:O, of:O, stealing:O, information:O, from:O, the:O, infected: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: 'A Mac version of the Trojan also exists ( OSX.Sofacy ) .' [/INST] [A:O, Mac:S-OS, version:O, of:O, the:O, Trojan:S-MAL, also:O, exists:O, (:O, OSX.Sofacy:S-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: 'APT28 has continued to develop its tools over the past two years .' [/INST] [APT28:S-APT, has:O, continued:O, to:O, develop:O, its:O, tools:O, over:O, the:O, past:O, two:O, years:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For example , Trojan.Shunnael ( aka X-Tunnel ) , malware used to maintain access to infected networks using an encrypted tunnel , underwent a rewrite to .NET .' [/INST] [For:O, example:O, ,:O, Trojan.Shunnael:S-FILE, (:O, aka:O, X-Tunnel:S-MAL, ):O, ,:O, malware:O, used:O, to:O, maintain:O, access:O, to:O, infected:O, networks:O, using:O, an:O, encrypted:O, tunnel:O, ,:O, underwent:O, a:O, rewrite:O, to:O, .NET:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to this , as reported by our peers at ESET last week , the group has also begun using a UEFI ( Unified Extensible Firmware Interface ) rootkit known as Lojax .' [/INST] [In:O, addition:O, to:O, this:O, ,:O, as:O, reported:O, by:O, our:O, peers:O, at:O, ESET:S-SECTEAM, last:O, week:O, ,:O, the:O, group:O, has:O, also:O, begun:O, using:O, a:O, UEFI:S-TOOL, (:O, Unified:B-TOOL, Extensible:I-TOOL, Firmware:I-TOOL, Interface:E-TOOL, ):O, rootkit:O, known:O, as:O, Lojax: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: 'Because the rootkit resides within a computer ’s flash memory , it allows the attackers to maintain a persistent presence on a compromised machine even if the hard drive is replaced or the operating system is reinstalled .' [/INST] [Because:O, the:O, rootkit:O, resides:O, within:O, a:O, computer:O, ’s:O, flash:O, memory:O, ,:O, it:O, allows:O, the:O, attackers:O, to:O, maintain:O, a:O, persistent:O, presence:O, on:O, a:O, compromised:O, machine:O, even:O, if:O, the:O, hard:O, drive:O, is:O, replaced:O, or:O, the:O, operating:O, system:O, is:O, reinstalled:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Symantec products block attempts to install Lojax with the detection name Trojan.Lojax .' [/INST] [Symantec:S-SECTEAM, products:O, block:O, attempts:O, to:O, install:O, Lojax:S-MAL, with:O, the:O, detection:O, name:O, Trojan.Lojax:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Another attack group , Earworm ( aka Zebrocy ) , has been active since at least May 2016 and is involved in what appears to be intelligence gathering operations against military targets in Europe , Central Asia , and Eastern Asia .' [/INST] [Another:O, attack:O, group:O, ,:O, Earworm:S-APT, (:O, aka:O, Zebrocy:S-APT, ):O, ,:O, has:O, been:O, active:O, since:O, at:O, least:O, May:B-TIME, 2016:E-TIME, and:O, is:O, involved:O, in:O, what:O, appears:O, to:O, be:O, intelligence:O, gathering:O, operations:O, against:O, military:O, targets:O, in:O, Europe:S-LOC, ,:O, Central:B-LOC, Asia:E-LOC, ,:O, and:O, Eastern:B-LOC, Asia: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: 'The group uses spear-phishing emails to compromise its targets and infect them with malware .' [/INST] [The:O, group:O, uses:O, spear-phishing:S-ACT, emails:S-TOOL, to:O, compromise:O, its:O, targets:O, and:O, infect:O, them:O, with:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Earworm uses two malware tools .' [/INST] [Earworm:S-APT, uses:O, two:O, malware:O, tools:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trojan.Zekapab is a downloader component that is capable of carrying out basic reconnaissance functions and downloading additional malware to the infected computer .' [/INST] [Trojan.Zekapab:S-FILE, is:O, a:O, downloader:O, component:O, that:O, is:O, capable:O, of:O, carrying:O, out:O, basic:O, reconnaissance:O, functions:O, and:O, downloading:O, additional:O, malware:O, to:O, the:O, infected: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: 'Backdoor.Zekapab is installed on selected infected computers and is capable of taking screenshots , executing files and commands , uploading and downloading files , performing registry and file system operations , and carrying out system information tasks .' [/INST] [Backdoor.Zekapab:S-FILE, is:O, installed:O, on:O, selected:O, infected:O, computers:O, and:O, is:O, capable:O, of:O, taking:O, screenshots:O, ,:O, executing:O, files:O, and:O, commands:O, ,:O, uploading:O, and:O, downloading:O, files:O, ,:O, performing:O, registry:O, and:O, file:O, system:O, operations:O, ,:O, and:O, carrying:O, out:O, system:O, information:O, tasks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Earworm has also on occasion installed additional tools onto infected computers for the purposes of keylogging and password capture .' [/INST] [Earworm:S-APT, has:O, also:O, on:O, occasion:O, installed:O, additional:O, tools:O, onto:O, infected:O, computers:O, for:O, the:O, purposes:O, of:O, keylogging:O, and:O, password:O, capture:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2016 , Symantec observed some overlap between the command and control ( C&C ) infrastructure used by Earworm and the C&C infrastructure used by Grizzly Steppe ( the U.S. government code name for APT28 and related actors ) , implying a potential connection between Earworm and APT28 .' [/INST] [During:O, 2016:S-TIME, ,:O, Symantec:S-SECTEAM, observed:O, some:O, overlap:O, between:O, the:O, command:B-TOOL, and:I-TOOL, control:E-TOOL, (:O, C&C:S-TOOL, ):O, infrastructure:O, used:O, by:O, Earworm:S-APT, and:O, the:O, C&C:S-TOOL, infrastructure:O, used:O, by:O, Grizzly:B-ACT, Steppe:E-ACT, (:O, the:O, U.S.:S-LOC, government:O, code:O, name:O, for:O, APT28:S-APT, and:O, related:O, actors:O, ):O, ,:O, implying:O, a:O, potential:O, connection:O, between:O, Earworm:S-APT, and:O, APT28:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , Earworm also appears to conduct separate operations from APT28 and thus Symantec tracks them as a distinct group .' [/INST] [However:O, ,:O, Earworm:S-APT, also:O, appears:O, to:O, conduct:O, separate:O, operations:O, from:O, APT28:S-APT, and:O, thus:O, Symantec:S-SECTEAM, tracks:O, them:O, as:O, a:O, distinct:O, group:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 now clear that after being implicated in the U.S. presidential election attacks in late 2016 , APT28 was undeterred by the resulting publicity and continues to mount further attacks using its existing tools .' [/INST] [It:O, is:O, now:O, clear:O, that:O, after:O, being:O, implicated:O, in:O, the:O, U.S.:S-LOC, presidential:B-IDTY, election:E-IDTY, attacks:O, in:O, late:O, 2016:S-TIME, ,:O, APT28:S-APT, was:O, undeterred:O, by:O, the:O, resulting:O, publicity:O, and:O, continues:O, to:O, mount:O, further:O, attacks:O, using:O, its:O, existing:O, tools:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After its foray into overt and disruptive attacks in 2016 , the group has subsequently returned to its roots , mounting intelligence gathering operations against a range of targets .' [/INST] [After:O, its:O, foray:O, into:O, overt:O, and:O, disruptive:O, attacks:O, in:O, 2016:S-TIME, ,:O, the:O, group:O, has:O, subsequently:O, returned:O, to:O, its:O, roots:O, ,:O, mounting:O, intelligence:O, gathering:O, operations:O, against:O, a:O, range:O, of: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: 'This ongoing activity and the fact that APT28 continues to refine its toolset means that the group will likely continue to pose a significant threat to nation state targets .' [/INST] [This:O, ongoing:O, activity:O, and:O, the:O, fact:O, that:O, APT28:S-APT, continues:O, to:O, refine:O, its:O, toolset:O, means:O, that:O, the:O, group:O, will:O, likely:O, continue:O, to:O, pose:O, a:O, significant:O, threat:O, to:O, nation:O, state: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: 'Symantec has had the following protections in place to protect customers against APT28 attacks :' [/INST] [Symantec:S-SECTEAM, has:O, had:O, the:O, following:O, protections:O, in:O, place:O, to:O, protect:O, customers:O, against:O, APT28:S-APT, attacks:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trojan.Sofacy Backdoor.SofacyX Infostealer.Sofacy OSX.Sofacy Trojan.Shunnael Trojan.Lojax .' [/INST] [Trojan.Sofacy:S-MAL, Backdoor.SofacyX:S-MAL, Infostealer.Sofacy:S-MAL, OSX.Sofacy:S-MAL, Trojan.Shunnael:S-MAL, Trojan.Lojax: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 following protections are in place to protect customers against Earworm attacks :' [/INST] [The:O, following:O, protections:O, are:O, in:O, place:O, to:O, protect:O, customers:O, against:O, Earworm:S-APT, attacks:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trojan.Zekapab Backdoor.Zekapab .' [/INST] [Trojan.Zekapab:S-MAL, Backdoor.Zekapab: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: 'A BREXIT-themed lure document that delivers ZEKAPAB malware .' [/INST] [A:O, BREXIT-themed:O, lure:O, document:O, that:O, delivers:O, ZEKAPAB:S-MAL, 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: 'SNAKEMACKEREL is an espionage-motivated cyber threat group , also known as Sofacy , Pawn Storm , Sednit , Fancy Bear , APT28 , Group 74 , Tsar Team , and Strontium .' [/INST] [SNAKEMACKEREL:S-APT, is:O, an:O, espionage-motivated:O, cyber:O, threat:O, group:O, ,:O, also:O, known:O, as:O, Sofacy:S-APT, ,:O, Pawn:B-APT, Storm:E-APT, ,:O, Sednit:S-APT, ,:O, Fancy:B-APT, Bear:E-APT, ,:O, APT28:S-APT, ,:O, Group:B-APT, 74:E-APT, ,:O, Tsar:B-APT, Team:E-APT, ,:O, and:O, Strontium:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Both the British and Dutch governments have publicly attributed SNAKEMACKEREL activities to the Russian military intelligence service ( RIS ) and have linked specific cyberattacks to the group , including the targeting of the Organisation for the Prohibition of Chemical Weapons ( OPCW ) , the United Kingdom Defence and Science Technology Laboratory ( DSTL ) and the United Kingdom Foreign and Commonwealth Office ( FCO ) .' [/INST] [Both:O, the:O, British:S-LOC, and:O, Dutch:S-LOC, governments:O, have:O, publicly:O, attributed:O, SNAKEMACKEREL:S-APT, activities:O, to:O, the:O, Russian:B-IDTY, military:I-IDTY, intelligence:I-IDTY, service:E-IDTY, (:O, RIS:S-IDTY, ):O, and:O, have:O, linked:O, specific:O, cyberattacks:O, to:O, the:O, group:O, ,:O, including:O, the:O, targeting:O, of:O, the:O, Organisation:B-IDTY, for:I-IDTY, the:I-IDTY, Prohibition:I-IDTY, of:I-IDTY, Chemical:I-IDTY, Weapons:E-IDTY, (:O, OPCW:S-IDTY, ):O, ,:O, the:O, United:B-IDTY, Kingdom:I-IDTY, Defence:I-IDTY, and:I-IDTY, Science:I-IDTY, Technology:I-IDTY, Laboratory:E-IDTY, (:O, DSTL:S-IDTY, ):O, and:O, the:O, United:B-IDTY, Kingdom:I-IDTY, Foreign:I-IDTY, and:I-IDTY, Commonwealth:I-IDTY, Office:E-IDTY, (:O, FCO:S-IDTY, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to the FBI , the SNAKEMACKEREL threat group "is part of an ongoing campaign of cyber-enabled operations directed at the United States government and its citizens .' [/INST] [According:O, to:O, the:O, FBI:S-IDTY, ,:O, the:O, SNAKEMACKEREL:S-APT, threat:O, group:O, "is:O, part:O, of:O, an:O, ongoing:O, campaign:O, of:O, cyber-enabled:O, operations:O, directed:O, at:O, the:O, United:B-LOC, States:E-LOC, government:O, and:O, its:O, citizens:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 cyber operations have included spear phishing campaigns targeting government organizations , critical infrastructure entities , think tanks , universities , political organizations , and corporations , leading to the theft of information .' [/INST] [These:O, cyber:O, operations:O, have:O, included:O, spear:B-ACT, phishing:E-ACT, campaigns:O, targeting:O, government:O, organizations:O, ,:O, critical:O, infrastructure:O, entities:O, ,:O, think:O, tanks:O, ,:O, universities:O, ,:O, political:O, organizations:O, ,:O, and:O, corporations:O, ,:O, leading:O, to:O, the:O, theft:O, of:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The creation of this malicious document , coming on the same day that the UK government announced an initial agreed draft of the BREXIT agreement , suggests that SNAKEMACKEREL is a group that pays close attention to political affairs and is able to leverage the latest news headlines to develop lure documents to deliver firststage malware , such as Zekapab , to its intended targets .' [/INST] [The:O, creation:O, of:O, this:O, malicious:O, document:O, ,:O, coming:O, on:O, the:O, same:O, day:O, that:O, the:O, UK:S-LOC, government:O, announced:O, an:O, initial:O, agreed:O, draft:O, of:O, the:O, BREXIT:O, agreement:O, ,:O, suggests:O, that:O, SNAKEMACKEREL:S-APT, is:O, a:O, group:O, that:O, pays:O, close:O, attention:O, to:O, political:O, affairs:O, and:O, is:O, able:O, to:O, leverage:O, the:O, latest:O, news:O, headlines:O, to:O, develop:O, lure:O, documents:O, to:O, deliver:O, firststage:O, malware:O, ,:O, such:O, as:O, Zekapab:S-MAL, ,:O, to:O, its:O, intended: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: 'The theme also reflects the targeting of the group which primarily focuses on NATO members , countries in Central Asia and those neighboring Russia .' [/INST] [The:O, theme:O, also:O, reflects:O, the:O, targeting:O, of:O, the:O, group:O, which:O, primarily:O, focuses:O, on:O, NATO:S-IDTY, members:O, ,:O, countries:O, in:O, Central:B-LOC, Asia:E-LOC, and:O, those:O, neighboring:O, Russia: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: 'Despite the public reporting and government accusations , SNAKEMACKEREL remains highly active .' [/INST] [Despite:O, the:O, public:O, reporting:O, and:O, government:O, accusations:O, ,:O, SNAKEMACKEREL:S-APT, remains:O, highly:O, active:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 behind a large number of cyberattacks targeting global aerospace and defense contractors , military units , political parties , the International Olympic Committee ( IOC ) , anti-doping agencies , government departments and various other verticals .' [/INST] [It:O, is:O, behind:O, a:O, large:O, number:O, of:O, cyberattacks:O, targeting:O, global:O, aerospace:O, and:O, defense:O, contractors:O, ,:O, military:O, units:O, ,:O, political:O, parties:O, ,:O, the:O, International:B-IDTY, Olympic:I-IDTY, Committee:E-IDTY, (:O, IOC:S-IDTY, ):O, ,:O, anti-doping:O, agencies:O, ,:O, government:O, departments:O, and:O, various:O, other:O, verticals:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'NATO and EU member countries , as well as the United States , are of particular interest to the group .' [/INST] [NATO:S-IDTY, and:O, EU:S-IDTY, member:O, countries:O, ,:O, as:O, well:O, as:O, the:O, United:B-IDTY, States:E-IDTY, ,:O, are:O, of:O, particular:O, interest:O, to:O, the:O, group:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'SNAKEMACKEREL operations continue to be some of the most far-reaching and sophisticated cyber espionage and intelligence campaigns to date .' [/INST] [SNAKEMACKEREL:S-APT, operations:O, continue:O, to:O, be:O, some:O, of:O, the:O, most:O, far-reaching:O, and:O, sophisticated:O, cyber:O, espionage:O, and:O, intelligence:O, campaigns:O, to:O, date:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This report provides a technical overview of a BREXIT-themed lure Microsoft Office document that is used to drop a Delphi version of the Zekapab first-stage malware which has been previously reported by iDefense analysts .' [/INST] [This:O, report:O, provides:O, a:O, technical:O, overview:O, of:O, a:O, BREXIT-themed:O, lure:O, Microsoft:S-IDTY, Office:S-IDTY, document:O, that:O, is:O, used:O, to:O, drop:O, a:O, Delphi:S-TOOL, version:O, of:O, the:O, Zekapab:S-MAL, first-stage:O, malware:O, which:O, has:O, been:O, previously:O, reported:O, by:O, iDefense:S-IDTY, analysts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , additional research on the C2 server 109.248.148.42 revealed a new .NET version of Zekapab that is designed for the same purpose . iDefense analysts recently came across the following malicious document that is purportedly related to the recent BREXIT negotiations between the UK and the EU .' [/INST] [However:O, ,:O, additional:O, research:O, on:O, the:O, C2:S-TOOL, server:O, 109.248.148.42:S-IP, revealed:O, a:O, new:O, .NET:S-TOOL, version:O, of:O, Zekapab:S-MAL, that:O, is:O, designed:O, for:O, the:O, same:O, purpose:O, .:O, iDefense:S-IDTY, analysts:O, recently:O, came:O, across:O, the:O, following:O, malicious:O, document:O, that:O, is:O, purportedly:O, related:O, to:O, the:O, recent:O, BREXIT:O, negotiations:O, between:O, the:O, UK:S-LOC, and:O, the:O, EU:S-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: 'Brexit 15.11.2018.docx :' [/INST] [Brexit:B-FILE, 15.11.2018.docx:E-FILE, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '405655be03df45881aa88b55603bef1d .' [/INST] [405655be03df45881aa88b55603bef1d: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: 'Of note , the Company name Grizli777 is indicative of a cracked version of Microsoft Word .' [/INST] [Of:O, note:O, ,:O, the:O, Company:O, name:O, Grizli777:S-IDTY, is:O, indicative:O, of:O, a:O, cracked:O, version:O, of:O, Microsoft:S-IDTY, Word:S-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: 'To trick the targeted individual into enabling macros , the attackers deliberately used jumbled-up text as content .' [/INST] [To:O, trick:O, the:O, targeted:O, individual:O, into:O, enabling:O, macros:O, ,:O, the:O, attackers:O, deliberately:O, used:O, jumbled-up:O, text:O, as:O, content:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 loads malicious content from http://109.248.148.42/office/thememl/2012/main/attachedTemplate.dotm via the settings.xml.rels component that is embedded within the DOCX document .' [/INST] [The:O, document:O, loads:O, malicious:O, content:O, from:O, http://109.248.148.42/office/thememl/2012/main/attachedTemplate.dotm:S-URL, via:O, the:O, settings.xml.rels:S-FILE, component:O, that:O, is:O, embedded:O, within:O, the:O, DOCX:S-TOOL, document:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The downloaded macro component includes a function called AutoClose() as well as two payloads embedded via Base64 encoded strings .' [/INST] [The:O, downloaded:O, macro:O, component:O, includes:O, a:O, function:O, called:O, AutoClose():O, as:O, well:O, as:O, two:O, payloads:O, embedded:O, via:O, Base64:S-ENCR, encoded:O, strings:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Research on the malicious IP address 109.248.148.42 revealed two different .dotm components :' [/INST] [Research:O, on:O, the:O, malicious:O, IP:O, address:O, 109.248.148.42:S-IP, revealed:O, two:O, different:O, .dotm:S-FILE, components:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Filename : attachedTemplate.dotm MD5 : 018611b879b2bbd886e86b62484494da Filename : templates.dotm MD5 : 2a794b55b839b3237482098957877326 .' [/INST] [Filename:O, ::O, attachedTemplate.dotm:S-FILE, MD5:S-ENCR, ::O, 018611b879b2bbd886e86b62484494da:S-MD5, Filename:O, ::O, templates.dotm:S-FILE, MD5:S-ENCR, ::O, 2a794b55b839b3237482098957877326: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: 'The two components are dropped from the following URLs respectively :' [/INST] [The:O, two:O, components:O, are:O, dropped:O, from:O, the:O, following:O, URLs:O, respectively:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'http://109.248.148.42/office/thememl/2012/main/attachedTemplate.dotm http://109.248.148.42/officeDocument/2006/relationships/templates.dotm .' [/INST] [http://109.248.148.42/office/thememl/2012/main/attachedTemplate.dotm:S-URL, http://109.248.148.42/officeDocument/2006/relationships/templates.dotm:S-URL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Both components contain an identical VBA macro code as shown above , each containing two different embedded payloads : one is an executable binary file and the other is a .docm file . attachedTemplate.dotm dropped the following :' [/INST] [Both:O, components:O, contain:O, an:O, identical:O, VBA:S-TOOL, macro:O, code:O, as:O, shown:O, above:O, ,:O, each:O, containing:O, two:O, different:O, embedded:O, payloads:O, ::O, one:O, is:O, an:O, executable:O, binary:O, file:O, and:O, the:O, other:O, is:O, a:O, .docm:S-FILE, file:O, .:O, attachedTemplate.dotm:S-FILE, dropped:O, the:O, following:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Filename : ntslwin.exe MD5 : 7e67122d3a052e4755b02965e2e56a2e Filename : ~de03fc12a.docm MD5 : 9d703d31795bac83c4dd90527d149796 . templates.dotm dropped the following :' [/INST] [Filename:O, ::O, ntslwin.exe:S-FILE, MD5:S-ENCR, ::O, 7e67122d3a052e4755b02965e2e56a2e:S-MD5, Filename:O, ::O, ~de03fc12a.docm:S-FILE, MD5:S-ENCR, ::O, 9d703d31795bac83c4dd90527d149796:S-MD5, .:O, templates.dotm:S-FILE, dropped:O, the:O, following:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Filename : ntslwin.exe MD5 : a13c864980159cd9bdc94074b2389dda Filename : ~de03fc12a.docm MD5 : 9d703d31795bac83c4dd90527d149796 .' [/INST] [Filename:O, ::O, ntslwin.exe:S-FILE, MD5:S-ENCR, ::O, a13c864980159cd9bdc94074b2389dda:S-MD5, Filename:O, ::O, ~de03fc12a.docm:S-FILE, MD5:S-ENCR, ::O, 9d703d31795bac83c4dd90527d149796: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: 'The second macro file ~de03fc12a.docm dropped includes a simple macro to execute the dropped executable .' [/INST] [The:O, second:O, macro:O, file:O, ~de03fc12a.docm:S-FILE, dropped:O, includes:O, a:O, simple:O, macro:O, to:O, execute:O, the:O, dropped:O, executable:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Analysis into the two binaries shows that they are in fact a Delphi ( initially UPX packed ) and .NET version of the Zekapab first-stage malware .' [/INST] [Analysis:O, into:O, the:O, two:O, binaries:O, shows:O, that:O, they:O, are:O, in:O, fact:O, a:O, Delphi:S-TOOL, (:O, initially:O, UPX:S-TOOL, packed:O, ):O, and:O, .NET:S-TOOL, version:O, of:O, the:O, Zekapab:S-MAL, first-stage:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The following network traffic is performed by the Delphi sample which has the following metadata once unpacked by UPX :' [/INST] [The:O, following:O, network:O, traffic:O, is:O, performed:O, by:O, the:O, Delphi:S-TOOL, sample:O, which:O, has:O, the:O, following:O, metadata:O, once:O, unpacked:O, by:O, UPX:S-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: 'Filename : ntslwin.exe MD5 : f4cab3a393462a57639faa978a75d10a .' [/INST] [Filename:O, ::O, ntslwin.exe:S-FILE, MD5:S-ENCR, ::O, f4cab3a393462a57639faa978a75d10a: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: 'Exhibit 4 shows the network traffic generated by the sample , a http POST request containing the system information collected .' [/INST] [Exhibit:O, 4:O, shows:O, the:O, network:O, traffic:O, generated:O, by:O, the:O, sample:O, ,:O, a:O, http:S-PROT, POST:O, request:O, containing:O, the:O, system:O, information:O, collected:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On the other hand , the network traffic generated by the .NET version is unencoded .' [/INST] [On:O, the:O, other:O, hand:O, ,:O, the:O, network:O, traffic:O, generated:O, by:O, the:O, .NET:S-TOOL, version:O, is:O, unencoded:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Both versions are designed to collect system information and running processes and send them to the designated C2 server using http POST to the URI used in both cases is /agr-enum/progress-inform/cube.php?res= .' [/INST] [Both:O, versions:O, are:O, designed:O, to:O, collect:O, system:O, information:O, and:O, running:O, processes:O, and:O, send:O, them:O, to:O, the:O, designated:O, C2:S-TOOL, server:O, using:O, http:S-PROT, POST:O, to:O, the:O, URI:O, used:O, in:O, both:O, cases:O, is:O, /agr-enum/progress-inform/cube.php?res=:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 system is deemed interesting , the next stage malware would be delivered into corresponding directories .' [/INST] [If:O, the:O, system:O, is:O, deemed:O, interesting:O, ,:O, the:O, next:O, stage:O, malware:O, would:O, be:O, delivered:O, into:O, corresponding:O, directories:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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-stage malware is delivered to different destinations with an autorun registry key set respectively .' [/INST] [The:O, second-stage:O, malware:O, is:O, delivered:O, to:O, different:O, destinations:O, with:O, an:O, autorun:O, registry:O, key:O, set:O, respectively:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the Delphi version , the following registry key and value are used for persistence :' [/INST] [For:O, the:O, Delphi:S-TOOL, version:O, ,:O, the:O, following:O, registry:O, key:O, and:O, value:O, are:O, used:O, for:O, persistence:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Key : HKCU\Software\Microsoft\Windows\CurrentVersion\Run\AudioMgr Value : %AppData%\Video\videodrv.exe .' [/INST] [Key:O, ::O, HKCU\Software\Microsoft\Windows\CurrentVersion\Run\AudioMgr:O, Value:O, ::O, %AppData%\Video\videodrv.exe:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the .NET version , the following registry key and value are used for persistence :' [/INST] [For:O, the:O, .NET:S-TOOL, version:O, ,:O, the:O, following:O, registry:O, key:O, and:O, value:O, are:O, used:O, for:O, persistence:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Key : HKCU\SOFTWARE\Microsoft\Windows\CurrentVersion\Run\GoogleIndexer Value : %AppData%\Platform\sslwin.exe .' [/INST] [Key:O, ::O, HKCU\SOFTWARE\Microsoft\Windows\CurrentVersion\Run\GoogleIndexer:O, Value:O, ::O, %AppData%\Platform\sslwin.exe:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 list of information collected includes :' [/INST] [The:O, list:O, of:O, information:O, collected:O, includes:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Results from the commands systeminfo and tasklist Current execution path Capture screenshot Drive enumeration Drive serial number .' [/INST] [Results:O, from:O, the:O, commands:O, systeminfo:O, and:O, tasklist:O, Current:O, execution:O, path:O, Capture:O, screenshot:O, Drive:O, enumeration:O, Drive:O, serial:O, number:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 code for downloading and executing the next stage malware .' [/INST] [The:O, code:O, for:O, downloading:O, and:O, executing:O, the:O, next:O, stage:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As shown , the delivery of the next-stage malware is dependent on the information collected .' [/INST] [As:O, shown:O, ,:O, the:O, delivery:O, of:O, the:O, next-stage:O, malware:O, is:O, dependent:O, on:O, the:O, information:O, collected:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 mitigate the threat described in this report , iDefense recommends blocking access to the IP address and URI pattern :' [/INST] [To:O, mitigate:O, the:O, threat:O, described:O, in:O, this:O, report:O, ,:O, iDefense:S-IDTY, recommends:O, blocking:O, access:O, to:O, the:O, IP:O, address:O, and:O, URI:O, pattern:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '109.248.148.42 /agr-enum/progress-inform/cube.php?res= .' [/INST] [109.248.148.42:S-IP, /agr-enum/progress-inform/cube.php?res=:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 threat hunting , iDefense recommends searching for the following :' [/INST] [For:O, threat:O, hunting:O, ,:O, iDefense:O, recommends:O, searching:O, for:O, the:O, following:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Network : Presence of http and DNS traffic to the network IOCs shared above .' [/INST] [Network:O, ::O, Presence:O, of:O, http:S-PROT, and:O, DNS:S-PROT, traffic:O, to:O, the:O, network:O, IOCs:O, shared:O, above:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 : Presence of the following artifacts .' [/INST] [System:O, ::O, Presence:O, of:O, the:O, following:O, artifacts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Persistence mechanism Registry Key :' [/INST] [Persistence:O, mechanism:O, Registry:O, Key:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Key : HKCU\Software\Microsoft\Windows\CurrentVersion\Run\AudioMgr Key : HKCU\SOFTWARE\Microsoft\Windows\CurrentVersion\Run\GoogleIndexer .' [/INST] [Key:O, ::O, HKCU\Software\Microsoft\Windows\CurrentVersion\Run\AudioMgr:O, Key:O, ::O, HKCU\SOFTWARE\Microsoft\Windows\CurrentVersion\Run\GoogleIndexer:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 disk artefacts File with the full path : %AppData%\Video\videodrv.exe File with the full path : %AppData%\Platform\sslwin.exe Files with following file hashes .' [/INST] [On:O, disk:O, artefacts:O, File:O, with:O, the:O, full:O, path:O, ::O, %AppData%\Video\videodrv.exe:S-FILE, File:O, with:O, the:O, full:O, path:O, ::O, %AppData%\Platform\sslwin.exe:S-FILE, Files:O, with:O, following:O, file:O, hashes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '“ Cyber Conflict ” Decoy Document Used In Real Cyber Conflict .' [/INST] [“:O, Cyber:O, Conflict:O, ”:O, Decoy:O, Document:O, Used:O, In:O, Real:O, Cyber:O, Conflict:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cisco Talos discovered a new malicious campaign from the well known actor Group 74 ( aka Tsar Team , Sofacy , APT28 , Fancy Bear ) .' [/INST] [Cisco:O, Talos:O, discovered:O, a:O, new:O, malicious:O, campaign:O, from:O, the:O, well:O, known:O, actor:O, Group:B-APT, 74:E-APT, (:O, aka:O, Tsar:B-APT, Team:E-APT, ,:O, Sofacy:S-APT, ,:O, APT28:S-APT, ,:O, Fancy:B-APT, Bear:E-APT, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ironically the decoy document is a deceptive flyer relating to the Cyber Conflict U.S. conference .' [/INST] [Ironically:O, the:O, decoy:O, document:O, is:O, a:O, deceptive:O, flyer:O, relating:O, to:O, the:O, Cyber:O, Conflict:O, U.S.:S-LOC, conference:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CyCon US is a collaborative effort between the Army Cyber Institute at the United States Military Academy and the NATO Cooperative Cyber Military Academy and the NATO Cooperative Cyber Defence Centre of Excellence .' [/INST] [CyCon:S-IDTY, US:S-LOC, is:O, a:O, collaborative:O, effort:O, between:O, the:O, Army:B-SECTEAM, Cyber:I-SECTEAM, Institute:E-SECTEAM, at:O, the:O, United:B-IDTY, States:I-IDTY, Military:I-IDTY, Academy:E-IDTY, and:O, the:O, NATO:S-IDTY, Cooperative:B-IDTY, Cyber:I-IDTY, Military:I-IDTY, Academy:E-IDTY, and:O, the:O, NATO:S-IDTY, Cooperative:B-IDTY, Cyber:I-IDTY, Defence:I-IDTY, Centre:I-IDTY, of:I-IDTY, Excellence: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: 'Due to the nature of this document , we assume that this campaign targets people with an interest in cyber security .' [/INST] [Due:O, to:O, the:O, nature:O, of:O, this:O, document:O, ,:O, we:O, assume:O, that:O, this:O, campaign:O, targets:O, people:O, with:O, an:O, interest:O, in:O, cyber:O, security:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Unlike previous campaigns from this actor , the flyer does not contain an Office exploit or a 0-day , it simply contains a malicious Visual Basic for Applications ( VBA ) macro .' [/INST] [Unlike:O, previous:O, campaigns:O, from:O, this:O, actor:O, ,:O, the:O, flyer:O, does:O, not:O, contain:O, an:O, Office:O, exploit:O, or:O, a:O, 0-day:O, ,:O, it:O, simply:O, contains:O, a:O, malicious:O, Visual:B-TOOL, Basic:I-TOOL, for:I-TOOL, Applications:E-TOOL, (:O, VBA:S-TOOL, ):O, macro:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 VBA drops and executes a new variant of Seduploader .' [/INST] [The:O, VBA:S-TOOL, drops:O, and:O, executes:O, a:O, new:O, variant:O, of:O, Seduploader: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: 'This reconnaissance malware has been used by Group 74 for years and it is composed of 2 files : a dropper and a payload .' [/INST] [This:O, reconnaissance:O, malware:O, has:O, been:O, used:O, by:O, Group:B-APT, 74:E-APT, for:O, years:O, and:O, it:O, is:O, composed:O, of:O, 2:O, files:O, ::O, a:O, dropper:O, and:O, a: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: 'The dropper and the payload are quite similar to the previous versions but the author modified some public information such as MUTEX name , obfuscation .' [/INST] [The:O, dropper:O, and:O, the:O, payload:O, are:O, quite:O, similar:O, to:O, the:O, previous:O, versions:O, but:O, the:O, author:O, modified:O, some:O, public:O, information:O, such:O, as:O, MUTEX:O, name:O, ,:O, obfuscation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 assume that these modifications were performed to avoid detection based on public IOCs .' [/INST] [We:O, assume:O, that:O, these:O, modifications:O, were:O, performed:O, to:O, avoid:O, detection:O, based:O, on:O, public:O, IOCs:O, .:O] </s> |
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