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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: 'Travelers must be aware of the threats posed when traveling – especially to foreign countries – and take extra precautions to secure their systems and data .' [/INST] [Travelers:O, must:O, be:O, aware:O, of:O, the:O, threats:O, posed:O, when:O, traveling:O, –:O, especially:O, to:O, foreign:O, countries:O, –:O, and:O, take:O, extra:O, precautions:O, to:O, secure:O, their:O, systems:O, and:O, data:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Publicly accessible Wi-Fi networks present a significant threat and should be avoided whenever possible .' [/INST] [Publicly:O, accessible:O, Wi-Fi:B-TOOL, networks:E-TOOL, present:O, a:O, significant:O, threat:O, and:O, should:O, be:O, avoided:O, whenever:O, possible:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Continues Global Attacks and Wheels Out New Cannon Trojan .' [/INST] [Sofacy:S-APT, Continues:O, Global:O, Attacks:O, and:O, Wheels:O, Out:O, New:O, Cannon:S-TOOL, Trojan: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: 'Release_Time : 2018-11-20' [/INST] [Release_Time:O, ::O, 2018-11-20:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Report_URL : https://unit42.paloaltonetworks.com/unit42-sofacy-continues-global-attacks-wheels-new-cannon-trojan/' [/INST] [Report_URL:O, ::O, https://unit42.paloaltonetworks.com/unit42-sofacy-continues-global-attacks-wheels-new-cannon-trojan/:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In late October and early November 2018 , Unit 42 intercepted a series of weaponized documents that use a technique to load remote templates containing a malicious macro .' [/INST] [In:O, late:O, October:S-TIME, and:O, early:O, November:B-TIME, 2018:E-TIME, ,:O, Unit:B-SECTEAM, 42:E-SECTEAM, intercepted:O, a:O, series:O, of:O, weaponized:O, documents:O, that:O, use:O, a:O, technique:O, to:O, load:O, remote:O, templates:O, containing:O, a:O, malicious:B-TOOL, macro:E-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These types of weaponized documents are not uncommon but are more difficult to identify as malicious by automated analysis systems due to their modular nature .' [/INST] [These:O, types:O, of:O, weaponized:O, documents:O, are:O, not:O, uncommon:O, but:O, are:O, more:O, difficult:O, to:O, identify:O, as:O, malicious:O, by:O, automated:O, analysis:O, systems:O, due:O, to:O, their:O, modular:O, nature:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Specific to this technique , if the C2 server is not available at the time of execution , the malicious code cannot be retrieved , rendering the delivery document largely benign .' [/INST] [Specific:O, to:O, this:O, technique:O, ,:O, if:O, the:O, C2:S-TOOL, server:O, is:O, not:O, available:O, at:O, the:O, time:O, of:O, execution:O, ,:O, the:O, malicious:O, code:O, cannot:O, be:O, retrieved:O, ,:O, rendering:O, the:O, delivery:O, document:O, largely:O, benign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 weaponized documents targeted several government entities around the globe , including North America , Europe , and a former USSR state .' [/INST] [The:O, weaponized:O, documents:O, targeted:O, several:O, government:O, entities:O, around:O, the:O, globe:O, ,:O, including:O, North:B-LOC, America:E-LOC, ,:O, Europe:S-LOC, ,:O, and:O, a:O, former:O, USSR:B-LOC, state: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: 'Fortunately for us , the C2 servers for several of these documents were still operational allowing for retrieval of the malicious macro and the subsequent payloads .' [/INST] [Fortunately:O, for:O, us:O, ,:O, the:O, C2:S-TOOL, servers:O, for:O, several:O, of:O, these:O, documents:O, were:O, still:O, operational:O, allowing:O, for:O, retrieval:O, of:O, the:O, malicious:B-TOOL, macro:E-TOOL, and:O, the:O, subsequent:O, payloads:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Analysis revealed a consistent first-stage payload of the well-documented Zebrocy Trojan .' [/INST] [Analysis:O, revealed:O, a:O, consistent:O, first-stage:O, payload:O, of:O, the:O, well-documented:O, Zebrocy:S-MAL, Trojan: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: 'Additional collection of related documents revealed a second first-stage payload that we have named ‘ Cannon ’ .' [/INST] [Additional:O, collection:O, of:O, related:O, documents:O, revealed:O, a:O, second:O, first-stage:O, payload:O, that:O, we:O, have:O, named:O, ‘:O, Cannon:S-MAL, ’:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cannon has not been previously observed in use by the Sofacy group and contains a novel email-based C2 communication channel .' [/INST] [Cannon:S-MAL, has:O, not:O, been:O, previously:O, observed:O, in:O, use:O, by:O, the:O, Sofacy:S-APT, group:O, and:O, contains:O, a:O, novel:O, email-based:O, C2:S-TOOL, communication:O, channel:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'email as a C2 channel is not a new tactic , but it is generally not observed in the wild as often as HTTP or HTTPS .' [/INST] [email:S-TOOL, as:O, a:O, C2:S-TOOL, channel:O, is:O, not:O, a:O, new:O, tactic:O, ,:O, but:O, it:O, is:O, generally:O, not:O, observed:O, in:O, the:O, wild:O, as:O, often:O, as:O, HTTP:S-PROT, or:O, HTTPS:S-PROT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Using email as a C2 channel may also decrease the chance of detection , as sending email via non-sanctioned email providers may not necessarily construe suspicious or even malicious activity in many enterprises .' [/INST] [Using:O, email:S-TOOL, as:O, a:O, C2:S-TOOL, channel:O, may:O, also:O, decrease:O, the:O, chance:O, of:O, detection:O, ,:O, as:O, sending:O, email:S-TOOL, via:O, non-sanctioned:O, email:S-TOOL, providers:O, may:O, not:O, necessarily:O, construe:O, suspicious:O, or:O, even:O, malicious:O, activity:O, in:O, many:O, enterprises:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 activity discussed in this blog revolves around two of the multitude of weaponized documents that we collected .' [/INST] [The:O, activity:O, discussed:O, in:O, this:O, blog:O, revolves:O, around:O, two:O, of:O, the:O, multitude:O, of:O, weaponized:O, documents:O, that:O, we:O, collected:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These two documents shared multiple data artifacts , such as a shared C2 IP , shared author name , and shared tactics .' [/INST] [These:O, two:O, documents:O, shared:O, multiple:O, data:O, artifacts:O, ,:O, such:O, as:O, a:O, shared:O, C2:S-TOOL, IP:O, ,:O, shared:O, author:O, name:O, ,:O, and:O, shared: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: 'Details of the extended attack campaign associated with the Cannon Trojan will be discussed in a later blog .' [/INST] [Details:O, of:O, the:O, extended:O, attack:O, campaign:O, associated:O, with:O, the:O, Cannon:S-MAL, Trojan:S-MAL, will:O, be:O, discussed:O, in:O, a:O, later: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: 'A particularly interesting aspect of one of the two documents we analyzed was the filename used , crash list ( Lion Air Boeing 737 ).docx .' [/INST] [A:O, particularly:O, interesting:O, aspect:O, of:O, one:O, of:O, the:O, two:O, documents:O, we:O, analyzed:O, was:O, the:O, filename:O, used:O, ,:O, crash:B-FILE, list:I-FILE, (:I-FILE, Lion:I-FILE, Air:I-FILE, Boeing:I-FILE, 737:I-FILE, ).docx:E-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This is not the first instance of an adversary group using recent current events as a lure , but it is interesting to see this group attempt to capitalize on the attention of a catastrophic event to execute their attack .' [/INST] [This:O, is:O, not:O, the:O, first:O, instance:O, of:O, an:O, adversary:O, group:O, using:O, recent:O, current:O, events:O, as:O, a:O, lure:O, ,:O, but:O, it:O, is:O, interesting:O, to:O, see:O, this:O, group:O, attempt:O, to:O, capitalize:O, on:O, the:O, attention:O, of:O, a:O, catastrophic:O, event:O, to:O, execute:O, their: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 initial sample we intercepted was a Microsoft Word document ( SHA256 : 2cfc4b3686511f959f14889d26d3d9a0d06e27ee2bb54c9afb1ada6b8205c55f ) with the filename crash list ( Lion Air Boeing 737 ).docx using the author name Joohn .' [/INST] [The:O, initial:O, sample:O, we:O, intercepted:O, was:O, a:O, Microsoft:S-IDTY, Word:S-TOOL, document:O, (:O, SHA256:S-ENCR, ::O, 2cfc4b3686511f959f14889d26d3d9a0d06e27ee2bb54c9afb1ada6b8205c55f:S-SHA2, ):O, with:O, the:O, filename:O, crash:B-FILE, list:I-FILE, (:I-FILE, Lion:I-FILE, Air:I-FILE, Boeing:I-FILE, 737:I-FILE, ).docx:E-FILE, using:O, the:O, author:O, name:O, Joohn:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 appeared to be targeting a government organization dealing with foreign affairs in Europe via spear-phishing .' [/INST] [This:O, document:O, appeared:O, to:O, be:O, targeting:O, a:O, government:O, organization:O, dealing:O, with:O, foreign:O, affairs:O, in:O, Europe:S-LOC, via:O, spear-phishing:S-ACT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once the user attempts to open the document , Microsoft Word immediately attempts to load the remote template containing a malicious macro and payload from the location specified within the settings.xml.rels file of the DOCX document .' [/INST] [Once:O, the:O, user:O, attempts:O, to:O, open:O, the:O, document:O, ,:O, Microsoft:S-IDTY, Word:S-TOOL, immediately:O, attempts:O, to:O, load:O, the:O, remote:O, template:O, containing:O, a:O, malicious:B-TOOL, macro:E-TOOL, and:O, payload:O, from:O, the:O, location:O, specified:O, within:O, the:O, settings.xml.rels:S-FILE, file:O, of:O, the:O, DOCX:S-TOOL, document:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the C2 has already been taken offline the document will still open , but Word will be unable to retrieve the remote template and thus Word will not load a macro .' [/INST] [If:O, the:O, C2:S-TOOL, has:O, already:O, been:O, taken:O, offline:O, the:O, document:O, will:O, still:O, open:O, ,:O, but:O, Word:S-TOOL, will:O, be:O, unable:O, to:O, retrieve:O, the:O, remote:O, template:O, and:O, thus:O, Word:S-TOOL, will:O, not:O, load:O, a:O, macro:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this situation , Word will present the same lure document to the victim as seen in Figure 2 , but without the ability to enable macros via an Enable Content button .' [/INST] [In:O, this:O, situation:O, ,:O, Word:S-TOOL, will:O, present:O, the:O, same:O, lure:O, document:O, to:O, the:O, victim:O, as:O, seen:O, in:O, Figure:O, 2:O, ,:O, but:O, without:O, the:O, ability:O, to:O, enable:O, macros:S-TOOL, via:O, an:O, Enable:B-TOOL, Content:I-TOOL, button:E-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Assuming the C2 is still operational however , Word loads the remote template ( SHA256 : f1e2bceae81ccd54777f7862c616f22b581b47e0dda5cb02d0a722168ef194a5 ) and the user is presented with the screen .' [/INST] [Assuming:O, the:O, C2:S-TOOL, is:O, still:O, operational:O, however:O, ,:O, Word:S-TOOL, loads:O, the:O, remote:O, template:O, (:O, SHA256:S-ENCR, ::O, f1e2bceae81ccd54777f7862c616f22b581b47e0dda5cb02d0a722168ef194a5:S-SHA2, ):O, and:O, the:O, user:O, is:O, presented:O, with:O, the:O, screen:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once the victim presses the Enable content button , the embedded macro is executed .' [/INST] [Once:O, the:O, victim:O, presses:O, the:O, Enable:B-TOOL, content:I-TOOL, button:E-TOOL, ,:O, the:O, embedded:O, macro:S-TOOL, is:O, executed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The macros used for these delivery documents use a less common method of using the AutoClose function .' [/INST] [The:O, macros:S-TOOL, used:O, for:O, these:O, delivery:O, documents:O, use:O, a:O, less:O, common:O, method:O, of:O, using:O, the:O, AutoClose: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: 'This is a form of anti-analysis as Word will not fully execute the malicious code until the user closes the document .' [/INST] [This:O, is:O, a:O, form:O, of:O, anti-analysis:O, as:O, Word:S-TOOL, will:O, not:O, fully:O, execute:O, the:O, malicious:O, code:O, until:O, the:O, user:O, closes:O, the: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: 'If an automated sandbox exits its analysis session without specifically closing out the document , the sandbox may miss the malicious activity entirely .' [/INST] [If:O, an:O, automated:O, sandbox:O, exits:O, its:O, analysis:O, session:O, without:O, specifically:O, closing:O, out:O, the:O, document:O, ,:O, the:O, sandbox:O, may:O, miss:O, the:O, malicious:O, activity:O, entirely:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 successfully executed , the macro will install a payload and save a document to the system .' [/INST] [Once:O, successfully:O, executed:O, ,:O, the:O, macro:S-TOOL, will:O, install:O, a:O, payload:O, and:O, save:O, a:O, document: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: 'Typically , we expect to see a decoy document saved to the system and later displayed to make the victim less suspicious of malicious activity ; however , in this case the document saved to the system was never displayed and does not contain any pertinent content to the Lion Air tragedy theme seen in the filename .' [/INST] [Typically:O, ,:O, we:O, expect:O, to:O, see:O, a:O, decoy:O, document:O, saved:O, to:O, the:O, system:O, and:O, later:O, displayed:O, to:O, make:O, the:O, victim:O, less:O, suspicious:O, of:O, malicious:O, activity:O, ;:O, however:O, ,:O, in:O, this:O, case:O, the:O, document:O, saved:O, to:O, the:O, system:O, was:O, never:O, displayed:O, and:O, does:O, not:O, contain:O, any:O, pertinent:O, content:O, to:O, the:O, Lion:B-IDTY, Air:E-IDTY, tragedy:O, theme:O, seen:O, in:O, the:O, filename:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 macro obtains the document saved to the system from within the document stored as UserForm1.Label1.Caption and will write it to : %TEMP%\~temp.docm .' [/INST] [The:O, macro:S-TOOL, obtains:O, the:O, document:O, saved:O, to:O, the:O, system:O, from:O, within:O, the:O, document:O, stored:O, as:O, UserForm1.Label1.Caption:S-FILE, and:O, will:O, write:O, it:O, to:O, ::O, %TEMP%\~temp.docm:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The macro obtains the payload saved to the system from within the document stored as UserForm1.Label2.Caption and will write it to : %APPDATA%\MSDN\~msdn.exe .' [/INST] [The:O, macro:S-TOOL, obtains:O, the:O, payload:O, saved:O, to:O, the:O, system:O, from:O, within:O, the:O, document:O, stored:O, as:O, UserForm1.Label2.Caption:S-FILE, and:O, will:O, write:O, it:O, to:O, ::O, %APPDATA%\MSDN\~msdn.exe:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The macro executes this payload in a rather interesting way by loading the dropped ~temp.docm document and calling a function within its embedded macro to run the payload .' [/INST] [The:O, macro:S-TOOL, executes:O, this:O, payload:O, in:O, a:O, rather:O, interesting:O, way:O, by:O, loading:O, the:O, dropped:O, ~temp.docm:S-FILE, document:O, and:O, calling:O, a:O, function:O, within:O, its:O, embedded:O, macro:O, to:O, run: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: 'We believe the creator of this delivery document chose to run the payload from the dropped file as an evasion technique .' [/INST] [We:O, believe:O, the:O, creator:O, of:O, this:O, delivery:O, document:O, chose:O, to:O, run:O, the:O, payload:O, from:O, the:O, dropped:O, file:O, as:O, an:O, evasion: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: 'Also , the fact the initial macro uses this dropped document for the execution of the payload may also explain why the document did not contain any decoy contents .' [/INST] [Also:O, ,:O, the:O, fact:O, the:O, initial:O, macro:S-TOOL, uses:O, this:O, dropped:O, document:O, for:O, the:O, execution:O, of:O, the:O, payload:O, may:O, also:O, explain:O, why:O, the:O, document:O, did:O, not:O, contain:O, any: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: 'To carry out this functionality , after writing the' [/INST] [To:O, carry:O, out:O, this:O, functionality:O, ,:O, after:O, writing:O, the:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '~temp.docm and ~msdn.exe files to the system , the initial macro will load the ~temp.docm file as a Word Document object and attempts to run the function Proc1 in the Module1 macro within the ~temp.docm file .' [/INST] [~temp.docm:S-FILE, and:O, ~msdn.exe:S-FILE, files:O, to:O, the:O, system:O, ,:O, the:O, initial:O, macro:S-TOOL, will:O, load:O, the:O, ~temp.docm:S-FILE, file:O, as:O, a:O, Word:S-TOOL, Document:O, object:O, and:O, attempts:O, to:O, run:O, the:O, function:O, Proc1:O, in:O, the:O, Module1:O, macro:S-TOOL, within:O, the:O, ~temp.docm:S-FILE, 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 Proc1 function within the Module1 does nothing more than build the %APPDATA%\MSDN\~msdn.exe path to the dropped payload and executes it using the built-in Shell function .' [/INST] [The:O, Proc1:O, function:O, within:O, the:O, Module1:O, does:O, nothing:O, more:O, than:O, build:O, the:O, %APPDATA%\MSDN\~msdn.exe:S-FILE, path:O, to:O, the:O, dropped:O, payload:O, and:O, executes:O, it:O, using:O, the:O, built-in:O, Shell: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 payload dropped to the system ( SHA256 : 6ad3eb8b5622145a70bec67b3d14868a1c13864864afd651fe70689c95b1399a ) is a UPX packed Zebrocy variant written in the Delphi language .' [/INST] [The:O, payload:O, dropped:O, to:O, the:O, system:O, (:O, SHA256:S-ENCR, ::O, 6ad3eb8b5622145a70bec67b3d14868a1c13864864afd651fe70689c95b1399a:S-SHA2, ):O, is:O, a:O, UPX:S-TOOL, packed:O, Zebrocy:S-MAL, variant:O, written:O, in:O, the:O, Delphi:S-TOOL, language:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 variant of Zebrocy is functionally very similar to the Delphi based payloads discussed in our previous publication on Sofacy attacks using Zebrocy earlier this year .' [/INST] [This:O, variant:O, of:O, Zebrocy:S-MAL, is:O, functionally:O, very:O, similar:O, to:O, the:O, Delphi:S-TOOL, based:O, payloads:O, discussed:O, in:O, our:O, previous:O, publication:O, on:O, Sofacy:S-APT, attacks:O, using:O, Zebrocy:S-MAL, earlier: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: 'The developer of this particular payload configured it to use the following URL to communicate with as its C2 : http://188.241.58.170/local/s3/filters.php .' [/INST] [The:O, developer:O, of:O, this:O, particular:O, payload:O, configured:O, it:O, to:O, use:O, the:O, following:O, URL:O, to:O, communicate:O, with:O, as:O, its:O, C2:S-TOOL, ::O, http://188.241.58.170/local/s3/filters.php:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Zebrocy Trojan gathers system specific information that it will send to the C2 server via an HTTP POST request to the above URL .' [/INST] [The:O, Zebrocy:S-MAL, Trojan:S-MAL, gathers:O, system:O, specific:O, information:O, that:O, it:O, will:O, send:O, to:O, the:O, C2:S-TOOL, server:O, via:O, an:O, HTTP:O, POST:O, request:O, to:O, the:O, above: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: 'Like other Zebrocy samples , this Trojan collects system specific information it will send to the C2 server by running the command SYSTEMINFO & TASKLIST on the command line and by enumerating information about connected storage devices .' [/INST] [Like:O, other:O, Zebrocy:S-MAL, samples:O, ,:O, this:O, Trojan:S-MAL, collects:O, system:O, specific:O, information:O, it:O, will:O, send:O, to:O, the:O, C2:S-TOOL, server:O, by:O, running:O, the:O, command:O, SYSTEMINFO:O, &:O, TASKLIST:O, on:O, the:O, command:O, line:O, and:O, by:O, enumerating:O, information:O, about:O, connected:O, storage:O, devices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 specific variant of Zebrocy will also send a screenshot of the victim host as a JPEG image to the C2 server .' [/INST] [This:O, specific:O, variant:O, of:O, Zebrocy:S-MAL, will:O, also:O, send:O, a:O, screenshot:O, of:O, the:O, victim:O, host:O, as:O, a:O, JPEG:S-TOOL, image: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 C2 server will then provide a secondary payload to the beacon in ASCII hexadecimal representation , which the Trojan will decode and write to the following location : %APPDATA%\Roaming\Audio\soundfix.exe .' [/INST] [The:O, C2:S-TOOL, server:O, will:O, then:O, provide:O, a:O, secondary:O, payload:O, to:O, the:O, beacon:O, in:O, ASCII:S-TOOL, hexadecimal:O, representation:O, ,:O, which:O, the:O, Trojan:S-MAL, will:O, decode:O, and:O, write:O, to:O, the:O, following:O, location:O, ::O, %APPDATA%\Roaming\Audio\soundfix.exe:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During our analysis , the C2 server provided a secondary payload that functionally appeared similar to the initial Zebrocy sample .' [/INST] [During:O, our:O, analysis:O, ,:O, the:O, C2:S-TOOL, server:O, provided:O, a:O, secondary:O, payload:O, that:O, functionally:O, appeared:O, similar:O, to:O, the:O, initial:O, Zebrocy:S-MAL, 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: 'The secondary payload was also written in Delphi and its developer configured it to communicate with its C2 server using HTTPS via the following URL : https://200.122.181.25/catalog/products/books.php .' [/INST] [The:O, secondary:O, payload:O, was:O, also:O, written:O, in:O, Delphi:S-TOOL, and:O, its:O, developer:O, configured:O, it:O, to:O, communicate:O, with:O, its:O, C2:S-TOOL, server:O, using:O, HTTPS:S-PROT, via:O, the:O, following:O, URL:O, ::O, https://200.122.181.25/catalog/products/books.php:S-URL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We were able to collect a second delivery document that shared the Joohn author from the crash list ( Lion Air Boeing 737 ).docx document , as well as the 188.241.58.170 C2 IP to host its remote template .' [/INST] [We:O, were:O, able:O, to:O, collect:O, a:O, second:O, delivery:O, document:O, that:O, shared:O, the:O, Joohn:O, author:O, from:O, the:O, crash:B-FILE, list:I-FILE, (:I-FILE, Lion:I-FILE, Air:I-FILE, Boeing:I-FILE, 737:I-FILE, ).docx:E-FILE, document:O, ,:O, as:O, well:O, as:O, the:O, 188.241.58.170:S-IP, C2:S-TOOL, IP:O, to:O, host:O, its:O, remote:O, template:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Structurally this sample was very similar to the initially analyzed document , but the payload turned out to be a completely new tool which we have named Cannon .' [/INST] [Structurally:O, this:O, sample:O, was:O, very:O, similar:O, to:O, the:O, initially:O, analyzed:O, document:O, ,:O, but:O, the:O, payload:O, turned:O, out:O, to:O, be:O, a:O, completely:O, new:O, tool:O, which:O, we:O, have:O, named:O, Cannon: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 tool is written in C# whose malicious code exists in a namespace called cannon , which is the basis of the Trojan ’s name .' [/INST] [The:O, tool:O, is:O, written:O, in:O, C#:S-TOOL, whose:O, malicious:O, code:O, exists:O, in:O, a:O, namespace:O, called:O, cannon:S-MAL, ,:O, which:O, is:O, the:O, basis:O, of:O, the:O, Trojan:S-MAL, ’s:O, name:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Trojan functions primarily as a downloader that relies on emails to communicate between the Trojan and the C2 server .' [/INST] [The:O, Trojan:S-MAL, functions:O, primarily:O, as:O, a:O, downloader:O, that:O, relies:O, on:O, emails:S-TOOL, to:O, communicate:O, between:O, the:O, Trojan:S-MAL, and: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: 'To communicate with the C2 server , the Trojan will send emails to specific email addresses via SMTPS over TCP port 587 .' [/INST] [To:O, communicate:O, with:O, the:O, C2:S-TOOL, server:O, ,:O, the:O, Trojan:S-MAL, will:O, send:O, emails:S-TOOL, to:O, specific:O, email:S-TOOL, addresses:O, via:O, SMTPS:S-PROT, over:O, TCP:S-PROT, port:O, 587:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 tool also has a heavy reliance on EventHandlers with timers to run its methods in a specific order and potentially increase its evasion capability .' [/INST] [This:O, tool:O, also:O, has:O, a:O, heavy:O, reliance:O, on:O, EventHandlers:O, with:O, timers:O, to:O, run:O, its:O, methods:O, in:O, a:O, specific:O, order:O, and:O, potentially:O, increase:O, its:O, evasion:O, capability:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 purpose of Cannon is to use several email accounts to send system data ( system information and screenshot ) to the threat actors and to ultimately obtain a payload from an email from the actors .' [/INST] [The:O, overall:O, purpose:O, of:O, Cannon:S-MAL, is:O, to:O, use:O, several:O, email:S-TOOL, accounts:O, to:O, send:O, system:O, data:O, (:O, system:O, information:O, and:O, screenshot:O, ):O, to:O, the:O, threat:O, actors:O, and:O, to:O, ultimately:O, obtain:O, a:O, payload:O, from:O, an:O, email:S-TOOL, from:O, the:O, actors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 following step-by-step process illustrates how Cannon communicates with the actor-controlled C2 email address to obtain a secondary payload .' [/INST] [In:O, addition:O, to:O, the:O, following:O, step-by-step:O, process:O, illustrates:O, how:O, Cannon:S-MAL, communicates:O, with:O, the:O, actor-controlled:O, C2:S-TOOL, email:S-TOOL, address:O, to:O, obtain: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: 'Cannon gathers system information and saves it to a file named ini .' [/INST] [Cannon:S-MAL, gathers:O, system:O, information:O, and:O, saves:O, it:O, to:O, a:O, file:O, named:O, ini:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Trojan sends an email to sahro.bella7@post.cz with i.ini as the attachment , S_inf within the body and a subject with a unique system identifier via SMTPS from one of the following accounts : Bishtr.cam47 , Lobrek.chizh , Cervot.woprov .' [/INST] [The:O, Trojan:S-MAL, sends:O, an:O, email:S-TOOL, to:O, sahro.bella7@post.cz:S-EMAIL, with:O, i.ini:S-FILE, as:O, the:O, attachment:O, ,:O, S_inf:O, within:O, the:O, body:O, and:O, a:O, subject:O, with:O, a:O, unique:O, system:O, identifier:O, via:O, SMTPS:S-PROT, from:O, one:O, of:O, the:O, following:O, accounts:O, ::O, Bishtr.cam47:S-FILE, ,:O, Lobrek.chizh:S-FILE, ,:O, Cervot.woprov: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: 'Cannon takes a screenshot and saves it to a file named ops .' [/INST] [Cannon:S-MAL, takes:O, a:O, screenshot:O, and:O, saves:O, it:O, to:O, a:O, file:O, named:O, ops:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Trojan sends an email to sahro.bella7@post.cz with sysscr.ops as the attachment , the string SCreen within the body and a subject with the unique system identifier via SMTPS from one of three previously used accounts .' [/INST] [The:O, Trojan:S-MAL, sends:O, an:O, email:S-TOOL, to:O, sahro.bella7@post.cz:S-EMAIL, with:O, sysscr.ops:S-FILE, as:O, the:O, attachment:O, ,:O, the:O, string:O, SCreen:O, within:O, the:O, body:O, and:O, a:O, subject:O, with:O, the:O, unique:O, system:O, identifier:O, via:O, SMTPS:S-PROT, from:O, one:O, of:O, three:O, previously:O, used:O, accounts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 actors likely log into sahro.bella7@post.cz and process the system information and screenshot sent by the Trojan to determine if the compromised host is of interest .' [/INST] [The:O, actors:O, likely:O, log:O, into:O, sahro.bella7@post.cz:S-EMAIL, and:O, process:O, the:O, system:O, information:O, and:O, screenshot:O, sent:O, by:O, the:O, Trojan:S-MAL, to:O, determine:O, if:O, the:O, compromised:O, host:O, is:O, of:O, interest:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 actor wishes to download an additional payload to the compromised host , they will respond by sending emails in the following steps .' [/INST] [If:O, the:O, actor:O, wishes:O, to:O, download:O, an:O, additional:O, payload:O, to:O, the:O, compromised:O, host:O, ,:O, they:O, will:O, respond:O, by:O, sending:O, emails:S-TOOL, in:O, the:O, following:O, steps:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The actor sends an email to trala.cosh2@post.cz with the unique system identifier as a subject with a secondary email account and credentials in ASCII hexadecimal format within the message body .' [/INST] [The:O, actor:O, sends:O, an:O, email:S-TOOL, to:O, trala.cosh2@post.cz:S-EMAIL, with:O, the:O, unique:O, system:O, identifier:O, as:O, a:O, subject:O, with:O, a:O, secondary:O, email:S-TOOL, account:O, and:O, credentials:O, in:O, ASCII:S-TOOL, hexadecimal:O, format:O, within:O, the:O, message:O, body:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 secondary email account is unknown at this time , so we will refer to it as “ secondary email account ” in future steps .' [/INST] [This:O, secondary:O, email:S-TOOL, account:O, is:O, unknown:O, at:O, this:O, time:O, ,:O, so:O, we:O, will:O, refer:O, to:O, it:O, as:O, “:O, secondary:O, email:S-TOOL, account:O, ”:O, in:O, future:O, steps:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The actor sends an email to the secondary email account with the unique system identifier as a subject with a secondary payload attached with a filename of txt .' [/INST] [The:O, actor:O, sends:O, an:O, email:S-TOOL, to:O, the:O, secondary:O, email:S-TOOL, account:O, with:O, the:O, unique:O, system:O, identifier:O, as:O, a:O, subject:O, with:O, a:O, secondary:O, payload:O, attached:O, with:O, a:O, filename:O, of:O, txt: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: 'Cannon logs into the trala.cosh2@post.cz account via POP3S looking for emails with a subject that matches the unique system identifier .' [/INST] [Cannon:S-MAL, logs:O, into:O, the:O, trala.cosh2@post.cz:S-EMAIL, account:O, via:O, POP3S:S-PROT, looking:O, for:O, emails:S-TOOL, with:O, a:O, subject:O, that:O, matches:O, the:O, unique:O, system:O, identifier:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cannon opens the email with the correct subject and decodes the hexadecimal data in the body of the message to obtain the secondary email account .' [/INST] [Cannon:S-MAL, opens:O, the:O, email:S-TOOL, with:O, the:O, correct:O, subject:O, and:O, decodes:O, the:O, hexadecimal:O, data:O, in:O, the:O, body:O, of:O, the:O, message:O, to:O, obtain:O, the:O, secondary:O, email:S-TOOL, account:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cannon acknowledges the receipt of the secondary email address by sending an email to sahro.bella7@post.cz with s.txt ( contains {SysPar = 65} string ) as the attachment , ok within the body and a subject with the unique system identifier via SMTPS from one of the three accounts from Step 1 .' [/INST] [Cannon:S-MAL, acknowledges:O, the:O, receipt:O, of:O, the:O, secondary:O, email:S-TOOL, address:O, by:O, sending:O, an:O, email:S-TOOL, to:O, sahro.bella7@post.cz:S-EMAIL, with:O, s.txt:S-FILE, (:O, contains:O, {SysPar:O, =:O, 65}:O, string:O, ):O, as:O, the:O, attachment:O, ,:O, ok:O, within:O, the:O, body:O, and:O, a:O, subject:O, with:O, the:O, unique:O, system:O, identifier:O, via:O, SMTPS:S-PROT, from:O, one:O, of:O, the:O, three:O, accounts:O, from:O, Step: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: 'The actor sends an email to trala.cosh2@post.cz with the unique system identifier as a subject with a file path that the Cannon Trojan will use to save the secondary payload .' [/INST] [The:O, actor:O, sends:O, an:O, email:S-TOOL, to:O, trala.cosh2@post.cz:S-EMAIL, with:O, the:O, unique:O, system:O, identifier:O, as:O, a:O, subject:O, with:O, a:O, file:O, path:O, that:O, the:O, Cannon:S-MAL, Trojan:S-MAL, will:O, use:O, to:O, save:O, the: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: 'Cannon logs into the secondary email account via POP3S looking for emails with a subject that matches the unique system identifier .' [/INST] [Cannon:S-MAL, logs:O, into:O, the:O, secondary:O, email:S-TOOL, account:O, via:O, POP3S:S-PROT, looking:O, for:O, emails:S-TOOL, with:O, a:O, subject:O, that:O, matches:O, the:O, unique:O, system:O, identifier:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cannon opens the email with the correct subject and saves the attachment named auddevc.txt .' [/INST] [Cannon:S-MAL, opens:O, the:O, email:S-TOOL, with:O, the:O, correct:O, subject:O, and:O, saves:O, the:O, attachment:O, named:O, auddevc.txt: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: 'Cannon acknowledges the receipt of file download by sending an email to sahro.bella7@post.cz with l.txt ( contains 090 string ) as the attachment , ok2 within the body and a subject with the unique system identifier via SMTPS from one of the three accounts from Step 1 .' [/INST] [Cannon:S-MAL, acknowledges:O, the:O, receipt:O, of:O, file:O, download:O, by:O, sending:O, an:O, email:S-TOOL, to:O, sahro.bella7@post.cz:S-EMAIL, with:O, l.txt:S-FILE, (:O, contains:O, 090:O, string:O, ):O, as:O, the:O, attachment:O, ,:O, ok2:O, within:O, the:O, body:O, and:O, a:O, subject:O, with:O, the:O, unique:O, system:O, identifier:O, via:O, SMTPS:S-PROT, from:O, one:O, of:O, the:O, three:O, accounts:O, from:O, Step: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: 'Cannon logs into the trala.cosh2@post.cz account via POP3S looking for emails with a subject that matches the unique system identifier .' [/INST] [Cannon:S-MAL, logs:O, into:O, the:O, trala.cosh2@post.cz:S-EMAIL, account:O, via:O, POP3S:S-PROT, looking:O, for:O, emails:S-TOOL, with:O, a:O, subject:O, that:O, matches:O, the:O, unique:O, system:O, identifier:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cannon opens the email with the correct subject and decodes the hexadecimal data in the body of the message to obtain the file path that it will use to move the downloaded auddevc.txt file .' [/INST] [Cannon:S-MAL, opens:O, the:O, email:S-TOOL, with:O, the:O, correct:O, subject:O, and:O, decodes:O, the:O, hexadecimal:O, data:O, in:O, the:O, body:O, of:O, the:O, message:O, to:O, obtain:O, the:O, file:O, path:O, that:O, it:O, will:O, use:O, to:O, move:O, the:O, downloaded:O, auddevc.txt:S-FILE, 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: 'Cannon acknowledges the receipt of file path by sending an email to sahro.bella7@post.cz with s.txt ( contains {SysPar = 65} string ) as the attachment , ok3 within the body and a subject with the unique system identifier via SMTPS from one of the three accounts from Step 1 .' [/INST] [Cannon:S-MAL, acknowledges:O, the:O, receipt:O, of:O, file:O, path:O, by:O, sending:O, an:O, email:S-TOOL, to:O, sahro.bella7@post.cz:S-EMAIL, with:O, s.txt:S-FILE, (:O, contains:O, {SysPar:O, =:O, 65}:O, string:O, ):O, as:O, the:O, attachment:O, ,:O, ok3:O, within:O, the:O, body:O, and:O, a:O, subject:O, with:O, the:O, unique:O, system:O, identifier:O, via:O, SMTPS:S-PROT, from:O, one:O, of:O, the:O, three:O, accounts:O, from:O, Step: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: 'Cannon moves the downloaded file to the specified path .' [/INST] [Cannon:S-MAL, moves:O, the:O, downloaded:O, file:O, to:O, the:O, specified:O, path:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cannon acknowledges the successful move by sending an email to sahro.bella7@post.cz with l.txt ( contains 090 string ) as the attachment , ok4 within the body and a subject with the unique system identifier via SMTPS from one of the three accounts from Step 1 .' [/INST] [Cannon:S-MAL, acknowledges:O, the:O, successful:O, move:O, by:O, sending:O, an:O, email:S-TOOL, to:O, sahro.bella7@post.cz:S-EMAIL, with:O, l.txt:S-FILE, (:O, contains:O, 090:O, string:O, ):O, as:O, the:O, attachment:O, ,:O, ok4:O, within:O, the:O, body:O, and:O, a:O, subject:O, with:O, the:O, unique:O, system:O, identifier:O, via:O, SMTPS:S-PROT, from:O, one:O, of:O, the:O, three:O, accounts:O, from:O, Step: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: 'Cannon runs the downloaded file from the specified path .' [/INST] [Cannon:S-MAL, runs:O, the:O, downloaded:O, file:O, from:O, the:O, specified:O, path:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cannon acknowledges the successful execution by sending an email to sahro.bella7@post.cz with s.txt ( contains {SysPar = 65} string ) as the attachment , ok5 within the body and a subject with the unique system identifier via SMTPS from one of the three accounts from Step 1 .' [/INST] [Cannon:S-MAL, acknowledges:O, the:O, successful:O, execution:O, by:O, sending:O, an:O, email:S-TOOL, to:O, sahro.bella7@post.cz:S-EMAIL, with:O, s.txt:S-FILE, (:O, contains:O, {SysPar:O, =:O, 65}:O, string:O, ):O, as:O, the:O, attachment:O, ,:O, ok5:O, within:O, the:O, body:O, and:O, a:O, subject:O, with:O, the:O, unique:O, system:O, identifier:O, via:O, SMTPS:S-PROT, from:O, one:O, of:O, the:O, three:O, accounts:O, from:O, Step: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: 'The Sofacy threat group continues to target government organizations in the EU , US , and former Soviet states to deliver the Zebrocy tool as a payload .' [/INST] [The:O, Sofacy:S-APT, threat:O, group:O, continues:O, to:O, target:O, government:O, organizations:O, in:O, the:O, EU:S-LOC, ,:O, US:S-LOC, ,:O, and:O, former:O, Soviet:B-LOC, states:E-LOC, to:O, deliver:O, the:O, Zebrocy:S-MAL, tool:O, as:O, a:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In these attacks , the delivery documents used to install Zebrocy used remote templates , which increases the difficulty to analyze the attack as an active C2 server is needed to obtain the macro-enabled document .' [/INST] [In:O, these:O, attacks:O, ,:O, the:O, delivery:O, documents:O, used:O, to:O, install:O, Zebrocy:S-MAL, used:O, remote:O, templates:O, ,:O, which:O, increases:O, the:O, difficulty:O, to:O, analyze:O, the:O, attack:O, as:O, an:O, active:O, C2:S-TOOL, server:O, is:O, needed:O, to:O, obtain:O, the:O, macro-enabled: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 Sofacy group also leveraged the recent Lion Air disaster as a lure in one of these attacks , which continues to show a willingness to use current events in their social engineering themes .' [/INST] [The:O, Sofacy:S-APT, group:O, also:O, leveraged:O, the:O, recent:O, Lion:O, Air:O, disaster:O, as:O, a:O, lure:O, in:O, one:O, of:O, these:O, attacks:O, ,:O, which:O, continues:O, to:O, show:O, a:O, willingness:O, to:O, use:O, current:O, events:O, in:O, their:O, social:O, engineering:O, themes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Of note , we also discovered the Sofacy group using a very similar delivery document to deliver a new Trojan called Cannon .' [/INST] [Of:O, note:O, ,:O, we:O, also:O, discovered:O, the:O, Sofacy:S-APT, group:O, using:O, a:O, very:O, similar:O, delivery:O, document:O, to:O, deliver:O, a:O, new:O, Trojan:S-MAL, called:O, Cannon: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: 'Cannon uses SMTPS and POP3S as its C2 channel compared to Zebrocy that uses a more commonly observed HTTP or HTTPS based C2 .' [/INST] [Cannon:S-MAL, uses:O, SMTPS:S-PROT, and:O, POP3S:S-PROT, as:O, its:O, C2:S-TOOL, channel:O, compared:O, to:O, Zebrocy:S-MAL, that:O, uses:O, a:O, more:O, commonly:O, observed:O, HTTP:S-PROT, or:O, HTTPS:S-PROT, based:O, C2: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 is not a new tactic but may be more effective at evading detection as the external hosts involved are a legitimate email service provider .' [/INST] [This:O, is:O, not:O, a:O, new:O, tactic:O, but:O, may:O, be:O, more:O, effective:O, at:O, evading:O, detection:O, as:O, the:O, external:O, hosts:O, involved:O, are:O, a:O, legitimate:O, email:S-TOOL, service:O, provider:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Add the layer of encryption that the SMTPS and POP3S protocols provide to the legitimate web-based service and you have a very difficult C2 channel to block While Sofacy ’s campaign delivering Zebrocy and Cannon remains active , Palo Alto Networks customers are protected from this threat in the following ways :' [/INST] [Add:O, the:O, layer:O, of:O, encryption:O, that:O, the:O, SMTPS:S-PROT, and:O, POP3S:S-PROT, protocols:O, provide:O, to:O, the:O, legitimate:O, web-based:O, service:O, and:O, you:O, have:O, a:O, very:O, difficult:O, C2:S-TOOL, channel:O, to:O, block:O, While:O, Sofacy:S-APT, ’s:O, campaign:O, delivering:O, Zebrocy:S-MAL, and:O, Cannon:S-MAL, remains:O, active:O, ,:O, Palo:B-SECTEAM, Alto:I-SECTEAM, Networks:E-SECTEAM, customers:O, are:O, protected:O, from:O, this:O, threat:O, in:O, the:O, following:O, ways:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'AutoFocus customers can track these samples with the Zebrocy and Cannon WildFire detects the delivery documents , Zebrocy and Cannon payloads discussed in this blog with malicious verdicts .' [/INST] [AutoFocus:S-SECTEAM, customers:O, can:O, track:O, these:O, samples:O, with:O, the:O, Zebrocy:S-MAL, and:O, Cannon:S-MAL, WildFire:S-SECTEAM, detects:O, the:O, delivery:O, documents:O, ,:O, Zebrocy:S-MAL, and:O, Cannon:S-MAL, payloads:O, discussed:O, in:O, this:O, blog:O, with:O, malicious:O, verdicts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Traps blocks the macro-ladened remote templates as Suspicious macro detected , as well as Zebrocy and Cannon payloads as Suspicious executable detected .' [/INST] [Traps:O, blocks:O, the:O, macro-ladened:O, remote:O, templates:O, as:O, Suspicious:O, macro:S-TOOL, detected:O, ,:O, as:O, well:O, as:O, Zebrocy:S-MAL, and:O, Cannon:S-MAL, payloads:O, as:O, Suspicious:O, executable:O, detected:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 IP addresses hosting remote templates and C2 services in these attacks are classified as Command and Control .' [/INST] [The:O, IP:O, addresses:O, hosting:O, remote:O, templates:O, and:O, C2:S-TOOL, services:O, in:O, these:O, attacks:O, are:O, classified:O, as:O, Command:B-TOOL, and:I-TOOL, Control:E-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Delivery Hashes :' [/INST] [Delivery:O, Hashes:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '2cfc4b3686511f959f14889d26d3d9a0d06e27ee2bb54c9afb1ada6b8205c55f af77e845f1b0a3ae32cb5cfa53ff22cc9dae883f05200e18ad8e10d7a8106392 .' [/INST] [2cfc4b3686511f959f14889d26d3d9a0d06e27ee2bb54c9afb1ada6b8205c55f:S-SHA2, af77e845f1b0a3ae32cb5cfa53ff22cc9dae883f05200e18ad8e10d7a8106392:S-SHA2, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Remote Template Hashes :' [/INST] [Remote:B-TOOL, Template:E-TOOL, Hashes:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'f1e2bceae81ccd54777f7862c616f22b581b47e0dda5cb02d0a722168ef194a5 fc69fb278e12fc7f9c49a020eff9f84c58b71e680a9e18f78d4e6540693f557d .' [/INST] [f1e2bceae81ccd54777f7862c616f22b581b47e0dda5cb02d0a722168ef194a5:S-SHA2, fc69fb278e12fc7f9c49a020eff9f84c58b71e680a9e18f78d4e6540693f557d:S-SHA2, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Remote Templates :' [/INST] [Remote:B-TOOL, Templates:E-TOOL, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'http://188.241.58.170/live/owa/office.dotm .' [/INST] [http://188.241.58.170/live/owa/office.dotm:S-URL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Zebrocy Hashes :' [/INST] [Zebrocy:S-MAL, Hashes:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '6ad3eb8b5622145a70bec67b3d14868a1c13864864afd651fe70689c95b1399a .' [/INST] [6ad3eb8b5622145a70bec67b3d14868a1c13864864afd651fe70689c95b1399a:S-SHA2, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Zebrocy C2 URLs :' [/INST] [Zebrocy:S-MAL, C2:S-TOOL, URLs:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'http://188.241.58.170/local/s3/filters.php https://200.122.181.25/catalog/products/books.php .' [/INST] [http://188.241.58.170/local/s3/filters.php:S-URL, https://200.122.181.25/catalog/products/books.php:S-URL, .:O] </s> |