Datasets:

pritamdeka

/

dataset_aptner_train

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: 'From April 19-24 , 2017 , a politically-motivated , targeted campaign was carried out against numerous Israeli organizations .' [/INST] [From:O, April:B-TIME, 19-24:I-TIME, ,:I-TIME, 2017:E-TIME, ,:O, a:O, politically-motivated:O, ,:O, targeted:O, campaign:O, was:O, carried:O, out:O, against:O, numerous:O, Israeli:S-LOC, organizations:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Morphisec researchers began investigating the attacks on April 24 and continue to uncover more details .' [/INST] [Morphisec:B-SECTEAM, researchers:E-SECTEAM, began:O, investigating:O, the:O, attacks:O, on:O, April:B-TIME, 24:E-TIME, and:O, continue:O, to:O, uncover:O, more:O, details:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Initial reports of the attacks , published April 26 ( in Hebrew ) by the Israel National Cyber Event Readiness Team ( CERT-IL ) and The Marker , confirm that the attack was delivered through compromised email accounts at Ben-Gurion University and sent to multiple targets across Israel .' [/INST] [Initial:O, reports:O, of:O, the:O, attacks:O, ,:O, published:O, April:B-TIME, 26:E-TIME, (:O, in:O, Hebrew:S-LOC, ):O, by:O, the:O, Israel:B-SECTEAM, National:I-SECTEAM, Cyber:I-SECTEAM, Event:I-SECTEAM, Readiness:I-SECTEAM, Team:E-SECTEAM, (:O, CERT-IL:S-SECTEAM, ):O, and:O, The:O, Marker:S-SECTEAM, ,:O, confirm:O, that:O, the:O, attack:O, was:O, delivered:O, through:O, compromised:O, email:S-TOOL, accounts:O, at:O, Ben-Gurion:B-IDTY, University:E-IDTY, and:O, sent:O, to:O, multiple:O, targets:O, across:O, Israel:S-LOC, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ironically , Ben-Gurion University is home to Israel ’s Cyber Security Research Center .' [/INST] [Ironically:O, ,:O, Ben-Gurion:B-IDTY, University:E-IDTY, is:O, home:O, to:O, Israel:B-SECTEAM, ’s:I-SECTEAM, Cyber:I-SECTEAM, Security:I-SECTEAM, Research:I-SECTEAM, Center:E-SECTEAM, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Investigators put the origin of the attack as Iranian ; Morphisec ’s research supports this conclusion and attributes the attacks to the same infamous hacker group responsible for the OilRig malware campaigns .' [/INST] [Investigators:O, put:O, the:O, origin:O, of:O, the:O, attack:O, as:O, Iranian:S-LOC, ;:O, Morphisec:S-SECTEAM, ’s:O, research:O, supports:O, this:O, conclusion:O, and:O, attributes:O, the:O, attacks:O, to:O, the:O, same:O, infamous:O, hacker:O, group:O, responsible:O, for:O, the:O, OilRig:S-MAL, malware:O, campaigns:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 fileless attack was delivered via Microsoft Word documents that exploited a former zero-day vulnerability in Word , CVE-2017-0199 , to install a fileless attack variant of the Helminth Trojan agent .' [/INST] [The:O, fileless:B-APT, attack:E-APT, was:O, delivered:O, via:O, Microsoft:B-TOOL, Word:E-TOOL, documents:O, that:O, exploited:O, a:O, former:O, zero-day:S-VULNAME, vulnerability:O, in:O, Word:S-TOOL, ,:O, CVE-2017-0199:S-VULID, ,:O, to:O, install:O, a:O, fileless:O, attack:O, variant:O, of:O, the:O, Helminth:S-MAL, Trojan:S-MAL, agent:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Microsoft released the patch for the vulnerability on April 11 , but many organizations have not yet deployed the update .' [/INST] [Microsoft:S-IDTY, released:O, the:O, patch:O, for:O, the:O, vulnerability:O, on:O, April:B-TIME, 11:E-TIME, ,:O, but:O, many:O, organizations:O, have:O, not:O, yet:O, deployed:O, the:O, update:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attackers actually based their attack on an existing Proof-of-Concept method that was published by researchers after the patch release .' [/INST] [The:O, attackers:O, actually:O, based:O, their:O, attack:O, on:O, an:O, existing:O, Proof-of-Concept:O, method:O, that:O, was:O, published:O, by:O, researchers:O, after:O, the:O, patch:O, release:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 hunting through known malware repositories , Morphisec identified matching samples uploaded by Israeli high-tech development companies , medical organizations and education organizations , indicating that they were victims of the attack .' [/INST] [By:O, hunting:O, through:O, known:O, malware:O, repositories:O, ,:O, Morphisec:S-SECTEAM, identified:O, matching:O, samples:O, uploaded:O, by:O, Israeli:S-LOC, high-tech:O, development:O, companies:O, ,:O, medical:B-IDTY, organizations:E-IDTY, and:O, education:B-IDTY, organizations:E-IDTY, ,:O, indicating:O, that:O, they:O, were:O, victims:O, of:O, the: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: 'For security purposes , Morphisec is not revealing these names .' [/INST] [For:O, security:O, purposes:O, ,:O, Morphisec:S-SECTEAM, is:O, not:O, revealing:O, these:O, names:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 deeper investigation into the installed Helminth fileless agent , we identified a near perfect match to the OilRig campaign executed by an Iranian hacker group against 140 financial institutions in the Middle East last year , as analyzed by FireEye , Palo Alto Networks and Logrhythm .' [/INST] [Upon:O, deeper:O, investigation:O, into:O, the:O, installed:O, Helminth:S-MAL, fileless:O, agent:O, ,:O, we:O, identified:O, a:O, near:O, perfect:O, match:O, to:O, the:O, OilRig:S-MAL, campaign:O, executed:O, by:O, an:O, Iranian:S-LOC, hacker:O, group:O, against:O, 140:O, financial:O, institutions:O, in:O, the:O, Middle:B-LOC, East:E-LOC, last:O, year:O, ,:O, as:O, analyzed:O, by:O, FireEye:S-SECTEAM, ,:O, Palo:B-SECTEAM, Alto:I-SECTEAM, Networks:E-SECTEAM, and:O, Logrhythm:S-SECTEAM, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 group has become one of the most active threat actors , with noteworthy abilities , resources and infrastructure ; speculations indicate the hacking organization to be sponsored by the Iranian government .' [/INST] [This:O, group:O, has:O, become:O, one:O, of:O, the:O, most:O, active:O, threat:O, actors:O, ,:O, with:O, noteworthy:O, abilities:O, ,:O, resources:O, and:O, infrastructure:O, ;:O, speculations:O, indicate:O, the:O, hacking:O, organization:O, to:O, be:O, sponsored:O, by:O, the:O, Iranian:B-IDTY, government:E-IDTY, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 other recent attacks ( January 2017 ) , the group used a fake Juniper Networks VPN portal and fake University of Oxford websites to deliver malware as described by ClearSky .' [/INST] [In:O, other:O, recent:O, attacks:O, (:O, January:B-TIME, 2017:E-TIME, ):O, ,:O, the:O, group:O, used:O, a:O, fake:O, Juniper:B-TOOL, Networks:I-TOOL, VPN:E-TOOL, portal:O, and:O, fake:O, University:B-IDTY, of:I-IDTY, Oxford:E-IDTY, websites:O, to:O, deliver:O, malware:O, as:O, described:O, by:O, ClearSky:S-SECTEAM, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Name SHA256 .' [/INST] [Name:O, SHA256:S-ENCR, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '13.doc : a9bbbf5e4797d90d579b2cf6f9d61443dff82ead9d9ffd10f3c31b686ccf81ab .' [/INST] [13.doc:S-FILE, ::O, a9bbbf5e4797d90d579b2cf6f9d61443dff82ead9d9ffd10f3c31b686ccf81ab:S-SHA2, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '558.doc , 2.doc: 2869664d456034a611b90500f0503d7d6a64abf62d9f9dd432a8659fa6659a84 .' [/INST] [558.doc:S-FILE, ,:O, 2.doc::O, 2869664d456034a611b90500f0503d7d6a64abf62d9f9dd432a8659fa6659a84:S-SHA2, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '1.doc : 832cc791aad6462687e42e40fd9b261f3d2fbe91c5256241264309a5d437e4d8 .' [/INST] [1.doc:S-FILE, ::O, 832cc791aad6462687e42e40fd9b261f3d2fbe91c5256241264309a5d437e4d8:S-SHA2, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '3.doc : d4eb4035e11da04841087a181c48cd85f75c620a84832375925e6b03973d8e48 .' [/INST] [3.doc:S-FILE, ::O, d4eb4035e11da04841087a181c48cd85f75c620a84832375925e6b03973d8e48:S-SHA2, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The most notable difference from last year ’s OilRig campaign is the way the attack was delivered .' [/INST] [The:O, most:O, notable:O, difference:O, from:O, last:O, year:O, ’s:O, OilRig:S-MAL, campaign:O, is:O, the:O, way:O, the:O, attack:O, was:O, delivered:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 previous campaign , the Iranian group sent specially crafted Excel and Word files , which contained macros that targeted individuals were convinced to enable .' [/INST] [In:O, the:O, previous:O, campaign:O, ,:O, the:O, Iranian:S-LOC, group:O, sent:O, specially:O, crafted:O, Excel:S-TOOL, and:O, Word:S-TOOL, files:O, ,:O, which:O, contained:O, macros:O, that:O, targeted:O, individuals:O, were:O, convinced:O, to:O, enable:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Name Delivery Server .' [/INST] [Name:O, Delivery: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: 'test4.hta http://comonscar.in ( 82.145.40.46 ) .' [/INST] [test4.hta:S-FILE, http://comonscar.in:S-URL, (:O, 82.145.40.46:S-IP, ):O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'test5.hta 80.82.67.42 .' [/INST] [test5.hta:S-FILE, 80.82.67.42:S-IP, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'test1.hta reserved .' [/INST] [test1.hta:S-FILE, reserved:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'SHA256: 5ac61ea5142d53412a251eb77f2961e3334a00c83da9087d355a49618220ac43 .' [/INST] [SHA256::O, 5ac61ea5142d53412a251eb77f2961e3334a00c83da9087d355a49618220ac43:S-SHA2, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Name SHA256 .' [/INST] [Name:O, SHA256:S-ENCR, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '0011.ps1 042F60714E9347DB422E1A3A471DC0301D205FFBD053A4015D2B509DB92029D1 .' [/INST] [0011.ps1:S-FILE, 042F60714E9347DB422E1A3A471DC0301D205FFBD053A4015D2B509DB92029D1:S-SHA2, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '1.vbs BE7F1D411CC4160BB221C7181DA4370972B6C867AF110C12850CAD77981976ED .' [/INST] [1.vbs:S-FILE, BE7F1D411CC4160BB221C7181DA4370972B6C867AF110C12850CAD77981976ED:S-SHA2, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Glimpse into Glimpse For the second blog post in our series, the IronNet Threat Research Team examines the Glimpse malware that is written in PowerShell and has been associated with .' [/INST] [A:O, Glimpse:O, into:O, Glimpse:S-APT, For:O, the:O, second:O, blog:O, post:O, in:O, our:O, series,:O, the:O, IronNet:B-SECTEAM, Threat:I-SECTEAM, Research:I-SECTEAM, Team:E-SECTEAM, examines:O, the:O, Glimpse:S-MAL, malware:O, that:O, is:O, written:O, in:O, PowerShell:S-TOOL, and:O, has:O, been:O, associated:O, with:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 first post about analyzing malware with DNS tunneling capabilities focuses on how the PoisonFrog malware uses DNS tunneling to send and receive victim information and commands .' [/INST] [Our:O, first:O, post:O, about:O, analyzing:O, malware:O, with:O, DNS:PROT, tunneling:O, capabilities:O, focuses:O, on:O, how:O, the:O, PoisonFrog:S-MAL, malware:O, uses:O, DNS:B-ACT, tunneling:E-ACT, to:O, send:O, and:O, receive:O, victim:O, information:O, and:O, commands:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Glimpse : 6e86c57385d26a59c0df1580454b9967 .' [/INST] [Glimpse:S-MAL, ::O, 6e86c57385d26a59c0df1580454b9967:S-MD5, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Glimpse is a PowerShell script that is executed silently by Visual Basic .' [/INST] [Glimpse:S-MAL, is:O, a:O, PowerShell:S-TOOL, script:O, that:O, is:O, executed:O, silently:O, by:O, Visual:B-TOOL, Basic:E-TOOL, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Based on the code, it is unclear what initiates the Visual Basic script .' [/INST] [Based:O, on:O, the:O, code,:O, it:O, is:O, unclear:O, what:O, initiates:O, the:O, Visual:B-TOOL, Basic:E-TOOL, script:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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, a variety of typical persistence mechanisms, such as a scheduled task, could serve that .' [/INST] [However,:O, a:O, variety:O, of:O, typical:O, persistence:O, mechanisms,:O, such:O, as:O, a:O, scheduled:O, task,:O, could:O, serve:O, that:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Glimpse starts, it checks for the existence of a directory and lock .' [/INST] [After:O, Glimpse:S-MAL, starts,:O, it:O, checks:O, for:O, the:O, existence:O, of:O, a:O, directory:O, and:O, lock:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 no directory or lock file is found, Glimpse creates .' [/INST] [If:O, no:O, directory:O, or:O, lock:O, file:O, is:O, found,:O, Glimpse:S-MAL, creates:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Alternatively, if these do exist and the lock file is older than 10 minutes, the lock file is deleted and the previously running Glimpse script is .' [/INST] [Alternatively,:O, if:O, these:O, do:O, exist:O, and:O, the:O, lock:O, file:O, is:O, older:O, than:O, 10:O, minutes,:O, the:O, lock:O, file:O, is:O, deleted:O, and:O, the:O, previously:O, running:O, Glimpse:S-MAL, script:O, is:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 initial checks described above, Glimpse creates a hidden file that contains an agent ID, which is a simple concatenation of a random number 10-99 and the first 8 characters of a GUID without .' [/INST] [After:O, the:O, initial:O, checks:O, described:O, above,:O, Glimpse:S-MAL, creates:O, a:O, hidden:O, file:O, that:O, contains:O, an:O, agent:O, ID,:O, which:O, is:O, a:O, simple:O, concatenation:O, of:O, a:O, random:O, number:O, 10-99:O, and:O, the:O, first:O, 8:O, characters:O, of:O, a:O, GUID:S-TOOL, without:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 methods employed by Glimpse to perform DNS communications are determined by the mode in which it is operating (i.e., text mode or ping ) .' [/INST] [The:O, methods:O, employed:O, by:O, Glimpse:S-MAL, to:O, perform:O, DNS:PROT, communications:O, are:O, determined:O, by:O, the:O, mode:O, in:O, which:O, it:O, is:O, operating:O, (i.e.,:O, text:O, mode:O, or:O, ping: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: 'In text mode, Glimpse manually builds a DNS query to be transmitted over a UDP socket .' [/INST] [In:O, text:O, mode,:O, Glimpse:S-MAL, manually:O, builds:B-ACT, a:I-ACT, DNS:I-ACT, query:E-ACT, to:O, be:O, transmitted:O, over:O, a:O, UDP:B-TOOL, socket:E-TOOL, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ping mode, Glimpse uses a .NET .' [/INST] [In:O, ping:O, mode,:O, Glimpse:S-MAL, uses:O, a:B-FILE, .NET:E-FILE, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 table below describes the operational mode, record types used, and the method used to send the .' [/INST] [The:O, table:O, below:O, describes:O, the:O, operational:O, mode,:O, record:O, types:O, used,:O, and:O, the:O, method:O, used:O, to:O, send:O, the:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 first DNS query by Glimpse requests the mode to be used in future communications with the controller (i.e., ping mode or text ) .' [/INST] [The:O, first:O, DNS:PROT, query:O, by:O, Glimpse:S-MAL, requests:O, the:O, mode:O, to:O, be:O, used:O, in:O, future:O, communications:O, with:O, the:O, controller:O, (i.e.,:O, ping:O, mode:O, or:O, text: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: 'Prior to making any query, a function called AdrGen is used to build a query .' [/INST] [Prior:O, to:O, making:O, any:O, query,:O, a:O, function:O, called:O, AdrGen:O, is:O, used:O, to:O, build:O, a:O, query:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 function takes several parameters, most of which are represented in the subdomain label(s) of the query .' [/INST] [This:O, function:O, takes:O, several:O, parameters,:O, most:O, of:O, which:O, are:O, represented:O, in:O, the:O, subdomain:O, label(s):O, of:O, the:O, query:O, .:O] </s>

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

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 mentioned above, one of the parameters passed to the AdrGen function is the action .' [/INST] [As:O, mentioned:O, above,:O, one:O, of:O, the:O, parameters:O, passed:O, to:O, the:O, AdrGen:O, function:O, is:O, the:O, action:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Table 5: Glimpse action parameters values for the AdrGen function below contains the possible parameters, a brief description, and return values applicable to the action .' [/INST] [Table:O, 5::O, Glimpse:S-MAL, action:O, parameters:O, values:O, for:O, the:O, AdrGen:O, function:O, below:O, contains:O, the:O, possible:O, parameters,:O, a:O, brief:O, description,:O, and:O, return:O, values:O, applicable:O, to:O, the:O, action:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 query to set the receive mode expects an A resource record response from the .' [/INST] [The:O, query:O, to:O, set:O, the:O, receive:O, mode:O, expects:O, an:O, A:O, resource:O, record:O, response:O, from:O, the:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 controller will respond with one of two responses: 99.250.250.199 will set the receive mode to .' [/INST] [The:O, controller:O, will:O, respond:O, with:O, one:O, of:O, two:O, responses::O, 99.250.250.199:S-IP, will:O, set:O, the:O, receive:O, mode:O, to:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Any other IP address will set the receive mode to ping, although the server-side software suggests 199.250.250.99 will be .' [/INST] [Any:O, other:O, IP:O, address:O, will:O, set:O, the:O, receive:O, mode:O, to:O, ping,:O, although:O, the:O, server-side:O, software:O, suggests:O, 199.250.250.99:S-IP, will:O, be:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 set in text receive mode, the malware uses the AdrGen function to create another query string with the r (receiver) flag and a W (wait) action .' [/INST] [When:O, set:O, in:O, text:O, receive:O, mode,:O, the:O, malware:O, uses:O, the:O, AdrGen:O, function:O, to:O, create:O, another:O, query:O, string:O, with:O, the:O, r:O, (receiver):O, flag:O, and:O, a:O, W:O, (wait):O, action:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 expected TXT record response has the following structure: .' [/INST] [The:O, expected:O, TXT:O, record:O, response:O, has:O, the:O, following:O, structure::O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 our sample traffic, the TXT resource record returned contained: .' [/INST] [In:O, our:O, sample:O, traffic,:O, the:O, TXT:O, resource:O, record:O, returned:O, contained::O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 response tells the malware to set a variable for the file name to receivebox\rcvd10100 and set the next query action to D in order to request the next chunk of .' [/INST] [This:O, response:O, tells:O, the:O, malware:O, to:O, set:O, a:O, variable:O, for:O, the:O, file:O, name:O, to:O, receivebox\rcvd10100:S-FILE, and:O, set:O, the:O, next:O, query:O, action:O, to:O, D:O, in:O, order:O, to:O, request:O, the:O, next:O, chunk:O, of:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 sends another TXT query with the receiver .' [/INST] [The:O, malware:O, sends:O, another:O, TXT:O, query:O, with:O, the:O, receiver:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 query is depicted below: 39e9D60005eca60000BCC64T.sample-domain.evil In the case of our sample traffic, the server responded with the following TXT resource record data: .' [/INST] [This:O, query:O, is:O, depicted:O, below::O, 39e9D60005eca60000BCC64T.sample-domain.evil:S-FILE, In:O, the:O, case:O, of:O, our:O, sample:O, traffic,:O, the:O, server:O, responded:O, with:O, the:O, following:O, TXT:O, resource:O, record:O, data::O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The controller provided the malware with base64-encoded data to be .' [/INST] [The:O, controller:O, provided:O, the:O, malware:O, with:O, base64-encoded:S-ENCR, data:O, to:O, be:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 data will eventually be written to disk and the malware sets the next query action to D in order to request the next chunk of .' [/INST] [The:O, data:O, will:O, eventually:O, be:O, written:O, to:O, disk:O, and:O, the:O, malware:O, sets:O, the:O, next:O, query:O, action:O, to:O, D:O, in:O, order:O, to:O, request:O, the:O, next:O, chunk:O, of:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 decoded data shows a command to be executed whoami&ipconfig /all on the victim .' [/INST] [The:O, decoded:O, data:O, shows:O, a:O, command:O, to:O, be:O, executed:B-ACT, whoami&ipconfig:I-ACT, /all:E-ACT, on:O, the:O, victim:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 sends another TXT query with the receiver structure, as depicted .' [/INST] [The:O, malware:O, sends:O, another:O, TXT:O, query:O, with:O, the:O, receiver:O, structure,:O, as:O, depicted:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Note the request number parameter is now 0001: 39e965e000caD60001679C79T.sample-domain.evil .' [/INST] [Note:O, the:O, request:O, number:O, parameter:O, is:O, now:O, 0001::O, 39e965e000caD60001679C79T.sample-domain.evil:S-FILE, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 TXT record returned contained data: E0000>0 .' [/INST] [The:O, TXT:O, record:O, returned:O, contained:O, data::O, E0000>0:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 controller issued the command to write the base64-decoded and modified data to the file name set earlier in the exchange .' [/INST] [The:O, controller:O, issued:O, the:O, command:O, to:O, write:O, the:O, base64-decoded:O, and:O, modified:O, data:O, to:O, the:O, file:O, name:O, set:O, earlier:O, in:O, the:O, exchange:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 file is written, the malware moves on to process operations .' [/INST] [After:O, the:O, file:O, is:O, written,:O, the:O, malware:O, moves:O, on:O, to:O, process:O, operations:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Glimpse can be set to use ping mode in several ways while performing receive operations .' [/INST] [Glimpse:S-MAL, can:O, be:O, set:O, to:O, use:O, ping:O, mode:O, in:O, several:O, ways:O, while:O, performing:O, receive:O, operations:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 query with the M action returns an IP address that is not 99.250.250.199 , the malware will use ping mode .' [/INST] [If:O, a:O, query:O, with:O, the:O, M:O, action:O, returns:O, an:O, IP:O, address:O, that:O, is:O, not:O, 99.250.250.199:S-IP, ,:O, the:O, malware:O, will:O, use:O, ping:O, mode:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 is worth noting that the IP response observed to set ping mode was the reverse of the IP used to set text mode (i.e., 199.250.250.99 ) .' [/INST] [It:O, is:O, worth:O, noting:O, that:O, the:O, IP:O, response:O, observed:O, to:O, set:O, ping:O, mode:O, was:O, the:O, reverse:O, of:O, the:O, IP:O, used:O, to:O, set:O, text:O, mode:O, (i.e.,:O, 199.250.250.99:S-IP, ):O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Ping mode will also be set if exceptions occur more than three times during text .' [/INST] [Ping:O, mode:O, will:O, also:O, be:O, set:O, if:O, exceptions:O, occur:O, more:O, than:O, three:O, times:O, during:O, text:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 latter case, the P action is passed as one of the parameters to AdrGen and the query is made for an A resource record using the [System.Net.Dns]::GetHostAddresses .' [/INST] [In:O, the:O, latter:O, case,:O, the:O, P:O, action:O, is:O, passed:O, as:O, one:O, of:O, the:O, parameters:O, to:O, AdrGen:O, and:O, the:O, query:O, is:O, made:O, for:O, an:O, A:O, resource:O, record:O, using:O, the:O, [System.Net.Dns]::GetHostAddresses:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 performing receive operations in ping mode, Glimpse makes a query with the 0 action to contact the controller for .' [/INST] [If:O, performing:O, receive:O, operations:O, in:O, ping:O, mode,:O, Glimpse:S-MAL, makes:O, a:O, query:O, with:O, the:O, 0:O, action:O, to:O, contact:O, the:O, controller:O, for:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 query uses a receive structure similar to an M action; it is worth noting all of the receiver operation queries made in ping mode use the [System.Net.Dns]::GetHostAddresses .' [/INST] [This:O, query:O, uses:O, a:O, receive:O, structure:O, similar:O, to:O, an:O, M:O, action;:O, it:O, is:O, worth:O, noting:O, all:O, of:O, the:O, receiver:O, operation:O, queries:O, made:O, in:O, ping:O, mode:O, use:O, the:O, [System.Net.Dns]::GetHostAddresses:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 our sample, after the malware sent the 0 action, the controller responded with an A record containing 24.125.10.140 .' [/INST] [In:O, our:O, sample,:O, after:O, the:O, malware:O, sent:O, the:O, 0:O, action,:O, the:O, controller:O, responded:O, with:O, an:O, A:O, record:O, containing:O, 24.125.10.140:S-IP, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 response tells the malware to: Set the file name for the data that will follow to 10140, Set the part number to 0, Parse response data, Set a 1 action for the next .' [/INST] [This:O, response:O, tells:O, the:O, malware:O, to::O, Set:O, the:O, file:O, name:O, for:O, the:O, data:O, that:O, will:O, follow:O, to:O, 10140,:O, Set:O, the:O, part:O, number:O, to:O, 0,:O, Parse:O, response:O, data,:O, Set:O, a:O, 1:O, action:O, for:O, the:O, next:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Query: 00039e9650eca66C06T.sample-domain.evil , Response: 24.125.10.140 , File name: 10140, Query: 139e965e000ca6D2C80T.sample-domain.evil , Response: 110.101.116.0 , Query: 00339e965e1ca6EF4C07T.sample-domain.evil , Response: 32.117.115.3 , Query: 30069e 1965eca6FE8C13T.sample-domain.evil, Response: 101.114.32.6 , Query: 391 e960095eca63570BC62T.sample-domain.evil , Response: 1.2.3.0 .' [/INST] [Query::O, 00039e9650eca66C06T.sample-domain.evil:S-FILE, ,:O, Response::O, 24.125.10.140:S-IP, ,:O, File:O, name::O, 10140,:O, Query::O, 139e965e000ca6D2C80T.sample-domain.evil:S-FILE, ,:O, Response::O, 110.101.116.0:S-IP, ,:O, Query::O, 00339e965e1ca6EF4C07T.sample-domain.evil:S-FILE, ,:O, Response::O, 32.117.115.3:S-IP, ,:O, Query::O, 30069e:O, 1965eca6FE8C13T.sample-domain.evil,:O, Response::O, 101.114.32.6:S-IP, ,:O, Query::O, 391:B-FILE, e960095eca63570BC62T.sample-domain.evil:E-FILE, ,:O, Response::O, 1.2.3.0:S-IP, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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, the content net user is written to .' [/INST] [In:O, this:O, case,:O, the:O, content:O, net:O, user:O, is:O, written:O, to:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 writing the data to disk, receiver operations are complete and processor operations .' [/INST] [After:O, writing:O, the:O, data:O, to:O, disk,:O, receiver:O, operations:O, are:O, complete:O, and:O, processor:O, operations:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 writing the data received from the controller, a function is called to process the received .' [/INST] [After:O, writing:O, the:O, data:O, received:O, from:O, the:O, controller,:O, a:O, function:O, is:O, called:O, to:O, process:O, the:O, received:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 processor function builds a list of files from the files with content that match rcvd* in the receivebox .' [/INST] [The:O, processor:O, function:O, builds:O, a:O, list:O, of:O, files:O, from:O, the:O, files:O, with:O, content:O, that:O, match:O, rcvd*:O, in:O, the:O, receivebox:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Similar to PoisonFrog , the last digit of the received file name determines how the content of the file is .' [/INST] [Similar:O, to:O, PoisonFrog:S-MAL, ,:O, the:O, last:O, digit:O, of:O, the:O, received:O, file:O, name:O, determines:O, how:O, the:O, content:O, of:O, the:O, file:O, is:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 our sample traffic, after executing the commands sent via cmd.exe , Glimpse writes the output of the commands in the sendbox directory to the appropriate file names (e.g., 10100 or 10140) prepended with proc (e.g., ) .' [/INST] [In:O, our:O, sample:O, traffic,:O, after:O, executing:O, the:O, commands:O, sent:O, via:O, cmd.exe:S-FILE, ,:O, Glimpse:S-MAL, writes:O, the:O, output:O, of:O, the:O, commands:O, in:O, the:O, sendbox:O, directory:O, to:O, the:O, appropriate:O, file:O, names:O, (e.g.,:O, 10100:O, or:O, 10140):O, prepended:O, with:O, proc:O, (e.g.,: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: 'Once written, the send operations .' [/INST] [Once:O, written,:O, the:O, send:O, operations:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Similar to text mode receiver, after AdrGen builds the string, a function to manually build and send the DNS query packet is .' [/INST] [Similar:O, to:O, text:O, mode:O, receiver,:O, after:O, AdrGen:S-MAL, builds:O, the:O, string,:O, a:O, function:O, to:O, manually:O, build:O, and:O, send:O, the:O, DNS:PROT, query:O, packet:O, is:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 text mode sender uses the same hardcoded transaction ID 0xa4a3; however, instead of sending queries for TXT resource records, the malware uses A resource .' [/INST] [The:O, text:O, mode:O, sender:O, uses:O, the:O, same:O, hardcoded:O, transaction:O, ID:O, 0xa4a3;:O, however,:O, instead:O, of:O, sending:O, queries:O, for:O, TXT:O, resource:O, records,:O, the:O, malware:O, uses:O, A:O, resource:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 with the text mode receiver, the query is made with a direct connection to the controller IP address as opposed to allowing the query to propagate the native DNS .' [/INST] [As:O, with:O, the:O, text:O, mode:O, receiver,:O, the:O, query:O, is:O, made:O, with:O, a:O, direct:O, connection:O, to:O, the:O, controller:O, IP:O, address:O, as:O, opposed:O, to:O, allowing:O, the:O, query:O, to:O, propagate:O, the:O, native:O, DNS:PROT, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 send function is being invoked in ping mode, the process described above is followed; however, instead of manually building and transmitting the DNS query, the [System.Net.Dns]::GetHostAddresses method is .' [/INST] [If:O, the:O, send:O, function:O, is:O, being:O, invoked:O, in:O, ping:O, mode,:O, the:O, process:O, described:O, above:O, is:O, followed;:O, however,:O, instead:O, of:O, manually:O, building:O, and:O, transmitting:O, the:O, DNS:PROT, query,:O, the:O, [System.Net.Dns]::GetHostAddresses:O, method:O, is:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 that method, the malware’s query will traverse the native DNS architecture as opposed to the victim making a direct connection to the .' [/INST] [With:O, that:O, method,:O, the:O, malware’s:O, query:O, will:O, traverse:O, the:O, native:O, DNS:PROT, architecture:O, as:O, opposed:O, to:O, the:O, victim:O, making:O, a:O, direct:O, connection:O, to:O, the:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 send function uses several counters to maintain various pieces of information used to control the flow of .' [/INST] [The:O, send:O, function:O, uses:O, several:O, counters:O, to:O, maintain:O, various:O, pieces:O, of:O, information:O, used:O, to:O, control:O, the:O, flow:O, of:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'An exception counter is used to track the number of exceptions and will exit the send loop if a threshold is .' [/INST] [An:O, exception:O, counter:O, is:O, used:O, to:O, track:O, the:O, number:O, of:O, exceptions:O, and:O, will:O, exit:O, the:O, send:O, loop:O, if:O, a:O, threshold:O, is:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 send counter is used to track the number of chunks sent to the .' [/INST] [The:O, send:O, counter:O, is:O, used:O, to:O, track:O, the:O, number:O, of:O, chunks:O, sent:O, to:O, the:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'An additional counter exists to handle cases where the file being sent is larger than 250 .' [/INST] [An:O, additional:O, counter:O, exists:O, to:O, handle:O, cases:O, where:O, the:O, file:O, being:O, sent:O, is:O, larger:O, than:O, 250:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 send counter is initialized to 0 and read from the fourth octet of the A record returned by the .' [/INST] [The:O, send:O, counter:O, is:O, initialized:O, to:O, 0:O, and:O, read:O, from:O, the:O, fourth:O, octet:O, of:O, the:O, A:O, record:O, returned:O, by:O, the:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 send counter is also passed to the AdrGen function as the part number parameter and is visible in the query string as depicted below: Query: 239e965ec000a60000B6C90T.COCTab33333233332222222222222222210100A3280AAAAAAAAAAAAAAAAA.33333210100A.sample-domain.evil , Response: 39.2.3.1 , Query: 230019e965eca60000A16DC20T.EBB466767667256666772556776662FBFD932F3F64079E4F730B65239FE0.33333210100A.sample-domain.evil , Response: 39.2.3.2 , Query: 392e002965eca60000C6D18C42T.33232333332333500262233332466710E0E18362E239DDA839020190D932.33333210100A.sample-domain.evil .' [/INST] [The:O, send:O, counter:O, is:O, also:O, passed:O, to:O, the:O, AdrGen:S-MAL, function:O, as:O, the:O, part:O, number:O, parameter:O, and:O, is:O, visible:O, in:O, the:O, query:O, string:O, as:O, depicted:O, below::O, Query::O, 239e965ec000a60000B6C90T.COCTab33333233332222222222222222210100A3280AAAAAAAAAAAAAAAAA.33333210100A.sample-domain.evil:S-FILE, ,:O, Response::O, 39.2.3.1:S-IP, ,:O, Query::O, 230019e965eca60000A16DC20T.EBB466767667256666772556776662FBFD932F3F64079E4F730B65239FE0.33333210100A.sample-domain.evil:S-FILE, ,:O, Response::O, 39.2.3.2:S-IP, ,:O, Query::O, 392e002965eca60000C6D18C42T.33232333332333500262233332466710E0E18362E239DDA839020190D932.33333210100A.sample-domain.evil:S-FILE, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the send loop has fewer than 60 bytes to send (e.g., a small file or the last part of a file), the send function transmits the remaining bytes with a shorter data .' [/INST] [When:O, the:O, send:O, loop:O, has:O, fewer:O, than:O, 60:O, bytes:O, to:O, send:O, (e.g.,:O, a:O, small:O, file:O, or:O, the:O, last:O, part:O, of:O, a:O, file),:O, the:O, send:O, function:O, transmits:O, the:O, remaining:O, bytes:O, with:O, a:O, shorter:O, data:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When there are no more bytes to send, a hardcoded file end marker COCTabCOCT is sent in the data section and the send loop will be .' [/INST] [When:O, there:O, are:O, no:O, more:O, bytes:O, to:O, send,:O, a:O, hardcoded:O, file:O, end:O, marker:O, COCTabCOCT:O, is:O, sent:O, in:O, the:O, data:O, section:O, and:O, the:O, send:O, loop:O, will:O, be:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 controller responds with the 253.25.42.87 A record .' [/INST] [The:O, controller:O, responds:O, with:O, the:O, 253.25.42.87:S-IP, A:O, record:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Query: 239055e965eca60000CC30T.66654667676673003300C93CC92212953EDACEDA.33333210100A.sample-domain.evil , Response: 39.2.3.56 , Query: 05639e9652eca6000057C06T.COCTabCOCT33333210100A.sample-domain.evil , Response: 253.25.42.87 .' [/INST] [Query::O, 239055e965eca60000CC30T.66654667676673003300C93CC92212953EDACEDA.33333210100A.sample-domain.evil:S-FILE, ,:O, Response::O, 39.2.3.56:S-IP, ,:O, Query::O, 05639e9652eca6000057C06T.COCTabCOCT33333210100A.sample-domain.evil:S-FILE, ,:O, Response::O, 253.25.42.87:S-IP, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 an A record response is received by the malware containing 253.25.42.87 , several variables are set in preparation to exit the send .' [/INST] [Once:O, an:O, A:O, record:O, response:O, is:O, received:O, by:O, the:O, malware:O, containing:O, 253.25.42.87:S-IP, ,:O, several:O, variables:O, are:O, set:O, in:O, preparation:O, to:O, exit:O, the:O, send:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 send operation is complete, the lock file for the current run is deleted and the script .' [/INST] [After:O, the:O, send:O, operation:O, is:O, complete,:O, the:O, lock:O, file:O, for:O, the:O, current:O, run:O, is:O, deleted:O, and:O, the:O, script:O, .:O] </s>

<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Many of the capabilities discovered in Glimpse were also present in the malware analyzed in part one of this .' [/INST] [Many:O, of:O, the:O, capabilities:O, discovered:O, in:O, Glimpse:S-MAL, were:O, also:O, present:O, in:O, the:O, malware:O, analyzed:O, in:O, part:O, one:O, of:O, this:O, .:O] </s>