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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: 'Gooligan then downloads a rootkit from the C & C server that takes advantage of multiple Android 4 and 5 exploits including the well-known VROOT ( CVE-2013-6282 ) and Towelroot ( CVE-2014-3153 ) .' [/INST] [Gooligan:B-Malware, then:O, downloads:O, a:O, rootkit:O, from:O, the:O, C:O, &:O, C:O, server:O, that:O, takes:O, advantage:O, of:O, multiple:O, Android:B-System, 4:I-System, and:I-System, 5:I-System, exploits:O, including:O, the:O, well-known:O, VROOT:B-Vulnerability, (:O, CVE-2013-6282:B-Vulnerability, ):O, and:O, Towelroot:B-Vulnerability, (:O, CVE-2014-3153:B-Vulnerability, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 exploits still plague many devices today because security patches that fix them may not be available for some versions of Android , or the patches were never installed by the user .' [/INST] [These:O, exploits:O, still:O, plague:O, many:O, devices:O, today:O, because:O, security:O, patches:O, that:O, fix:O, them:O, may:O, not:O, be:O, available:O, for:O, some:O, versions:O, of:O, Android:B-System, ,:O, or:O, the:O, patches:O, were:O, never:O, installed:O, by:O, the:O, user:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 rooting is successful , the attacker has full control of the device and can execute privileged commands remotely .' [/INST] [If:O, rooting:O, is:O, successful:O, ,:O, the:O, attacker:O, has:O, full:O, control:O, of:O, the:O, device:O, and:O, can:O, execute:O, privileged:O, commands:O, remotely:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 achieving root access , Gooligan downloads a new , malicious module from the C & C server and installs it on the infected device .' [/INST] [After:O, achieving:O, root:O, access:O, ,:O, Gooligan:B-Malware, downloads:O, a:O, new:O, ,:O, malicious:O, module:O, from:O, the:O, C:O, &:O, C:O, server:O, and:O, installs:O, it: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: 'This module injects code into running Google Play or GMS ( Google Mobile Services ) to mimic user behavior so Gooligan can avoid detection , a technique first seen with the mobile malware HummingBad .' [/INST] [This:O, module:O, injects:O, code:O, into:O, running:O, Google:B-System, Play:I-System, or:O, GMS:B-System, (:I-System, Google:I-System, Mobile:I-System, Services:I-System, ):I-System, to:O, mimic:O, user:O, behavior:O, so:O, Gooligan:B-Malware, can:O, avoid:O, detection:O, ,:O, a:O, technique:O, first:O, seen:O, with:O, the:O, mobile:O, malware:O, HummingBad: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 module allows Gooligan to : Steal a user ’ s Google email account and authentication token information Install apps from Google Play and rate them to raise their reputation Install adware to generate revenue Ad servers , which don ’ t know whether an app using its service is malicious or not , send Gooligan the names of the apps to download from Google Play .' [/INST] [The:O, module:O, allows:O, Gooligan:B-Malware, to:O, ::O, Steal:O, a:O, user:O, ’:O, s:O, Google:B-Organization, email:O, account:O, and:O, authentication:O, token:O, information:O, Install:O, apps:O, from:O, Google:B-System, Play:I-System, and:O, rate:O, them:O, to:O, raise:O, their:O, reputation:O, Install:O, adware:O, to:O, generate:O, revenue:O, Ad:O, servers:O, ,:O, which:O, don:O, ’:O, t:O, know:O, whether:O, an:O, app:O, using:O, its:O, service:O, is:O, malicious:O, or:O, not:O, ,:O, send:O, Gooligan:B-Malware, the:O, names:O, of:O, the:O, apps:O, to:O, download:O, from: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: 'After an app is installed , the ad service pays the attacker .' [/INST] [After:O, an:O, app:O, is:O, installed:O, ,:O, the:O, ad:O, service:O, pays:O, the:O, attacker:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the malware leaves a positive review and a high rating on Google Play using content it receives from the C & C server .' [/INST] [Then:O, the:O, malware:O, leaves:O, a:O, positive:O, review:O, and:O, a:O, high:O, rating:O, on:O, Google:B-System, Play:I-System, using:O, content:O, it:O, receives:O, from:O, the: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: 'Our research team was able to identify several instances of this activity by cross-referencing data from breached devices with Google Play app reviews .' [/INST] [Our:O, research:O, team:O, was:O, able:O, to:O, identify:O, several:O, instances:O, of:O, this:O, activity:O, by:O, cross-referencing:O, data:O, from:O, breached:O, devices:O, with:O, Google:B-System, Play:I-System, app:O, reviews:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 another reminder of why users shouldn ’ t rely on ratings alone to decide whether to trust an app .' [/INST] [This:O, is:O, another:O, reminder:O, of:O, why:O, users:O, shouldn:O, ’:O, t:O, rely:O, on:O, ratings:O, alone:O, to:O, decide:O, whether:O, to:O, trust: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: 'Similar to HummingBad , the malware also fakes device identification information , such as IMEI and IMSI , to download an app twice while seeming like the installation is happening on a different device , thereby doubling the potential revenue .' [/INST] [Similar:O, to:O, HummingBad:B-Malware, ,:O, the:O, malware:O, also:O, fakes:O, device:O, identification:O, information:O, ,:O, such:O, as:O, IMEI:O, and:O, IMSI:O, ,:O, to:O, download:O, an:O, app:O, twice:O, while:O, seeming:O, like:O, the:O, installation:O, is:O, happening:O, on:O, a:O, different:O, device:O, ,:O, thereby:O, doubling:O, the:O, potential:O, revenue:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'What are Google authorization tokens ?' [/INST] [What:O, are:O, Google:B-Organization, authorization:O, tokens:O, ?:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Google authorization token is a way to access the Google account and the related services of a user .' [/INST] [A:O, Google:B-Organization, authorization:O, token:O, is:O, a:O, way:O, to:O, access:O, the:O, Google:B-Organization, account:O, and:O, the:O, related:O, services:O, of:O, a:O, user:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 issued by Google once a user successfully logged into this account .' [/INST] [It:O, is:O, issued:O, by:O, Google:B-Organization, once:O, a:O, user:O, successfully:O, logged:O, into:O, this:O, account:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When an authorization token is stolen by a hacker , they can use this token to access all the Google services related to the user , including Google Play , Gmail , Google Docs , Google Drive , and Google Photos .' [/INST] [When:O, an:O, authorization:O, token:O, is:O, stolen:O, by:O, a:O, hacker:O, ,:O, they:O, can:O, use:O, this:O, token:O, to:O, access:O, all:O, the:O, Google:B-Organization, services:O, related:O, to:O, the:O, user:O, ,:O, including:O, Google:B-System, Play:I-System, ,:O, Gmail:B-System, ,:O, Google:B-System, Docs:I-System, ,:O, Google:B-System, Drive:I-System, ,:O, and:O, Google:B-System, Photos: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: 'While Google implemented multiple mechanisms , like two-factor-authentication , to prevent hackers from compromising Google accounts , a stolen authorization token bypasses this mechanism and allows hackers the desired access as the user is perceived as already logged in .' [/INST] [While:O, Google:B-Organization, implemented:O, multiple:O, mechanisms:O, ,:O, like:O, two-factor-authentication:O, ,:O, to:O, prevent:O, hackers:O, from:O, compromising:O, Google:B-Organization, accounts:O, ,:O, a:O, stolen:O, authorization:O, token:O, bypasses:O, this:O, mechanism:O, and:O, allows:O, hackers:O, the:O, desired:O, access:O, as:O, the:O, user:O, is:O, perceived:O, as:O, already:O, logged:O, in:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Conclusion Gooligan has breached over a million Google accounts .' [/INST] [Conclusion:O, Gooligan:B-Malware, has:O, breached:O, over:O, a:O, million:O, Google:B-Organization, accounts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We believe that it is the largest Google account breach to date , and we are working with Google to continue the investigation .' [/INST] [We:O, believe:O, that:O, it:O, is:O, the:O, largest:O, Google:B-Malware, account:O, breach:O, to:O, date:O, ,:O, and:O, we:O, are:O, working:O, with:O, Google:B-Organization, to:O, continue:O, the:O, investigation:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 encourage Android users to validate whether their accounts have been breached .' [/INST] [We:O, encourage:O, Android:B-System, users:O, to:O, validate:O, whether:O, their:O, accounts:O, have:O, been:O, breached:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Hacking Team Spying Tool Listens to Calls By : Trend Micro July 21 , 2015 Following news that iOS devices are at risk of spyware related to the Hacking Team , the saga continues into the Android sphere .' [/INST] [Hacking:B-Organization, Team:I-Organization, Spying:O, Tool:O, Listens:O, to:O, Calls:O, By:O, ::O, Trend:B-Organization, Micro:I-Organization, July:O, 21:O, ,:O, 2015:O, Following:O, news:O, that:O, iOS:B-System, devices:O, are:O, at:O, risk:O, of:O, spyware:O, related:O, to:O, the:O, Hacking:B-Organization, Team:I-Organization, ,:O, the:O, saga:O, continues:O, into:O, the:O, Android:B-System, sphere:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 that among the leaked files is the code for Hacking Team ’ s open-source malware suite RCSAndroid ( Remote Control System Android ) , which was sold by the company as a tool for monitoring targets .' [/INST] [We:O, found:O, that:O, among:O, the:O, leaked:O, files:O, is:O, the:O, code:O, for:O, Hacking:O, Team:O, ’:O, s:O, open-source:O, malware:O, suite:O, RCSAndroid:B-Malware, (:O, Remote:B-Malware, Control:I-Malware, System:I-Malware, Android:I-Malware, ):O, ,:O, which:O, was:O, sold:O, by:O, the:O, company:O, as:O, a:O, tool:O, for:O, monitoring:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '( Researchers have been aware of this suite as early as 2014 .' [/INST] [(:O, Researchers:O, have:O, been:O, aware:O, of:O, this:O, suite:O, as:O, early:O, as: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: ') The RCSAndroid code can be considered one of the most professionally developed and sophisticated Android malware ever exposed .' [/INST] [):O, The:O, RCSAndroid:B-Malware, code:O, can:O, be:O, considered:O, one:O, of:O, the:O, most:O, professionally:O, developed:O, and:O, sophisticated:O, Android:B-System, malware:O, ever:O, exposed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 leak of its code provides cybercriminals with a new weaponized resource for enhancing their surveillance operations .' [/INST] [The:O, leak:O, of:O, its:O, code:O, provides:O, cybercriminals:O, with:O, a:O, new:O, weaponized:O, resource:O, for:O, enhancing:O, their:O, surveillance:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the leaked code , the RCSAndroid app can do the following intrusive routines to spy on targets : Capture screenshots using the “ screencap ” command and framebuffer direct reading Monitor clipboard content Collect passwords for Wi-Fi networks and online acco ; .unts , including Skype , Facebook , Twitter , Google , WhatsApp , Mail , and LinkedIn Record using the microphone Collect SMS , MMS , and Gmail messages Record location Gather device information Capture photos using the front and back cameras Collect contacts and decode' [/INST] [Based:O, on:O, the:O, leaked:O, code:O, ,:O, the:O, RCSAndroid:B-Malware, app:O, can:O, do:O, the:O, following:O, intrusive:O, routines:O, to:O, spy:O, on:O, targets:O, ::O, Capture:O, screenshots:O, using:O, the:O, “:O, screencap:O, ”:O, command:O, and:O, framebuffer:O, direct:O, reading:O, Monitor:O, clipboard:O, content:O, Collect:O, passwords:O, for:O, Wi-Fi:O, networks:O, and:O, online:O, acco:O, ;:O, .unts:O, ,:O, including:O, Skype:B-System, ,:O, Facebook:B-System, ,:O, Twitter:B-System, ,:O, Google:B-System, ,:O, WhatsApp:B-System, ,:O, Mail:B-System, ,:O, and:O, LinkedIn:B-System, Record:O, using:O, the:O, microphone:O, Collect:O, SMS:O, ,:O, MMS:O, ,:O, and:O, Gmail:B-System, messages:O, Record:O, location:O, Gather:O, device:O, information:O, Capture:O, photos:O, using:O, the:O, front:O, and:O, back:O, cameras:O, Collect:O, contacts:O, and:O, decode:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'messages from IM accounts , including Facebook Messenger , WhatsApp , Skype , Viber , Line , WeChat , Hangouts , Telegram , and BlackBerry Messenger .' [/INST] [messages:O, from:O, IM:O, accounts:O, ,:O, including:O, Facebook:B-System, Messenger:I-System, ,:O, WhatsApp:B-System, ,:O, Skype:B-System, ,:O, Viber:B-System, ,:O, Line:B-System, ,:O, WeChat:B-System, ,:O, Hangouts:B-System, ,:O, Telegram:B-System, ,:O, and:O, BlackBerry:B-System, Messenger: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: 'Capture real-time voice calls in any network or app by hooking into the “ mediaserver ” system service RCSAndroid in the Wild Our analysis reveals that this RCSAndroid ( AndroidOS_RCSAgent.HRX ) has been in the wild since 2012 .' [/INST] [Capture:O, real-time:O, voice:O, calls:O, in:O, any:O, network:O, or:O, app:O, by:O, hooking:O, into:O, the:O, “:O, mediaserver:O, ”:O, system:O, service:O, RCSAndroid:B-Malware, in:O, the:O, Wild:O, Our:O, analysis:O, reveals:O, that:O, this:O, RCSAndroid:B-Malware, (:O, AndroidOS_RCSAgent.HRX:B-Indicator, ):O, has:O, been:O, in:O, the:O, wild:O, since:O, 2012:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Traces of its previous uses in the wild were found inside the configuration file : It was configured to use a Command-and-control ( C & C ) server in the United States ; however , the server was bought from a host service provider and is now unavailable .' [/INST] [Traces:O, of:O, its:O, previous:O, uses:O, in:O, the:O, wild:O, were:O, found:O, inside:O, the:O, configuration:O, file:O, ::O, It:O, was:O, configured:O, to:O, use:O, a:O, Command-and-control:O, (:O, C:O, &:O, C:O, ):O, server:O, in:O, the:O, United:O, States:O, ;:O, however:O, ,:O, the:O, server:O, was:O, bought:O, from:O, a:O, host:O, service:O, provider:O, and:O, is:O, now:O, unavailable:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 was configured to activate via SMS sent from a Czech Republic number .' [/INST] [It:O, was:O, configured:O, to:O, activate:O, via:O, SMS:O, sent:O, from:O, a:O, Czech:O, Republic: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: 'Attackers can send SMS with certain messages to activate the agent and trigger corresponding action .' [/INST] [Attackers:O, can:O, send:O, SMS:O, with:O, certain:O, messages:O, to:O, activate:O, the:O, agent:O, and:O, trigger:O, corresponding:O, action:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 can also define what kind of evidences to collect .' [/INST] [This:O, can:O, also:O, define:O, what:O, kind:O, of:O, evidences:O, to:O, collect:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 emails leaked in the dump , a number of Czech firms appear to be in business with the Hacking team , including a major IT partner in the Olympic Games .' [/INST] [Based:O, on:O, emails:O, leaked:O, in:O, the:O, dump:O, ,:O, a:O, number:O, of:O, Czech:O, firms:O, appear:O, to:O, be:O, in:O, business:O, with:O, the:O, Hacking:O, team:O, ,:O, including:O, a:O, major:O, IT:O, partner:O, in:O, the:O, Olympic:O, Games:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dropping Cluster Bombs RCSAndroid is a threat that works like a cluster bomb in that it deploys multiple dangerous exploits and uses various techniques to easily infect Android devices .' [/INST] [Dropping:O, Cluster:O, Bombs:O, RCSAndroid:B-Malware, is:O, a:O, threat:O, that:O, works:O, like:O, a:O, cluster:O, bomb:O, in:O, that:O, it:O, deploys:O, multiple:O, dangerous:O, exploits:O, and:O, uses:O, various:O, techniques:O, to:O, easily:O, infect:O, Android:B-System, devices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While analyzing the code , we found that the whole system consists of four critical components , as follows : penetration solutions , ways to get inside the device , either via SMS/email or a legitimate app low-level native code , advanced exploits and spy tools beyond Android ’ s security framework high-level Java agent – the app ’ s malicious APK command-and-control ( C & C ) servers , used to remotely send/receive malicious commands Attackers use two methods to get targets to download RCSAndroid .' [/INST] [While:O, analyzing:O, the:O, code:O, ,:O, we:O, found:O, that:O, the:O, whole:O, system:O, consists:O, of:O, four:O, critical:O, components:O, ,:O, as:O, follows:O, ::O, penetration:O, solutions:O, ,:O, ways:O, to:O, get:O, inside:O, the:O, device:O, ,:O, either:O, via:O, SMS/email:O, or:O, a:O, legitimate:O, app:O, low-level:O, native:O, code:O, ,:O, advanced:O, exploits:O, and:O, spy:O, tools:O, beyond:O, Android:B-System, ’:O, s:O, security:O, framework:O, high-level:O, Java:O, agent:O, –:O, the:O, app:O, ’:O, s:O, malicious:O, APK:O, command-and-control:O, (:O, C:O, &:O, C:O, ):O, servers:O, ,:O, used:O, to:O, remotely:O, send/receive:O, malicious:O, commands:O, Attackers:O, use:O, two:O, methods:O, to:O, get:O, targets:O, to:O, download:O, RCSAndroid: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 first method is to send a specially crafted URL to the target via SMS or email .' [/INST] [The:O, first:O, method:O, is:O, to:O, send:O, a:O, specially:O, crafted:O, URL:O, to:O, the:O, target:O, via:O, SMS:O, or:O, email:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 URL will trigger exploits for arbitrary memory read ( CVE-2012-2825 ) and heap buffer overflow ( CVE-2012-2871 ) vulnerabilities in the default browsers of Android versions 4.0 Ice Cream Sandwich to 4.3 Jelly Bean , allowing another local privilege escalation exploit to execute .' [/INST] [The:O, URL:O, will:O, trigger:O, exploits:O, for:O, arbitrary:B-Vulnerability, memory:I-Vulnerability, read:I-Vulnerability, (:I-Vulnerability, CVE-2012-2825:I-Vulnerability, ):I-Vulnerability, and:O, heap:B-Vulnerability, buffer:I-Vulnerability, overflow:I-Vulnerability, (:I-Vulnerability, CVE-2012-2871:I-Vulnerability, ):I-Vulnerability, vulnerabilities:O, in:O, the:O, default:O, browsers:O, of:O, Android:B-System, versions:I-System, 4.0:I-System, Ice:I-System, Cream:I-System, Sandwich:I-System, to:O, 4.3:B-System, Jelly:I-System, Bean:I-System, ,:O, allowing:O, another:O, local:O, privilege:O, escalation:O, exploit:O, to:O, execute:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 root privilege is gained , a shell backdoor and malicious RCSAndroid agent APK file will be installed The second method is to use a stealthy backdoor app such as ANDROIDOS_HTBENEWS.A , which was designed to bypass Google Play .' [/INST] [When:O, root:O, privilege:O, is:O, gained:O, ,:O, a:O, shell:O, backdoor:O, and:O, malicious:O, RCSAndroid:B-Malware, agent:O, APK:O, file:O, will:O, be:O, installed:O, The:O, second:O, method:O, is:O, to:O, use:O, a:O, stealthy:O, backdoor:O, app:O, such:O, as:O, ANDROIDOS_HTBENEWS.A:B-Malware, ,:O, which:O, was:O, designed:O, to:O, bypass: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: 'The role of ANDROIDOS_HTBENEWS.A and the malicious APK mentioned in the first method is to exploit a local privilege escalation vulnerability in Android devices .' [/INST] [The:O, role:O, of:O, ANDROIDOS_HTBENEWS.A:B-Malware, and:O, the:O, malicious:O, APK:O, mentioned:O, in:O, the:O, first:O, method:O, is:O, to:O, exploit:O, a:O, local:B-Vulnerability, privilege:I-Vulnerability, escalation:I-Vulnerability, vulnerability:I-Vulnerability, in:O, Android:O, devices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Hacking Team has been known to use both CVE-2014-3153 and CVE-2013-6282 in their attacks .' [/INST] [Hacking:O, Team:O, has:O, been:O, known:O, to:O, use:O, both:O, CVE-2014-3153:B-Vulnerability, and:O, CVE-2013-6282:B-Vulnerability, in:O, their:O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 said exploits will root the device and install a shell backdoor .' [/INST] [The:O, said:O, exploits:O, will:O, root:O, the:O, device:O, and:O, install:O, a:O, shell:O, backdoor:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 shell backdoor then installs the RCSAndroid agent .' [/INST] [The:O, shell:O, backdoor:O, then:O, installs:O, the:O, RCSAndroid:B-Malware, agent:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 agent has two core modules , the Evidence Collector and the Event Action Trigger .' [/INST] [This:O, agent:O, has:O, two:O, core:O, modules:O, ,:O, the:O, Evidence:O, Collector:O, and:O, the:O, Event:O, Action:O, Trigger:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Evidence Collector module is responsible for the spying routines outlined above .' [/INST] [The:O, Evidence:O, Collector:O, module:O, is:O, responsible:O, for:O, the:O, spying:O, routines:O, outlined:O, above:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 its most notable routines is capturing voice calls in real time by hooking into the “ mediaserver ” system service .' [/INST] [One:O, of:O, its:O, most:O, notable:O, routines:O, is:O, capturing:O, voice:O, calls:O, in:O, real:O, time:O, by:O, hooking:O, into:O, the:O, “:O, mediaserver:O, ”:O, system: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 basic idea is to hook the voice call process in mediaserver .' [/INST] [The:O, basic:O, idea:O, is:O, to:O, hook:O, the:O, voice:O, call:O, process:O, in:O, mediaserver:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Take voice call playback process for example .' [/INST] [Take:O, voice:O, call:O, playback:O, process:O, for:O, example:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 mediaserver will first builds a new unique track , start to play the track , loop play all audio buffer , then finally stop the playback .' [/INST] [The:O, mediaserver:O, will:O, first:O, builds:O, a:O, new:O, unique:O, track:O, ,:O, start:O, to:O, play:O, the:O, track:O, ,:O, loop:O, play:O, all:O, audio:O, buffer:O, ,:O, then:O, finally:O, stop:O, the:O, playback:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 raw wave audio buffer frame can be dumped in the getNextBuffer ( ) function .' [/INST] [The:O, raw:O, wave:O, audio:O, buffer:O, frame:O, can:O, be:O, dumped:O, in:O, the:O, getNextBuffer:O, (:O, ):O, function:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With the help of the open-source Android Dynamic Binary Instrumentation Toolkit and root privilege , it is possible to intercept any function execution .' [/INST] [With:O, the:O, help:O, of:O, the:O, open-source:O, Android:B-System, Dynamic:O, Binary:O, Instrumentation:O, Toolkit:O, and:O, root:O, privilege:O, ,:O, it:O, is:O, possible:O, to:O, intercept:O, any:O, function:O, execution:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Event Action Trigger module triggers malicious actions based on certain events .' [/INST] [The:O, Event:O, Action:O, Trigger:O, module:O, triggers:O, malicious:O, actions:O, based:O, on:O, certain:O, events:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 events can be based on time , charging or battery status , location , connectivity , running apps , focused app , SIM card status , SMS received with keywords , and screen turning on .' [/INST] [These:O, events:O, can:O, be:O, based:O, on:O, time:O, ,:O, charging:O, or:O, battery:O, status:O, ,:O, location:O, ,:O, connectivity:O, ,:O, running:O, apps:O, ,:O, focused:O, app:O, ,:O, SIM:O, card:O, status:O, ,:O, SMS:O, received:O, with:O, keywords:O, ,:O, and:O, screen:O, turning:O, on:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to the configuration pattern , these actions are registered to certain events : Sync configuration data , upgrade modules , and download new payload ( This uses transport protocol ZProtocol encrypted by AES/CBC/PKCS5Padding algorithm to communicate with the C & C server .' [/INST] [According:O, to:O, the:O, configuration:O, pattern:O, ,:O, these:O, actions:O, are:O, registered:O, to:O, certain:O, events:O, ::O, Sync:O, configuration:O, data:O, ,:O, upgrade:O, modules:O, ,:O, and:O, download:O, new:O, payload:O, (:O, This:O, uses:O, transport:O, protocol:O, ZProtocol:O, encrypted:O, by:O, AES/CBC/PKCS5Padding:O, algorithm:O, to:O, communicate:O, with:O, the: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: ') Upload and purge collected evidence Destroy device by resetting locking password Execute shell commands Send SMS with defined content or location Disable network Disable root Uninstall bot To avoid detection and removal of the agent app in the device memory , the RCSAndroid suite also detects emulators or sandboxes , obfuscates code using DexGuard , uses ELF string obfuscator , and adjusts the OOM ( out-of-memory ) value .' [/INST] [):O, Upload:O, and:O, purge:O, collected:O, evidence:O, Destroy:O, device:O, by:O, resetting:O, locking:O, password:O, Execute:O, shell:O, commands:O, Send:O, SMS:O, with:O, defined:O, content:O, or:O, location:O, Disable:O, network:O, Disable:O, root:O, Uninstall:O, bot:O, To:O, avoid:O, detection:O, and:O, removal:O, of:O, the:O, agent:O, app:O, in:O, the:O, device:O, memory:O, ,:O, the:O, RCSAndroid:B-Malware, suite:O, also:O, detects:O, emulators:O, or:O, sandboxes:O, ,:O, obfuscates:O, code:O, using:O, DexGuard:B-System, ,:O, uses:O, ELF:O, string:O, obfuscator:O, ,:O, and:O, adjusts:O, the:O, OOM:O, (:O, out-of-memory:O, ):O, value:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Interestingly , one unused feature of the app is its ability to manipulate data in the Android package manager to add and remove permissions and components as well as hide the app icon .' [/INST] [Interestingly:O, ,:O, one:O, unused:O, feature:O, of:O, the:O, app:O, is:O, its:O, ability:O, to:O, manipulate:O, data:O, in:O, the:O, Android:B-System, package:O, manager:O, to:O, add:O, and:O, remove:O, permissions:O, and:O, components:O, as:O, well:O, as:O, hide:O, the:O, app:O, icon:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Recommendations Popular mobile platforms like Android are common targets for organized or commercialized monitoring operations .' [/INST] [Recommendations:O, Popular:O, mobile:O, platforms:O, like:O, Android:B-System, are:O, common:O, targets:O, for:O, organized:O, or:O, commercialized:O, monitoring:O, operations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attackers know that rooting devices via malware exploits is an effective means to control devices and gather information from them .' [/INST] [Attackers:O, know:O, that:O, rooting:O, devices:O, via:O, malware:O, exploits:O, is:O, an:O, effective:O, means:O, to:O, control:O, devices:O, and:O, gather:O, information:O, from:O, them:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In a root broken device , security is a fairy tale .' [/INST] [In:O, a:O, root:O, broken:O, device:O, ,:O, security:O, is:O, a:O, fairy:O, tale:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Take note of the following best practices to prevent this threat from getting in your device : Disable app installations from unknown , third-party sources .' [/INST] [Take:O, note:O, of:O, the:O, following:O, best:O, practices:O, to:O, prevent:O, this:O, threat:O, from:O, getting:O, in:O, your:O, device:O, ::O, Disable:O, app:O, installations:O, from:O, unknown:O, ,:O, third-party:O, sources:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Constantly update your Android devices to the latest version to help prevent exploits , especially in the case of RCSAndroid which can affect only up to version 4.4.4 KitKat .' [/INST] [Constantly:O, update:O, your:O, Android:B-System, devices:O, to:O, the:O, latest:O, version:O, to:O, help:O, prevent:O, exploits:O, ,:O, especially:O, in:O, the:O, case:O, of:O, RCSAndroid:B-Malware, which:O, can:O, affect:O, only:O, up:O, to:O, version:O, 4.4.4:B-System, KitKat: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: 'Note , however , that based on the leak mail from a customer inquiry , Hacking Team was in the process of developing exploits for Android 5.0 Lollipop .' [/INST] [Note:O, ,:O, however:O, ,:O, that:O, based:O, on:O, the:O, leak:O, mail:O, from:O, a:O, customer:O, inquiry:O, ,:O, Hacking:B-Organization, Team:I-Organization, was:O, in:O, the:O, process:O, of:O, developing:O, exploits:O, for:O, Android:B-System, 5.0:I-System, Lollipop: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: 'Install a mobile security solution to secure your device from threats .' [/INST] [Install:O, a:O, mobile:O, security:O, solution:O, to:O, secure:O, your:O, device:O, from:O, threats:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 leaked RCSAndroid code is a commercial weapon now in the wild .' [/INST] [The:O, leaked:O, RCSAndroid:B-Malware, code:I-Malware, is:O, a:O, commercial:O, weapon:O, now:O, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Mobile users are called on to be on top of this news and be on guard for signs of monitoring .' [/INST] [Mobile:O, users:O, are:O, called:O, on:O, to:O, be:O, on:O, top:O, of:O, this:O, news:O, and:O, be:O, on:O, guard:O, for:O, signs:O, of:O, monitoring:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 indicators may come in the form of peculiar behavior such as unexpected rebooting , finding unfamiliar apps installed , or instant messaging apps suddenly freezing .' [/INST] [Some:O, indicators:O, may:O, come:O, in:O, the:O, form:O, of:O, peculiar:O, behavior:O, such:O, as:O, unexpected:O, rebooting:O, ,:O, finding:O, unfamiliar:O, apps:O, installed:O, ,:O, or:O, instant:O, messaging:O, apps:O, suddenly:O, freezing:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Should a device become infected , this backdoor can not be removed without root privilege .' [/INST] [Should:O, a:O, device:O, become:O, infected:O, ,:O, this:O, backdoor:O, can:O, not:O, be:O, removed:O, without:O, root:O, privilege:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Users may be required the help of their device manufacturer to get support for firmware flashing .' [/INST] [Users:O, may:O, be:O, required:O, the:O, help:O, of:O, their:O, device:O, manufacturer:O, to:O, get:O, support:O, for:O, firmware:O, flashing:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trend Micro offers security for Android mobile devices through Mobile Security for Android™ to protect against these types of attacks .' [/INST] [Trend:B-Organization, Micro:I-Organization, offers:O, security:O, for:O, Android:B-System, mobile:O, devices:O, through:O, Mobile:B-System, Security:I-System, for:I-System, Android™:I-System, to:O, protect:O, against:O, these:O, types:O, of:O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Find out more about the 7 Android Security Hacks You Need to Do Right Now to keep your mobile data safe .' [/INST] [Find:O, out:O, more:O, about:O, the:O, 7:O, Android:B-System, Security:O, Hacks:O, You:O, Need:O, to:O, Do:O, Right:O, Now:O, to:O, keep:O, your:O, mobile:O, data:O, safe:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 as of July 23 , 2015 1:00 AM PDT ( UTC-7 ) We have added a link to a previous report discussing this threat .' [/INST] [Update:O, as:O, of:O, July:O, 23:O, ,:O, 2015:O, 1:00:O, AM:O, PDT:O, (:O, UTC-7:O, ):O, We:O, have:O, added:O, a:O, link:O, to:O, a:O, previous:O, report:O, discussing:O, this:O, threat:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Timeline of posts related to the Hacking Team DATE UPDATE July 5 The Italian company Hacking Team was hacked , with more than 400GB of confidential company data made available to the public .' [/INST] [Timeline:O, of:O, posts:O, related:O, to:O, the:O, Hacking:O, Team:O, DATE:O, UPDATE:O, July:O, 5:O, The:O, Italian:O, company:O, Hacking:B-Organization, Team:I-Organization, was:O, hacked:O, ,:O, with:O, more:O, than:O, 400GB:O, of:O, confidential:O, company:O, data:O, made:O, available:O, to:O, the:O, public:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'July 7 Three exploits – two for Flash Player and one for the Windows kernel—were initially found in the information dump .' [/INST] [July:O, 7:O, Three:O, exploits:O, –:O, two:O, for:O, Flash:B-System, Player:I-System, and:O, one:O, for:O, the:O, Windows:B-System, kernel—were:O, initially:O, found:O, in:O, the:O, information:O, dump:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 these [ CVE-2015-5119 ] was a Flash zero-day .' [/INST] [One:O, of:O, these:O, [:O, CVE-2015-5119:B-Vulnerability, ]:O, was:O, a:O, Flash:O, zero-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: 'The Windows kernel vulnerability ( CVE-2015-2387 ) existed in the open type font manager module ( ATMFD.dll ) and can be exploited to bypass the sandbox mitigation mechanism .' [/INST] [The:O, Windows:B-Vulnerability, kernel:I-Vulnerability, vulnerability:I-Vulnerability, (:O, CVE-2015-2387:B-Vulnerability, ):O, existed:O, in:O, the:O, open:O, type:O, font:O, manager:O, module:O, (:O, ATMFD.dll:B-Indicator, ):O, and:O, can:O, be:O, exploited:O, to:O, bypass:O, the:O, sandbox:O, mitigation:O, mechanism:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Flash zero-day exploit ( CVE-2015-5119 ) was added into the Angler Exploit Kit and Nuclear Exploit Pack .' [/INST] [The:O, Flash:B-System, zero-day:O, exploit:O, (:O, CVE-2015-5119:B-Vulnerability, ):O, was:O, added:O, into:O, the:O, Angler:B-Malware, Exploit:I-Malware, Kit:I-Malware, and:O, Nuclear:B-Malware, Exploit:I-Malware, Pack: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: 'It was also used in limited attacks in Korea and Japan .' [/INST] [It:O, was:O, also:O, used:O, in:O, limited:O, attacks:O, in:O, Korea:O, and:O, Japan:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'July 11 Two new Flash zero-day vulnerabilities , CVE-2015-5122 and CVE-2015-5123 , were found in the hacking team dump .' [/INST] [July:O, 11:O, Two:O, new:O, Flash:B-Vulnerability, zero-day:I-Vulnerability, vulnerabilities:I-Vulnerability, ,:O, CVE-2015-5122:B-Vulnerability, and:O, CVE-2015-5123:B-Vulnerability, ,:O, were:O, found:O, in:O, the:O, hacking:O, team:O, dump:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'July 13 Further analysis of the hacking team dump revealed that the company used UEFI BIOS rootkit to keep their Remote Control System ( RCS ) agent installed in their targets ’ systems .' [/INST] [July:O, 13:O, Further:O, analysis:O, of:O, the:O, hacking:O, team:O, dump:O, revealed:O, that:O, the:O, company:O, used:O, UEFI:B-Malware, BIOS:I-Malware, rootkit:I-Malware, to:O, keep:O, their:O, Remote:B-Malware, Control:I-Malware, System:I-Malware, (:I-Malware, RCS:I-Malware, ):I-Malware, agent:O, installed:O, in:O, their:O, targets:O, ’:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'July 14 A new zero-day vulnerability ( CVE-2015-2425 ) was found in Internet Explorer .' [/INST] [July:O, 14:O, A:O, new:O, zero-day:B-Vulnerability, vulnerability:I-Vulnerability, (:O, CVE-2015-2425:B-Vulnerability, ):O, was:O, found:O, in:O, Internet:B-System, Explorer: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: 'July 16 On the mobile front , a fake news app designed to bypass Google Play was discovered .' [/INST] [July:O, 16:O, On:O, the:O, mobile:O, front:O, ,:O, a:O, fake:O, news:O, app:O, designed:O, to:O, bypass:O, Google:B-System, Play:I-System, was:O, discovered:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'July 20 A new zero-day vulnerability ( CVE-2015-2426 ) was found in Windows , which Microsoft fixed in an out-of-band patch .' [/INST] [July:O, 20:O, A:O, new:O, zero-day:B-Vulnerability, vulnerability:I-Vulnerability, (:O, CVE-2015-2426:B-Vulnerability, ):O, was:O, found:O, in:O, Windows:B-System, ,:O, which:O, Microsoft:B-Organization, fixed:O, in:O, an:O, out-of-band:O, patch:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'July 21 Analysis of the RCSAndroid spying tool revealed that Hacking Team can listen to calls and roots devices to get in .' [/INST] [July:O, 21:O, Analysis:O, of:O, the:O, RCSAndroid:B-Malware, spying:O, tool:O, revealed:O, that:O, Hacking:O, Team:O, can:O, listen:O, to:O, calls:O, and:O, roots:O, devices:O, to:O, get:O, in:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'July 28 A recent campaign compromised Taiwan and Hong Kong sites to deliver Flash exploits related to Hacking Team .' [/INST] [July:O, 28:O, A:O, recent:O, campaign:O, compromised:O, Taiwan:O, and:O, Hong:O, Kong:O, sites:O, to:O, deliver:O, Flash:B-System, exploits:O, related:O, to:O, Hacking:B-Organization, Team:I-Organization, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 users warned of malware attack spreading via SMS FEB 16 , 2016 Security researchers are warning owners of Android smartphones about a new malware attack , spreading via SMS text messages .' [/INST] [Android:B-System, users:O, warned:O, of:O, malware:O, attack:O, spreading:O, via:O, SMS:O, FEB:O, 16:O, ,:O, 2016:O, Security:O, researchers:O, are:O, warning:O, owners:O, of:O, Android:B-System, smartphones:O, about:O, a:O, new:O, malware:O, attack:O, ,:O, spreading:O, via:O, SMS:O, text: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: 'As the team at Scandinavian security group CSIS describes , malware known as MazarBOT is being distributed via SMS in Denmark and is likely to also be encountered in other countries .' [/INST] [As:O, the:O, team:O, at:O, Scandinavian:O, security:O, group:O, CSIS:B-Organization, describes:O, ,:O, malware:O, known:O, as:O, MazarBOT:B-Malware, is:O, being:O, distributed:O, via:O, SMS:O, in:O, Denmark:O, and:O, is:O, likely:O, to:O, also:O, be:O, encountered:O, in:O, other:O, countries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Victims ’ first encounter with the malware reportedly comes via an unsolicited text message that their Android smartphone receives .' [/INST] [Victims:O, ’:O, first:O, encounter:O, with:O, the:O, malware:O, reportedly:O, comes:O, via:O, an:O, unsolicited:O, text:O, message:O, that:O, their:O, Android:B-System, smartphone:I-System, receives:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 txt message uses social engineering to dupe unsuspecting users into clicking on a link to a downloadable Android application .' [/INST] [The:O, txt:O, message:O, uses:O, social:O, engineering:O, to:O, dupe:O, unsuspecting:O, users:O, into:O, clicking:O, on:O, a:O, link:O, to:O, a:O, downloadable:O, Android:B-System, application:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CSIS provided a ( sanitised ) version of a typical message to warn users what to look out for : “ You have received a multimedia message from + [ country code ] [ sender number ] Follow the link http : //www.mmsforyou [ .' [/INST] [CSIS:B-Organization, provided:O, a:O, (:O, sanitised:O, ):O, version:O, of:O, a:O, typical:O, message:O, to:O, warn:O, users:O, what:O, to:O, look:O, out:O, for:O, ::O, “:O, You:O, have:O, received:O, a:O, multimedia:O, message:O, from:O, +:O, [:O, country:O, code:O, ]:O, [:O, sender:O, number:O, ]:O, Follow:O, the:O, link:O, http:B-Indicator, ::I-Indicator, //www.mmsforyou:I-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/mms.apk to view the message ” Once the APK package is downloaded , potential victims are urged to grant the malicious app a wide range of permissions on their Android device : App permissions SEND_SMS RECEIVE_BOOT_COMPLETED INTERNET SYSTEM_ALERT_WINDOW WRITE_SMS ACCESS_NETWORK_STATE WAKE_LOCK GET_TASKS CALL_PHONE RECEIVE_SMS READ_PHONE_STATE READ_SMS ERASE_PHONE Once installed , MazarBOT downloads a copy of' [/INST] []:I-Indicator, net/mms.apk:I-Indicator, to:O, view:O, the:O, message:O, ”:O, Once:O, the:O, APK:O, package:O, is:O, downloaded:O, ,:O, potential:O, victims:O, are:O, urged:O, to:O, grant:O, the:O, malicious:O, app:O, a:O, wide:O, range:O, of:O, permissions:O, on:O, their:O, Android:O, device:O, ::O, App:O, permissions:O, SEND_SMS:O, RECEIVE_BOOT_COMPLETED:O, INTERNET:O, SYSTEM_ALERT_WINDOW:O, WRITE_SMS:O, ACCESS_NETWORK_STATE:O, WAKE_LOCK:O, GET_TASKS:O, CALL_PHONE:O, RECEIVE_SMS:O, READ_PHONE_STATE:O, READ_SMS:O, ERASE_PHONE:O, Once:O, installed:O, ,:O, MazarBOT:B-Malware, downloads:O, a:O, copy:O, of:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Tor onto users ’ Android smartphones and uses it to connect anonymously to the net before sending a text message containing the victim ’ s location to an Iranian mobile phone number .' [/INST] [Tor:B-System, onto:O, users:O, ’:O, Android:B-System, smartphones:O, and:O, uses:O, it:O, to:O, connect:O, anonymously:O, to:O, the:O, net:O, before:O, sending:O, a:O, text:O, message:O, containing:O, the:O, victim:O, ’:O, s:O, location:O, to:O, an:O, Iranian:O, mobile:O, phone: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: 'With the malware now in place , a number of actions can be performed , including allowing attackers to secretly monitor and control smartphones via a backdoor , send messages to premium-rate numbers , and intercept two-factor authentication codes sent by online banking apps and the like .' [/INST] [With:O, the:O, malware:O, now:O, in:O, place:O, ,:O, a:O, number:O, of:O, actions:O, can:O, be:O, performed:O, ,:O, including:O, allowing:O, attackers:O, to:O, secretly:O, monitor:O, and:O, control:O, smartphones:O, via:O, a:O, backdoor:O, ,:O, send:O, messages:O, to:O, premium-rate:O, numbers:O, ,:O, and:O, intercept:O, two-factor:O, authentication:O, codes:O, sent:O, by:O, online:O, banking:O, apps:O, and:O, the:O, like:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 fact , with full access to the compromised Android smartphone , the opportunities for criminals to wreak havoc are significant – such as erasing infected phones or launching man-in-the-middle ( MITM ) attacks .' [/INST] [In:O, fact:O, ,:O, with:O, full:O, access:O, to:O, the:O, compromised:O, Android:B-System, smartphone:I-System, ,:O, the:O, opportunities:O, for:O, criminals:O, to:O, wreak:O, havoc:O, are:O, significant:O, –:O, such:O, as:O, erasing:O, infected:O, phones:O, or:O, launching:O, man-in-the-middle:O, (:O, MITM:O, ):O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 its analysis , CSIS notes that MazarBOT was reported by Recorded Future last November as being actively sold in Russian underground forums and intriguingly , the malware will not activate on Android devices configured with Russian language settings .' [/INST] [In:O, its:O, analysis:O, ,:O, CSIS:B-Organization, notes:O, that:O, MazarBOT:B-Malware, was:O, reported:O, by:O, Recorded:B-Organization, Future:I-Organization, last:O, November:O, as:O, being:O, actively:O, sold:O, in:O, Russian:O, underground:O, forums:O, and:O, intriguingly:O, ,:O, the:O, malware:O, will:O, not:O, activate:O, on:O, Android:B-System, devices:O, configured:O, with:O, Russian:O, language:O, settings:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , in itself , does not prove that the perpetrators of the malware campaign are based in Russia , but it certainly sounds as if that is a strong possibility .' [/INST] [This:O, ,:O, in:O, itself:O, ,:O, does:O, not:O, prove:O, that:O, the:O, perpetrators:O, of:O, the:O, malware:O, campaign:O, are:O, based:O, in:O, Russia:O, ,:O, but:O, it:O, certainly:O, sounds:O, as:O, if:O, that:O, is:O, a:O, strong:O, possibility:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Malware authors in the past have often coded a “ safety net ” into their malware to prevent them from accidentally infecting their own computers and devices .' [/INST] [Malware:O, authors:O, in:O, the:O, past:O, have:O, often:O, coded:O, a:O, “:O, safety:O, net:O, ”:O, into:O, their:O, malware:O, to:O, prevent:O, them:O, from:O, accidentally:O, infecting:O, their:O, own:O, computers:O, and:O, devices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For more detailed information about the threat , check out the blog post from CSIS .' [/INST] [For:O, more:O, detailed:O, information:O, about:O, the:O, threat:O, ,:O, check:O, out:O, the:O, blog:O, post:O, from:O, CSIS:B-Organization, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , of course , remember to always be wary of unsolicited , unusual text messages and installing apps from third-party sources on your Android smartphone .' [/INST] [And:O, ,:O, of:O, course:O, ,:O, remember:O, to:O, always:O, be:O, wary:O, of:O, unsolicited:O, ,:O, unusual:O, text:O, messages:O, and:O, installing:O, apps:O, from:O, third-party:O, sources:O, on:O, your:O, Android:B-System, smartphone: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: 'Coronavirus Update App Leads to Project Spy Android and iOS Spyware We discovered a cyberespionage campaign we have named Project Spy infecting Android and iOS devices with spyware by using the coronavirus disease ( Covid-19 ) as a lure .' [/INST] [Coronavirus:B-System, Update:I-System, App:I-System, Leads:O, to:O, Project:B-Malware, Spy:I-Malware, Android:B-System, and:O, iOS:B-System, Spyware:O, We:O, discovered:O, a:O, cyberespionage:O, campaign:O, we:O, have:O, named:O, Project:B-Malware, Spy:I-Malware, infecting:O, Android:B-System, and:O, iOS:B-System, devices:O, with:O, spyware:O, by:O, using:O, the:O, coronavirus:O, disease:O, (:O, Covid-19:O, ):O, as:O, a:O, lure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By : Tony Bao , Junzhi Lu April 14 , 2020 We discovered a potential cyberespionage campaign , which we have named Project Spy , that infects Android and iOS devices with spyware ( detected by Trend Micro as AndroidOS_ProjectSpy.HRX and IOS_ProjectSpy.A , respectively ) .' [/INST] [By:O, ::O, Tony:O, Bao:O, ,:O, Junzhi:O, Lu:O, April:O, 14:O, ,:O, 2020:O, We:O, discovered:O, a:O, potential:O, cyberespionage:O, campaign:O, ,:O, which:O, we:O, have:O, named:O, Project:B-Malware, Spy:I-Malware, ,:O, that:O, infects:O, Android:B-System, and:O, iOS:B-System, devices:O, with:O, spyware:O, (:O, detected:O, by:O, Trend:B-Organization, Micro:I-Organization, as:O, AndroidOS_ProjectSpy.HRX:B-Indicator, and:O, IOS_ProjectSpy.A:B-Indicator, ,:O, respectively: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: 'Project Spy uses the ongoing coronavirus pandemic as a lure , posing as an app called Coronavirus Updates .' [/INST] [Project:B-Malware, Spy:I-Malware, uses:O, the:O, ongoing:O, coronavirus:O, pandemic:O, as:O, a:O, lure:O, ,:O, posing:O, as:O, an:O, app:O, called:O, Coronavirus:O, Updates:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 also found similarities in two older samples disguised as a Google service and , subsequently , as a music app after further investigation .' [/INST] [We:O, also:O, found:O, similarities:O, in:O, two:O, older:O, samples:O, disguised:O, as:O, a:O, Google:B-Organization, service:O, and:O, ,:O, subsequently:O, ,:O, as:O, a:O, music:O, app:O, after:O, further:O, investigation:O, .:O] </s> |
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