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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: 'A university class student list including the C & C domain registrant Due to poor privacy practices on the part of our culprit ’ s university , we now know his date of birth ( probably : he seemingly used his birth year as part of his Gmail address , as further partial confirmation ) , we know that he was a student and what university he attended .' [/INST] [A:O, university:O, class:O, student:O, list:O, including:O, the:O, C:O, &:O, C:O, domain:O, registrant:O, Due:O, to:O, poor:O, privacy:O, practices:O, on:O, the:O, part:O, of:O, our:O, culprit:O, ’:O, s:O, university:O, ,:O, we:O, now:O, know:O, his:O, date:O, of:O, birth:O, (:O, probably:O, ::O, he:O, seemingly:O, used:O, his:O, birth:O, year:O, as:O, part:O, of:O, his:O, Gmail:B-System, address:O, ,:O, as:O, further:O, partial:O, confirmation:O, ):O, ,:O, we:O, know:O, that:O, he:O, was:O, a:O, student:O, and:O, what:O, university:O, he:O, attended:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 also able to confirm that the phone number he provided to the domain registrar was genuine .' [/INST] [We:O, were:O, also:O, able:O, to:O, confirm:O, that:O, the:O, phone:O, number:O, he:O, provided:O, to:O, the:O, domain:O, registrar:O, was:O, genuine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Moreover , we retrieved his University ID ; a quick googling showed some of his exam grades .' [/INST] [Moreover:O, ,:O, we:O, retrieved:O, his:O, University:O, ID:O, ;:O, a:O, quick:O, googling:O, showed:O, some:O, of:O, his:O, exam:O, grades:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , his study results are out of the scope of our research .' [/INST] [However:O, ,:O, his:O, study:O, results:O, are:O, out:O, of:O, the:O, scope:O, of:O, our:O, research:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Based on our culprit ’ s email address , we were able to find his GitHub repository .' [/INST] [Based:O, on:O, our:O, culprit:O, ’:O, s:O, email:O, address:O, ,:O, we:O, were:O, able:O, to:O, find:O, his:O, GitHub:B-Organization, repository:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'His repository proves that he is indeed an Android developer , but it contained no publicly available code of the Ashas adware at the time of writing of this blogpost .' [/INST] [His:O, repository:O, proves:O, that:O, he:O, is:O, indeed:O, an:O, Android:B-System, developer:O, ,:O, but:O, it:O, contained:O, no:O, publicly:O, available:O, code:O, of:O, the:O, Ashas:B-Malware, adware:O, at:O, the:O, time:O, of:O, writing:O, of:O, this:O, blogpost:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , a simple Google search for the adware package name returned a “ TestDelete ” project that had been available in his repository at some point The malicious developer also has apps in Apple ’ s App Store .' [/INST] [However:O, ,:O, a:O, simple:O, Google:B-Organization, search:O, for:O, the:O, adware:O, package:O, name:O, returned:O, a:O, “:O, TestDelete:O, ”:O, project:O, that:O, had:O, been:O, available:O, in:O, his:O, repository:O, at:O, some:O, point:O, The:O, malicious:O, developer:O, also:O, has:O, apps:O, in:O, Apple:B-Organization, ’:O, s:O, App:B-System, Store:I-System, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Some of them are iOS versions of the ones removed from Google Play , but none contain adware functionality .' [/INST] [Some:O, of:O, them:O, are:O, iOS:B-System, versions:O, of:O, the:O, ones:O, removed:O, from:O, Google:B-System, Play:I-System, ,:O, but:O, none:O, contain:O, adware:O, functionality:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 10 .' [/INST] [Figure:O, 10:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malicious developer ’ s apps published on the App Store which don ’ t contain the Ashas adware Searching further for the malicious developer ’ s activities , we also discovered his Youtube channel propagating the Ashas adware and his other projects .' [/INST] [The:O, malicious:O, developer:O, ’:O, s:O, apps:O, published:O, on:O, the:O, App:O, Store:O, which:O, don:O, ’:O, t:O, contain:O, the:O, Ashas:B-Malware, adware:O, Searching:O, further:O, for:O, the:O, malicious:O, developer:O, ’:O, s:O, activities:O, ,:O, we:O, also:O, discovered:O, his:O, Youtube:B-System, channel:O, propagating:O, the:O, Ashas:B-Malware, adware:O, and:O, his:O, other:O, projects:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As for the Ashas family , one of the associated promotional videos , “ Head Soccer World Champion 2018 – Android , ios ” was viewed almost three million times and two others reached hundreds of thousands of views , as seen in Figure 11 .' [/INST] [As:O, for:O, the:O, Ashas:B-Malware, family:O, ,:O, one:O, of:O, the:O, associated:O, promotional:O, videos:O, ,:O, “:O, Head:O, Soccer:O, World:O, Champion:O, 2018:O, –:O, Android:B-System, ,:O, ios:B-System, ”:O, was:O, viewed:O, almost:O, three:O, million:O, times:O, and:O, two:O, others:O, reached:O, hundreds:O, of:O, thousands:O, of:O, views:O, ,:O, as:O, seen:O, in:O, Figure:O, 11:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 11 .' [/INST] [Figure:O, 11:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'YouTube channel of the malicious developer His YouTube channel provided us with another valuable piece of information : he himself features in a video tutorial for one of his other projects .' [/INST] [YouTube:B-System, channel:O, of:O, the:O, malicious:O, developer:O, His:O, YouTube:B-System, channel:O, provided:O, us:O, with:O, another:O, valuable:O, piece:O, of:O, information:O, ::O, he:O, himself:O, features:O, in:O, a:O, video:O, tutorial:O, for:O, one:O, of:O, his:O, other:O, projects:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Thanks to that project , we were able to extract his Facebook profile – which lists his studies at the aforementioned university .' [/INST] [Thanks:O, to:O, that:O, project:O, ,:O, we:O, were:O, able:O, to:O, extract:O, his:O, Facebook:B-Organization, profile:O, –:O, which:O, lists:O, his:O, studies:O, at:O, the:O, aforementioned:O, university:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 12 .' [/INST] [Figure:O, 12:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Facebook profile of the C & C domain registrar ( cover picture and profile picture edited out ) Linked on the malicious developer ’ s Facebook profile , we discovered a Facebook page , Minigameshouse , and an associated domain , minigameshouse [ .' [/INST] [Facebook:B-Organization, profile:O, of:O, the:O, C:O, &:O, C:O, domain:O, registrar:O, (:O, cover:O, picture:O, and:O, profile:O, picture:O, edited:O, out:O, ):O, Linked:O, on:O, the:O, malicious:O, developer:O, ’:O, s:O, Facebook:B-Organization, profile:O, ,:O, we:O, discovered:O, a:O, Facebook:B-Organization, page:O, ,:O, Minigameshouse:B-Indicator, ,:O, and:O, an:O, associated:O, domain:O, ,:O, minigameshouse:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] net .' [/INST] []:I-Indicator, net:I-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 domain is similar to the one the malware author used for his adware C & C communication , minigameshouse [ .' [/INST] [This:O, domain:O, is:O, similar:O, to:O, the:O, one:O, the:O, malware:O, author:O, used:O, for:O, his:O, adware:O, C:O, &:O, C:O, communication:O, ,:O, minigameshouse:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] us .' [/INST] []:I-Indicator, us:I-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Checking this Minigameshouse page further indicates that this person is indeed the owner of the minigameshouse [ .' [/INST] [Checking:O, this:O, Minigameshouse:B-Indicator, page:O, further:O, indicates:O, that:O, this:O, person:O, is:O, indeed:O, the:O, owner:O, of:O, the:O, minigameshouse:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] us domain : the phone number registered with this domain is the same as the phone number appearing on the Facebook page .' [/INST] []:I-Indicator, us:I-Indicator, domain:I-Indicator, ::O, the:O, phone:O, number:O, registered:O, with:O, this:O, domain:O, is:O, the:O, same:O, as:O, the:O, phone:O, number:O, appearing:O, on:O, the:O, Facebook:B-Organization, page:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 13 .' [/INST] [Figure:O, 13:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Facebook page managed by the C & C domain registrant uses the same base domain name ( minigameshouse ) and phone number as the registered malicious C & C used by the Ashas adware Of interest is that on the Minigameshouse Facebook page , the malicious developer promotes a slew of games beyond the Ashas family for download on both Google Play and the App Store .' [/INST] [Facebook:B-Organization, page:O, managed:O, by:O, the:O, C:O, &:O, C:O, domain:O, registrant:O, uses:O, the:O, same:O, base:O, domain:O, name:O, (:O, minigameshouse:O, ):O, and:O, phone:O, number:O, as:O, the:O, registered:O, malicious:O, C:O, &:O, C:O, used:O, by:O, the:O, Ashas:B-Malware, adware:O, Of:O, interest:O, is:O, that:O, on:O, the:O, Minigameshouse:O, Facebook:B-Organization, page:O, ,:O, the:O, malicious:O, developer:O, promotes:O, a:O, slew:O, of:O, games:O, beyond:O, the:O, Ashas:B-Malware, family:O, for:O, download:O, on:O, both:O, Google:B-System, Play:I-System, and:O, the:O, App:B-System, Store:I-System, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , all of those have been removed from Google Play – despite the fact that some of them didn ’ t contain any adware functionality .' [/INST] [However:O, ,:O, all:O, of:O, those:O, have:O, been:O, removed:O, from:O, Google:B-System, Play:I-System, –:O, despite:O, the:O, fact:O, that:O, some:O, of:O, them:O, didn:O, ’:O, t:O, contain:O, any:O, adware:O, functionality:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On top of all this , one of the malicious developer ’ s YouTube videos – a tutorial on developing an “ Instant Game ” for Facebook – serves as an example of operational security completely ignored .' [/INST] [On:O, top:O, of:O, all:O, this:O, ,:O, one:O, of:O, the:O, malicious:O, developer:O, ’:O, s:O, YouTube:B-System, videos:O, –:O, a:O, tutorial:O, on:O, developing:O, an:O, “:O, Instant:O, Game:O, ”:O, for:O, Facebook:B-Organization, –:O, serves:O, as:O, an:O, example:O, of:O, operational:O, security:O, completely:O, ignored:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 see that his recently visited web sites were Google Play pages belonging to apps containing the Ashas adware .' [/INST] [We:O, were:O, able:O, to:O, see:O, that:O, his:O, recently:O, visited:O, web:O, sites:O, were:O, Google:B-System, Play:I-System, pages:O, belonging:O, to:O, apps:O, containing:O, the:O, Ashas:B-Malware, adware:I-Malware, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'He also used his email account to log into various services in the video , which identifies him as the adware domain owner , beyond any doubt .' [/INST] [He:O, also:O, used:O, his:O, email:O, account:O, to:O, log:O, into:O, various:O, services:O, in:O, the:O, video:O, ,:O, which:O, identifies:O, him:O, as:O, the:O, adware:O, domain:O, owner:O, ,:O, beyond:O, any:O, doubt:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Thanks to the video , we were even able to identify three further apps that contained adware functionality and were available on Google Play .' [/INST] [Thanks:O, to:O, the:O, video:O, ,:O, we:O, were:O, even:O, able:O, to:O, identify:O, three:O, further:O, apps:O, that:O, contained:O, adware:O, functionality:O, and:O, were:O, available:O, on:O, Google:B-System, Play:I-System, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 14 .' [/INST] [Figure:O, 14:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Screenshots from this developer ’ s YouTube video shows history of checking Ashas adware on Google Play ESET telemetry Figure 15 .' [/INST] [Screenshots:O, from:O, this:O, developer:O, ’:O, s:O, YouTube:B-System, video:O, shows:O, history:O, of:O, checking:O, Ashas:B-Malware, adware:O, on:O, Google:B-System, Play:I-System, ESET:B-Organization, telemetry:O, Figure:O, 15:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ESET detections of Android/AdDisplay.Ashas on Android devices by country Is adware harmful ?' [/INST] [ESET:B-Organization, detections:O, of:O, Android/AdDisplay.Ashas:B-Malware, on:O, Android:O, devices:O, by:O, country:O, Is:O, adware:O, harmful:O, ?:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Because the real nature of apps containing adware is usually hidden to the user , these apps and their developers should be considered untrustworthy .' [/INST] [Because:O, the:O, real:O, nature:O, of:O, apps:O, containing:O, adware:O, is:O, usually:O, hidden:O, to:O, the:O, user:O, ,:O, these:O, apps:O, and:O, their:O, developers:O, should:O, be:O, considered:O, untrustworthy:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When installed on a device , apps containing adware may , among other things : Annoy users with intrusive advertisements , including scam ads Waste the device ’ s battery resources Generate increased network traffic Gather users ’ personal information Hide their presence on the affected device to achieve persistence Generate revenue for their operator without any user interaction Conclusion Based solely on open source intelligence , we were able to trace the developer of the Ashas adware and establish his identity and discover additional related adware-infected apps .' [/INST] [When:O, installed:O, on:O, a:O, device:O, ,:O, apps:O, containing:O, adware:O, may:O, ,:O, among:O, other:O, things:O, ::O, Annoy:O, users:O, with:O, intrusive:O, advertisements:O, ,:O, including:O, scam:O, ads:O, Waste:O, the:O, device:O, ’:O, s:O, battery:O, resources:O, Generate:O, increased:O, network:O, traffic:O, Gather:O, users:O, ’:O, personal:O, information:O, Hide:O, their:O, presence:O, on:O, the:O, affected:O, device:O, to:O, achieve:O, persistence:O, Generate:O, revenue:O, for:O, their:O, operator:O, without:O, any:O, user:O, interaction:O, Conclusion:O, Based:O, solely:O, on:O, open:O, source:O, intelligence:O, ,:O, we:O, were:O, able:O, to:O, trace:O, the:O, developer:O, of:O, the:O, Ashas:B-Malware, adware:O, and:O, establish:O, his:O, identity:O, and:O, discover:O, additional:O, related:O, adware-infected:O, apps:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Seeing that the developer did not take any measures to protect his identity , it seems likely that his intentions weren ’ t dishonest at first – and this is also supported by the fact that not all his published apps contained unwanted ads .' [/INST] [Seeing:O, that:O, the:O, developer:O, did:O, not:O, take:O, any:O, measures:O, to:O, protect:O, his:O, identity:O, ,:O, it:O, seems:O, likely:O, that:O, his:O, intentions:O, weren:O, ’:O, t:O, dishonest:O, at:O, first:O, –:O, and:O, this:O, is:O, also:O, supported:O, by:O, the:O, fact:O, that:O, not:O, all:O, his:O, published:O, apps:O, contained:O, unwanted:O, ads:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'At some point in his Google Play “ career ” , he apparently decided to increase his ad revenue by implementing adware functionality in his apps ’ code .' [/INST] [At:O, some:O, point:O, in:O, his:O, Google:B-System, Play:I-System, “:O, career:O, ”:O, ,:O, he:O, apparently:O, decided:O, to:O, increase:O, his:O, ad:O, revenue:O, by:O, implementing:O, adware:O, functionality:O, in:O, his:O, apps:O, ’: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 various stealth and resilience techniques implemented in the adware show us that the culprit was aware of the malicious nature of the added functionality and attempted to keep it hidden .' [/INST] [The:O, various:O, stealth:O, and:O, resilience:O, techniques:O, implemented:O, in:O, the:O, adware:O, show:O, us:O, that:O, the:O, culprit:O, was:O, aware:O, of:O, the:O, malicious:O, nature:O, of:O, the:O, added:O, functionality:O, and:O, attempted:O, to:O, keep:O, it:O, hidden:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sneaking unwanted or harmful functionality into popular , benign apps is a common practice among “ bad ” developers , and we are committed to tracking down such apps .' [/INST] [Sneaking:O, unwanted:O, or:O, harmful:O, functionality:O, into:O, popular:O, ,:O, benign:O, apps:O, is:O, a:O, common:O, practice:O, among:O, “:O, bad:O, ”:O, developers:O, ,:O, and:O, we:O, are:O, committed:O, to:O, tracking:O, down:O, such:O, apps:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 report them to Google and take other steps to disrupt malicious campaigns we discover .' [/INST] [We:O, report:O, them:O, to:O, Google:B-Organization, and:O, take:O, other:O, steps:O, to:O, disrupt:O, malicious:O, campaigns:O, we:O, discover:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Last but not least , we publish our findings to help Android users protect themselves .' [/INST] [Last:O, but:O, not:O, least:O, ,:O, we:O, publish:O, our:O, findings:O, to:O, help:O, Android:B-System, users:O, protect:O, themselves:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'MITRE ATT & CK techniques Tactic ID Name Description Initial Access T1475 Deliver Malicious App via Authorized App Store The malware impersonates legitimate services on Google Play Persistence T1402 App Auto-Start at Device Boot An Android application can listen for the BOOT_COMPLETED broadcast , ensuring that the app 's functionality will be activated every time the device starts Impact T1472 Generate Fraudulent Advertising Revenue Generates revenue by automatically displaying ads The Rotexy mobile Trojan – banker and ransomware 22 NOV 2018 On' [/INST] [MITRE:B-Organization, ATT:O, &:O, CK:O, techniques:O, Tactic:O, ID:O, Name:O, Description:O, Initial:O, Access:O, T1475:O, Deliver:O, Malicious:O, App:O, via:O, Authorized:O, App:O, Store:O, The:O, malware:O, impersonates:O, legitimate:O, services:O, on:O, Google:B-System, Play:I-System, Persistence:O, T1402:O, App:O, Auto-Start:O, at:O, Device:O, Boot:O, An:O, Android:O, application:O, can:O, listen:O, for:O, the:O, BOOT_COMPLETED:O, broadcast:O, ,:O, ensuring:O, that:O, the:O, app:O, 's:O, functionality:O, will:O, be:O, activated:O, every:O, time:O, the:O, device:O, starts:O, Impact:O, T1472:O, Generate:O, Fraudulent:O, Advertising:O, Revenue:O, Generates:O, revenue:O, by:O, automatically:O, displaying:O, ads:O, The:O, Rotexy:B-Malware, mobile:O, Trojan:O, –:O, banker:O, and:O, ransomware:O, 22:O, NOV:O, 2018:O, On:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 back of a surge in Trojan activity , we decided to carry out an in-depth analysis and track the evolution of some other popular malware families besides Asacub .' [/INST] [the:O, back:O, of:O, a:O, surge:O, in:O, Trojan:O, activity:O, ,:O, we:O, decided:O, to:O, carry:O, out:O, an:O, in-depth:O, analysis:O, and:O, track:O, the:O, evolution:O, of:O, some:O, other:O, popular:O, malware:O, families:O, besides:O, Asacub:B-Malware, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One of the most interesting and active specimens to date was a mobile Trojan from the Rotexy family .' [/INST] [One:O, of:O, the:O, most:O, interesting:O, and:O, active:O, specimens:O, to:O, date:O, was:O, a:O, mobile:O, Trojan:O, from:O, the:O, Rotexy:B-Malware, family:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 a three-month period from August to October 2018 , it launched over 70,000 attacks against users located primarily in Russia .' [/INST] [In:O, a:O, three-month:O, period:O, from:O, August:O, to:O, October:O, 2018:O, ,:O, it:O, launched:O, over:O, 70,000:O, attacks:O, against:O, users:O, located:O, primarily:O, in:O, Russia:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'An interesting feature of this family of banking Trojans is the simultaneous use of three command sources : Google Cloud Messaging ( GCM ) service – used to send small messages in JSON format to a mobile device via Google servers ; malicious C & C server ; incoming SMS messages .' [/INST] [An:O, interesting:O, feature:O, of:O, this:O, family:O, of:O, banking:O, Trojans:O, is:O, the:O, simultaneous:O, use:O, of:O, three:O, command:O, sources:O, ::O, Google:O, Cloud:O, Messaging:O, (:O, GCM:O, ):O, service:O, –:O, used:O, to:O, send:O, small:O, messages:O, in:O, JSON:O, format:O, to:O, a:O, mobile:O, device:O, via:O, Google:O, servers:O, ;:O, malicious:O, C:O, &:O, C:O, server:O, ;:O, incoming:O, SMS:O, messages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ‘ versatility ’ was present in the first version of Rotexy and has been a feature of all the family ’ s subsequent representatives .' [/INST] [This:O, ‘:O, versatility:O, ’:O, was:O, present:O, in:O, the:O, first:O, version:O, of:O, Rotexy:B-Malware, and:O, has:O, been:O, a:O, feature:O, of:O, all:O, the:O, family:O, ’:O, s:O, subsequent:O, representatives:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 research we also arrived at the conclusion that this Trojan evolved from an SMS spyware Trojan that was first spotted in October 2014 .' [/INST] [During:O, our:O, research:O, we:O, also:O, arrived:O, at:O, the:O, conclusion:O, that:O, this:O, Trojan:O, evolved:O, from:O, an:O, SMS:O, spyware:O, Trojan:O, that:O, was:O, first:O, spotted:O, in:O, October:O, 2014:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Back then it was detected as Trojan-Spy.AndroidOS.SmsThief , but later versions were assigned to another family – Trojan-Banker.AndroidOS.Rotexy .' [/INST] [Back:O, then:O, it:O, was:O, detected:O, as:O, Trojan-Spy.AndroidOS.SmsThief:B-Malware, ,:O, but:O, later:O, versions:O, were:O, assigned:O, to:O, another:O, family:O, –:O, Trojan-Banker.AndroidOS.Rotexy:B-Malware, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 modern version of Rotexy combines the functions of a banking Trojan and ransomware .' [/INST] [The:O, modern:O, version:O, of:O, Rotexy:B-Malware, combines:O, the:O, functions:O, of:O, a:O, banking:O, Trojan:O, and:O, 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: 'It spreads under the name AvitoPay.apk ( or similar ) and downloads from websites with names like youla9d6h.tk , prodam8n9.tk , prodamfkz.ml , avitoe0ys.tk , etc .' [/INST] [It:O, spreads:O, under:O, the:O, name:O, AvitoPay.apk:B-Indicator, (:O, or:O, similar:O, ):O, and:O, downloads:O, from:O, websites:O, with:O, names:O, like:O, youla9d6h.tk:B-Indicator, ,:O, prodam8n9.tk:B-Indicator, ,:O, prodamfkz.ml:B-Indicator, ,:O, avitoe0ys.tk:B-Indicator, ,:O, etc:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 website names are generated according to a clear algorithm : the first few letters are suggestive of popular classified ad services , followed by a random string of characters , followed by a two-letter top-level domain .' [/INST] [These:O, website:O, names:O, are:O, generated:O, according:O, to:O, a:O, clear:O, algorithm:O, ::O, the:O, first:O, few:O, letters:O, are:O, suggestive:O, of:O, popular:O, classified:O, ad:O, services:O, ,:O, followed:O, by:O, a:O, random:O, string:O, of:O, characters:O, ,:O, followed:O, by:O, a:O, two-letter:O, top-level:O, domain:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'But before we go into the details of what the latest version of Rotexy can do and why it ’ s distinctive , we would like to give a summary of the path the Trojan has taken since 2014 up to the present day .' [/INST] [But:O, before:O, we:O, go:O, into:O, the:O, details:O, of:O, what:O, the:O, latest:O, version:O, of:O, Rotexy:B-Malware, can:O, do:O, and:O, why:O, it:O, ’:O, s:O, distinctive:O, ,:O, we:O, would:O, like:O, to:O, give:O, a:O, summary:O, of:O, the:O, path:O, the:O, Trojan:O, has:O, taken:O, since:O, 2014:O, up:O, to:O, the:O, present:O, day:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Evolution of Rotexy 2014–2015 Since the malicious program was detected in 2014 , its main functions and propagation method have not changed : Rotexy spreads via links sent in phishing SMSs that prompt the user to install an app .' [/INST] [Evolution:O, of:O, Rotexy:B-Malware, 2014–2015:O, Since:O, the:O, malicious:O, program:O, was:O, detected:O, in:O, 2014:O, ,:O, its:O, main:O, functions:O, and:O, propagation:O, method:O, have:O, not:O, changed:O, ::O, Rotexy:B-Malware, spreads:O, via:O, links:O, sent:O, in:O, phishing:O, SMSs:O, that:O, prompt:O, the:O, user:O, to:O, install:O, an:O, app:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As it launches , it requests device administrator rights , and then starts communicating with its C & C server .' [/INST] [As:O, it:O, launches:O, ,:O, it:O, requests:O, device:O, administrator:O, rights:O, ,:O, and:O, then:O, starts:O, communicating:O, with:O, its:O, C:O, &:O, C:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Until mid-2015 , Rotexy used a plain-text JSON format to communicate with its C & C .' [/INST] [Until:O, mid-2015:O, ,:O, Rotexy:B-Malware, used:O, a:O, plain-text:O, JSON:O, format:O, to:O, communicate:O, with:O, its:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 C & C address was specified in the code and was also unencrypted : In some versions , a dynamically generated low-level domain was used as an address : In its first communication , the Trojan sent the infected device ’ s IMEI to the C & C , and in return it received a set of rules for processing incoming SMSs ( phone numbers , keywords and regular expressions ) – these applied mainly to messages from banks , payment systems and mobile network operators .' [/INST] [The:O, C:O, &:O, C:O, address:O, was:O, specified:O, in:O, the:O, code:O, and:O, was:O, also:O, unencrypted:O, ::O, In:O, some:O, versions:O, ,:O, a:O, dynamically:O, generated:O, low-level:O, domain:O, was:O, used:O, as:O, an:O, address:O, ::O, In:O, its:O, first:O, communication:O, ,:O, the:O, Trojan:O, sent:O, the:O, infected:O, device:O, ’:O, s:O, IMEI:O, to:O, the:O, C:O, &:O, C:O, ,:O, and:O, in:O, return:O, it:O, received:O, a:O, set:O, of:O, rules:O, for:O, processing:O, incoming:O, SMSs:O, (:O, phone:O, numbers:O, ,:O, keywords:O, and:O, regular:O, expressions:O, ):O, –:O, these:O, applied:O, mainly:O, to:O, messages:O, from:O, banks:O, ,:O, payment:O, systems:O, and:O, mobile:O, network:O, operators:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For instance , the Trojan could automatically reply to an SMS and immediately delete it .' [/INST] [For:O, instance:O, ,:O, the:O, Trojan:O, could:O, automatically:O, reply:O, to:O, an:O, SMS:O, and:O, immediately:O, delete:O, it:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Rotexy then sent information about the smartphone to the C & C , including the phone model , number , name of the mobile network operator , versions of the operating system and IMEI .' [/INST] [Rotexy:B-Malware, then:O, sent:O, information:O, about:O, the:O, smartphone:O, to:O, the:O, C:O, &:O, C:O, ,:O, including:O, the:O, phone:O, model:O, ,:O, number:O, ,:O, name:O, of:O, the:O, mobile:O, network:O, operator:O, ,:O, versions:O, of:O, the:O, operating:O, system:O, and:O, IMEI:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 each subsequent request , a new subdomain was generated .' [/INST] [With:O, each:O, subsequent:O, request:O, ,:O, a:O, new:O, subdomain:O, was:O, generated:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 algorithm for generating the lowest-level domain name was hardwired in the Trojan ’ s code .' [/INST] [The:O, algorithm:O, for:O, generating:O, the:O, lowest-level:O, domain:O, name:O, was:O, hardwired:O, in:O, the:O, Trojan:O, ’:O, s: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 Trojan also registered in Google Cloud Messaging ( GCM ) , meaning it could then receive commands via that service .' [/INST] [The:O, Trojan:O, also:O, registered:O, in:O, Google:B-System, Cloud:I-System, Messaging:I-System, (:I-System, GCM:I-System, ):I-System, ,:O, meaning:O, it:O, could:O, then:O, receive:O, commands:O, via:O, that:O, service:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ’ s list of possible commands has remained practically unchanged throughout its life , and will be described below in detail .' [/INST] [The:O, Trojan:O, ’:O, s:O, list:O, of:O, possible:O, commands:O, has:O, remained:O, practically:O, unchanged:O, throughout:O, its:O, life:O, ,:O, and:O, will:O, be:O, described:O, below:O, in:O, detail:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ’ s assets folder contained the file data.db with a list of possible values for the User-Agent field for the PAGE command ( which downloads the specified webpage ) .' [/INST] [The:O, Trojan:O, ’:O, s:O, assets:O, folder:O, contained:O, the:O, file:O, data.db:B-Indicator, with:O, a:O, list:O, of:O, possible:O, values:O, for:O, the:O, User-Agent:O, field:O, for:O, the:O, PAGE:O, command:O, (:O, which:O, downloads:O, the:O, specified:O, webpage: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 value of this field failed to arrive from the C & C , it was selected from the file data.db using a pseudo-random algorithm .' [/INST] [If:O, the:O, value:O, of:O, this:O, field:O, failed:O, to:O, arrive:O, from:O, the:O, C:O, &:O, C:O, ,:O, it:O, was:O, selected:O, from:O, the:O, file:O, data.db:B-Indicator, using:O, a:O, pseudo-random:O, algorithm:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '2015–2016 Starting from mid-2015 , the Trojan began using the AES algorithm to encrypt data communicated between the infected device and the C & C : Also starting with the same version , data is sent in a POST request to the relative address with the format “ / [ number ] ” ( a pseudo-randomly generated number in the range 0–9999 ) .' [/INST] [2015–2016:O, Starting:O, from:O, mid-2015:O, ,:O, the:O, Trojan:O, began:O, using:O, the:O, AES:O, algorithm:O, to:O, encrypt:O, data:O, communicated:O, between:O, the:O, infected:O, device:O, and:O, the:O, C:O, &:O, C:O, ::O, Also:O, starting:O, with:O, the:O, same:O, version:O, ,:O, data:O, is:O, sent:O, in:O, a:O, POST:O, request:O, to:O, the:O, relative:O, address:O, with:O, the:O, format:O, “:O, /:O, [:O, number:O, ]:O, ”:O, (:O, a:O, pseudo-randomly:O, generated:O, number:O, in:O, the:O, range:O, 0–9999: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: 'In some samples , starting from January 2016 , an algorithm has been implemented for unpacking the encrypted executable DEX file from the assets folder .' [/INST] [In:O, some:O, samples:O, ,:O, starting:O, from:O, January:O, 2016:O, ,:O, an:O, algorithm:O, has:O, been:O, implemented:O, for:O, unpacking:O, the:O, encrypted:O, executable:O, DEX:O, file:O, from:O, the:O, assets:O, folder:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 version of Rotexy , dynamic generation of lowest-level domains was not used .' [/INST] [In:O, this:O, version:O, of:O, Rotexy:B-Malware, ,:O, dynamic:O, generation:O, of:O, lowest-level:O, domains:O, was:O, not:O, used:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '2016 From mid-2016 on , the cybercriminals returned to dynamic generation of lowest-level domains .' [/INST] [2016:O, From:O, mid-2016:O, on:O, ,:O, the:O, cybercriminals:O, returned:O, to:O, dynamic:O, generation:O, of:O, lowest-level:O, domains:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'No other significant changes were observed in the Trojan ’ s network behavior .' [/INST] [No:O, other:O, significant:O, changes:O, were:O, observed:O, in:O, the:O, Trojan:O, ’:O, s:O, network:O, behavior:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2016 , versions of the Trojan emerged that contained the card.html phishing page in the assets/www folder .' [/INST] [In:O, late:O, 2016:O, ,:O, versions:O, of:O, the:O, Trojan:O, emerged:O, that:O, contained:O, the:O, card.html:B-Indicator, phishing:O, page:O, in:O, the:O, assets/www:B-Indicator, folder:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 page was designed to steal users ’ bank card details : 2017–2018 From early 2017 , the HTML phishing pages bank.html , update.html and extortionist.html started appearing in the assets folder .' [/INST] [The:O, page:O, was:O, designed:O, to:O, steal:O, users:O, ’:O, bank:O, card:O, details:O, ::O, 2017–2018:O, From:O, early:O, 2017:O, ,:O, the:O, HTML:O, phishing:O, pages:O, bank.html:B-Indicator, ,:O, update.html:B-Indicator, and:O, extortionist.html:B-Indicator, started:O, appearing:O, in:O, the:O, assets:O, folder:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , in some versions of the Trojan the file names were random strings of characters .' [/INST] [Also:O, ,:O, in:O, some:O, versions:O, of:O, the:O, Trojan:O, the:O, file:O, names:O, were:O, random:O, strings:O, of:O, characters:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2018 , versions of Rotexy emerged that contacted the C & C using its IP address .' [/INST] [In:O, 2018:O, ,:O, versions:O, of:O, Rotexy:B-Malware, emerged:O, that:O, contacted:O, the:O, C:O, &:O, C:O, using:O, its:O, IP:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '‘ One-time ’ domains also appeared with names made up of random strings of characters and numbers , combined with the top-level domains .cf , .ga , .gq , .ml , or .tk .' [/INST] [‘:O, One-time:O, ’:O, domains:O, also:O, appeared:O, with:O, names:O, made:O, up:O, of:O, random:O, strings:O, of:O, characters:O, and:O, numbers:O, ,:O, combined:O, with:O, the:O, top-level:O, domains:O, .cf:O, ,:O, .ga:O, ,:O, .gq:O, ,:O, .ml:O, ,:O, or:O, .tk:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'At this time , the Trojan also began actively using different methods of obfuscation .' [/INST] [At:O, this:O, time:O, ,:O, the:O, Trojan:O, also:O, began:O, actively:O, using:O, different:O, methods:O, of:O, obfuscation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 DEX file is packed with garbage strings and/or operations , and contains a key to decipher the main executable file from the APK .' [/INST] [For:O, example:O, ,:O, the:O, DEX:O, file:O, is:O, packed:O, with:O, garbage:O, strings:O, and/or:O, operations:O, ,:O, and:O, contains:O, a:O, key:O, to:O, decipher:O, the:O, main:O, executable:O, file:O, from:O, the:O, APK:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Latest version ( 2018 ) Let ’ s now return to the present day and a detailed description of the functionality of a current representative of the Rotexy family ( SHA256 : ba4beb97f5d4ba33162f769f43ec8e7d1ae501acdade792a4a577cd6449e1a84 ) .' [/INST] [Latest:O, version:O, (:O, 2018:O, ):O, Let:O, ’:O, s:O, now:O, return:O, to:O, the:O, present:O, day:O, and:O, a:O, detailed:O, description:O, of:O, the:O, functionality:O, of:O, a:O, current:O, representative:O, of:O, the:O, Rotexy:B-Malware, family:O, (:O, SHA256:O, ::O, ba4beb97f5d4ba33162f769f43ec8e7d1ae501acdade792a4a577cd6449e1a84:B-Indicator, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Application launch When launching for the first time , the Trojan checks if it is being launched in an emulation environment , and in which country it is being launched .' [/INST] [Application:O, launch:O, When:O, launching:O, for:O, the:O, first:O, time:O, ,:O, the:O, Trojan:O, checks:O, if:O, it:O, is:O, being:O, launched:O, in:O, an:O, emulation:O, environment:O, ,:O, and:O, in:O, which:O, country:O, it:O, is:O, being:O, launched:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 device is located outside Russia or is an emulator , the application displays a stub page : In this case , the Trojan ’ s logs contain records in Russian with grammatical errors and spelling mistakes : If the check is successful , Rotexy registers with GCM and launches SuperService which tracks if the Trojan has device administrator privileges .' [/INST] [If:O, the:O, device:O, is:O, located:O, outside:O, Russia:O, or:O, is:O, an:O, emulator:O, ,:O, the:O, application:O, displays:O, a:O, stub:O, page:O, ::O, In:O, this:O, case:O, ,:O, the:O, Trojan:O, ’:O, s:O, logs:O, contain:O, records:O, in:O, Russian:O, with:O, grammatical:O, errors:O, and:O, spelling:O, mistakes:O, ::O, If:O, the:O, check:O, is:O, successful:O, ,:O, Rotexy:B-Malware, registers:O, with:O, GCM:B-System, and:O, launches:O, SuperService:O, which:O, tracks:O, if:O, the:O, Trojan:O, has:O, device:O, administrator:O, privileges:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'SuperService also tracks its own status and relaunches if stopped .' [/INST] [SuperService:O, also:O, tracks:O, its:O, own:O, status:O, and:O, relaunches:O, if:O, stopped:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 performs a privilege check once every second ; if unavailable , the Trojan starts requesting them from the user in an infinite loop : If the user agrees and gives the application the requested privileges , another stub page is displayed , and the app hides its icon : If the Trojan detects an attempt to revoke its administrator privileges , it starts periodically switching off the phone screen , trying to stop the user actions .' [/INST] [It:O, performs:O, a:O, privilege:O, check:O, once:O, every:O, second:O, ;:O, if:O, unavailable:O, ,:O, the:O, Trojan:O, starts:O, requesting:O, them:O, from:O, the:O, user:O, in:O, an:O, infinite:O, loop:O, ::O, If:O, the:O, user:O, agrees:O, and:O, gives:O, the:O, application:O, the:O, requested:O, privileges:O, ,:O, another:O, stub:O, page:O, is:O, displayed:O, ,:O, and:O, the:O, app:O, hides:O, its:O, icon:O, ::O, If:O, the:O, Trojan:O, detects:O, an:O, attempt:O, to:O, revoke:O, its:O, administrator:O, privileges:O, ,:O, it:O, starts:O, periodically:O, switching:O, off:O, the:O, phone:O, screen:O, ,:O, trying:O, to:O, stop:O, the:O, user:O, actions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 privileges are revoked successfully , the Trojan relaunches the cycle of requesting administrator privileges .' [/INST] [If:O, the:O, privileges:O, are:O, revoked:O, successfully:O, ,:O, the:O, Trojan:O, relaunches:O, the:O, cycle:O, of:O, requesting:O, administrator:O, privileges:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , for some reason , SuperService does not switch off the screen when there is an attempt to revoke the device administrator privileges , the Trojan tries to intimidate the user : While running , Rotexy tracks the following : switching on and rebooting of the phone ; termination of its operation – in this case , it relaunches ; sending of an SMS by the app – in this case , the phone is switched to silent mode .' [/INST] [If:O, ,:O, for:O, some:O, reason:O, ,:O, SuperService:O, does:O, not:O, switch:O, off:O, the:O, screen:O, when:O, there:O, is:O, an:O, attempt:O, to:O, revoke:O, the:O, device:O, administrator:O, privileges:O, ,:O, the:O, Trojan:O, tries:O, to:O, intimidate:O, the:O, user:O, ::O, While:O, running:O, ,:O, Rotexy:B-Malware, tracks:O, the:O, following:O, ::O, switching:O, on:O, and:O, rebooting:O, of:O, the:O, phone:O, ;:O, termination:O, of:O, its:O, operation:O, –:O, in:O, this:O, case:O, ,:O, it:O, relaunches:O, ;:O, sending:O, of:O, an:O, SMS:O, by:O, the:O, app:O, –:O, in:O, this:O, case:O, ,:O, the:O, phone:O, is:O, switched:O, to:O, silent:O, mode:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'C & C communications The default C & C address is hardwired in the Rotexy code : The relative address to which the Trojan will send information from the device is generated in a pseudo-random manner .' [/INST] [C:O, &:O, C:O, communications:O, The:O, default:O, C:O, &:O, C:O, address:O, is:O, hardwired:O, in:O, the:O, Rotexy:B-Malware, code:O, ::O, The:O, relative:O, address:O, to:O, which:O, the:O, Trojan:O, will:O, send:O, information:O, from:O, the:O, device:O, is:O, generated:O, in:O, a:O, pseudo-random:O, manner:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Depending on the Trojan version , dynamically generated subdomains can also be used .' [/INST] [Depending:O, on:O, the:O, Trojan:O, version:O, ,:O, dynamically:O, generated:O, subdomains:O, can:O, also:O, be:O, used:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 stores information about C & C servers and the data harvested from the infected device in a local SQLite database .' [/INST] [The:O, Trojan:O, stores:O, information:O, about:O, C:O, &:O, C:O, servers:O, and:O, the:O, data:O, harvested:O, from:O, the:O, infected:O, device:O, in:O, a:O, local:O, SQLite:O, database:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First off , the Trojan registers in the administration panel and receives the information it needs to operate from the C & C ( the SMS interception templates and the text that will be displayed on HTML pages ) : Rotexy intercepts all incoming SMSs and processes them according to the templates it received from the C & C .' [/INST] [First:O, off:O, ,:O, the:O, Trojan:O, registers:O, in:O, the:O, administration:O, panel:O, and:O, receives:O, the:O, information:O, it:O, needs:O, to:O, operate:O, from:O, the:O, C:O, &:O, C:O, (:O, the:O, SMS:O, interception:O, templates:O, and:O, the:O, text:O, that:O, will:O, be:O, displayed:O, on:O, HTML:O, pages:O, ):O, ::O, Rotexy:B-Malware, intercepts:O, all:O, incoming:O, SMSs:O, and:O, processes:O, them:O, according:O, to:O, the:O, templates:O, it:O, received:O, from:O, the:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , when an SMS arrives , the Trojan puts the phone into silent mode and switches off the screen so the user doesn ’ t notice that a new SMS has arrived .' [/INST] [Also:O, ,:O, when:O, an:O, SMS:O, arrives:O, ,:O, the:O, Trojan:O, puts:O, the:O, phone:O, into:O, silent:O, mode:O, and:O, switches:O, off:O, the:O, screen:O, so:O, the:O, user:O, doesn:O, ’:O, t:O, notice:O, that:O, a:O, new:O, SMS:O, has:O, arrived:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When required , the Trojan sends an SMS to the specified phone number with the information it has received from the intercepted message .' [/INST] [When:O, required:O, ,:O, the:O, Trojan:O, sends:O, an:O, SMS:O, to:O, the:O, specified:O, phone:O, number:O, with:O, the:O, information:O, it:O, has:O, received:O, from:O, the:O, intercepted:O, message:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 specified in the interception template whether a reply must be sent , and which text should be sent to which address .' [/INST] [(:O, It:O, is:O, specified:O, in:O, the:O, interception:O, template:O, whether:O, a:O, reply:O, must:O, be:O, sent:O, ,:O, and:O, which:O, text:O, should:O, be:O, sent:O, to:O, which:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 application hasn ’ t received instructions about the rules for processing incoming SMSs , it simply saves all SMSs to a local database and uploads them to the C & C .' [/INST] [):O, If:O, the:O, application:O, hasn:O, ’:O, t:O, received:O, instructions:O, about:O, the:O, rules:O, for:O, processing:O, incoming:O, SMSs:O, ,:O, it:O, simply:O, saves:O, all:O, SMSs:O, to:O, a:O, local:O, database:O, and:O, uploads:O, them:O, to:O, the:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Apart from general information about the device , the Trojan sends a list of all the running processes and installed applications to the C & C .' [/INST] [Apart:O, from:O, general:O, information:O, about:O, the:O, device:O, ,:O, the:O, Trojan:O, sends:O, a:O, list:O, of:O, all:O, the:O, running:O, processes:O, and:O, installed:O, applications:O, to:O, the:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ’ s possible the threat actors use this list to find running antivirus or banking applications .' [/INST] [It:O, ’:O, s:O, possible:O, the:O, threat:O, actors:O, use:O, this:O, list:O, to:O, find:O, running:O, antivirus:O, or:O, banking:O, applications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Rotexy will perform further actions after it receives the corresponding commands : START , STOP , RESTART — start , stop , restart SuperService .' [/INST] [Rotexy:B-Malware, will:O, perform:O, further:O, actions:O, after:O, it:O, receives:O, the:O, corresponding:O, commands:O, ::O, START:O, ,:O, STOP:O, ,:O, RESTART:O, —:O, start:O, ,:O, stop:O, ,:O, restart:O, SuperService:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'URL — update C & C address .' [/INST] [URL:O, —:O, update:O, C:O, &:O, C:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'MESSAGE – send SMS containing specified text to a specified number .' [/INST] [MESSAGE:O, –:O, send:O, SMS:O, containing:O, specified:O, text:O, to:O, a:O, specified:O, number:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'UPDATE_PATTERNS – reregister in the administration panel .' [/INST] [UPDATE_PATTERNS:O, –:O, reregister:O, in:O, the:O, administration:O, panel:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'UNBLOCK – unblock the telephone ( revoke device administrator privileges from the app ) .' [/INST] [UNBLOCK:O, –:O, unblock:O, the:O, telephone:O, (:O, revoke:O, device:O, administrator:O, privileges:O, from:O, the:O, app: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: 'UPDATE – download APK file from C & C and install it .' [/INST] [UPDATE:O, –:O, download:O, APK:O, file:O, from:O, C:O, &:O, C:O, and:O, install:O, it:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This command can be used not just to update the app but to install any other software on the infected device .' [/INST] [This:O, command:O, can:O, be:O, used:O, not:O, just:O, to:O, update:O, the:O, app:O, but:O, to:O, install:O, any:O, other:O, software:O, on:O, the:O, infected:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CONTACTS – send text received from C & C to all user contacts .' [/INST] [CONTACTS:O, –:O, send:O, text:O, received:O, from:O, C:O, &:O, C:O, to:O, all:O, user:O, contacts:O, .:O] </s> |