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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: 'More recently , we have also seen an increase in activity targeting Ukraine .' [/INST] [More:O, recently:O, ,:O, we:O, have:O, also:O, seen:O, an:O, increase:O, in:O, activity:O, targeting:O, Ukraine: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: 'Back in 2011-2012 , the group used a relatively tiny implant ( known as “ Sofacy ” or SOURFACE ) as its first stage malware .' [/INST] [Back:O, in:O, 2011-2012:S-TIME, ,:O, the:O, group:O, used:O, a:O, relatively:O, tiny:O, implant:O, (:O, known:O, as:O, “:O, Sofacy:S-APT, ”:O, or:O, SOURFACE:S-MAL, ):O, as:O, its:O, first:O, stage:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The implant shared certain similarities with the old Miniduke implants .' [/INST] [The:O, implant:O, shared:O, certain:O, similarities:O, with:O, the:O, old:O, Miniduke:S-APT, implants:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 us to believe the two groups were connected , at least to begin with , although it appears they parted ways in 2014 , with the original Miniduke group switching to the CosmicDuke implant .' [/INST] [This:O, led:O, us:O, to:O, believe:O, the:O, two:O, groups:O, were:O, connected:O, ,:O, at:O, least:O, to:O, begin:O, with:O, ,:O, although:O, it:O, appears:O, they:O, parted:O, ways:O, in:O, 2014:S-TIME, ,:O, with:O, the:O, original:O, Miniduke:S-APT, group:O, switching:O, to:O, the:O, CosmicDuke:S-MAL, implant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 some point during 2013 , the Sofacy group expanded its arsenal and added more backdoors and tools , including CORESHELL , SPLM ( aka Xagent , aka CHOPSTICK ) , JHUHUGIT ( which is built with code from the Carberp sources ) , AZZY ( aka ADVSTORESHELL , NETUI , EVILTOSS , and spans across four to five generations ) and a few others .' [/INST] [At:O, some:O, point:O, during:O, 2013:S-TIME, ,:O, the:O, Sofacy:S-APT, group:O, expanded:O, its:O, arsenal:O, and:O, added:O, more:O, backdoors:O, and:O, tools:O, ,:O, including:O, CORESHELL:S-TOOL, ,:O, SPLM:S-MAL, (:O, aka:O, Xagent:S-MAL, ,:O, aka:O, CHOPSTICK:S-MAL, ):O, ,:O, JHUHUGIT:S-MAL, (:O, which:O, is:O, built:O, with:O, code:O, from:O, the:O, Carberp:S-MAL, sources:O, ):O, ,:O, AZZY:S-MAL, (:O, aka:O, ADVSTORESHELL:S-MAL, ,:O, NETUI:S-MAL, ,:O, EVILTOSS:S-MAL, ,:O, and:O, spans:O, across:O, four:O, to:O, five:O, generations:O, ):O, and:O, a:O, few: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: 'We ’ve seen quite a few versions of these implants and they were relatively widespread for a time .' [/INST] [We:O, ’ve:O, seen:O, quite:O, a:O, few:O, versions:O, of:O, these:O, implants:O, and:O, they:O, were:O, relatively:O, widespread:O, for:O, a:O, time:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sofacy ’s August 2015 attack wave .' [/INST] [Sofacy:S-APT, ’s:O, August:B-TIME, 2015:E-TIME, attack:O, wave:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the months leading up to August , the Sofacy group launched several waves of attacks relying on zero-day exploits in Microsoft Office , Oracle Sun Java , Adobe Flash Player and Windows itself .' [/INST] [In:O, the:O, months:O, leading:O, up:O, to:O, August:S-TIME, ,:O, the:O, Sofacy:S-APT, group:O, launched:O, several:O, waves:O, of:O, attacks:O, relying:O, on:O, zero-day:S-VULNAME, exploits:O, in:O, Microsoft:S-IDTY, Office:S-TOOL, ,:O, Oracle:S-TOOL, Sun:O, Java:S-TOOL, ,:O, Adobe:S-TOOL, Flash:S-TOOL, Player:S-TOOL, and:O, Windows:S-OS, itself:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For instance , its JHUHUGIT implant was delivered through a Flash zero-day and used a Windows EoP exploit to break out of the sandbox .' [/INST] [For:O, instance:O, ,:O, its:O, JHUHUGIT:S-MAL, implant:O, was:O, delivered:O, through:O, a:O, Flash:S-TOOL, zero-day:S-VULNAME, and:O, used:O, a:O, Windows:S-OS, EoP:S-TOOL, exploit:O, to:O, break:O, out:O, of:O, the:O, sandbox:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 JHUHUGIT implant became a relatively popular first stage for the Sofacy attacks and was used again with a Java zero-day ( CVE-2015-2590 ) in July 2015 .' [/INST] [The:O, JHUHUGIT:S-MAL, implant:O, became:O, a:O, relatively:O, popular:O, first:O, stage:O, for:O, the:O, Sofacy:S-APT, attacks:O, and:O, was:O, used:O, again:O, with:O, a:O, Java:S-TOOL, zero-day:S-VULNAME, (:O, CVE-2015-2590:S-VULID, ):O, in:O, July:B-TIME, 2015:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While the JHUHUGIT ( and more recently , “ JKEYSKW ” ) implant used in most of the Sofacy attacks , high profile victims are being targeted with another first level implant , representing the latest evolution of their AZZYTrojan .' [/INST] [While:O, the:O, JHUHUGIT:S-MAL, (:O, and:O, more:O, recently:O, ,:O, “:O, JKEYSKW:S-MAL, ”:O, ):O, implant:O, used:O, in:O, most:O, of:O, the:O, Sofacy:S-APT, attacks:O, ,:O, high:O, profile:O, victims:O, are:O, being:O, targeted:O, with:O, another:O, first:O, level:O, implant:O, ,:O, representing:O, the:O, latest:O, evolution:O, of:O, their:O, AZZYTrojan: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 first versions of the new AZZY implant appeared in August of this year .' [/INST] [The:O, first:O, versions:O, of:O, the:O, new:O, AZZY:S-MAL, implant:O, appeared:O, in:O, August:S-TIME, of:O, this: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: 'During a high profile incident we investigated , our products successfully detected and blocked a “ standard ” Sofacy “ AZZY ” sample that was used to target a range of defense contractors .' [/INST] [During:O, a:O, high:O, profile:O, incident:O, we:O, investigated:O, ,:O, our:O, products:O, successfully:O, detected:O, and:O, blocked:O, a:O, “:O, standard:O, ”:O, Sofacy:S-APT, “:O, AZZY:S-MAL, ”:O, sample:O, that:O, was:O, used:O, to:O, target:O, a:O, range:O, of:O, defense:O, contractors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 used in this attack ( MD5 A96F4B8AC7AA9DBF4624424B7602D4F7 , compiled July 29th , 2015 ) was a pretty standard Sofacy x64 AZZY implant , which has the internal name “ advshellstore.dll ” .' [/INST] [The:O, sample:O, used:O, in:O, this:O, attack:O, (:O, MD5:S-ENCR, A96F4B8AC7AA9DBF4624424B7602D4F7:S-MD5, ,:O, compiled:O, July:B-TIME, 29th:I-TIME, ,:I-TIME, 2015:E-TIME, ):O, was:O, a:O, pretty:O, standard:O, Sofacy:S-APT, x64:O, AZZY:S-MAL, implant:O, ,:O, which:O, has:O, the:O, internal:O, name:O, “:O, advshellstore.dll:S-FILE, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Interestingly , the fact that the attack was blocked didn’t appear to stop the Sofacy team .' [/INST] [Interestingly:O, ,:O, the:O, fact:O, that:O, the:O, attack:O, was:O, blocked:O, didn’t:O, appear:O, to:O, stop:O, the:O, Sofacy:S-APT, team:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Just an hour and a half later they had compiled and delivered another AZZY x64 backdoor ( md5: 9D2F9E19DB8C20DC0D20D50869C7A373 , compiled August 4th , 2015 ) .' [/INST] [Just:O, an:O, hour:O, and:O, a:O, half:O, later:O, they:O, had:O, compiled:O, and:O, delivered:O, another:O, AZZY:S-MAL, x64:O, backdoor:O, (:O, md5::O, 9D2F9E19DB8C20DC0D20D50869C7A373:S-MD5, ,:O, compiled:O, August:B-TIME, 4th:I-TIME, ,:I-TIME, 2015:E-TIME, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 was no longer detectable with static signatures by our product .' [/INST] [This:O, was:O, no:O, longer:O, detectable:O, with:O, static:O, signatures:O, by:O, our:O, product:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , it was detected dynamically by the host intrusion prevention subsystem when it appeared in the system and was executed .' [/INST] [However:O, ,:O, it:O, was:O, detected:O, dynamically:O, by:O, the:O, host:O, intrusion:O, prevention:O, subsystem:O, when:O, it:O, appeared:O, in:O, the:O, system:O, and:O, was: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: 'This recurring , blindingly-fast Sofacy attack attracted our attention as neither sample was delivered through a zero-day vulnerability — instead , they appeared to be downloaded and installed by another malware .' [/INST] [This:O, recurring:O, ,:O, blindingly-fast:O, Sofacy:S-APT, attack:O, attracted:O, our:O, attention:O, as:O, neither:O, sample:O, was:O, delivered:O, through:O, a:O, zero-day:S-VULNAME, vulnerability:O, —:O, instead:O, ,:O, they:O, appeared:O, to:O, be:O, downloaded:O, and:O, installed:O, by:O, another: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: 'This separate malware was installed by an unknown attack as “ AppData\Local\Microsoft\Windows\msdeltemp.dll ” ( md5: CE8B99DF8642C065B6AF43FDE1F786A3 ) .' [/INST] [This:O, separate:O, malware:O, was:O, installed:O, by:O, an:O, unknown:O, attack:O, as:O, “:O, AppData\Local\Microsoft\Windows\msdeltemp.dll:S-FILE, ”:O, (:O, md5::O, CE8B99DF8642C065B6AF43FDE1F786A3:S-MD5, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 top level malware , CE8B99DF8642C065B6AF43FDE1F786A3 ( named by its authors “ msdeltemp.dll ” according to internal strings , and compiled July 28th , 2015 ) is a rare type of the Sofacy AZZY implant .' [/INST] [The:O, top:O, level:O, malware:O, ,:O, CE8B99DF8642C065B6AF43FDE1F786A3:S-MD5, (:O, named:O, by:O, its:O, authors:O, “:O, msdeltemp.dll:S-FILE, ”:O, according:O, to:O, internal:O, strings:O, ,:O, and:O, compiled:O, July:B-TIME, 28th:I-TIME, ,:I-TIME, 2015:E-TIME, ):O, is:O, a:O, rare:O, type:O, of:O, the:O, Sofacy:S-APT, AZZY:S-MAL, implant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 has been modified to drop a separate C&C helper , ( md5: 8C4D896957C36EC4ABEB07B2802268B9 ) as “ tf394kv.dll “ .' [/INST] [It:O, has:O, been:O, modified:O, to:O, drop:O, a:O, separate:O, C&C:S-TOOL, helper:O, ,:O, (:O, md5::O, 8C4D896957C36EC4ABEB07B2802268B9:S-MD5, ):O, as:O, “:O, tf394kv.dll:S-FILE, “:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The dropped “ tf394kv.dll ” file is an external C&C communications library , compiled on July 24th , 2015 and used by the main backdoor for all Internet-based communications .' [/INST] [The:O, dropped:O, “:O, tf394kv.dll:S-FILE, ”:O, file:O, is:O, an:O, external:O, C&C:S-TOOL, communications:O, library:O, ,:O, compiled:O, on:O, July:B-TIME, 24th:I-TIME, ,:I-TIME, 2015:E-TIME, and:O, used:O, by:O, the:O, main:O, backdoor:O, for:O, all:O, Internet-based:O, communications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 code modification marks an unusual departure from the typical AZZY backdoors , with its C&C communication functions moved to an external DLL file .' [/INST] [This:O, code:O, modification:O, marks:O, an:O, unusual:O, departure:O, from:O, the:O, typical:O, AZZY:B-MAL, backdoors:E-MAL, ,:O, with:O, its:O, C&C:S-TOOL, communication:O, functions:O, moved:O, to:O, an:O, external:O, DLL:S-TOOL, 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: 'In the past , the Sofacy developers modified earlier AZZY backdoors to use a C&C server encoded in the registry , instead of storing it in the malware itself , so this code modularisation follows the same line of thinking .' [/INST] [In:O, the:O, past:O, ,:O, the:O, Sofacy:S-APT, developers:O, modified:O, earlier:O, AZZY:B-MAL, backdoors:E-MAL, to:O, use:O, a:O, C&C:S-TOOL, server:O, encoded:O, in:O, the:O, registry:O, ,:O, instead:O, of:O, storing:O, it:O, in:O, the:O, malware:O, itself:O, ,:O, so:O, this:O, code:O, modularisation:O, follows:O, the:O, same:O, line:O, of:O, thinking:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 new AZZY backdoors with side-DLL for C&C , we observed a new set of data-theft modules deployed against victims by the Sofacy group .' [/INST] [In:O, addition:O, to:O, the:O, new:O, AZZY:B-MAL, backdoors:E-MAL, with:O, side-DLL:S-TOOL, for:O, C&C:S-TOOL, ,:O, we:O, observed:O, a:O, new:O, set:O, of:O, data-theft:O, modules:O, deployed:O, against:O, victims:O, by:O, the:O, Sofacy:S-APT, 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: 'Among the most popular modern defense mechanisms against APTs are air-gaps — isolated network segments without Internet access , where sensitive data is stored .' [/INST] [Among:O, the:O, most:O, popular:O, modern:O, defense:O, mechanisms:O, against:O, APTs:O, are:O, air-gaps:O, —:O, isolated:O, network:O, segments:O, without:O, Internet:O, access:O, ,:O, where:O, sensitive:O, data:O, is:O, stored:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the past , we ’ve seen groups such as Equation and Flame use malware to steal data from air-gapped networks .' [/INST] [In:O, the:O, past:O, ,:O, we:O, ’ve:O, seen:O, groups:O, such:O, as:O, Equation:S-APT, and:O, Flame:S-APT, use:O, malware:O, to:O, steal:O, data:O, from:O, air-gapped: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: 'The Sofacy group uses such tools as well .' [/INST] [The:O, Sofacy:S-APT, group:O, uses:O, such:O, tools: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: 'The first versions of these new USB stealer modules appeared around February 2015 and the latest appear to have been compiled in May 2015 .' [/INST] [The:O, first:O, versions:O, of:O, these:O, new:O, USB:B-TOOL, stealer:E-TOOL, modules:O, appeared:O, around:O, February:B-TIME, 2015:E-TIME, and:O, the:O, latest:O, appear:O, to:O, have:O, been:O, compiled:O, in:O, May:B-TIME, 2015:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Older versions of these USBSTEALER modules were previously described by our colleagues from ESET .' [/INST] [Older:O, versions:O, of:O, these:O, USBSTEALER:S-TOOL, modules:O, were:O, previously:O, described:O, by:O, our:O, colleagues:O, from:O, ESET:S-SECTEAM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 example of the new Sofacy USBSTEALER modules is 8b238931a7f64fddcad3057a96855f6c , which is named internally as msdetltemp.dll .' [/INST] [One:O, example:O, of:O, the:O, new:O, Sofacy:S-APT, USBSTEALER:S-TOOL, modules:O, is:O, 8b238931a7f64fddcad3057a96855f6c:S-MD5, ,:O, which:O, is:O, named:O, internally:O, as:O, msdetltemp.dll: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 data theft module appears to have been compiled in May 2015 and is designed to watch removable drives and collect files from them , depending on a set of rules defined by the attackers .' [/INST] [This:O, data:O, theft:O, module:O, appears:O, to:O, have:O, been:O, compiled:O, in:O, May:B-TIME, 2015:E-TIME, and:O, is:O, designed:O, to:O, watch:O, removable:O, drives:O, and:O, collect:O, files:O, from:O, them:O, ,:O, depending:O, on:O, a:O, set:O, of:O, rules:O, defined:O, by:O, the:O, attackers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 stolen data is copied into a hidden directory as “ %MYPICTURES%\%volume serial number% “ , from where it can be exfiltrated by the attackers using one of the AZZY implants .' [/INST] [The:O, stolen:O, data:O, is:O, copied:O, into:O, a:O, hidden:O, directory:O, as:O, “:O, %MYPICTURES%\%volume:O, serial:O, number%:O, “:O, ,:O, from:O, where:O, it:O, can:O, be:O, exfiltrated:O, by:O, the:O, attackers:O, using:O, one:O, of:O, the:O, AZZY:S-MAL, implants:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'More details on the new USB stealers are available in the section on technical analysis .' [/INST] [More:O, details:O, on:O, the:O, new:O, USB:S-TOOL, stealers:O, are:O, available:O, in:O, the:O, section:O, on:O, technical: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: 'Over the last year , the Sofacy group has increased its activity almost tenfold when compared to previous years , becoming one of the most prolific , agile and dynamic threat actors in the arena .' [/INST] [Over:O, the:O, last:O, year:O, ,:O, the:O, Sofacy:S-APT, group:O, has:O, increased:O, its:O, activity:O, almost:O, tenfold:O, when:O, compared:O, to:O, previous:O, years:O, ,:O, becoming:O, one:O, of:O, the:O, most:O, prolific:O, ,:O, agile:O, and:O, dynamic:O, threat:O, actors:O, in:O, the:O, arena:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 activity spiked in July 2015 , when the group dropped two completely new exploits , an Office and Java zero-day .' [/INST] [This:O, activity:O, spiked:O, in:O, July:B-TIME, 2015:E-TIME, ,:O, when:O, the:O, group:O, dropped:O, two:O, completely:O, new:O, exploits:O, ,:O, an:O, Office:S-TOOL, and:O, Java:S-TOOL, zero-day: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: 'At the beginning of August , Sofacy began a new wave of attacks , focusing on defense-related targets .' [/INST] [At:O, the:O, beginning:O, of:O, August:S-TIME, ,:O, Sofacy:S-APT, began:O, a:O, new:O, wave:O, of:O, attacks:O, ,:O, focusing:O, on:O, defense-related: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: 'As of November 2015 , this wave of attacks is ongoing .' [/INST] [As:O, of:O, November:B-TIME, 2015:E-TIME, ,:O, this:O, wave:O, of:O, attacks:O, is:O, ongoing:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attackers deploy a rare modification of the AZZY backdoor , which is used for the initial reconnaissance .' [/INST] [The:O, attackers:O, deploy:O, a:O, rare:O, modification:O, of:O, the:O, AZZY:B-MAL, backdoor:E-MAL, ,:O, which:O, is:O, used:O, for:O, the:O, initial:O, reconnaissance:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 a foothold is established , they try to upload more backdoors , USB stealers as well as other hacking tools such as “ Mimikatz ” for lateral movement .' [/INST] [Once:O, a:O, foothold:O, is:O, established:O, ,:O, they:O, try:O, to:O, upload:O, more:O, backdoors:O, ,:O, USB:S-TOOL, stealers:O, as:O, well:O, as:O, other:O, hacking:O, tools:O, such:O, as:O, “:O, Mimikatz:S-TOOL, ”:O, for:O, lateral:O, movement:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Two recurring characteristics of the Sofacy group that we keep seeing in its attacks are speed and the use of multi-backdoor packages for extreme resilience .' [/INST] [Two:O, recurring:O, characteristics:O, of:O, the:O, Sofacy:S-APT, group:O, that:O, we:O, keep:O, seeing:O, in:O, its:O, attacks:O, are:O, speed:O, and:O, the:O, use:O, of:O, multi-backdoor:O, packages:O, for:O, extreme:O, resilience:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the past , the group used droppers that installed both the SPLM and AZZY backdoors on the same machine .' [/INST] [In:O, the:O, past:O, ,:O, the:O, group:O, used:O, droppers:O, that:O, installed:O, both:O, the:O, SPLM:S-MAL, and:O, AZZY:B-MAL, backdoors:E-MAL, on:O, the:O, same:O, machine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If one of them was detected , the other one provided the attacker with continued access .' [/INST] [If:O, one:O, of:O, them:O, was:O, detected:O, ,:O, the:O, other:O, one:O, provided:O, the:O, attacker:O, with:O, continued:O, access:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Internal name : DWN_DLL_MAIN.dll File format : PE32 DLL MD5: ce8b99df8642c065b6af43fde1f786a3 Linker version : 11.0 , Microsoft Visual Studio Linker timestamp : 2015.07.28 13:05:20 ( GMT ) .' [/INST] [Internal:O, name:O, ::O, DWN_DLL_MAIN.dll:S-FILE, File:O, format:O, ::O, PE32:O, DLL:S-TOOL, MD5::O, ce8b99df8642c065b6af43fde1f786a3:S-MD5, Linker:O, version:O, ::O, 11.0:O, ,:O, Microsoft:S-IDTY, Visual:B-TOOL, Studio:E-TOOL, Linker:O, timestamp:O, ::O, 2015.07.28:B-TIME, 13:05:20:E-TIME, (:O, GMT: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: 'The library starts its main worker thread from the DllMain function .' [/INST] [The:O, library:O, starts:O, its:O, main:O, worker:O, thread:O, from:O, the:O, DllMain:O, function:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Most of the strings inside the module are encrypted with a homebrew XOR-based algorithm .' [/INST] [Most:O, of:O, the:O, strings:O, inside:O, the:O, module:O, are:O, encrypted:O, with:O, a:O, homebrew:O, XOR-based:S-ENCR, algorithm:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 that , API function names are reversed , presumably to avoid detection in memory .' [/INST] [In:O, addition:O, to:O, that:O, ,:O, API:O, function:O, names:O, are:O, reversed:O, ,:O, presumably:O, to:O, avoid:O, detection:O, in: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: 'Once started , the code in the main thread resolves the basic API functions it needs and loads an additional library from the following location : “ %TEMP%\tf394kv.dll ” .' [/INST] [Once:O, started:O, ,:O, the:O, code:O, in:O, the:O, main:O, thread:O, resolves:O, the:O, basic:O, API:O, functions:O, it:O, needs:O, and:O, loads:O, an:O, additional:O, library:O, from:O, the:O, following:O, location:O, ::O, “:O, %TEMP%\tf394kv.dll:S-FILE, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If this file is not present , it is recreated from a hardcoded encrypted array inside the body of the DLL .' [/INST] [If:O, this:O, file:O, is:O, not:O, present:O, ,:O, it:O, is:O, recreated:O, from:O, a:O, hardcoded:O, encrypted:O, array:O, inside:O, the:O, body:O, of:O, the:O, DLL: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: 'Next , the module enters an infinite loop .' [/INST] [Next:O, ,:O, the:O, module:O, enters:O, an:O, infinite:O, loop:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Every five minutes it collects basic system information and sends it to the C2 server .' [/INST] [Every:O, five:O, minutes:O, it:O, collects:O, basic:O, system:O, information:O, and:O, sends:O, it:O, to:O, the:O, C2: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: 'The main thread also spawns a separate thread for receiving new commands from the C2 servers .' [/INST] [The:O, main:O, thread:O, also:O, spawns:O, a:O, separate:O, thread:O, for:O, receiving:O, new:O, commands:O, from:O, the:O, C2:S-TOOL, servers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Every 10 minutes , it sends a new request to the server .' [/INST] [Every:O, 10:B-TIME, minutes:E-TIME, ,:O, it:O, sends:O, a:O, new:O, request:O, to: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: 'The server is expected to send back executable code and one of the following commands :' [/INST] [The:O, server:O, is:O, expected:O, to:O, send:O, back:O, executable:O, code:O, and:O, one:O, of:O, the:O, following:O, commands:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Write a new file “ %LOCAL_APPDATA%\dllhost.exe ” or “ %TEMP%\dllhost.exe ” and execute it , then delete the file , Write a new file “ %LOCAL_APPDATA%\sechost.dll ” or “ %TEMP%\sechost.dll ” and call its first exported function using “ rundll32.exe ” or Windows API , then delete the file , Run shellcode provided by the server in a new thread While processing the commands , the backdoor logs all errors and execution results .' [/INST] [Write:O, a:O, new:O, file:O, “:O, %LOCAL_APPDATA%\dllhost.exe:S-FILE, ”:O, or:O, “:O, %TEMP%\dllhost.exe:S-FILE, ”:O, and:O, execute:O, it:O, ,:O, then:O, delete:O, the:O, file:O, ,:O, Write:O, a:O, new:O, file:O, “:O, %LOCAL_APPDATA%\sechost.dll:S-FILE, ”:O, or:O, “:O, %TEMP%\sechost.dll:S-FILE, ”:O, and:O, call:O, its:O, first:O, exported:O, function:O, using:O, “:O, rundll32.exe:S-FILE, ”:O, or:O, Windows:S-OS, API:O, ,:O, then:O, delete:O, the:O, file:O, ,:O, Run:O, shellcode:O, provided:O, by:O, the:O, server:O, in:O, a:O, new:O, thread:O, While:O, processing:O, the:O, commands:O, ,:O, the:O, backdoor:O, logs:O, all:O, errors:O, and:O, execution:O, results:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 module also reads the contents of the file “ %APPDATA%\chkdbg.log ” and appends it to the results .' [/INST] [The:O, module:O, also:O, reads:O, the:O, contents:O, of:O, the:O, file:O, “:O, %APPDATA%\chkdbg.log:S-FILE, ”:O, and:O, appends:O, it:O, to:O, the:O, results:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 then sends the aggregated log back to the C2 server .' [/INST] [It:O, then:O, sends:O, the:O, aggregated:O, log:O, back:O, to:O, the:O, C2: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: 'The module aborts the thread receiving C2 command after it fails to correctly execute commands more than six times in a row , i.e. if file or process creation fails .' [/INST] [The:O, module:O, aborts:O, the:O, thread:O, receiving:O, C2:S-TOOL, command:O, after:O, it:O, fails:O, to:O, correctly:O, execute:O, commands:O, more:O, than:O, six:O, times:O, in:O, a:O, row:O, ,:O, i.e.:O, if:O, file:O, or:O, process:O, creation:O, fails:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 export called “ k ” is a wrapper for the “ LoadLibraryA ” API function .' [/INST] [The:O, export:O, called:O, “:O, k:O, ”:O, is:O, a:O, wrapper:O, for:O, the:O, “:O, LoadLibraryA:O, ”:O, API:O, function:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 export called “ SendDataToServer_2 ” does exactly what the name means : it encrypts all collected data , encodes it using Base64 encoding and calls its additional library to send the data to the C2 server .' [/INST] [The:O, export:O, called:O, “:O, SendDataToServer_2:O, ”:O, does:O, exactly:O, what:O, the:O, name:O, means:O, ::O, it:O, encrypts:O, all:O, collected:O, data:O, ,:O, encodes:O, it:O, using:O, Base64:S-ENCR, encoding:O, and:O, calls:O, its:O, additional:O, library:O, to:O, send:O, the:O, data:O, to:O, the:O, C2: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: 'The names of the C2 servers are hardcoded .' [/INST] [The:O, names:O, of:O, the:O, C2:S-TOOL, servers:O, are:O, hardcoded:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The two C&C ’s hardcoded in the configuration block of the main binary are :' [/INST] [The:O, two:O, C&C:S-TOOL, ’s:O, hardcoded:O, in:O, the:O, configuration:O, block:O, of:O, the:O, main:O, binary:O, are:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'intelnetservice.com intelsupport.net The export called “ Applicate ” runs a standard Windows application message loop until a “ WM_ENDSESSION ” message is received .' [/INST] [intelnetservice.com:S-DOM, intelsupport.net:S-DOM, The:O, export:O, called:O, “:O, Applicate:O, ”:O, runs:O, a:O, standard:O, Windows:S-OS, application:O, message:O, loop:O, until:O, a:O, “:O, WM_ENDSESSION:O, ”:O, message:O, is:O, received:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 then terminates the main thread .' [/INST] [It:O, then:O, terminates:O, the:O, main:O, thread:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Internal name : snd.dll File format : PE32 DLL MD5: 8c4d896957c36ec4abeb07b2802268b9 Linker version : 11.0 , Microsoft Visual Studio Linker timestamp : 2015.07.24 12:07:27 ( GMT ) Exported functions :' [/INST] [Internal:O, name:O, ::O, snd.dll:S-FILE, File:O, format:O, ::O, PE32:O, DLL:S-TOOL, MD5::O, 8c4d896957c36ec4abeb07b2802268b9:S-MD5, Linker:O, version:O, ::O, 11.0:O, ,:O, Microsoft:S-IDTY, Visual:B-TOOL, Studio:E-TOOL, Linker:O, timestamp:O, ::O, 2015.07.24:B-TIME, 12:07:27:E-TIME, (:O, GMT:S-TOOL, ):O, Exported:O, functions:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '10001580: Init 10001620: InternetExchange 10001650: SendData This external library implements a simple Wininet-based transport for the main module .' [/INST] [10001580::O, Init:O, 10001620::O, InternetExchange:O, 10001650::O, SendData:O, This:O, external:O, library:O, implements:O, a:O, simple:O, Wininet-based:O, transport:O, for:O, the:O, main:O, module:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 strings inside the binary are encrypted using 3DES and XOR and reversed .' [/INST] [The:O, strings:O, inside:O, the:O, binary:O, are:O, encrypted:O, using:O, 3DES:S-ENCR, and:O, XOR:S-ENCR, and:O, reversed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 DllMain function initializes the library and resolves all required Windows API functions .' [/INST] [The:O, DllMain:O, function:O, initializes:O, the:O, library:O, and:O, resolves:O, all:O, required:O, Windows:S-OS, API:O, functions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 “ Init ” export establishes connection to port 80 of a C2 server using Wininet API .' [/INST] [The:O, “:O, Init:O, ”:O, export:O, establishes:O, connection:O, to:O, port:O, 80:O, of:O, a:O, C2:S-TOOL, server:O, using:O, Wininet:S-TOOL, API:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 user agent string employed is “ MSIE 8.0 ” .' [/INST] [The:O, user:O, agent:O, string:O, employed:O, is:O, “:O, MSIE:S-TOOL, 8.0:O, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 “ SendData ” export sends a HTTP POST request using a hardcoded URI “ /store/ “ .' [/INST] [The:O, “:O, SendData:O, ”:O, export:O, sends:O, a:O, HTTP:S-PROT, POST:O, request:O, using:O, a:O, hardcoded:O, URI:O, “:O, /store/:O, “:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 reply , if its length is not equal to six and its contents do not contain “ OK ” is returned back to the caller .' [/INST] [The:O, reply:O, ,:O, if:O, its:O, length:O, is:O, not:O, equal:O, to:O, six:O, and:O, its:O, contents:O, do:O, not:O, contain:O, “:O, OK:O, ”:O, is:O, returned:O, back:O, to:O, the:O, caller:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 “ InternetExchange ” export closes the established connection and frees associated handles .' [/INST] [The:O, “:O, InternetExchange:O, ”:O, export:O, closes:O, the:O, established:O, connection:O, and:O, frees:O, associated:O, handles:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sofacy AZZY 4.3 dropper analysis File format : PE32 EXE File size : 142,336 bytes MD5: c3ae4a37094ecfe95c2badecf40bf5bb Linker version : 11.0 , Microsoft Visual Studio Linker timestamp : 2015.02.10 10:01:59 ( GMT ) Most of the strings and data in the file are encrypted using 3DES and XOR .' [/INST] [Sofacy:S-APT, AZZY:S-MAL, 4.3:O, dropper:O, analysis:O, File:O, format:O, ::O, PE32:O, EXE:S-TOOL, File:O, size:O, ::O, 142,336:O, bytes:O, MD5::O, c3ae4a37094ecfe95c2badecf40bf5bb:S-MD5, Linker:O, version:O, ::O, 11.0:O, ,:O, Microsoft:S-IDTY, Visual:B-TOOL, Studio:E-TOOL, Linker:O, timestamp:O, ::O, 2015.02.10:B-TIME, 10:01:59:E-TIME, (:O, GMT:S-TOOL, ):O, Most:O, of:O, the:O, strings:O, and:O, data:O, in:O, the:O, file:O, are:O, encrypted:O, using:O, 3DES:S-ENCR, and:O, XOR:S-ENCR, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The code makes use of the Windows Crypto API for 3DES and the decryption key is stored as a standard Windows PUBLICKEYSTRUC structure .' [/INST] [The:O, code:O, makes:O, use:O, of:O, the:O, Windows:S-OS, Crypto:S-TOOL, API:O, for:O, 3DES:S-ENCR, and:O, the:O, decryption:O, key:O, is:O, stored:O, as:O, a:O, standard:O, Windows:S-OS, PUBLICKEYSTRUC:S-TOOL, structure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First , it creates a new directory : “ %LOCAL_APPDATA%\Microsoft\Windows ” .' [/INST] [First:O, ,:O, it:O, creates:O, a:O, new:O, directory:O, ::O, “:O, %LOCAL_APPDATA%\Microsoft\Windows:S-OS, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 directory creation fails it tries to install into “ %TEMP% ” directory instead .' [/INST] [If:O, the:O, directory:O, creation:O, fails:O, it:O, tries:O, to:O, install:O, into:O, “:O, %TEMP%:O, ”:O, directory:O, instead:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 it writes a hardcoded binary from its body to “ msdeltemp.dll ” into the target directory .' [/INST] [Next:O, it:O, writes:O, a:O, hardcoded:O, binary:O, from:O, its:O, body:O, to:O, “:O, msdeltemp.dll:S-FILE, ”:O, into:O, the:O, target:O, directory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 file exists it then moves it to “ __tmpdt.tmp ” in the same directory and continues the installation .' [/INST] [If:O, the:O, file:O, exists:O, it:O, then:O, moves:O, it:O, to:O, “:O, __tmpdt.tmp:S-FILE, ”:O, in:O, the:O, same:O, directory:O, and:O, continues:O, the:O, installation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sets file creation timestamp to that of “ %SYSTEM%\sfc.dll ” .' [/INST] [Sets:O, file:O, creation:O, timestamp:O, to:O, that:O, of:O, “:O, %SYSTEM%\sfc.dll:S-FILE, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Finally , the program removes itself by starting the following command : “ cmd /c DEL %path to self% “ The MD5 of the dropped file is f6f88caf49a3e32174387cacfa144a89 .' [/INST] [Finally:O, ,:O, the:O, program:O, removes:O, itself:O, by:O, starting:O, the:O, following:O, command:O, ::O, “:O, cmd:S-TOOL, /c:O, DEL:O, %path:O, to:O, self%:O, “:O, The:O, MD5:S-ENCR, of:O, the:O, dropped:O, file:O, is:O, f6f88caf49a3e32174387cacfa144a89:S-MD5, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dropper payload – downloader DLL Internal name : msdetltemp.dll File format : PE32 DLL File size : 73 728 bytes MD5: f6f88caf49a3e32174387cacfa144a89 Linker version : 11.0 , Microsoft Visual Studio Linker timestamp : 2015.02.10 07:20:02 ( GMT ) Exported functions :' [/INST] [Dropper:O, payload:O, –:O, downloader:O, DLL:S-TOOL, Internal:O, name:O, ::O, msdetltemp.dll:S-FILE, File:O, format:O, ::O, PE32:O, DLL:S-TOOL, File:O, size:O, ::O, 73:O, 728:O, bytes:O, MD5::O, f6f88caf49a3e32174387cacfa144a89:S-MD5, Linker:O, version:O, ::O, 11.0:O, ,:O, Microsoft:S-IDTY, Visual:B-TOOL, Studio:E-TOOL, Linker:O, timestamp:O, ::O, 2015.02.10:B-TIME, 07:20:02:E-TIME, (:O, GMT:S-TOOL, ):O, Exported:O, functions:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '10002B55: Applicate Most of the strings inside the binary are encrypted using a homebrew XOR-based algorithm and reversed .' [/INST] [10002B55::O, Applicate:O, Most:O, of:O, the:O, strings:O, inside:O, the:O, binary:O, are:O, encrypted:O, using:O, a:O, homebrew:O, XOR-based:S-ENCR, algorithm:O, and:O, reversed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 library is an older version of the “ DWN_DLL_MAIN.dll ” ( md5: ce8b99df8642c065b6af43fde1f786a3 ) .' [/INST] [The:O, library:O, is:O, an:O, older:O, version:O, of:O, the:O, “:O, DWN_DLL_MAIN.dll:S-FILE, ”:O, (:O, md5::O, ce8b99df8642c065b6af43fde1f786a3:S-MD5, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 DllMain function is identical and starts the main thread ; the “ Applicate ” function is identical to the one in the newer library .' [/INST] [The:O, DllMain:O, function:O, is:O, identical:O, and:O, starts:O, the:O, main:O, thread:O, ;:O, the:O, “:O, Applicate:O, ”:O, function:O, is:O, identical:O, to:O, the:O, one:O, in:O, the:O, newer: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: 'This version of the module does not rely on an external transport DLL for communicating with its C2 servers ; instead it directly uses Wininet API functions .' [/INST] [This:O, version:O, of:O, the:O, module:O, does:O, not:O, rely:O, on:O, an:O, external:O, transport:O, DLL:S-TOOL, for:O, communicating:O, with:O, its:O, C2:S-TOOL, servers:O, ;:O, instead:O, it:O, directly:O, uses:O, Wininet:S-TOOL, API:O, functions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 module contains the following hardcoded C2 server names :' [/INST] [The:O, module:O, contains:O, the:O, following:O, hardcoded:O, C2:S-TOOL, server:O, names:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'drivres-update.info softupdates.info The module uses a hardcoded URL ( “ /check/ “ ) for sending HTTP POST requests to its C2 servers .' [/INST] [drivres-update.info:S-DOM, softupdates.info:S-DOM, The:O, module:O, uses:O, a:O, hardcoded:O, URL:O, (:O, “:O, /check/:O, “:O, ):O, for:O, sending:O, HTTP:S-PROT, POST:O, requests:O, to:O, its:O, C2:S-TOOL, servers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sofacy APT hits high profile targets with updated toolset .' [/INST] [Sofacy:S-APT, APT:O, hits:O, high:O, profile:O, targets:O, with:O, updated:O, toolset:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'File collection module ( “ USB Stealer ” ) Internal name : msdetltemp.dll ( from resources ) File size : 50,176 bytes File format : PE32 EXE MD5: 0369620eb139c3875a62e36bb7abdae8 Linker version : 10.0 , Microsoft Visual Studio Linker timestamp : 2015.02.09 11:48:01 ( GMT ) Most of the strings inside the binary are encrypted using 3DES and XOR and reversed .' [/INST] [File:O, collection:O, module:O, (:O, “:O, USB:B-TOOL, Stealer:E-TOOL, ”:O, ):O, Internal:O, name:O, ::O, msdetltemp.dll:S-FILE, (:O, from:O, resources:O, ):O, File:O, size:O, ::O, 50,176:O, bytes:O, File:O, format:O, ::O, PE32:O, EXE:S-TOOL, MD5::O, 0369620eb139c3875a62e36bb7abdae8:S-MD5, Linker:O, version:O, ::O, 10.0:O, ,:O, Microsoft:S-IDTY, Visual:B-TOOL, Studio:E-TOOL, Linker:O, timestamp:O, ::O, 2015.02.09:B-TIME, 11:48:01:E-TIME, (:O, GMT:S-TOOL, ):O, Most:O, of:O, the:O, strings:O, inside:O, the:O, binary:O, are:O, encrypted:O, using:O, 3DES:S-ENCR, and:O, XOR:S-ENCR, and:O, reversed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 program creates the mutex “ mtx ” and an event named “ WerTyQ34C ” .' [/INST] [The:O, program:O, creates:O, the:O, mutex:O, “:O, mtx:O, ”:O, and:O, an:O, event:O, named:O, “:O, WerTyQ34C:O, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 start , it creates a window with the class name “ Hello ” and title “ Program ” , subscribes for device arrival notifications for that window and enters a standard Windows message processing loop .' [/INST] [Upon:O, start:O, ,:O, it:O, creates:O, a:O, window:O, with:O, the:O, class:O, name:O, “:O, Hello:O, ”:O, and:O, title:O, “:O, Program:O, ”:O, ,:O, subscribes:O, for:O, device:O, arrival:O, notifications:O, for:O, that:O, window:O, and:O, enters:O, a:O, standard:O, Windows:S-OS, message:O, processing:O, loop:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 message processing function waits for the WM_DEVICECHANGE event and starts a new thread on its arrival .' [/INST] [The:O, message:O, processing:O, function:O, waits:O, for:O, the:O, WM_DEVICECHANGE:O, event:O, and:O, starts:O, a:O, new:O, thread:O, on:O, its:O, arrival:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 module inspects every new disk volume attached to the system .' [/INST] [The:O, module:O, inspects:O, every:O, new:O, disk:O, volume:O, attached:O, to:O, the: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: 'For every disk it creates a “ stash ” directory in “ %root stash directory location%\%volume serial number in hex% ” with attributes FILE_ATTRIBUTE_HIDDEN and FILE_ATTRIBUTE_SYSTEM .' [/INST] [For:O, every:O, disk:O, it:O, creates:O, a:O, “:O, stash:O, ”:O, directory:O, in:O, “:O, %root:O, stash:O, directory:O, location%\%volume:O, serial:O, number:O, in:O, hex%:O, ”:O, with:O, attributes:O, FILE_ATTRIBUTE_HIDDEN:O, and:O, FILE_ATTRIBUTE_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: 'The root stash directory location may be read from the configuration file or set to the default location which is “ %MYPICTURES% ” .' [/INST] [The:O, root:O, stash:O, directory:O, location:O, may:O, be:O, read:O, from:O, the:O, configuration:O, file:O, or:O, set:O, to:O, the:O, default:O, location:O, which:O, is:O, “:O, %MYPICTURES%:O, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Then , it traverses the filesystem of the volume looking for files .' [/INST] [Then:O, ,:O, it:O, traverses:O, the:O, filesystem:O, of:O, the:O, volume:O, looking:O, for: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: 'Depending on the settings read from the configuration file , the scope may be narrowed to files with particular extensions and/or files created after a specified date .' [/INST] [Depending:O, on:O, the:O, settings:O, read:O, from:O, the:O, configuration:O, file:O, ,:O, the:O, scope:O, may:O, be:O, narrowed:O, to:O, files:O, with:O, particular:O, extensions:O, and/or:O, files:O, created:O, after:O, a:O, specified:O, date:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It is worth noting that if the source file location contains the string “ System Volume Information\S-1-5-21-1315235578-283289242\ ” , then the file is deleted after copying to the “ stash ” directory .' [/INST] [It:O, is:O, worth:O, noting:O, that:O, if:O, the:O, source:O, file:O, location:O, contains:O, the:O, string:O, “:O, System:O, Volume:O, Information\S-1-5-21-1315235578-283289242\:O, ”:O, ,:O, then:O, the:O, file:O, is:O, deleted:O, after:O, copying:O, to:O, the:O, “:O, stash:O, ”:O, directory:O, .:O] </s> |
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