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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 autoandroidup [ .' [/INST] []:I-Indicator, com:I-Indicator, autoandroidup:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] website mobilestoreupdate [ .' [/INST] []:I-Indicator, website:I-Indicator, mobilestoreupdate:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] website updatemobapp [ .' [/INST] []:I-Indicator, website:I-Indicator, updatemobapp:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] website 107 [ .' [/INST] []:I-Indicator, website:I-Indicator, 107:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 175 [ .' [/INST] []:I-Indicator, 175: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: '] 144 [ .' [/INST] []:I-Indicator, 144: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: '] 26 192 [ .' [/INST] []:I-Indicator, 26:I-Indicator, 192:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 64 [ .' [/INST] []:I-Indicator, 64: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: '] 114 [ .' [/INST] []:I-Indicator, 114: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: '] 147 Red Alert 2.0 : Android Trojan targets security-seekers A malicious , counterfeit version of a VPN client for mobile devices targets security-minded victims with a RAT .' [/INST] []:I-Indicator, 147:I-Indicator, Red:B-Malware, Alert:I-Malware, 2.0:I-Malware, ::O, Android:B-System, Trojan:O, targets:O, security-seekers:O, A:O, malicious:O, ,:O, counterfeit:O, version:O, of:O, a:O, VPN:B-System, client:O, for:O, mobile:O, devices:O, targets:O, security-minded:O, victims:O, with:O, a:O, RAT:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Written by Jagadeesh Chandraiah JULY 23 , 2018 SophosLabs has uncovered a mobile malware distribution campaign that uses advertising placement to distribute the Red Alert Trojan , linking counterfeit branding of well-known apps to Web pages that deliver an updated , 2.0 version of this bank credential thief .' [/INST] [Written:O, by:O, Jagadeesh:O, Chandraiah:O, JULY:O, 23:O, ,:O, 2018:O, SophosLabs:B-Organization, has:O, uncovered:O, a:O, mobile:O, malware:O, distribution:O, campaign:O, that:O, uses:O, advertising:O, placement:O, to:O, distribute:O, the:O, Red:B-Malware, Alert:I-Malware, Trojan:I-Malware, ,:O, linking:O, counterfeit:O, branding:O, of:O, well-known:O, apps:O, to:O, Web:O, pages:O, that:O, deliver:O, an:O, updated:O, ,:O, 2.0:O, version:O, of:O, this:O, bank:O, credential:O, thief:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 group distributing this family of malware decorates it in the branding and logos of well-known social media or media player apps , system update patches , or ( in its most recent campaign ) VPN client apps in an attempt to lure users into downloading , installing , and elevating the privileges of a Trojanized app hosted on a site not affiliated with any reputable app market or store .' [/INST] [The:O, group:O, distributing:O, this:O, family:O, of:O, malware:O, decorates:O, it:O, in:O, the:O, branding:O, and:O, logos:O, of:O, well-known:O, social:O, media:O, or:O, media:O, player:O, apps:O, ,:O, system:O, update:O, patches:O, ,:O, or:O, (:O, in:O, its:O, most:O, recent:O, campaign:O, ):O, VPN:B-System, client:O, apps:O, in:O, an:O, attempt:O, to:O, lure:O, users:O, into:O, downloading:O, ,:O, installing:O, ,:O, and:O, elevating:O, the:O, privileges:O, of:O, a:O, Trojanized:O, app:O, hosted:O, on:O, a:O, site:O, not:O, affiliated:O, with:O, any:O, reputable:O, app:O, market:O, or:O, store:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Aside from the inescapable irony of disguising a security-reducing Trojan as an ostensibly security-enhancing app , and the righteous affront to the whole concept of a VPN ’ s purpose a Trojan so disguised inspires , this represents an escalation in the variety of app types targeted by this campaign of bankbots in disguise .' [/INST] [Aside:O, from:O, the:O, inescapable:O, irony:O, of:O, disguising:O, a:O, security-reducing:O, Trojan:O, as:O, an:O, ostensibly:O, security-enhancing:O, app:O, ,:O, and:O, the:O, righteous:O, affront:O, to:O, the:O, whole:O, concept:O, of:O, a:O, VPN:O, ’:O, s:O, purpose:O, a:O, Trojan:O, so:O, disguised:O, inspires:O, ,:O, this:O, represents:O, an:O, escalation:O, in:O, the:O, variety:O, of:O, app:O, types:O, targeted:O, by:O, this:O, campaign:O, of:O, bankbots:O, in:O, disguise:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Red Alert Plays Dress-Up In the wild , we found Web pages designed to ( vaguely ) resemble legitimate app market pages , hosting files for download that have been disguised as a legitimate mobile application of moderately broad appeal , such as a media player or social media app .' [/INST] [Red:B-Malware, Alert:I-Malware, Plays:O, Dress-Up:O, In:O, the:O, wild:O, ,:O, we:O, found:O, Web:O, pages:O, designed:O, to:O, (:O, vaguely:O, ):O, resemble:O, legitimate:O, app:O, market:O, pages:O, ,:O, hosting:O, files:O, for:O, download:O, that:O, have:O, been:O, disguised:O, as:O, a:O, legitimate:O, mobile:O, application:O, of:O, moderately:O, broad:O, appeal:O, ,:O, such:O, as:O, a:O, media:O, player:O, or:O, social:O, media: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: 'But the categories targeted by this group seem to be broadening with the inclusion of VPN software .' [/INST] [But:O, the:O, categories:O, targeted:O, by:O, this:O, group:O, seem:O, to:O, be:O, broadening:O, with:O, the:O, inclusion:O, of:O, VPN:B-System, software:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Web page shown here on the left is hosted on a domain that seems apt : free-vpn [ .' [/INST] [The:O, Web:O, page:O, shown:O, here:O, on:O, the:O, left:O, is:O, hosted:O, on:O, a:O, domain:O, that:O, seems:O, apt:O, ::O, free-vpn:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] download .' [/INST] []:I-Indicator, download:I-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Investigation of this domain led to additional domains that appear to have been registered for use with the campaign , but are not in use yet .' [/INST] [Investigation:O, of:O, this:O, domain:O, led:O, to:O, additional:O, domains:O, that:O, appear:O, to:O, have:O, been:O, registered:O, for:O, use:O, with:O, the:O, campaign:O, ,:O, but:O, are:O, not:O, in:O, use:O, yet:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '( You can find additional IoCs at the end of this article ) As you can see , the Web page uses a similar colour scheme as , and the icon design from , a legitimate VPN application ( VPN Proxy Master ) found on the Google Play store .' [/INST] [(:O, You:O, can:O, find:O, additional:O, IoCs:O, at:O, the:O, end:O, of:O, this:O, article:O, ):O, As:O, you:O, can:O, see:O, ,:O, the:O, Web:O, page:O, uses:O, a:O, similar:O, colour:O, scheme:O, as:O, ,:O, and:O, the:O, icon:O, design:O, from:O, ,:O, a:O, legitimate:O, VPN:O, application:O, (:O, VPN:O, Proxy:O, Master:O, ):O, found:O, on:O, the:O, Google:B-System, Play:I-System, store:I-System, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The fake doesn ’ t quite nail the app name .' [/INST] [The:O, fake:O, doesn:O, ’:O, t:O, quite:O, nail:O, the:O, app:O, name:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to “ Free VPN Master Android , ” we ’ ve observed Red Alert 2.0 Trojans in the wild disguising themselves using names like : Flash Player or Update Flash Player Android Update or Android Antivirus Chrome Update or Google Update Update Google Market WhatsApp Viber OneCoin Wallet Pornhub Tactic FlashLight or PROFlashLight Finanzonline The vast majority of in-the-wild Red Alert 2.0 samples falsely present themselves as Adobe Flash player for Android , a utility that Adobe stopped supporting years ago .' [/INST] [In:O, addition:O, to:O, “:O, Free:B-System, VPN:I-System, Master:I-System, Android:I-System, ,:O, ”:O, we:O, ’:O, ve:O, observed:O, Red:B-Malware, Alert:I-Malware, 2.0:I-Malware, Trojans:O, in:O, the:O, wild:O, disguising:O, themselves:O, using:O, names:O, like:O, ::O, Flash:B-System, Player:I-System, or:O, Update:B-System, Flash:I-System, Player:I-System, Android:B-System, Update:I-System, or:O, Android:B-System, Antivirus:I-System, Chrome:B-System, Update:I-System, or:O, Google:B-System, Update:I-System, Update:B-System, Google:I-System, Market:I-System, WhatsApp:B-System, Viber:B-System, OneCoin:B-System, Wallet:B-System, Pornhub:O, Tactic:O, FlashLight:O, or:O, PROFlashLight:O, Finanzonline:O, The:O, vast:O, majority:O, of:O, in-the-wild:O, Red:B-Malware, Alert:I-Malware, 2.0:I-Malware, samples:I-Malware, falsely:O, present:O, themselves:O, as:O, Adobe:B-System, Flash:I-System, player:I-System, for:O, Android:B-System, ,:O, a:O, utility:O, that:O, Adobe:B-Organization, stopped:O, supporting:O, years:O, ago:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 logs show a number of simultaneous Red Alert 2.0 campaigns in operation , many ( but not all ) hosted on dynamic DNS domains .' [/INST] [Our:O, logs:O, show:O, a:O, number:O, of:O, simultaneous:B-Malware, Red:I-Malware, Alert:I-Malware, 2.0:I-Malware, campaigns:I-Malware, in:O, operation:O, ,:O, many:O, (:O, but:O, not:O, all:O, ):O, hosted:O, on:O, dynamic:O, DNS:O, domains:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Red Alert Payload Once installed , the malware requests Device Administrator privileges .' [/INST] [The:O, Red:B-Malware, Alert:I-Malware, Payload:I-Malware, Once:O, installed:O, ,:O, the:O, malware:O, requests:O, Device:O, Administrator:O, privileges:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the malware obtains device administrator rights , it will be able to lock the screen by itself , expire the password , and resist being uninstalled through normal methods .' [/INST] [If:O, the:O, malware:O, obtains:O, device:O, administrator:O, rights:O, ,:O, it:O, will:O, be:O, able:O, to:O, lock:O, the:O, screen:O, by:O, itself:O, ,:O, expire:O, the:O, password:O, ,:O, and:O, resist:O, being:O, uninstalled:O, through:O, normal:O, methods:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Device admin request from app that says it is WhatsApp The app then stays in the background listening to commands from the cybercrooks .' [/INST] [Device:O, admin:O, request:O, from:O, app:O, that:O, says:O, it:O, is:O, WhatsApp:O, The:O, app:O, then:O, stays:O, in:O, the:O, background:O, listening:O, to:O, commands:O, from:O, the:O, cybercrooks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Within some of the first of those commands , the bot typically receives a list of banks it will target .' [/INST] [Within:O, some:O, of:O, the:O, first:O, of:O, those:O, commands:O, ,:O, the:O, bot:O, typically:O, receives:O, a:O, list:O, of:O, banks:O, it:O, will:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 works by creating an overlay whenever the user launches the banking application .' [/INST] [The:O, Trojan:O, works:O, by:O, creating:O, an:O, overlay:O, whenever:O, the:O, user:O, launches:O, the:O, banking:O, 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: 'Currently Running Applications Banking Trojans that rely on the overlay mechanism to steal information need to know what application is in the foreground .' [/INST] [Currently:O, Running:O, Applications:O, Banking:O, Trojans:O, that:O, rely:O, on:O, the:O, overlay:O, mechanism:O, to:O, steal:O, information:O, need:O, to:O, know:O, what:O, application:O, is:O, in:O, the:O, foreground:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'They do this not only to identify whether the use of a particular app may permit them to harvest another credential , but also because each targeted app needs to have an overlay mapped to its design , so the Trojan can intercept and steal user data .' [/INST] [They:O, do:O, this:O, not:O, only:O, to:O, identify:O, whether:O, the:O, use:O, of:O, a:O, particular:O, app:O, may:O, permit:O, them:O, to:O, harvest:O, another:O, credential:O, ,:O, but:O, also:O, because:O, each:O, targeted:O, app:O, needs:O, to:O, have:O, an:O, overlay:O, mapped:O, to:O, its:O, design:O, ,:O, so:O, the:O, Trojan:O, can:O, intercept:O, and:O, steal:O, user:O, data:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This quest to determine the currently running application is a hallmark of overlay malware , so we thought we ’ d take a closer look at how it ’ s done .' [/INST] [This:O, quest:O, to:O, determine:O, the:O, currently:O, running:O, application:O, is:O, a:O, hallmark:O, of:O, overlay:O, malware:O, ,:O, so:O, we:O, thought:O, we:O, ’:O, d:O, take:O, a:O, closer:O, look:O, at:O, how:O, it:O, ’:O, s:O, done:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 prevent this , Android ’ s engineers regularly release updates that contain bug fixes designed to prevent apps from getting the list of currently running apps without explicit permission .' [/INST] [To:O, prevent:O, this:O, ,:O, Android:B-System, ’:O, s:O, engineers:O, regularly:O, release:O, updates:O, that:O, contain:O, bug:O, fixes:O, designed:O, to:O, prevent:O, apps:O, from:O, getting:O, the:O, list:O, of:O, currently:O, running:O, apps:O, without:O, explicit:O, permission:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 every Android update , the malware authors are forced to come up with new tricks .' [/INST] [With:O, every:O, Android:B-System, update:O, ,:O, the:O, malware:O, authors:O, are:O, forced:O, to:O, come:O, up:O, with:O, new:O, tricks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 particular case is not an exception .' [/INST] [This:O, particular:O, case:O, is:O, not:O, an:O, exception:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 author ( s ) of this malware wrote separate subroutines that identify the operating system version and fire off methods to obtain a list of currently running applications known to work on that particular version of Android .' [/INST] [The:O, author:O, (:O, s:O, ):O, of:O, this:O, malware:O, wrote:O, separate:O, subroutines:O, that:O, identify:O, the:O, operating:O, system:O, version:O, and:O, fire:O, off:O, methods:O, to:O, obtain:O, a:O, list:O, of:O, currently:O, running:O, applications:O, known:O, to:O, work:O, on:O, that:O, particular:O, version:O, of:O, Android:B-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: 'First , they use the built-in toolbox commands to determine what apps are running .' [/INST] [First:O, ,:O, they:O, use:O, the:O, built-in:O, toolbox:O, commands:O, to:O, determine:O, what:O, apps:O, are:O, running:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 that doesn ’ t work , they try to use queryUsageStats : When the malware invokes queryUsageStats , it asks for the list of applications that ran in the last 1 million milliseconds ( 16 minutes and 40 seconds ) .' [/INST] [If:O, that:O, doesn:O, ’:O, t:O, work:O, ,:O, they:O, try:O, to:O, use:O, queryUsageStats:O, ::O, When:O, the:O, malware:O, invokes:O, queryUsageStats:O, ,:O, it:O, asks:O, for:O, the:O, list:O, of:O, applications:O, that:O, ran:O, in:O, the:O, last:O, 1:O, million:O, milliseconds:O, (:O, 16:O, minutes:O, and:O, 40:O, seconds: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: 'String Resources Used to Store App Data Red Alert 2.0 stores its data in an atypical location ( inside the Strings.xml file embedded in the app ) to fetch its critical data , such as the C2 address .' [/INST] [String:O, Resources:O, Used:O, to:O, Store:O, App:O, Data:O, Red:B-Malware, Alert:I-Malware, 2.0:I-Malware, stores:O, its:O, data:O, in:O, an:O, atypical:O, location:O, (:O, inside:O, the:O, Strings.xml:B-Indicator, file:I-Indicator, embedded:O, in:O, the:O, app:O, ):O, to:O, fetch:O, its:O, critical:O, data:O, ,:O, such:O, as:O, the:O, C2:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The com.dsufabunfzs.dowiflubs strings in the screenshot above refer to the internal name this particular malware was given , which in this case was randomized into alphabet salad .' [/INST] [The:O, com.dsufabunfzs.dowiflubs:O, strings:O, in:O, the:O, screenshot:O, above:O, refer:O, to:O, the:O, internal:O, name:O, this:O, particular:O, malware:O, was:O, given:O, ,:O, which:O, in:O, this:O, case:O, was:O, randomized:O, into:O, alphabet:O, salad:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It ’ s been SophosLabs ’ observation that Red Alert Trojans usually have a randomized internal name like this .' [/INST] [It:O, ’:O, s:O, been:O, SophosLabs:O, ’:O, observation:O, that:O, Red:B-Malware, Alert:I-Malware, Trojans:I-Malware, usually:O, have:O, a:O, randomized:O, internal:O, name:O, like:O, this:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 strings section of the app contains embedded command-and-control IP addresses , ports , and domain names in plaintext .' [/INST] [The:O, strings:O, section:O, of:O, the:O, app:O, contains:O, embedded:O, command-and-control:O, IP:O, addresses:O, ,:O, ports:O, ,:O, and:O, domain:O, names:O, in:O, plaintext:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 an invaluable source of intelligence about a given campaign .. The following snippet shows the location within the Trojan where it uses SQLite database commands to store and recall command-and-control addresses : Backdoor Commands The Red Alert code also contains an embedded list of commands the botmaster can send to the bot .' [/INST] [It:O, is:O, an:O, invaluable:O, source:O, of:O, intelligence:O, about:O, a:O, given:O, campaign:O, ..:O, The:O, following:O, snippet:O, shows:O, the:O, location:O, within:O, the:O, Trojan:O, where:O, it:O, uses:O, SQLite:O, database:O, commands:O, to:O, store:O, and:O, recall:O, command-and-control:O, addresses:O, ::O, Backdoor:O, Commands:O, The:O, Red:B-Malware, Alert:I-Malware, code:I-Malware, also:O, contains:O, an:O, embedded:O, list:O, of:O, commands:O, the:O, botmaster:O, can:O, send:O, to:O, the:O, bot:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware can execute a variety of arbitrary commands , including ( for example ) intercepting or sending text messages without the user ’ s knowledge , obtaining a copy of the victim ’ s Address Book , or call or text message logs , or sending phone network feature codes ( also known as USSD codes ) .' [/INST] [The:O, malware:O, can:O, execute:O, a:O, variety:O, of:O, arbitrary:O, commands:O, ,:O, including:O, (:O, for:O, example:O, ):O, intercepting:O, or:O, sending:O, text:O, messages:O, without:O, the:O, user:O, ’:O, s:O, knowledge:O, ,:O, obtaining:O, a:O, copy:O, of:O, the:O, victim:O, ’:O, s:O, Address:B-System, Book:I-System, ,:O, or:O, call:O, or:O, text:O, message:O, logs:O, ,:O, or:O, sending:O, phone:O, network:O, feature:O, codes:O, (:O, also:O, known:O, as:O, USSD:O, codes: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: 'C2 and Targeted Banks As described earlier , the C2 domain is kept in the app ’ s resources .' [/INST] [C2:O, and:O, Targeted:O, Banks:O, As:O, described:O, earlier:O, ,:O, the:O, C2:O, domain:O, is:O, kept:O, in:O, the:O, app:O, ’:O, s:O, resources:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During the app execution , the malware contacts C2 domain for further instructions .' [/INST] [During:O, the:O, app:O, execution:O, ,:O, the:O, malware:O, contacts:O, C2:O, domain:O, for:O, further:O, instructions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Most of the network traffic we ’ ve observed is HTTP .' [/INST] [Most:O, of:O, the:O, network:O, traffic:O, we:O, ’:O, ve:O, observed:O, is:O, HTTP:B-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The C2 address , as stored in samples we ’ ve seen , comprise both an IP address and port number ; So far , all the samples we ’ ve tested attempted to contact an IP address on port 7878/tcp .' [/INST] [The:O, C2:O, address:O, ,:O, as:O, stored:O, in:O, samples:O, we:O, ’:O, ve:O, seen:O, ,:O, comprise:O, both:O, an:O, IP:O, address:O, and:O, port:O, number:O, ;:O, So:O, far:O, ,:O, all:O, the:O, samples:O, we:O, ’:O, ve:O, tested:O, attempted:O, to:O, contact:O, an:O, IP:O, address:O, on:O, port:B-Indicator, 7878/tcp:I-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the main C2 domain is not responsive , the bot fetches a backup C2 domain from a Twitter account .' [/INST] [If:O, the:O, main:O, C2:O, domain:O, is:O, not:O, responsive:O, ,:O, the:O, bot:O, fetches:O, a:O, backup:O, C2:O, domain:O, from:O, a:O, Twitter:B-Organization, 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: 'Static analysis of the code reveals that the malware downloads the overlay template to use against any of the bank ( s ) it is targeting .' [/INST] [Static:O, analysis:O, of:O, the:O, code:O, reveals:O, that:O, the:O, malware:O, downloads:O, the:O, overlay:O, template:O, to:O, use:O, against:O, any:O, of:O, the:O, bank:O, (:O, s:O, ):O, it:O, is:O, targeting:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware also sends regular telemetry back to its C2 server about the infected device in the form of an HTTP POST to its C2 server .' [/INST] [The:O, malware:O, also:O, sends:O, regular:O, telemetry:O, back:O, to:O, its:O, C2:O, server:O, about:O, the:O, infected:O, device:O, in:O, the:O, form:O, of:O, an:O, HTTP:B-Indicator, POST:O, to:O, its:O, C2: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: 'It uses the base Dalvik User-Agent string for the device it ’ s running on .' [/INST] [It:O, uses:O, the:O, base:O, Dalvik:O, User-Agent:O, string:O, for:O, the:O, device:O, it:O, ’:O, s:O, running: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: 'The content of the HTTP POST data is telemetry data in a json format about the device the malware is running on .' [/INST] [The:O, content:O, of:O, the:O, HTTP:B-Indicator, POST:O, data:O, is:O, telemetry:O, data:O, in:O, a:O, json:O, format:O, about:O, the:O, device:O, the:O, malware:O, is:O, running: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: 'The list of banks targeted by Red Alert 2.0 includes NatWest , Barclays , Westpac , and Citibank .' [/INST] [The:O, list:O, of:O, banks:O, targeted:O, by:O, Red:B-Malware, Alert:I-Malware, 2.0:I-Malware, includes:O, NatWest:O, ,:O, Barclays:B-Organization, ,:O, Westpac:O, ,:O, and:O, Citibank:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Red Alert 2.0 is a banking bot that is currently very active online , and presents a risk to Android devices .' [/INST] [Red:B-Malware, Alert:I-Malware, 2.0:I-Malware, is:O, a:O, banking:O, bot:O, that:O, is:O, currently:O, very:O, active:O, online:O, ,:O, and:O, presents:O, a:O, risk:O, to: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: 'We expect to see more diversification in the social engineering lures this threat group employs as time goes on .' [/INST] [We:O, expect:O, to:O, see:O, more:O, diversification:O, in:O, the:O, social:O, engineering:O, lures:O, this:O, threat:O, group:O, employs:O, as:O, time:O, goes: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: 'So far , legitimate app stores appear to be this malware ’ s Achilles heel ; disabling the installation of third-party apps has been an effective prevention measure .' [/INST] [So:O, far:O, ,:O, legitimate:O, app:O, stores:O, appear:O, to:O, be:O, this:O, malware:O, ’:O, s:O, Achilles:O, heel:O, ;:O, disabling:O, the:O, installation:O, of:O, third-party:O, apps:O, has:O, been:O, an:O, effective:O, prevention:O, measure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Stick to Google Play and use VPN software from reputable vendors .' [/INST] [Stick:O, to:O, Google:B-System, Play:I-System, and:O, use:O, VPN:O, software:O, from:O, reputable:O, vendors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sophos detects all the samples of this Trojan family as Andr/Banker-GWC and Andr/Spybot-A .' [/INST] [Sophos:B-Organization, detects:O, all:O, the:O, samples:O, of:O, this:O, Trojan:O, family:O, as:O, Andr/Banker-GWC:O, and:O, Andr/Spybot-A:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the wild , these are only distributed as a direct download from unofficial Web pages ( “ third-party ” app ) and not through legitimate app stores .' [/INST] [In:O, the:O, wild:O, ,:O, these:O, are:O, only:O, distributed:O, as:O, a:O, direct:O, download:O, from:O, unofficial:O, Web:O, pages:O, (:O, “:O, third-party:O, ”:O, app:O, ):O, and:O, not:O, through:O, legitimate:O, app:O, stores:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Red Alert 2.0 IoCs list C2 addresses 103.239.30.126:7878 146.185.241.29:7878 146.185.241.42:7878 185.126.200.3:7878 185.126.200.12:7878 185.126.200.15:7878 185.126.200.18:7878 185.165.28.15:7878 185.243.243.241:7878 185.243.243.244:7878 185.243.243.245:7878 Domains Malware source Web hosts' [/INST] [Red:B-Malware, Alert:I-Malware, 2.0:I-Malware, IoCs:O, list:O, C2:O, addresses:O, 103.239.30.126:7878:B-Indicator, 146.185.241.29:7878:B-Indicator, 146.185.241.42:7878:B-Indicator, 185.126.200.3:7878:B-Indicator, 185.126.200.12:7878:B-Indicator, 185.126.200.15:7878:B-Indicator, 185.126.200.18:7878:B-Indicator, 185.165.28.15:7878:B-Indicator, 185.243.243.241:7878:B-Indicator, 185.243.243.244:7878:B-Indicator, 185.243.243.245:7878:B-Indicator, Domains:O, Malware:O, source:O, Web:O, hosts:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 167.99.176.61 : free-androidvpn.date free-androidvpn.download free-androidvpn.online free-vpn.date free-vpn.download free-vpn.online Hashes 22fcfce096392f085218c3a78dd0fa4be9e67ed725bce42b965a27725f671cf 55292a4dde8727faad1c40c914cf1be9dfdcf4e67b515aa593bcd8d86e824372' [/INST] [on:O, 167.99.176.61:B-Indicator, ::O, free-androidvpn.date:B-Indicator, free-androidvpn.download:O, free-androidvpn.online:O, free-vpn.date:B-Indicator, free-vpn.download:O, free-vpn.online:O, Hashes:O, 22fcfce096392f085218c3a78dd0fa4be9e67ed725bce42b965a27725f671cf:O, 55292a4dde8727faad1c40c914cf1be9dfdcf4e67b515aa593bcd8d86e824372:B-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: 'be92a751e5abbcd24151b509dbb4feb98ea46f367a99d6f86ed4a7c162461e31 5c4d666cef84abc2a1ffd3b1060ef28fa3c6c3bb4fad1fa26db99350b41bea4c 06081ab7faa729e33b9397a0e47548e75cbec3d43c50e6368e81d737552150a5 753999cb19a4346042f973e30cf1158c44f2335ab65859d3bfa16bca4098e2ef' [/INST] [be92a751e5abbcd24151b509dbb4feb98ea46f367a99d6f86ed4a7c162461e31:B-Indicator, 5c4d666cef84abc2a1ffd3b1060ef28fa3c6c3bb4fad1fa26db99350b41bea4c:B-Indicator, 06081ab7faa729e33b9397a0e47548e75cbec3d43c50e6368e81d737552150a5:B-Indicator, 753999cb19a4346042f973e30cf1158c44f2335ab65859d3bfa16bca4098e2ef:B-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: 'As a result of a lot of hard work done by our security research teams , we revealed today a new and alarming malware campaign .' [/INST] [As:O, a:O, result:O, of:O, a:O, lot:O, of:O, hard:O, work:O, done:O, by:O, our:O, security:O, research:O, teams:O, ,:O, we:O, revealed:O, today:O, a:O, new:O, and:O, alarming:O, malware:O, campaign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attack campaign , named Gooligan , breached the security of over one million Google accounts .' [/INST] [The:O, attack:O, campaign:O, ,:O, named:O, Gooligan:B-Malware, ,:O, breached:O, the:O, security:O, of:O, over:O, one: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: 'The number continues to rise at an additional 13,000 breached devices each day .' [/INST] [The:O, number:O, continues:O, to:O, rise:O, at:O, an:O, additional:O, 13,000:O, breached:O, devices:O, each:O, day:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our research exposes how the malware roots infected devices and steals authentication tokens that can be used to access data from Google Play , Gmail , Google Photos , Google Docs , G Suite , Google Drive , and more .' [/INST] [Our:O, research:O, exposes:O, how:O, the:O, malware:O, roots:O, infected:O, devices:O, and:O, steals:O, authentication:O, tokens:O, that:O, can:O, be:O, used:O, to:O, access:O, data:O, from:O, Google:B-System, Play:I-System, ,:O, Gmail:B-System, ,:O, Google:B-System, Photos:I-System, ,:O, Google:B-System, Docs:I-System, ,:O, G:B-System, Suite:I-System, ,:O, Google:B-System, Drive:I-System, ,:O, and:O, more:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 is a new variant of the Android malware campaign found by our researchers in the SnapPea app last year .' [/INST] [Gooligan:B-Malware, is:O, a:O, new:O, variant:O, of:O, the:O, Android:O, malware:O, campaign:O, found:O, by:O, our:O, researchers:O, in:O, the:O, SnapPea:B-Malware, app:O, last:O, year:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Check Point reached out to the Google Security team immediately with information on this campaign .' [/INST] [Check:B-Organization, Point:I-Organization, reached:O, out:O, to:O, the:O, Google:B-Organization, Security:I-Organization, team:O, immediately:O, with:O, information:O, on:O, this:O, campaign:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our researchers are working closely with Google to investigate the source of the Gooligan campaign .' [/INST] [Our:O, researchers:O, are:O, working:O, closely:O, with:O, Google:B-Organization, to:O, investigate:O, the:O, source:O, of:O, the:O, Gooligan:B-Malware, campaign: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: '“ We ’ re appreciative of both Check Point ’ s research and their partnership as we ’ ve worked together to understand these issues , ” said Adrian Ludwig , Google ’ s director of Android security .' [/INST] [“:O, We:O, ’:O, re:O, appreciative:O, of:O, both:O, Check:B-Organization, Point:I-Organization, ’:O, s:O, research:O, and:O, their:O, partnership:O, as:O, we:O, ’:O, ve:O, worked:O, together:O, to:O, understand:O, these:O, issues:O, ,:O, ”:O, said:O, Adrian:O, Ludwig:O, ,:O, Google:B-Organization, ’:O, s:O, director:O, of:O, Android:B-System, security:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 part of our ongoing efforts to protect users from the Ghost Push family of malware , we ’ ve taken numerous steps to protect our users and improve the security of the Android ecosystem overall. ” We are very encouraged by the statement Google shared with us addressing the issue .' [/INST] [“:O, As:O, part:O, of:O, our:O, ongoing:O, efforts:O, to:O, protect:O, users:O, from:O, the:O, Ghost:B-Malware, Push:I-Malware, family:I-Malware, of:O, malware:O, ,:O, we:O, ’:O, ve:O, taken:O, numerous:O, steps:O, to:O, protect:O, our:O, users:O, and:O, improve:O, the:O, security:O, of:O, the:O, Android:B-System, ecosystem:O, overall.:O, ”:O, We:O, are:O, very:O, encouraged:O, by:O, the:O, statement:O, Google:B-Organization, shared:O, with:O, us:O, addressing:O, the:O, issue:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 have chosen to join forces to continue the investigation around Gooligan .' [/INST] [We:O, have:O, chosen:O, to:O, join:O, forces:O, to:O, continue:O, the:O, investigation:O, around:O, Gooligan: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: 'Google also stated that they are taking numerous steps including proactively notifying affected accounts , revoking affected tokens and deploying SafetyNet improvements to protect users from these apps in the future .' [/INST] [Google:B-Organization, also:O, stated:O, that:O, they:O, are:O, taking:O, numerous:O, steps:O, including:O, proactively:O, notifying:O, affected:O, accounts:O, ,:O, revoking:O, affected:O, tokens:O, and:O, deploying:O, SafetyNet:O, improvements:O, to:O, protect:O, users:O, from:O, these:O, apps:O, in:O, the:O, future:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Who is affected ?' [/INST] [Who:O, is:O, affected:O, ?:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 potentially affects devices on Android 4 ( Jelly Bean , KitKat ) and 5 ( Lollipop ) , which is over 74 % of in-market devices today .' [/INST] [Gooligan:B-Malware, potentially:O, affects:O, devices:O, on:O, Android:B-System, 4:I-System, (:I-System, Jelly:I-System, Bean:I-System, ,:I-System, KitKat:I-System, ):I-System, and:I-System, 5:I-System, (:I-System, Lollipop:I-System, ):I-System, ,:O, which:O, is:O, over:O, 74:O, %:O, of:O, in-market:O, devices:O, today:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'About 57 % of these devices are located in Asia and about 9 % are in Europe .' [/INST] [About:O, 57:O, %:O, of:O, these:O, devices:O, are:O, located:O, in:O, Asia:O, and:O, about:O, 9:O, %:O, are:O, in:O, Europe:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 our research we identified tens of fake applications that were infected with this malware .' [/INST] [In:O, our:O, research:O, we:O, identified:O, tens:O, of:O, fake:O, applications:O, that:O, were:O, infected:O, with:O, this:O, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If you ’ ve downloaded one of the apps listed in Appendix A , below , you might be infected .' [/INST] [If:O, you:O, ’:O, ve:O, downloaded:O, one:O, of:O, the:O, apps:O, listed:O, in:O, Appendix:O, A:O, ,:O, below:O, ,:O, you:O, might:O, be:O, infected:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'You may review your application list in “ Settings - > Apps ” , if you find one of this applications , please consider downloading an antivirus product such as Check Point ZoneAlarm to check if you are indeed infected .' [/INST] [You:O, may:O, review:O, your:O, application:O, list:O, in:O, “:O, Settings:O, -:O, >:O, Apps:O, ”:O, ,:O, if:O, you:O, find:O, one:O, of:O, this:O, applications:O, ,:O, please:O, consider:O, downloading:O, an:O, antivirus:O, product:O, such:O, as:O, Check:B-Organization, Point:I-Organization, ZoneAlarm:B-System, to:O, check:O, if:O, you:O, are:O, indeed:O, infected:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 have noticed that hundreds of the email addresses are associated with enterprise accounts worldwide .' [/INST] [We:O, have:O, noticed:O, that:O, hundreds:O, of:O, the:O, email:O, addresses:O, are:O, associated:O, with:O, enterprise:O, accounts:O, worldwide:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'How do you know if your Google account is breached ?' [/INST] [How:O, do:O, you:O, know:O, if:O, your:O, Google:B-Organization, account:O, is: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: 'You can check if your account is compromised by accessing the following web site that we created : https : //gooligan.checkpoint.com/ .' [/INST] [You:O, can:O, check:O, if:O, your:O, account:O, is:O, compromised:O, by:O, accessing:O, the:O, following:O, web:O, site:O, that:O, we:O, created:O, ::O, https:B-Indicator, ::I-Indicator, //gooligan.checkpoint.com/:I-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If your account has been breached , the following steps are required : A clean installation of an operating system on your mobile device is required ( a process called “ flashing ” ) .' [/INST] [If:O, your:O, account:O, has:O, been:O, breached:O, ,:O, the:O, following:O, steps:O, are:O, required:O, ::O, A:O, clean:O, installation:O, of:O, an:O, operating:O, system:O, on:O, your:O, mobile:O, device:O, is:O, required:O, (:O, a:O, process:O, called:O, “:O, flashing:O, ”: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: 'As this is a complex process , we recommend powering off your device and approaching a certified technician , or your mobile service provider , to request that your device be “ re-flashed. ” Change your Google account passwords immediately after this process .' [/INST] [As:O, this:O, is:O, a:O, complex:O, process:O, ,:O, we:O, recommend:O, powering:O, off:O, your:O, device:O, and:O, approaching:O, a:O, certified:O, technician:O, ,:O, or:O, your:O, mobile:O, service:O, provider:O, ,:O, to:O, request:O, that:O, your:O, device:O, be:O, “:O, re-flashed.:O, ”:O, Change:O, your:O, Google:B-Organization, account:O, passwords:O, immediately:O, after:O, this:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'How do Android devices become infected ?' [/INST] [How:O, do:O, Android:O, devices:O, become:O, infected:O, ?:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 traces of the Gooligan malware code in dozens of legitimate-looking apps on third-party Android app stores .' [/INST] [We:O, found:O, traces:O, of:O, the:O, Gooligan:B-Malware, malware:O, code:O, in:O, dozens:O, of:O, legitimate-looking:O, apps:O, on:O, third-party:O, Android:B-System, app:O, stores:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 stores are an attractive alternative to Google Play because many of their apps are free , or offer free versions of paid apps .' [/INST] [These:O, stores:O, are:O, an:O, attractive:O, alternative:O, to:O, Google:B-System, Play:I-System, because:O, many:O, of:O, their:O, apps:O, are:O, free:O, ,:O, or:O, offer:O, free:O, versions:O, of:O, paid:O, apps:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'However , the security of these stores and the apps they sell aren ’ t always verified .' [/INST] [However:O, ,:O, the:O, security:O, of:O, these:O, stores:O, and:O, the:O, apps:O, they:O, sell:O, aren:O, ’:O, t:O, always:O, verified:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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-infected apps can also be installed using phishing scams where attackers broadcast links to infected apps to unsuspecting users via SMS or other messaging services .' [/INST] [Gooligan-infected:B-Malware, apps:O, can:O, also:O, be:O, installed:O, using:O, phishing:O, scams:O, where:O, attackers:O, broadcast:O, links:O, to:O, infected:O, apps:O, to:O, unsuspecting:O, users:O, via:O, SMS:O, or:O, other:O, messaging:O, services:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'How did Gooligan emerge ?' [/INST] [How:O, did:O, Gooligan:B-Malware, emerge:O, ?:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 researchers first encountered Gooligan ’ s code in the malicious SnapPea app last year .' [/INST] [Our:O, researchers:O, first:O, encountered:O, Gooligan:B-Malware, ’:O, s:O, code:O, in:O, the:O, malicious:O, SnapPea:B-Malware, app:O, last:O, year:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'At the time this malware was reported by several security vendors , and attributed to different malware families like Ghostpush , MonkeyTest , and Xinyinhe .' [/INST] [At:O, the:O, time:O, this:O, malware:O, was:O, reported:O, by:O, several:O, security:O, vendors:O, ,:O, and:O, attributed:O, to:O, different:O, malware:O, families:O, like:O, Ghostpush:B-Malware, ,:O, MonkeyTest:B-Malware, ,:O, and:O, Xinyinhe: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: 'By late 2015 , the malware ’ s creators had gone mostly silent until the summer of 2016 when the malware reappeared with a more complex architecture that injects malicious code into Android system processes .' [/INST] [By:O, late:O, 2015:O, ,:O, the:O, malware:O, ’:O, s:O, creators:O, had:O, gone:O, mostly:O, silent:O, until:O, the:O, summer:O, of:O, 2016:O, when:O, the:O, malware:O, reappeared:O, with:O, a:O, more:O, complex:O, architecture:O, that:O, injects:O, malicious:O, code:O, into:O, Android:B-System, system:O, processes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 change in the way the malware works today may be to help finance the campaign through fraudulent ad activity .' [/INST] [The:O, change:O, in:O, the:O, way:O, the:O, malware:O, works:O, today:O, may:O, be:O, to:O, help:O, finance:O, the:O, campaign:O, through:O, fraudulent:O, ad:O, activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware simulates clicks on app advertisements provided by legitimate ad networks and forces the app to install on a device .' [/INST] [The:O, malware:O, simulates:O, clicks:O, on:O, app:O, advertisements:O, provided:O, by:O, legitimate:O, ad:O, networks:O, and:O, forces:O, the:O, app:O, to:O, install:O, on:O, a: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: 'An attacker is paid by the network when one of these apps is installed successfully .' [/INST] [An:O, attacker:O, is:O, paid:O, by:O, the:O, network:O, when:O, one:O, of:O, these:O, apps:O, is:O, installed:O, successfully:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Logs collected by Check Point researchers show that every day Gooligan installs at least 30,000 apps fraudulently on breached devices or over 2 million apps since the campaign began .' [/INST] [Logs:O, collected:O, by:O, Check:B-Organization, Point:I-Organization, researchers:O, show:O, that:O, every:O, day:O, Gooligan:B-Malware, installs:O, at:O, least:O, 30,000:O, apps:O, fraudulently:O, on:O, breached:O, devices:O, or:O, over:O, 2:O, million:O, apps:O, since:O, the:O, campaign:O, began:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'How does Gooligan work ?' [/INST] [How:O, does:O, Gooligan:B-Malware, work:O, ?:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 infection begins when a user downloads and installs a Gooligan-infected app on a vulnerable Android device .' [/INST] [The:O, infection:O, begins:O, when:O, a:O, user:O, downloads:O, and:O, installs:O, a:O, Gooligan-infected:B-Malware, app:O, on:O, a:O, vulnerable:O, Android: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: 'Our research team has found infected apps on third-party app stores , but they could also be downloaded by Android users directly by tapping malicious links in phishing attack messages .' [/INST] [Our:O, research:O, team:O, has:O, found:O, infected:O, apps:O, on:O, third-party:O, app:O, stores:O, ,:O, but:O, they:O, could:O, also:O, be:O, downloaded:O, by:O, Android:B-System, users:O, directly:O, by:O, tapping:O, malicious:O, links:O, in:O, phishing:O, attack: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: 'After an infected app is installed , it sends data about the device to the campaign ’ s Command and Control ( C & C ) server .' [/INST] [After:O, an:O, infected:O, app:O, is:O, installed:O, ,:O, it:O, sends:O, data:O, about:O, the:O, device:O, to:O, the:O, campaign:O, ’:O, s:O, Command:O, and:O, Control:O, (:O, C:O, &:O, C:O, ):O, server:O, .:O] </s> |