text
stringlengths 309
3.43k
|
|---|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 typically targets Central Asian countries , Russia , Belarus , Mongolia , and others .' [/INST] [The:O, actor:O, typically:O, targets:O, Central:O, Asian:O, countries:O, ,:O, Russia:S-LOC, ,:O, Belarus:S-LOC, ,:O, Mongolia:S-LOC, ,:O, and:O, others:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'TA549 possesses a diverse malware arsenal including PlugX , NetTraveler , and ZeroT .' [/INST] [TA549:S-APT, possesses:O, a:O, diverse:O, malware:O, arsenal:O, including:O, PlugX:S-MAL, ,:O, NetTraveler:S-MAL, ,:O, and:O, ZeroT: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: 'In this blog , we also document other 2017 activity so far by this attack group , including their distribution of ZeroT malware and secondary payloads .' [/INST] [In:O, this:O, blog:O, ,:O, we:O, also:O, document:O, other:O, 2017:S-TIME, activity:O, so:O, far:O, by:O, this:O, attack:O, group:O, ,:O, including:O, their:O, distribution:O, of:O, ZeroT:S-MAL, malware:O, and:O, secondary: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: 'In this campaign , attackers used a Microsoft Word document called 0721.doc , which exploits CVE-2017-0199 .' [/INST] [In:O, this:O, campaign:O, ,:O, attackers:O, used:O, a:O, Microsoft:S-IDTY, Word:S-TOOL, document:O, called:O, 0721.doc:S-FILE, ,:O, which:O, exploits:O, CVE-2017-0199: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: 'This vulnerability was disclosed and patched days prior to this attack .' [/INST] [This:O, vulnerability:O, was:O, disclosed:O, and:O, patched:O, days:O, prior:O, to: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 document uses the logic flaw to first download the file power.rtf from http://122.9.52.215/news/power.rtf .' [/INST] [The:O, document:O, uses:O, the:O, logic:O, flaw:O, to:O, first:O, download:O, the:O, file:O, power.rtf:S-FILE, from:O, http://122.9.52.215/news/power.rtf: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: 'The payload is actually an HTML Application ( HTA ) file , not an RTF document .' [/INST] [The:O, payload:O, is:O, actually:O, an:O, HTML:S-TOOL, Application:O, (:O, HTA:S-TOOL, ):O, file:O, ,:O, not:O, an:O, RTF: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 HTA βs VBScript changes the window size and location and then uses PowerShell to download yet another script : power.ps1 .' [/INST] [The:O, HTA:S-TOOL, βs:O, VBScript:S-TOOL, changes:O, the:O, window:S-OS, size:O, and:O, location:O, and:O, then:O, uses:O, PowerShell:S-TOOL, to:O, download:O, yet:O, another:O, script:O, ::O, power.ps1: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: 'This is a PowerShell script that downloads and runs the ZeroT payload cgi.exe .' [/INST] [This:O, is:O, a:O, PowerShell:S-TOOL, script:O, that:O, downloads:O, and:O, runs:O, the:O, ZeroT:S-MAL, payload:O, cgi.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 attack group has made incremental changes to ZeroT since our last analysis .' [/INST] [The:O, attack:O, group:O, has:O, made:O, incremental:O, changes:O, to:O, ZeroT:S-MAL, since:O, our:O, last:O, analysis:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 they still use RAR SFX format for the initial payloads , ZeroT now uses a the legitimate McAfee utility ( SHA256 3124fcb79da0bdf9d0d1995e37b06f7929d83c1c4b60e38c104743be71170efe ) named mcut.exe instead of the Norman Safeground AS for sideloading as they have in the past .' [/INST] [While:O, they:O, still:O, use:O, RAR:S-TOOL, SFX:S-TOOL, format:O, for:O, the:O, initial:O, payloads:O, ,:O, ZeroT:S-MAL, now:O, uses:O, a:O, the:O, legitimate:O, McAfee:S-IDTY, utility:O, (:O, SHA256:S-ENCR, 3124fcb79da0bdf9d0d1995e37b06f7929d83c1c4b60e38c104743be71170efe:S-SHA2, ):O, named:O, mcut.exe:S-FILE, instead:O, of:O, the:O, Norman:B-SECTEAM, Safeground:I-SECTEAM, AS:E-SECTEAM, for:O, sideloading:O, as:O, they:O, have:O, in:O, the:O, past:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 encrypted ZeroT payload , named Mctl.mui , is decoded in memory revealing a similarly tampered PE header and only slightly modified code when compared to ZeroT payloads we analyzed previously .' [/INST] [The:O, encrypted:O, ZeroT:S-MAL, payload:O, ,:O, named:O, Mctl.mui:S-FILE, ,:O, is:O, decoded:O, in:O, memory:O, revealing:O, a:O, similarly:O, tampered:O, PE:S-TOOL, header:O, and:O, only:O, slightly:O, modified:O, code:O, when:O, compared:O, to:O, ZeroT:S-MAL, payloads:O, we:O, analyzed:O, previously:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ZeroT is running , we observed that the fake User-Agent used in the requests changed from β Mozilla/6.0 ( compatible ; MSIE 10.0 ; Windows NT 6.2 ; Tzcdrnt/6.0 ) β to β Mozilla/6.0 ( compatible ; MSIE 11.0 ; Windows NT 6.2 ) β , thus removing the β Tzcdrnt β typo observed in previous versions .' [/INST] [Once:O, ZeroT:S-MAL, is:O, running:O, ,:O, we:O, observed:O, that:O, the:O, fake:O, User-Agent:O, used:O, in:O, the:O, requests:O, changed:O, from:O, β:O, Mozilla/6.0:O, (:O, compatible:O, ;:O, MSIE:O, 10.0:O, ;:O, Windows:S-OS, NT:O, 6.2:O, ;:O, Tzcdrnt/6.0:O, ):O, β:O, to:O, β:O, Mozilla/6.0:O, (:O, compatible:O, ;:O, MSIE:O, 11.0:O, ;:O, Windows:S-OS, NT:O, 6.2:O, ):O, β:O, ,:O, thus:O, removing:O, the:O, β:O, Tzcdrnt:O, β:O, typo:O, observed:O, in:O, previous:O, versions:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 initial beacon to index.php changed to index.txt but ZeroT still expects an RC4 encrypted response using a static key : β (*^GF (9042&* β .' [/INST] [The:O, initial:O, beacon:O, to:O, index.php:S-FILE, changed:O, to:O, index.txt:S-FILE, but:O, ZeroT:S-MAL, still:O, expects:O, an:O, RC4:S-ENCR, encrypted:O, response:O, using:O, a:O, static:O, key:O, ::O, β:O, (*^GF:O, (9042&*:O, β:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Next , ZeroT uses HTTP beacons to transmit information about the infected system to the command and control ( C&C ) .' [/INST] [Next:O, ,:O, ZeroT:S-MAL, uses:O, HTTP:S-PROT, beacons:O, to:O, transmit:O, information:O, about:O, the:O, infected:O, system:O, to:O, the:O, command:B-TOOL, and:I-TOOL, control:E-TOOL, (:O, C&C:S-TOOL, ):O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'All posts are encrypted , unlike the last time we analyzed a sample from this actor , when the first POST was accidentally not encrypted .' [/INST] [All:O, posts:O, are:O, encrypted:O, ,:O, unlike:O, the:O, last:O, time:O, we:O, analyzed:O, a:O, sample:O, from:O, this:O, actor:O, ,:O, when:O, the:O, first:O, POST:O, was:O, accidentally:O, not:O, encrypted:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 that , stage 2 payloads are still retrieved as Bitmap ( BMP ) images that use Least Significant Bit ( LSB ) Steganography to hide the real payloads .' [/INST] [After:O, that:O, ,:O, stage:O, 2:O, payloads:O, are:O, still:O, retrieved:O, as:O, Bitmap:S-TOOL, (:O, BMP:S-TOOL, ):O, images:S-TOOL, that:O, use:O, Least:B-TOOL, Significant:I-TOOL, Bit:E-TOOL, (:O, LSB:S-TOOL, ):O, Steganography:S-TOOL, to:O, hide:O, the:O, real: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: 'These images appear normal in image viewers .' [/INST] [These:O, images:S-TOOL, appear:O, normal:O, in:O, image:S-TOOL, viewers:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 stage 2 payload was PlugX that beaconed to C&C servers www.icefirebest.com and www.icekkk.net .' [/INST] [The:O, stage:O, 2:O, payload:O, was:O, PlugX:S-MAL, that:O, beaconed:O, to:O, C&C:S-TOOL, servers:O, www.icefirebest.com:S-DOM, and:O, www.icekkk.net:S-DOM, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Throughout 2017 we observed this threat actor actively attempting to compromise victims with various malware payloads .' [/INST] [Throughout:O, 2017:S-TIME, we:O, observed:O, this:O, threat:O, actor:O, actively:O, attempting:O, to:O, compromise:O, victims:O, with:O, various:O, malware: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: 'ZeroT remained the primary stage 1 payload , but the stage 2 payloads varied .' [/INST] [ZeroT:S-MAL, remained:O, the:O, primary:O, stage:O, 1:O, payload:O, ,:O, but:O, the:O, stage:O, 2:O, payloads:O, varied:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One such interesting example was β ΠΠΠΠ_Π ΠΠΠΠΠΠΠ¦ΠΠ_ΠΠ ΠΠΠΠ’Π.rar β ( SHA256 b5c208e4fb8ba255883f771d384ca85566c7be8adcf5c87114a62efb53b73fda ) .' [/INST] [One:O, such:O, interesting:O, example:O, was:O, β:O, ΠΠΠΠ_Π ΠΠΠΠΠΠΠ¦ΠΠ_ΠΠ ΠΠΠΠ’Π.rar:S-FILE, β:O, (:O, SHA256:S-ENCR, b5c208e4fb8ba255883f771d384ca85566c7be8adcf5c87114a62efb53b73fda:S-SHA2, ):O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Translated from Russian , this file is named β PROJECT_REALIZATION_PLAN.rar β and contains a compressed .scr executable .' [/INST] [Translated:O, from:O, Russian:O, ,:O, this:O, file:O, is:O, named:O, β:O, PROJECT_REALIZATION_PLAN.rar:S-FILE, β:O, and:O, contains:O, a:O, compressed:O, .scr:S-FILE, 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: 'This ZeroT executable communicated with the C&C domain www.kz-info.net and downloaded PlugX as well as an additional Trojan which communicated with the www.ruvim.net C&C server .' [/INST] [This:O, ZeroT:S-MAL, executable:O, communicated:O, with:O, the:O, C&C:S-TOOL, domain:O, www.kz-info.net:S-DOM, and:O, downloaded:O, PlugX:S-MAL, as:O, well:O, as:O, an:O, additional:O, Trojan:S-MAL, which:O, communicated:O, with:O, the:O, www.ruvim.net:S-DOM, C&C:S-TOOL, 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: 'is a payload that we do not see this group using frequently .' [/INST] [is:O, a:O, payload:O, that:O, we:O, do:O, not:O, see:O, this:O, group:O, using:O, frequently:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 interesting ZeroT sample ( SHA256 bc2246813d7267608e1a80a04dac32da9115a15b1550b0c4842b9d6e2e7de374 ) contained the executable 0228.exe and a decoy document 0228.doc in the RAR SFX archive .' [/INST] [Another:O, interesting:O, ZeroT:S-MAL, sample:O, (:O, SHA256:S-ENCR, bc2246813d7267608e1a80a04dac32da9115a15b1550b0c4842b9d6e2e7de374:S-SHA2, ):O, contained:O, the:O, executable:O, 0228.exe:S-FILE, and:O, a:O, decoy:O, document:O, 0228.doc:S-FILE, in:O, the:O, RAR:S-TOOL, SFX:S-TOOL, archive:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Bundling decoy documents is a common tactic by this group .' [/INST] [Bundling:O, decoy:O, documents:O, is:O, a:O, common:O, tactic:O, by:O, this: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: 'RAR SFX directives are used to display the decoy while the malicious payload is executed .' [/INST] [RAR:S-TOOL, SFX:S-TOOL, directives:O, are:O, used:O, to:O, display:O, the:O, decoy:O, while:O, the:O, malicious:O, payload:O, is:O, executed:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We suspect that this specific lure was copied from the news article http://www.cis.minsk.by/news.php?id=7557 .' [/INST] [We:O, suspect:O, that:O, this:O, specific:O, lure:O, was:O, copied:O, from:O, the:O, news:O, article:O, http://www.cis.minsk.by/news.php?id=7557: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: 'TA459 is well-known for targeting organizations in Russia and neighboring countries .' [/INST] [TA459:S-APT, is:O, well-known:O, for:O, targeting:O, organizations:O, in:O, Russia:S-LOC, and:O, neighboring:O, countries:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , their strategy , tactics , techniques , and procedures in this particular attack emphasize the importance of rigorous patching regimens for all organizations .' [/INST] [However:O, ,:O, their:O, strategy:O, ,:O, tactics:O, ,:O, techniques:O, ,:O, and:O, procedures:O, in:O, this:O, particular:O, attack:O, emphasize:O, the:O, importance:O, of:O, rigorous:O, patching:O, regimens:O, for:O, all:O, organizations:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Even as software vulnerabilities often take a back seat to human exploits and social engineering , robust defenses must include protection at the email gateway , proactive patch management , and thoughtful end user education .' [/INST] [Even:O, as:O, software:O, vulnerabilities:O, often:O, take:O, a:O, back:O, seat:O, to:O, human:O, exploits:O, and:O, social:O, engineering:O, ,:O, robust:O, defenses:O, must:O, include:O, protection:O, at:O, the:O, email:S-TOOL, gateway:O, ,:O, proactive:O, patch:O, management:O, ,:O, and:O, thoughtful:O, end:O, user:O, education:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Paying attention to the details of past attacks is also an important means of preparing for future attacks .' [/INST] [Paying:O, attention:O, to:O, the:O, details:O, of:O, past:O, attacks:O, is:O, also:O, an:O, important:O, means:O, of:O, preparing:O, for:O, future:O, 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: 'Noting who is targeted , with what malware , and with what types of lures provide clues with which organizations can improve their security posture .' [/INST] [Noting:O, who:O, is:O, targeted:O, ,:O, with:O, what:O, malware:O, ,:O, and:O, with:O, what:O, types:O, of:O, lures:O, provide:O, clues:O, with:O, which:O, organizations:O, can:O, improve:O, their:O, security:O, posture:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'At the same time , multinational organizations like the financial services firms targeted here must be acutely aware of the threats from state-sponsored actors working with sophisticated malware to compromise users and networks .' [/INST] [At:O, the:O, same:O, time:O, ,:O, multinational:O, organizations:O, like:O, the:O, financial:O, services:O, firms:O, targeted:O, here:O, must:O, be:O, acutely:O, aware:O, of:O, the:O, threats:O, from:O, state-sponsored:O, actors:O, working:O, with:O, sophisticated:O, malware:O, to:O, compromise:O, users:O, and:O, networks:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ongoing activity from attack groups like TA459 who consistently target individuals specializing in particular areas of research and expertise further complicate an already difficult security situation for organizations dealing with more traditional malware threats , phishing campaigns , and socially engineered threats every day .' [/INST] [Ongoing:O, activity:O, from:O, attack:O, groups:O, like:O, TA459:S-APT, who:O, consistently:O, target:O, individuals:O, specializing:O, in:O, particular:O, areas:O, of:O, research:O, and:O, expertise:O, further:O, complicate:O, an:O, already:O, difficult:O, security:O, situation:O, for:O, organizations:O, dealing:O, with:O, more:O, traditional:O, malware:O, threats:O, ,:O, phishing:S-ACT, campaigns:O, ,:O, and:O, socially:O, engineered:O, threats:O, every:O, day:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly : Revealing the secret life of your code signing certificates .' [/INST] [Suckfly:S-APT, ::O, Revealing:O, the:O, secret:O, life:O, of:O, your:O, code:O, signing: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: 'Release_Time : 2016-03-15 Report_URL : https://community.broadcom.com/symantecenterprise/communities/community-home/librarydocuments/viewdocument?DocumentKey=62e325ae-f551-4855-b9cf-28a7d52d1534&CommunityKey=1ecf5f55-9545-44d6-b0f4-4e4a7f5f5e68&tab=librarydocuments' [/INST] [Release_Time:O, ::O, 2016-03-15:O, Report_URL:O, ::O, https://community.broadcom.com/symantecenterprise/communities/community-home/librarydocuments/viewdocument?DocumentKey=62e325ae-f551-4855-b9cf-28a7d52d1534&CommunityKey=1ecf5f55-9545-44d6-b0f4-4e4a7f5f5e68&tab=librarydocuments:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In late 2015 , Symantec identified suspicious activity involving a hacking tool used in a malicious manner against one of our customers .' [/INST] [In:O, late:B-TIME, 2015:E-TIME, ,:O, Symantec:S-SECTEAM, identified:O, suspicious:O, activity:O, involving:O, a:O, hacking:O, tool:O, used:O, in:O, a:O, malicious:O, manner:O, against:O, one:O, of:O, our:O, customers:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Normally , this is considered a low-level alert easily defeated by security software .' [/INST] [Normally:O, ,:O, this:O, is:O, considered:O, a:O, low-level:O, alert:O, easily:O, defeated:O, by:O, security:O, software:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , however , the hacktool had an unusual characteristic not typically seen with this type of file ; it was signed with a valid code-signing certificate .' [/INST] [In:O, this:O, case:O, ,:O, however:O, ,:O, the:O, hacktool:O, had:O, an:O, unusual:O, characteristic:O, not:O, typically:O, seen:O, with:O, this:O, type:O, of:O, file:O, ;:O, it:O, was:O, signed:O, with:O, a:O, valid:O, code-signing: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: 'Many hacktools are made for less than ethical purposes and are freely available , so this was an initial red flag , which led us to investigate further .' [/INST] [Many:O, hacktools:O, are:O, made:O, for:O, less:O, than:O, ethical:O, purposes:O, and:O, are:O, freely:O, available:O, ,:O, so:O, this:O, was:O, an:O, initial:O, red:O, flag:O, ,:O, which:O, led:O, us:O, to:O, investigate:O, further:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 our investigation continued , we soon realized this was much larger than a few hacktools .' [/INST] [As:O, our:O, investigation:O, continued:O, ,:O, we:O, soon:O, realized:O, this:O, was:O, much:O, larger:O, than:O, a:O, few:O, hacktools:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 discovered Suckfly , an advanced threat group , conducting targeted attacks using multiple stolen certificates , as well as hacktools and custom malware .' [/INST] [We:O, discovered:O, Suckfly:S-APT, ,:O, an:O, advanced:O, threat:O, group:O, ,:O, conducting:O, targeted:O, attacks:O, using:O, multiple:O, stolen:O, certificates:O, ,:O, as:O, well:O, as:O, hacktools:O, and:O, custom: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 group had obtained the certificates through pre-attack operations before commencing targeted attacks against a number of government and commercial organizations spread across multiple continents over a two-year period .' [/INST] [The:O, group:O, had:O, obtained:O, the:O, certificates:O, through:O, pre-attack:O, operations:O, before:O, commencing:O, targeted:O, attacks:O, against:O, a:O, number:O, of:O, government:O, and:O, commercial:O, organizations:O, spread:O, across:O, multiple:O, continents:O, over:O, a:O, two-year:O, period:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This type of activity and the malicious use of stolen certificates emphasizes the importance of safeguarding certificates to prevent them from being used maliciously .' [/INST] [This:O, type:O, of:O, activity:O, and:O, the:O, malicious:O, use:O, of:O, stolen:O, certificates:O, emphasizes:O, the:O, importance:O, of:O, safeguarding:O, certificates:O, to:O, prevent:O, them:O, from:O, being:O, used:O, maliciously:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly has a number of hacktools and malware varieties at its disposal : Back door , Keylogger , Port scanner , Misc. tool , Exploit , Credential dumper , Privilage escalation .' [/INST] [Suckfly:S-APT, has:O, a:O, number:O, of:O, hacktools:O, and:O, malware:O, varieties:O, at:O, its:O, disposal:O, ::O, Back:B-TOOL, door:E-TOOL, ,:O, Keylogger:S-TOOL, ,:O, Port:B-TOOL, scanner:E-TOOL, ,:O, Misc.:S-TOOL, tool:O, ,:O, Exploit:S-TOOL, ,:O, Credential:O, dumper:S-TOOL, ,:O, Privilage:B-VULNAME, escalation:E-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 first signed hacktool we identified in late 2015 was a digitally signed brute-force server message block ( SMB ) scanner .' [/INST] [The:O, first:O, signed:O, hacktool:O, we:O, identified:O, in:O, late:B-TIME, 2015:E-TIME, was:O, a:O, digitally:O, signed:O, brute-force:O, server:B-TOOL, message:I-TOOL, block:E-TOOL, (:O, SMB:S-TOOL, ):O, scanner:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 organization associated with this certificate is a South Korean mobile software developer .' [/INST] [The:O, organization:O, associated:O, with:O, this:O, certificate:O, is:O, a:O, South:O, Korean:O, mobile:O, software:O, developer:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While we became initially curious because the hacktool was signed , we became more suspicious when we realized a mobile software developer had signed it , since this is not the type of software typically associated with a mobile application .' [/INST] [While:O, we:O, became:O, initially:O, curious:O, because:O, the:O, hacktool:O, was:O, signed:O, ,:O, we:O, became:O, more:O, suspicious:O, when:O, we:O, realized:O, a:O, mobile:O, software:O, developer:O, had:O, signed:O, it:O, ,:O, since:O, this:O, is:O, not:O, the:O, type:O, of:O, software:O, typically:O, associated:O, with:O, a:O, mobile:O, application:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Based on this discovery , we began to look for other binaries signed with the South Korean mobile software developer's certificate .' [/INST] [Based:O, on:O, this:O, discovery:O, ,:O, we:O, began:O, to:O, look:O, for:O, other:O, binaries:O, signed:O, with:O, the:O, South:O, Korean:O, mobile:O, software:O, developer's: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: 'This led to the discovery of three additional hacktools also signed using this certificate .' [/INST] [This:O, led:O, to:O, the:O, discovery:O, of:O, three:O, additional:O, hacktools:O, also:O, signed:O, using:O, this: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: 'In addition to being signed with a stolen certificate , the identified hacktools had been used in suspicious activity against a US based health provider operating in India .' [/INST] [In:O, addition:O, to:O, being:O, signed:O, with:O, a:O, stolen:O, certificate:O, ,:O, the:O, identified:O, hacktools:O, had:O, been:O, used:O, in:O, suspicious:O, activity:O, against:O, a:O, US:S-LOC, based:O, health:O, provider:O, operating:O, in:O, India: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: 'This evidence indicates that the certificate βs rightful owner either misused it or it had been stolen from them .' [/INST] [This:O, evidence:O, indicates:O, that:O, the:O, certificate:O, βs:O, rightful:O, owner:O, either:O, misused:O, it:O, or:O, it:O, had:O, been:O, stolen:O, from:O, them:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 worked with the certificate owner to confirm that the hacktool was not associated with them .' [/INST] [Symantec:S-SECTEAM, worked:O, with:O, the:O, certificate:O, owner:O, to:O, confirm:O, that:O, the:O, hacktool:O, was:O, not:O, associated:O, with:O, them:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Following the trail further , we traced malicious traffic back to where it originated from and looked for additional evidence to indicate that the attacker persistently used the same infrastructure .' [/INST] [Following:O, the:O, trail:O, further:O, ,:O, we:O, traced:O, malicious:O, traffic:O, back:O, to:O, where:O, it:O, originated:O, from:O, and:O, looked:O, for:O, additional:O, evidence:O, to:O, indicate:O, that:O, the:O, attacker:O, persistently:O, used:O, the:O, same:O, infrastructure:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We discovered the activity originated from three separate IP addresses , all located in Chengdu , China .' [/INST] [We:O, discovered:O, the:O, activity:O, originated:O, from:O, three:O, separate:O, IP:S-PROT, addresses:O, ,:O, all:O, located:O, in:O, Chengdu:S-LOC, ,:O, China: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: 'In addition to the traffic originating from Chengdu , we identified a selection of hacktools and malware signed using nine stolen certificates .' [/INST] [In:O, addition:O, to:O, the:O, traffic:O, originating:O, from:O, Chengdu:S-LOC, ,:O, we:O, identified:O, a:O, selection:O, of:O, hacktools:O, and:O, malware:O, signed:O, using:O, nine:O, stolen: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: 'The nine stolen certificates originated from nine different companies who are physically located close together around the central districts of Seoul , South Korea .' [/INST] [The:O, nine:O, stolen:O, certificates:O, originated:O, from:O, nine:O, different:O, companies:O, who:O, are:O, physically:O, located:O, close:O, together:O, around:O, the:O, central:O, districts:O, of:O, Seoul:S-LOC, ,:O, South:B-LOC, Korea:E-LOC, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We don't know the exact date Suckfly stole the certificates from the South Korean organizations .' [/INST] [We:O, don't:O, know:O, the:O, exact:O, date:O, Suckfly:S-APT, stole:O, the:O, certificates:O, from:O, the:O, South:O, Korean:O, organizations:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , by analyzing the dates when we first saw the certificates paired with hacktools or malware , we can gain insight into when the certificates may have been stolen .' [/INST] [However:O, ,:O, by:O, analyzing:O, the:O, dates:O, when:O, we:O, first:O, saw:O, the:O, certificates:O, paired:O, with:O, hacktools:O, or:O, malware:O, ,:O, we:O, can:O, gain:O, insight:O, into:O, when:O, the:O, certificates:O, may:O, have:O, been:O, stolen:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 4 details how many times each stolen certificate was used in a given month .' [/INST] [Figure:O, 4:O, details:O, how:O, many:O, times:O, each:O, stolen:O, certificate:O, was:O, used:O, in:O, a:O, given:O, month:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 sighting of three of the nine stolen certificates being used maliciously occurred in early 2014 .' [/INST] [The:O, first:O, sighting:O, of:O, three:O, of:O, the:O, nine:O, stolen:O, certificates:O, being:O, used:O, maliciously:O, occurred:O, in:O, early:B-TIME, 2014: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: 'Those three certificates were the only ones used in 2014 , making it likely that the other six were not compromised until 2015 .' [/INST] [Those:O, three:O, certificates:O, were:O, the:O, only:O, ones:O, used:O, in:O, 2014:S-TIME, ,:O, making:O, it:O, likely:O, that:O, the:O, other:O, six:O, were:O, not:O, compromised:O, until:O, 2015: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: 'All nine certificates were used maliciously in 2015 .' [/INST] [All:O, nine:O, certificates:O, were:O, used:O, maliciously:O, in:O, 2015: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: 'As noted earlier , the stolen certificates Symantec identified in this investigation were used to sign both hacking tools and malware .' [/INST] [As:O, noted:O, earlier:O, ,:O, the:O, stolen:O, certificates:O, Symantec:S-SECTEAM, identified:O, in:O, this:O, investigation:O, were:O, used:O, to:O, sign:O, both:O, hacking:O, tools:O, and: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: 'Further analysis of the malware identified what looks like a custom back door .' [/INST] [Further:O, analysis:O, of:O, the:O, malware:O, identified:O, what:O, looks:O, like:O, a:O, custom:O, back:B-TOOL, door: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: 'We believe Suckfly specifically developed the back door for use in cyberespionage campaigns .' [/INST] [We:O, believe:O, Suckfly:S-APT, specifically:O, developed:O, the:O, back:B-TOOL, door:E-TOOL, for:O, use:O, in:O, cyberespionage:O, campaigns:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Symantec detects this threat as Backdoor.Nidiran .' [/INST] [Symantec:S-SECTEAM, detects:O, this:O, threat:O, as:O, Backdoor.Nidiran: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: 'Analysis of Nidiran samples determined that the back door had been updated three times since early 2014 , which fits the timeline outlined in Figure 4 .' [/INST] [Analysis:O, of:O, Nidiran:S-MAL, samples:O, determined:O, that:O, the:O, back:B-TOOL, door:E-TOOL, had:O, been:O, updated:O, three:O, times:O, since:O, early:B-TIME, 2014:E-TIME, ,:O, which:O, fits:O, the:O, timeline:O, outlined:O, in:O, Figure:O, 4:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 modifications were minor and likely performed to add capabilities and avoid detection .' [/INST] [The:O, modifications:O, were:O, minor:O, and:O, likely:O, performed:O, to:O, add:O, capabilities:O, and:O, avoid:O, detection:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the malware is custom , it only provides the attackers with standard back door capabilities .' [/INST] [While:O, the:O, malware:O, is:O, custom:O, ,:O, it:O, only:O, provides:O, the:O, attackers:O, with:O, standard:O, back:B-TOOL, door:E-TOOL, capabilities:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly delivered Nidiran through a strategic web compromise .' [/INST] [Suckfly:S-APT, delivered:O, Nidiran:S-MAL, through:O, a:O, strategic:O, web:O, compromise:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Specifically , the threat group used a specially crafted web page to deliver an exploit for the Microsoft Windows OLE Remote Code Execution Vulnerability ( CVE-2014-6332 ) , which affects specific versions of Microsoft Windows .' [/INST] [Specifically:O, ,:O, the:O, threat:O, group:O, used:O, a:O, specially:O, crafted:O, web:O, page:O, to:O, deliver:O, an:O, exploit:O, for:O, the:O, Microsoft:S-IDTY, Windows:S-OS, OLE:B-TOOL, Remote:E-TOOL, Code:O, Execution:O, Vulnerability:O, (:O, CVE-2014-6332:S-VULID, ):O, ,:O, which:O, affects:O, specific:O, versions:O, of:O, Microsoft:S-IDTY, 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: 'This exploit is triggered when a potential victim browses to a malicious page using Internet Explorer , which can allow the attacker to execute code with the same privileges as the currently logged-in user .' [/INST] [This:O, exploit:O, is:O, triggered:O, when:O, a:O, potential:O, victim:O, browses:O, to:O, a:O, malicious:O, page:O, using:O, Internet:B-TOOL, Explorer:E-TOOL, ,:O, which:O, can:O, allow:O, the:O, attacker:O, to:O, execute:O, code:O, with:O, the:O, same:O, privileges:O, as:O, the:O, currently:O, logged-in: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: 'Once exploit has been achieved , Nidiran is delivered through a self-extracting executable that extracts the components to a .tmp folder after it has been executed .' [/INST] [Once:O, exploit:O, has:O, been:O, achieved:O, ,:O, Nidiran:S-MAL, is:O, delivered:O, through:O, a:O, self-extracting:O, executable:O, that:O, extracts:O, the:O, components:O, to:O, a:O, .tmp:S-FILE, folder:O, after:O, it:O, has:O, been:O, executed:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The threat then executes β svchost.exe β , a PE file , which is actually a clean tool known as OLEVIEW.EXE .' [/INST] [The:O, threat:O, then:O, executes:O, β:O, svchost.exe:S-FILE, β:O, ,:O, a:O, PE:S-TOOL, file:O, ,:O, which:O, is:O, actually:O, a:O, clean:O, tool:O, known:O, as:O, OLEVIEW.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 executable will then load iviewers.dll , which is normally a clean , legitimate file .' [/INST] [The:O, executable:O, will:O, then:O, load:O, iviewers.dll:S-FILE, ,:O, which:O, is:O, normally:O, a:O, clean:O, ,:O, legitimate:O, file:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attackers have been known to distribute malicious files masquerading as the legitimate iviewers.dll file and then use DLL load hijacking to execute the malicious code and infect the computer .' [/INST] [Attackers:O, have:O, been:O, known:O, to:O, distribute:O, malicious:O, files:O, masquerading:O, as:O, the:O, legitimate:O, iviewers.dll:S-FILE, file:O, and:O, then:O, use:O, DLL:S-TOOL, load:O, hijacking:O, to:O, execute:O, the:O, malicious:O, code:O, and:O, infect:O, the:O, computer:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This technique is associated with the malware and is frequently used in China based cyberespionage activity .' [/INST] [This:O, technique:O, is:O, associated:O, with:O, the:O, malware:O, and:O, is:O, frequently:O, used:O, in:O, China:S-LOC, based:O, cyberespionage: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: 'Suckfly isnβt the only attack group to use certificates to sign malware but they may be the most prolific collectors of them .' [/INST] [Suckfly:S-APT, isnβt:O, the:O, only:O, attack:O, group:O, to:O, use:O, certificates:O, to:O, sign:O, malware:O, but:O, they:O, may:O, be:O, the:O, most:O, prolific:O, collectors:O, of:O, them:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After all , Stuxnet , widely regarded as the world βs first known cyberweapon , was signed using stolen certificates from companies based in Taiwan with dates much earlier than Suckfly .' [/INST] [After:O, all:O, ,:O, Stuxnet:S-VULNAME, ,:O, widely:O, regarded:O, as:O, the:O, world:O, βs:O, first:O, known:O, cyberweapon:O, ,:O, was:O, signed:O, using:O, stolen:O, certificates:O, from:O, companies:O, based:O, in:O, Taiwan:S-LOC, with:O, dates:O, much:O, earlier:O, than:O, Suckfly: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: 'Other cyberespionage groups , including Black Vine and Hidden Lynx , have also used stolen certificates in their campaigns .' [/INST] [Other:O, cyberespionage:O, groups:O, ,:O, including:O, Black:B-APT, Vine:E-APT, and:O, Hidden:B-APT, Lynx:E-APT, ,:O, have:O, also:O, used:O, stolen:O, certificates:O, in:O, their:O, campaigns:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In April 2013 , a third-party vendor published a report about a cyberespionage group using custom malware and stolen certificates in their operations .' [/INST] [In:O, April:B-TIME, 2013:E-TIME, ,:O, a:O, third-party:O, vendor:O, published:O, a:O, report:O, about:O, a:O, cyberespionage:O, group:O, using:O, custom:O, malware:O, and:O, stolen:O, certificates:O, in:O, their:O, operations:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The report documented an advanced threat group they attributed to China .' [/INST] [The:O, report:O, documented:O, an:O, advanced:O, threat:O, group:O, they:O, attributed:O, to:O, China: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: 'Symantec tracks the group behind this activity as Blackfly and detects the malware they use as Backdoor.Winnti .' [/INST] [Symantec:S-SECTEAM, tracks:O, the:O, group:O, behind:O, this:O, activity:O, as:O, Blackfly:S-APT, and:O, detects:O, the:O, malware:O, they:O, use:O, as:O, Backdoor.Winnti: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 Blackfly attacks share some similarities with the more recent Suckfly attacks .' [/INST] [The:O, Blackfly:S-APT, attacks:O, share:O, some:O, similarities:O, with:O, the:O, more:O, recent:O, Suckfly: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: 'Blackfly began with a campaign to steal certificates , which were later used to sign malware used in targeted attacks .' [/INST] [Blackfly:S-APT, began:O, with:O, a:O, campaign:O, to:O, steal:O, certificates:O, ,:O, which:O, were:O, later:O, used:O, to:O, sign:O, malware:O, used:O, in:O, targeted:O, 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: 'The certificates Blackfly stole were also from South Korean companies , primarily in the video game and software development industry .' [/INST] [The:O, certificates:O, Blackfly:S-APT, stole:O, were:O, also:O, from:O, South:O, Korean:O, companies:O, ,:O, primarily:O, in:O, the:O, video:O, game:O, and:O, software:O, development:O, industry:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 similarity is that Suckfly stole a certificate from Company D ( see Figure 4 ) less than two years after Blackfly had stolen a certificate from the same company .' [/INST] [Another:O, similarity:O, is:O, that:O, Suckfly:S-APT, stole:O, a:O, certificate:O, from:O, Company:O, D:O, (:O, see:O, Figure:O, 4:O, ):O, less:O, than:O, two:O, years:O, after:O, Blackfly:S-APT, had:O, stolen:O, a:O, certificate:O, from:O, the:O, same:O, company:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the stolen certificates were different , and stolen in separate instances , they were both used with custom malware in targeted attacks originating from China .' [/INST] [While:O, the:O, stolen:O, certificates:O, were:O, different:O, ,:O, and:O, stolen:O, in:O, separate:O, instances:O, ,:O, they:O, were:O, both:O, used:O, with:O, custom:O, malware:O, in:O, targeted:O, attacks:O, originating:O, from:O, China: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: 'Signing malware with code-signing certificates is becoming more common , as seen in this investigation and the other attacks we have discussed .' [/INST] [Signing:O, malware:O, with:O, code-signing:O, certificates:O, is:O, becoming:O, more:O, common:O, ,:O, as:O, seen:O, in:O, this:O, investigation:O, and:O, the:O, other:O, attacks:O, we:O, have:O, discussed:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 are taking the time and effort to steal certificates because it is becoming necessary to gain a foothold on a targeted computer .' [/INST] [Attackers:O, are:O, taking:O, the:O, time:O, and:O, effort:O, to:O, steal:O, certificates:O, because:O, it:O, is:O, becoming:O, necessary:O, to:O, gain:O, a:O, foothold:O, on:O, a:O, targeted: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: 'Attempts to sign malware with code-signing certificates have become more common as the Internet and security systems have moved towards a more trust and reputation oriented model .' [/INST] [Attempts:O, to:O, sign:O, malware:O, with:O, code-signing:O, certificates:O, have:O, become:O, more:O, common:O, as:O, the:O, Internet:O, and:O, security:O, systems:O, have:O, moved:O, towards:O, a:O, more:O, trust:O, and:O, reputation:O, oriented:O, model:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 means that untrusted software may not be allowed to run unless it is signed .' [/INST] [This:O, means:O, that:O, untrusted:O, software:O, may:O, not:O, be:O, allowed:O, to:O, run:O, unless:O, it:O, is:O, signed:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 we noted in our previous research on the Apple threat landscape , some operating systems , such as Mac OS X , are configured by default to only allow applications to run if they have been signed with a valid certificate , meaning they are trusted .' [/INST] [As:O, we:O, noted:O, in:O, our:O, previous:O, research:O, on:O, the:O, Apple:S-IDTY, threat:O, landscape:O, ,:O, some:O, operating:O, systems:O, ,:O, such:O, as:O, Mac:B-OS, OS:I-OS, X:E-OS, ,:O, are:O, configured:O, by:O, default:O, to:O, only:O, allow:O, applications:O, to:O, run:O, if:O, they:O, have:O, been:O, signed:O, with:O, a:O, valid:O, certificate:O, ,:O, meaning:O, they:O, are:O, trusted:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , using valid code-signing certificates stolen from organizations with a positive reputation can allow attackers to piggyback on that company βs trust , making it easier to slip by these defenses and gain access to targeted computers .' [/INST] [However:O, ,:O, using:O, valid:O, code-signing:O, certificates:O, stolen:O, from:O, organizations:O, with:O, a:O, positive:O, reputation:O, can:O, allow:O, attackers:O, to:O, piggyback:O, on:O, that:O, company:O, βs:O, trust:O, ,:O, making:O, it:O, easier:O, to:O, slip:O, by:O, these:O, defenses:O, and:O, gain:O, access:O, to:O, targeted:O, computers:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Suckfly paints a stark picture of where cyberattack groups and cybercriminals are focusing their attentions .' [/INST] [Suckfly:S-APT, paints:O, a:O, stark:O, picture:O, of:O, where:O, cyberattack:O, groups:O, and:O, cybercriminals:O, are:O, focusing:O, their:O, attentions:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our investigation shines a light on an often unknown and seedier secret life of code-signing certificates , which is completely unknown to their owners .' [/INST] [Our:O, investigation:O, shines:O, a:O, light:O, on:O, an:O, often:O, unknown:O, and:O, seedier:O, secret:O, life:O, of:O, code-signing:O, certificates:O, ,:O, which:O, is:O, completely:O, unknown:O, to:O, their:O, owners:O, .:O] </s>
|
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 implications of this study shows that certificate owners need to keep a careful eye on them to prevent them from falling into the wrong hands .' [/INST] [The:O, implications:O, of:O, this:O, study:O, shows:O, that:O, certificate:O, owners:O, need:O, to:O, keep:O, a:O, careful:O, eye:O, on:O, them:O, to:O, prevent:O, them:O, from:O, falling:O, into:O, the:O, wrong:O, hands:O, .:O] </s>
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.