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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: '] 6 2020-02-29 http : //themoil [ .' [/INST] []:I-Indicator, 6:I-Indicator, 2020-02-29:O, http:B-Indicator, ::I-Indicator, //themoil: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: '] site/gate_cb8a5aea1ab302f0_c online 208.91.197 [ .' [/INST] []:I-Indicator, site/gate_cb8a5aea1ab302f0_c:I-Indicator, online:O, 208.91.197:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 91 2020-03-04 http : //ora.carlaarrabitoarchitetto [ .' [/INST] []:I-Indicator, 91:I-Indicator, 2020-03-04:O, http:B-Indicator, ::I-Indicator, //ora.carlaarrabitoarchitetto: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/gate_cb8a5aea1ab302f0_c offline 31.214.157 [ .' [/INST] []:I-Indicator, com/gate_cb8a5aea1ab302f0_c:I-Indicator, offline:O, 31.214.157:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 6 2020-03-26 http : //rxc.rxcoordinator [ .' [/INST] []:I-Indicator, 6:I-Indicator, 2020-03-26:O, http:B-Indicator, ::I-Indicator, //rxc.rxcoordinator: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/gate_cb8a5aea1ab302f0_c online 185.158.248 [ .' [/INST] []:I-Indicator, com/gate_cb8a5aea1ab302f0_c:I-Indicator, online:O, 185.158.248:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 102 2020-03-29 http : //ora.blindsidefantasy [ .' [/INST] []:I-Indicator, 102:I-Indicator, 2020-03-29:O, http:B-Indicator, ::I-Indicator, //ora.blindsidefantasy: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/gate_cb8a5aea1ab302f0_c online 185.158.248 [ .' [/INST] []:I-Indicator, com/gate_cb8a5aea1ab302f0_c:I-Indicator, online:O, 185.158.248:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 102 2020-04-02 http : //marta.martatovaglieri [ .' [/INST] []:I-Indicator, 102:I-Indicator, 2020-04-02:O, http:B-Indicator, ::I-Indicator, //marta.martatovaglieri: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: '] it/gate_cb8a5aea1ab302f0_c online 185.158.248 [ .' [/INST] []:I-Indicator, it/gate_cb8a5aea1ab302f0_c:I-Indicator, online:O, 185.158.248:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 102 2020-04-14 http : //pub.douglasshome [ .' [/INST] []:I-Indicator, 102:I-Indicator, 2020-04-14:O, http:B-Indicator, ::I-Indicator, //pub.douglasshome: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/gate_cb8a5aea1ab302f0_c online 185.158.249 [ .' [/INST] []:I-Indicator, com/gate_cb8a5aea1ab302f0_c:I-Indicator, online:O, 185.158.249:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 141 2020-04-26 In the course of the investigation , the team discovered a potential link to an additional Android infostealer .' [/INST] []:I-Indicator, 141:I-Indicator, 2020-04-26:O, In:O, the:O, course:O, of:O, the:O, investigation:O, ,:O, the:O, team:O, discovered:O, a:O, potential:O, link:O, to:O, an:O, additional:O, Android:B-Malware, infostealer:I-Malware, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The IP address of both ora.carlaarrabitoarchitetto [ .' [/INST] [The:O, IP:O, address:O, of:O, both:O, ora.carlaarrabitoarchitetto:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] com and ora.studiolegalebasili [ .' [/INST] []:I-Indicator, com:I-Indicator, and:O, ora.studiolegalebasili:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] com , 31.214.157 [ .' [/INST] []:I-Indicator, com:I-Indicator, ,:O, 31.214.157:B-Indicator, [:I-Indicator, .:I-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '] 6 , was previously hosting the domain next.nextuptravel [ .' [/INST] []:I-Indicator, 6:I-Indicator, ,:O, was:O, previously:O, hosting:O, the:O, domain:B-Indicator, next.nextuptravel: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 .' [/INST] []:I-Indicator, com:I-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This was the C2 for an Android infostealer responsible for several attacks in Italy back in late 2019 .' [/INST] [This:O, was:O, the:O, C2:O, for:O, an:O, Android:B-Malware, infostealer:I-Malware, responsible:O, for:O, several:O, attacks:O, in:O, Italy:O, back:O, in:O, late:O, 2019:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'EventBot VirusTotal search for the malicious IP address VirusTotal search for the malicious IP address .' [/INST] [EventBot:B-Malware, VirusTotal:O, search:O, for:O, the:O, malicious:O, IP:O, address:O, VirusTotal:O, search:O, for:O, the:O, malicious:O, IP: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: 'IMPACT EventBot is a mobile malware banking trojan that steals financial information , is able to hijack transactions .' [/INST] [IMPACT:O, EventBot:B-Malware, is:O, a:O, mobile:O, malware:O, banking:O, trojan:O, that:O, steals:O, financial:O, information:O, ,:O, is:O, able:O, to:O, hijack:O, transactions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 this malware has successfully installed , it will collect personal data , passwords , keystrokes , banking information , and more .' [/INST] [Once:O, this:O, malware:O, has:O, successfully:O, installed:O, ,:O, it:O, will:O, collect:O, personal:O, data:O, ,:O, passwords:O, ,:O, keystrokes:O, ,:O, banking:O, information:O, ,:O, and:O, more:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This information can give the attacker access to personal and business bank accounts , personal and business data , and more .' [/INST] [This:O, information:O, can:O, give:O, the:O, attacker:O, access:O, to:O, personal:O, and:O, business:O, bank:O, accounts:O, ,:O, personal:O, and:O, business:O, data:O, ,:O, and:O, more:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Letting an attacker get access to this kind of data can have severe consequences .' [/INST] [Letting:O, an:O, attacker:O, get:O, access:O, to:O, this:O, kind:O, of:O, data:O, can:O, have:O, severe:O, consequences:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 .' [/INST] [60:O, %:O, of:O, devices:O, containing:O, or:O, accessing:O, enterprise:O, data:O, are:O, mobile:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Giving an attacker access to a mobile device can have severe business consequences , especially if the end user is using their mobile device to discuss sensitive business topics or access enterprise financial information .' [/INST] [Giving:O, an:O, attacker:O, access:O, to:O, a:O, mobile:O, device:O, can:O, have:O, severe:O, business:O, consequences:O, ,:O, especially:O, if:O, the:O, end:O, user:O, is:O, using:O, their:O, mobile:O, device:O, to:O, discuss:O, sensitive:O, business:O, topics:O, or:O, access:O, enterprise:O, financial: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: 'This can result in brand degradation , loss of individual reputation , or loss of consumer trust .' [/INST] [This:O, can:O, result:O, in:O, brand:O, degradation:O, ,:O, loss:O, of:O, individual:O, reputation:O, ,:O, or:O, loss:O, of:O, consumer:O, trust:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Much like we have seen in recent months , anyone can be impacted by a mobile device attack .' [/INST] [Much:O, like:O, we:O, have:O, seen:O, in:O, recent:O, months:O, ,:O, anyone:O, can:O, be:O, impacted:O, by:O, a:O, mobile:O, device:O, attack:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attacks are only becoming more common , with one third of all malware now targeting mobile endpoints .' [/INST] [These:O, attacks:O, are:O, only:O, becoming:O, more:O, common:O, ,:O, with:O, one:O, third:O, of:O, all:O, malware:O, now:O, targeting:O, mobile:O, endpoints:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Care and concern both for using a mobile device and for securing a mobile device is critical , especially for those organizations that allow bring-your-own-devices .' [/INST] [Care:O, and:O, concern:O, both:O, for:O, using:O, a:O, mobile:O, device:O, and:O, for:O, securing:O, a:O, mobile:O, device:O, is:O, critical:O, ,:O, especially:O, for:O, those:O, organizations:O, that:O, allow:O, bring-your-own-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: 'CYBEREASON MOBILE Cybereason Mobile detects EventBot and immediately takes remediation actions to protect the end user .' [/INST] [CYBEREASON:B-System, MOBILE:I-System, Cybereason:B-System, Mobile:I-System, detects:I-System, EventBot:B-Malware, and:O, immediately:O, takes:O, remediation:O, actions:O, to:O, protect:O, the:O, end:O, user:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With Cybereason Mobile , analysts can address mobile threats in the same platform as traditional endpoint threats , all as part of one incident .' [/INST] [With:O, Cybereason:B-System, Mobile:I-System, ,:O, analysts:O, can:O, address:O, mobile:O, threats:O, in:O, the:O, same:O, platform:O, as:O, traditional:O, endpoint:O, threats:O, ,:O, all:O, as:O, part:O, of:O, one:O, incident:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Without mobile threat detection , this attack would not be detected , leaving end users and organizations at risk .' [/INST] [Without:O, mobile:O, threat:O, detection:O, ,:O, this:O, attack:O, would:O, not:O, be:O, detected:O, ,:O, leaving:O, end:O, users:O, and:O, organizations:O, at:O, risk:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 detects EventBot and provides the user with immediate actions .' [/INST] [Cybereason:B-System, Mobile:I-System, detects:O, EventBot:B-Malware, and:O, provides:O, the:O, user:O, with:O, immediate:O, actions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 In this research , the Nocturnus team has dissected a rapidly evolving Android malware in the making .' [/INST] [CONCLUSION:O, In:O, this:O, research:O, ,:O, the:O, Nocturnus:B-Organization, team:O, has:O, dissected:O, a:O, rapidly:O, evolving:O, Android:B-Malware, malware:O, in:O, the:O, making:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 abuses the Android accessibility feature to steal user information and is able to update its code and release new features every few days .' [/INST] [This:O, malware:O, abuses:O, the:O, Android:B-System, accessibility:O, feature:O, to:O, steal:O, user:O, information:O, and:O, is:O, able:O, to:O, update:O, its:O, code:O, and:O, release:O, new:O, features:O, every:O, few:O, days:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With each new version , the malware adds new features like dynamic library loading , encryption , and adjustments to different locales and manufacturers .' [/INST] [With:O, each:O, new:O, version:O, ,:O, the:O, malware:O, adds:O, new:O, features:O, like:O, dynamic:O, library:O, loading:O, ,:O, encryption:O, ,:O, and:O, adjustments:O, to:O, different:O, locales:O, and:O, manufacturers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 appears to be a completely new malware in the early stages of development , giving us an interesting view into how attackers create and test their malware .' [/INST] [EventBot:B-Malware, appears:O, to:O, be:O, a:O, completely:O, new:O, malware:O, in:O, the:O, early:O, stages:O, of:O, development:O, ,:O, giving:O, us:O, an:O, interesting:O, view:O, into:O, how:O, attackers:O, create:O, and:O, test:O, their: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: 'Cybereason classifies EventBot as a mobile banking trojan and infostealer based on the stealing features discussed in this research .' [/INST] [Cybereason:B-Organization, classifies:O, EventBot:B-Malware, as:O, a:O, mobile:O, banking:O, trojan:O, and:O, infostealer:O, based:O, on:O, the:O, stealing:O, features:O, discussed:O, in:O, this:O, research:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 leverages webinjects and SMS reading capabilities to bypass two-factor authentication , and is clearly targeting financial applications .' [/INST] [It:O, leverages:O, webinjects:O, and:O, SMS:O, reading:O, capabilities:O, to:O, bypass:O, two-factor:O, authentication:O, ,:O, and:O, is:O, clearly:O, targeting: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: 'Although the threat actor responsible for the development of EventBot is still unknown and the malware does not appear to be involved in major attacks , it is interesting to follow the early stages of mobile malware development .' [/INST] [Although:O, the:O, threat:O, actor:O, responsible:O, for:O, the:O, development:O, of:O, EventBot:B-Malware, is:O, still:O, unknown:O, and:O, the:O, malware:O, does:O, not:O, appear:O, to:O, be:O, involved:O, in:O, major:O, attacks:O, ,:O, it:O, is:O, interesting:O, to:O, follow:O, the:O, early:O, stages:O, of:O, mobile:O, malware:O, development:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 will continue to monitor EventBot ’ s development .' [/INST] [The:O, Cybereason:B-Organization, Nocturnus:I-Organization, team:O, will:O, continue:O, to:O, monitor:O, EventBot:B-Malware, ’:O, s:O, development:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 recent years , online activity has gradually been shifting from personal computers to mobile devices .' [/INST] [In:O, recent:O, years:O, ,:O, online:O, activity:O, has:O, gradually:O, been:O, shifting:O, from:O, personal:O, computers:O, to:O, mobile: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: 'Naturally , this resulted in the introduction of malware for mobile platforms , especially Android devices , including Cerberus , Xhelper and the Anubis Banking Trojan .' [/INST] [Naturally:O, ,:O, this:O, resulted:O, in:O, the:O, introduction:O, of:O, malware:O, for:O, mobile:O, platforms:O, ,:O, especially:O, Android:B-System, devices:O, ,:O, including:O, Cerberus:B-Malware, ,:O, Xhelper:B-Malware, and:O, the:O, Anubis:B-Malware, Banking: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: 'As many people use their mobile devices for online shopping and even to manage their bank accounts , the mobile arena became increasingly profitable for cyber criminals .' [/INST] [As:O, many:O, people:O, use:O, their:O, mobile:O, devices:O, for:O, online:O, shopping:O, and:O, even:O, to:O, manage:O, their:O, bank:O, accounts:O, ,:O, the:O, mobile:O, arena:O, became:O, increasingly:O, profitable:O, for:O, cyber:O, criminals:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 why we recently released Cybereason Mobile , a new offering that strengthens the Cybereason Defense Platform by bringing prevention , detection , and response capabilities to mobile devices .' [/INST] [This:O, is:O, why:O, we:O, recently:O, released:O, Cybereason:B-System, Mobile:I-System, ,:O, a:O, new:O, offering:O, that:O, strengthens:O, the:O, Cybereason:B-System, Defense:I-System, Platform:I-System, by:O, bringing:O, prevention:O, ,:O, detection:O, ,:O, and:O, response:O, capabilities:O, to:O, mobile: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: 'With Cybereason Mobile , our customers can protect against modern threats across traditional and mobile endpoints , all within a single console .' [/INST] [With:O, Cybereason:B-System, Mobile:I-System, ,:O, our:O, customers:O, can:O, protect:O, against:O, modern:O, threats:O, across:O, traditional:O, and:O, mobile:O, endpoints:O, ,:O, all:O, within:O, a:O, single:O, console:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Check Point Mobile Threat Prevention has detected two instances of a mobile malware variant infecting multiple devices within the Check Point customer base .' [/INST] [Check:B-Organization, Point:I-Organization, Mobile:B-System, Threat:I-System, Prevention:I-System, has:O, detected:O, two:O, instances:O, of:O, a:O, mobile:O, malware:O, variant:O, infecting:O, multiple:O, devices:O, within:O, the:O, Check:B-Organization, Point:I-Organization, customer:O, base:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware , packaged within an Android game app called BrainTest , had been published to Google Play twice .' [/INST] [The:O, malware:O, ,:O, packaged:O, within:O, an:O, Android:B-System, game:O, app:O, called:O, BrainTest:B-Malware, ,:O, had:O, been:O, published:O, to:O, Google:B-System, Play:I-System, twice:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 instance had between 100,000 and 500,000 downloads according to Google Play statistics , reaching an aggregated infection rate of between 200,000 and 1 million users .' [/INST] [Each:O, instance:O, had:O, between:O, 100,000:O, and:O, 500,000:O, downloads:O, according:O, to:O, Google:B-System, Play:I-System, statistics:O, ,:O, reaching:O, an:O, aggregated:O, infection:O, rate:O, of:O, between:O, 200,000:O, and:O, 1:O, million: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: 'Check Point reached out to Google on September 10 , 2015 , and the app containing the malware was removed from Google Play on September 15 , 2015 .' [/INST] [Check:B-Organization, Point:I-Organization, reached:O, out:O, to:O, Google:B-Organization, on:O, September:O, 10:O, ,:O, 2015:O, ,:O, and:O, the:O, app:O, containing:O, the:O, malware:O, was:O, removed:O, from:O, Google:B-System, Play:I-System, on:O, September:O, 15:O, ,:O, 2015:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Overview The malware was first detected on a Nexus 5 smartphone , and although the user attempted to remove the infected app , the malware reappeared on the same device shortly thereafter .' [/INST] [Overview:O, The:O, malware:O, was:O, first:O, detected:O, on:O, a:O, Nexus:B-System, 5:I-System, smartphone:O, ,:O, and:O, although:O, the:O, user:O, attempted:O, to:O, remove:O, the:O, infected:O, app:O, ,:O, the:O, malware:O, reappeared:O, on:O, the:O, same:O, device:O, shortly:O, thereafter:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Our analysis of the malware shows it uses multiple , advanced techniques to avoid Google Play malware detection and to maintain persistency on target devices .' [/INST] [Our:O, analysis:O, of:O, the:O, malware:O, shows:O, it:O, uses:O, multiple:O, ,:O, advanced:O, techniques:O, to:O, avoid:O, Google:B-System, Play:I-System, malware:O, detection:O, and:O, to:O, maintain:O, persistency:O, on:O, target: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: 'Once this malware was detected on a device , Mobile Threat Prevention adjusted security policies on the Mobile Device Management solution ( MobileIron ) managing the affected devices automatically , thereby blocking enterprise access from the infected devices .' [/INST] [Once:O, this:O, malware:O, was:O, detected:O, on:O, a:O, device:O, ,:O, Mobile:B-System, Threat:I-System, Prevention:I-System, adjusted:O, security:O, policies:O, on:O, the:O, Mobile:O, Device:O, Management:O, solution:O, (:O, MobileIron:O, ):O, managing:O, the:O, affected:O, devices:O, automatically:O, ,:O, thereby:O, blocking:O, enterprise:O, access:O, from:O, the:O, infected: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: 'While the malware is capable of facilitating various cyber-criminal goals , our team confirmed it ’ s currently installing additional apps on infected devices .' [/INST] [While:O, the:O, malware:O, is:O, capable:O, of:O, facilitating:O, various:O, cyber-criminal:O, goals:O, ,:O, our:O, team:O, confirmed:O, it:O, ’:O, s:O, currently:O, installing:O, additional:O, apps:O, on:O, infected: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: 'Disturbingly , the malware establishes a rootkit on the device , allowing it to download and execute any code a cybercriminal would want to run on a device .' [/INST] [Disturbingly:O, ,:O, the:O, malware:O, establishes:O, a:O, rootkit:O, on:O, the:O, device:O, ,:O, allowing:O, it:O, to:O, download:O, and:O, execute:O, any:O, code:O, a:O, cybercriminal:O, would:O, want:O, to:O, run:O, on:O, a:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For example , it could be used to display unwanted and annoying advertisements on a device , or potentially , to download and deploy a payload that steals credentials from an infected device .' [/INST] [For:O, example:O, ,:O, it:O, could:O, be:O, used:O, to:O, display:O, unwanted:O, and:O, annoying:O, advertisements:O, on:O, a:O, device:O, ,:O, or:O, potentially:O, ,:O, to:O, download:O, and:O, deploy:O, a:O, payload:O, that:O, steals:O, credentials:O, from:O, an:O, infected:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Highlights Samples of the malicious code found in BrainTest have been found on Google Play , and its creator has used multiple methods to evade detection by Google including Bypassing Google Bouncer by detecting if the malware is being run from an IP or domain mapped to Google Bouncer and , if so , it will not perform its intended malicious activities .' [/INST] [Highlights:O, Samples:O, of:O, the:O, malicious:O, code:O, found:O, in:O, BrainTest:B-Malware, have:O, been:O, found:O, on:O, Google:B-System, Play:I-System, ,:O, and:O, its:O, creator:O, has:O, used:O, multiple:O, methods:O, to:O, evade:O, detection:O, by:O, Google:B-Organization, including:O, Bypassing:O, Google:B-System, Bouncer:I-System, by:O, detecting:O, if:O, the:O, malware:O, is:O, being:O, run:O, from:O, an:O, IP:O, or:O, domain:O, mapped:O, to:O, Google:B-System, Bouncer:I-System, and:O, ,:O, if:O, so:O, ,:O, it:O, will:O, not:O, perform:O, its:O, intended:O, malicious:O, activities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Combining timebombs , dynamic code loading , and use of reflection to complicate reverse engineering of the malware .' [/INST] [Combining:O, timebombs:O, ,:O, dynamic:O, code:O, loading:O, ,:O, and:O, use:O, of:O, reflection:O, to:O, complicate:O, reverse:O, engineering:O, of:O, the: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: 'Using off-the-shelf obfuscation ( packer ) from Baidu to re-introduce the malware to Google Play after the first instance was removed on Aug 24th .' [/INST] [Using:O, off-the-shelf:O, obfuscation:O, (:O, packer:O, ):O, from:O, Baidu:B-Organization, to:O, re-introduce:O, the:O, malware:O, to:O, Google:B-System, Play:I-System, after:O, the:O, first:O, instance:O, was:O, removed:O, on:O, Aug:O, 24th:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BrainTest uses four privilege escalation exploits to gain root access on a device and to install a persistent malware as a system application .' [/INST] [BrainTest:B-Malware, uses:O, four:O, privilege:B-Vulnerability, escalation:I-Vulnerability, exploits:I-Vulnerability, to:O, gain:O, root:O, access:O, on:O, a:O, device:O, and:O, to:O, install:O, a:O, persistent:O, malware:O, as:O, a:O, system: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: 'BrainTest leverages an anti-uninstall watchdog that uses two system applications to monitor the removal of one of the components and reinstall the component .' [/INST] [BrainTest:B-Malware, leverages:O, an:O, anti-uninstall:B-Vulnerability, watchdog:I-Vulnerability, that:O, uses:O, two:O, system:O, applications:O, to:O, monitor:O, the:O, removal:O, of:O, one:O, of:O, the:O, components:O, and:O, reinstall:O, the:O, component:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the first instance of BrainTest was detected , Google removed the app from Google Play .' [/INST] [After:O, the:O, the:O, first:O, instance:O, of:O, BrainTest:B-Malware, was:O, detected:O, ,:O, Google:B-Organization, removed:O, the:O, app:O, from:O, Google:B-System, Play:I-System, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Within days , the Check Point research team detected another instance with a different package name but which uses the same code .' [/INST] [Within:O, days:O, ,:O, the:O, Check:B-Organization, Point:I-Organization, research:O, team:O, detected:O, another:O, instance:O, with:O, a:O, different:O, package:O, name:O, but:O, which:O, uses:O, the:O, same:O, code:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware ’ s creators had used obfuscation to upload the new piece of malware to Google Play .' [/INST] [The:O, malware:O, ’:O, s:O, creators:O, had:O, used:O, obfuscation:O, to:O, upload:O, the:O, new:O, piece:O, of:O, malware:O, to: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: 'Technical Analysis The malware consists of 2 applications : The Dropper : Brain Test ( Unpacked – com.mile.brain , Packed – com.zmhitlte.brain ) This is installed from Google Play and downloads an exploit pack from the server to obtain root access on a device .' [/INST] [Technical:O, Analysis:O, The:O, malware:O, consists:O, of:O, 2:O, applications:O, ::O, The:O, Dropper:O, ::O, Brain:O, Test:O, (:O, Unpacked:O, –:O, com.mile.brain:B-Indicator, ,:O, Packed:O, –:O, com.zmhitlte.brain:B-Indicator, ):O, This:O, is:O, installed:O, from:O, Google:B-System, Play:I-System, and:O, downloads:O, an:O, exploit:O, pack:O, from:O, the:O, server:O, to:O, obtain:O, root:O, access:O, on:O, a:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If root access is obtained , the application downloads a malicious .apk file ( The Backdoor ) from the server and installs it as system application .' [/INST] [If:O, root:O, access:O, is:O, obtained:O, ,:O, the:O, application:O, downloads:O, a:O, malicious:O, .apk:O, file:O, (:O, The:O, Backdoor:O, ):O, from:O, the:O, server:O, and:O, installs:O, it:O, as:O, system: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: 'The Backdoor : System malware ( mcpef.apk and brother.apk ) This tries a few persistence methods by using few anti-uninstall techniques ( described below ) and downloads and executes code from server without user consent .' [/INST] [The:O, Backdoor:O, ::O, System:O, malware:O, (:O, mcpef.apk:B-Indicator, and:O, brother.apk:B-Indicator, ):O, This:O, tries:O, a:O, few:O, persistence:O, methods:O, by:O, using:O, few:O, anti-uninstall:O, techniques:O, (:O, described:O, below:O, ):O, and:O, downloads:O, and:O, executes:O, code:O, from:O, server:O, without:O, user:O, consent:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Detailed Malware Structure Malware Strucutre com.mile.brain ( SHA256 : 135d6acff3ca27e6e7997429e5f8051f88215d12351e4103f8344cd66611e0f3 ) : This is the main application found on Google Play .' [/INST] [Detailed:O, Malware:O, Structure:O, Malware:O, Strucutre:O, com.mile.brain:B-Indicator, (:O, SHA256:O, ::O, 135d6acff3ca27e6e7997429e5f8051f88215d12351e4103f8344cd66611e0f3:B-Indicator, ):O, ::O, This:O, is:O, the:O, main:O, application:O, found:O, on: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: 'It contains encrypted java archive “ start.ogg ” in the assets directory and dynamically loads code with dalvik.system.DexClassLoader .' [/INST] [It:O, contains:O, encrypted:O, java:O, archive:O, “:O, start.ogg:B-Indicator, ”:O, in:O, the:O, assets:O, directory:O, and:O, dynamically:O, loads:O, code:O, with:O, dalvik.system.DexClassLoader:B-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'do.jar ( SHA256 : a711e620246d9954510d3f1c8d5c784bacc78069a5c57b9ec09c3e234bc33a8b ) : The decrypted file that was created by “ start.ogg. ” It sends a request to the server with the device ’ s configuration .' [/INST] [do.jar:B-Indicator, (:O, SHA256:O, ::O, a711e620246d9954510d3f1c8d5c784bacc78069a5c57b9ec09c3e234bc33a8b:B-Indicator, ):O, ::O, The:O, decrypted:O, file:O, that:O, was:O, created:O, by:O, “:O, start.ogg.:B-Indicator, ”:O, It:O, sends:O, a:O, request:O, to:O, the:O, server:O, with:O, the:O, device:O, ’:O, s:O, configuration:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The server ’ s response is a json , containing a link to a .jar file , class name and method name to be executed with reflection API .' [/INST] [The:O, server:O, ’:O, s:O, response:O, is:O, a:O, json:O, ,:O, containing:O, a:O, link:O, to:O, a:O, .jar:O, file:O, ,:O, class:O, name:O, and:O, method:O, name:O, to:O, be:O, executed:O, with:O, reflection:O, API:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 application downloads the file and dynamically loads it using dalvik.system.DexClassLoader and invokes class and method specified in json .' [/INST] [The:O, application:O, downloads:O, the:O, file:O, and:O, dynamically:O, loads:O, it:O, using:O, dalvik.system.DexClassLoader:O, and:O, invokes:O, class:O, and:O, method:O, specified:O, in:O, json:B-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: 'jhfrte.jar : This is a java archive file downloaded from server .' [/INST] [jhfrte.jar:I-Indicator, ::O, This:O, is:O, a:O, java:O, archive:O, file:O, downloaded:O, from: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: 'If a device isn ’ t rooted , it downloads from the server an exploit pack and executes it to obtain root on device .' [/INST] [If:O, a:O, device:O, isn:O, ’:O, t:O, rooted:O, ,:O, it:O, downloads:O, from:O, the:O, server:O, an:O, exploit:O, pack:O, and:O, executes:O, it:O, to:O, obtain:O, root:O, on: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: 'Once root is obtained , it downloads an additional APK file from the server ( mcpef.apk ) and installs it as system application ( /system directory ) .' [/INST] [Once:O, root:O, is:O, obtained:O, ,:O, it:O, downloads:O, an:O, additional:O, APK:O, file:O, from:O, the:O, server:O, (:O, mcpef.apk:B-Indicator, ):O, and:O, installs:O, it:O, as:O, system:O, application:O, (:O, /system:O, directory: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: 'r1-r4 : This is a local privilege escalation ( root ) exploit , which includes : CVE-2013-6282 , camerageroot ( http : //www.77169.org/exploits/2013/20130414031700 ) , a rooting tool for mtk6592 and addtional exploit .' [/INST] [r1-r4:O, ::O, This:O, is:O, a:O, local:O, privilege:O, escalation:O, (:O, root:O, ):O, exploit:O, ,:O, which:O, includes:O, ::O, CVE-2013-6282:B-Vulnerability, ,:O, camerageroot:O, (:O, http:B-Indicator, ::I-Indicator, //www.77169.org/exploits/2013/20130414031700:I-Indicator, ):I-Indicator, ,:O, a:O, rooting:O, tool:O, for:O, mtk6592:O, and:O, addtional:O, exploit:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'nis : The su application used to execute shell commands with root privileges .' [/INST] [nis:O, ::O, The:O, su:O, application:O, used:O, to:O, execute:O, shell:O, commands:O, with:O, root:O, privileges:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'mcpef.apk ( SHA256 : a8e7dfac00adf661d371ac52bddc03b543bd6b7aa41314b255e53d810931ceac ) : The malicious system application downloaded from server ( package name – com.android.music.helper ) .' [/INST] [mcpef.apk:B-Indicator, (:O, SHA256:O, ::O, a8e7dfac00adf661d371ac52bddc03b543bd6b7aa41314b255e53d810931ceac:B-Indicator, ):O, ::O, The:O, malicious:O, system:O, application:O, downloaded:O, from:O, server:O, (:O, package:O, name:O, –:O, com.android.music.helper:B-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 installs additional application from assets directory ( brother.apk ) and listens for PACKAGE_REMOVED events .' [/INST] [This:O, installs:O, additional:O, application:O, from:O, assets:O, directory:O, (:O, brother.apk:B-System, ):O, and:O, listens:O, for:O, PACKAGE_REMOVED:O, events:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If brother.apk application is removed , mcpef.apk reinstalls brother.apk from assets .' [/INST] [If:O, brother.apk:B-System, application:O, is:O, removed:O, ,:O, mcpef.apk:B-System, reinstalls:O, brother.apk:B-System, from:O, assets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'brother.apk ( SHA256 : 422fec2e201600bb2ea3140951563f8c6fbd4f8279a04a164aca5e8e753c40e8 ) : The package name – com.android.system.certificate .' [/INST] [brother.apk:B-System, (:O, SHA256:O, ::O, 422fec2e201600bb2ea3140951563f8c6fbd4f8279a04a164aca5e8e753c40e8:B-Indicator, ):O, ::O, The:O, package:O, name:O, –:O, com.android.system.certificate:B-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'System application installed by mcpef.apk .' [/INST] [System:O, application:O, installed:O, by:O, mcpef.apk:B-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This has the same functionality as mcpef.apk .' [/INST] [This:O, has:O, the:O, same:O, functionality:O, as:O, mcpef.apk:B-Indicator, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition , it monitors to verify if com.android.music.helper package is removed .' [/INST] [In:O, addition:O, ,:O, it:O, monitors:O, to:O, verify:O, if:O, com.android.music.helper:B-Indicator, package:O, is:O, removed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If mcpef.apk is removed , brother.apk reinstalls it from a META-INF/brother file boy , post.sh : The shell scripts u sed for application persistency .' [/INST] [If:O, mcpef.apk:B-Indicator, is:O, removed:O, ,:O, brother.apk:B-Indicator, reinstalls:O, it:O, from:O, a:O, META-INF/brother:O, file:O, boy:O, ,:O, post.sh:B-Indicator, ::O, The:O, shell:O, scripts:O, u:O, sed:O, for:O, application:O, persistency:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Application lifecycle Application Lifecycle Google Bouncer Bypass On start , the application checks if it is executed on one of the Google servers : IP ranges 209.85.128.0-209.85.255.255 , 216.58.192.0-216.58.223.255 , 173.194.0.0-173.194.255.255 , 74.125.0.0-74.125.255.255 or if it is executed on IP hosted domain that contains the following strings : “ google ” , ” android ” , ” 1e100 ” .' [/INST] [Application:O, lifecycle:O, Application:O, Lifecycle:O, Google:B-System, Bouncer:I-System, Bypass:O, On:O, start:O, ,:O, the:O, application:O, checks:O, if:O, it:O, is:O, executed:O, on:O, one:O, of:O, the:O, Google:O, servers:O, ::O, IP:O, ranges:O, 209.85.128.0-209.85.255.255:B-Indicator, ,:O, 216.58.192.0-216.58.223.255:B-Indicator, ,:O, 173.194.0.0-173.194.255.255:B-Indicator, ,:O, 74.125.0.0-74.125.255.255:B-Indicator, or:O, if:O, it:O, is:O, executed:O, on:O, IP:O, hosted:O, domain:O, that:O, contains:O, the:O, following:O, strings:O, ::O, “:O, google:O, ”:O, ,:O, ”:O, android:B-System, ”:O, ,:O, ”:O, 1e100:O, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If any of these conditions is true , the application does not continue to execute the malicious flow .' [/INST] [If:O, any:O, of:O, these:O, conditions:O, is:O, true:O, ,:O, the:O, application:O, does:O, not:O, continue:O, to:O, execute:O, the:O, malicious:O, flow:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 method is design to bypass the automatic Google Play protection mechanism called Bouncer .' [/INST] [This:O, method:O, is:O, design:O, to:O, bypass:O, the:O, automatic:O, Google:B-System, Play:I-System, protection:O, mechanism:O, called:O, Bouncer: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: 'Timebombs , Dynamic Code Loading and Reflection If Google Bouncer was not detected , the application starts a time bomb which initiates the malicious flow only after 20 seconds and will run every 2 hours .' [/INST] [Timebombs:O, ,:O, Dynamic:O, Code:O, Loading:O, and:O, Reflection:O, If:O, Google:B-System, Bouncer:I-System, was:O, not:O, detected:O, ,:O, the:O, application:O, starts:O, a:O, time:O, bomb:O, which:O, initiates:O, the:O, malicious:O, flow:O, only:O, after:O, 20:O, seconds:O, and:O, will:O, run:O, every:O, 2:O, hours:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 time bomb triggers unpacker thread .' [/INST] [The:O, time:O, bomb:O, triggers:O, unpacker:O, thread:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Unpacker thread decrypt java archive from assets directory “ start.ogg ” , and dynamically loads it and calls the method “ a.a.a.b ” from this archive .' [/INST] [Unpacker:O, thread:O, decrypt:O, java:O, archive:O, from:O, assets:O, directory:O, “:O, start.ogg:B-Indicator, ”:O, ,:O, and:O, dynamically:O, loads:O, it:O, and:O, calls:O, the:O, method:O, “:O, a.a.a.b:O, ”:O, from:O, this:O, archive:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 method checks if eight hours have passed from the first run of application , and if so , request containing the device ’ s data to the server .' [/INST] [This:O, method:O, checks:O, if:O, eight:O, hours:O, have:O, passed:O, from:O, the:O, first:O, run:O, of:O, application:O, ,:O, and:O, if:O, so:O, ,:O, request:O, containing:O, the:O, device:O, ’:O, s:O, data:O, to:O, the: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 server sends back encoded json containing URL , class name and method name .' [/INST] [The:O, server:O, sends:O, back:O, encoded:O, json:O, containing:O, URL:O, ,:O, class:O, name:O, and:O, method:O, name:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Then the application downloads java archive from the URL specified in json , dynamically loads it with class loader API .' [/INST] [Then:O, the:O, application:O, downloads:O, java:O, archive:O, from:O, the:O, URL:O, specified:O, in:O, json:O, ,:O, dynamically:O, loads:O, it:O, with:O, class:O, loader:O, API:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 archive is loaded , the application uses reflection api to call methods from the class names specified in the json .' [/INST] [Once:O, archive:O, is:O, loaded:O, ,:O, the:O, application:O, uses:O, reflection:O, api:O, to:O, call:O, methods:O, from:O, the:O, class:O, names:O, specified:O, in:O, the:O, json:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Rooting and Ad Network Presentation The reflection loaded methods check if the device is rooted .' [/INST] [Rooting:O, and:O, Ad:O, Network:O, Presentation:O, The:O, reflection:O, loaded:O, methods:O, check:O, if:O, the:O, device:O, is:O, rooted:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 not , the application downloads a pack of exploits from the server and runs them one-by-one up until root is achieved .' [/INST] [If:O, not:O, ,:O, the:O, application:O, downloads:O, a:O, pack:O, of:O, exploits:O, from:O, the:O, server:O, and:O, runs:O, them:O, one-by-one:O, up:O, until:O, root:O, is:O, achieved:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 root , the application copies su binary to /system/bin directory and silently downloads apk file from the server .' [/INST] [As:O, root:O, ,:O, the:O, application:O, copies:O, su:O, binary:O, to:O, /system/bin:O, directory:O, and:O, silently:O, downloads:O, apk:O, file:O, from:O, the: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: 'Then , the APK is installed as system application and registers listener on USER_PRESENT event .' [/INST] [Then:O, ,:O, the:O, APK:O, is:O, installed:O, as:O, system:O, application:O, and:O, registers:O, listener:O, on:O, USER_PRESENT:O, event:O, .:O] </s> |