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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: 'Glimpse added the ability to use an alternate DNS resource record type (TXT) as opposed to solely relying on A resource records for DNS .' [/INST] [Glimpse:S-MAL, added:O, the:O, ability:O, to:O, use:O, an:O, alternate:O, DNS:PROT, resource:O, record:O, type:O, (TXT):O, as:O, opposed:O, to:O, solely:O, relying:O, on:O, A:O, resource:O, records:O, for:O, DNS: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 TXT resource records enabled the actors to provide tasking in fewer transactions due to the amount of data that can be transmitted in a TXT .' [/INST] [Using:O, TXT:O, resource:O, records:O, enabled:O, the:O, actors:O, to:O, provide:O, tasking:O, in:O, fewer:O, transactions:O, due:O, to:O, the:O, amount:O, of:O, data:O, that:O, can:O, be:O, transmitted:O, in:O, a:O, TXT:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 support this capability, the adversaries chose to manually craft the DNS queries and communicate directly with the controller as opposed to using existing .NET DNS .' [/INST] [To:O, support:O, this:O, capability,:O, the:O, adversaries:O, chose:O, to:O, manually:O, craft:O, the:O, DNS:PROT, queries:O, and:O, communicate:O, directly:O, with:O, the:O, controller:O, as:O, opposed:O, to:O, using:O, existing:O, .NET:S-FILE, DNS: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: 'The differences between PoisonFrog and Glimpse highlight the ease at which adversaries can modify their tools to meet their end .' [/INST] [The:O, differences:O, between:O, PoisonFrog:S-MAL, and:O, Glimpse:S-MAL, highlight:O, the:O, ease:O, at:O, which:O, adversaries:O, can:O, modify:O, their:O, tools:O, to:O, meet:O, their:O, end:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 regard to detection, several methods can be used to identify this type of C2 .' [/INST] [With:O, regard:O, to:O, detection,:O, several:O, methods:O, can:O, be:O, used:O, to:O, identify:O, this:O, type:O, of: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: 'Performing entropy calculations on subdomain labels can help highlight the amount of randomness in a label, but this is just one of many possible data analysis points, since a standalone feature may not be enough to determine whether traffic is .' [/INST] [Performing:O, entropy:O, calculations:O, on:O, subdomain:O, labels:O, can:O, help:O, highlight:O, the:O, amount:O, of:O, randomness:O, in:O, a:O, label,:O, but:O, this:O, is:O, just:O, one:O, of:O, many:O, possible:O, data:O, analysis:O, points,:O, since:O, a:O, standalone:O, feature:O, may:O, not:O, be:O, enough:O, to:O, determine:O, whether:O, traffic: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: 'The IronDefense Network Traffic Analysis platform combines several behavioral detection methods alongside historical network information to detect the C2 techniques used by Glimpse and other .' [/INST] [The:O, IronDefense:O, Network:O, Traffic:O, Analysis:O, platform:O, combines:O, several:O, behavioral:O, detection:O, methods:O, alongside:O, historical:O, network:O, information:O, to:O, detect:O, the:O, C2:S-TOOL, techniques:O, used:O, by:O, Glimpse:S-MAL, and:O, other:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Carbon Black TAU ThreatSight Analysis GandCrab and Ursnif .' [/INST] [Carbon:B-SECTEAM, Black:I-SECTEAM, TAU:I-SECTEAM, ThreatSight:E-SECTEAM, Analysis:O, GandCrab:S-MAL, and:O, Ursnif: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 Carbon Black ThreatSight team observed an interesting campaign over the last month .' [/INST] [The:O, Carbon:B-SECTEAM, Black:I-SECTEAM, ThreatSight:E-SECTEAM, team:O, observed:O, an:O, interesting:O, campaign:O, over:O, the:O, last:O, month:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ThreatSight worked with the Threat Analysis Unit ( TAU ) to research the campaign .' [/INST] [ThreatSight:S-SECTEAM, worked:O, with:O, the:O, Threat:B-IDTY, Analysis:I-IDTY, Unit:E-IDTY, (:O, TAU:S-IDTY, ):O, to:O, research:O, the: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: 'This report is being released to help researchers and security practitioners combat this campaign as new samples are being discovered in the wild daily .' [/INST] [This:O, report:O, is:O, being:O, released:O, to:O, help:O, researchers:O, and:O, security:O, practitioners:O, combat:O, this:O, campaign:O, as:O, new:O, samples:O, are:O, being:O, discovered:O, in:O, the:O, wild:O, daily:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attack , if successful , can infect a compromised system with both Ursnif malware and GandCrab ransomware .' [/INST] [This:O, attack:O, ,:O, if:O, successful:O, ,:O, can:O, infect:O, a:O, compromised:O, system:O, with:O, both:O, Ursnif:S-MAL, malware:O, and:O, GandCrab:S-MAL, ransomware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attack leverages several different approaches , which are popular techniques amongst red teamers , espionage focused adversaries , and large scale criminal campaigns .' [/INST] [The:O, overall:O, attack:O, leverages:O, several:O, different:O, approaches:O, ,:O, which:O, are:O, popular:O, techniques:O, amongst:O, red:O, teamers:O, ,:O, espionage:O, focused:O, adversaries:O, ,:O, and:O, large:O, scale:O, criminal: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: 'This campaign originally came in via phishing emails that contained an attached Word document with embedded macros , Carbon Black located roughly 180 variants in the wild .' [/INST] [This:O, campaign:O, originally:O, came:O, in:O, via:O, phishing:B-ACT, emails:E-ACT, that:O, contained:O, an:O, attached:O, Word:B-TOOL, document:E-TOOL, with:O, embedded:O, macros:O, ,:O, Carbon:B-SECTEAM, Black:E-SECTEAM, located:O, roughly:O, 180:O, variants:O, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 would call an encoded PowerShell script and then use a series of techniques to download and execute both a Ursnif and GandCrab variant .' [/INST] [The:O, macro:O, would:O, call:O, an:O, encoded:O, PowerShell:S-TOOL, script:O, and:O, then:O, use:O, a:O, series:O, of:O, techniques:O, to:O, download:O, and:O, execute:O, both:O, a:O, Ursnif:S-MAL, and:O, GandCrab:S-MAL, variant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 campaign has been discussed at a high level by other researchers publicly .' [/INST] [This:O, campaign:O, has:O, been:O, discussed:O, at:O, a:O, high:O, level:O, by:O, other:O, researchers:O, publicly:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Carbon Black product specific content can be located in the User Exchange .' [/INST] [Carbon:B-SECTEAM, Black:E-SECTEAM, product:O, specific:O, content:O, can:O, be:O, located:O, in:O, the:O, User:B-TOOL, Exchange: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: 'In this campaign the attackers used a MS Word document ( .doc format ) to deliver the initial stages .' [/INST] [In:O, this:O, campaign:O, the:O, attackers:O, used:O, a:O, MS:B-TOOL, Word:E-TOOL, document:O, (:O, .doc:S-FILE, format:O, ):O, to:O, deliver:O, the:O, initial:O, stages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 should be noted that out of the roughly 180 Word variants that were located by Carbon Black , the biggest difference in the documents was the metadata and junk data located in the malicious macros .' [/INST] [It:O, should:O, be:O, noted:O, that:O, out:O, of:O, the:O, roughly:O, 180:O, Word:S-TOOL, variants:O, that:O, were:O, located:O, by:O, Carbon:B-SECTEAM, Black:E-SECTEAM, ,:O, the:O, biggest:O, difference:O, in:O, the:O, documents:O, was:O, the:O, metadata:O, and:O, junk:O, data:O, located:O, in:O, the:O, malicious:O, macros:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However the metadata clearly showed that the documents prepared for this campaign were initially saved on December 17 , 2018 and have continued to be updated through January 21 , 2019 .' [/INST] [However:O, the:O, metadata:O, clearly:O, showed:O, that:O, the:O, documents:O, prepared:O, for:O, this:O, campaign:O, were:O, initially:O, saved:O, on:O, December:B-TIME, 17:I-TIME, ,:I-TIME, 2018:E-TIME, and:O, have:O, continued:O, to:O, be:O, updated:O, through:O, January:B-TIME, 21:I-TIME, ,:I-TIME, 2019:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Several metadata fields ( specifically title , subject , author , comments , manager , and company ) appear to have been populated with different data sets .' [/INST] [Several:O, metadata:O, fields:O, (:O, specifically:O, title:O, ,:O, subject:O, ,:O, author:O, ,:O, comments:O, ,:O, manager:O, ,:O, and:O, company:O, ):O, appear:O, to:O, have:O, been:O, populated:O, with:O, different:O, data:O, sets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For example the subject in all the samples was a combination of a US state and a common first name ( like Utah Erick or Tennessee Dayna ) .' [/INST] [For:O, example:O, the:O, subject:O, in:O, all:O, the:O, samples:O, was:O, a:O, combination:O, of:O, a:O, US:S-LOC, state:O, and:O, a:O, common:O, first:O, name:O, (:O, like:O, Utah:S-LOC, Erick:O, or:O, Tennessee:S-LOC, Dayna: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: 'For this post the following sample was analyzed .' [/INST] [For:O, this:O, post:O, the:O, following:O, sample:O, was: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: 'Richard_Johnson.doc : 878e4e8677e68aba918d930f2cc67fbe 0a3f915dd071e862046949885043b3ba61100b946cbc0d84ef7c44d77a50f080 .' [/INST] [Richard_Johnson.doc:S-FILE, ::O, 878e4e8677e68aba918d930f2cc67fbe:S-MD5, 0a3f915dd071e862046949885043b3ba61100b946cbc0d84ef7c44d77a50f080: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: 'The document contained a VBS macro that once decompressed was approximately 650 lines of code .' [/INST] [The:O, document:O, contained:O, a:O, VBS:B-TOOL, macro:E-TOOL, that:O, once:O, decompressed:O, was:O, approximately:O, 650:O, lines:O, of: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 vast majority of that was junk code .' [/INST] [The:O, vast:O, majority:O, of:O, that:O, was:O, junk: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: 'Once the junk code was removed from the VBScript , there are approximately 18 lines of relevant code , which ultimately call a shape box in the current document .' [/INST] [Once:O, the:O, junk:O, code:O, was:O, removed:O, from:O, the:O, VBScript:S-TOOL, ,:O, there:O, are:O, approximately:O, 18:O, lines:O, of:O, relevant:O, code:O, ,:O, which:O, ultimately:O, call:O, a:O, shape:O, box:O, in:O, the:O, current: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 variable names themselves are not relevant , however the methods in bold below will retrieve the AlternativeText field from the specified shape , which is then executed .' [/INST] [The:O, variable:O, names:O, themselves:O, are:O, not:O, relevant:O, ,:O, however:O, the:O, methods:O, in:O, bold:O, below:O, will:O, retrieve:O, the:O, AlternativeText:S-TOOL, field:O, from:O, the:O, specified:O, shape:O, ,:O, which:O, is:O, then: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 alternate text can easily be observed in the body of the office document .' [/INST] [The:O, alternate:O, text:O, can:O, easily:O, be:O, observed:O, in:O, the:O, body:O, of:O, the:O, office: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 area highlighted in blue is the shape name that is being located , while the text itself is highlighted in red .' [/INST] [The:O, area:O, highlighted:O, in:O, blue:O, is:O, the:O, shape:O, name:O, that:O, is:O, being:O, located:O, ,:O, while:O, the:O, text:O, itself:O, is:O, highlighted:O, in:O, red:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 clear that the text is a base64 encoded command , that is then executed by the above VBScript .' [/INST] [It:O, is:O, clear:O, that:O, the:O, text:O, is:O, a:O, base64:S-ENCR, encoded:O, command:O, ,:O, that:O, is:O, then:O, executed:O, by:O, the:O, above:O, VBScript: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 PowerShell script will first create an instance of the .Net Webclient class and then enumerate the available methods using the GetMethods() call ( highlighted in the image in red ) .' [/INST] [The:O, PowerShell:S-TOOL, script:O, will:O, first:O, create:O, an:O, instance:O, of:O, the:O, .Net:S-FILE, Webclient:O, class:O, and:O, then:O, enumerate:O, the:O, available:O, methods:O, using:O, the:O, GetMethods():S-TOOL, call:O, (:O, highlighted:O, in:O, the:O, image:O, in:O, red:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The enumerated methods are stored , then a for loop looks first for the method named DownloadString ( highlighted in blue ) .' [/INST] [The:O, enumerated:O, methods:O, are:O, stored:O, ,:O, then:O, a:O, for:O, loop:O, looks:O, first:O, for:O, the:O, method:O, named:O, DownloadString:S-TOOL, (:O, highlighted:O, in:O, blue: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: 'If the DownloadString method is located it will contact the hard coded C2 requesting a file , which is downloaded and then invoked ( highlighted in blue ) .' [/INST] [If:O, the:O, DownloadString:S-TOOL, method:O, is:O, located:O, it:O, will:O, contact:O, the:O, hard:O, coded:O, C2:S-TOOL, requesting:O, a:O, file:O, ,:O, which:O, is:O, downloaded:O, and:O, then:O, invoked:O, (:O, highlighted:O, in:O, blue: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: 'It should be noted that because the requested resource is being stored as a string and executed , this all occurs in memory .' [/INST] [It:O, should:O, be:O, noted:O, that:O, because:O, the:O, requested:O, resource:O, is:O, being:O, stored:O, as:O, a:O, string:O, and:O, executed:O, ,:O, this:O, all:O, occurs:O, in:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Additional Analysis of the downloaded string is provided in the Gandcrab cradle section below .' [/INST] [Additional:O, Analysis:O, of:O, the:O, downloaded:O, string:O, is:O, provided:O, in:O, the:O, Gandcrab:S-MAL, cradle:O, section:O, below:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The loop then looks for the method name DownloadData , and if located will download a resource from a second C2 .' [/INST] [The:O, loop:O, then:O, looks:O, for:O, the:O, method:O, name:O, DownloadData:S-TOOL, ,:O, and:O, if:O, located:O, will:O, download:O, a:O, resource:O, from:O, a:O, second: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 request is then stored in the CommonApplicationData directory ( C:\ProgramData in Vista and later ) as the hard coded file name ( highlighted in green ) .' [/INST] [This:O, request:O, is:O, then:O, stored:O, in:O, the:O, CommonApplicationData:O, directory:O, (:O, C:\ProgramData:O, in:O, Vista:O, and:O, later:O, ):O, as:O, the:O, hard:O, coded:O, file:O, name:O, (:O, highlighted:O, in:O, green:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The script will utilize the hard coded DCOM object C08AFD90-F2A1-11D1-8455-00A0C91F3880 , which is the ClassID for the ShellBrowserWindow .' [/INST] [The:O, script:O, will:O, utilize:O, the:O, hard:O, coded:O, DCOM:S-TOOL, object:O, C08AFD90-F2A1-11D1-8455-00A0C91F3880:O, ,:O, which:O, is:O, the:O, ClassID:O, for:O, the:O, ShellBrowserWindow: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 previous blog post by enigma0x3 , detailed how this CLSID can be leveraged to instantiate the ShellBrowserWindow object and call the ShellExecute method , which is the same approach that was taken by the attackers .' [/INST] [A:O, previous:O, blog:O, post:O, by:O, enigma0x3:O, ,:O, detailed:O, how:O, this:O, CLSID:O, can:O, be:O, leveraged:O, to:O, instantiate:O, the:O, ShellBrowserWindow:S-TOOL, object:O, and:O, call:O, the:O, ShellExecute:S-TOOL, method:O, ,:O, which:O, is:O, the:O, same:O, approach:O, that:O, was:O, taken:O, by:O, the:O, attackers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This approach has also been used in different Empire modules .' [/INST] [This:O, approach:O, has:O, also:O, been:O, used:O, in:O, different:O, Empire:S-TOOL, modules:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 payloads that are downloaded in the above steps are then executed on the system .' [/INST] [The:O, payloads:O, that:O, are:O, downloaded:O, in:O, the:O, above:O, steps:O, are:O, then:O, executed: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: 'The first payload that is downloaded via the DownloadString method highlighted above , is a PowerShell one-liner that uses an IF statement to evaluate the architecture of the compromised system , and then downloads a additional payload from pastebin.com .' [/INST] [The:O, first:O, payload:O, that:O, is:O, downloaded:O, via:O, the:O, DownloadString:S-TOOL, method:O, highlighted:O, above:O, ,:O, is:O, a:O, PowerShell:S-TOOL, one-liner:O, that:O, uses:O, an:O, IF:O, statement:O, to:O, evaluate:O, the:O, architecture:O, of:O, the:O, compromised:O, system:O, ,:O, and:O, then:O, downloads:O, a:O, additional:O, payload:O, from:O, pastebin.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This additional payload is then executed in memory .' [/INST] [This:O, additional:O, payload:O, is:O, then:O, executed:O, in:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The image below depicts the contents of the o402ek2m.php file .' [/INST] [The:O, image:O, below:O, depicts:O, the:O, contents:O, of:O, the:O, o402ek2m.php: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: 'It should be noted that the contents of o402ek2m.php were updated by the attackers to reference different pastebin uploads throughout this campaign .' [/INST] [It:O, should:O, be:O, noted:O, that:O, the:O, contents:O, of:O, o402ek2m.php:S-FILE, were:O, updated:O, by:O, the:O, attackers:O, to:O, reference:O, different:O, pastebin:O, uploads:O, throughout:O, this: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: 'Also updated was the function name that is invoked , in the example below it was CJOJFNUWNQKRTLLTMCVDCKFGG , however this was dynamically changed to match the name of the function that would be present in pastebin file that was being downloaded .' [/INST] [Also:O, updated:O, was:O, the:O, function:O, name:O, that:O, is:O, invoked:O, ,:O, in:O, the:O, example:O, below:O, it:O, was:O, CJOJFNUWNQKRTLLTMCVDCKFGG:O, ,:O, however:O, this:O, was:O, dynamically:O, changed:O, to:O, match:O, the:O, name:O, of:O, the:O, function:O, that:O, would:O, be:O, present:O, in:O, pastebin:O, file:O, that:O, was:O, being:O, downloaded:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 raw contents of the pastebin.com post were downloaded , that data would also be executed in memory .' [/INST] [Once:O, the:O, raw:O, contents:O, of:O, the:O, pastebin.com:S-DOM, post:O, were:O, downloaded:O, ,:O, that:O, data:O, would:O, also:O, be:O, executed:O, in:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the variants that were obtained during this campaign the file contained a PowerShell script that was approximately 2800 lines .' [/INST] [In:O, the:O, variants:O, that:O, were:O, obtained:O, during:O, this:O, campaign:O, the:O, file:O, contained:O, a:O, PowerShell:S-TOOL, script:O, that:O, was:O, approximately:O, 2800:O, lines:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 PowerShell script is a version of the Empire Invoke-PSInject module , with very few modifications .' [/INST] [This:O, PowerShell:S-TOOL, script:O, is:O, a:O, version:O, of:O, the:O, Empire:B-TOOL, Invoke-PSInject:E-TOOL, module:O, ,:O, with:O, very:O, few:O, modifications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 majority if the modifications are of removing comments and renaming variables .' [/INST] [The:O, majority:O, if:O, the:O, modifications:O, are:O, of:O, removing:O, comments:O, and:O, renaming:O, variables:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 script will take an embedded PE file that has been base64 encoded and inject that into the current PowerShell process .' [/INST] [The:O, script:O, will:O, take:O, an:O, embedded:O, PE:S-TOOL, file:O, that:O, has:O, been:O, base64:S-ENCR, encoded:O, and:O, inject:O, that:O, into:O, the:O, current:O, PowerShell:S-TOOL, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The image below is the main function that is being called which in turns calls the function responsible for injecting the embedded PE file .' [/INST] [The:O, image:O, below:O, is:O, the:O, main:O, function:O, that:O, is:O, being:O, called:O, which:O, in:O, turns:O, calls:O, the:O, function:O, responsible:O, for:O, injecting:O, the:O, embedded:B-TOOL, PE:I-TOOL, file:E-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The base64 encoded PE file that can be seen in line 2760 of the image above is a GandCrab Variant .' [/INST] [The:O, base64:S-ENCR, encoded:O, PE:S-TOOL, file:O, that:O, can:O, be:O, seen:O, in:O, line:O, 2760:O, of:O, the:O, image:O, above:O, is:O, a:O, GandCrab:S-MAL, Variant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ( the metadata for which is listed below ) is Gandcrab version .' [/INST] [This:O, variant:O, (:O, the:O, metadata:O, for:O, which:O, is:O, listed:O, below:O, ):O, is:O, Gandcrab:S-MAL, version:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'krab5.dll : 0f270db9ab9361e20058b8c6129bf30e d6c53d9341dda1252ada3861898840be4d669abae2b983ab9bf5259b84de7525 , Mon Oct 29 17:39:23 2018 UTC . krab5.text : 019bc7edf8c2896754fdbdbc2ddae4ec . krab5.rdata : d6ed79624f7af19ba90f51379b7f31e4 . krab5.data : 1ec7b57b01d0c46b628a991555fc90f0 . krab5.rsrc : 89b7e19270b2a5563c301b84b28e423f . krab5.reloc : 685c3c775f65bffceccc1598ff7c2e59 .' [/INST] [krab5.dll:S-FILE, ::O, 0f270db9ab9361e20058b8c6129bf30e:S-MD5, d6c53d9341dda1252ada3861898840be4d669abae2b983ab9bf5259b84de7525:S-SHA2, ,:O, Mon:B-TIME, Oct:I-TIME, 29:I-TIME, 17:39:23:I-TIME, 2018:E-TIME, UTC:O, .:O, krab5.text:S-FILE, ::O, 019bc7edf8c2896754fdbdbc2ddae4ec:S-MD5, .:O, krab5.rdata:S-FILE, ::O, d6ed79624f7af19ba90f51379b7f31e4:S-MD5, .:O, krab5.data:S-FILE, ::O, 1ec7b57b01d0c46b628a991555fc90f0:S-MD5, .:O, krab5.rsrc:S-FILE, ::O, 89b7e19270b2a5563c301b84b28e423f:S-MD5, .:O, krab5.reloc:S-FILE, ::O, 685c3c775f65bffceccc1598ff7c2e59:S-MD5, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The second payload , downloaded via the DownloadData method , is a Ursnif executable .' [/INST] [The:O, second:O, payload:O, ,:O, downloaded:O, via:O, the:O, DownloadData:S-TOOL, method:O, ,:O, is:O, a:O, Ursnif:S-MAL, executable:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this instance it is saved to the C:\ProgramData directory with a pseudo random name .' [/INST] [In:O, this:O, instance:O, it:O, is:O, saved:O, to:O, the:O, C:\ProgramData:O, directory:O, with:O, a:O, pseudo:O, random: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: 'It should be noted that the file name was changed throughout this campaign .' [/INST] [It:O, should:O, be:O, noted:O, that:O, the:O, file:O, name:O, was:O, changed:O, throughout:O, this: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: 'Once executed the Ursnif sample will conduct the typical actions observed in Ursnif samples , like credential harvesting , gathering system and process information , and deploying additional malware samples .' [/INST] [Once:O, executed:O, the:O, Ursnif:S-MAL, sample:O, will:O, conduct:O, the:O, typical:O, actions:O, observed:O, in:O, Ursnif:S-MAL, samples:O, ,:O, like:O, credential:O, harvesting:O, ,:O, gathering:O, system:O, and:O, process:O, information:O, ,:O, and:O, deploying:O, additional:O, malware:O, 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: 'The information for this specific sample is listed below .' [/INST] [The:O, information:O, for:O, this:O, specific:O, sample:O, is:O, listed:O, below:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , numerous Ursnif variants were hosted on the bevendbrec.com site during this campaign .' [/INST] [However:O, ,:O, numerous:O, Ursnif:S-MAL, variants:O, were:O, hosted:O, on:O, the:O, bevendbrec.com:S-DOM, site:O, during:O, this: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: 'Carbon Black was able to discover approximately 120 different Ursnif variants that were being hosted from the domains iscondisth.com and bevendbrec.com . irongreen.exe : 404d25e3a18bda19a238f77270837198 c064f6f047a4e39014a29c8c95526c3fe90d7bcea5ef0b8f21ea306c27713d1f , Sun Dec 18 11:04:31 2011 UTC . irongreen.text : 85aa9117c381eae3d181ab63daab335e . irongreen.rdata : 3e1c774bc4e0ffc2271075e621aa3f3d . irongreen.data : 6c389e5e301564f65dcad4811dbded8b . irongreen.rsrc : efba623cc62ffd0ccbf7f3fbf6264905 . irongreen.reloc : 6cf46599a57a6cbc5d18fbb2883620ce .' [/INST] [Carbon:B-SECTEAM, Black:E-SECTEAM, was:O, able:O, to:O, discover:O, approximately:O, 120:O, different:O, Ursnif:S-MAL, variants:O, that:O, were:O, being:O, hosted:O, from:O, the:O, domains:O, iscondisth.com:S-DOM, and:O, bevendbrec.com:S-DOM, .:O, irongreen.exe:S-FILE, ::O, 404d25e3a18bda19a238f77270837198:S-MD5, c064f6f047a4e39014a29c8c95526c3fe90d7bcea5ef0b8f21ea306c27713d1f:S-SHA2, ,:O, Sun:B-TIME, Dec:I-TIME, 18:I-TIME, 11:04:31:I-TIME, 2011:E-TIME, UTC:O, .:O, irongreen.text:S-FILE, ::O, 85aa9117c381eae3d181ab63daab335e:S-MD5, .:O, irongreen.rdata:S-FILE, ::O, 3e1c774bc4e0ffc2271075e621aa3f3d:S-MD5, .:O, irongreen.data:S-FILE, ::O, 6c389e5e301564f65dcad4811dbded8b:S-MD5, .:O, irongreen.rsrc:S-FILE, ::O, efba623cc62ffd0ccbf7f3fbf6264905:S-MD5, .:O, irongreen.reloc:S-FILE, ::O, 6cf46599a57a6cbc5d18fbb2883620ce:S-MD5, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While researching this campaign approximately 180 variants were located in the wild .' [/INST] [While:O, researching:O, this:O, campaign:O, approximately:O, 180:O, variants:O, were:O, located:O, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the VirusTotal Graph functionality these variants could be organized into several groups that were commonly associated by either metadata or document structures like macros or embedded image files ( depicted in the image below ) .' [/INST] [Using:O, the:O, VirusTotal:B-TOOL, Graph:E-TOOL, functionality:O, these:O, variants:O, could:O, be:O, organized:O, into:O, several:O, groups:O, that:O, were:O, commonly:O, associated:O, by:O, either:O, metadata:O, or:O, document:O, structures:O, like:O, macros:O, or:O, embedded:O, image:O, files:O, (:O, depicted:O, in:O, the:O, image:O, below:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The image below highlights the nodes associated with the samples analyzed in this report .' [/INST] [The:O, image:O, below:O, highlights:O, the:O, nodes:O, associated:O, with:O, the:O, samples:O, analyzed:O, in:O, this:O, report:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 graph can also be viewed in the VTGraph Console for additional exploration .' [/INST] [The:O, graph:O, can:O, also:O, be:O, viewed:O, in:O, the:O, VTGraph:B-TOOL, Console:E-TOOL, for:O, additional:O, exploration:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 graph highlights the at least 3 different variants of Ursnif that were being hosted on the bevendbrec.com site .' [/INST] [The:O, graph:O, highlights:O, the:O, at:O, least:O, 3:O, different:O, variants:O, of:O, Ursnif:S-MAL, that:O, were:O, being:O, hosted:O, on:O, the:O, bevendbrec.com:S-DOM, site:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Ursnif variants were primarily grouped by C2 infrastructure .' [/INST] [The:O, Ursnif:S-MAL, variants:O, were:O, primarily:O, grouped:O, by:O, C2:S-TOOL, infrastructure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The large grouping on the right of the diagram are direct variants of the sample referenced in this write up .' [/INST] [The:O, large:O, grouping:O, on:O, the:O, right:O, of:O, the:O, diagram:O, are:O, direct:O, variants:O, of:O, the:O, sample:O, referenced:O, in:O, this:O, write:O, up:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Samples in this grouping were all hosted on sites that were called by the second stage .' [/INST] [Samples:O, in:O, this:O, grouping:O, were:O, all:O, hosted:O, on:O, sites:O, that:O, were:O, called:O, by:O, the:O, second:O, stage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 samples had minor changes , and were presumably changed by the attackers to avoid detection by hash .' [/INST] [The:O, samples:O, had:O, minor:O, changes:O, ,:O, and:O, were:O, presumably:O, changed:O, by:O, the:O, attackers:O, to:O, avoid:O, detection:O, by:O, hash:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Word Dropper Variant cc5a14ff026ee593d7d25f213715b73833e6b9cf71091317121a009d5ad7fc36 7ce3d9fc86396fac9865607594395e94 Word Dropper Variant 28a8d6b8a0cdcb25d098e403cc8b6dcb855cb591f0b54c2e3363b5c580d92b28 74c7aed44680100e984251ce2cdbdbc6 Word Dropper Variant facbc2cb089668197ca3968a3433b6f4826430c13f7d1c75b44667307c67dfe3 10f308d78adda567d4589803ce18cc9b Word Dropper Variant e714a5147335245c386b105bb7494a8b190b6a737ba28f029561efe48105cd11 f279d0f04874327b85221697d99de321 Word Dropper Variant 56c46ef3d5bd544fa35f6e336d3be93cf36e72d0273fa1dbc915979f2d883e9d bc1b322e7efc19417ab0d0524ccb9ff2 .' [/INST] [Word:B-MAL, Dropper:E-MAL, Variant:O, cc5a14ff026ee593d7d25f213715b73833e6b9cf71091317121a009d5ad7fc36:S-SHA2, 7ce3d9fc86396fac9865607594395e94:S-MD5, Word:B-MAL, Dropper:E-MAL, Variant:O, 28a8d6b8a0cdcb25d098e403cc8b6dcb855cb591f0b54c2e3363b5c580d92b28:S-SHA2, 74c7aed44680100e984251ce2cdbdbc6:S-MD5, Word:B-MAL, Dropper:E-MAL, Variant:O, facbc2cb089668197ca3968a3433b6f4826430c13f7d1c75b44667307c67dfe3:S-SHA2, 10f308d78adda567d4589803ce18cc9b:S-MD5, Word:B-MAL, Dropper:E-MAL, Variant:O, e714a5147335245c386b105bb7494a8b190b6a737ba28f029561efe48105cd11:S-SHA2, f279d0f04874327b85221697d99de321:S-MD5, Word:B-MAL, Dropper:E-MAL, Variant:O, 56c46ef3d5bd544fa35f6e336d3be93cf36e72d0273fa1dbc915979f2d883e9d:S-SHA2, bc1b322e7efc19417ab0d0524ccb9ff2:S-MD5, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ursnif Variant 446ffd272c79554a19b5f4299327fb74b8ff457681d10571caa6eea51ec406b0 ea7e1650031c92b7377788f05926034e Ursnif Variant 42636f3185c9e398958aad272d983c8b8b1409df4ce93f1f8f608e190290f56d 377cd85d8d68fc58976a123aa151c5e0 Ursnif Variant 24b2141c1134ef14f33a38c58342b6573940c5460d03a2945fafac36e32e6889 b73cbffea8094cfa18b067d9568c53e7 Ursnif Variant e53b0a60c238c45019089bdf7f16d5f47b7ba15ca2c918e385c41f0c2076eb52 24fe5a6196e32749cd030ab51824cabe Ursnif Variant 4c8de1713f830819e8354b653fd19a5cafd0bc8fa3145eedf555f24261c874de 589734cb60aa515599c687539c520049 .' [/INST] [Ursnif:S-MAL, Variant:O, 446ffd272c79554a19b5f4299327fb74b8ff457681d10571caa6eea51ec406b0:S-SHA2, ea7e1650031c92b7377788f05926034e:S-MD5, Ursnif:S-MAL, Variant:O, 42636f3185c9e398958aad272d983c8b8b1409df4ce93f1f8f608e190290f56d:S-SHA2, 377cd85d8d68fc58976a123aa151c5e0:S-MD5, Ursnif:S-MAL, Variant:O, 24b2141c1134ef14f33a38c58342b6573940c5460d03a2945fafac36e32e6889:S-SHA2, b73cbffea8094cfa18b067d9568c53e7:S-MD5, Ursnif:S-MAL, Variant:O, e53b0a60c238c45019089bdf7f16d5f47b7ba15ca2c918e385c41f0c2076eb52:S-SHA2, 24fe5a6196e32749cd030ab51824cabe:S-MD5, Ursnif:S-MAL, Variant:O, 4c8de1713f830819e8354b653fd19a5cafd0bc8fa3145eedf555f24261c874de:S-SHA2, 589734cb60aa515599c687539c520049:S-MD5, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'GandCrab Variant d6c53d9341dda1252ada3861898840be4d669abae2b983ab9bf5259b84de7525 ce1ee671fe5246a9c40b624ef97e4de1 GandCrab Variant aca0b96126c813b0d29d6fbff9175f8ca62ff2ec6eed83bff76a73ae717cfcb8 07f955796a252771861c8e0db06b1f01 GandCrab Variant 8cd45f8c8f2ed0109db6a64f9945f3dcb8a780f65c76aedded7b8af95e6dc7ec 4fcd0d13ea669a83a749ae5bfb098ca2 GandCrab Variant 933210a9d19b25e0711ae88eece1ba06bb035a01ab2880cc707ff55bdd3b8dd0 8ec87fd3ea777fa8d5160dc957e6683e GandCrab Variant e564e87958b3e76bc9bfeb5bed773b7a17f3a82f84872acdbb609aa43a9cd776 c7d5077960882259b85c01fd41c49ffd .' [/INST] [GandCrab:S-MAL, Variant:O, d6c53d9341dda1252ada3861898840be4d669abae2b983ab9bf5259b84de7525:S-SHA2, ce1ee671fe5246a9c40b624ef97e4de1:S-MD5, GandCrab:S-MAL, Variant:O, aca0b96126c813b0d29d6fbff9175f8ca62ff2ec6eed83bff76a73ae717cfcb8:S-SHA2, 07f955796a252771861c8e0db06b1f01:S-MD5, GandCrab:S-MAL, Variant:O, 8cd45f8c8f2ed0109db6a64f9945f3dcb8a780f65c76aedded7b8af95e6dc7ec:S-SHA2, 4fcd0d13ea669a83a749ae5bfb098ca2:S-MD5, GandCrab:S-MAL, Variant:O, 933210a9d19b25e0711ae88eece1ba06bb035a01ab2880cc707ff55bdd3b8dd0:S-SHA2, 8ec87fd3ea777fa8d5160dc957e6683e:S-MD5, GandCrab:S-MAL, Variant:O, e564e87958b3e76bc9bfeb5bed773b7a17f3a82f84872acdbb609aa43a9cd776:S-SHA2, c7d5077960882259b85c01fd41c49ffd:S-MD5, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Chafer used Remexi malware to spy on Iran-based foreign diplomatic entities Throughout the autumn of 2018 we analyzed a long-standing (and still active at that time) cyber-espionage campaign that was primarily targeting foreign diplomatic entities based in Iran .' [/INST] [Chafer:S-APT, used:O, Remexi:S-MAL, malware:O, to:O, spy:O, on:O, Iran-based:O, foreign:O, diplomatic:O, entities:O, Throughout:O, the:O, autumn:O, of:O, 2018:O, we:O, analyzed:O, a:O, long-standing:O, (and:O, still:O, active:O, at:O, that:O, time):O, cyber-espionage:O, campaign:O, that:O, was:O, primarily:O, targeting:O, foreign:O, diplomatic:O, entities:O, based:O, in:O, Iran:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attackers were using an improved version of Remexi in what the victimology suggests might be a domestic cyber-espionage .' [/INST] [The:O, attackers:O, were:O, using:O, an:O, improved:O, version:O, of:O, Remexi:S-MAL, in:O, what:O, the:O, victimology:O, suggests:O, might:O, be:O, a:O, domestic:O, cyber-espionage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This malware has previously been associated with an APT actor that Symantec calls Chafer .' [/INST] [This:O, malware:O, has:O, previously:O, been:O, associated:O, with:O, an:O, APT:O, actor:O, that:O, Symantec:S-IDTY, calls:O, Chafer:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware can exfiltrate keystrokes, screenshots, browser-related data like cookies and history, decrypted when .' [/INST] [The:O, malware:O, can:O, exfiltrate:O, keystrokes,:O, screenshots,:O, browser-related:O, data:O, like:O, cookies:O, and:O, history,:O, decrypted:O, when:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attackers rely heavily on Microsoft technologies on both the client and server sides: the Trojan uses standard Windows utilities like Microsoft Background Intelligent Transfer Service (BITS ) bitsadmin.exe to receive commands and exfiltrate .' [/INST] [The:O, attackers:O, rely:O, heavily:O, on:O, Microsoft:S-IDTY, technologies:O, on:O, both:O, the:O, client:O, and:O, server:O, sides::O, the:O, Trojan:S-TOOL, uses:O, standard:O, Windows:S-OS, utilities:O, like:O, Microsoft:B-TOOL, Background:I-TOOL, Intelligent:I-TOOL, Transfer:I-TOOL, Service:E-TOOL, (BITS:S-TOOL, ):O, bitsadmin.exe:S-FILE, to:O, receive:O, commands:O, and:O, exfiltrate:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Its C2 is based on IIS using .asp technology to handle the victims’ HTTP .' [/INST] [Its:O, C2:S-TOOL, is:O, based:O, on:O, IIS:S-TOOL, using:O, .asp:S-FILE, technology:O, to:O, handle:O, the:O, victims’:O, HTTP:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Remexi developers use the C programming language and GCC compiler on Windows in the MinGW .' [/INST] [Remexi:S-MAL, developers:O, use:O, the:O, C:S-TOOL, programming:O, language:O, and:O, GCC:S-TOOL, compiler:O, on:O, Windows:S-OS, in:O, the:O, MinGW: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: 'They most likely used the Qt Creator IDE in a Windows .' [/INST] [They:O, most:O, likely:O, used:O, the:O, Qt:B-TOOL, Creator:I-TOOL, IDE:E-TOOL, in:O, a:O, Windows:S-OS, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware utilizes several persistence mechanisms including scheduled tasks, Userinit and Run registry keys in the HKLM .' [/INST] [The:O, malware:O, utilizes:O, several:O, persistence:O, mechanisms:O, including:O, scheduled:O, tasks,:O, Userinit:O, and:O, Run:O, registry:O, keys:O, in:O, the:O, HKLM: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: 'XOR and RC4 encryption is used with quite long unique keys for different .' [/INST] [XOR:S-ENCR, and:O, RC4:S-ENCR, encryption:O, is:O, used:O, with:O, quite:O, long:O, unique:O, keys:O, for:O, different:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Among all these random keys once the word “salamati” was also used, which means “health” in Farsi .' [/INST] [Among:O, all:O, these:O, random:O, keys:O, once:O, the:O, word:O, “salamati”:O, was:O, also:O, used,:O, which:O, means:O, “health”:O, in:O, Farsi:S-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Kaspersky Lab products detect the malware described in this report as Trojan.Win32.Remexi and Trojan.Win32.Agent .' [/INST] [Kaspersky:B-SECTEAM, Lab:E-SECTEAM, products:O, detect:O, the:O, malware:O, described:O, in:O, this:O, report:O, as:O, Trojan.Win32.Remexi:S-FILE, and:O, Trojan.Win32.Agent:S-FILE, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This blogpost is based in our original report shared with our APT Intelligence Reporting customers last November 2018 .' [/INST] [This:O, blogpost:O, is:O, based:O, in:O, our:O, original:O, report:O, shared:O, with:O, our:O, APT:O, Intelligence:O, Reporting:O, customers:O, last:B-TIME, November:I-TIME, 2018:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The main tool used in this campaign is an updated version of the Remexi malware, publicly reported by Symantec back in 2015 .' [/INST] [The:O, main:O, tool:O, used:O, in:O, this:O, campaign:O, is:O, an:O, updated:O, version:O, of:O, the:O, Remexi:S-MAL, malware,:O, publicly:O, reported:O, by:O, Symantec:S-IDTY, back:O, in:O, 2015:S-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The newest module’s compilation timestamp is March 2018 .' [/INST] [The:O, newest:O, module’s:O, compilation:O, timestamp:O, is:O, March:B-TIME, 2018:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The developers used GCC compiler on Windows in the MinGW .' [/INST] [The:O, developers:O, used:O, GCC:S-TOOL, compiler:O, on:O, Windows:S-OS, in:O, the:O, MinGW: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: 'Inside the binaries the compiler left references to the names of the C source file modules used: operation_reg.c , thread_command.c and thread_upload.c .' [/INST] [Inside:O, the:O, binaries:O, the:O, compiler:O, left:O, references:O, to:O, the:O, names:O, of:O, the:O, C:S-TOOL, source:O, file:O, modules:O, used::O, operation_reg.c:S-FILE, ,:O, thread_command.c:S-FILE, and:O, thread_upload.c: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: 'Like mentioned in modules file names the malware consists of several working threads dedicated to different tasks, including C2 command parsing and data .' [/INST] [Like:O, mentioned:O, in:O, modules:O, file:O, names:O, the:O, malware:O, consists:O, of:O, several:O, working:O, threads:O, dedicated:O, to:O, different:O, tasks,:O, including:O, C2:S-TOOL, command:O, parsing: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: 'For both the receiving of C2 commands and exfiltration, Remexi uses the Microsoft Background Intelligent Transfer Service (BITS ) mechanism to communicate with the C2 over .' [/INST] [For:O, both:O, the:O, receiving:O, of:O, C2:S-TOOL, commands:O, and:O, exfiltration,:O, Remexi:S-MAL, uses:O, the:O, Microsoft:B-TOOL, Background:I-TOOL, Intelligent:I-TOOL, Transfer:I-TOOL, Service:E-TOOL, (BITS:S-TOOL, ):O, mechanism:O, to:O, communicate:O, with:O, the:O, C2:S-TOOL, over:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'So far, our telemetry hasn’t provided any concrete evidence that shows us how the Remexi malware .' [/INST] [So:O, far,:O, our:O, telemetry:O, hasn’t:O, provided:O, any:O, concrete:O, evidence:O, that:O, shows:O, us:O, how:O, the:O, Remexi:S-MAL, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However, we think it’s worth mentioning that for one victim we found a correlation between the execution of Remexi´s main module and the execution of an AutoIt script compiled as PE , which we believe may have dropped the .' [/INST] [However,:O, we:O, think:O, it’s:O, worth:O, mentioning:O, that:O, for:O, one:O, victim:O, we:O, found:O, a:O, correlation:O, between:O, the:O, execution:O, of:O, Remexi´s:O, main:O, module:O, and:O, the:O, execution:O, of:O, an:O, AutoIt:S-TOOL, script:O, compiled:O, as:O, PE:S-TOOL, ,:O, which:O, we:O, believe:O, may:O, have:O, dropped:O, the:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 dropper used an FTP with hardcoded credentials to receive its .' [/INST] [This:O, dropper:O, used:O, an:O, FTP:O, with:O, hardcoded:O, credentials:O, to:O, receive:O, its:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FTP server was not accessible any more at the time of our .' [/INST] [FTP:O, server:O, was:O, not:O, accessible:O, any:O, more:O, at:O, the:O, time:O, of:O, our:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Remexi boasts features that allow it to gather keystrokes, take screenshots of Windows of interest (as defined in its configuration), steal credentials, logons and the browser history, and execute remote .' [/INST] [Remexi:S-MAL, boasts:O, features:O, that:O, allow:O, it:O, to:O, gather:O, keystrokes,:O, take:O, screenshots:O, of:O, Windows:S-OS, of:O, interest:O, (as:O, defined:O, in:O, its:O, configuration),:O, steal:O, credentials,:O, logons:O, and:O, the:O, browser:O, history,:O, and:O, execute:O, remote:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Encryption consists of XOR with a hardcoded key for its configuration and RC4 with a predefined password for encrypting the victim’s .' [/INST] [Encryption:O, consists:O, of:O, XOR:S-ENCR, with:O, a:O, hardcoded:O, key:O, for:O, its:O, configuration:O, and:O, RC4:S-ENCR, with:O, a:O, predefined:O, password:O, for:O, encrypting:O, the:O, victim’s:O, .:O] </s> |