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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: 'This event triggers archive downloading thread .' [/INST] [This:O, event:O, triggers:O, archive:O, downloading:O, thread:O, .:O] </s>
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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: 'Once the event is triggered , it registers a timer .' [/INST] [Once:O, the:O, event:O, is:O, triggered:O, ,:O, it:O, registers:O, a:O, timer:O, .:O] </s>
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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: 'The timer triggers additional thread which makes a request to the server .' [/INST] [The:O, timer:O, triggers:O, additional:O, thread:O, which:O, makes:O, a:O, request:O, to:O, the:O, server:O, .:O] </s>
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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: 'It expects a json with url , class and method name .' [/INST] [It:O, expects:O, a:O, json:O, with:O, url:O, ,:O, class:O, and:O, method:O, name:O, .:O] </s>
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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: 'It downloads one more archive and dynamically loads code from it .' [/INST] [It:O, downloads:O, one:O, more:O, archive:O, and:O, dynamically:O, loads:O, code:O, from:O, it:O, .:O] </s>
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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: 'The final APK is downloaded from a different URL that is currently down , we assume that the apk purpose is overlaying ads on the screen , we assume this based on the research we have done on the API we found which returns URL of random APK file containing different advertising networks .' [/INST] [The:O, final:O, APK:O, is:O, downloaded:O, from:O, a:O, different:O, URL:O, that:O, is:O, currently:O, down:O, ,:O, we:O, assume:O, that:O, the:O, apk:O, purpose:O, is:O, overlaying:O, ads:O, on:O, the:O, screen:O, ,:O, we:O, assume:O, this:O, based:O, on:O, the:O, research:O, we:O, have:O, done:O, on:O, the:O, API:O, we:O, found:O, which:O, returns:O, URL:O, of:O, random:O, APK:O, file:O, containing:O, different:O, advertising:O, networks:O, .:O] </s>
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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: 'Persistency Watch-Dog The application contains protection against its own removal .' [/INST] [Persistency:O, Watch-Dog:O, The:O, application:O, contains:O, protection:O, against:O, its:O, own:O, removal:O, .:O] </s>
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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: 'As outlined in the diagram above , It installs an additional application with the same functionality and these two applications monitor the removal of each other .' [/INST] [As:O, outlined:O, in:O, the:O, diagram:O, above:O, ,:O, It:O, installs:O, an:O, additional:O, application:O, with:O, the:O, same:O, functionality:O, and:O, these:O, two:O, applications:O, monitor:O, the:O, removal:O, of:O, each:O, other:O, .:O] </s>
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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: 'If one of the applications is deleted , the second application downloads and re-installs the removed one .' [/INST] [If:O, one:O, of:O, the:O, applications:O, is:O, deleted:O, ,:O, the:O, second:O, application:O, downloads:O, and:O, re-installs:O, the:O, removed:O, one:O, .:O] </s>
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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: 'Network activity BrainTest communicates with five servers : APK files provider ( http : //psserviceonline [ .' [/INST] [Network:O, activity:O, BrainTest:O, communicates:O, with:O, five:O, servers:O, ::O, APK:O, files:O, provider:O, (:O, http:B-Indicator, ::I-Indicator, //psserviceonline:I-Indicator, [:I-Indicator, .:I-Indicator] </s>
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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: '] com/ ) : This server provides APK files with advertising network .' [/INST] []:I-Indicator, com/:I-Indicator, ):I-Indicator, ::O, This:O, server:O, provides:O, APK:O, files:O, with:O, advertising:O, network:O, .:O] </s>
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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: 'We found two functions : The first function is http : //s.psserviceonline [ .' [/INST] [We:O, found:O, two:O, functions:O, ::O, The:O, first:O, function:O, is:O, http:B-Indicator, ::I-Indicator, //s.psserviceonline:I-Indicator, [:I-Indicator, .:I-Indicator] </s>
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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: '] com/api/s2s/tracks/ and is used for activation .' [/INST] []:I-Indicator, com/api/s2s/tracks/:I-Indicator, and:O, is:O, used:O, for:O, activation:O, .:O] </s>
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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: 'The second function is http : //s.psserviceonline [ .' [/INST] [The:O, second:O, function:O, is:O, http:B-Indicator, ::I-Indicator, //s.psserviceonline:I-Indicator, [:I-Indicator, .:I-Indicator] </s>
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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: '] com/api/ads/ which is used for obtaining a link to APK file .' [/INST] []:I-Indicator, com/api/ads/:I-Indicator, which:O, is:O, used:O, for:O, obtaining:O, a:O, link:O, to:O, APK:O, file:O, .:O] </s>
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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: 'Regardless of the parameters , it returns a json containing a link for APK file .' [/INST] [Regardless:O, of:O, the:O, parameters:O, ,:O, it:O, returns:O, a:O, json:O, containing:O, a:O, link:O, for:O, APK:O, file:O, .:O] </s>
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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: 'File Server ( http : //www.psservicedl [ .' [/INST] [File:O, Server:O, (:O, http:B-Indicator, ::I-Indicator, //www.psservicedl:I-Indicator, [:I-Indicator, .:I-Indicator] </s>
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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: '] com ) : Contains android packages , java archives and zip archives with exploits Archive Link domains : Three domains with the same functionality , but the application chooses one of them to send request for archive link .' [/INST] []:I-Indicator, com:I-Indicator, ):O, ::O, Contains:O, android:B-System, packages:O, ,:O, java:O, archives:O, and:O, zip:O, archives:O, with:O, exploits:O, Archive:O, Link:O, domains:O, ::O, Three:O, domains:O, with:O, the:O, same:O, functionality:O, ,:O, but:O, the:O, application:O, chooses:O, one:O, of:O, them:O, to:O, send:O, request:O, for:O, archive:O, link:O, .:O] </s>
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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: 'http : //www.himobilephone [ .' [/INST] [http:B-Indicator, ::I-Indicator, //www.himobilephone:I-Indicator, [:I-Indicator, .:I-Indicator] </s>
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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: '] com http : //www.adsuperiorstore [ .' [/INST] []:I-Indicator, com:I-Indicator, http:B-Indicator, ::I-Indicator, //www.adsuperiorstore:I-Indicator, [:I-Indicator, .:I-Indicator] </s>
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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: '] com http : //www.i4vip [ .' [/INST] []:I-Indicator, com:I-Indicator, http:B-Indicator, ::I-Indicator, //www.i4vip:I-Indicator, [:I-Indicator, .:I-Indicator] </s>
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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: '] com Counter Measures Use an up to date anti-malware software that is capable of identifying this threat .' [/INST] []:I-Indicator, com:I-Indicator, Counter:O, Measures:O, Use:O, an:O, up:O, to:O, date:O, anti-malware:O, software:O, that:O, is:O, capable:O, of:O, identifying:O, this:O, threat:O, .:O] </s>
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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: 'If the threat reappears on the device after the first installation , it means that the malware managed to install the persistency module in the System directory .' [/INST] [If:O, the:O, threat:O, reappears:O, on:O, the:O, device:O, after:O, the:O, first:O, installation:O, ,:O, it:O, means:O, that:O, the:O, malware:O, managed:O, to:O, install:O, the:O, persistency:O, module:O, in:O, the:O, System:O, directory:O, .:O] </s>
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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: 'In this case , the device should be re-flashed with an official ROM .' [/INST] [In:O, this:O, case:O, ,:O, the:O, device:O, should:O, be:O, re-flashed:O, with:O, an:O, official:O, ROM:O, .:O] </s>
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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: 'Lookout Discovers Phishing Sites Distributing New IOS And Android Surveillanceware April 8 , 2019 For the past year , Lookout researchers have been tracking Android and iOS surveillanceware , that can exfiltrate contacts , audio recordings , photos , location , and more from devices .' [/INST] [Lookout:B-Organization, Discovers:O, Phishing:O, Sites:O, Distributing:O, New:O, IOS:B-System, And:O, Android:B-System, Surveillanceware:B-Malware, April:O, 8:O, ,:O, 2019:O, For:O, the:O, past:O, year:O, ,:O, Lookout:B-Organization, researchers:O, have:O, been:O, tracking:O, Android:B-System, and:O, iOS:B-System, surveillanceware:B-Malware, ,:O, that:O, can:O, exfiltrate:O, contacts:O, ,:O, audio:O, recordings:O, ,:O, photos:O, ,:O, location:O, ,:O, and:O, more:O, from:O, devices:O, .:O] </s>
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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: 'As has been previously reported , some versions of the Android malware were present in the Google Play Store .' [/INST] [As:O, has:O, been:O, previously:O, reported:O, ,:O, some:O, versions:O, of:O, the:O, Android:B-System, malware:O, were:O, present:O, in:O, the:O, Google:B-System, Play:I-System, Store:I-System, .:O] </s>
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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: 'The iOS versions were available outside the app store , through phishing sites , and abused the Apple Developer Enterprise program .' [/INST] [The:O, iOS:B-System, versions:O, were:O, available:O, outside:O, the:O, app:B-System, store:I-System, ,:O, through:O, phishing:O, sites:O, ,:O, and:O, abused:O, the:O, Apple:B-Organization, Developer:I-Organization, Enterprise:I-Organization, program:O, .:O] </s>
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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: 'Background : Android surveillanceware Early last year , Lookout discovered a sophisticated Android surveillanceware agent that appears to have been created for the lawful intercept market .' [/INST] [Background:O, ::O, Android:B-System, surveillanceware:O, Early:O, last:O, year:O, ,:O, Lookout:B-Organization, discovered:O, a:O, sophisticated:O, Android:B-System, surveillanceware:O, agent:O, that:O, appears:O, to:O, have:O, been:O, created:O, for:O, the:O, lawful:O, intercept:O, market:O, .:O] </s>
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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: 'The agent appears to have been under development for at least five years and consists of three stages .' [/INST] [The:O, agent:O, appears:O, to:O, have:O, been:O, under:O, development:O, for:O, at:O, least:O, five:O, years:O, and:O, consists:O, of:O, three:O, stages:O, .:O] </s>
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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: 'First , there is a small dropper , then a large second stage payload that contains multiple binaries ( where most of the surveillance functionality is implemented ) , and finally a third stage which typically uses the DirtyCOW exploit ( CVE-2016-5195 ) to obtain root .' [/INST] [First:O, ,:O, there:O, is:O, a:O, small:O, dropper:O, ,:O, then:O, a:O, large:O, second:O, stage:O, payload:O, that:O, contains:O, multiple:O, binaries:O, (:O, where:O, most:O, of:O, the:O, surveillance:O, functionality:O, is:O, implemented:O, ):O, ,:O, and:O, finally:O, a:O, third:O, stage:O, which:O, typically:O, uses:O, the:O, DirtyCOW:B-Vulnerability, exploit:I-Vulnerability, (:O, CVE-2016-5195:B-Vulnerability, ):O, to:O, obtain:O, root:O, .:O] </s>
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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: 'Security Without Borders has recently published an analysis of this family , independently , through their blog .' [/INST] [Security:B-Organization, Without:I-Organization, Borders:I-Organization, has:O, recently:O, published:O, an:O, analysis:O, of:O, this:O, family:O, ,:O, independently:O, ,:O, through:O, their:O, blog:O, .:O] </s>
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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: 'Several technical details indicated that the software was likely the product of a well-funded development effort and aimed at the lawful intercept market .' [/INST] [Several:O, technical:O, details:O, indicated:O, that:O, the:O, software:O, was:O, likely:O, the:O, product:O, of:O, a:O, well-funded:O, development:O, effort:O, and:O, aimed:O, at:O, the:O, lawful:O, intercept:O, market:O, .:O] </s>
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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: 'These included the use of certificate pinning and public key encryption for C2 communications , geo-restrictions imposed by the C2 when delivering the second stage , and the comprehensive and well implemented suite of surveillance features .' [/INST] [These:O, included:O, the:O, use:O, of:O, certificate:O, pinning:O, and:O, public:O, key:O, encryption:O, for:O, C2:O, communications:O, ,:O, geo-restrictions:O, imposed:O, by:O, the:O, C2:O, when:O, delivering:O, the:O, second:O, stage:O, ,:O, and:O, the:O, comprehensive:O, and:O, well:O, implemented:O, suite:O, of:O, surveillance:O, features:O, .:O] </s>
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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: 'Early versions of the Android application used infrastructure which belonged to a company named Connexxa S.R.L .' [/INST] [Early:O, versions:O, of:O, the:O, Android:B-System, application:O, used:O, infrastructure:O, which:O, belonged:O, to:O, a:O, company:O, named:O, Connexxa:B-Organization, S.R.L:I-Organization, .:I-Organization] </s>
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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: 'and were signed using the name of an engineer who appears to hold equity in Connexxa .' [/INST] [and:O, were:O, signed:O, using:O, the:O, name:O, of:O, an:O, engineer:O, who:O, appears:O, to:O, hold:O, equity:O, in:O, Connexxa:B-Organization, .:O] </s>
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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: 'This engineer ’ s name is also associated with a company called eSurv S.R.L .' [/INST] [This:O, engineer:O, ’:O, s:O, name:O, is:O, also:O, associated:O, with:O, a:O, company:O, called:O, eSurv:B-Organization, S.R.L:I-Organization, .:I-Organization] </s>
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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: 'eSurv ’ s public marketing is centered around video surveillance software and image recognition systems , but there are a number of individuals claiming to be mobile security researchers working at the company , including one who has publically made claims to be developing a mobile surveillance agent .' [/INST] [eSurv:B-Organization, ’:O, s:O, public:O, marketing:O, is:O, centered:O, around:O, video:O, surveillance:O, software:O, and:O, image:O, recognition:O, systems:O, ,:O, but:O, there:O, are:O, a:O, number:O, of:O, individuals:O, claiming:O, to:O, be:O, mobile:O, security:O, researchers:O, working:O, at:O, the:O, company:O, ,:O, including:O, one:O, who:O, has:O, publically:O, made:O, claims:O, to:O, be:O, developing:O, a:O, mobile:O, surveillance:O, agent:O, .:O] </s>
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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: 'Moreover , eSurv was a business unit of Connexxa and was leased to eSurv S.R.L in 2014 .' [/INST] [Moreover:O, ,:O, eSurv:B-Organization, was:O, a:O, business:O, unit:O, of:O, Connexxa:B-Organization, and:O, was:O, leased:O, to:O, eSurv:B-Organization, S.R.L:I-Organization, in:O, 2014:O, .:O] </s>
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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: 'This business unit and the eSurv software and brand was sold from Connexxa S.R.L .' [/INST] [This:O, business:O, unit:O, and:O, the:O, eSurv:B-Organization, software:O, and:O, brand:O, was:O, sold:O, from:O, Connexxa:B-Organization, S.R.L:I-Organization, .:I-Organization] </s>
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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: 'to eSurv S.R.L .' [/INST] [to:O, eSurv:B-Organization, S.R.L:I-Organization, .:I-Organization] </s>
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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: 'on Feb 28 , 2016 .' [/INST] [on:O, Feb:O, 28:O, ,:O, 2016:O, .:O] </s>
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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: 'Lookout notified Google of the potential threat shortly after it was discovered .' [/INST] [Lookout:B-Organization, notified:O, Google:B-Organization, of:O, the:O, potential:O, threat:O, shortly:O, after:O, it:O, was:O, discovered:O, .:O] </s>
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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: 'Together , during the latter half of 2018 , we worked to remove the apps from the Play store while it was being deployed in the wild .' [/INST] [Together:O, ,:O, during:O, the:O, latter:O, half:O, of:O, 2018:O, ,:O, we:O, worked:O, to:O, remove:O, the:O, apps:O, from:O, the:O, Play:B-System, store:I-System, while:O, it:O, was:O, being:O, deployed:O, in:O, the:O, wild:O, .:O] </s>
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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: 'iOS development Analysis of these Android samples led to the discovery of infrastructure that contained several samples of an iOS port .' [/INST] [iOS:B-System, development:O, Analysis:O, of:O, these:O, Android:B-System, samples:O, led:O, to:O, the:O, discovery:O, of:O, infrastructure:O, that:O, contained:O, several:O, samples:O, of:O, an:O, iOS:B-System, port:O, .:O] </s>
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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: 'So far , this software ( along with the Android version ) has been made available through phishing sites that imitated Italian and Turkmenistani mobile carriers .' [/INST] [So:O, far:O, ,:O, this:O, software:O, (:O, along:O, with:O, the:O, Android:B-System, version:O, ):O, has:O, been:O, made:O, available:O, through:O, phishing:O, sites:O, that:O, imitated:O, Italian:O, and:O, Turkmenistani:O, mobile:O, carriers:O, .:O] </s>
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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: 'Wind Tre SpA - an Italian telecom operator TMCell - the state owned mobile operator in Turkmenistan Deployment to users outside Apple ’ s app store was made possible through abuse of Apple ’ s enterprise provisioning system .' [/INST] [Wind:B-Organization, Tre:I-Organization, SpA:I-Organization, -:O, an:O, Italian:O, telecom:O, operator:O, TMCell:B-Organization, -:O, the:O, state:O, owned:O, mobile:O, operator:O, in:O, Turkmenistan:O, Deployment:O, to:O, users:O, outside:O, Apple:B-Organization, ’:O, s:O, app:O, store:O, was:O, made:O, possible:O, through:O, abuse:O, of:O, Apple:B-Organization, ’:O, s:O, enterprise:O, provisioning:O, system:O, .:O] </s>
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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: 'The Apple Developer Enterprise program is intended to allow organizations to distribute proprietary , in-house apps to their employees without needing to use the iOS App Store .' [/INST] [The:O, Apple:B-Organization, Developer:I-Organization, Enterprise:I-Organization, program:O, is:O, intended:O, to:O, allow:O, organizations:O, to:O, distribute:O, proprietary:O, ,:O, in-house:O, apps:O, to:O, their:O, employees:O, without:O, needing:O, to:O, use:O, the:O, iOS:B-System, App:B-System, Store:I-System, .:O] </s>
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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 business can obtain access to this program only provided they meet requirements set out by Apple .' [/INST] [A:O, business:O, can:O, obtain:O, access:O, to:O, this:O, program:O, only:O, provided:O, they:O, meet:O, requirements:O, set:O, out:O, by:O, Apple:B-Organization, .:O] </s>
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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: 'It is not common to use this program to distribute malware , although there have been past cases where malware authors have done so .' [/INST] [It:O, is:O, not:O, common:O, to:O, use:O, this:O, program:O, to:O, distribute:O, malware:O, ,:O, although:O, there:O, have:O, been:O, past:O, cases:O, where:O, malware:O, authors:O, have:O, done:O, so:O, .:O] </s>
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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: 'Each of the phishing sites contained links to a distribution manifest , which contained metadata such as the application name , version , icon , and a URL for the IPA file .' [/INST] [Each:O, of:O, the:O, phishing:O, sites:O, contained:O, links:O, to:O, a:O, distribution:O, manifest:O, ,:O, which:O, contained:O, metadata:O, such:O, as:O, the:O, application:O, name:O, ,:O, version:O, ,:O, icon:O, ,:O, and:O, a:O, URL:O, for:O, the:O, IPA:O, file:O, .:O] </s>
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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: 'To be distributed outside the app store , an IPA package must contain a mobile provisioning profile with an enterprise ’ s certificate .' [/INST] [To:O, be:O, distributed:O, outside:O, the:O, app:O, store:O, ,:O, an:O, IPA:O, package:O, must:O, contain:O, a:O, mobile:O, provisioning:O, profile:O, with:O, an:O, enterprise:O, ’:O, s:O, certificate:O, .:O] </s>
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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: 'All these packages used provisioning profiles with distribution certificates associated with the company Connexxa S.R.L .' [/INST] [All:O, these:O, packages:O, used:O, provisioning:O, profiles:O, with:O, distribution:O, certificates:O, associated:O, with:O, the:O, company:O, Connexxa:B-Organization, S.R.L:I-Organization, .:I-Organization] </s>
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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: 'Certificate Used The apps themselves pretended to be carrier assistance apps which instructed the user to “ keep the app installed on your device and stay under Wi-Fi coverage to be contacted by one of our operators ” .' [/INST] [Certificate:O, Used:O, The:O, apps:O, themselves:O, pretended:O, to:O, be:O, carrier:O, assistance:O, apps:O, which:O, instructed:O, the:O, user:O, to:O, “:O, keep:O, the:O, app:O, installed:O, on:O, your:O, device:O, and:O, stay:O, under:O, Wi-Fi:O, coverage:O, to:O, be:O, contacted:O, by:O, one:O, of:O, our:O, operators:O, ”:O, .:O] </s>
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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: 'One of the packages after initial launch The iOS variant is not as sophisticated as the Android version , and contained a subset of the functionality the Android releases offered .' [/INST] [One:O, of:O, the:O, packages:O, after:O, initial:O, launch:O, The:O, iOS:B-System, variant:O, is:O, not:O, as:O, sophisticated:O, as:O, the:O, Android:B-System, version:O, ,:O, and:O, contained:O, a:O, subset:O, of:O, the:O, functionality:O, the:O, Android:B-System, releases:O, offered:O, .:O] </s>
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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: 'In particular , these packages have not been observed to contain or to download exploits which would be required to perform certain types of activities on iOS devices .' [/INST] [In:O, particular:O, ,:O, these:O, packages:O, have:O, not:O, been:O, observed:O, to:O, contain:O, or:O, to:O, download:O, exploits:O, which:O, would:O, be:O, required:O, to:O, perform:O, certain:O, types:O, of:O, activities:O, on:O, iOS:B-System, devices:O, .:O] </s>
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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: 'Even without capabilities to exploit a device , the packages were able to exfiltrate the following types of data using documented APIs : Contacts Audio recordings Photos Videos GPS location Device information In addition , the packages offered a feature to perform remote audio recording .' [/INST] [Even:O, without:O, capabilities:O, to:O, exploit:O, a:O, device:O, ,:O, the:O, packages:O, were:O, able:O, to:O, exfiltrate:O, the:O, following:O, types:O, of:O, data:O, using:O, documented:O, APIs:O, ::O, Contacts:O, Audio:O, recordings:O, Photos:O, Videos:O, GPS:B-System, location:O, Device:O, information:O, In:O, addition:O, ,:O, the:O, packages:O, offered:O, a:O, feature:O, to:O, perform:O, remote:O, audio:O, recording:O, .:O] </s>
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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: 'Though different versions of the app vary in structure , malicious code was initialized at application launch without the user ’ s knowledge , and a number of timers were setup to gather and upload data periodically .' [/INST] [Though:O, different:O, versions:O, of:O, the:O, app:O, vary:O, in:O, structure:O, ,:O, malicious:O, code:O, was:O, initialized:O, at:O, application:O, launch:O, without:O, the:O, user:O, ’:O, s:O, knowledge:O, ,:O, and:O, a:O, number:O, of:O, timers:O, were:O, setup:O, to:O, gather:O, and:O, upload:O, data:O, periodically:O, .:O] </s>
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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: 'Upload data was queued and transmitted via HTTP PUT requests to an endpoint on the C2 .' [/INST] [Upload:O, data:O, was:O, queued:O, and:O, transmitted:O, via:O, HTTP:B-Indicator, PUT:O, requests:O, to:O, an:O, endpoint:O, on:O, the:O, C2:O, .:O] </s>
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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: 'The iOS apps leverage the same C2 infrastructure as the Android version and use similar communications protocols .' [/INST] [The:O, iOS:B-System, apps:O, leverage:O, the:O, same:O, C2:O, infrastructure:O, as:O, the:O, Android:B-System, version:O, and:O, use:O, similar:O, communications:O, protocols:O, .:O] </s>
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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: 'Push notifications were also used to control audio recording .' [/INST] [Push:O, notifications:O, were:O, also:O, used:O, to:O, control:O, audio:O, recording:O, .:O] </s>
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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: 'Lookout has shared information about this family with Apple , and they have revoked the affected certificates .' [/INST] [Lookout:B-Organization, has:O, shared:O, information:O, about:O, this:O, family:O, with:O, Apple:B-Organization, ,:O, and:O, they:O, have:O, revoked:O, the:O, affected:O, certificates:O, .:O] </s>
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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: 'As a result , no new instances of this app can be installed on iOS devices and existing installations can no longer be run .' [/INST] [As:O, a:O, result:O, ,:O, no:O, new:O, instances:O, of:O, this:O, app:O, can:O, be:O, installed:O, on:O, iOS:B-System, devices:O, and:O, existing:O, installations:O, can:O, no:O, longer:O, be:O, run:O, .:O] </s>
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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: 'Lookout customers are also protected from this threat on both Android and iOS .' [/INST] [Lookout:B-Organization, customers:O, are:O, also:O, protected:O, from:O, this:O, threat:O, on:O, both:O, Android:B-System, and:O, iOS:B-System, .:O] </s>
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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: 'Android Trojan Found in Targeted Attack 26 MAR 2013 In the past , we ’ ve seen targeted attacks against Tibetan and Uyghur activists on Windows and Mac OS X platforms .' [/INST] [Android:B-System, Trojan:O, Found:O, in:O, Targeted:O, Attack:O, 26:O, MAR:O, 2013:O, In:O, the:O, past:O, ,:O, we:O, ’:O, ve:O, seen:O, targeted:O, attacks:O, against:O, Tibetan:O, and:O, Uyghur:O, activists:O, on:O, Windows:B-System, and:O, Mac:B-System, OS:I-System, X:I-System, platforms:O, .:O] </s>
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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: 'We ’ ve documented several interesting attacks ( A Gift for Dalai Lamas Birthday and Cyber Attacks Against Uyghur Mac OS X Users Intensify ) which used ZIP files as well as DOC , XLS and PDF documents rigged with exploits .' [/INST] [We:O, ’:O, ve:O, documented:O, several:O, interesting:O, attacks:O, (:O, A:O, Gift:O, for:O, Dalai:O, Lamas:O, Birthday:O, and:O, Cyber:O, Attacks:O, Against:O, Uyghur:O, Mac:B-System, OS:I-System, X:I-System, Users:O, Intensify:O, ):O, which:O, used:O, ZIP:O, files:O, as:O, well:O, as:O, DOC:O, ,:O, XLS:O, and:O, PDF:O, documents:O, rigged:O, with:O, exploits:O, .:O] </s>
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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: 'Several days ago , the e-mail account of a high-profile Tibetan activist was hacked and used to send targeted attacks to other activists and human rights advocates .' [/INST] [Several:O, days:O, ago:O, ,:O, the:O, e-mail:O, account:O, of:O, a:O, high-profile:O, Tibetan:O, activist:O, was:O, hacked:O, and:O, used:O, to:O, send:O, targeted:O, attacks:O, to:O, other:O, activists:O, and:O, human:O, rights:O, advocates:O, .:O] </s>
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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: 'Perhaps the most interesting part is that the attack e-mails had an APK attachment – a malicious program for Android .' [/INST] [Perhaps:O, the:O, most:O, interesting:O, part:O, is:O, that:O, the:O, attack:O, e-mails:O, had:O, an:O, APK:O, attachment:O, –:O, a:O, malicious:O, program:O, for:O, Android:B-System, .:O] </s>
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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: 'The attack On March 24th , 2013 , the e-mail account of a high-profile Tibetan activist was hacked and used to send spear phishing e-mails to their contact list .' [/INST] [The:O, attack:O, On:O, March:O, 24th:O, ,:O, 2013:O, ,:O, the:O, e-mail:O, account:O, of:O, a:O, high-profile:O, Tibetan:O, activist:O, was:O, hacked:O, and:O, used:O, to:O, send:O, spear:O, phishing:O, e-mails:O, to:O, their:O, contact:O, list:O, .:O] </s>
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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: 'This is what the spear phishing e-mail looked like : In regards to the message text above , multiple activist groups have recently organized a human rights conference event in Geneva .' [/INST] [This:O, is:O, what:O, the:O, spear:O, phishing:O, e-mail:O, looked:O, like:O, ::O, In:O, regards:O, to:O, the:O, message:O, text:O, above:O, ,:O, multiple:O, activist:O, groups:O, have:O, recently:O, organized:O, a:O, human:O, rights:O, conference:O, event:O, in:O, Geneva:O, .:O] </s>
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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: 'We ’ ve noticed an increase in the number of attacks using this event as a lure .' [/INST] [We:O, ’:O, ve:O, noticed:O, an:O, increase:O, in:O, the:O, number:O, of:O, attacks:O, using:O, this:O, event:O, as:O, a:O, lure:O, .:O] </s>
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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: 'Here ’ s another example of such an attack hitting Windows users : Going back to the Android Package ( APK ) file was attached to the e-mail , this is pushing an Android application named “ WUC ’ s Conference.apk ” .' [/INST] [Here:O, ’:O, s:O, another:O, example:O, of:O, such:O, an:O, attack:O, hitting:O, Windows:B-System, users:O, ::O, Going:O, back:O, to:O, the:O, Android:B-System, Package:I-System, (:O, APK:O, ):O, file:O, was:O, attached:O, to:O, the:O, e-mail:O, ,:O, this:O, is:O, pushing:O, an:O, Android:O, application:O, named:O, “:O, WUC:B-Malware, ’:I-Malware, s:I-Malware, Conference.apk:I-Malware, ”:O, .:O] </s>
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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: 'This malicious APK is 334326 bytes file , MD5 : 0b8806b38b52bebfe39ff585639e2ea2 and is detected by Kaspersky Lab products as “ Backdoor.AndroidOS.Chuli.a ” .' [/INST] [This:O, malicious:O, APK:O, is:O, 334326:O, bytes:O, file:O, ,:O, MD5:O, ::O, 0b8806b38b52bebfe39ff585639e2ea2:B-Indicator, and:O, is:O, detected:O, by:O, Kaspersky:B-Organization, Lab:I-Organization, products:O, as:O, “:O, Backdoor.AndroidOS.Chuli.a:B-Indicator, ”:O, .:O] </s>
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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: 'After the installation , an application named “ Conference ” appears on the desktop : If the victim launches this app , he will see text which “ enlightens ” the information about the upcoming event : The full text reads follows .' [/INST] [After:O, the:O, installation:O, ,:O, an:O, application:O, named:O, “:O, Conference:O, ”:O, appears:O, on:O, the:O, desktop:O, ::O, If:O, the:O, victim:O, launches:O, this:O, app:O, ,:O, he:O, will:O, see:O, text:O, which:O, “:O, enlightens:O, ”:O, the:O, information:O, about:O, the:O, upcoming:O, event:O, ::O, The:O, full:O, text:O, reads:O, follows:O, .:O] </s>
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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: 'Notice notice the use of the mistaken “ Word ” instead of “ World ” : “ On behalf of all at the Word Uyghur Congress ( WUC ) , the Unrepresented Nations and Peoples Organization ( UNPO ) and the Society for Threatened Peoples ( STP ) , Human Rights in China : Implications for East Turkestan , Tibet and Southern Mongolia In what was an unprecedented coming-together of leading Uyghur , Mongolian , Tibetan and Chinese activists , as well as other leading international experts , we were greatly humbled' [/INST] [Notice:O, notice:O, the:O, use:O, of:O, the:O, mistaken:O, “:O, Word:O, ”:O, instead:O, of:O, “:O, World:O, ”:O, ::O, “:O, On:O, behalf:O, of:O, all:O, at:O, the:O, Word:B-Organization, Uyghur:I-Organization, Congress:I-Organization, (:I-Organization, WUC:I-Organization, ):I-Organization, ,:O, the:O, Unrepresented:B-Organization, Nations:I-Organization, and:I-Organization, Peoples:I-Organization, Organization:I-Organization, (:I-Organization, UNPO:I-Organization, ):I-Organization, and:O, the:O, Society:B-Organization, for:I-Organization, Threatened:I-Organization, Peoples:I-Organization, (:I-Organization, STP:I-Organization, ):I-Organization, ,:O, Human:O, Rights:O, in:O, China:O, ::O, Implications:O, for:O, East:O, Turkestan:O, ,:O, Tibet:O, and:O, Southern:O, Mongolia:O, In:O, what:O, was:O, an:O, unprecedented:O, coming-together:O, of:O, leading:O, Uyghur:O, ,:O, Mongolian:O, ,:O, Tibetan:O, and:O, Chinese:O, activists:O, ,:O, as:O, well:O, as:O, other:O, leading:O, international:O, experts:O, ,:O, we:O, were:O, greatly:O, humbled:O] </s>
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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: 'by the great enthusiasm , contribution and desire from all in attendance to make this occasion something meaningful , the outcome of which produced some concrete , action-orientated solutions to our shared grievances .' [/INST] [by:O, the:O, great:O, enthusiasm:O, ,:O, contribution:O, and:O, desire:O, from:O, all:O, in:O, attendance:O, to:O, make:O, this:O, occasion:O, something:O, meaningful:O, ,:O, the:O, outcome:O, of:O, which:O, produced:O, some:O, concrete:O, ,:O, action-orientated:O, solutions:O, to:O, our:O, shared:O, grievances:O, .:O] </s>
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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: 'We are especially delighted about the platform and programme of work established in the declaration of the conference , upon which we sincerely hope will be built a strong and resolute working relationship on our shared goals for the future .' [/INST] [We:O, are:O, especially:O, delighted:O, about:O, the:O, platform:O, and:O, programme:O, of:O, work:O, established:O, in:O, the:O, declaration:O, of:O, the:O, conference:O, ,:O, upon:O, which:O, we:O, sincerely:O, hope:O, will:O, be:O, built:O, a:O, strong:O, and:O, resolute:O, working:O, relationship:O, on:O, our:O, shared:O, goals:O, for:O, the:O, future:O, .:O] </s>
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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: 'With this in mind , we thoroughly look forward to working with you on these matters .' [/INST] [With:O, this:O, in:O, mind:O, ,:O, we:O, thoroughly:O, look:O, forward:O, to:O, working:O, with:O, you:O, on:O, these:O, matters:O, .:O] </s>
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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: 'Dolkun lsa Chairman of the Executive Committee Word Uyghur Congress ” While the victim reads this fake message , the malware secretly reports the infection to a command-and-control server .' [/INST] [Dolkun:O, lsa:O, Chairman:O, of:O, the:O, Executive:B-Organization, Committee:I-Organization, Word:I-Organization, Uyghur:I-Organization, Congress:I-Organization, ”:O, While:O, the:O, victim:O, reads:O, this:O, fake:O, message:O, ,:O, the:O, malware:O, secretly:O, reports:O, the:O, infection:O, to:O, a:O, command-and-control:O, server:O, .:O] </s>
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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: 'After that , it begins to harvest information stored on the device .' [/INST] [After:O, that:O, ,:O, it:O, begins:O, to:O, harvest:O, information:O, stored:O, on:O, the:O, device:O, .:O] </s>
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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: 'The stolen data includes : Contacts ( stored both on the phone and the SIM card ) .' [/INST] [The:O, stolen:O, data:O, includes:O, ::O, Contacts:O, (:O, stored:O, both:O, on:O, the:O, phone:O, and:O, the:O, SIM:O, card:O, ):O, .:O] </s>
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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: 'Call logs .' [/INST] [Call:O, logs:O, .:O] </s>
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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: 'SMS messages .' [/INST] [SMS:O, messages:O, .:O] </s>
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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: 'Geo-location .' [/INST] [Geo-location:O, .:O] </s>
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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: 'Phone data ( phone number , OS version , phone model , SDK version ) .' [/INST] [Phone:O, data:O, (:O, phone:O, number:O, ,:O, OS:O, version:O, ,:O, phone:O, model:O, ,:O, SDK:O, version:O, ):O, .:O] </s>
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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: 'It is important to note that the data won ’ t be uploaded to C & C server automatically .' [/INST] [It:O, is:O, important:O, to:O, note:O, that:O, the:O, data:O, won:O, ’:O, t:O, be:O, uploaded:O, to:O, C:O, &:O, C:O, server:O, automatically:O, .:O] </s>
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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: 'The Trojan waits for incoming SMS messages ( the “ alarmReceiver.class ” ) and checks whether these messages contain one of the following commands : “ sms ” , “ contact ” , “ location ” , “ other ” .' [/INST] [The:O, Trojan:O, waits:O, for:O, incoming:O, SMS:O, messages:O, (:O, the:O, “:O, alarmReceiver.class:B-Indicator, ”:O, ):O, and:O, checks:O, whether:O, these:O, messages:O, contain:O, one:O, of:O, the:O, following:O, commands:O, ::O, “:O, sms:O, ”:O, ,:O, “:O, contact:O, ”:O, ,:O, “:O, location:O, ”:O, ,:O, “:O, other:O, ”:O, .:O] </s>
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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: 'If one these commands is found , then the malware will encode the stolen data with Base64 and upload it to the command and control server .' [/INST] [If:O, one:O, these:O, commands:O, is:O, found:O, ,:O, then:O, the:O, malware:O, will:O, encode:O, the:O, stolen:O, data:O, with:O, Base64:O, and:O, upload:O, it:O, to:O, the:O, command:O, and:O, control:O, server:O, .:O] </s>
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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: 'The C2 URL is : hxxp : //64.78.161.133/ * victims ’ s_cell_phone_number * /process.php In addition to this , the malware also reports to another script , “ hxxp : //64.78.161.33/android.php ” .' [/INST] [The:O, C2:O, URL:O, is:O, ::O, hxxp:B-Indicator, ::I-Indicator, //64.78.161.133/:I-Indicator, *:I-Indicator, victims:I-Indicator, ’:I-Indicator, s_cell_phone_number:I-Indicator, *:I-Indicator, /process.php:I-Indicator, In:O, addition:O, to:O, this:O, ,:O, the:O, malware:O, also:O, reports:O, to:O, another:O, script:O, ,:O, “:O, hxxp:B-Indicator, ::I-Indicator, //64.78.161.33/android.php:I-Indicator, ”:O, .:O] </s>
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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: 'First , it will get the “ nativenumber ” variable from the “ telmark ” value of “ AndroidManifest.xml ” .' [/INST] [First:O, ,:O, it:O, will:O, get:O, the:O, “:O, nativenumber:O, ”:O, variable:O, from:O, the:O, “:O, telmark:O, ”:O, value:O, of:O, “:O, AndroidManifest.xml:B-System, ”:O, .:O] </s>
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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: 'This is hardcoded and equals “ phone ” .' [/INST] [This:O, is:O, hardcoded:O, and:O, equals:O, “:O, phone:O, ”:O, .:O] </s>
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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: 'Then , it will add the result of the public method localDate.getTime ( ) , which simply gets the current date .' [/INST] [Then:O, ,:O, it:O, will:O, add:O, the:O, result:O, of:O, the:O, public:O, method:O, localDate.getTime:O, (:O, ):O, ,:O, which:O, simply:O, gets:O, the:O, current:O, date:O, .:O] </s>
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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: 'An example of the string which is sent to the command-and-control would be “ phone 26.03.2013 ” .' [/INST] [An:O, example:O, of:O, the:O, string:O, which:O, is:O, sent:O, to:O, the:O, command-and-control:O, would:O, be:O, “:O, phone:O, 26.03.2013:O, ”:O, .:O] </s>
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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: 'It is interesting that the attackers used Java Base64 library developed by Sauron Software .' [/INST] [It:O, is:O, interesting:O, that:O, the:O, attackers:O, used:O, Java:O, Base64:O, library:O, developed:O, by:O, Sauron:B-Organization, Software:I-Organization, .:O] </s>
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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: 'This software is free and distributed under LGPL license .' [/INST] [This:O, software:O, is:O, free:O, and:O, distributed:O, under:O, LGPL:O, license:O, .:O] </s>
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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: 'Also , command communications with the malware are parsed with a function named “ chuli ( ) ” prior to POSTing stolen data to the command-and-control server .' [/INST] [Also:O, ,:O, command:O, communications:O, with:O, the:O, malware:O, are:O, parsed:O, with:O, a:O, function:O, named:O, “:O, chuli:O, (:O, ):O, ”:O, prior:O, to:O, POSTing:O, stolen:O, data:O, to:O, the:O, command-and-control:O, server:O, .:O] </s>
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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: 'It appears that the attackers are somewhat familiar with the language and mountain-trekking culture of the targets – the meaning of “ chuli ” is “ summit ” : The command-and-control server and parameters can be easily seen in the decompiled source code : Command and control server interaction code Throughout the code , the attackers log all important actions , which include various messages in Chinese .' [/INST] [It:O, appears:O, that:O, the:O, attackers:O, are:O, somewhat:O, familiar:O, with:O, the:O, language:O, and:O, mountain-trekking:O, culture:O, of:O, the:O, targets:O, –:O, the:O, meaning:O, of:O, “:O, chuli:O, ”:O, is:O, “:O, summit:O, ”:O, ::O, The:O, command-and-control:O, server:O, and:O, parameters:O, can:O, be:O, easily:O, seen:O, in:O, the:O, decompiled:O, source:O, code:O, ::O, Command:O, and:O, control:O, server:O, interaction:O, code:O, Throughout:O, the:O, code:O, ,:O, the:O, attackers:O, log:O, all:O, important:O, actions:O, ,:O, which:O, include:O, various:O, messages:O, in:O, Chinese:O, .:O] </s>
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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: 'This was probably done for debugging purposes , indicating the malware may be an early prototype version .' [/INST] [This:O, was:O, probably:O, done:O, for:O, debugging:O, purposes:O, ,:O, indicating:O, the:O, malware:O, may:O, be:O, an:O, early:O, prototype:O, version:O, .:O] </s>
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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: 'Some actions include ( with rough translations ) : The command-and-control server The command-and-control server is located at IP 64.78.161.133 .' [/INST] [Some:O, actions:O, include:O, (:O, with:O, rough:O, translations:O, ):O, ::O, The:O, command-and-control:O, server:O, The:O, command-and-control:O, server:O, is:O, located:O, at:O, IP:O, 64.78.161.133:B-Indicator, .:O] </s>
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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: 'This IP is located in Los Angeles , U.S.A. , at a hosting company named “ Emagine Concept Inc ” .' [/INST] [This:O, IP:O, is:O, located:O, in:O, Los:O, Angeles:O, ,:O, U.S.A.:O, ,:O, at:O, a:O, hosting:O, company:O, named:O, “:O, Emagine:B-Organization, Concept:I-Organization, Inc:I-Organization, ”:O, .:O] </s>
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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: 'Interestingly , there is a domain which used to point there , “ DlmDocumentsExchange.com ” .' [/INST] [Interestingly:O, ,:O, there:O, is:O, a:O, domain:O, which:O, used:O, to:O, point:O, there:O, ,:O, “:O, DlmDocumentsExchange.com:B-Indicator, ”:O, .:O] </s>
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