Datasets:

pritamdeka

/

dataset_cyner_valid

like 0

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Riltok mobile Trojan : A banker with global reach 25 JUN 2019 Riltok is one of numerous families of mobile banking Trojans with standard ( for such malware ) functions and distribution methods .' [/INST] [Riltok:B-Malware, mobile:O, Trojan:O, ::O, A:O, banker:O, with:O, global:O, reach:O, 25:O, JUN:O, 2019:O, Riltok:B-Malware, is:O, one:O, of:O, numerous:O, families:O, of:O, mobile:O, banking:O, Trojans:O, with:O, standard:O, (:O, for:O, such:O, malware:O, ):O, functions:O, and:O, distribution: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: 'Originally intended to target the Russian audience , the banker was later adapted , with minimal modifications , for the European “ market. ” The bulk of its victims ( more than 90 % ) reside in Russia , with France in second place ( 4 % ) .' [/INST] [Originally:O, intended:O, to:O, target:O, the:O, Russian:O, audience:O, ,:O, the:O, banker:O, was:O, later:O, adapted:O, ,:O, with:O, minimal:O, modifications:O, ,:O, for:O, the:O, European:O, “:O, market.:O, ”:O, The:O, bulk:O, of:O, its:O, victims:O, (:O, more:O, than:O, 90:O, %:O, ):O, reside:O, in:O, Russia:O, ,:O, with:O, France:O, in:O, second:O, place:O, (:O, 4: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: 'Third place is shared by Italy , Ukraine , and the United Kingdom .' [/INST] [Third:O, place:O, is:O, shared:O, by:O, Italy:O, ,:O, Ukraine:O, ,:O, and:O, the:O, United:O, Kingdom:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 first detected members of this family back in March 2018 .' [/INST] [We:O, first:O, detected:O, members:O, of:O, this:O, family:O, back:O, in:O, March:O, 2018:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Like many other bankers , they were disguised as apps for popular free ad services in Russia .' [/INST] [Like:O, many:O, other:O, bankers:O, ,:O, they:O, were:O, disguised:O, as:O, apps:O, for:O, popular:O, free:O, ad:O, services:O, in:O, Russia:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware was distributed from infected devices via SMS in the form “ % USERNAME % , I ’ ll buy under a secure transaction .' [/INST] [The:O, malware:O, was:O, distributed:O, from:O, infected:O, devices:O, via:O, SMS:O, in:O, the:O, form:O, “:O, %:O, USERNAME:O, %:O, ,:O, I:O, ’:O, ll:O, buy:O, under:O, a:O, secure:O, transaction:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'youlabuy [ .' [/INST] [youlabuy: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: '] ru/7 * * * * * 3 ” or “ % USERNAME % , accept 25,000 on Youla youla-protect [ .' [/INST] []:I-Indicator, ru/7:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, 3:I-Indicator, ”:O, or:O, “:O, %:O, USERNAME:O, %:O, ,:O, accept:O, 25,000:O, on:O, Youla:O, youla-protect: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: '] ru/4 * * * * * 7 ” , containing a link to download the Trojan .' [/INST] []:I-Indicator, ru/4:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, 7:I-Indicator, ”:O, ,:O, containing:O, a:O, link:O, to:O, download:O, the:O, Trojan:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Other samples were also noticed , posing as a client of a ticket-finding service or as an app store for Android .' [/INST] [Other:O, samples:O, were:O, also:O, noticed:O, ,:O, posing:O, as:O, a:O, client:O, of:O, a:O, ticket-finding:O, service:O, or:O, as:O, an:O, app:O, store:O, for: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: 'It was late 2018 when Riltok climbed onto the international stage .' [/INST] [It:O, was:O, late:O, 2018:O, when:O, Riltok:B-Malware, climbed:O, onto:O, the:O, international:O, stage:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The cybercriminals behind it kept the same masking and distribution methods , using names and icons imitating those of popular free ad services .' [/INST] [The:O, cybercriminals:O, behind:O, it:O, kept:O, the:O, same:O, masking:O, and:O, distribution:O, methods:O, ,:O, using:O, names:O, and:O, icons:O, imitating:O, those:O, of:O, popular:O, free:O, ad: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: 'In November 2018 , a version of the Trojan for the English market appeared in the shape of Gumtree.apk .' [/INST] [In:O, November:O, 2018:O, ,:O, a:O, version:O, of:O, the:O, Trojan:O, for:O, the:O, English:O, market:O, appeared:O, in:O, the:O, shape:O, of:O, Gumtree.apk: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 SMS message with a link to a banker looked as follows : “ % USERNAME % , i send you prepayment gumtree [ .' [/INST] [The:O, SMS:O, message:O, with:O, a:O, link:O, to:O, a:O, banker:O, looked:O, as:O, follows:O, ::O, “:O, %:O, USERNAME:O, %:O, ,:O, i:O, send:O, you:O, prepayment:O, gumtree: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: '] cc/3 * * * * * 1 ” .' [/INST] []:I-Indicator, cc/3:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, 1:I-Indicator, ”:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Italian ( Subito.apk ) and French ( Leboncoin.apk ) versions appeared shortly afterwards in January 2019 .' [/INST] [Italian:O, (:O, Subito.apk:B-Indicator, ):O, and:O, French:O, (:O, Leboncoin.apk:B-Indicator, ):O, versions:O, appeared:O, shortly:O, afterwards:O, in:O, January:O, 2019:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 messages looked as follows : “ % USERNAME % , ti ho inviato il soldi sul subito subito-a [ .' [/INST] [The:O, messages:O, looked:O, as:O, follows:O, ::O, “:O, %:O, USERNAME:O, %:O, ,:O, ti:O, ho:O, inviato:O, il:O, soldi:O, sul:O, subito:O, subito-a: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: '] pw/6 * * * * * 5 ” ( It .' [/INST] []:I-Indicator, pw/6:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, 5:I-Indicator, ”:O, (:O, It:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ') “ % USERNAME % , ti ho inviato il pagamento subitop [ .' [/INST] [):O, “:O, %:O, USERNAME:O, %:O, ,:O, ti:O, ho:O, inviato:O, il:O, pagamento:O, subitop: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: '] pw/4 * * * * * 7 ” ( It .' [/INST] []:I-Indicator, pw/4:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, 7:I-Indicator, ”:O, (:O, It:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ') “ % USERNAME % , je vous ai envoyé un prepaiement m-leboncoin [ .' [/INST] [):O, “:O, %:O, USERNAME:O, %:O, ,:O, je:O, vous:O, ai:O, envoyé:O, un:O, prepaiement:O, m-leboncoin: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: '] top/7 * * * * * 3 ” ( Fr .' [/INST] []:I-Indicator, top/7:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, 3:I-Indicator, ”:O, (:O, Fr:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ') “ % USERNAME % , j ’ ai fait l ’ avance ( suivi d ’ un lien ) : leboncoin-le [ .' [/INST] [):O, “:O, %:O, USERNAME:O, %:O, ,:O, j:O, ’:O, ai:O, fait:O, l:O, ’:O, avance:O, (:O, suivi:O, d:O, ’:O, un:O, lien:O, ):O, ::O, leboncoin-le: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: '] com/8 * * * * * 9 ” ( Fr .' [/INST] []:I-Indicator, com/8:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, *:I-Indicator, 9:I-Indicator, ”:O, (:O, Fr:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ') Let ’ s take a more detailed look at how this banking Trojan works .' [/INST] [):O, Let:O, ’:O, s:O, take:O, a:O, more:O, detailed:O, look:O, at:O, how:O, this:O, banking:O, Trojan:O, works:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Infection The user receives an SMS with a malicious link pointing to a fake website simulating a popular free ad service .' [/INST] [Infection:O, The:O, user:O, receives:O, an:O, SMS:O, with:O, a:O, malicious:O, link:O, pointing:O, to:O, a:O, fake:O, website:O, simulating:O, a:O, popular:O, free:O, ad: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: 'There , they are prompted to download a new version of the mobile app , under which guise the Trojan is hidden .' [/INST] [There:O, ,:O, they:O, are:O, prompted:O, to:O, download:O, a:O, new:O, version:O, of:O, the:O, mobile:O, app:O, ,:O, under:O, which:O, guise:O, the:O, Trojan:O, is:O, hidden:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'To be installed , it needs the victim to allow installation of apps from unknown sources in the device settings .' [/INST] [To:O, be:O, installed:O, ,:O, it:O, needs:O, the:O, victim:O, to:O, allow:O, installation:O, of:O, apps:O, from:O, unknown:O, sources:O, in:O, the:O, device: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: 'During installation , Riltok asks the user for permission to use special features in AccessibilityService by displaying a fake warning : If the user ignores or declines the request , the window keeps opening ad infinitum .' [/INST] [During:O, installation:O, ,:O, Riltok:B-Malware, asks:O, the:O, user:O, for:O, permission:O, to:O, use:O, special:O, features:O, in:O, AccessibilityService:O, by:O, displaying:O, a:O, fake:O, warning:O, ::O, If:O, the:O, user:O, ignores:O, or:O, declines:O, the:O, request:O, ,:O, the:O, window:O, keeps:O, opening:O, ad:O, infinitum:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 obtaining the desired rights , the Trojan sets itself as the default SMS app ( by independently clicking Yes in AccessibilityService ) , before vanishing from the device screen .' [/INST] [After:O, obtaining:O, the:O, desired:O, rights:O, ,:O, the:O, Trojan:O, sets:O, itself:O, as:O, the:O, default:O, SMS:O, app:O, (:O, by:O, independently:O, clicking:O, Yes:O, in:O, AccessibilityService:O, ):O, ,:O, before:O, vanishing:O, from:O, the:O, device:O, screen:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 enabling AccessibilityService , the malware sets itself as the default SMS app Now installed and having obtained the necessary permissions from the user , Riltok contacts its C & C server .' [/INST] [After:O, enabling:O, AccessibilityService:O, ,:O, the:O, malware:O, sets:O, itself:O, as:O, the:O, default:O, SMS:O, app:O, Now:O, installed:O, and:O, having:O, obtained:O, the:O, necessary:O, permissions:O, from:O, the:O, user:O, ,:O, Riltok:B-Malware, contacts:O, its:O, C:O, &:O, C:O, server:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In later versions , when it starts , the Trojan additionally opens a phishing site in the browser that simulates a free ad service so as to dupe the user into entering their login credentials and bank card details .' [/INST] [In:O, later:O, versions:O, ,:O, when:O, it:O, starts:O, ,:O, the:O, Trojan:O, additionally:O, opens:O, a:O, phishing:O, site:O, in:O, the:O, browser:O, that:O, simulates:O, a:O, free:O, ad:O, service:O, so:O, as:O, to:O, dupe:O, the:O, user:O, into:O, entering:O, their:O, login:O, credentials:O, and:O, bank:O, card:O, details:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 entered data is forwarded to the cybercriminals .' [/INST] [The:O, entered:O, data:O, is:O, forwarded:O, to:O, the:O, cybercriminals:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Phishing page from the French version of the Trojan Communication with C & C Riltok actively communicates with its C & C server .' [/INST] [Phishing:O, page:O, from:O, the:O, French:O, version:O, of:O, the:O, Trojan:O, Communication:O, with:O, C:O, &:O, C:O, Riltok:B-Malware, actively:O, communicates:O, with:O, its:O, C:O, &:O, C:O, server:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First off , it registers the infected device in the administrative panel by sending a GET request to the relative address gate.php ( in later versions gating.php ) with the ID ( device identifier generated by the setPsuedoID function in a pseudo-random way based on the device IMEI ) and screen ( shows if the device is active , possible values are “ on ” , “ off ” , “ none ” ) parameters .' [/INST] [First:O, off:O, ,:O, it:O, registers:O, the:O, infected:O, device:O, in:O, the:O, administrative:O, panel:O, by:O, sending:O, a:O, GET:O, request:O, to:O, the:O, relative:O, address:O, gate.php:B-Indicator, (:O, in:O, later:O, versions:O, gating.php:B-Indicator, ):O, with:O, the:O, ID:O, (:O, device:O, identifier:O, generated:O, by:O, the:O, setPsuedoID:O, function:O, in:O, a:O, pseudo-random:O, way:O, based:O, on:O, the:O, device:O, IMEI:O, ):O, and:O, screen:O, (:O, shows:O, if:O, the:O, device:O, is:O, active:O, ,:O, possible:O, values:O, are:O, “:O, on:O, ”:O, ,:O, “:O, off:O, ”:O, ,:O, “:O, none:O, ”:O, ):O, parameters:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , using POST requests to the relative address report.php , it sends data about the device ( IMEI , phone number , country , mobile operator , phone model , availability of root rights , OS version ) , list of contacts , list of installed apps , incoming SMS , and other information .' [/INST] [Then:O, ,:O, using:O, POST:O, requests:O, to:O, the:O, relative:O, address:O, report.php:B-Indicator, ,:O, it:O, sends:O, data:O, about:O, the:O, device:O, (:O, IMEI:O, ,:O, phone:O, number:O, ,:O, country:O, ,:O, mobile:O, operator:O, ,:O, phone:O, model:O, ,:O, availability:O, of:O, root:O, rights:O, ,:O, OS:O, version:O, ):O, ,:O, list:O, of:O, contacts:O, ,:O, list:O, of:O, installed:O, apps:O, ,:O, incoming:O, SMS:O, ,:O, and:O, other:O, information:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'From the server , the Trojan receives commands ( for example , to send SMS ) and changes in the configuration .' [/INST] [From:O, the:O, server:O, ,:O, the:O, Trojan:O, receives:O, commands:O, (:O, for:O, example:O, ,:O, to:O, send:O, SMS:O, ):O, and:O, changes:O, in:O, the:O, configuration:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Trojan anatomy The family was named Riltok after the librealtalk-jni.so library contained in the APK file of the Trojan .' [/INST] [Trojan:O, anatomy:O, The:O, family:O, was:O, named:O, Riltok:B-Malware, after:O, the:O, librealtalk-jni.so:B-Indicator, library:O, contained:O, in:O, the:O, APK:O, file:O, of:O, the:O, Trojan:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 library includes such operations as : Get address of cybercriminal C & C server Get configuration file with web injects from C & C , as well as default list of injects Scan for app package names that generated AccessibilityEvent events in the list of known banking/antivirus/other popular apps Set malware as default SMS app Get address of the phishing page that opens when the app runs , and others getStartWebUrl function – get address of phishing page The configuration file contains a list of injects for mobile banking apps – links to phishing pages matching the mobile' [/INST] [The:O, library:O, includes:O, such:O, operations:O, as:O, ::O, Get:O, address:O, of:O, cybercriminal:O, C:O, &:O, C:O, server:O, Get:O, configuration:O, file:O, with:O, web:O, injects:O, from:O, C:O, &:O, C:O, ,:O, as:O, well:O, as:O, default:O, list:O, of:O, injects:O, Scan:O, for:O, app:O, package:O, names:O, that:O, generated:O, AccessibilityEvent:O, events:O, in:O, the:O, list:O, of:O, known:O, banking/antivirus/other:O, popular:O, apps:O, Set:O, malware:O, as:O, default:O, SMS:O, app:O, Get:O, address:O, of:O, the:O, phishing:O, page:O, that:O, opens:O, when:O, the:O, app:O, runs:O, ,:O, and:O, others:O, getStartWebUrl:O, function:O, –:O, get:O, address:O, of:O, phishing:O, page:O, The:O, configuration:O, file:O, contains:O, a:O, list:O, of:O, injects:O, for:O, mobile:O, banking:O, apps:O, –:O, links:O, to:O, phishing:O, pages:O, matching:O, the:O, mobile:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'banking app used by the user .' [/INST] [banking:O, app:O, used: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: 'In most so-called Western versions of the Trojan , the package names in the default configuration file are erased .' [/INST] [In:O, most:O, so-called:O, Western:O, versions:O, of:O, the:O, Trojan:O, ,:O, the:O, package:O, names:O, in:O, the:O, default:O, configuration:O, file:O, are:O, erased:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sample configuration file of the Trojan Through AccessibilityService , the malware monitors AccessibilityEvent events .' [/INST] [Sample:O, configuration:O, file:O, of:O, the:O, Trojan:O, Through:O, AccessibilityService:O, ,:O, the:O, malware:O, monitors:O, AccessibilityEvent: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: 'Depending on which app ( package name ) generated the event , Riltok can : Open a fake Google Play screen requesting bank card details Open a fake screen or phishing page in a browser ( inject ) mimicking the screen of the relevant mobile banking app and requesting user/bank card details Minimize the app ( for example , antivirus applications or device security settings ) Additionally , the Trojan can hide notifications from certain banking apps .' [/INST] [Depending:O, on:O, which:O, app:O, (:O, package:O, name:O, ):O, generated:O, the:O, event:O, ,:O, Riltok:B-Malware, can:O, ::O, Open:O, a:O, fake:O, Google:B-System, Play:I-System, screen:O, requesting:O, bank:O, card:O, details:O, Open:O, a:O, fake:O, screen:O, or:O, phishing:O, page:O, in:O, a:O, browser:O, (:O, inject:O, ):O, mimicking:O, the:O, screen:O, of:O, the:O, relevant:O, mobile:O, banking:O, app:O, and:O, requesting:O, user/bank:O, card:O, details:O, Minimize:O, the:O, app:O, (:O, for:O, example:O, ,:O, antivirus:O, applications:O, or:O, device:O, security:O, settings:O, ):O, Additionally:O, ,:O, the:O, Trojan:O, can:O, hide:O, notifications:O, from:O, certain:O, banking: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: 'List of package names of apps on events from which the Trojan opens a fake Google Play window ( for the Russian version of the Trojan ) Example of Trojan screen overlapping other apps When bank card details are entered in the fake window , Riltok performs basic validation checks : card validity period , number checksum , CVC length , whether the number is in the denylist sewn into the Trojan code : Examples of phishing pages imitating mobile banks At the time of writing , the functionality of most of the Western versions of Riltok' [/INST] [List:O, of:O, package:O, names:O, of:O, apps:O, on:O, events:O, from:O, which:O, the:O, Trojan:O, opens:O, a:O, fake:O, Google:B-System, Play:I-System, window:O, (:O, for:O, the:O, Russian:O, version:O, of:O, the:O, Trojan:O, ):O, Example:O, of:O, Trojan:O, screen:O, overlapping:O, other:O, apps:O, When:O, bank:O, card:O, details:O, are:O, entered:O, in:O, the:O, fake:O, window:O, ,:O, Riltok:O, performs:O, basic:O, validation:O, checks:O, ::O, card:O, validity:O, period:O, ,:O, number:O, checksum:O, ,:O, CVC:O, length:O, ,:O, whether:O, the:O, number:O, is:O, in:O, the:O, denylist:O, sewn:O, into:O, the:O, Trojan:O, code:O, ::O, Examples:O, of:O, phishing:O, pages:O, imitating:O, mobile:O, banks:O, At:O, the:O, time:O, of:O, writing:O, ,:O, the:O, functionality:O, of:O, most:O, of:O, the:O, Western:O, versions:O, of:O, Riltok:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'was somewhat pared down compared to the Russian one .' [/INST] [was:O, somewhat:O, pared:O, down:O, compared:O, to:O, the:O, Russian:O, one:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For example , the default configuration file with injects is non-operational , and the malware contains no fake built-in windows requesting bank card details .' [/INST] [For:O, example:O, ,:O, the:O, default:O, configuration:O, file:O, with:O, injects:O, is:O, non-operational:O, ,:O, and:O, the:O, malware:O, contains:O, no:O, fake:O, built-in:O, windows:O, requesting:O, bank:O, card:O, details:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Threats are better prevented than cured , so do not follow suspicious links in SMS , and be sure to install apps only from official sources and check what permissions you are granting during installation .' [/INST] [Conclusion:O, Threats:O, are:O, better:O, prevented:O, than:O, cured:O, ,:O, so:O, do:O, not:O, follow:O, suspicious:O, links:O, in:O, SMS:O, ,:O, and:O, be:O, sure:O, to:O, install:O, apps:O, only:O, from:O, official:O, sources:O, and:O, check:O, what:O, permissions:O, you:O, are:O, granting:O, during:O, installation:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Riltok shows , cybercriminals can apply the same methods of infection to victims in different countries with more or less the same success .' [/INST] [As:O, Riltok:B-Malware, shows:O, ,:O, cybercriminals:O, can:O, apply:O, the:O, same:O, methods:O, of:O, infection:O, to:O, victims:O, in:O, different:O, countries:O, with:O, more:O, or:O, less:O, the:O, same:O, success:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Kaspersky products detect the above-described threat with the verdict Trojan-Banker.AndroidOS.Riltok .' [/INST] [Kaspersky:B-Organization, products:O, detect:O, the:O, above-described:O, threat:O, with:O, the:O, verdict:O, Trojan-Banker.AndroidOS.Riltok: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: 'IoCs C & C 100.51.100.00 108.62.118.131 172.81.134.165 172.86.120.207 185.212.128.152 185.212.128.192 185.61.000.108 185.61.138.108 185.61.138.37 188.209.52.101 5.206.225.57 alr992.date avito-app.pw backfround2.pw background1.xyz blacksolider93.com blass9g087.com brekelter2.com broplar3hf.xyz buy-youla.ru' [/INST] [IoCs:O, C:O, &:O, C:O, 100.51.100.00:B-Indicator, 108.62.118.131:B-Indicator, 172.81.134.165:B-Indicator, 172.86.120.207:B-Indicator, 185.212.128.152:B-Indicator, 185.212.128.192:B-Indicator, 185.61.000.108:B-Indicator, 185.61.138.108:B-Indicator, 185.61.138.37:B-Indicator, 188.209.52.101:B-Indicator, 5.206.225.57:B-Indicator, alr992.date:B-Indicator, avito-app.pw:B-Indicator, backfround2.pw:B-Indicator, background1.xyz:B-Indicator, blacksolider93.com:B-Indicator, blass9g087.com:B-Indicator, brekelter2.com:B-Indicator, broplar3hf.xyz:B-Indicator, buy-youla.ru: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: 'cd78cg210xy0.com copsoiteess.com farmatefc93.org firstclinsop.com holebrhuhh3.com holebrhuhh45.com karambga3j.net le22999a.pw leboncoin-bk.top leboncoin-buy.pw leboncoin-cz.info leboncoin-f.pw leboncoin-jp.info leboncoin-kp.top leboncoin-ny.info leboncoin-ql.top leboncoin-tr.info' [/INST] [cd78cg210xy0.com:B-Indicator, copsoiteess.com:B-Indicator, farmatefc93.org:B-Indicator, firstclinsop.com:B-Indicator, holebrhuhh3.com:B-Indicator, holebrhuhh45.com:B-Indicator, karambga3j.net:B-Indicator, le22999a.pw:B-Indicator, leboncoin-bk.top:B-Indicator, leboncoin-buy.pw:B-Indicator, leboncoin-cz.info:B-Indicator, leboncoin-f.pw:B-Indicator, leboncoin-jp.info:B-Indicator, leboncoin-kp.top:B-Indicator, leboncoin-ny.info:B-Indicator, leboncoin-ql.top:B-Indicator, leboncoin-tr.info: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: 'myyoula.ru sell-avito.ru sell-youla.ru sentel8ju67.com subito-li.pw subitop.pw web-gumtree.com whitehousejosh.com whitekalgoy3.com youlaprotect.ru Examples of malware 0497b6000a7a23e9e9b97472bc2d3799caf49cbbea1627ad4d87ae6e0b7e2a98 417fc112cd0610cc8c402742b0baab0a086b5c4164230009e11d34fdeee7d3fa' [/INST] [myyoula.ru:B-Indicator, sell-avito.ru:B-Indicator, sell-youla.ru:B-Indicator, sentel8ju67.com:B-Indicator, subito-li.pw:B-Indicator, subitop.pw:B-Indicator, web-gumtree.com:B-Indicator, whitehousejosh.com:B-Indicator, whitekalgoy3.com:B-Indicator, youlaprotect.ru:B-Indicator, Examples:O, of:O, malware:O, 0497b6000a7a23e9e9b97472bc2d3799caf49cbbea1627ad4d87ae6e0b7e2a98:B-Indicator, 417fc112cd0610cc8c402742b0baab0a086b5c4164230009e11d34fdeee7d3fa: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: '54594edbe9055517da2836199600f682dee07e6b405c6fe4b476627e8d184bfe 6e995d68c724f121d43ec2ff59bc4e536192360afa3beaec5646f01094f0b745 bbc268ca63eeb27e424fec1b3976bab550da304de18e29faff94d9057b1fa25a dc3dd9d75120934333496d0a4100252b419ee8fcdab5d74cf343bcb0306c9811' [/INST] [54594edbe9055517da2836199600f682dee07e6b405c6fe4b476627e8d184bfe:B-Indicator, 6e995d68c724f121d43ec2ff59bc4e536192360afa3beaec5646f01094f0b745:B-Indicator, bbc268ca63eeb27e424fec1b3976bab550da304de18e29faff94d9057b1fa25a:B-Indicator, dc3dd9d75120934333496d0a4100252b419ee8fcdab5d74cf343bcb0306c9811: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: 'e3f77ff093f322e139940b33994c5a57ae010b66668668dc4945142a81bcc049 ebd0a8043434edac261cb25b94f417188a5c0d62b5dd4033f156b890d150a4c5 f51a27163cb0ddd08caa29d865b9f238848118ba2589626af711330481b352df Tracking down the developer of Android adware affecting' [/INST] [e3f77ff093f322e139940b33994c5a57ae010b66668668dc4945142a81bcc049:B-Indicator, ebd0a8043434edac261cb25b94f417188a5c0d62b5dd4033f156b890d150a4c5:B-Indicator, f51a27163cb0ddd08caa29d865b9f238848118ba2589626af711330481b352df:B-Indicator, Tracking:O, down:O, the:O, developer:O, of:O, Android:B-System, adware:O, affecting:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'millions of users 24 Oct 2019 - 11:30AM We detected a large adware campaign running for about a year , with the involved apps installed eight million times from Google Play alone .' [/INST] [millions:O, of:O, users:O, 24:O, Oct:O, 2019:O, -:O, 11:30AM:O, We:O, detected:O, a:O, large:O, adware:O, campaign:O, running:O, for:O, about:O, a:O, year:O, ,:O, with:O, the:O, involved:O, apps:O, installed:O, eight:O, million:O, times:O, from:O, Google:B-System, Play:I-System, alone:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 identified 42 apps on Google Play as belonging to the campaign , which had been running since July 2018 .' [/INST] [We:O, identified:O, 42:O, apps:O, on:O, Google:B-System, Play:I-System, as:O, belonging:O, to:O, the:O, campaign:O, ,:O, which:O, had:O, been:O, running:O, since:O, July:O, 2018:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Of those , 21 were still available at the time of discovery .' [/INST] [Of:O, those:O, ,:O, 21:O, were:O, still:O, available:O, at:O, the:O, time:O, of:O, discovery:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 reported the apps to the Google security team and they were swiftly removed .' [/INST] [We:O, reported:O, the:O, apps:O, to:O, the:O, Google:O, security:O, team:O, and:O, they:O, were:O, swiftly:O, removed:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 apps are still available in third-party app stores .' [/INST] [However:O, ,:O, the:O, apps:O, are:O, still:O, available:O, in:O, third-party: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: 'ESET detects this adware , collectively , as Android/AdDisplay.Ashas .' [/INST] [ESET:B-Organization, detects:O, this:O, adware:O, ,:O, collectively:O, ,:O, as:O, Android/AdDisplay.Ashas: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: 'Figure 1 .' [/INST] [Figure:O, 1:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Apps of the Android/AdDisplay.Ashas family reported to Google by ESET Figure 2 .' [/INST] [Apps:O, of:O, the:O, Android/AdDisplay.Ashas:B-Malware, family:O, reported:O, to:O, Google:O, by:O, ESET:B-Organization, Figure:O, 2:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 most popular member of the Android/AdDisplay.Ashas family on Google Play was “ Video downloader master ” with over five million downloads Ashas functionality All the apps provide the functionality they promise , besides working as adware .' [/INST] [The:O, most:O, popular:O, member:O, of:O, the:O, Android/AdDisplay.Ashas:B-Malware, family:I-Malware, on:O, Google:B-System, Play:I-System, was:O, “:O, Video:O, downloader:O, master:O, ”:O, with:O, over:O, five:O, million:O, downloads:O, Ashas:B-Malware, functionality:O, All:O, the:O, apps:O, provide:O, the:O, functionality:O, they:O, promise:O, ,:O, besides:O, working:O, as:O, adware:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 adware functionality is the same in all the apps we analyzed .' [/INST] [The:O, adware:O, functionality:O, is:O, the:O, same:O, in:O, all:O, the:O, apps:O, we:O, analyzed:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '[ Note : The analysis of the functionality below describes a single app , but applies to all apps of the Android/AdDisplay.Ashas family .' [/INST] [[:O, Note:O, ::O, The:O, analysis:O, of:O, the:O, functionality:O, below:O, describes:O, a:O, single:O, app:O, ,:O, but:O, applies:O, to:O, all:O, apps:O, of:O, the:O, Android/AdDisplay.Ashas:B-Malware, family: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: '] Once launched , the app starts to communicate with its C & C server ( whose IP address is base64-encoded in the app ) .' [/INST] []:O, Once:O, launched:O, ,:O, the:O, app:O, starts:O, to:O, communicate:O, with:O, its:O, C:O, &:O, C:O, server:O, (:O, whose:O, IP:O, address:O, is:O, base64-encoded:O, in:O, the:O, app:O, ):O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It sends “ home ” key data about the affected device : device type , OS version , language , number of installed apps , free storage space , battery status , whether the device is rooted and Developer mode enabled , and whether Facebook and FB Messenger are installed .' [/INST] [It:O, sends:O, “:O, home:O, ”:O, key:O, data:O, about:O, the:O, affected:O, device:O, ::O, device:O, type:O, ,:O, OS:O, version:O, ,:O, language:O, ,:O, number:O, of:O, installed:O, apps:O, ,:O, free:O, storage:O, space:O, ,:O, battery:O, status:O, ,:O, whether:O, the:O, device:O, is:O, rooted:O, and:O, Developer:O, mode:O, enabled:O, ,:O, and:O, whether:O, Facebook:B-Organization, and:O, FB:O, Messenger:B-System, are:O, installed:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 3 .' [/INST] [Figure:O, 3:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sending information about the affected device The app receives configuration data from the C & C server , needed for displaying ads , and for stealth and resilience .' [/INST] [Sending:O, information:O, about:O, the:O, affected:O, device:O, The:O, app:O, receives:O, configuration:O, data:O, from:O, the:O, C:O, &:O, C:O, server:O, ,:O, needed:O, for:O, displaying:O, ads:O, ,:O, and:O, for:O, stealth:O, and:O, resilience:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 4 .' [/INST] [Figure:O, 4:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Configuration file received from the C & C server As for stealth and resilience , the attacker uses a number of tricks .' [/INST] [Configuration:O, file:O, received:O, from:O, the:O, C:O, &:O, C:O, server:O, As:O, for:O, stealth:O, and:O, resilience:O, ,:O, the:O, attacker:O, uses:O, a:O, number:O, of: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: 'First , the malicious app tries to determine whether it is being tested by the Google Play security mechanism .' [/INST] [First:O, ,:O, the:O, malicious:O, app:O, tries:O, to:O, determine:O, whether:O, it:O, is:O, being:O, tested:O, by:O, the:O, Google:B-System, Play:I-System, security: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: 'For this purpose , the app receives from the C & C server the isGoogleIp flag , which indicates whether the IP address of the affected device falls within the range of known IP addresses for Google servers .' [/INST] [For:O, this:O, purpose:O, ,:O, the:O, app:O, receives:O, from:O, the:O, C:O, &:O, C:O, server:O, the:O, isGoogleIp:O, flag:O, ,:O, which:O, indicates:O, whether:O, the:O, IP:O, address:O, of:O, the:O, affected:O, device:O, falls:O, within:O, the:O, range:O, of:O, known:O, IP:O, addresses:O, for:O, Google:O, servers:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 server returns this flag as positive , the app will not trigger the adware payload .' [/INST] [If:O, the:O, server:O, returns:O, this:O, flag:O, as:O, positive:O, ,:O, the:O, app:O, will:O, not:O, trigger:O, the:O, adware:O, payload:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Second , the app can set a custom delay between displaying ads .' [/INST] [Second:O, ,:O, the:O, app:O, can:O, set:O, a:O, custom:O, delay:O, between:O, displaying:O, ads:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The samples we have seen had their configuration set to delay displaying the first ad by 24 minutes after the device unlocks .' [/INST] [The:O, samples:O, we:O, have:O, seen:O, had:O, their:O, configuration:O, set:O, to:O, delay:O, displaying:O, the:O, first:O, ad:O, by:O, 24:O, minutes:O, after:O, the:O, device:O, unlocks:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 delay means that a typical testing procedure , which takes less than 10 minutes , will not detect any unwanted behavior .' [/INST] [This:O, delay:O, means:O, that:O, a:O, typical:O, testing:O, procedure:O, ,:O, which:O, takes:O, less:O, than:O, 10:O, minutes:O, ,:O, will:O, not:O, detect:O, any:O, unwanted:O, behavior:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Also , the longer the delay , the lower the risk of the user associating the unwanted ads with a particular app .' [/INST] [Also:O, ,:O, the:O, longer:O, the:O, delay:O, ,:O, the:O, lower:O, the:O, risk:O, of:O, the:O, user:O, associating:O, the:O, unwanted:O, ads:O, with:O, a:O, particular: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: 'Third , based on the server response , the app can also hide its icon and create a shortcut instead .' [/INST] [Third:O, ,:O, based:O, on:O, the:O, server:O, response:O, ,:O, the:O, app:O, can:O, also:O, hide:O, its:O, icon:O, and:O, create:O, a:O, shortcut:O, instead:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 a typical user tries to get rid of the malicious app , chances are that only the shortcut ends up getting removed .' [/INST] [If:O, a:O, typical:O, user:O, tries:O, to:O, get:O, rid:O, of:O, the:O, malicious:O, app:O, ,:O, chances:O, are:O, that:O, only:O, the:O, shortcut:O, ends:O, up:O, getting:O, removed:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 app then continues to run in the background without the user ’ s knowledge .' [/INST] [The:O, app:O, then:O, continues:O, to:O, run:O, in:O, the:O, background:O, without:O, the:O, user:O, ’:O, s:O, knowledge:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 stealth technique has been gaining popularity among adware-related threats distributed via Google Play .' [/INST] [This:O, stealth:O, technique:O, has:O, been:O, gaining:O, popularity:O, among:O, adware-related:O, threats:O, distributed:O, via:O, Google:B-System, Play:I-System, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 5 .' [/INST] [Figure:O, 5:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Time delay to postpone displaying ads implemented by the adware Once the malicious app receives its configuration data , the affected device is ready to display ads as per the attacker ’ s choice ; each ad is displayed as a full screen activity .' [/INST] [Time:O, delay:O, to:O, postpone:O, displaying:O, ads:O, implemented:O, by:O, the:O, adware:O, Once:O, the:O, malicious:O, app:O, receives:O, its:O, configuration:O, data:O, ,:O, the:O, affected:O, device:O, is:O, ready:O, to:O, display:O, ads:O, as:O, per:O, the:O, attacker:O, ’:O, s:O, choice:O, ;:O, each:O, ad:O, is:O, displayed:O, as:O, a:O, full:O, screen: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: 'If the user wants to check which app is responsible for the ad being displayed , by hitting the “ Recent apps ” button , another trick is used : the app displays a Facebook or Google icon , as seen in Figure 6 .' [/INST] [If:O, the:O, user:O, wants:O, to:O, check:O, which:O, app:O, is:O, responsible:O, for:O, the:O, ad:O, being:O, displayed:O, ,:O, by:O, hitting:O, the:O, “:O, Recent:O, apps:O, ”:O, button:O, ,:O, another:O, trick:O, is:O, used:O, ::O, the:O, app:O, displays:O, a:O, Facebook:B-Organization, or:O, Google:B-Organization, icon:O, ,:O, as:O, seen:O, in:O, Figure:O, 6:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 adware mimics these two apps to look legitimate and avoid suspicion – and thus stay on the affected device for as long as possible .' [/INST] [The:O, adware:O, mimics:O, these:O, two:O, apps:O, to:O, look:O, legitimate:O, and:O, avoid:O, suspicion:O, –:O, and:O, thus:O, stay:O, on:O, the:O, affected:O, device:O, for:O, as:O, long:O, as:O, possible:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 6 .' [/INST] [Figure:O, 6:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 adware activity impersonates Facebook ( left ) .' [/INST] [The:O, adware:O, activity:O, impersonates:O, Facebook:B-Organization, (:O, left:O, ):O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the user long-presses the icon , the name of the app responsible for the activity is revealed ( right ) .' [/INST] [If:O, the:O, user:O, long-presses:O, the:O, icon:O, ,:O, the:O, name:O, of:O, the:O, app:O, responsible:O, for:O, the:O, activity:O, is:O, revealed:O, (:O, right: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: 'Finally , the Ashas adware family has its code hidden under the com.google.xxx package name .' [/INST] [Finally:O, ,:O, the:O, Ashas:B-Malware, adware:O, family:O, has:O, its:O, code:O, hidden:O, under:O, the:O, com.google.xxx:O, package: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: 'This trick – posing as a part of a legitimate Google service – may help avoid scrutiny .' [/INST] [This:O, trick:O, –:O, posing:O, as:O, a:O, part:O, of:O, a:O, legitimate:O, Google:B-Organization, service:O, –:O, may:O, help:O, avoid:O, scrutiny:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 detection mechanisms and sandboxes may whitelist such package names , in an effort to prevent wasting resources .' [/INST] [Some:O, detection:O, mechanisms:O, and:O, sandboxes:O, may:O, whitelist:O, such:O, package:O, names:O, ,:O, in:O, an:O, effort:O, to:O, prevent:O, wasting: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: 'Figure 7 .' [/INST] [Figure:O, 7:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Malicious code hidden in a package named “ com.google ” Hunting down the developer Using open-source information , we tracked down the developer of the adware , who we also identified as the campaign ’ s operator and owner of the C & C server .' [/INST] [Malicious:O, code:O, hidden:O, in:O, a:O, package:O, named:O, “:O, com.google:O, ”:O, Hunting:O, down:O, the:O, developer:O, Using:O, open-source:O, information:O, ,:O, we:O, tracked:O, down:O, the:O, developer:O, of:O, the:O, adware:O, ,:O, who:O, we:O, also:O, identified:O, as:O, the:O, campaign:O, ’:O, s:O, operator:O, and:O, owner:O, of: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: 'In the following paragraphs , we outline our efforts to discover other applications from the same developer and protect our users from it .' [/INST] [In:O, the:O, following:O, paragraphs:O, ,:O, we:O, outline:O, our:O, efforts:O, to:O, discover:O, other:O, applications:O, from:O, the:O, same:O, developer:O, and:O, protect:O, our:O, users:O, from:O, it:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First , based on information that is associated with the registered C & C domain , we identified the name of the registrant , along with further data like country and email address , as seen in Figure 8 .' [/INST] [First:O, ,:O, based:O, on:O, information:O, that:O, is:O, associated:O, with:O, the:O, registered:O, C:O, &:O, C:O, domain:O, ,:O, we:O, identified:O, the:O, name:O, of:O, the:O, registrant:O, ,:O, along:O, with:O, further:O, data:O, like:O, country:O, and:O, email:O, address:O, ,:O, as:O, seen:O, in:O, Figure:O, 8:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 8 .' [/INST] [Figure:O, 8:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Information about the C & C domain used by the Ashas adware Knowing that the information provided to a domain registrar might be fake , we continued our search .' [/INST] [Information:O, about:O, the:O, C:O, &:O, C:O, domain:O, used:O, by:O, the:O, Ashas:B-Malware, adware:O, Knowing:O, that:O, the:O, information:O, provided:O, to:O, a:O, domain:O, registrar:O, might:O, be:O, fake:O, ,:O, we:O, continued:O, our:O, search:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 email address and country information drove us to a list of students attending a class at a Vietnamese university – corroborating the existence of the person under whose name the domain was registered .' [/INST] [The:O, email:O, address:O, and:O, country:O, information:O, drove:O, us:O, to:O, a:O, list:O, of:O, students:O, attending:O, a:O, class:O, at:O, a:O, Vietnamese:O, university:O, –:O, corroborating:O, the:O, existence:O, of:O, the:O, person:O, under:O, whose:O, name:O, the:O, domain:O, was:O, registered:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 9 .' [/INST] [Figure:O, 9:O, .:O] </s>