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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: 'CVE-2018-0798 is an RCE vulnerability , a stack buffer overflow that can be exploited by a threat actor to perform stack corruption .' [/INST] [CVE-2018-0798:S-VULID, is:O, an:O, RCE:O, vulnerability:O, ,:O, a:O, stack:O, buffer:O, overflow:O, that:O, can:O, be:O, exploited:O, by:O, a:O, threat:O, actor:O, to:O, perform:O, stack:O, corruption:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 observed previously with CVE-2017-11882 and CVE-2018-0802 , the weaponizer was used exclusively by Chinese Cyber Espionage actors for approximately one year December 2017 through December 2018 , after which cybercrime actors began to incorporate it in their malicious activity .' [/INST] [As:O, observed:O, previously:O, with:O, CVE-2017-11882:S-VULID, and:O, CVE-2018-0802:S-VULID, ,:O, the:O, weaponizer:S-MAL, was:O, used:O, exclusively:O, by:O, Chinese:O, Cyber:B-ACT, Espionage:E-ACT, actors:S-APT, for:O, approximately:O, one:O, year:O, December:B-TIME, 2017:E-TIME, through:O, December:B-TIME, 2018:E-TIME, ,:O, after:O, which:O, cybercrime:O, actors:O, began:O, to:O, incorporate:O, it:O, in:O, their:O, malicious:O, activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Analysis of the Royal Road weaponizer has resulted in the discovery that multiple Chinese threat groups started utilizing CVE-2018-0798 in their RTF weaponizer .' [/INST] [Analysis:O, of:O, the:O, Royal:O, Road:O, weaponizer:O, has:O, resulted:O, in:O, the:O, discovery:O, that:O, multiple:O, Chinese:O, threat:B-APT, groups:E-APT, started:O, utilizing:O, CVE-2018-0798:S-VULID, in:O, their:O, RTF:B-MAL, weaponizer:E-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: 'These findings also suggest that the threat groups have robust exploit developing capabilities because CVE-2018-0798 is not widely reported on and it is typically not incorporated into publicly available weaponizers .' [/INST] [These:O, findings:O, also:O, suggest:O, that:O, the:O, threat:B-APT, groups:E-APT, have:O, robust:O, exploit:S-VULNAME, developing:O, capabilities:O, because:O, CVE-2018-0798:S-VULID, is:O, not:O, widely:O, reported:O, on:O, and:O, it:O, is:O, typically:O, not:O, incorporated:O, into:O, publicly:O, available:O, weaponizers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Upon opening of the MS Word document , our embedded file exploits CVE-2017-11882 to drop a malicious fake Norton Security Shell Extension module , 'NavShExt.dll' , which is then injected into iexplore.exe to install the backdoor , begin collection , and activate command and control .' [/INST] [Upon:O, opening:O, of:O, the:O, MS:O, Word:S-TOOL, document:O, ,:O, our:O, embedded:O, file:O, exploits:O, CVE-2017-11882:S-VULID, to:O, drop:O, a:O, malicious:O, fake:O, Norton:O, Security:O, Shell:O, Extension:O, module:O, ,:O, 'NavShExt.dll':S-FILE, ,:O, which:O, is:O, then:O, injected:O, into:O, iexplore.exe:S-FILE, to:O, install:O, the:O, backdoor:O, ,:O, begin:O, collection:O, ,:O, and:O, activate:O, command:O, and:O, control:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Moving through the infection process , NetWitness Endpoint detects the initial exploit CVE-2017-1182 in action as the Microsoft Equation Editor , 'EQNEDT32.exe' , scores high for potentially malicious activity .' [/INST] [Moving:O, through:O, the:O, infection:O, process:O, ,:O, NetWitness:O, Endpoint:O, detects:O, the:O, initial:O, exploit:S-VULNAME, CVE-2017-1182:S-VULID, in:O, action:O, as:O, the:O, Microsoft:B-FILE, Equation:I-FILE, Editor:E-FILE, ,:O, 'EQNEDT32.exe':S-FILE, ,:O, scores:O, high:O, for:O, potentially:O, malicious:O, activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attackers relied on Microsoft Equation Editor exploit CVE-2018-0798 to deliver a custom malware that Proofpoint researchers have dubbed Cotx RAT. Maudi Surveillance Operation which was previously reported in 2013 .' [/INST] [Attackers:S-APT, relied:O, on:O, Microsoft:S-IDTY, Equation:O, Editor:O, exploit:S-VULNAME, CVE-2018-0798:S-VULID, to:O, deliver:O, a:O, custom:O, malware:O, that:O, Proofpoint:O, researchers:O, have:O, dubbed:O, Cotx:O, RAT.:O, Maudi:S-APT, Surveillance:O, Operation:O, which:O, was:O, previously:O, reported:O, in:O, 2013: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: 'specifically CVE-2018-0798 , before downloading subsequent payloads .' [/INST] [specifically:O, CVE-2018-0798:S-VULID, ,:O, before:O, downloading:O, subsequent:O, payloads:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dubbed ‘Operation Sheep’ , this massive data stealing campaign is the first known campaign seen in the wild to exploit the Man-in-the-Disk vulnerability revealed by Check Point Research earlier last year .' [/INST] [Dubbed:O, ‘Operation:B-APT, Sheep’:E-APT, ,:O, this:O, massive:O, data:O, stealing:O, campaign:O, is:O, the:O, first:O, known:O, campaign:O, seen:O, in:O, the:O, wild:O, to:O, exploit:S-VULNAME, the:O, Man-in-the-Disk:S-VULNAME, vulnerability:O, revealed:O, by:O, Check:O, Point:O, Research:O, earlier:O, last:O, year:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , APT41 was observed using proof-of-concept exploit code for CVE-2019-3396 within 23 days after the Confluence .' [/INST] [Notably:O, ,:O, APT41:S-APT, was:O, observed:O, using:B-ACT, proof-of-concept:E-ACT, exploit:S-VULNAME, code:O, for:O, CVE-2019-3396:S-VULID, within:O, 23:O, days:O, after:O, the:O, Confluence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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’ve discovered a new version of BalkanDoor with a new method for execution/installation: an exploit of the WinRAR ACE vulnerability CVE-2018-20250 .' [/INST] [We’ve:O, discovered:O, a:O, new:O, version:O, of:O, BalkanDoor:S-APT, with:O, a:O, new:O, method:O, for:O, execution/installation::O, an:O, exploit:S-VULNAME, of:O, the:O, WinRAR:S-TOOL, ACE:O, vulnerability:O, CVE-2018-20250:S-VULID, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 some of the latest samples of BalkanDoor detected in 2019 , the malware is distributed as an ACE archive , disguised as a RAR archive (i.e. , not an executable file) , specially crafted to exploit the WinRAR ACE vulnerability CVE-2018-20250 .' [/INST] [In:O, some:O, of:O, the:O, latest:O, samples:O, of:O, BalkanDoor:S-FILE, detected:O, in:O, 2019:S-TIME, ,:O, the:O, malware:O, is:O, distributed:O, as:O, an:O, ACE:O, archive:O, ,:O, disguised:O, as:O, a:O, RAR:O, archive:O, (i.e.:O, ,:O, not:O, an:O, executable:O, file):O, ,:O, specially:O, crafted:O, to:O, exploit:S-VULNAME, the:O, WinRAR:S-TOOL, ACE:O, vulnerability:O, CVE-2018-20250:S-VULID, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 actor attempts to exploit CVE-2018–8440 — an elevation of privilege vulnerability in Windows when it improperly handles calls to Advanced Local Procedure Call — to elevate the privileges using a modified proof-of-concept exploit .' [/INST] [The:O, actor:S-APT, attempts:O, to:O, exploit:S-VULNAME, CVE-2018–8440:S-VULID, —:O, an:O, elevation:O, of:O, privilege:O, vulnerability:S-VULNAME, in:O, Windows:S-OS, when:O, it:O, improperly:O, handles:O, calls:O, to:O, Advanced:O, Local:O, Procedure:O, Call:O, —:O, to:O, elevate:O, the:O, privileges:O, using:O, a:O, modified:O, proof-of-concept:S-VULNAME, exploit:S-VULNAME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 China Chopper actor activity starts with the download and execution of two exploit files which attempt to exploit the Windows vulnerabilities CVE-2015-0062 , CVE-2015-1701 and CVE-2016-0099 to allow the attacker to modify other objects on the server .' [/INST] [The:O, China:B-FILE, Chopper:E-FILE, actor:O, activity:O, starts:O, with:O, the:O, download:O, and:O, execution:O, of:O, two:O, exploit:S-VULNAME, files:O, which:O, attempt:O, to:O, exploit:S-VULNAME, the:O, Windows:S-OS, vulnerabilities:O, CVE-2015-0062:S-VULID, ,:O, CVE-2015-1701:S-VULID, and:O, CVE-2016-0099:S-VULID, to:O, allow:O, the:O, attacker:S-APT, to:O, modify:O, other:O, objects:O, on:O, the: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: 'Previously , Cloud Atlas dropped its validator” implant named PowerShower” directly , after exploiting the Microsoft Equation vulnerability CVE-2017-11882 mixed with CVE-2018-0802 .' [/INST] [Previously:O, ,:O, Cloud:B-APT, Atlas:E-APT, dropped:O, its:O, validator”:O, implant:O, named:O, PowerShower”:O, directly:O, ,:O, after:O, exploiting:O, the:O, Microsoft:S-IDTY, Equation:O, vulnerability:O, CVE-2017-11882:S-VULID, mixed:O, with:O, CVE-2018-0802:S-VULID, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 archive caught our attention for exploiting a WinRAR unacev2 module vulnerability and for having interesting content .' [/INST] [The:O, following:O, archive:S-FILE, caught:O, our:O, attention:O, for:O, exploiting:O, a:O, WinRAR:S-TOOL, unacev2:O, module:O, vulnerability:S-VULNAME, and:O, for:O, having:O, interesting: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: 'Mimikatz is a post-exploitation tool that allows attackers to extract credentials from volatile memory .' [/INST] [Mimikatz:S-FILE, is:O, a:O, post-exploitation:O, tool:O, that:O, allows:O, attackers:O, to:O, extract:O, credentials:O, 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: 'Analysis of the emails has shown that the attachment contains an exploit for the CVE-2017-11882 vulnerability .' [/INST] [Analysis:O, of:O, the:O, emails:S-TOOL, has:O, shown:O, that:O, the:O, attachment:O, contains:O, an:O, exploit:S-VULNAME, for:O, the:O, CVE-2017-11882:B-VULID, vulnerability:S-VULNAME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 exploit installs Silence’s loader , designed to download backdoors and other malicious programs .' [/INST] [The:O, exploit:S-VULNAME, installs:O, Silence’s:S-APT, loader:O, ,:O, designed:O, to:O, download:O, backdoors:O, and:O, other:O, malicious:O, programs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Emissary Panda exploited a recently patched vulnerability in Microsoft SharePoint tracked by CVE-2019-0604 , which is a remote code execution vulnerability used to compromise the server and eventually install a webshell .' [/INST] [We:O, believe:O, Emissary:B-APT, Panda:E-APT, exploited:O, a:O, recently:O, patched:O, vulnerability:S-VULNAME, in:O, Microsoft:S-IDTY, SharePoint:O, tracked:O, by:O, CVE-2019-0604:S-VULID, ,:O, which:O, is:O, a:O, remote:O, code:O, execution:O, vulnerability:O, used:O, to:O, compromise:O, the:O, server:O, and:O, eventually:O, install:O, a:O, 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: 'Of particular note is their use of tools to identify systems vulnerable to CVE-2017-0144 , which is the same vulnerability exploited by EternalBlue that is best known for its use in the WannaCry attacks of 2017 .' [/INST] [Of:O, particular:O, note:O, is:O, their:O, use:O, of:O, tools:O, to:O, identify:O, systems:O, vulnerable:O, to:O, CVE-2017-0144:S-VULID, ,:O, which:O, is:O, the:O, same:O, vulnerability:O, exploited:O, by:O, EternalBlue:S-ACT, that:O, is:O, best:O, known:O, for:O, its:O, use:O, in:O, the:O, WannaCry:B-ACT, attacks:E-ACT, of:O, 2017: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: 'In addition to the aforementioned post-exploitation tools , the actors used these webshells to upload legitimate executables that they would use DLL sideloading to run a malicious DLL that has code overlaps with known Emissary Panda attacks .' [/INST] [In:O, addition:O, to:O, the:O, aforementioned:O, post-exploitation:O, tools:O, ,:O, the:O, actors:O, used:O, these:O, webshells:S-TOOL, to:O, upload:O, legitimate:O, executables:O, that:O, they:O, would:O, use:O, DLL:S-TOOL, sideloading:O, to:O, run:B-ACT, a:I-ACT, malicious:I-ACT, DLL:E-ACT, that:O, has:O, code:O, overlaps:O, with:O, known:O, Emissary:B-APT, Panda:E-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: 'OSX Malware Linked to Operation Emmental Hijacks User Network Traffic .' [/INST] [OSX:S-OS, Malware:S-MAL, Linked:O, to:O, Operation:O, Emmental:B-ACT, Hijacks:I-ACT, User:I-ACT, Network:I-ACT, Traffic:E-ACT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 OSX_DOK malware ( Detected by Trend Micro as OSX_DOK.C ) showcases sophisticated features such as certificate abuse and security software evasion that affects machines using Apple ’s OS X operating system .' [/INST] [The:O, OSX_DOK:S-MAL, malware:S-MAL, (:O, Detected:O, by:O, Trend:B-SECTEAM, Micro:E-SECTEAM, as:O, OSX_DOK.C:S-MAL, ):O, showcases:O, sophisticated:O, features:O, such:O, as:O, certificate:O, abuse:O, and:O, security:O, software:O, evasion:O, that:O, affects:O, machines:O, using:O, Apple:B-OS, ’s:I-OS, OS:I-OS, X:E-OS, operating: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: 'This malware , which specifically targets Swiss banking users , uses a phishing campaign to drop its payload , which eventually results in the hijacking of a user ’s network traffic using a Man-in-the-Middle ( MitM ) attack .' [/INST] [This:O, malware:S-MAL, ,:O, which:O, specifically:O, targets:O, Swiss:O, banking:O, users:O, ,:O, uses:O, a:O, phishing:B-ACT, campaign:E-ACT, to:O, drop:O, its:O, payload:O, ,:O, which:O, eventually:O, results:O, in:O, the:O, hijacking:O, of:O, a:O, user:O, ’s:O, network:O, traffic:O, using:O, a:O, Man-in-the-Middle:S-ACT, (:O, MitM:S-ACT, ):O, attack:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'OSX_DOK.C seems to be another version of WERDLOD ( Detected by Trend Micro as TROJ_WERDLOD Family ) , which is a malware that was used during the Operation Emmental campaigns—an interesting development that we will tackle further in this blog post .' [/INST] [OSX_DOK.C:S-MAL, seems:O, to:O, be:O, another:O, version:O, of:O, WERDLOD:S-MAL, (:O, Detected:O, by:O, Trend:B-SECTEAM, Micro:E-SECTEAM, as:O, TROJ_WERDLOD:B-MAL, Family:E-MAL, ):O, ,:O, which:O, is:O, a:O, malware:O, that:O, was:O, used:O, during:O, the:O, Operation:B-ACT, Emmental:E-ACT, campaigns—an:O, interesting:O, development:O, that:O, we:O, will:O, tackle:O, further:O, in:O, this:O, blog:O, post:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'OSX_DOK.C first arrives via a phishing email that contains certain files labeled as either .zip or .docx files .' [/INST] [OSX_DOK.C:S-MAL, first:O, arrives:O, via:O, a:O, phishing:B-EMAIL, email:E-EMAIL, that:O, contains:O, certain:O, files:O, labeled:O, as:O, either:O, .zip:O, or:O, .docx:O, files:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The sample we analyzed was a purported message from a police inspector in Zurich allegedly claiming to unsuccessfully contact the recipient .' [/INST] [The:O, sample:O, we:O, analyzed:O, was:O, a:O, purported:O, message:O, from:O, a:O, police:O, inspector:O, in:O, Zurich:S-LOC, allegedly:O, claiming:O, to:O, unsuccessfully:O, contact:O, the:O, recipient:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 also comes with two files attached claiming to contain questions for the user : one is a .zip file , which is a fake OS X app , while the other is a .docx file used to target Windows operating systems using WERDLOD .' [/INST] [The:O, email:S-TOOL, also:O, comes:O, with:O, two:O, files:O, attached:O, claiming:O, to:O, contain:O, questions:O, for:O, the:O, user:O, ::O, one:O, is:O, a:O, .zip:O, file:O, ,:O, which:O, is:O, a:O, fake:O, OS:B-TOOL, X:I-TOOL, app:E-TOOL, ,:O, while:O, the:O, other:O, is:O, a:O, .docx:O, file:O, used:O, to:O, target:O, Windows:S-OS, operating:O, systems:O, using:O, WERDLOD: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: 'Both of these samples work as Banking Trojans and provide similar functionalities .' [/INST] [Both:O, of:O, these:O, samples:O, work:O, as:O, Banking:B-MAL, Trojans:E-MAL, and:O, provide:O, similar:O, functionalities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Some examples of the files used in the email attachment include the following :' [/INST] [Some:O, examples:O, of:O, the:O, files:O, used:O, in:O, the:O, email:S-TOOL, attachment:O, include: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: 'Zahlungsinformationen 01.06.2017.zip .' [/INST] [Zahlungsinformationen:B-FILE, 01.06.2017.zip: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: 'Zahlungsinformationen digitec.zip .' [/INST] [Zahlungsinformationen:B-FILE, digitec.zip: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: 'Dokument 09.06.2017.zip .' [/INST] [Dokument:B-FILE, 09.06.2017.zip: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: 'Dokument 09.06.2017.docx .' [/INST] [Dokument:B-FILE, 09.06.2017.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: '06.2017.docx .' [/INST] [06.2017.docx: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: 'Once the docx file included in the phishing email is clicked , a warning window will pop up .' [/INST] [Once:O, the:O, docx:O, file:O, included:O, in:O, the:O, phishing:B-ACT, email:E-ACT, is:O, clicked:O, ,:O, a:O, warning:O, window:O, will:O, pop:O, up:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After this , the App Store on the system will be removed , followed by a full screen fake OS X update screen .' [/INST] [After:O, this:O, ,:O, the:O, App:B-TOOL, Store:E-TOOL, on:O, the:O, system:O, will:O, be:O, removed:O, ,:O, followed:O, by:O, a:O, full:O, screen:O, fake:O, OS:B-OS, X:E-OS, update:O, screen:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 will ask for a password to run command as root .' [/INST] [It:O, will:O, ask:O, for:O, a:O, password:O, to:O, run:O, command:O, as:O, root:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 will begin to download other utilities .' [/INST] [The:O, malware:O, will:O, begin:O, to:O, download:O, other:O, utilities: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: 'It relies on Homebrew , an open source software package manager to install Golang and Tor .' [/INST] [It:O, relies:O, on:O, Homebrew:S-TOOL, ,:O, an:O, open:O, source:O, software:S-TOOL, package:O, manager:O, to:O, install:O, Golang:S-TOOL, and:O, Tor: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 malware will then install fake certificates in the system to perform a MitM attack without notifying the user .' [/INST] [The:O, malware:O, will:O, then:O, install:O, fake:O, certificates:O, in:O, the:O, system:O, to:O, perform:O, a:O, MitM:B-ACT, attack:E-ACT, without:O, notifying:O, the:O, user:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 structure of the fake App Store matches the application bundle structure and provides both English and German interfaces .' [/INST] [The:O, structure:O, of:O, the:O, fake:O, App:B-TOOL, Store:E-TOOL, matches:O, the:O, application:O, bundle:O, structure:O, and:O, provides:O, both:O, English:S-LOC, and:O, German:S-LOC, interfaces:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 archive in Mac OS X looks like this :' [/INST] [The:O, archive:O, in:O, Mac:B-OS, OS:I-OS, X:E-OS, looks:O, like:O, this:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Mac OS X will run the application if it passes certificates .' [/INST] [Mac:B-OS, OS:I-OS, X:E-OS, will:O, run:O, the:O, application:O, if:O, it:O, passes:O, certificates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this case , the malware is signed off by a “ developer ” , which may actually be a dummy account or that of a compromised user .' [/INST] [In:O, this:O, case:O, ,:O, the:O, malware:O, is:O, signed:O, off:O, by:O, a:O, “:O, developer:O, ”:O, ,:O, which:O, may:O, actually:O, be:O, a:O, dummy:O, account:O, or:O, that:O, of:O, a:O, compromised:O, user:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition , the time stamp on the CA is new , which might mean that it was obtained specifically for this attack .' [/INST] [In:O, addition:O, ,:O, the:O, time:S-TIME, stamp:O, on:O, the:O, CA:S-IDTY, is:O, new:O, ,:O, which:O, might:O, mean:O, that:O, it:O, was:O, obtained:O, specifically:O, for:O, this:O, attack:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 fake certificate imitates the COMODO root certificate .' [/INST] [The:O, fake:O, certificate:O, imitates:O, the:O, COMODO:S-IDTY, root:O, certificate:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Take note that the fake certificate does not contain a COMODO Certificate Authority seal that certifies its validity , as seen in the comparison below :' [/INST] [Take:O, note:O, that:O, the:O, fake:O, certificate:O, does:O, not:O, contain:O, a:O, COMODO:B-IDTY, Certificate:I-IDTY, Authority:E-IDTY, seal:O, that:O, certifies:O, its:O, validity:O, ,:O, as:O, seen:O, in:O, the:O, comparison:O, below:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We noticed that this malware will not work for Mozilla Firefox or Google Chrome since these two browsers have their own root certificates .' [/INST] [We:O, noticed:O, that:O, this:O, malware:O, will:O, not:O, work:O, for:O, Mozilla:B-TOOL, Firefox:E-TOOL, or:O, Google:B-TOOL, Chrome:E-TOOL, since:O, these:O, two:O, browsers:S-TOOL, have:O, their:O, own:O, root:O, certificates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 all the major browsers , only Safari uses the system ’s certificates .' [/INST] [Of:O, all:O, the:O, major:O, browsers:S-TOOL, ,:O, only:O, Safari:S-TOOL, uses:O, the:O, system:O, ’s:O, certificates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 observed the attacker targeting both Windows and Mac OS X in the same spam mail on June 9 , 2017 .' [/INST] [We:O, observed:O, the:O, attacker:O, targeting:O, both:O, Windows:S-OS, and:O, Mac:B-OS, OS:I-OS, X:E-OS, in:O, the:O, same:O, spam:O, mail:O, on:O, June:B-TIME, 9:I-TIME, ,:I-TIME, 2017:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'There is a file shortcut embedded in the malicious .docx file—one that will download an executable file from Dropbox that executes once clicked by the user .' [/INST] [There:O, is:O, a:O, file:O, shortcut:O, embedded:O, in:O, the:O, malicious:O, .docx:S-FILE, file—one:O, that:O, will:O, download:O, an:O, executable:O, file:O, from:O, Dropbox:S-TOOL, that:O, executes:O, once:O, clicked:O, by:O, the:O, user:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 functionalities are similar to the malicious app provided , which includes installing tor and proxy .' [/INST] [The:O, functionalities:O, are:O, similar:O, to:O, the:O, malicious:B-MAL, app:E-MAL, provided:O, ,:O, which:O, includes:O, installing:O, tor:S-TOOL, and:O, proxy: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: 'We have already notified Dropbox about the use of its service for this malware .' [/INST] [We:O, have:O, already:O, notified:O, Dropbox:S-TOOL, about:O, the:O, use:O, of:O, its:O, service:O, for:O, this: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: 'Dropbox has already taken down the links .' [/INST] [Dropbox:S-TOOL, has:O, already:O, taken:O, down:O, the:O, links:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 will install two proxies running on local host port 5555 and 5588 .' [/INST] [The:O, malware:O, will:O, install:O, two:O, proxies:S-TOOL, running:O, on:O, local:O, host:O, port:O, 5555:O, and:O, 5588:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'All of the traffic will be hijacked into the first proxy ( port 5555 ) with the victim ’s external IP address as parameter .' [/INST] [All:O, of:O, the:O, traffic:O, will:O, be:O, hijacked:O, into:O, the:O, first:O, proxy:O, (:O, port:O, 5555:O, ):O, with:O, the:O, victim:O, ’s:O, external:O, IP:O, address:O, as:O, parameter:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ( port 5555 ) proxy first finds the IP parameter .' [/INST] [The:O, first:O, (:O, port:O, 5555:O, ):O, proxy:O, first:O, finds:O, the:O, IP:O, parameter:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 it is not in Switzerland , the traffic will proceed as normal .' [/INST] [If:O, it:O, is:O, not:O, in:O, Switzerland:S-LOC, ,:O, the:O, traffic:O, will:O, proceed:O, as:O, normal:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 it detects an IP located in Switzerland , the malware will run an obfuscated JavaScript code and find its visiting domain .' [/INST] [If:O, it:O, detects:O, an:O, IP:S-IP, located:O, in:O, Switzerland:S-LOC, ,:O, the:O, malware:B-MAL, will:E-MAL, run:O, an:O, obfuscated:O, JavaScript:O, code:O, and:O, find:O, its:O, visiting: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: 'If the domain is in the target , the malware will perform a MitM attack and redirect the traffic to the second proxy ( port 5588 ) , which routes the traffic to the Tor network .' [/INST] [If:O, the:O, domain:O, is:O, in:O, the:O, target:O, ,:O, the:O, malware:O, will:O, perform:O, a:O, MitM:B-ACT, attack:E-ACT, and:O, redirect:O, the:O, traffic:O, to:O, the:O, second:O, proxy:O, (:O, port:O, 5588:O, ):O, ,:O, which:O, routes:O, the:O, traffic:O, to:O, the:O, Tor: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: 'The purpose of these steps is to target users in Switzerland and hijack their traffic After deobfuscating the malware , we found the target domains :' [/INST] [The:O, purpose:O, of:O, these:O, steps:O, is:O, to:O, target:O, users:O, in:O, Switzerland:S-LOC, and:O, hijack:O, their:O, traffic:O, After:O, deobfuscating:O, the:O, malware:O, ,:O, we:O, found:O, the:O, target:O, domains:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 target domain ’s visitors will be redirected into an e-banking login page that looks and acts normally , but is located on dark web sites .' [/INST] [The:O, target:O, domain:O, ’s:O, visitors:O, will:O, be:O, redirected:O, into:O, an:O, e-banking:O, login:O, page:O, that:O, looks:O, and:O, acts:O, normally:O, ,:O, but:O, is:O, located:O, on:O, dark:O, web:O, sites:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , once the victim enters an account and password .' [/INST] [However:O, ,:O, once:O, the:O, victim:O, enters:O, an:O, account:O, and:O, password:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 window will pop out .' [/INST] [A:O, window:O, will:O, pop:O, out:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 pop-out window is just smoke and mirrors , where nothing actually happens once the countdown timer reaches zero .' [/INST] [The:O, pop-out:O, window:O, is:O, just:O, smoke:O, and:O, mirrors:O, ,:O, where:O, nothing:O, actually:O, happens:O, once:O, the:O, countdown:O, timer:O, reaches:O, zero:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 analyzed the webpage and found attackers injecting a script into the webpage .' [/INST] [We:O, analyzed:O, the:O, webpage:O, and:O, found:O, attackers:O, injecting:O, a:O, script:O, into:O, the:O, webpage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once the user enters an account and password , it will initiate POST using AJAX .' [/INST] [Once:O, the:O, user:O, enters:O, an:O, account:O, and:O, password:O, ,:O, it:O, will:O, initiate:O, POST:O, using:O, AJAX:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 POST message is sent to the same site as the fake login page—which an attacker can control inside the Tor network .' [/INST] [The:O, POST:O, message:O, is:O, sent:O, to:O, the:O, same:O, site:O, as:O, the:O, fake:O, login:O, page—which:O, an:O, attacker:O, can:O, control:O, inside:O, the:O, Tor: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: 'We decoded the data section and found not only the account and password , but that it also fingerprinted the user ’s browser and system information .' [/INST] [We:O, decoded:O, the:O, data:O, section:O, and:O, found:O, not:O, only:O, the:O, account:O, and:O, password:O, ,:O, but:O, that:O, it:O, also:O, fingerprinted:O, the:O, user:O, ’s:O, browser:O, and:O, system: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: 'While Operation Emmental was able to bypass two-way authentication by tricking its victims into installing a fake app , we have not observed OSX_DOK.C doing this .' [/INST] [While:O, Operation:B-ACT, Emmental:E-ACT, was:O, able:O, to:O, bypass:O, two-way:O, authentication:O, by:O, tricking:O, its:O, victims:O, into:O, installing:O, a:O, fake:B-TOOL, app:E-TOOL, ,:O, we:O, have:O, not:O, observed:O, OSX_DOK.C:S-MAL, doing:O, this:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , since they can inject code into the webpage , it means they have the ability to do this as well .' [/INST] [However:O, ,:O, since:O, they:O, can:O, inject:O, code:O, into:O, the:O, webpage:O, ,:O, it:O, means:O, they:O, have:O, the:O, ability:O, to:O, do:O, this:O, as:O, well:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 performed static analysis on the sample and found it packed by Ultimate Packer for Executables ( UPX ) , an open source executable packer that can often be abused by malware .' [/INST] [We:O, performed:O, static:O, analysis:O, on:O, the:O, sample:O, and:O, found:O, it:O, packed:O, by:O, Ultimate:B-TOOL, Packer:E-TOOL, for:O, Executables:S-TOOL, (:O, UPX:O, ):O, ,:O, an:O, open:O, source:O, executable:O, packer:O, that:O, can:O, often:O, be:O, abused:O, by:O, malware: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: 'We successfully unpacked the initial sample we found dropped by the UPX unpacker .' [/INST] [We:O, successfully:O, unpacked:O, the:O, initial:O, sample:O, we:O, found:O, dropped:O, by:O, the:O, UPX:B-TOOL, unpacker:E-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 is not obfuscated so we easily found interesting strings here .' [/INST] [The:O, malware:S-MAL, is:O, not:O, obfuscated:O, so:O, we:O, easily:O, found:O, interesting:O, strings:O, here:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We can see that the malware relies on bash shell for most of its setup .' [/INST] [We:O, can:O, see:O, that:O, the:O, malware:S-MAL, relies:O, on:O, bash:O, shell:O, for:O, most:O, of:O, its:O, setup:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 were not able to unpack the sample discovered after June 9 , 2017 .' [/INST] [We:O, were:O, not:O, able:O, to:O, unpack:O, the:O, sample:O, discovered:O, after:O, June:B-TIME, 9:I-TIME, ,:I-TIME, 2017:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The UPX gave a warning message about memory buffer overflow .' [/INST] [The:O, UPX:S-TOOL, gave:O, a:O, warning:O, message:O, about:O, memory:O, buffer:O, overflow:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 author seemingly made unpacking the malware more difficult to slow down or even evade the antivirus engine ’s scanning process .' [/INST] [The:O, malware:S-MAL, author:O, seemingly:O, made:O, unpacking:O, the:O, malware:O, more:O, difficult:O, to:O, slow:O, down:O, or:O, even:O, evade:O, the:O, antivirus:O, engine:O, ’s:O, scanning:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 packer is the same but the malware tries to exploit the undiscovered bug in the UPX library that causes unpack failure .' [/INST] [The:O, packer:O, is:O, the:O, same:O, but:O, the:O, malware:O, tries:O, to:O, exploit:O, the:O, undiscovered:O, bug:O, in:O, the:O, UPX:S-TOOL, library:O, that:O, causes:O, unpack:O, failure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 reported the issues to the UPX team , and they have already fixed it .' [/INST] [We:O, have:O, reported:O, the:O, issues:O, to:O, the:O, UPX:S-TOOL, team:O, ,:O, and:O, they:O, have:O, already:O, fixed:O, it:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The impacted versions of the UPX library are 3.94 , 3.93 , and 3.92 .' [/INST] [The:O, impacted:O, versions:O, of:O, the:O, UPX:S-TOOL, library:O, are:O, 3.94:O, ,:O, 3.93:O, ,:O, and:O, 3.92:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This technique enables the malware to efficiently run while evading unpacking techniques from the AntiVirus-integrated UPX library .' [/INST] [This:O, technique:O, enables:O, the:O, malware:O, to:O, efficiently:O, run:O, while:O, evading:O, unpacking:O, techniques:O, from:O, the:O, AntiVirus-integrated:O, UPX:O, library:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 mentioned earlier , we believe that OSX_DOK.C might be the MAC OS X version of WERDLOD , an online banking malware that used the same techniques as Operation Emmental .' [/INST] [As:O, mentioned:O, earlier:O, ,:O, we:O, believe:O, that:O, OSX_DOK.C:S-MAL, might:O, be:O, the:O, MAC:S-OS, OS:O, X:O, version:O, of:O, WERDLOD:S-MAL, ,:O, an:O, online:O, banking:O, malware:S-MAL, that:O, used:O, the:O, same:O, techniques:O, as:O, Operation:B-TOOL, Emmental:E-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: 'Other research have also connected the OSX malware and Retefe ( the external term used for WERDLOD ) via similarities in their behavior .' [/INST] [Other:O, research:O, have:O, also:O, connected:O, the:O, OSX:S-OS, malware:O, and:O, Retefe:O, (:O, the:O, external:O, term:O, used:O, for:O, WERDLOD:S-MAL, ):O, via:O, similarities:O, in:O, their:O, behavior:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 OSX_DOK.C is designed for OS X , which is a Unix-like system , WERDLOD is designed for Windows .' [/INST] [While:O, OSX_DOK.C:S-MAL, is:O, designed:O, for:O, OS:I-TOOL, X:E-TOOL, ,:O, which:O, is:O, a:O, Unix-like:O, system:O, ,:O, WERDLOD:S-MAL, is:O, designed:O, for:O, Windows:S-OS, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'But in terms of features and behaviors , these two malware are very similar .' [/INST] [But:O, in:O, terms:O, of:O, features:O, and:O, behaviors:O, ,:O, these:O, two:O, malware:O, are:O, very:O, similar:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Here is a list of their similarities .' [/INST] [Here:O, is:O, a:O, list:O, of:O, their:O, similarities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malware kill all current browsers before installing fake certificates :' [/INST] [Both:O, malware:O, kill:O, all:O, current:O, browsers:O, before:O, installing:O, fake:O, certificates:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 WERDLOD and OSX_DOK.C are designed to kill the browser process before installing fake certificates .' [/INST] [Both:O, WERDLOD:S-MAL, and:O, OSX_DOK.C:S-MAL, are:O, designed:O, to:O, kill:O, the:O, browser:O, process:O, before:O, installing:O, fake:O, certificates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 WERDLOD kills processes for Internet Explorer , Firefox , and Chrome , OSX_DOK.C does the same on Safari , Firefox , and Chrome .' [/INST] [While:O, WERDLOD:S-MAL, kills:O, processes:O, for:O, Internet:B-TOOL, Explorer:E-TOOL, ,:O, Firefox:S-TOOL, ,:O, and:O, Chrome:S-TOOL, ,:O, OSX_DOK.C:S-MAL, does:O, the:O, same:O, on:O, Safari:S-TOOL, ,:O, Firefox:S-TOOL, ,:O, and:O, Chrome: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: 'Both malware share the same proxy settings and script :' [/INST] [Both:O, malware:S-MAL, share:O, the:O, same:O, proxy:O, settings:O, and:O, script:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 WERDLOD and OSX_DOK.C use different codes ( since they target different operating systems ) , they have similar proxy settings and script formats .' [/INST] [While:O, WERDLOD:S-MAL, and:O, OSX_DOK.C:S-MAL, use:O, different:O, codes:O, (:O, since:O, they:O, target:O, different:O, operating:O, systems:O, ):O, ,:O, they:O, have:O, similar:O, proxy:O, settings:O, and:O, script:O, formats:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 particular , WERDLOD uses scripts running on http://127.0.0.1:5555/#{random_string}.js?ip=#{my_ip} as proxy :' [/INST] [In:O, particular:O, ,:O, WERDLOD:S-MAL, uses:O, scripts:O, running:O, on:O, http://127.0.0.1:5555/#{random_string}.js?ip=#{my_ip}:S-URL, as:O, proxy:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Comparing it to OSX_DOK.C , we can see that it uses the same script format .' [/INST] [Comparing:O, it:O, to:O, OSX_DOK.C:S-MAL, ,:O, we:O, can:O, see:O, that:O, it:O, uses:O, the:O, same:O, script: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: 'Both malware have similar targets .' [/INST] [Both:O, malware:S-MAL, have:O, similar: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: 'Both WERDLOD and OSX_DOK.C targeted financial institutions , with a particular focus on banks in Switzerland .' [/INST] [Both:O, WERDLOD:S-MAL, and:O, OSX_DOK.C:S-MAL, targeted:O, financial:O, institutions:O, ,:O, with:O, a:O, particular:O, focus:O, on:O, banks:O, in:O, Switzerland: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: 'Further analysis of both malware revealed that their main targets are very similar , as seen in the screenshot below .' [/INST] [Further:O, analysis:O, of:O, both:O, malware:S-MAL, revealed:O, that:O, their:O, main:O, targets:O, are:O, very:O, similar:O, ,:O, as:O, seen:O, in:O, the:O, screenshot:O, below:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While it ’s possible that this is a coincidence , the rest of the evidence makes it unlikely for these two malware to target the same organizations by chance .' [/INST] [While:O, it:O, ’s:O, possible:O, that:O, this:O, is:O, a:O, coincidence:O, ,:O, the:O, rest:O, of:O, the:O, evidence:O, makes:O, it:O, unlikely:O, for:O, these:O, two:O, malware:S-MAL, to:O, target:O, the:O, same:O, organizations:O, by:O, chance:O, .:O] </s> |