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<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This is most probably how the application spreads .' [/INST] [This:O, is:O, most:O, probably:O, how:O, the:O, application:O, spreads:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CONTACTS_PRO β request unique message text for contacts from the address book .' [/INST] [CONTACTS_PRO:O, β:O, request:O, unique:O, message:O, text:O, for:O, contacts:O, from:O, the:O, address:O, book:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PAGE β contact URL received from C & C using User-Agent value that was also received from C & C or local database .' [/INST] [PAGE:O, β:O, contact:O, URL:O, received:O, from:O, C:O, &:O, C:O, using:O, User-Agent:O, value:O, that:O, was:O, also:O, received:O, from:O, C:O, &:O, C:O, or:O, local:O, database:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ALLMSG β send C & C all SMSs received and sent by user , as stored in phone memory .' [/INST] [ALLMSG:O, β:O, send:O, C:O, &:O, C:O, all:O, SMSs:O, received:O, and:O, sent:O, by:O, user:O, ,:O, as:O, stored:O, in:O, phone:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ALLCONTACTS β send all contacts from phone memory to C & C .' [/INST] [ALLCONTACTS:O, β:O, send:O, all:O, contacts:O, from:O, phone:O, memory:O, to:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ONLINE β send information about Trojan β s current status to C & C : whether it has device administrator privileges , which HTML page is currently displayed , whether screen is on or off , etc .' [/INST] [ONLINE:O, β:O, send:O, information:O, about:O, Trojan:O, β:O, s:O, current:O, status:O, to:O, C:O, &:O, C:O, ::O, whether:O, it:O, has:O, device:O, administrator:O, privileges:O, ,:O, which:O, HTML:O, page:O, is:O, currently:O, displayed:O, ,:O, whether:O, screen:O, is:O, on:O, or:O, off:O, ,:O, etc:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'NEWMSG β write an SMS to the device memory containing the text and sender number sent from C & C .' [/INST] [NEWMSG:O, β:O, write:O, an:O, SMS:O, to:O, the:O, device:O, memory:O, containing:O, the:O, text:O, and:O, sender:O, number:O, sent:O, from:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CHANGE_GCM_ID β change GCM ID .' [/INST] [CHANGE_GCM_ID:O, β:O, change:O, GCM:O, ID:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BLOCKER_BANKING_START β display phishing HTML page for entry of bank card details .' [/INST] [BLOCKER_BANKING_START:O, β:O, display:O, phishing:O, HTML:O, page:O, for:O, entry:O, of: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: 'BLOCKER_EXTORTIONIST_START β display HTML page of the ransomware .' [/INST] [BLOCKER_EXTORTIONIST_START:O, β:O, display:O, HTML:O, page:O, of:O, the:O, ransomware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BLOCKER_UPDATE_START β display fake HTML page for update .' [/INST] [BLOCKER_UPDATE_START:O, β:O, display:O, fake:O, HTML:O, page:O, for:O, update:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BLOCKER_STOP β block display of all HTML pages .' [/INST] [BLOCKER_STOP:O, β:O, block:O, display:O, of:O, all:O, HTML:O, pages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The C & C role for Rotexy can be filled not only by a web server but also by any device that can send SMSs .' [/INST] [The:O, C:O, &:O, C:O, role:O, for:O, Rotexy:B-Malware, can:O, be:O, filled:O, not:O, only:O, by:O, a:O, web:O, server:O, but:O, also:O, by:O, any:O, device:O, that:O, can:O, send:O, SMSs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 intercepts incoming SMSs and can receive the following commands from them : β 3458 β β revoke device administrator privileges from the app ; β hi β , β ask β β enable and disable mobile internet ; β privet β , β ru β β enable and disable Wi-Fi ; β check β β send text β install : [ device IMEI ] β to phone number from which SMS was sent ; β stop_blocker β β stop displaying all blocking HTML pages ; β 393838 β β change C & C address to that specified in the' [/INST] [The:O, Trojan:O, intercepts:O, incoming:O, SMSs:O, and:O, can:O, receive:O, the:O, following:O, commands:O, from:O, them:O, ::O, β:O, 3458:O, β:O, β:O, revoke:O, device:O, administrator:O, privileges:O, from:O, the:O, app:O, ;:O, β:O, hi:O, β:O, ,:O, β:O, ask:O, β:O, β:O, enable:O, and:O, disable:O, mobile:O, internet:O, ;:O, β:O, privet:O, β:O, ,:O, β:O, ru:O, β:O, β:O, enable:O, and:O, disable:O, Wi-Fi:O, ;:O, β:O, check:O, β:O, β:O, send:O, text:O, β:O, install:O, ::O, [:O, device:O, IMEI:O, ]:O, β:O, to:O, phone:O, number:O, from:O, which:O, SMS:O, was:O, sent:O, ;:O, β:O, stop_blocker:O, β:O, β:O, stop:O, displaying:O, all:O, blocking:O, HTML:O, pages:O, ;:O, β:O, 393838:O, β:O, β:O, change:O, C:O, &:O, C:O, address:O, to:O, that:O, specified:O, in:O, the:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'SMS .' [/INST] [SMS:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 all actions performed by Rotexy is logged in the local database and sent to the C & C .' [/INST] [Information:O, about:O, all:O, actions:O, performed:O, by:O, Rotexy:B-Malware, is:O, logged:O, in:O, the:O, local:O, database:O, and:O, sent:O, to:O, the:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The server then sends a reply that contains instructions on further actions to be taken .' [/INST] [The:O, server:O, then:O, sends:O, a:O, reply:O, that:O, contains:O, instructions:O, on:O, further:O, actions:O, to:O, be:O, taken:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Displaying HTML pages We β ll now look at the HTML pages that Rotexy displays and the actions performed with them .' [/INST] [Displaying:O, HTML:O, pages:O, We:O, β:O, ll:O, now:O, look:O, at:O, the:O, HTML:O, pages:O, that:O, Rotexy:B-Malware, displays:O, and:O, the:O, actions:O, performed:O, with:O, them:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Trojan displays a fake HTML update page ( update.html ) that blocks the device β s screen for a long period of time .' [/INST] [The:O, Trojan:O, displays:O, a:O, fake:O, HTML:O, update:O, page:O, (:O, update.html:B-Indicator, ):O, that:O, blocks:O, the:O, device:O, β:O, s:O, screen:O, for:O, a:O, long:O, period:O, of:O, time:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 displays the extortion page ( extortionist.html ) that blocks the device and demands a ransom for unblocking it .' [/INST] [The:O, Trojan:O, displays:O, the:O, extortion:O, page:O, (:O, extortionist.html:B-Indicator, ):O, that:O, blocks:O, the:O, device:O, and:O, demands:O, a:O, ransom:O, for:O, unblocking: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: 'The sexually explicit images in this screenshot have been covered with a black box .' [/INST] [The:O, sexually:O, explicit:O, images:O, in:O, this:O, screenshot:O, have:O, been:O, covered:O, with:O, a:O, black:O, box:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 displays a phishing page ( bank.html ) prompting the user to enter their bank card details .' [/INST] [The:O, Trojan:O, displays:O, a:O, phishing:O, page:O, (:O, bank.html:B-Indicator, ):O, prompting:O, the:O, user:O, to:O, enter:O, their: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: 'This page mimics a legitimate bank form and blocks the device screen until the user enters all the information .' [/INST] [This:O, page:O, mimics:O, a:O, legitimate:O, bank:O, form:O, and:O, blocks:O, the:O, device:O, screen:O, until:O, the:O, user:O, enters:O, all:O, the: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: 'It even has its own virtual keyboard that supposedly protects the victim from keyloggers .' [/INST] [It:O, even:O, has:O, its:O, own:O, virtual:O, keyboard:O, that:O, supposedly:O, protects:O, the:O, victim:O, from:O, keyloggers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 areas marked β { text } β Rotexy displays the text it receives from the C & C .' [/INST] [In:O, the:O, areas:O, marked:O, β:O, {:O, text:O, }:O, β:O, Rotexy:B-Malware, displays:O, the:O, text:O, it:O, receives:O, from:O, the:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Typically , it is a message saying that the user has received a money transfer , and that they must enter their bank card details so the money can be transferred to their account .' [/INST] [Typically:O, ,:O, it:O, is:O, a:O, message:O, saying:O, that:O, the:O, user:O, has:O, received:O, a:O, money:O, transfer:O, ,:O, and:O, that:O, they:O, must:O, enter:O, their:O, bank:O, card:O, details:O, so:O, the:O, money:O, can:O, be:O, transferred:O, to:O, their:O, account:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The entered data is then checked and the last four digits of the bank card number are also checked against the data sent in the C & C command .' [/INST] [The:O, entered:O, data:O, is:O, then:O, checked:O, and:O, the:O, last:O, four:O, digits:O, of:O, the:O, bank:O, card:O, number:O, are:O, also:O, checked:O, against:O, the:O, data:O, sent:O, in:O, the:O, C:O, &:O, C:O, command:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 following scenario may play out : according to the templates for processing incoming SMSs , Rotexy intercepts a message from the bank that contains the last four digits of the bank card connected to the phone number .' [/INST] [The:O, following:O, scenario:O, may:O, play:O, out:O, ::O, according:O, to:O, the:O, templates:O, for:O, processing:O, incoming:O, SMSs:O, ,:O, Rotexy:B-Malware, intercepts:O, a:O, message:O, from:O, the:O, bank:O, that:O, contains:O, the:O, last:O, four:O, digits:O, of:O, the:O, bank:O, card:O, connected:O, to:O, the:O, phone:O, number:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Trojan sends these digits to the C & C , which in turn sends a command to display a fake data entry window to check the four digits .' [/INST] [The:O, Trojan:O, sends:O, these:O, digits:O, to:O, the:O, C:O, &:O, C:O, ,:O, which:O, in:O, turn:O, sends:O, a:O, command:O, to:O, display:O, a:O, fake:O, data:O, entry:O, window:O, to:O, check:O, the:O, four:O, digits:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 has provided the details of another card , then the following window is displayed : The application leaves the user with almost no option but to enter the correct card number , as it checks the entered number against the bank card details the cybercriminals received earlier .' [/INST] [If:O, the:O, user:O, has:O, provided:O, the:O, details:O, of:O, another:O, card:O, ,:O, then:O, the:O, following:O, window:O, is:O, displayed:O, ::O, The:O, application:O, leaves:O, the:O, user:O, with:O, almost:O, no:O, option:O, but:O, to:O, enter:O, the:O, correct:O, card:O, number:O, ,:O, as:O, it:O, checks:O, the:O, entered:O, number:O, against:O, the:O, bank:O, card:O, details:O, the:O, cybercriminals:O, received:O, earlier:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When all the necessary card details are entered and have been checked , all the information is uploaded to the C & C .' [/INST] [When:O, all:O, the:O, necessary:O, card:O, details:O, are:O, entered:O, and:O, have:O, been:O, checked:O, ,:O, all:O, the:O, information:O, is:O, uploaded:O, to:O, the:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'How to unblock the phone Now for some good news : Rotexy doesn β t have a very well-designed module for processing commands that arrive in SMSs .' [/INST] [How:O, to:O, unblock:O, the:O, phone:O, Now:O, for:O, some:O, good:O, news:O, ::O, Rotexy:B-Malware, doesn:O, β:O, t:O, have:O, a:O, very:O, well-designed:O, module:O, for:O, processing:O, commands:O, that:O, arrive:O, in:O, SMSs:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 means the phone can be unblocked in some cases when it has been blocked by one of the above HTML pages .' [/INST] [It:O, means:O, the:O, phone:O, can:O, be:O, unblocked:O, in:O, some:O, cases:O, when:O, it:O, has:O, been:O, blocked:O, by:O, one:O, of:O, the:O, above:O, HTML:O, pages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This is done by sending β 3458 β in an SMS to the blocked device β this will revoke the administrator privileges from the Trojan .' [/INST] [This:O, is:O, done:O, by:O, sending:O, β:O, 3458:O, β:O, in:O, an:O, SMS:O, to:O, the:O, blocked:O, device:O, β:O, this:O, will:O, revoke:O, the:O, administrator:O, privileges:O, from: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: 'After that it β s necessary to send β stop_blocker β to the same number β this will disable the display of HTML pages that extort money and block the screen .' [/INST] [After:O, that:O, it:O, β:O, s:O, necessary:O, to:O, send:O, β:O, stop_blocker:O, β:O, to:O, the:O, same:O, number:O, β:O, this:O, will:O, disable:O, the:O, display:O, of:O, HTML:O, pages:O, that:O, extort:O, money:O, and:O, block:O, the: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: 'Rotexy may start requesting device administrator privileges again in an infinite loop ; in that case , restart the device in safe mode and remove the malicious program .' [/INST] [Rotexy:B-Malware, may:O, start:O, requesting:O, device:O, administrator:O, privileges:O, again:O, in:O, an:O, infinite:O, loop:O, ;:O, in:O, that:O, case:O, ,:O, restart:O, the:O, device:O, in:O, safe:O, mode:O, and:O, remove:O, the:O, malicious:O, program:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , this method may not work if the threat actors react quickly to an attempt to remove the Trojan .' [/INST] [However:O, ,:O, this:O, method:O, may:O, not:O, work:O, if:O, the:O, threat:O, actors:O, react:O, quickly:O, to:O, an:O, attempt:O, to:O, remove: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: 'In that case , you first need to send the text β 393838 β in an SMS to the infected device and then repeat all the actions described above ; that text message will change the C & C address to β : // β , so the phone will no longer receive commands from the real C & C .' [/INST] [In:O, that:O, case:O, ,:O, you:O, first:O, need:O, to:O, send:O, the:O, text:O, β:O, 393838:O, β:O, in:O, an:O, SMS:O, to:O, the:O, infected:O, device:O, and:O, then:O, repeat:O, all:O, the:O, actions:O, described:O, above:O, ;:O, that:O, text:O, message:O, will:O, change:O, the:O, C:O, &:O, C:O, address:O, to:O, β:O, ::O, //:O, β:O, ,:O, so:O, the:O, phone:O, will:O, no:O, longer:O, receive:O, commands:O, from:O, the:O, real:O, C:O, &:O, C:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Please note that these unblocking instructions are based on an analysis of the current version of Rotexy and have been tested on it .' [/INST] [Please:O, note:O, that:O, these:O, unblocking:O, instructions:O, are:O, based:O, on:O, an:O, analysis:O, of:O, the:O, current:O, version:O, of:O, Rotexy:B-Malware, and:O, have:O, been:O, tested:O, on: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: 'However , it β s possible the set of commands may change in future versions of the Trojan .' [/INST] [However:O, ,:O, it:O, β:O, s:O, possible:O, the:O, set:O, of:O, commands:O, may:O, change:O, in:O, future:O, versions: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: 'Geography of Rotexy attacks According to our data , 98 % of all Rotexy attacks target users in Russia .' [/INST] [Geography:O, of:O, Rotexy:B-Malware, attacks:O, According:O, to:O, our:O, data:O, ,:O, 98:O, %:O, of:O, all:O, Rotexy:B-Malware, attacks:O, target:O, users: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: 'Indeed , the Trojan explicitly targets Russian-speaking users .' [/INST] [Indeed:O, ,:O, the:O, Trojan:O, explicitly:O, targets:O, Russian-speaking:O, users:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 have also been cases of users in Ukraine , Germany , Turkey and several other countries being affected .' [/INST] [There:O, have:O, also:O, been:O, cases:O, of:O, users:O, in:O, Ukraine:O, ,:O, Germany:O, ,:O, Turkey:O, and:O, several:O, other:O, countries:O, being: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: 'Kaspersky Internet Security for Android and the Sberbank Online app securely protect users against attacks by this Trojan .' [/INST] [Kaspersky:B-System, Internet:I-System, Security:I-System, for:O, Android:B-System, and:O, the:O, Sberbank:B-System, Online:I-System, app:I-System, securely:O, protect:O, users:O, against:O, attacks:O, by:O, this: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: 'IOCs SHA256 0ca09d4fde9e00c0987de44ae2ad51a01b3c4c2c11606fe8308a083805760ee7 4378f3680ff070a1316663880f47eba54510beaeb2d897e7bbb8d6b45de63f96 76c9d8226ce558c87c81236a9b95112b83c7b546863e29b88fec4dba5c720c0b 7cc2d8d43093c3767c7c73dc2b4daeb96f70a7c455299e0c7824b4210edd6386' [/INST] [IOCs:O, SHA256:O, 0ca09d4fde9e00c0987de44ae2ad51a01b3c4c2c11606fe8308a083805760ee7:B-Indicator, 4378f3680ff070a1316663880f47eba54510beaeb2d897e7bbb8d6b45de63f96:B-Indicator, 76c9d8226ce558c87c81236a9b95112b83c7b546863e29b88fec4dba5c720c0b:B-Indicator, 7cc2d8d43093c3767c7c73dc2b4daeb96f70a7c455299e0c7824b4210edd6386: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: '9b2fd7189395b2f34781b499f5cae10ec86aa7ab373fbdc2a14ec4597d4799ba ac216d502233ca0fe51ac2bb64cfaf553d906dc19b7da4c023fec39b000bc0d7 b1ccb5618925c8f0dda8d13efe4a1e1a93d1ceed9e26ec4a388229a28d1f8d5b ba4beb97f5d4ba33162f769f43ec8e7d1ae501acdade792a4a577cd6449e1a84' [/INST] [9b2fd7189395b2f34781b499f5cae10ec86aa7ab373fbdc2a14ec4597d4799ba:B-Indicator, ac216d502233ca0fe51ac2bb64cfaf553d906dc19b7da4c023fec39b000bc0d7:B-Indicator, b1ccb5618925c8f0dda8d13efe4a1e1a93d1ceed9e26ec4a388229a28d1f8d5b:B-Indicator, ba4beb97f5d4ba33162f769f43ec8e7d1ae501acdade792a4a577cd6449e1a84: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: 'ba9f4d3f4eba3fa7dce726150fe402e37359a7f36c07f3932a92bd711436f88c e194268bf682d81fc7dc1e437c53c952ffae55a9d15a1fc020f0219527b7c2ec Π‘ & C 2014β2015 : secondby.ru darkclub.net holerole.org googleapis.link 2015β2016 : test2016.ru blackstar.pro synchronize.pw lineout.pw sync-weather.pw' [/INST] [ba9f4d3f4eba3fa7dce726150fe402e37359a7f36c07f3932a92bd711436f88c:B-Indicator, e194268bf682d81fc7dc1e437c53c952ffae55a9d15a1fc020f0219527b7c2ec:B-Indicator, Π‘:O, &:O, C:O, 2014β2015:O, ::O, secondby.ru:B-Indicator, darkclub.net:B-Indicator, holerole.org:B-Indicator, googleapis.link:B-Indicator, 2015β2016:O, ::O, test2016.ru:B-Indicator, blackstar.pro:B-Indicator, synchronize.pw:B-Indicator, lineout.pw:B-Indicator, sync-weather.pw: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: '2016 freedns.website streamout.space 2017β2018 : streamout.space sky-sync.pw gms-service.info EventBot : A New Mobile Banking Trojan is Born April 30 , 2020 KEY FINDINGS The Cybereason Nocturnus team is investigating EventBot , a new type of Android mobile malware that emerged around March 2020 .' [/INST] [2016:O, freedns.website:O, streamout.space:B-Indicator, 2017β2018:O, ::O, streamout.space:B-Indicator, sky-sync.pw:B-Indicator, gms-service.info:B-Indicator, EventBot:B-Malware, ::O, A:O, New:O, Mobile:O, Banking:O, Trojan:O, is:O, Born:O, April:O, 30:O, ,:O, 2020:O, KEY:O, FINDINGS:O, The:O, Cybereason:B-Organization, Nocturnus:I-Organization, team:O, is:O, investigating:O, EventBot:B-Malware, ,:O, a:O, new:O, type:O, of:O, Android:B-System, mobile:O, malware:O, that:O, emerged:O, around:O, March:O, 2020:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'EventBot is a mobile banking trojan and infostealer that abuses Android β s accessibility features to steal user data from financial applications , read user SMS messages , and steal SMS messages to allow the malware to bypass two-factor authentication .' [/INST] [EventBot:B-Malware, is:O, a:O, mobile:O, banking:O, trojan:O, and:O, infostealer:O, that:O, abuses:O, Android:B-System, β:O, s:O, accessibility:O, features:O, to:O, steal:O, user:O, data:O, from:O, financial:O, applications:O, ,:O, read:O, user:O, SMS:O, messages:O, ,:O, and:O, steal:O, SMS:O, messages:O, to:O, allow:O, the:O, malware:O, to:O, bypass:O, two-factor:O, authentication:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'EventBot targets users of over 200 different financial applications , including banking , money transfer services , and crypto-currency wallets .' [/INST] [EventBot:B-Malware, targets:O, users:O, of:O, over:O, 200:O, different:O, financial:O, applications:O, ,:O, including:O, banking:O, ,:O, money:O, transfer:O, services:O, ,:O, and:O, crypto-currency:O, wallets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Those targeted include applications like Paypal Business , Revolut , Barclays , UniCredit , CapitalOne UK , HSBC UK , Santander UK , TransferWise , Coinbase , paysafecard , and many more .' [/INST] [Those:O, targeted:O, include:O, applications:O, like:O, Paypal:B-System, Business:I-System, ,:O, Revolut:B-System, ,:O, Barclays:B-System, ,:O, UniCredit:B-System, ,:O, CapitalOne:B-System, UK:I-System, ,:O, HSBC:B-System, UK:I-System, ,:O, Santander:B-System, UK:I-System, ,:O, TransferWise:B-System, ,:O, Coinbase:B-System, ,:O, paysafecard:B-System, ,:O, and:O, many: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: 'It specifically targets financial banking applications across the United States and Europe , including Italy , the UK , Spain , Switzerland , France , and Germany .' [/INST] [It:O, specifically:O, targets:O, financial:O, banking:O, applications:O, across:O, the:O, United:O, States:O, and:O, Europe:O, ,:O, including:O, Italy:O, ,:O, the:O, UK:O, ,:O, Spain:O, ,:O, Switzerland:O, ,:O, France:O, ,:O, and:O, Germany:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 full list of banking applications targeted is included in the appendix .' [/INST] [The:O, full:O, list:O, of:O, banking:O, applications:O, targeted:O, is:O, included:O, in:O, the:O, appendix:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'EventBot is particularly interesting because it is in such early stages .' [/INST] [EventBot:B-Organization, is:O, particularly:O, interesting:O, because:O, it:O, is:O, in:O, such:O, early:O, stages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 brand new malware has real potential to become the next big mobile malware , as it is under constant iterative improvements , abuses a critical operating system feature , and targets financial applications .' [/INST] [This:O, brand:O, new:O, malware:O, has:O, real:O, potential:O, to:O, become:O, the:O, next:O, big:O, mobile:O, malware:O, ,:O, as:O, it:O, is:O, under:O, constant:O, iterative:O, improvements:O, ,:O, abuses:O, a:O, critical:O, operating:O, system:O, feature:O, ,:O, and:O, targets:O, financial:O, applications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This research gives a rare look into the process improvements malware authors make when optimizing before launch .' [/INST] [This:O, research:O, gives:O, a:O, rare:O, look:O, into:O, the:O, process:O, improvements:O, malware:O, authors:O, make:O, when:O, optimizing:O, before:O, launch:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 going on the offensive and hunting the attackers , our team was able to unearth the early stages of what may be a very dangerous mobile malware .' [/INST] [By:O, going:O, on:O, the:O, offensive:O, and:O, hunting:O, the:O, attackers:O, ,:O, our:O, team:O, was:O, able:O, to:O, unearth:O, the:O, early:O, stages:O, of:O, what:O, may:O, be:O, a:O, very:O, dangerous:O, mobile: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: 'TABLE OF CONTENTS Security Recommendations Introduction Threat Analysis Common Features Unique Features by Version Malware Under Active Development Suspected Detection Tests by the Threat Actor EventBot Infrastructure Cybereason Mobile Conclusion Indicators of Compromise MITRE ATT & CK for Mobile Breakdown SECURITY RECOMMENDATIONS Keep your mobile device up-to-date with the latest software updates from legitimate sources .' [/INST] [TABLE:O, OF:O, CONTENTS:O, Security:O, Recommendations:O, Introduction:O, Threat:O, Analysis:O, Common:O, Features:O, Unique:O, Features:O, by:O, Version:O, Malware:O, Under:O, Active:O, Development:O, Suspected:O, Detection:O, Tests:O, by:O, the:O, Threat:O, Actor:O, EventBot:B-Malware, Infrastructure:O, Cybereason:O, Mobile:O, Conclusion:O, Indicators:O, of:O, Compromise:O, MITRE:B-Organization, ATT:O, &:O, CK:O, for:O, Mobile:O, Breakdown:O, SECURITY:O, RECOMMENDATIONS:O, Keep:O, your:O, mobile:O, device:O, up-to-date:O, with:O, the:O, latest:O, software:O, updates:O, from:O, legitimate:O, sources:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Keep Google Play Protect on .' [/INST] [Keep:O, Google:B-System, Play:I-System, Protect:I-System, 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: 'Do not download mobile apps from unofficial or unauthorized sources .' [/INST] [Do:O, not:O, download:O, mobile:O, apps:O, from:O, unofficial:O, or:O, unauthorized:O, sources:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Most legitimate Android apps are available on the Google Play Store .' [/INST] [Most:O, legitimate:O, Android:B-System, apps:O, are:O, available: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: 'Always apply critical thinking and consider whether you should give a certain app the permissions it requests .' [/INST] [Always:O, apply:O, critical:O, thinking:O, and:O, consider:O, whether:O, you:O, should:O, give:O, a:O, certain:O, app:O, the:O, permissions:O, it:O, requests:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When in doubt , check the APK signature and hash in sources like VirusTotal before installing it on your device .' [/INST] [When:O, in:O, doubt:O, ,:O, check:O, the:O, APK:O, signature:O, and:O, hash:O, in:O, sources:O, like:O, VirusTotal:B-Organization, before:O, installing:O, it:O, on:O, your: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: 'Use mobile threat detection solutions for enhanced security .' [/INST] [Use:O, mobile:O, threat:O, detection:O, solutions:O, for:O, enhanced:O, 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: 'INTRODUCTION For the past few weeks , the Cybereason Nocturnus team has been investigating a new type of Android malware dubbed EventBot , which was first identified in March 2020 .' [/INST] [INTRODUCTION:O, For:O, the:O, past:O, few:O, weeks:O, ,:O, the:O, Cybereason:B-Organization, Nocturnus:I-Organization, team:O, has:O, been:O, investigating:O, a:O, new:O, type:O, of:O, Android:B-System, malware:O, dubbed:O, EventBot:B-Malware, ,:O, which:O, was:O, first:O, identified:O, in:O, March:O, 2020:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malware appears to be newly developed with code that differs significantly from previously known Android malware .' [/INST] [This:O, malware:O, appears:O, to:O, be:O, newly:O, developed:O, with:O, code:O, that:O, differs:O, significantly:O, from:O, previously:O, known:O, Android:B-System, 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: 'EventBot is under active development and is evolving rapidly ; new versions are released every few days with improvements and new capabilities .' [/INST] [EventBot:B-Malware, is:O, under:O, active:O, development:O, and:O, is:O, evolving:O, rapidly:O, ;:O, new:O, versions:O, are:O, released:O, every:O, few:O, days:O, with:O, improvements:O, and:O, new:O, capabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'EventBot abuses Android β s accessibility feature to access valuable user information , system information , and data stored in other applications .' [/INST] [EventBot:B-Malware, abuses:O, Android:B-System, β:O, s:O, accessibility:O, feature:O, to:O, access:O, valuable:O, user:O, information:O, ,:O, system:O, information:O, ,:O, and:O, data:O, stored:O, in:O, other:O, applications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In particular , EventBot can intercept SMS messages and bypass two-factor authentication mechanisms .' [/INST] [In:O, particular:O, ,:O, EventBot:B-Malware, can:O, intercept:O, SMS:O, messages:O, and:O, bypass:O, two-factor:O, authentication:O, mechanisms:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Cybereason Nocturnus team has concluded that EventBot is designed to target over 200 different banking and finance applications , the majority of which are European bank and crypto-currency exchange applications .' [/INST] [The:O, Cybereason:B-Organization, Nocturnus:I-Organization, team:O, has:O, concluded:O, that:O, EventBot:B-Malware, is:O, designed:O, to:O, target:O, over:O, 200:O, different:O, banking:O, and:O, finance:O, applications:O, ,:O, the:O, majority:O, of:O, which:O, are:O, European:O, bank:O, and:O, crypto-currency:O, exchange:O, applications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By accessing and stealing this data , Eventbot has the potential to access key business data , including financial data .' [/INST] [By:O, accessing:O, and:O, stealing:O, this:O, data:O, ,:O, Eventbot:B-Malware, has:O, the:O, potential:O, to:O, access:O, key:O, business:O, data:O, ,:O, including:O, financial: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: '60 % of devices containing or accessing enterprise data are mobile , and mobile devices tend to include a significant amount of personal and business data , assuming the organization has a bring-your-own-device policy in place .' [/INST] [60:O, %:O, of:O, devices:O, containing:O, or:O, accessing:O, enterprise:O, data:O, are:O, mobile:O, ,:O, and:O, mobile:O, devices:O, tend:O, to:O, include:O, a:O, significant:O, amount:O, of:O, personal:O, and:O, business:O, data:O, ,:O, assuming:O, the:O, organization:O, has:O, a:O, bring-your-own-device:O, policy:O, in:O, place:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Mobile malware is a significant risk for organizations and consumers alike , and must be considered when protecting personal and business data .' [/INST] [Mobile:O, malware:O, is:O, a:O, significant:O, risk:O, for:O, organizations:O, and:O, consumers:O, alike:O, ,:O, and:O, must:O, be:O, considered:O, when:O, protecting:O, personal:O, and:O, business: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: 'EventBot mobile banking applications targetedApplications targeted by EventBot .' [/INST] [EventBot:B-Malware, mobile:O, banking:O, applications:O, targetedApplications:O, targeted:O, by:O, EventBot: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: 'Cybereason Mobile Detecting EventBotCybereason Mobile detecting EventBot .' [/INST] [Cybereason:B-Organization, Mobile:I-Organization, Detecting:O, EventBotCybereason:O, Mobile:O, detecting:O, EventBot: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: 'THREAT ANALYSIS Initial Access Though EventBot is not currently on the Google Play Store , we were able to find several icons EventBot is using to masquerade as a legitimate application .' [/INST] [THREAT:O, ANALYSIS:O, Initial:O, Access:O, Though:O, EventBot:B-Malware, is:O, not:O, currently:O, on:O, the:O, Google:B-System, Play:I-System, Store:O, ,:O, we:O, were:O, able:O, to:O, find:O, several:O, icons:O, EventBot:B-Malware, is:O, using:O, to:O, masquerade:O, as:O, a:O, legitimate: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: 'We believe that , when it is officially released , it will most likely be uploaded to rogue APK stores and other shady websites , while masquerading as real applications .' [/INST] [We:O, believe:O, that:O, ,:O, when:O, it:O, is:O, officially:O, released:O, ,:O, it:O, will:O, most:O, likely:O, be:O, uploaded:O, to:O, rogue:O, APK:O, stores:O, and:O, other:O, shady:O, websites:O, ,:O, while:O, masquerading:O, as:O, real:O, applications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Icons used for EventBot masqueraded as legitimate with these icons.application .' [/INST] [Icons:O, used:O, for:O, EventBot:B-Malware, masqueraded:O, as:O, legitimate:O, with:O, these:O, icons.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: 'Malware Capabilities The Cybereason Nocturnus team has been following EventBot since the beginning of March 2020 .' [/INST] [Malware:O, Capabilities:O, The:O, Cybereason:B-Organization, Nocturnus:I-Organization, team:O, has:O, been:O, following:O, EventBot:B-Malware, since:O, the:O, beginning:O, of:O, March:O, 2020:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 team has encountered different versions of the malware over time as it has rapidly evolved .' [/INST] [The:O, team:O, has:O, encountered:O, different:O, versions:O, of:O, the:O, malware:O, over:O, time:O, as:O, it:O, has:O, rapidly:O, evolved:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 of writing this research , four versions of the EventBot malware were observed : Version 0.0.0.1 , 0.0.0.2 , and 0.3.0.1 and 0.4.0.1 .' [/INST] [At:O, the:O, time:O, of:O, writing:O, this:O, research:O, ,:O, four:O, versions:O, of:O, the:O, EventBot:B-Malware, malware:O, were:O, observed:O, ::O, Version:O, 0.0.0.1:O, ,:O, 0.0.0.2:O, ,:O, and:O, 0.3.0.1:O, and:O, 0.4.0.1: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: 'Each version expands the bot β s functionality and works to obfuscate the malware against analysis .' [/INST] [Each:O, version:O, expands:O, the:O, bot:O, β:O, s:O, functionality:O, and:O, works:O, to:O, obfuscate:O, the:O, malware:O, against:O, analysis:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this research , we review common features of the malware and examine the improvements the threat actor made in each version .' [/INST] [In:O, this:O, research:O, ,:O, we:O, review:O, common:O, features:O, of:O, the:O, malware:O, and:O, examine:O, the:O, improvements:O, the:O, threat:O, actor:O, made:O, in:O, each:O, version:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'COMMON FEATURES Permissions When installed , EventBot requests the following permissions on the device : SYSTEM_ALERT_WINDOW - allow the app to create windows that are shown on top of other apps .' [/INST] [COMMON:O, FEATURES:O, Permissions:O, When:O, installed:O, ,:O, EventBot:B-Malware, requests:O, the:O, following:O, permissions:O, on:O, the:O, device:O, ::O, SYSTEM_ALERT_WINDOW:O, -:O, allow:O, the:O, app:O, to:O, create:O, windows:O, that:O, are:O, shown:O, on:O, top:O, of:O, other: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: 'READ_EXTERNAL_STORAGE - read from external storage .' [/INST] [READ_EXTERNAL_STORAGE:O, -:O, read:O, from:O, external:O, storage:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'REQUEST_INSTALL_PACKAGES - make a request to install packages .' [/INST] [REQUEST_INSTALL_PACKAGES:O, -:O, make:O, a:O, request:O, to:O, install:O, packages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'INTERNET - open network sockets .' [/INST] [INTERNET:O, -:O, open:O, network:O, sockets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'REQUEST_IGNORE_BATTERY_OPTIMIZATIONS - whitelist the app to allow it to ignore battery optimizations .' [/INST] [REQUEST_IGNORE_BATTERY_OPTIMIZATIONS:O, -:O, whitelist:O, the:O, app:O, to:O, allow:O, it:O, to:O, ignore:O, battery:O, optimizations:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'WAKE_LOCK - prevent the processor from sleeping and dimming the screen .' [/INST] [WAKE_LOCK:O, -:O, prevent:O, the:O, processor:O, from:O, sleeping:O, and:O, dimming:O, the: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: 'ACCESS_NETWORK_STATE - allow the app to access information about networks .' [/INST] [ACCESS_NETWORK_STATE:O, -:O, allow:O, the:O, app:O, to:O, access:O, information:O, about:O, networks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'REQUEST_COMPANION_RUN_IN_BACKGROUND - let the app run in the background .' [/INST] [REQUEST_COMPANION_RUN_IN_BACKGROUND:O, -:O, let:O, the:O, app:O, run:O, in:O, the:O, background:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'REQUEST_COMPANION_USE_DATA_IN_BACKGROUND - let the app use data in the background .' [/INST] [REQUEST_COMPANION_USE_DATA_IN_BACKGROUND:O, -:O, let:O, the:O, app:O, use:O, data:O, in:O, the:O, background:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'RECEIVE_BOOT_COMPLETED - allow the application to launch itself after system boot .' [/INST] [RECEIVE_BOOT_COMPLETED:O, -:O, allow:O, the:O, application:O, to:O, launch:O, itself:O, after:O, system:O, boot:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'EventBot uses this permission in order to achieve persistence and run in the background as a service .' [/INST] [EventBot:B-Malware, uses:O, this:O, permission:O, in:O, order:O, to:O, achieve:O, persistence:O, and:O, run:O, in:O, the:O, background:O, as:O, a: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: 'RECEIVE_SMS - allow the application to receive text messages .' [/INST] [RECEIVE_SMS:O, -:O, allow:O, the:O, application:O, to:O, receive:O, text:O, messages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'READ_SMS - allow the application to read text messages .' [/INST] [READ_SMS:O, -:O, allow:O, the:O, application:O, to:O, read:O, text:O, messages:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'EventBot permissions EventBot β s permissions as seen in the manifest file .' [/INST] [EventBot:B-Malware, permissions:O, EventBot:B-Malware, β:O, s:O, permissions:O, as:O, seen:O, in:O, the:O, manifest:O, file:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 INITIAL INSTALLATION PROCESS Once installed , EventBot prompts the user to give it access to accessibility services .' [/INST] [THE:O, INITIAL:O, INSTALLATION:O, PROCESS:O, Once:O, installed:O, ,:O, EventBot:B-Malware, prompts:O, the:O, user:O, to:O, give:O, it:O, access:O, to:O, accessibility: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: 'Initial request by EventBot Initial request by EventBot to run as a service .' [/INST] [Initial:O, request:O, by:O, EventBot:B-Malware, Initial:O, request:O, by:O, EventBot:B-Malware, to:O, run:O, as:O, a: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: 'Once the malware can use accessibility services , it has the ability to operate as a keylogger and can retrieve notifications about other installed applications and content of open windows .' [/INST] [Once:O, the:O, malware:O, can:O, use:O, accessibility:O, services:O, ,:O, it:O, has:O, the:O, ability:O, to:O, operate:O, as:O, a:O, keylogger:O, and:O, can:O, retrieve:O, notifications:O, about:O, other:O, installed:O, applications:O, and:O, content:O, of:O, open:O, windows:O, .:O] </s> |