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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: 'With the capability to open a given URL in a browser , the actor behind ‘ SimBad ’ can generate phishing pages for multiple platforms and open them in a browser , thus performing spear-phishing attacks on the user .' [/INST] [With:O, the:O, capability:O, to:O, open:O, a:O, given:O, URL:O, in:O, a:O, browser:O, ,:O, the:O, actor:O, behind:O, ‘:O, SimBad:B-Malware, ’:O, can:O, generate:O, phishing:O, pages:O, for:O, multiple:O, platforms:O, and:O, open:O, them:O, in:O, a:O, browser:O, ,:O, thus:O, performing:O, spear-phishing:O, attacks:O, on:O, the:O, user:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'With the capability to open market applications , such as Google Play and 9Apps , with a specific keyword search or even a single application ’ s page , the actor can gain exposure for other threat actors and increase his profits .' [/INST] [With:O, the:O, capability:O, to:O, open:O, market:O, applications:O, ,:O, such:O, as:O, Google:B-System, Play:I-System, and:O, 9Apps:B-System, ,:O, with:O, a:O, specific:O, keyword:O, search:O, or:O, even:O, a:O, single:O, application:O, ’:O, s:O, page:O, ,:O, the:O, actor:O, can:O, gain:O, exposure:O, for:O, other:O, threat:O, actors:O, and:O, increase:O, his:O, profits:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 actor can even take his malicious activities to the next level by installing a remote application from a designated server , thus allowing him to install new malware once it is required .' [/INST] [The:O, actor:O, can:O, even:O, take:O, his:O, malicious:O, activities:O, to:O, the:O, next:O, level:O, by:O, installing:O, a:O, remote:O, application:O, from:O, a:O, designated:O, server:O, ,:O, thus:O, allowing:O, him:O, to:O, install:O, new:O, malware:O, once:O, it:O, is:O, required:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The C & C server observed in this campaign is ‘ www [ .' [/INST] [The:O, C:O, &:O, C:O, server:O, observed:O, in:O, this:O, campaign:O, is:O, ‘:O, www: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: '] addroider.com ’ .' [/INST] []:I-Indicator, addroider.com: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 server runs an instance of ‘ Parse Server ’ ( source on GitHub ) , an open source version of the Parse Backend infrastructure , which is a model for providing web app and mobile app developers with a way to link their applications to backend cloud storage and APIs exposed by back-end applications , while also providing features such as user management , push notifications and more .' [/INST] [This:O, server:O, runs:O, an:O, instance:O, of:O, ‘:O, Parse:O, Server:O, ’:O, (:O, source:O, on:O, GitHub:B-Organization, ):O, ,:O, an:O, open:O, source:O, version:O, of:O, the:O, Parse:O, Backend:O, infrastructure:O, ,:O, which:O, is:O, a:O, model:O, for:O, providing:O, web:O, app:O, and:O, mobile:O, app:O, developers:O, with:O, a:O, way:O, to:O, link:O, their:O, applications:O, to:O, backend:O, cloud:O, storage:O, and:O, APIs:O, exposed:O, by:O, back-end:O, applications:O, ,:O, while:O, also:O, providing:O, features:O, such:O, as:O, user:O, management:O, ,:O, push:O, notifications: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: 'The domain ‘ addroider [ .' [/INST] [The:O, domain:O, ‘:O, addroider: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 ’ was registered via GoDaddy , and uses privacy protection service .' [/INST] []:I-Indicator, com:I-Indicator, ’:O, was:O, registered:O, via:O, GoDaddy:B-Organization, ,:O, and:O, uses:O, privacy:O, protection:O, service:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While accessing the domain from a browser you get a login page very similar to other malware panels .' [/INST] [While:O, accessing:O, the:O, domain:O, from:O, a:O, browser:O, you:O, get:O, a:O, login:O, page:O, very:O, similar:O, to:O, other:O, malware:O, panels:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ‘ Register ’ and ‘ Sign Up ’ links are broken and ‘ redirects ’ the user back to the login page .' [/INST] [The:O, ‘:O, Register:O, ’:O, and:O, ‘:O, Sign:O, Up:O, ’:O, links:O, are:O, broken:O, and:O, ‘:O, redirects:O, ’:O, the:O, user:O, back:O, to:O, the:O, login:O, page:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'According to RiskIQ ’ s PassiveTotal , the domain expired 7 months ago .' [/INST] [According:O, to:O, RiskIQ:B-System, ’:O, s:O, PassiveTotal:O, ,:O, the:O, domain:O, expired:O, 7:O, months:O, ago:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As a result , it may be that are looking into a compromised , parked domain that was initially used legitimately , but is now participating in malicious activities .' [/INST] [As:O, a:O, result:O, ,:O, it:O, may:O, be:O, that:O, are:O, looking:O, into:O, a:O, compromised:O, ,:O, parked:O, domain:O, that:O, was:O, initially:O, used:O, legitimately:O, ,:O, but:O, is:O, now:O, participating:O, in:O, malicious:O, activities:O, .:O] </s> |