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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: 'Mozilla ( Windows NT 6.1 ; WOW64 ) WinHttp/1.6.3.8 ( WinHTTP/5.1 ) like Gecko .' [/INST] [Mozilla:S-IDTY, (:O, Windows:S-OS, NT:O, 6.1:O, ;:O, WOW64:O, ):O, WinHttp/1.6.3.8:O, (:O, WinHTTP/5.1:O, ):O, like:O, Gecko:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We observed several samples of Zebrocy using this user agent targeting the foreign affairs ministry of a large Central Asian nation .' [/INST] [We:O, observed:O, several:O, samples:O, of:O, Zebrocy:S-MAL, using:O, this:O, user:O, agent:O, targeting:O, the:O, foreign:O, affairs:O, ministry:O, of:O, a:O, large:O, Central:O, Asian:O, nation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Pivoting off of this artifact provided us additional Zebrocy samples .' [/INST] [Pivoting:O, off:O, of:O, this:O, artifact:O, provided:O, us:O, additional:O, Zebrocy:S-MAL, samples:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 sample in particular , cba5ab65a24be52214736bc1a5bc984953a9c15d0a3826d5b15e94036e5497df used yet another unique user agent string in combination with the previous user agent for its C2 : Mozilla v5.1 ( Windows NT 6.1 ; rv : 6.0.1 ) Gecko Firefox .' [/INST] [One:O, sample:O, in:O, particular:O, ,:O, cba5ab65a24be52214736bc1a5bc984953a9c15d0a3826d5b15e94036e5497df:S-SHA2, used:O, yet:O, another:O, unique:O, user:O, agent:O, string:O, in:O, combination:O, with:O, the:O, previous:O, user:O, agent:O, for:O, its:O, C2:S-TOOL, ::O, Mozilla:S-IDTY, v5.1:O, (:O, Windows:S-OS, NT:O, 6.1:O, ;:O, rv:O, ::O, 6.0.1:O, ):O, Gecko:S-TOOL, Firefox: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: 'A malware sample using two separate unique user agent strings is uncommon .' [/INST] [A:O, malware:O, sample:O, using:O, two:O, separate:O, unique:O, user:O, agent:O, strings:O, is:O, uncommon:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A closer examination of the tool revealed the second user agent string was from a secondary payload that was retrieved by the cba5ab65a24be52214736bc1a5bc984953a9c15d0a3826d5b15e94036e5497df sample .' [/INST] [A:O, closer:O, examination:O, of:O, the:O, tool:O, revealed:O, the:O, second:O, user:O, agent:O, string:O, was:O, from:O, a:O, secondary:O, payload:O, that:O, was:O, retrieved:O, by:O, the:O, cba5ab65a24be52214736bc1a5bc984953a9c15d0a3826d5b15e94036e5497df:S-SHA2, sample:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Pivoting from the Mozilla v5.1 user agent revealed over forty additional Zebrocy samples , with several again targeting the same Central Asian nation .' [/INST] [Pivoting:O, from:O, the:O, Mozilla:S-IDTY, v5.1:O, user:O, agent:O, revealed:O, over:O, forty:O, additional:O, Zebrocy:S-MAL, samples:O, ,:O, with:O, several:O, again:O, targeting:O, the:O, same:O, Central:O, Asian:O, nation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 samples specifically , 25f0d1cbcc53d8cfd6d848e12895ce376fbbfaf279be591774b28f70852a4fd8 and 115fd8c619fa173622c7a1e84efdf6fed08a25d3ca3095404dcbd5ac3deb1f03 provided additional artifacts we were able to pivot from to discover weaponized documents to deliver Zebrocy as well as a Koadic .' [/INST] [Two:O, samples:O, specifically:O, ,:O, 25f0d1cbcc53d8cfd6d848e12895ce376fbbfaf279be591774b28f70852a4fd8:S-SHA2, and:O, 115fd8c619fa173622c7a1e84efdf6fed08a25d3ca3095404dcbd5ac3deb1f03:S-SHA2, provided:O, additional:O, artifacts:O, we:O, were:O, able:O, to:O, pivot:O, from:O, to:O, discover:O, weaponized:O, documents:O, to:O, deliver:O, Zebrocy:S-MAL, as:O, well:O, as:O, a:O, Koadic: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: 'Examining the use of the unique user agents ’ strings over time shows that while previously only the Mozilla user agent was in use , since mid 2017 all three user agent strings have been used by the Zebrocy tool for its C2 communications .' [/INST] [Examining:O, the:O, use:O, of:O, the:O, unique:O, user:O, agents:O, ’:O, strings:O, over:O, time:O, shows:O, that:O, while:O, previously:O, only:O, the:O, Mozilla:S-IDTY, user:O, agent:O, was:O, in:O, use:O, ,:O, since:O, mid:B-TIME, 2017:E-TIME, all:O, three:O, user:O, agent:O, strings:O, have:O, been:O, used:O, by:O, the:O, Zebrocy:S-MAL, tool:O, for:O, its:O, C2:S-TOOL, 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: 'The two weaponized documents we discovered leveraging DDE were of particular interest due to victimology and a change in tactics .' [/INST] [The:O, two:O, weaponized:O, documents:O, we:O, discovered:O, leveraging:O, DDE:O, were:O, of:O, particular:O, interest:O, due:O, to:O, victimology:O, and:O, a:O, change:O, in:O, tactics:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 examining 25f0d1cbcc53d8cfd6d848e12895ce376fbbfaf279be591774b28f70852a4fd8 , we were able to pivot from its C2' [/INST] [While:O, examining:O, 25f0d1cbcc53d8cfd6d848e12895ce376fbbfaf279be591774b28f70852a4fd8:S-SHA2, ,:O, we:O, were:O, able:O, to:O, pivot:O, from:O, its:O, C2:S-TOOL] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '220.158.216.127 to gather additional Zebrocy samples as well as a weaponized document .' [/INST] [220.158.216.127:S-IP, to:O, gather:O, additional:O, Zebrocy:S-MAL, samples:O, as:O, well:O, as:O, a:O, weaponized:O, 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: 'This document 85da72c7dbf5da543e10f3f806afd4ebf133f27b6af7859aded2c3a6eced2fd5 appears to have been targeting a North American government organization dealing with foreign affairs .' [/INST] [This:O, document:O, 85da72c7dbf5da543e10f3f806afd4ebf133f27b6af7859aded2c3a6eced2fd5:S-SHA2, appears:O, to:O, have:O, been:O, targeting:O, a:O, North:O, American:O, government:O, organization:O, dealing:O, with:O, foreign:O, affairs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 leveraged DDE to retrieve and install a payload onto the victim host .' [/INST] [It:O, leveraged:O, DDE:S-PROT, to:O, retrieve:O, and:O, install:O, a:O, payload:O, onto:O, the:O, victim:O, host:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A decoy document is deployed in this attack , with the contents purporting be a publicly available document from the United Nations regarding the Republic of Uzbekistan .' [/INST] [A:O, decoy:O, document:O, is:O, deployed:O, in:O, this:O, attack:O, ,:O, with:O, the:O, contents:O, purporting:O, be:O, a:O, publicly:O, available:O, document:O, from:O, the:O, United:B-LOC, Nations:E-LOC, regarding:O, the:O, Republic:B-LOC, of:I-LOC, Uzbekistan:E-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The creator of the weaponized document appended their DDE instructions to the end of the document after all of the decoy contents .' [/INST] [The:O, creator:O, of:O, the:O, weaponized:O, document:O, appended:O, their:O, DDE:S-LOC, instructions:O, to:O, the:O, end:O, of:O, the:O, document:O, after:O, all:O, of:O, the:O, decoy:O, contents:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When the document is opened in Word , the instructions are not immediately visible , as Word does not display these fields contents by default .' [/INST] [When:O, the:O, document:O, is:O, opened:O, in:O, Word:S-TOOL, ,:O, the:O, instructions:O, are:O, not:O, immediately:O, visible:O, ,:O, as:O, Word:S-TOOL, does:O, not:O, display:O, these:O, fields:O, contents:O, by:O, default:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 you can see in the following screenshot , simply attempting to highlight the lines in which the DDE instructions reside does not display them .' [/INST] [As:O, you:O, can:O, see:O, in:O, the:O, following:O, screenshot:O, ,:O, simply:O, attempting:O, to:O, highlight:O, the:O, lines:O, in:O, which:O, the:O, DDE:S-PROT, instructions:O, reside:O, does:O, not:O, display: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: 'Enabling the “ Toggle Field Codes ” feature reveals the DDE instructions to us and shows that the author had set instructions to size 1 font and with a white coloring .' [/INST] [Enabling:O, the:O, “:O, Toggle:O, Field:O, Codes:O, ”:O, feature:O, reveals:O, the:O, DDE:S-PROT, instructions:O, to:O, us:O, and:O, shows:O, that:O, the:O, author:O, had:O, set:O, instructions:O, to:O, size:O, 1:O, font:O, and:O, with:O, a:O, white:O, coloring:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 use of a white font coloring to hide contents within a weaponized document is a technique we had previously reported being used by the Sofacy group in a malicious macro attack .' [/INST] [The:O, use:O, of:O, a:O, white:O, font:O, coloring:O, to:O, hide:O, contents:O, within:O, a:O, weaponized:O, document:O, is:O, a:O, technique:O, we:O, had:O, previously:O, reported:O, being:O, used:O, by:O, the:O, Sofacy:S-APT, group:O, in:O, a:O, malicious:O, macro: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 DDE instructions attempt to run the following the following command on the victim host , which attempts to download and execute a payload from a remote server .' [/INST] [The:O, DDE:S-PROT, instructions:O, attempt:O, to:O, run:O, the:O, following:O, the:O, following:O, command:O, on:O, the:O, victim:O, host:O, ,:O, which:O, attempts:O, to:O, download:O, and:O, execute:O, a:O, payload:O, from:O, a:O, remote:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During our analysis , we observed this DDE downloading and executing a Zebrocy AutoIt downloader f27836430742c9e014e1b080d89c47e43db299c2e00d0c0801a2830b41b57bc1 , configured to attempt to download an additional payload from 220.158.216.127 .' [/INST] [During:O, our:O, analysis:O, ,:O, we:O, observed:O, this:O, DDE:S-PROT, downloading:O, and:O, executing:O, a:O, Zebrocy:S-MAL, AutoIt:S-TOOL, downloader:O, f27836430742c9e014e1b080d89c47e43db299c2e00d0c0801a2830b41b57bc1:S-SHA2, ,:O, configured:O, to:O, attempt:O, to:O, download:O, an:O, additional:O, payload:O, from:O, 220.158.216.127:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 DDE instructions also included another command that it did not run , which suggests it is an artifact of a prior version of this delivery document .' [/INST] [The:O, DDE:S-PROT, instructions:O, also:O, included:O, another:O, command:O, that:O, it:O, did:O, not:O, run:O, ,:O, which:O, suggests:O, it:O, is:O, an:O, artifact:O, of:O, a:O, prior:O, version:O, of:O, this:O, delivery:O, 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 following shows this unused command , which exposed an additional server within Sofacy ’s infrastructure would download and execute an encoded PowerShell script from 92.114.92.102 .' [/INST] [The:O, following:O, shows:O, this:O, unused:O, command:O, ,:O, which:O, exposed:O, an:O, additional:O, server:O, within:O, Sofacy:S-APT, ’s:O, infrastructure:O, would:O, download:O, and:O, execute:O, an:O, encoded:O, PowerShell:S-TOOL, script:O, from:O, 92.114.92.102:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 unused command above appears to be related to previous attacks , specifically attacks that occurred in November 2017 as discussed by McAfee and ESET .' [/INST] [The:O, unused:O, command:O, above:O, appears:O, to:O, be:O, related:O, to:O, previous:O, attacks:O, ,:O, specifically:O, attacks:O, that:O, occurred:O, in:O, November:B-TIME, 2017:E-TIME, as:O, discussed:O, by:O, McAfee:S-SECTEAM, and: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: 'The payload delivered in these November 2017 attacks using DDE enabled documents was SofacyCarberp , which differs from the Zebrocy downloader delivered in the February 2018 attacks . 115fd8c619fa173622c7a1e84efdf6fed08a25d3ca3095404dcbd5ac3deb1f03 was another Zebrocy sample we were able to pivot from by gathering additional samples connecting to its C2 86.106.131.177 .' [/INST] [The:O, payload:O, delivered:O, in:O, these:O, November:B-TIME, 2017:E-TIME, attacks:O, using:O, DDE:S-PROT, enabled:O, documents:O, was:O, SofacyCarberp:S-MAL, ,:O, which:O, differs:O, from:O, the:O, Zebrocy:S-MAL, downloader:O, delivered:O, in:O, the:O, February:B-TIME, 2018:E-TIME, attacks:O, .:O, 115fd8c619fa173622c7a1e84efdf6fed08a25d3ca3095404dcbd5ac3deb1f03:S-SHA2, was:O, another:O, Zebrocy:S-MAL, sample:O, we:O, were:O, able:O, to:O, pivot:O, from:O, by:O, gathering:O, additional:O, samples:O, connecting:O, to:O, its:O, C2:S-TOOL, 86.106.131.177:S-IP, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 additional samples targeted the same large Central Asian nation state as previously mentioned but more interestingly , one of the samples was a weaponized document also leveraging DDE and containing a non-Zebrocy payload .' [/INST] [The:O, additional:O, samples:O, targeted:O, the:O, same:O, large:O, Central:O, Asian:O, nation:O, state:O, as:O, previously:O, mentioned:O, but:O, more:O, interestingly:O, ,:O, one:O, of:O, the:O, samples:O, was:O, a:O, weaponized:O, document:O, also:O, leveraging:O, DDE:S-PROT, and:O, containing:O, a:O, non-Zebrocy:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The payload turned out to be an open source penetration test toolkit called Koadic .' [/INST] [The:O, payload:O, turned:O, out:O, to:O, be:O, an:O, open:O, source:O, penetration:O, test:O, toolkit:O, called:O, Koadic:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 a toolkit similar to Metasploit or PowerShell Empire and is freely available to anyone on Github .' [/INST] [It:O, is:O, a:O, toolkit:O, similar:O, to:O, Metasploit:S-TOOL, or:O, PowerShell:S-TOOL, Empire:S-TOOL, and:O, is:O, freely:O, available:O, to:O, anyone:O, on:O, Github:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The RTF document 8cf3bc2bf36342e844e9c8108393562538a9af2a1011c80bb46416c0572c86ff was very small in size at 264 bytes .' [/INST] [The:O, RTF:S-TOOL, document:O, 8cf3bc2bf36342e844e9c8108393562538a9af2a1011c80bb46416c0572c86ff:S-SHA2, was:O, very:O, small:O, in:O, size:O, at:O, 264:O, bytes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 contents above use the DDE functionality in Microsoft Word to run a PowerShell script to download the Koadic payload from a remote server , save it as an executable file on the system and then execute the payload .' [/INST] [The:O, contents:O, above:O, use:O, the:O, DDE:S-PROT, functionality:O, in:O, Microsoft:S-IDTY, Word:S-TOOL, to:O, run:O, a:O, PowerShell:S-TOOL, script:O, to:O, download:O, the:O, Koadic:S-TOOL, payload:O, from:O, a:O, remote:O, server:O, ,:O, save:O, it:O, as:O, an:O, executable:O, file:O, on:O, the:O, system:O, and:O, then:O, execute:O, the:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Sofacy group continues their targeted attack campaigns in 2018 .' [/INST] [The:O, Sofacy:S-APT, group:O, continues:O, their:O, targeted:O, attack:O, campaigns:O, in:O, 2018:S-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As mentioned in this blog , Sofacy is carrying out parallel campaigns to attack similar targets around the world but with different toolsets .' [/INST] [As:O, mentioned:O, in:O, this:O, blog:O, ,:O, Sofacy:S-APT, is:O, carrying:O, out:O, parallel:O, campaigns:O, to:O, attack:O, similar:O, targets:O, around:O, the:O, world:O, but:O, with:O, different:O, toolsets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Zebrocy tool associated with this current strain of attacks is constructed in several different forms based on the programming language the developer chose to create the tool .' [/INST] [The:O, Zebrocy:S-MAL, tool:O, associated:O, with:O, this:O, current:O, strain:O, of:O, attacks:O, is:O, constructed:O, in:O, several:O, different:O, forms:O, based:O, on:O, the:O, programming:O, language:O, the:O, developer:O, chose:O, to:O, create:O, the:O, 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: 'We have observed Delphi , AutoIt , and C++ variants of Zebrocy , all of which are related not only in their functionality , but also at times by chaining the variants together in a single attack .' [/INST] [We:O, have:O, observed:O, Delphi:S-TOOL, ,:O, AutoIt:S-TOOL, ,:O, and:O, C++:S-TOOL, variants:O, of:O, Zebrocy:S-MAL, ,:O, all:O, of:O, which:O, are:O, related:O, not:O, only:O, in:O, their:O, functionality:O, ,:O, but:O, also:O, at:O, times:O, by:O, chaining:O, the:O, variants:O, together:O, in:O, a:O, single: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: 'These attacks are still largely perpetrated via spear phishing campaigns , whether via simple executable attachments in hopes that a victim will launch the file to using a previously observed DDE exploitation technique .' [/INST] [These:O, attacks:O, are:O, still:O, largely:O, perpetrated:O, via:O, spear:B-ACT, phishing:E-ACT, campaigns:O, ,:O, whether:O, via:O, simple:O, executable:O, attachments:O, in:O, hopes:O, that:O, a:O, victim:O, will:O, launch:O, the:O, file:O, to:O, using:O, a:O, previously:O, observed:O, DDE:S-PROT, exploitation:O, technique:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Uses DealersChoice to Target European Government Agency .' [/INST] [Sofacy:S-APT, Uses:O, DealersChoice:S-TOOL, to:O, Target:O, European:O, Government:O, Agency:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 October 2016 , Unit 42 published an initial analysis on a Flash exploitation framework used by the Sofacy threat group called DealersChoice .' [/INST] [Back:O, in:O, October:B-TIME, 2016:E-TIME, ,:O, Unit:O, 42:O, published:O, an:O, initial:O, analysis:O, on:O, a:O, Flash:S-TOOL, exploitation:O, framework:O, used:O, by:O, the:O, Sofacy:S-APT, threat:O, group:O, called:O, DealersChoice:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attack consisted of Microsoft Word delivery documents that contained Adobe Flash objects capable of loading additional malicious Flash objects embedded in the file or directly provided by a command and control server .' [/INST] [The:O, attack:O, consisted:O, of:O, Microsoft:S-IDTY, Word:S-TOOL, delivery:O, documents:O, that:O, contained:O, Adobe:S-IDTY, Flash:S-TOOL, objects:O, capable:O, of:O, loading:O, additional:O, malicious:O, Flash:S-TOOL, objects:O, embedded:O, in:O, the:O, file:O, or:O, directly:O, provided:O, by:O, a:O, command:O, and:O, control: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: 'Sofacy continued to use DealersChoice throughout the fall of 2016 , which we also documented in our December 2016 publication discussing Sofacy ’s larger campaign .' [/INST] [Sofacy:S-APT, continued:O, to:O, use:O, DealersChoice:S-TOOL, throughout:O, the:O, fall:B-TIME, of:I-TIME, 2016:E-TIME, ,:O, which:O, we:O, also:O, documented:O, in:O, our:O, December:B-TIME, 2016:E-TIME, publication:O, discussing:O, Sofacy:S-APT, ’s:O, larger:O, campaign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On March 12 and March 14 , we observed the Sofacy group carrying out an attack on a European government agency involving an updated variant of DealersChoice .' [/INST] [On:O, March:B-TIME, 12:E-TIME, and:O, March:B-TIME, 14:E-TIME, ,:O, we:O, observed:O, the:O, Sofacy:S-APT, group:O, carrying:O, out:O, an:O, attack:O, on:O, a:O, European:O, government:O, agency:O, involving:O, an:O, updated:O, variant:O, of:O, DealersChoice:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The updated DealersChoice documents used a similar process to obtain a malicious Flash object from a C2 server , but the inner mechanics of the Flash object contained significant differences in comparison to the original samples we analyzed .' [/INST] [The:O, updated:O, DealersChoice:S-TOOL, documents:O, used:O, a:O, similar:O, process:O, to:O, obtain:O, a:O, malicious:O, Flash:S-TOOL, object:O, from:O, a:O, C2:S-TOOL, server:O, ,:O, but:O, the:O, inner:O, mechanics:O, of:O, the:O, Flash:S-TOOL, object:O, contained:O, significant:O, differences:O, in:O, comparison:O, to:O, the:O, original:O, samples:O, we:O, analyzed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 of the differences was a particularly clever evasion technique : to our knowledge this has never been observed in use .' [/INST] [One:O, of:O, the:O, differences:O, was:O, a:O, particularly:O, clever:O, evasion:O, technique:O, ::O, to:O, our:O, knowledge:O, this:O, has:O, never:O, been:O, observed:O, in:O, use:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With the previous iterations of DealersChoice samples , the Flash object would immediately load and begin malicious tasks .' [/INST] [With:O, the:O, previous:O, iterations:O, of:O, DealersChoice:S-TOOL, samples:O, ,:O, the:O, Flash:S-TOOL, object:O, would:O, immediately:O, load:O, and:O, begin:O, malicious:O, tasks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the March attacks , the Flash object is only loaded if the user scrolls through the entire content of the delivery document and views the specific page the Flash object is embedded on .' [/INST] [In:O, the:O, March:S-TIME, attacks:O, ,:O, the:O, Flash:S-TOOL, object:O, is:O, only:O, loaded:O, if:O, the:O, user:O, scrolls:O, through:O, the:O, entire:O, content:O, of:O, the:O, delivery:O, document:O, and:O, views:O, the:O, specific:O, page:O, the:O, Flash:S-TOOL, object:O, is:O, embedded:O, on:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Also , DealersChoice requires multiple interactions with an active C2 server to successfully exploit an end system .' [/INST] [Also:O, ,:O, DealersChoice:S-TOOL, requires:O, multiple:O, interactions:O, with:O, an:O, active:O, C2:S-TOOL, server:O, to:O, successfully:O, exploit:O, an:O, end: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: 'The overall process to result in a successful exploitation is :' [/INST] [The:O, overall:O, process:O, to:O, result:O, in:O, a:O, successful:O, exploitation:O, is:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'User must open the Microsoft Word email attachment ;' [/INST] [User:O, must:O, open:O, the:O, Microsoft:S-IDTY, Word:S-TOOL, email:S-TOOL, attachment:O, ;:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'User must scroll to page three of the document , which will run the DealersChoice Flash object ;' [/INST] [User:O, must:O, scroll:O, to:O, page:O, three:O, of:O, the:O, document:O, ,:O, which:O, will:O, run:O, the:O, DealersChoice:S-TOOL, Flash:S-TOOL, object:O, ;:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Flash object must contact an active C2 server to download an additional Flash object containing exploit code ;' [/INST] [The:O, Flash:S-TOOL, object:O, must:O, contact:O, an:O, active:O, C2:S-TOOL, server:O, to:O, download:O, an:O, additional:O, Flash:S-TOOL, object:O, containing:O, exploit:O, code:O, ;:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Flash object must contact the same C2 server to download a secondary payload ;' [/INST] [The:O, initial:O, Flash:S-TOOL, object:O, must:O, contact:O, the:O, same:O, C2:S-TOOL, server:O, to:O, download:O, a:O, secondary:O, payload:O, ;:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Victim host must have a vulnerable version of Flash installed .' [/INST] [Victim:O, host:O, must:O, have:O, a:O, vulnerable:O, version:O, of:O, Flash:S-TOOL, installed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 involving this updated variant of DealersChoice was targeting a European government organization .' [/INST] [The:O, attack:O, involving:O, this:O, updated:O, variant:O, of:O, DealersChoice:S-TOOL, was:O, targeting:O, a:O, European:O, government:O, organization:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 relied on a spear-phishing email with a subject of “ Defence & Security 2018 Conference Agenda ” that had an attachment with a filename of “ Defence&Security_2018_Conference_Agenda.docx ” .' [/INST] [The:O, attack:O, relied:O, on:O, a:O, spear-phishing:S-ACT, email:S-TOOL, with:O, a:O, subject:O, of:O, “:O, Defence:O, &:O, Security:O, 2018:O, Conference:O, Agenda:O, ”:O, that:O, had:O, an:O, attachment:O, with:O, a:O, filename:O, of:O, “:O, Defence&Security_2018_Conference_Agenda.docx: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 attached document contains a conference agenda that the Sofacy group appears to have copied directly from the website for the “ Underwater Defence & Security 2018 Conference ” here .' [/INST] [The:O, attached:O, document:O, contains:O, a:O, conference:O, agenda:O, that:O, the:O, Sofacy:S-APT, group:O, appears:O, to:O, have:O, copied:O, directly:O, from:O, the:O, website:O, for:O, the:O, “:O, Underwater:O, Defence:O, &:O, Security:O, 2018:O, Conference:O, ”:O, here:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Opening the attached “ Defence & Security 2018 Conference Agenda.docx ” file does not immediately run malicious code to exploit the system .' [/INST] [Opening:O, the:O, attached:O, “:O, Defence:B-FILE, &:I-FILE, Security:I-FILE, 2018:I-FILE, Conference:I-FILE, Agenda.docx:E-FILE, ”:O, file:O, does:O, not:O, immediately:O, run:O, malicious:O, code:O, to:O, exploit: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: 'Instead , the user must scroll to the third page of the document , which will load a Flash object that contains ActionScript that will attempt to exploit the user ’s system to install a malicious payload .' [/INST] [Instead:O, ,:O, the:O, user:O, must:O, scroll:O, to:O, the:O, third:O, page:O, of:O, the:O, document:O, ,:O, which:O, will:O, load:O, a:O, Flash:S-TOOL, object:O, that:O, contains:O, ActionScript:S-TOOL, that:O, will:O, attempt:O, to:O, exploit:O, the:O, user:O, ’s:O, system:O, to:O, install:O, a:O, malicious:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Flash object embedded within this delivery document is a variant of an exploit tool that we call DealersChoice .' [/INST] [The:O, Flash:S-TOOL, object:O, embedded:O, within:O, this:O, delivery:O, document:O, is:O, a:O, variant:O, of:O, an:O, exploit:O, tool:O, that:O, we:O, call:O, DealersChoice: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: 'This suggests that the Sofacy group is confident that the targeted individuals would be interested enough in the content to peruse through it .' [/INST] [This:O, suggests:O, that:O, the:O, Sofacy:S-APT, group:O, is:O, confident:O, that:O, the:O, targeted:O, individuals:O, would:O, be:O, interested:O, enough:O, in:O, the:O, content:O, to:O, peruse:O, through:O, it:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We analyzed the document to determine the reason that the malicious Flash object only ran when the user scrolled to the third page .' [/INST] [We:O, analyzed:O, the:O, document:O, to:O, determine:O, the:O, reason:O, that:O, the:O, malicious:O, Flash:S-TOOL, object:O, only:O, ran:O, when:O, the:O, user:O, scrolled:O, to:O, the:O, third:O, page:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to the document.xml file , the DealersChoice loader SWF exists after the “ covert-shores-small.png ” image file within the delivery document .' [/INST] [According:O, to:O, the:O, document.xml:S-FILE, file:O, ,:O, the:O, DealersChoice:S-TOOL, loader:O, SWF:S-TOOL, exists:O, after:O, the:O, “:O, covert-shores-small.png:S-FILE, ”:O, image:O, file:O, within:O, the:O, delivery:O, 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: 'This image file exists on the third page of the document , so the user would have to scroll down in the document to this third page to get the SWF file to run .' [/INST] [This:O, image:O, file:O, exists:O, on:O, the:O, third:O, page:O, of:O, the:O, document:O, ,:O, so:O, the:O, user:O, would:O, have:O, to:O, scroll:O, down:O, in:O, the:O, document:O, to:O, this:O, third:O, page:O, to:O, get:O, the:O, SWF:S-TOOL, file:O, to:O, run:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 may not notice the Flash object on the page , as Word displays it as a tiny black box in the document , as seen in Figure 1 .' [/INST] [The:O, user:O, may:O, not:O, notice:O, the:O, Flash:S-TOOL, object:O, on:O, the:O, page:O, ,:O, as:O, Word:S-TOOL, displays:O, it:O, as:O, a:O, tiny:O, black:O, box:O, in:O, the:O, document:O, ,:O, as:O, seen:O, in:O, Figure:O, 1:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 an interesting anti-sandbox technique , as it requires human interaction prior to the document exhibiting any malicious activity .' [/INST] [This:O, is:O, an:O, interesting:O, anti-sandbox:O, technique:O, ,:O, as:O, it:O, requires:O, human:O, interaction:O, prior:O, to:O, the:O, document:O, exhibiting:O, any:O, malicious:O, activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This DealersChoice Flash object shares a similar process to previous variants ; however , it appears that the Sofacy actors have made slight changes to its internal code .' [/INST] [This:O, DealersChoice:S-TOOL, Flash:S-TOOL, object:O, shares:O, a:O, similar:O, process:O, to:O, previous:O, variants:O, ;:O, however:O, ,:O, it:O, appears:O, that:O, the:O, Sofacy:S-APT, actors:O, have:O, made:O, slight:O, changes:O, to:O, its:O, internal:O, code:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Also , it appears that the actors used ActionScript from an open source video player called “ f4player ” , which is freely available on GitHub .' [/INST] [Also:O, ,:O, it:O, appears:O, that:O, the:O, actors:O, used:O, ActionScript:S-TOOL, from:O, an:O, open:O, source:O, video:O, player:O, called:O, “:O, f4player:S-TOOL, ”:O, ,:O, which:O, is:O, freely:O, available:O, on:O, GitHub:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Sofacy developer modified the f4player ’s ActionScript to include additional code to load an embedded Flash object .' [/INST] [The:O, Sofacy:S-APT, developer:O, modified:O, the:O, f4player:S-TOOL, ’s:O, ActionScript:S-TOOL, to:O, include:O, additional:O, code:O, to:O, load:O, an:O, embedded:O, Flash:S-TOOL, object:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 additions include code to decrypt an embedded Flash object and an event handler that calls a newly added function ( “ skinEvent2 ” ) that plays the decrypted object .' [/INST] [The:O, additions:O, include:O, code:O, to:O, decrypt:O, an:O, embedded:O, Flash:S-TOOL, object:O, and:O, an:O, event:O, handler:O, that:O, calls:O, a:O, newly:O, added:O, function:O, (:O, “:O, skinEvent2:O, ”:O, ):O, that:O, plays:O, the:O, decrypted:O, object:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 above code allows DealersChoice to load a second SWF object , specifically loading it with an argument that includes a C2 URL of “ http://ndpmedia24.com/0pq6m4f.m3u8 ” .' [/INST] [The:O, above:O, code:O, allows:O, DealersChoice:S-TOOL, to:O, load:O, a:O, second:O, SWF:S-TOOL, object:O, ,:O, specifically:O, loading:O, it:O, with:O, an:O, argument:O, that:O, includes:O, a:O, C2:S-TOOL, URL:O, of:O, “:O, http://ndpmedia24.com/0pq6m4f.m3u8:S-URL, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 embedded SWF extracts the domain from the C2 URL passed to it and uses it to craft a URL to get the server ’s ‘ crossdomain.xml ’ file in order to obtain permissions to load additional Flash objects from the C2 domain .' [/INST] [The:O, embedded:O, SWF:S-TOOL, extracts:O, the:O, domain:O, from:O, the:O, C2:S-TOOL, URL:O, passed:O, to:O, it:O, and:O, uses:O, it:O, to:O, craft:O, a:O, URL:O, to:O, get:O, the:O, server:O, ’s:O, ‘:O, crossdomain.xml:S-FILE, ’:O, file:O, in:O, order:O, to:O, obtain:O, permissions:O, to:O, load:O, additional:O, Flash:S-TOOL, objects:O, from:O, the:O, C2:S-TOOL, domain:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The ActionScript relies on event listeners to call specific functions when the event “ Event.COMPLETE ” is triggered after successful HTTP requests are issued to the C2 server .' [/INST] [The:O, ActionScript:S-TOOL, relies:O, on:O, event:O, listeners:O, to:O, call:O, specific:O, functions:O, when:O, the:O, event:O, “:O, Event.COMPLETE:S-FILE, ”:O, is:O, triggered:O, after:O, successful:O, HTTP:S-PROT, requests:O, are:O, issued: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 event handlers call functions with the following names , which includes an incrementing number that represents the order in which the functions are called : onload1 , onload2 , onload3 , onload5 .' [/INST] [The:O, event:O, handlers:O, call:O, functions:O, with:O, the:O, following:O, names:O, ,:O, which:O, includes:O, an:O, incrementing:O, number:O, that:O, represents:O, the:O, order:O, in:O, which:O, the:O, functions:O, are:O, called:O, ::O, onload1:O, ,:O, onload2:O, ,:O, onload3:O, ,:O, onload5:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With these event handlers created , the ActionScript starts by gathering system data from the flash.system.Capabilities.serverString property ( just like in the original DealersChoice.B samples ) and issues an HTTP GET with the system data as a parameter to the C2 URL that was passed as an argument to the embedded SWF when it was initially loaded .' [/INST] [With:O, these:O, event:O, handlers:O, created:O, ,:O, the:O, ActionScript:S-TOOL, starts:O, by:O, gathering:O, system:O, data:O, from:O, the:O, flash.system.Capabilities.serverString:O, property:O, (:O, just:O, like:O, in:O, the:O, original:O, DealersChoice.B:S-FILE, samples:O, ):O, and:O, issues:O, an:O, HTTP:S-PROT, GET:O, with:O, the:O, system:O, data:O, as:O, a:O, parameter:O, to:O, the:O, C2:S-TOOL, URL:O, that:O, was:O, passed:O, as:O, an:O, argument:O, to:O, the:O, embedded:O, SWF:S-TOOL, when:O, it:O, was:O, initially:O, loaded:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When this HTTP request completes , the event listener will call the ‘ onload1 ’ function .' [/INST] [When:O, this:O, HTTP:S-PROT, request:O, completes:O, ,:O, the:O, event:O, listener:O, will:O, call:O, the:O, ‘:O, onload1:O, ’: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 ‘ onload1 ’ function parses the response data from the request to the C2 URL using regular expressions .' [/INST] [The:O, ‘:O, onload1:O, ’:O, function:O, parses:O, the:O, response:O, data:O, from:O, the:O, request:O, to:O, the:O, C2:S-TOOL, URL:O, using:O, regular:O, expressions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 regular expressions suggest that the C2 server responds with content that is meant to resemble HTTP Live Steaming ( HLS ) traffic , which is a protocol that uses HTTP to deliver audio and video files for streaming .' [/INST] [The:O, regular:O, expressions:O, suggest:O, that:O, the:O, C2:S-TOOL, server:O, responds:O, with:O, content:O, that:O, is:O, meant:O, to:O, resemble:O, HTTP:B-TOOL, Live:I-TOOL, Steaming:E-TOOL, (:O, HLS:S-TOOL, ):O, traffic:O, ,:O, which:O, is:O, a:O, protocol:O, that:O, uses:O, HTTP:S-PROT, to:O, deliver:O, audio:O, and:O, video:O, files:O, for:O, streaming:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 use of HLS coincides with the use of ActionScript code from the f4player to make the traffic seem legitimate .' [/INST] [The:O, use:O, of:O, HLS:S-TOOL, coincides:O, with:O, the:O, use:O, of:O, ActionScript:S-TOOL, code:O, from:O, the:O, f4player:S-TOOL, to:O, make:O, the:O, traffic:O, seem:O, legitimate:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 variables storing the results of the regular expression matches are used within the ActionScript for further interaction with the C2 server .' [/INST] [The:O, variables:O, storing:O, the:O, results:O, of:O, the:O, regular:O, expression:O, matches:O, are:O, used:O, within:O, the:O, ActionScript:S-TOOL, for:O, further:O, interaction:O, with: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 ‘ onload1 ’ function then sends an HTTP GET request to the C2 domain using the value stored in the ‘ r3 ’ variable as a URL .' [/INST] [The:O, ‘:O, onload1:O, ’:O, function:O, then:O, sends:O, an:O, HTTP:S-PROT, GET:O, request:O, to:O, the:O, C2:S-TOOL, domain:O, using:O, the:O, value:O, stored:O, in:O, the:O, ‘:O, r3:O, ’:O, variable:O, as:O, a:O, URL:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When this HTTP request completes , the event listener will call the ‘ onload2 ’ function .' [/INST] [When:O, this:O, HTTP:S-PROT, request:O, completes:O, ,:O, the:O, event:O, listener:O, will:O, call:O, the:O, ‘:O, onload2:O, ’: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 ‘ onload2 ’ function decrypts the response received from the HTTP request issued in ‘ onload1 ’ function .' [/INST] [The:O, ‘:O, onload2:O, ’:O, function:O, decrypts:O, the:O, response:O, received:O, from:O, the:O, HTTP:S-PROT, request:O, issued:O, in:O, ‘:O, onload1:O, ’: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: 'It does so by calling a sub-function to decrypt the content , using the value stored in the ‘ r1 ’ variable as a key .' [/INST] [It:O, does:O, so:O, by:O, calling:O, a:O, sub-function:O, to:O, decrypt:O, the:O, content:O, ,:O, using:O, the:O, value:O, stored:O, in:O, the:O, ‘:O, r1:O, ’:O, variable:O, as:O, a:O, key:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The sub-function to decrypt the content skips the first 4 bytes , suggesting that the first four bytes of the downloaded content is in cleartext ( most likely the “ FWS ” or “ CWS ” header to look legitimate ) .' [/INST] [The:O, sub-function:O, to:O, decrypt:O, the:O, content:O, skips:O, the:O, first:O, 4:O, bytes:O, ,:O, suggesting:O, that:O, the:O, first:O, four:O, bytes:O, of:O, the:O, downloaded:O, content:O, is:O, in:O, cleartext:O, (:O, most:O, likely:O, the:O, “:O, FWS:S-TOOL, ”:O, or:O, “:O, CWS:S-TOOL, ”:O, header:O, to:O, look:O, legitimate: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: 'After decrypting the content , the ‘ onload2 ’ function will issue another HTTP GET request with the system data as a parameter , but this time to the C2 using a URL from the ‘ r4 ’ variable .' [/INST] [After:O, decrypting:O, the:O, content:O, ,:O, the:O, ‘:O, onload2:O, ’:O, function:O, will:O, issue:O, another:O, HTTP:S-PROT, GET:O, request:O, with:O, the:O, system:O, data:O, as:O, a:O, parameter:O, ,:O, but:O, this:O, time:O, to:O, the:O, C2:S-TOOL, using:O, a:O, URL:O, from:O, the:O, ‘:O, r4:O, ’:O, variable:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When this request completes , the event listener will call the ‘ onload3 ’ function .' [/INST] [When:O, this:O, request:O, completes:O, ,:O, the:O, event:O, listener:O, will:O, call:O, the:O, ‘:O, onload3:O, ’: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 ‘ onload3 ’ function will take the response to the HTTP request in ‘ onload2 ’ and treat it as the payload .' [/INST] [The:O, ‘:O, onload3:O, ’:O, function:O, will:O, take:O, the:O, response:O, to:O, the:O, HTTP:S-PROT, request:O, in:O, ‘:O, onload2:O, ’:O, and:O, treat:O, it:O, as:O, the:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The ActionScript will read each byte of the C2 response and get the hexadecimal value .' [/INST] [The:O, ActionScript:S-TOOL, will:O, read:O, each:O, byte:O, of:O, the:O, C2:S-TOOL, response:O, and:O, get:O, the:O, hexadecimal:O, value:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 hexadecimal string will most likely be a string of shellcode that will contain and decrypt the ultimate portable executable ( PE ) payload .' [/INST] [This:O, hexadecimal:O, string:O, will:O, most:O, likely:O, be:O, a:O, string:O, of:O, shellcode:O, that:O, will:O, contain:O, and:O, decrypt:O, the:O, ultimate:O, portable:B-TOOL, executable:E-TOOL, (:O, PE:S-TOOL, ):O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The string of comma separated hexadecimal values is passed as a parameter when loading the SWF file downloaded in ‘ onload2 ’ .' [/INST] [The:O, string:O, of:O, comma:O, separated:O, hexadecimal:O, values:O, is:O, passed:O, as:O, a:O, parameter:O, when:O, loading:O, the:O, SWF:S-TOOL, file:O, downloaded:O, in:O, ‘:O, onload2: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: 'This function creates an event listener for when the SWF file is successfully loaded , which will call the ‘ onload5 ’ function .' [/INST] [This:O, function:O, creates:O, an:O, event:O, listener:O, for:O, when:O, the:O, SWF:S-TOOL, file:O, is:O, successfully:O, loaded:O, ,:O, which:O, will:O, call:O, the:O, ‘:O, onload5:O, ’: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 ‘ onload5 ’ function is responsible for adding the newly loaded SWF object as a child object .' [/INST] [The:O, ‘:O, onload5:O, ’:O, function:O, is:O, responsible:O, for:O, adding:O, the:O, newly:O, loaded:O, SWF:S-TOOL, object:O, as:O, a:O, child:O, object:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 loads the SWF file , effectively running the malicious code on the system .' [/INST] [This:O, loads:O, the:O, SWF:S-TOOL, file:O, ,:O, effectively:O, running:O, the:O, malicious:O, code:O, on: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: 'During our analysis , we were unable to coerce the C2 into providing a malicious SWF or payload .' [/INST] [During:O, our:O, analysis:O, ,:O, we:O, were:O, unable:O, to:O, coerce:O, the:O, C2:S-TOOL, into:O, providing:O, a:O, malicious:O, SWF:S-TOOL, or:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As mentioned in our previous blogs on DealersChoice , the payload of choice for previous variants was SofacyCarberp ( Seduploader ) , but we have no evidence to suggest this tool was used in this attack .' [/INST] [As:O, mentioned:O, in:O, our:O, previous:O, blogs:O, on:O, DealersChoice:S-TOOL, ,:O, the:O, payload:O, of:O, choice:O, for:O, previous:O, variants:O, was:O, SofacyCarberp:S-MAL, (:O, Seduploader:S-MAL, ):O, ,:O, but:O, we:O, have:O, no:O, evidence:O, to:O, suggest:O, this:O, tool:O, was:O, used:O, in: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: 'We are actively researching and will update this blog in the event we discover the malicious Flash object and payload delivered in this attack .' [/INST] [We:O, are:O, actively:O, researching:O, and:O, will:O, update:O, this:O, blog:O, in:O, the:O, event:O, we:O, discover:O, the:O, malicious:O, Flash:S-TOOL, object:O, and:O, payload:O, delivered:O, in: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 delivery document used in this attack was last modified by a user named ‘ Nick Daemoji ’ , which provides a linkage to previous Sofacy related delivery documents .' [/INST] [The:O, delivery:O, document:O, used:O, in:O, this:O, attack:O, was:O, last:O, modified:O, by:O, a:O, user:O, named:O, ‘:O, Nick:O, Daemoji:O, ’:O, ,:O, which:O, provides:O, a:O, linkage:O, to:O, previous:O, Sofacy:S-APT, related:O, delivery:O, documents:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The previous documents that used this user name were macro-laden delivery documents that installed payloads , as discussed in Talos ’ blog .' [/INST] [The:O, previous:O, documents:O, that:O, used:O, this:O, user:O, name:O, were:O, macro-laden:O, delivery:O, documents:O, that:O, installed:O, payloads:O, ,:O, as:O, discussed:O, in:O, Talos:O, ’:O, blog:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 overlap also points to a similar social engineering theme between these two campaigns , as both used content from upcoming military and defense conferences as a lure .' [/INST] [This:O, overlap:O, also:O, points:O, to:O, a:O, similar:O, social:O, engineering:O, theme:O, between:O, these:O, two:O, campaigns:O, ,:O, as:O, both:O, used:O, content:O, from:O, upcoming:O, military:O, and:O, defense:O, conferences:O, as:O, a:O, lure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 threat group continues to use their DealersChoice framework to exploit Flash vulnerabilities in their attack campaigns .' [/INST] [The:O, Sofacy:S-APT, threat:O, group:O, continues:O, to:O, use:O, their:O, DealersChoice:S-TOOL, framework:O, to:O, exploit:O, Flash:S-TOOL, vulnerabilities:O, in:O, their:O, attack: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 the most recent variant , Sofacy modified the internals of the malicious scripts , but continues to follow the same process used by previous variants by obtaining a malicious Flash object and payload directly from the C2 server .' [/INST] [In:O, the:O, most:O, recent:O, variant:O, ,:O, Sofacy:S-APT, modified:O, the:O, internals:O, of:O, the:O, malicious:O, scripts:O, ,:O, but:O, continues:O, to:O, follow:O, the:O, same:O, process:O, used:O, by:O, previous:O, variants:O, by:O, obtaining:O, a:O, malicious:O, Flash:S-TOOL, object:O, and:O, payload:O, directly:O, from:O, the:O, C2:S-TOOL, server:O, .:O] </s> |