Datasets:

pritamdeka

/

dataset_cyner_train_temp

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: 'Super Mario Run Malware # 2 – DroidJack RAT Gamers love Mario and Pokemon , but so do malware authors .' [/INST] [Super:B-Malware, Mario:I-Malware, Run:I-Malware, Malware:I-Malware, #:O, 2:O, –:O, DroidJack:B-Malware, RAT:I-Malware, Gamers:O, love:O, Mario:B-System, and:O, Pokemon:B-System, ,:O, but:O, so:O, do:O, malware:O, authors:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A few days back , we wrote about an Android Marcher trojan variant posing as the Super Mario Run game for Android .' [/INST] [A:O, few:O, days:O, back:O, ,:O, we:O, wrote:O, about:O, an:O, Android:B-System, Marcher:B-Malware, trojan:O, variant:O, posing:O, as:O, the:O, Super:B-System, Mario:I-System, Run:I-System, game: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: 'We have found another instance of malware posing as the Super Mario Run Android app , and this time it has taken the form of DroidJack RAT ( remote access trojan ) .' [/INST] [We:O, have:O, found:O, another:O, instance:O, of:O, malware:O, posing:O, as:O, the:O, Super:B-System, Mario:I-System, Run:I-System, Android:B-System, app:O, ,:O, and:O, this:O, time:O, it:O, has:O, taken:O, the:O, form:O, of:O, DroidJack:B-Malware, RAT:I-Malware, (:O, remote:O, access:O, trojan: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: 'Proofpoint wrote about the DroidJack RAT side-loaded with the Pokemon GO app back in July 2016 ; the difference here is that there is no game included in the malicious package .' [/INST] [Proofpoint:B-Organization, wrote:O, about:O, the:O, DroidJack:B-Malware, RAT:I-Malware, side-loaded:O, with:O, the:O, Pokemon:B-System, GO:I-System, app:O, back:O, in:O, July:O, 2016:O, ;:O, the:O, difference:O, here:O, is:O, that:O, there:O, is:O, no:O, game:O, included:O, in:O, the:O, malicious:O, package:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 authors are trying to latch onto the popularity of the Super Mario Run game to target eagerly waiting Android users .' [/INST] [The:O, authors:O, are:O, trying:O, to:O, latch:O, onto:O, the:O, popularity:O, of:O, the:O, Super:B-System, Mario:I-System, Run:I-System, game:O, to:O, target:O, eagerly:O, waiting:O, Android:B-System, 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: 'Details : Name : Super Mario Run Package Name : net.droidjack.server MD5 : 69b4b32e4636f1981841cbbe3b927560 Technical Analysis : The malicious package claims to be the Super Mario Run game , as shown in the permissions screenshot below , but in reality this is a malicious RAT called DroidJack ( also known as SandroRAT ) that is getting installed .' [/INST] [Details:O, ::O, Name:O, ::O, Super:B-System, Mario:I-System, Run:I-System, Package:O, Name:O, ::O, net.droidjack.server:B-Indicator, MD5:O, ::O, 69b4b32e4636f1981841cbbe3b927560:B-Indicator, Technical:O, Analysis:O, ::O, The:O, malicious:O, package:O, claims:O, to:O, be:O, the:O, Super:B-System, Mario:I-System, Run:I-System, game:O, ,:O, as:O, shown:O, in:O, the:O, permissions:O, screenshot:O, below:O, ,:O, but:O, in:O, reality:O, this:O, is:O, a:O, malicious:O, RAT:O, called:O, DroidJack:B-Malware, (:O, also:O, known:O, as:O, SandroRAT:B-Malware, ):O, that:O, is:O, getting: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: 'Once installed , the RAT registers the infected device as shown below .' [/INST] [Once:O, installed:O, ,:O, the:O, RAT:O, registers:O, the:O, infected:O, device:O, as:O, shown:O, below:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'DroidJack RAT starts capturing sensitive information like call data , SMS data , videos , photos , etc .' [/INST] [DroidJack:B-Malware, RAT:I-Malware, starts:O, capturing:O, sensitive:O, information:O, like:O, call:O, data:O, ,:O, SMS:O, data:O, ,:O, videos:O, ,:O, photos: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: 'Observe below the code routine for call recording .' [/INST] [Observe:O, below:O, the:O, code:O, routine:O, for:O, call:O, recording:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 RAT records all the calls and stores the recording to an “ .amr ” file .' [/INST] [This:O, RAT:O, records:O, all:O, the:O, calls:O, and:O, stores:O, the:O, recording:O, to:O, an:O, “:O, .amr:B-Indicator, ”: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 following is the code routine for video capturing .' [/INST] [The:O, following:O, is:O, the:O, code:O, routine:O, for:O, video:O, capturing:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Here , the RAT stores all the captured videos in a “ video.3gp ” file .' [/INST] [Here:O, ,:O, the:O, RAT:O, stores:O, all:O, the:O, captured:O, videos:O, in:O, a:O, “:O, video.3gp:B-Indicator, ”: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: 'It also harvests call details and SMS logs as shown below .' [/INST] [It:O, also:O, harvests:O, call:O, details:O, and:O, SMS:O, logs:O, as:O, shown:O, below:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Upon further inspection , we have observed that this RAT extracts WhatsApp data too .' [/INST] [Upon:O, further:O, inspection:O, ,:O, we:O, have:O, observed:O, that:O, this:O, RAT:O, extracts:O, WhatsApp:B-System, data:O, too:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 RAT stores all the data in a database ( DB ) in order to send it to the Command & Control ( C & C ) server .' [/INST] [The:O, RAT:O, stores:O, all:O, the:O, data:O, in:O, a:O, database:O, (:O, DB:O, ):O, in:O, order:O, to:O, send:O, it:O, to:O, the:O, Command:O, &:O, Control:O, (:O, C:O, &:O, C:O, ):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: 'The following are the DBs created and maintained by the RAT .' [/INST] [The:O, following:O, are:O, the:O, DBs:O, created:O, and:O, maintained:O, by:O, the:O, RAT:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We saw the following hardcoded C & C server location in the RAT package : Conclusion : The DroidJack RAT is another example of a growing trend in which malware authors seek to exploit public interest as a way to spread malware .' [/INST] [We:O, saw:O, the:O, following:O, hardcoded:O, C:O, &:O, C:O, server:O, location:O, in:O, the:O, RAT:O, package:O, ::O, Conclusion:O, ::O, The:O, DroidJack:B-Malware, RAT:I-Malware, is:O, another:O, example:O, of:O, a:O, growing:O, trend:O, in:O, which:O, malware:O, authors:O, seek:O, to:O, exploit:O, public:O, interest:O, as:O, a:O, way:O, to:O, spread: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: 'In this case , like others before , the event of a popular game release became an opportunity to trick unsuspecting users into downloading the RAT .' [/INST] [In:O, this:O, case:O, ,:O, like:O, others:O, before:O, ,:O, the:O, event:O, of:O, a:O, popular:O, game:O, release:O, became:O, an:O, opportunity:O, to:O, trick:O, unsuspecting:O, users:O, into:O, downloading:O, the:O, RAT:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As a reminder , it is always a good practice to download apps only from trusted app stores such as Google Play .' [/INST] [As:O, a:O, reminder:O, ,:O, it:O, is:O, always:O, a:O, good:O, practice:O, to:O, download:O, apps:O, only:O, from:O, trusted:O, app:O, stores:O, such:O, as: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: 'This practice can be enforced by unchecking the , Unknown Sources '' option under the , Security '' settings of your device .' [/INST] [This:O, practice:O, can:O, be:O, enforced:O, by:O, unchecking:O, the:O, ,:O, Unknown:O, Sources:O, '':O, option:O, under:O, the:O, ,:O, Security:O, '':O, settings:O, of: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: 'XLoader Disguises as Android Apps , Has FakeSpy Links This new XLoader variant poses as a security app for Android devices , and uses a malicious iOS profile to affect iPhone and iPad devices .' [/INST] [XLoader:B-Malware, Disguises:O, as:O, Android:B-System, Apps:O, ,:O, Has:O, FakeSpy:B-Malware, Links:O, This:O, new:O, XLoader:B-Malware, variant:O, poses:O, as:O, a:O, security:O, app:O, for:O, Android:B-System, devices:O, ,:O, and:O, uses:O, a:O, malicious:O, iOS:B-System, profile:O, to:O, affect:O, iPhone:B-System, and:O, iPad:B-System, devices:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'By : Hara Hiroaki , Lilang Wu , Lorin Wu April 02 , 2019 In previous attacks , XLoader posed as Facebook , Chrome and other legitimate applications to trick users into downloading its malicious app .' [/INST] [By:O, ::O, Hara:O, Hiroaki:O, ,:O, Lilang:O, Wu:O, ,:O, Lorin:O, Wu:O, April:O, 02:O, ,:O, 2019:O, In:O, previous:O, attacks:O, ,:O, XLoader:B-Malware, posed:O, as:O, Facebook:B-System, ,:O, Chrome:B-System, and:O, other:O, legitimate:O, applications:O, to:O, trick:O, users:O, into:O, downloading:O, its:O, malicious: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: 'Trend Micro researchers found a new variant that uses a different way to lure users .' [/INST] [Trend:B-Organization, Micro:I-Organization, researchers:O, found:O, a:O, new:O, variant:O, that:O, uses:O, a:O, different:O, way:O, to:O, lure: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: 'This new XLoader variant poses as a security app for Android devices , and uses a malicious iOS profile to affect iPhone and iPad devices .' [/INST] [This:O, new:O, XLoader:B-Malware, variant:O, poses:O, as:O, a:O, security:O, app:O, for:O, Android:B-System, devices:O, ,:O, and:O, uses:O, a:O, malicious:O, iOS:B-System, profile:O, to:O, affect:O, iPhone:B-System, and:O, iPad:B-System, devices:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Aside from a change in its deployment techniques , a few changes in its code set it apart from its previous versions .' [/INST] [Aside:O, from:O, a:O, change:O, in:O, its:O, deployment:O, techniques:O, ,:O, a:O, few:O, changes:O, in:O, its:O, code:O, set:O, it:O, apart:O, from:O, its:O, previous:O, versions:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 newest variant has been labeled XLoader version 6.0 ( detected as AndroidOS_XLoader.HRXD ) , following the last version discussed in a previous research on the malware family .' [/INST] [This:O, newest:O, variant:O, has:O, been:O, labeled:O, XLoader:B-Malware, version:O, 6.0:O, (:O, detected:O, as:O, AndroidOS_XLoader.HRXD:B-Indicator, ):O, ,:O, following:O, the:O, last:O, version:O, discussed:O, in:O, a:O, previous:O, research:O, on:O, the:O, malware:O, family:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 chain The threat actors behind this version used several fake websites as their host — copying that of a Japanese mobile phone operator ’ s website in particular — to trick users into downloading the fake security Android application package ( APK ) .' [/INST] [Infection:O, chain:O, The:O, threat:O, actors:O, behind:O, this:O, version:O, used:O, several:O, fake:O, websites:O, as:O, their:O, host:O, —:O, copying:O, that:O, of:O, a:O, Japanese:O, mobile:O, phone:O, operator:O, ’:O, s:O, website:O, in:O, particular:O, —:O, to:O, trick:O, users:O, into:O, downloading:O, the:O, fake:O, security:O, Android:B-System, application:O, package:O, (:O, APK: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: 'Monitoring efforts on this new variant revealed that the malicious websites are spread through smishing .' [/INST] [Monitoring:O, efforts:O, on:O, this:O, new:O, variant:O, revealed:O, that:O, the:O, malicious:O, websites:O, are:O, spread:O, through:O, smishing:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The infection has not spread very widely at the time of writing , but we ’ ve seen that many users have already received its SMS content .' [/INST] [The:O, infection:O, has:O, not:O, spread:O, very:O, widely:O, at:O, the:O, time:O, of:O, writing:O, ,:O, but:O, we:O, ’:O, ve:O, seen:O, that:O, many:O, users:O, have:O, already:O, received:O, its:O, SMS:O, content:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 past , XLoader showed the ability to mine cryptocurrency on PCs and perform account phishing on iOS devices .' [/INST] [In:O, the:O, past:O, ,:O, XLoader:B-Malware, showed:O, the:O, ability:O, to:O, mine:O, cryptocurrency:O, on:O, PCs:O, and:O, perform:O, account:O, phishing:O, on:O, iOS:B-System, devices:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This new wave also presents unique attack vectors based on the kind of device it has accessed .' [/INST] [This:O, new:O, wave:O, also:O, presents:O, unique:O, attack:O, vectors:O, based:O, on:O, the:O, kind:O, of:O, device:O, it:O, has:O, accessed:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 case of Android devices , accessing the malicious website or pressing any of the buttons will prompt the download of the APK .' [/INST] [In:O, the:O, case:O, of:O, Android:B-System, devices:O, ,:O, accessing:O, the:O, malicious:O, website:O, or:O, pressing:O, any:O, of:O, the:O, buttons:O, will:O, prompt:O, the:O, download:O, of:O, the:O, APK:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , successfully installing this malicious APK requires that the user has allowed the installation of such apps as controlled in the Unknown Sources settings .' [/INST] [However:O, ,:O, successfully:O, installing:O, this:O, malicious:O, APK:O, requires:O, that:O, the:O, user:O, has:O, allowed:O, the:O, installation:O, of:O, such:O, apps:O, as:O, controlled:O, in:O, the:O, Unknown:O, Sources: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: 'If users allow such apps to be installed , then it can be actively installed on the victim ’ s device .' [/INST] [If:O, users:O, allow:O, such:O, apps:O, to:O, be:O, installed:O, ,:O, then:O, it:O, can:O, be:O, actively:O, installed:O, on:O, the:O, victim:O, ’:O, s: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: 'The infection chain is slightly more roundabout in the case of Apple devices .' [/INST] [The:O, infection:O, chain:O, is:O, slightly:O, more:O, roundabout:O, in:O, the:O, case:O, of:O, Apple:B-System, devices:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Accessing the same malicious site would redirect its user to another malicious website ( hxxp : //apple-icloud [ .' [/INST] [Accessing:O, the:O, same:O, malicious:O, site:O, would:O, redirect:O, its:O, user:O, to:O, another:O, malicious:O, website:O, (:O, hxxp:B-Indicator, ::I-Indicator, //apple-icloud:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

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

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] com or hxxp : //apple-icloud [ .' [/INST] []:I-Indicator, com:I-Indicator, or:O, hxxp:B-Indicator, ::I-Indicator, //apple-icloud:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

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

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] com ) that prompts the user to install a malicious iOS configuration profile to solve a network issue preventing the site to load .' [/INST] []:I-Indicator, com:I-Indicator, ):O, that:O, prompts:O, the:O, user:O, to:O, install:O, a:O, malicious:O, iOS:B-System, configuration:O, profile:O, to:O, solve:O, a:O, network:O, issue:O, preventing:O, the:O, site:O, to:O, load:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 installs the profile , the malicious website will open , revealing it to be an Apple phishing site , as seen in figure 2 .' [/INST] [If:O, the:O, user:O, installs:O, the:O, profile:O, ,:O, the:O, malicious:O, website:O, will:O, open:O, ,:O, revealing:O, it:O, to:O, be:O, an:O, Apple:B-Organization, phishing:O, site:O, ,:O, as:O, seen:O, in:O, 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: 'Technical analysis Most of this new attack ’ s routines are similar to those of the previous XLoader versions .' [/INST] [Technical:O, analysis:O, Most:O, of:O, this:O, new:O, attack:O, ’:O, s:O, routines:O, are:O, similar:O, to:O, those:O, of:O, the:O, previous:O, XLoader:B-Malware, versions:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , as mentioned earlier , an analysis of this new variant showed some changes in its code in line with its new deployment method .' [/INST] [However:O, ,:O, as:O, mentioned:O, earlier:O, ,:O, an:O, analysis:O, of:O, this:O, new:O, variant:O, showed:O, some:O, changes:O, in:O, its:O, code:O, in:O, line:O, with:O, its:O, new:O, deployment:O, method:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 discuss these changes and its effect on Android and Apple devices .' [/INST] [We:O, discuss:O, these:O, changes:O, and:O, its:O, effect:O, on:O, Android:B-System, and:O, Apple:B-System, devices:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Malicious APK Like its previous versions , XLoader 6.0 abuses social media user profiles to hide its real C & C addresses , but this time its threat actors chose the social media platform Twitter , which was never used in previous attacks .' [/INST] [Malicious:O, APK:O, Like:O, its:O, previous:O, versions:O, ,:O, XLoader:B-Malware, 6.0:I-Malware, abuses:O, social:O, media:O, user:O, profiles:O, to:O, hide:O, its:O, real:O, C:O, &:O, C:O, addresses:O, ,:O, but:O, this:O, time:O, its:O, threat:O, actors:O, chose:O, the:O, social:O, media:O, platform:O, Twitter:B-Organization, ,:O, which:O, was:O, never:O, used:O, in:O, previous:O, attacks:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The real C & C address is encoded in the Twitter names , and can only be revealed once decoded .' [/INST] [The:O, real:O, C:O, &:O, C:O, address:O, is:O, encoded:O, in:O, the:O, Twitter:B-Organization, names:O, ,:O, and:O, can:O, only:O, be:O, revealed:O, once:O, decoded:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 adds an extra layer against detection .' [/INST] [This:O, adds:O, an:O, extra:O, layer:O, against:O, detection:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 code for this characteristic and the corresponding Twitter accounts can be seen in figures 3 and 4 respectively .' [/INST] [The:O, code:O, for:O, this:O, characteristic:O, and:O, the:O, corresponding:O, Twitter:B-Organization, accounts:O, can:O, be:O, seen:O, in:O, figures:O, 3:O, and:O, 4:O, respectively:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Version 6.0 also adds a command called “ getPhoneState ” , which collects unique identifiers of mobile devices such as IMSI , ICCID , Android ID , and device serial number .' [/INST] [Version:O, 6.0:O, also:O, adds:O, a:O, command:O, called:O, “:O, getPhoneState:O, ”:O, ,:O, which:O, collects:O, unique:O, identifiers:O, of:O, mobile:O, devices:O, such:O, as:O, IMSI:O, ,:O, ICCID:O, ,:O, Android:B-System, ID:O, ,:O, and:O, device:O, serial: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: 'This addition is seen in Figure 5 .' [/INST] [This:O, addition:O, is:O, seen:O, in:O, 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: 'Considering the other malicious behaviors of XLoader , this added operation could be very dangerous as threat actors can use it to perform targeted attacks .' [/INST] [Considering:O, the:O, other:O, malicious:O, behaviors:O, of:O, XLoader:B-Malware, ,:O, this:O, added:O, operation:O, could:O, be:O, very:O, dangerous:O, as:O, threat:O, actors:O, can:O, use:O, it:O, to:O, perform:O, targeted:O, attacks:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Malicious iOS profile In the case of Apple devices , the downloaded malicious iOS profile gathers the following : Unique device identifier ( UDID ) International Mobile Equipment Identity ( IMEI ) Integrated Circuit Card ID ( ICCID ) Mobile equipment identifier ( MEID ) Version number Product number The profile installations differ depending on the iOS .' [/INST] [Malicious:O, iOS:B-System, profile:O, In:O, the:O, case:O, of:O, Apple:B-System, devices:O, ,:O, the:O, downloaded:O, malicious:O, iOS:B-System, profile:O, gathers:O, the:O, following:O, ::O, Unique:O, device:O, identifier:O, (:O, UDID:O, ):O, International:O, Mobile:O, Equipment:O, Identity:O, (:O, IMEI:O, ):O, Integrated:O, Circuit:O, Card:O, ID:O, (:O, ICCID:O, ):O, Mobile:O, equipment:O, identifier:O, (:O, MEID:O, ):O, Version:O, number:O, Product:O, number:O, The:O, profile:O, installations:O, differ:O, depending:O, on:O, the:O, iOS: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: 'For versions 11.0 and 11.4 , the installation is straightforward .' [/INST] [For:O, versions:O, 11.0:O, and:O, 11.4:O, ,:O, the:O, installation:O, is:O, straightforward:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 user visits the profile host website and allows the installer to download , the iOS system will go directly to the “ Install Profile ” page ( which shows a verified safety certificate ) , and then request the users ’ passcode for the last step of installation .' [/INST] [If:O, a:O, user:O, visits:O, the:O, profile:O, host:O, website:O, and:O, allows:O, the:O, installer:O, to:O, download:O, ,:O, the:O, iOS:B-System, system:O, will:O, go:O, directly:O, to:O, the:O, “:O, Install:O, Profile:O, ”:O, page:O, (:O, which:O, shows:O, a:O, verified:O, safety:O, certificate:O, ):O, ,:O, and:O, then:O, request:O, the:O, users:O, ’:O, passcode:O, for:O, the:O, last:O, step:O, of: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: 'On later versions , specifically iOS 12.1.1 and iOS 12.2 , the process is different .' [/INST] [On:O, later:O, versions:O, ,:O, specifically:O, iOS:B-System, 12.1.1:I-System, and:O, iOS:B-System, 12.2:I-System, ,:O, the:O, process:O, is:O, different:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After the profile is downloaded , the iOS system will first ask users to review the profile in their settings if they want to install it .' [/INST] [After:O, the:O, profile:O, is:O, downloaded:O, ,:O, the:O, iOS:B-System, system:O, will:O, first:O, ask:O, users:O, to:O, review:O, the:O, profile:O, in:O, their:O, settings:O, if:O, they:O, want:O, to:O, install: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: 'Users can see a “ Profile Downloaded ” added in their settings ( this feature is in iOS 12.2 , but not on iOS 12.1.1 ) .' [/INST] [Users:O, can:O, see:O, a:O, “:O, Profile:O, Downloaded:O, ”:O, added:O, in:O, their:O, settings:O, (:O, this:O, feature:O, is:O, in:O, iOS:B-System, 12.2:I-System, ,:O, but:O, not:O, on:O, iOS:B-System, 12.1.1:I-System, ):O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 gives users a chance to see details and better understand any changes made .' [/INST] [This:O, gives:O, users:O, a:O, chance:O, to:O, see:O, details:O, and:O, better:O, understand:O, any:O, changes:O, made:O, .:O] </s>

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

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After the profile is installed , the user will then be redirected to another Apple phishing site .' [/INST] [After:O, the:O, profile:O, is:O, installed:O, ,:O, the:O, user:O, will:O, then:O, be:O, redirected:O, to:O, another:O, Apple:B-Organization, phishing:O, site:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 phishing site uses the gathered information as its GET parameter , allowing the attacker to access the stolen information .' [/INST] [The:O, phishing:O, site:O, uses:O, the:O, gathered:O, information:O, as:O, its:O, GET:O, parameter:O, ,:O, allowing:O, the:O, attacker:O, to:O, access:O, the:O, stolen: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: 'Ongoing activity While monitoring this particular threat , we found another XLoader variant posing as a pornography app aimed at South Korean users .' [/INST] [Ongoing:O, activity:O, While:O, monitoring:O, this:O, particular:O, threat:O, ,:O, we:O, found:O, another:O, XLoader:B-Malware, variant:O, posing:O, as:O, a:O, pornography:O, app:O, aimed:O, at:O, South:O, Korean: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: 'The , porn kr sex '' APK connects to a malicious website that runs XLoader in the background .' [/INST] [The:O, ,:O, porn:O, kr:O, sex:O, '':O, APK:O, connects:O, to:O, a:O, malicious:O, website:O, that:O, runs:O, XLoader:B-Malware, 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: 'The website uses a different fixed twitter account ( https : //twitter.com/fdgoer343 ) .' [/INST] [The:O, website:O, uses:O, a:O, different:O, fixed:O, twitter:B-Organization, account:O, (:O, https:B-Indicator, ::I-Indicator, //twitter.com/fdgoer343: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: 'This attack , however , seems exclusive to Android users , as it does not have the code to attack iOS devices .' [/INST] [This:O, attack:O, ,:O, however:O, ,:O, seems:O, exclusive:O, to:O, Android:B-System, users:O, ,:O, as:O, it:O, does:O, not:O, have:O, the:O, code:O, to:O, attack:O, iOS:B-System, devices:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Succeeding monitoring efforts revealed a newer variant that exploits the social media platforms Instagram and Tumblr instead of Twitter to hide its C & C address .' [/INST] [Succeeding:O, monitoring:O, efforts:O, revealed:O, a:O, newer:O, variant:O, that:O, exploits:O, the:O, social:O, media:O, platforms:O, Instagram:B-Organization, and:O, Tumblr:B-Organization, instead:O, of:O, Twitter:B-Organization, to:O, hide:O, its:O, C:O, &:O, C:O, address:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We labeled this new variant XLoader version 7.0 , because of the different deployment method and its use of the native code to load the payload and hide in Instagram and Tumblr profiles .' [/INST] [We:O, labeled:O, this:O, new:O, variant:O, XLoader:B-Malware, version:O, 7.0:O, ,:O, because:O, of:O, the:O, different:O, deployment:O, method:O, and:O, its:O, use:O, of:O, the:O, native:O, code:O, to:O, load:O, the:O, payload:O, and:O, hide:O, in:O, Instagram:B-Organization, and:O, Tumblr:B-Organization, profiles:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'These more recent developments indicate that XLoader is still evolving .' [/INST] [These:O, more:O, recent:O, developments:O, indicate:O, that:O, XLoader:B-Malware, is:O, still:O, evolving:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Adding connections to FakeSpy We have been seeing activity from XLoader since 2018 , and have since followed up our initial findings with a detailed research revealing a wealth of activity dating back to as early as January 2015 , which outlined a major discovery—its connection to FakeSpy .' [/INST] [Adding:O, connections:O, to:O, FakeSpy:B-Malware, We:O, have:O, been:O, seeing:O, activity:O, from:O, XLoader:B-Malware, since:O, 2018:O, ,:O, and:O, have:O, since:O, followed:O, up:O, our:O, initial:O, findings:O, with:O, a:O, detailed:O, research:O, revealing:O, a:O, wealth:O, of:O, activity:O, dating:O, back:O, to:O, as:O, early:O, as:O, January:O, 2015:O, ,:O, which:O, outlined:O, a:O, major:O, discovery—its:O, connection:O, to:O, FakeSpy:B-Malware, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The emergence of XLoader 6.0 does not only indicate that the threat actors behind it remain active ; it also holds fresh evidence of its connection to FakeSpy .' [/INST] [The:O, emergence:O, of:O, XLoader:B-Malware, 6.0:I-Malware, does:O, not:O, only:O, indicate:O, that:O, the:O, threat:O, actors:O, behind:O, it:O, remain:O, active:O, ;:O, it:O, also:O, holds:O, fresh:O, evidence:O, of:O, its:O, connection:O, to:O, FakeSpy: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: 'One such immediately apparent connection was the similar deployment technique used by both XLoader 6.0 and FakeSpy .' [/INST] [One:O, such:O, immediately:O, apparent:O, connection:O, was:O, the:O, similar:O, deployment:O, technique:O, used:O, by:O, both:O, XLoader:B-Malware, 6.0:I-Malware, and:O, FakeSpy: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: 'It had again cloned a different legitimate Japanese website to host its malicious app , similar to what FakeSpy had also done before .' [/INST] [It:O, had:O, again:O, cloned:O, a:O, different:O, legitimate:O, Japanese:O, website:O, to:O, host:O, its:O, malicious:O, app:O, ,:O, similar:O, to:O, what:O, FakeSpy:B-Malware, had:O, also:O, done:O, before:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Their similarity is made more apparent by looking at their naming method for downloadable files , domain structure of fake websites and other details of their deployment techniques , exemplified in figure 10 .' [/INST] [Their:O, similarity:O, is:O, made:O, more:O, apparent:O, by:O, looking:O, at:O, their:O, naming:O, method:O, for:O, downloadable:O, files:O, ,:O, domain:O, structure:O, of:O, fake:O, websites:O, and:O, other:O, details:O, of:O, their:O, deployment:O, techniques:O, ,:O, exemplified:O, in:O, figure:O, 10:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'XLoader 6.0 also mirrors the way FakeSpy hides its real C & C server .' [/INST] [XLoader:B-Malware, 6.0:I-Malware, also:O, mirrors:O, the:O, way:O, FakeSpy:B-Malware, hides:O, its:O, real: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: 'When before it had used several different social media platforms , it now uses the Twitter platform , something FakeSpy has done in its past attacks .' [/INST] [When:O, before:O, it:O, had:O, used:O, several:O, different:O, social:O, media:O, platforms:O, ,:O, it:O, now:O, uses:O, the:O, Twitter:B-Organization, platform:O, ,:O, something:O, FakeSpy:B-Malware, has:O, done:O, in:O, its:O, past:O, attacks:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Analysis of the malicious iOS profile also revealed further connections , as the profile can also be downloaded from a website that FakeSpy deployed early this year .' [/INST] [Analysis:O, of:O, the:O, malicious:O, iOS:B-System, profile:O, also:O, revealed:O, further:O, connections:O, ,:O, as:O, the:O, profile:O, can:O, also:O, be:O, downloaded:O, from:O, a:O, website:O, that:O, FakeSpy:B-Malware, deployed:O, early:O, this:O, year:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Conclusion and security recommendations The continued monitoring of XLoader showed how its operators continuously changed its features , such as its attack vector deployment infrastructure and deployment techniques .' [/INST] [Conclusion:O, and:O, security:O, recommendations:O, The:O, continued:O, monitoring:O, of:O, XLoader:B-Malware, showed:O, how:O, its:O, operators:O, continuously:O, changed:O, its:O, features:O, ,:O, such:O, as:O, its:O, attack:O, vector:O, deployment:O, infrastructure:O, and:O, deployment:O, techniques:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 newest entry seems to indicate that these changes won ’ t be stopping soon .' [/INST] [This:O, newest:O, entry:O, seems:O, to:O, indicate:O, that:O, these:O, changes:O, won:O, ’:O, t:O, be:O, stopping:O, soon:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Being aware of this fact can help create defensive strategies , as well as prepare for upcoming attacks .' [/INST] [Being:O, aware:O, of:O, this:O, fact:O, can:O, help:O, create:O, defensive:O, strategies:O, ,:O, as:O, well:O, as:O, prepare:O, for:O, upcoming:O, attacks:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition , just as uncovering new characteristics is important , finding ones we ’ ve also seen in a different malware family like FakeSpy also provides valuable insight .' [/INST] [In:O, addition:O, ,:O, just:O, as:O, uncovering:O, new:O, characteristics:O, is:O, important:O, ,:O, finding:O, ones:O, we:O, ’:O, ve:O, also:O, seen:O, in:O, a:O, different:O, malware:O, family:O, like:O, FakeSpy:B-Malware, also:O, provides:O, valuable:O, insight:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Links between XLoader and FakeSpy can give clues to the much broader inner workings of the threat actors behind them .' [/INST] [Links:O, between:O, XLoader:B-Malware, and:O, FakeSpy:B-Malware, can:O, give:O, clues:O, to:O, the:O, much:O, broader:O, inner:O, workings:O, of:O, the:O, threat:O, actors:O, behind: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: 'Perhaps more information on XLoader will be known in the future .' [/INST] [Perhaps:O, more:O, information:O, on:O, XLoader:B-Malware, will:O, be:O, known:O, in:O, the:O, future:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For now , users can make the best of the knowledge they have now to significantly reduce the effectivity of such malware .' [/INST] [For:O, now:O, ,:O, users:O, can:O, make:O, the:O, best:O, of:O, the:O, knowledge:O, they:O, have:O, now:O, to:O, significantly:O, reduce:O, the:O, effectivity:O, of:O, such: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: 'Users of iOS can remove the malicious profile using the Apple Configurator 2 , Apple ’ s official iOS helper app for managing Apple devices .' [/INST] [Users:O, of:O, iOS:B-System, can:O, remove:O, the:O, malicious:O, profile:O, using:O, the:O, Apple:B-Organization, Configurator:O, 2:O, ,:O, Apple:B-Organization, ’:O, s:O, official:O, iOS:B-System, helper:O, app:O, for:O, managing:O, Apple:B-Organization, devices:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Following simple best practices , like strictly downloading applications or any files from trusted sources and being wary of unsolicited messages , can also prevent similar attacks from compromising devices .' [/INST] [Following:O, simple:O, best:O, practices:O, ,:O, like:O, strictly:O, downloading:O, applications:O, or:O, any:O, files:O, from:O, trusted:O, sources:O, and:O, being:O, wary:O, of:O, unsolicited:O, messages:O, ,:O, can:O, also:O, prevent:O, similar:O, attacks:O, from:O, compromising:O, devices:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Indicators of Compromise SHA256 Package App label 332e68d865009d627343b89a5744843e3fde4ae870193f36b82980363439a425 ufD.wykyx.vlhvh SEX kr porn 403401aa71df1830d294b78de0e5e867ee3738568369c48ffafe1b15f3145588 ufD.wyjyx.vahvh 佐川急便 466dafa82a4460dcad722d2ad9b8ca332e9a896fc59f06e16ebe981ad3838a6b' [/INST] [Indicators:O, of:O, Compromise:O, SHA256:O, Package:O, App:O, label:O, 332e68d865009d627343b89a5744843e3fde4ae870193f36b82980363439a425:B-Indicator, ufD.wykyx.vlhvh:B-Indicator, SEX:O, kr:O, porn:O, 403401aa71df1830d294b78de0e5e867ee3738568369c48ffafe1b15f3145588:B-Indicator, ufD.wyjyx.vahvh:B-Indicator, 佐川急便:O, 466dafa82a4460dcad722d2ad9b8ca332e9a896fc59f06e16ebe981ad3838a6b: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: 'com.dhp.ozqh Facebook 5022495104c280286e65184e3164f3f248356d065ad76acef48ee2ce244ffdc8 ufD.wyjyx.vahvh Anshin Scan a0f3df39d20c4eaa410a61a527507dbc6b17c7f974f76e13181e98225bda0511 com.aqyh.xolo 佐川急便 cb412b9a26c1e51ece7a0e6f98f085e1c27aa0251172bf0a361eb5d1165307f7' [/INST] [com.dhp.ozqh:B-Indicator, Facebook:B-Organization, 5022495104c280286e65184e3164f3f248356d065ad76acef48ee2ce244ffdc8:B-Indicator, ufD.wyjyx.vahvh:B-Indicator, Anshin:O, Scan:O, a0f3df39d20c4eaa410a61a527507dbc6b17c7f974f76e13181e98225bda0511:B-Indicator, com.aqyh.xolo:B-Indicator, 佐川急便:O, cb412b9a26c1e51ece7a0e6f98f085e1c27aa0251172bf0a361eb5d1165307f7: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: 'jp.co.sagawa.SagawaOfficialApp 佐川急便 Malicious URLs : hxxp : //38 [ .' [/INST] [jp.co.sagawa.SagawaOfficialApp:B-Indicator, 佐川急便:O, Malicious:O, URLs:O, ::O, hxxp:B-Indicator, ::I-Indicator, //38:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 27 [ .' [/INST] []:I-Indicator, 27:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 99 [ .' [/INST] []:I-Indicator, 99:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 11/xvideo/ hxxp : //apple-icloud [ .' [/INST] []:I-Indicator, 11/xvideo/:I-Indicator, hxxp:B-Indicator, ::I-Indicator, //apple-icloud:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

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

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] com hxxp : //apple-icloud [ .' [/INST] []:I-Indicator, com:I-Indicator, hxxp:B-Indicator, ::I-Indicator, //apple-icloud:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

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

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] com/ hxxp : //apple-icloud [ .' [/INST] []:I-Indicator, com/:I-Indicator, hxxp:B-Indicator, ::I-Indicator, //apple-icloud:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

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

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] com/ hxxp : //files.spamo [ .' [/INST] []:I-Indicator, com/:I-Indicator, hxxp:B-Indicator, ::I-Indicator, //files.spamo:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] jp/佐川急便.apk hxxp : //mailsa-qae [ .' [/INST] []:I-Indicator, jp/佐川急便.apk:I-Indicator, hxxp:B-Indicator, ::I-Indicator, //mailsa-qae:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] com hxxp : //mailsa-qaf [ .' [/INST] []:I-Indicator, com:I-Indicator, hxxp:B-Indicator, ::I-Indicator, //mailsa-qaf:I-Indicator, [:I-Indicator, .:I-Indicator] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] com hxxp : //mailsa-qau [ .' [/INST] []:I-Indicator, com:I-Indicator, hxxp:B-Indicator, ::I-Indicator, //mailsa-qau:I-Indicator, [:I-Indicator, .:I-Indicator] </s>