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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: 'The second file , happiness.txt , contains custom code in binary format that is encrypted and used by xxxx.exe .' [/INST] [The:O, second:O, file:O, ,:O, happiness.txt:S-FILE, ,:O, contains:O, custom:O, code:O, in:O, binary:O, format:O, that:O, is:O, encrypted:O, and:O, used:O, by:O, xxxx.exe: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 xxxx.exe file copies happiness.txt to C:\PROGRAM FILES\common files\ODBC\ODUBC.DLL and to C:\WINDOWS\system32\jql.sys .' [/INST] [The:O, xxxx.exe:S-FILE, file:O, copies:O, happiness.txt:S-FILE, to:O, C:\PROGRAM:B-FILE, FILES\common:I-FILE, files\ODBC\ODUBC.DLL:E-FILE, and:O, to:O, C:\WINDOWS\system32\jql.sys: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: 'It then loads the contents of the encrypted file and injects it into the explorer.exe and iexplore.exe processes .' [/INST] [It:O, then:O, loads:O, the:O, contents:O, of:O, the:O, encrypted:O, file:O, and:O, injects:O, it:O, into:O, the:O, explorer.exe:S-FILE, and:O, iexplore.exe:S-FILE, processes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 injected code copies xxxx.exe to %System%\winsys.exe and connects to the Command and Control ( C&C ) server on TCP port 80 .' [/INST] [The:O, injected:O, code:O, copies:O, xxxx.exe:S-FILE, to:O, %System%\winsys.exe:S-FILE, and:O, connects:O, to:O, the:O, Command:B-TOOL, and:I-TOOL, Control:E-TOOL, (:O, C&C:S-TOOL, ):O, server:O, on:O, TCP:S-PROT, port:O, 80:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 communication with the server is a handshake using an encryption algorithm ( Camellia ) .' [/INST] [The:O, communication:O, with:O, the:O, server:O, is:O, a:O, handshake:O, using:O, an:O, encryption:O, algorithm:O, (:O, Camellia:S-ENCR, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once the Trojan establishes the server ’s authenticity , it expects a variable-size block of binary code that is read from the server straight into the virtual space for iexplore.exe and then executed .' [/INST] [Once:O, the:O, Trojan:S-MAL, establishes:O, the:O, server:O, ’s:O, authenticity:O, ,:O, it:O, expects:O, a:O, variable-size:O, block:O, of:O, binary:O, code:O, that:O, is:O, read:O, from:O, the:O, server:O, straight:O, into:O, the:O, virtual:O, space:O, for:O, iexplore.exe:S-FILE, and:O, then:O, executed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 executed , the Poison Ivy threat , or Backdoor.Odivy , connects to a command and control ( C&C ) server over TCP port 80 .' [/INST] [When:O, executed:O, ,:O, the:O, Poison:B-MAL, Ivy:E-MAL, threat:O, ,:O, or:O, Backdoor.Odivy:S-FILE, ,:O, connects:O, to:O, a:O, command:B-TOOL, and:I-TOOL, control:E-TOOL, (:O, C&C:S-TOOL, ):O, server:O, over:O, TCP:S-PROT, port:O, 80:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 number of different C&C domains and IP addresses were identified .' [/INST] [A:O, number:O, of:O, different:O, C&C:S-TOOL, domains:O, and:O, IP:O, addresses:O, were:O, identified:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 majority of samples connect to a domain ; however one subset of samples connected directly to the IP address 204.74.215.58 , which belonged to the Chinese QQ user mentioned previously and was also associated with antivirus-groups.com . .' [/INST] [The:O, majority:O, of:O, samples:O, connect:O, to:O, a:O, domain:O, ;:O, however:O, one:O, subset:O, of:O, samples:O, connected:O, directly:O, to:O, the:O, IP:O, address:O, 204.74.215.58:S-IP, ,:O, which:O, belonged:O, to:O, the:O, Chinese:O, QQ:S-TOOL, user:O, mentioned:O, previously:O, and:O, was:O, also:O, associated:O, with:O, antivirus-groups.com:S-DOM, .:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'org : 173.252.207.71 , 173.252.205.36 , 173.252.205.37 , 173.252.205.64 . antivirus-groups.com : 74.82.166.205 , 204.74.215.58 . domain.rm6.org : 216.131.95.22 , 222.255.28.27 . anti-virus.sytes.net : 173.252.205.36 , 173.252.205.37 , 173.252.205.64 .' [/INST] [org:S-DOM, ::O, 173.252.207.71:S-IP, ,:O, 173.252.205.36:S-IP, ,:O, 173.252.205.37:S-IP, ,:O, 173.252.205.64:S-IP, .:O, antivirus-groups.com:S-DOM, ::O, 74.82.166.205:S-IP, ,:O, 204.74.215.58:S-IP, .:O, domain.rm6.org:S-DOM, ::O, 216.131.95.22:S-IP, ,:O, 222.255.28.27:S-IP, .:O, anti-virus.sytes.net:S-DOM, ::O, 173.252.205.36:S-IP, ,:O, 173.252.205.37:S-IP, ,:O, 173.252.205.64: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: 'Several other hacker groups have also begun targeting some of the same chemical companies in this time period .' [/INST] [Several:O, other:O, hacker:O, groups:O, have:O, also:O, begun:O, targeting:O, some:O, of:O, the:O, same:O, chemical:O, companies:O, in:O, this:O, time:O, period:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attackers are sending malicious PDF and DOC files , which use exploits to drop variants of Backdoor.Sogu .' [/INST] [Attackers:O, are:O, sending:O, malicious:O, PDF:S-TOOL, and:O, DOC:S-TOOL, files:O, ,:O, which:O, use:O, exploits:O, to:O, drop:O, variants:O, of:O, Backdoor.Sogu: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: 'This particular threat was also used by hackers to compromise a Korean social network site to steal records of 35 million users .' [/INST] [This:O, particular:O, threat:O, was:O, also:O, used:O, by:O, hackers:O, to:O, compromise:O, a:O, Korean:O, social:O, network:O, site:O, to:O, steal:O, records:O, of:O, 35: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: 'Determining if the two groups are related is difficult , but any relationship appears unlikely .' [/INST] [Determining:O, if:O, the:O, two:O, groups:O, are:O, related:O, is:O, difficult:O, ,:O, but:O, any:O, relationship:O, appears:O, unlikely:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 described in this document use a very basic delivery platform ; compressed self-extracting archives sometimes sent to a large number of recipients .' [/INST] [The:O, attackers:O, described:O, in:O, this:O, document:O, use:O, a:O, very:O, basic:O, delivery:O, platform:O, ;:O, compressed:O, self-extracting:O, archives:O, sometimes:O, sent:O, to:O, a:O, large:O, number:O, of:O, recipients:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Sogu gang , in contrast , use PDF and DOC files in very tailored , targeted emails .' [/INST] [The:O, Sogu:S-IDTY, gang:O, ,:O, in:O, contrast:O, ,:O, use:O, PDF:S-TOOL, and:O, DOC:S-TOOL, files:O, in:O, very:O, tailored:O, ,:O, targeted:O, emails:S-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: 'The Sogu gang use a custom developed threat – Backdoor.Sogu , whereas the group described in this document use an off the shelf threat – Poison Ivy .' [/INST] [The:O, Sogu:S-IDTY, gang:O, use:O, a:O, custom:O, developed:O, threat:O, –:O, Backdoor.Sogu:S-FILE, ,:O, whereas:O, the:O, group:O, described:O, in:O, this:O, document:O, use:O, an:O, off:O, the:O, shelf:O, threat:O, –:O, Poison:B-MAL, Ivy:E-MAL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 number of Sogu targets is currently small relative to the Poison Ivy attacks , we continue to monitor their activities .' [/INST] [While:O, the:O, number:O, of:O, Sogu:S-IDTY, targets:O, is:O, currently:O, small:O, relative:O, to:O, the:O, Poison:B-MAL, Ivy:E-MAL, attacks:O, ,:O, we:O, continue:O, to:O, monitor:O, their: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: 'Numerous targeted attack campaigns are occurring every week .' [/INST] [Numerous:O, targeted:O, attack:O, campaigns:O, are:O, occurring:O, every:O, week:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , relative to the total number of attacks , few are fully disclosed .' [/INST] [However:O, ,:O, relative:O, to:O, the:O, total:O, number:O, of:O, attacks:O, ,:O, few:O, are:O, fully:O, disclosed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 primarily targeting private industry in search of key intellectual property for competitive advantage , military institutions , and governmental organizations often in search of documents related to current political events and human rights organizations .' [/INST] [These:O, attacks:O, are:O, primarily:O, targeting:O, private:O, industry:O, in:O, search:O, of:O, key:O, intellectual:O, property:O, for:O, competitive:O, advantage:O, ,:O, military:O, institutions:O, ,:O, and:O, governmental:O, organizations:O, often:O, in:O, search:O, of:O, documents:O, related:O, to:O, current:O, political:O, events:O, and:O, human:O, rights:O, 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: 'This attack campaign focused on the chemical sector with the goal of obtaining sensitive documents such as proprietary designs , formulas , and manufacturing processes .' [/INST] [This:O, attack:O, campaign:O, focused:O, on:O, the:O, chemical:O, sector:O, with:O, the:O, goal:O, of:O, obtaining:O, sensitive:O, documents:O, such:O, as:O, proprietary:O, designs:O, ,:O, formulas:O, ,:O, and:O, manufacturing:O, processes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Outlaw Updates Kit to Kill Older Miner Versions , Targets More Systems .' [/INST] [Outlaw:S-APT, Updates:O, Kit:O, to:O, Kill:O, Older:O, Miner:O, Versions:O, ,:O, Targets:O, More:O, Systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 we ’ve observed with cybercriminal groups that aim to maximize profits for every campaign , silence doesn’t necessarily mean inactivity .' [/INST] [As:O, we:O, ’ve:O, observed:O, with:O, cybercriminal:O, groups:O, that:O, aim:O, to:O, maximize:O, profits:O, for:O, every:O, campaign:O, ,:O, silence:O, doesn’t:O, necessarily:O, mean:O, inactivity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 appears hacking group Outlaw , which has been silent for the past few months , was simply developing their toolkit for illicit income sources .' [/INST] [It:O, appears:O, hacking:O, group:O, Outlaw:S-APT, ,:O, which:O, has:O, been:O, silent:O, for:O, the:O, past:O, few:O, months:O, ,:O, was:O, simply:O, developing:O, their:O, toolkit:O, for:O, illicit:O, income:O, sources:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While they have been quiet since our June analysis , we observed an increase in the group ’s activities in December , with updates on the kits ’ capabilities reminiscent of their previous attacks .' [/INST] [While:O, they:O, have:O, been:O, quiet:O, since:O, our:O, June:S-TIME, analysis:O, ,:O, we:O, observed:O, an:O, increase:O, in:O, the:O, group:O, ’s:O, activities:O, in:O, December:S-TIME, ,:O, with:O, updates:O, on:O, the:O, kits:O, ’:O, capabilities:O, reminiscent:O, of:O, their:O, previous:O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The updates expanded scanner parameters and targets , looped execution of files via error messages , improved evasion techniques for scanning activities , and improved mining profits by killing off both the competition and their own previous miners .' [/INST] [The:O, updates:O, expanded:O, scanner:O, parameters:O, and:O, targets:O, ,:O, looped:O, execution:O, of:O, files:O, via:O, error:O, messages:O, ,:O, improved:O, evasion:O, techniques:O, for:O, scanning:O, activities:O, ,:O, and:O, improved:O, mining:O, profits:O, by:O, killing:O, off:O, both:O, the:O, competition:O, and:O, their:O, own:O, previous:O, miners:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We analyzed the kits , which were designed to steal information from the automotive and finance industries , launch subsequent attacks on already compromised systems , and ( possibly ) sell stolen information .' [/INST] [We:O, analyzed:O, the:O, kits:O, ,:O, which:O, were:O, designed:O, to:O, steal:O, information:O, from:O, the:O, automotive:O, and:O, finance:O, industries:O, ,:O, launch:O, subsequent:O, attacks:O, on:O, already:O, compromised:O, systems:O, ,:O, and:O, (:O, possibly:O, ):O, sell:O, stolen:O, information:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Comparing this development to their previous attacks , we think Outlaw may be aiming to go after enterprises that have yet to update their systems , assessing security and changes with their previously infected hosts , finding new and old targets , and possibly testing their updates in the wild .' [/INST] [Comparing:O, this:O, development:O, to:O, their:O, previous:O, attacks:O, ,:O, we:O, think:O, Outlaw:S-APT, may:O, be:O, aiming:O, to:O, go:O, after:O, enterprises:O, that:O, have:O, yet:O, to:O, update:O, their:O, systems:O, ,:O, assessing:O, security:O, and:O, changes:O, with:O, their:O, previously:O, infected:O, hosts:O, ,:O, finding:O, new:O, and:O, old:O, targets:O, ,:O, and:O, possibly:O, testing:O, their:O, updates:O, in:O, the:O, wild:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We will continue to observe the group ’s activities as they target industries from the United States and Europe .' [/INST] [We:O, will:O, continue:O, to:O, observe:O, the:O, group:O, ’s:O, activities:O, as:O, they:O, target:O, industries:O, from:O, the:O, United:B-LOC, States:E-LOC, and:O, Europe: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: 'Based on the samples we collected and traced to 456 distinct IPs , we expect the group to be more active in the coming months as we observed changes on the versions we acquired .' [/INST] [Based:O, on:O, the:O, samples:O, we:O, collected:O, and:O, traced:O, to:O, 456:O, distinct:O, IPs:O, ,:O, we:O, expect:O, the:O, group:O, to:O, be:O, more:O, active:O, in:O, the:O, coming:O, months:O, as:O, we:O, observed:O, changes:O, on:O, the:O, versions:O, we:O, acquired:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 new samples targeted Linux- and Unix-based operating systems , vulnerable servers , and internet of things ( IoT ) devices by exploiting known vulnerabilities with available exploits .' [/INST] [These:O, new:O, samples:O, targeted:O, Linux-:S-OS, and:O, Unix-based:S-OS, operating:O, systems:O, ,:O, vulnerable:O, servers:O, ,:O, and:O, internet:O, of:O, things:O, (:O, IoT:O, ):O, devices:O, by:O, exploiting:O, known:O, vulnerabilities:O, with:O, available:O, exploits:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 time , the group explored unpatched systems vulnerable to CVE-2016-8655 and Dirty COW exploit ( CVE-2016-5195 ) as attack vectors .' [/INST] [This:O, time:O, ,:O, the:O, group:O, explored:O, unpatched:O, systems:O, vulnerable:O, to:O, CVE-2016-8655:S-VULID, and:O, Dirty:B-VULNAME, COW:E-VULNAME, exploit:O, (:O, CVE-2016-5195:S-VULID, ):O, as:O, attack:O, vectors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Files using simple PHP-based web shells were also used to attack systems with weak SSH and Telnet credentials .' [/INST] [Files:O, using:O, simple:O, PHP-based:S-TOOL, web:O, shells:O, were:O, also:O, used:O, to:O, attack:O, systems:O, with:O, weak:O, SSH:S-PROT, and:O, Telnet:S-PROT, credentials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 no phishing- or social engineering-initiated routines were observed in this campaign , we found multiple attacks over the network that are considered “ loud. ” These involved large-scale scanning operations of IP ranges intentionally launched from the command and control ( C&C ) server .' [/INST] [While:O, no:O, phishing-:O, or:O, social:O, engineering-initiated:O, routines:O, were:O, observed:O, in:O, this:O, campaign:O, ,:O, we:O, found:O, multiple:O, attacks:O, over:O, the:O, network:O, that:O, are:O, considered:O, “:O, loud.:O, ”:O, These:O, involved:O, large-scale:O, scanning:O, operations:O, of:O, IP:O, ranges:O, intentionally:O, launched:O, from:O, the:O, command:B-TOOL, and:I-TOOL, control:E-TOOL, (:O, C&C:S-TOOL, ):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 honeynet graphs , which show activity peaks associated with specific actions , also suggest that the scans were timed .' [/INST] [The:O, honeynet:O, graphs:O, ,:O, which:O, show:O, activity:O, peaks:O, associated:O, with:O, specific:O, actions:O, ,:O, also:O, suggest:O, that:O, the:O, scans:O, were:O, timed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the sample we analyzed , attacks started from one virtual private server ( VPS ) that searches for a vulnerable machine to compromise ( previous techniques used malicious URLs or infecting legitimate websites for bot propagation ) .' [/INST] [From:O, the:O, sample:O, we:O, analyzed:O, ,:O, attacks:O, started:O, from:O, one:O, virtual:B-TOOL, private:I-TOOL, server:E-TOOL, (:O, VPS:S-TOOL, ):O, that:O, searches:O, for:O, a:O, vulnerable:O, machine:O, to:O, compromise:O, (:O, previous:O, techniques:O, used:O, malicious:O, URLs:O, or:O, infecting:O, legitimate:O, websites:O, for:O, bot:O, propagation: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 infected , the C&C commands for the infected system launches a loud scanning activity and spreads the botnet by sending a “ whole kit ” of binary files at once with naming conventions same as the ones already in the targeted host , likely banking on breaking through via “ security through obscurity. ” They attempted to evade traffic inspection by encoding the code for the scanner with base-64 .' [/INST] [Once:O, infected:O, ,:O, the:O, C&C:S-TOOL, commands:O, for:O, the:O, infected:O, system:O, launches:O, a:O, loud:O, scanning:O, activity:O, and:O, spreads:O, the:O, botnet:O, by:O, sending:O, a:O, “:O, whole:O, kit:O, ”:O, of:O, binary:O, files:O, at:O, once:O, with:O, naming:O, conventions:O, same:O, as:O, the:O, ones:O, already:O, in:O, the:O, targeted:O, host:O, ,:O, likely:O, banking:O, on:O, breaking:O, through:O, via:O, “:O, security:O, through:O, obscurity.:O, ”:O, They:O, attempted:O, to:O, evade:O, traffic:O, inspection:O, by:O, encoding:O, the:O, code:O, for:O, the:O, scanner:O, with:O, base-64: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: 'The zombie host initiates the scan — another routine from previous campaigns — but updated with a larger set of parameters and programmed to run in the background .' [/INST] [The:O, zombie:O, host:O, initiates:O, the:O, scan:O, —:O, another:O, routine:O, from:O, previous:O, campaigns:O, —:O, but:O, updated:O, with:O, a:O, larger:O, set:O, of:O, parameters:O, and:O, programmed:O, to:O, run:O, in:O, the:O, background:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The kit we found is in tgz format , though we have observed some samples disguised as png or jpg .' [/INST] [The:O, kit:O, we:O, found:O, is:O, in:O, tgz:S-TOOL, format:O, ,:O, though:O, we:O, have:O, observed:O, some:O, samples:O, disguised:O, as:O, png:S-TOOL, or:O, jpg:S-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: 'While previous routines took advantage of competing miners ’ activities and unrelated components to hijack the profit , the latest version of the code attempts to remove all related files and codes from previous infections ( including their own to make sure the running components are updated , as well as those from other cybercriminals to maximize the resources of the zombie host ) and creates a new working directory /tmp/.X19-unix to move the kit and extract the files .' [/INST] [While:O, previous:O, routines:O, took:O, advantage:O, of:O, competing:O, miners:O, ’:O, activities:O, and:O, unrelated:O, components:O, to:O, hijack:O, the:O, profit:O, ,:O, the:O, latest:O, version:O, of:O, the:O, code:O, attempts:O, to:O, remove:O, all:O, related:O, files:O, and:O, codes:O, from:O, previous:O, infections:O, (:O, including:O, their:O, own:O, to:O, make:O, sure:O, the:O, running:O, components:O, are:O, updated:O, ,:O, as:O, well:O, as:O, those:O, from:O, other:O, cybercriminals:O, to:O, maximize:O, the:O, resources:O, of:O, the:O, zombie:O, host:O, ):O, and:O, creates:O, a:O, new:O, working:O, directory:O, /tmp/.X19-unix:O, to:O, move:O, the:O, kit:O, and:O, extract:O, the:O, files:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 tsm binary then runs in the background , forwarding a series of error messages to /dev/null to keep the code running , ensuring the continuous execution of the code referenced with a set of parameters /tmp/up.txt .' [/INST] [The:O, tsm:O, binary:O, then:O, runs:O, in:O, the:O, background:O, ,:O, forwarding:O, a:O, series:O, of:O, error:O, messages:O, to:O, /dev/null:O, to:O, keep:O, the:O, code:O, running:O, ,:O, ensuring:O, the:O, continuous:O, execution:O, of:O, the:O, code:O, referenced:O, with:O, a:O, set:O, of:O, parameters:O, /tmp/up.txt: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 script then waits 20 minutes before it runs the wrapper script initall :' [/INST] [The:O, script:O, then:O, waits:O, 20:O, minutes:O, before:O, it:O, runs:O, the:O, wrapper:O, script:O, initall:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '2e2c9d08c7c955f6ce5e27e70b0ec78a888c276d71a72daa0ef9e3e40f019a1a' [/INST] [2e2c9d08c7c955f6ce5e27e70b0ec78a888c276d71a72daa0ef9e3e40f019a1a:S-SHA2] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'initall .' [/INST] [initall:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Another variant executes a set of commands once a system is successfully compromised .' [/INST] [Another:O, variant:O, executes:O, a:O, set:O, of:O, commands:O, once:O, a:O, system:O, is:O, successfully:O, compromised:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Most of these commands are related to gathering information from the infected machine ( number of CPU cores , users , scheduled tasks , running processes , OS installed , and CPU and memory information ) via the dota3 payload , as well as changing the password to a random string also stored in /tmp/up.txt .' [/INST] [Most:O, of:O, these:O, commands:O, are:O, related:O, to:O, gathering:O, information:O, from:O, the:O, infected:O, machine:O, (:O, number:O, of:O, CPU:S-TOOL, cores:O, ,:O, users:O, ,:O, scheduled:O, tasks:O, ,:O, running:O, processes:O, ,:O, OS:O, installed:O, ,:O, and:O, CPU:S-TOOL, and:O, memory:O, information:O, ):O, via:O, the:O, dota3:S-TOOL, payload:O, ,:O, as:O, well:O, as:O, changing:O, the:O, password:O, to:O, a:O, random:O, string:O, also:O, stored:O, in:O, /tmp/up.txt: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: 'In a previous execution ( published in June 2019 ) , we observed that dota2 had its own folder but it was hardly executed .' [/INST] [In:O, a:O, previous:O, execution:O, (:O, published:O, in:O, June:B-TIME, 2019:E-TIME, ):O, ,:O, we:O, observed:O, that:O, dota2:S-TOOL, had:O, its:O, own:O, folder:O, but:O, it:O, was:O, hardly:O, executed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Running the script removes the remaining files and scripts from previous attacks , keeping a low profile to evade detection .' [/INST] [Running:O, the:O, script:O, removes:O, the:O, remaining:O, files:O, and:O, scripts:O, from:O, previous:O, attacks:O, ,:O, keeping:O, a:O, low:O, profile:O, to:O, evade:O, detection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the system has been previously infected with a cryptominer , it also attempts to kill the running miner and all its related activities .' [/INST] [If:O, the:O, system:O, has:O, been:O, previously:O, infected:O, with:O, a:O, cryptominer:O, ,:O, it:O, also:O, attempts:O, to:O, kill:O, the:O, running:O, miner:O, and:O, all:O, its:O, related: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: 'Based on a bashtemp directory of the latest sample we found , there are other compiled ELF scripts , named init and init2 , that loops the kit to keep running :' [/INST] [Based:O, on:O, a:O, bashtemp:O, directory:O, of:O, the:O, latest:O, sample:O, we:O, found:O, ,:O, there:O, are:O, other:O, compiled:O, ELF:S-TOOL, scripts:O, ,:O, named:O, init:O, and:O, init2:O, ,:O, that:O, loops:O, the:O, kit:O, to:O, keep:O, running:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '0c458dfe0a2a01ab300c857fdc3373b75fbb8ccfa23d16eff0d6ab888a1a28f6' [/INST] [0c458dfe0a2a01ab300c857fdc3373b75fbb8ccfa23d16eff0d6ab888a1a28f6:S-SHA2] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'init . 93ce211a71867017723cd78969aa4cac9d21c3d8f72c96ee3e1b2712c0eea494' [/INST] [init:O, .:O, 93ce211a71867017723cd78969aa4cac9d21c3d8f72c96ee3e1b2712c0eea494:S-SHA2] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'init2 .' [/INST] [init2:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Both init and init2 scripts make sure all other running mining services are killed , and that all the files in the working directory are executed by giving 777 permissions .' [/INST] [Both:O, init:O, and:O, init2:O, scripts:O, make:O, sure:O, all:O, other:O, running:O, mining:O, services:O, are:O, killed:O, ,:O, and:O, that:O, all:O, the:O, files:O, in:O, the:O, working:O, directory:O, are:O, executed:O, by:O, giving:O, 777:O, permissions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We also found the init0 script running ; the script cleans out all miners regardless of its origin .' [/INST] [We:O, also:O, found:O, the:O, init0:O, script:O, running:O, ;:O, the:O, script:O, cleans:O, out:O, all:O, miners:O, regardless:O, of:O, its:O, origin:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 then resets cron and removes possible cache files from other programs , starts scripts and binaries a , init0 , and start , and sets the persistence by modifying the crontab .' [/INST] [It:O, then:O, resets:O, cron:O, and:O, removes:O, possible:O, cache:O, files:O, from:O, other:O, programs:O, ,:O, starts:O, scripts:O, and:O, binaries:O, a:O, ,:O, init0:O, ,:O, and:O, start:O, ,:O, and:O, sets:O, the:O, persistence:O, by:O, modifying:O, the:O, crontab:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 a binary is a script wrapper to start run , a Perl-obfuscated script for installation of a Shellbot to gain control of the infected system .' [/INST] [The:O, a:O, binary:O, is:O, a:O, script:O, wrapper:O, to:O, start:O, run:O, ,:O, a:O, Perl-obfuscated:S-TOOL, script:O, for:O, installation:O, of:O, a:O, Shellbot:S-MAL, to:O, gain:O, control:O, of:O, the:O, infected:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Shellbot disguises itself as a process named rsync , commonly the binary seen on many Unix- and Linux-based systems to automatically run for backup and synchronization .' [/INST] [The:O, Shellbot:S-MAL, disguises:O, itself:O, as:O, a:O, process:O, named:O, rsync:O, ,:O, commonly:O, the:O, binary:O, seen:O, on:O, many:O, Unix-:S-OS, and:O, Linux-based:S-OS, systems:O, to:O, automatically:O, run:O, for:O, backup:O, and:O, synchronization:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 allows the malicious activity to evade detection .' [/INST] [This:O, allows:O, the:O, malicious:O, activity:O, to:O, evade:O, detection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Shellbot script is added to run after the victim ’s system reboots , and scripts /a/upd , /b/sync/ , and /c/aptitude/ are added to the crontab .' [/INST] [The:O, Shellbot:S-MAL, script:O, is:O, added:O, to:O, run:O, after:O, the:O, victim:O, ’s:O, system:O, reboots:O, ,:O, and:O, scripts:O, /a/upd:O, ,:O, /b/sync/:O, ,:O, and:O, /c/aptitude/:O, are:O, added:O, to:O, the:O, crontab:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , while we observed the presence of the codes , the functions of upd , sync and aptitude were disabled in the kits ’ latest version .' [/INST] [However:O, ,:O, while:O, we:O, observed:O, the:O, presence:O, of:O, the:O, codes:O, ,:O, the:O, functions:O, of:O, upd:O, ,:O, sync:O, and:O, aptitude:O, were:O, disabled:O, in:O, the:O, kits:O, ’:O, latest:O, version:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'It remains unclear whether these are leftover code from the previous versions or their particular purposes were served .' [/INST] [It:O, remains:O, unclear:O, whether:O, these:O, are:O, leftover:O, code:O, from:O, the:O, previous:O, versions:O, or:O, their:O, particular:O, purposes:O, were:O, served:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Shellbot is also used to control the botnet , with a command that is sent and run from the C&C to determine if there is a code execution in the shell , the hostname , and its architecture .' [/INST] [Shellbot:S-MAL, is:O, also:O, used:O, to:O, control:O, the:O, botnet:O, ,:O, with:O, a:O, command:O, that:O, is:O, sent:O, and:O, run:O, from:O, the:O, C&C:S-TOOL, to:O, determine:O, if:O, there:O, is:O, a:O, code:O, execution:O, in:O, the:O, shell:O, ,:O, the:O, hostname:O, ,:O, and:O, its:O, architecture:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'All results and system information collected from the infected system are stored locally in the device for a period before Outlaw retrieves them via the C&C .' [/INST] [All:O, results:O, and:O, system:O, information:O, collected:O, from:O, the:O, infected:O, system:O, are:O, stored:O, locally:O, in:O, the:O, device:O, for:O, a:O, period:O, before:O, Outlaw:S-APT, retrieves:O, them:O, via:O, the:O, C&C:S-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: 'Since discovering the operations of this group in 2018 , Outlaw continues to use scripts , codes , and commands that have been previously used and deployed .' [/INST] [Since:O, discovering:O, the:O, operations:O, of:O, this:O, group:O, in:O, 2018:S-TIME, ,:O, Outlaw:S-APT, continues:O, to:O, use:O, scripts:O, ,:O, codes:O, ,:O, and:O, commands:O, that:O, have:O, been:O, previously:O, used:O, and:O, deployed:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 routines are indicative of the group ’s aim to get quantitative returns through varied cybercriminal profit streams .' [/INST] [These:O, routines:O, are:O, indicative:O, of:O, the:O, group:O, ’s:O, aim:O, to:O, get:O, quantitative:O, returns:O, through:O, varied:O, cybercriminal:O, profit:O, streams:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 also reinforced by their naming conventions , wherein different versions are simply named after the code iterations , following a specific format regardless of the actual function of the code .' [/INST] [This:O, was:O, also:O, reinforced:O, by:O, their:O, naming:O, conventions:O, ,:O, wherein:O, different:O, versions:O, are:O, simply:O, named:O, after:O, the:O, code:O, iterations:O, ,:O, following:O, a:O, specific:O, format:O, regardless:O, of:O, the:O, actual:O, function:O, of:O, the: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: 'Trojan.SH.MALXMR.UWEJP : 1800de5f0fb7c5ef3c0d9787260ed61bc324d861bc92d9673d4737d1421972aa .' [/INST] [Trojan.SH.MALXMR.UWEJP:S-MAL, ::O, 1800de5f0fb7c5ef3c0d9787260ed61bc324d861bc92d9673d4737d1421972aa: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: 'Backdoor.SH.SHELLBOT.AA : b68bd3a54622792200b931ee5eebf860acf8b24f4b338b5080193573a81c747d .' [/INST] [Backdoor.SH.SHELLBOT.AA:S-MAL, ::O, b68bd3a54622792200b931ee5eebf860acf8b24f4b338b5080193573a81c747d: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: 'Trojan.Linux.SSHBRUTE.B : 620635aa9685249c87ead1bb0ad25b096714a0073cfd38a615c5eb63c3761976 .' [/INST] [Trojan.Linux.SSHBRUTE.B:S-MAL, ::O, 620635aa9685249c87ead1bb0ad25b096714a0073cfd38a615c5eb63c3761976: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: 'Coinminer.Linux.MALXMR.SMDSL32 : fc57bd66c27066104cd6f8962cd463a5dfc05fa59b76b6958cddd3542dfe6a9a .' [/INST] [Coinminer.Linux.MALXMR.SMDSL32:S-MAL, ::O, fc57bd66c27066104cd6f8962cd463a5dfc05fa59b76b6958cddd3542dfe6a9a: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: 'Coinminer.Linux.MALXMR.SMDSL64 : 649280bd4c5168009c1cff30e5e1628bcf300122b49d339e3ea3f3b6ff8f9a79 .' [/INST] [Coinminer.Linux.MALXMR.SMDSL64:S-MAL, ::O, 649280bd4c5168009c1cff30e5e1628bcf300122b49d339e3ea3f3b6ff8f9a79: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: 'Actors Still Exploiting SharePoint Vulnerability to Attack Middle East Government Organizations .' [/INST] [Actors:O, Still:O, Exploiting:O, SharePoint:S-TOOL, Vulnerability:O, to:O, Attack:O, Middle:B-LOC, East:E-LOC, Government:O, 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: 'On September 10 , 2019 , we observed unknown threat actors exploiting a vulnerability in SharePoint described in CVE-2019-0604 to install several webshells on the website of a Middle East government organization .' [/INST] [On:O, September:B-TIME, 10:I-TIME, ,:I-TIME, 2019:E-TIME, ,:O, we:O, observed:O, unknown:S-APT, threat:O, actors:O, exploiting:O, a:O, vulnerability:O, in:O, SharePoint:S-TOOL, described:O, in:O, CVE-2019-0604:S-VULID, to:O, install:O, several:O, webshells:O, on:O, the:O, website:O, of:O, a:O, Middle:B-LOC, East:E-LOC, government:O, organization:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One of these webshells is the open source AntSword webshell freely available on Github , which is remarkably similar to the infamous China Chopper webshell .' [/INST] [One:O, of:O, these:O, webshells:O, is:O, the:O, open:O, source:O, AntSword:S-TOOL, webshell:O, freely:O, available:O, on:O, Github:S-TOOL, ,:O, which:O, is:O, remarkably:O, similar:O, to:O, the:O, infamous:O, China:S-LOC, Chopper:S-TOOL, webshell:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On January 10 , 2020 , we used Shodan to search for Internet accessible servers running versions of SharePoint vulnerable to CVE-2019-0604 .' [/INST] [On:O, January:B-TIME, 10:I-TIME, ,:I-TIME, 2020:E-TIME, ,:O, we:O, used:O, Shodan:S-TOOL, to:O, search:O, for:O, Internet:O, accessible:O, servers:O, running:O, versions:O, of:O, SharePoint:S-TOOL, vulnerable:O, to:O, CVE-2019-0604:S-VULID, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 admittedly the version numbers provided by SharePoint within HTTP responses do not always provide the precise SharePoint version number , we decided to use it to check if it was less than the version numbers of the patched SharePoint versions from the Microsoft advisory .' [/INST] [While:O, admittedly:O, the:O, version:O, numbers:O, provided:O, by:O, SharePoint:S-TOOL, within:O, HTTP:S-PROT, responses:O, do:O, not:O, always:O, provide:O, the:O, precise:O, SharePoint:S-TOOL, version:O, number:O, ,:O, we:O, decided:O, to:O, use:O, it:O, to:O, check:O, if:O, it:O, was:O, less:O, than:O, the:O, version:O, numbers:O, of:O, the:O, patched:O, SharePoint:S-TOOL, versions:O, from:O, the:O, Microsoft:S-IDTY, advisory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We performed this comparison and found 28,881 servers that advertised a vulnerable version of SharePoint .' [/INST] [We:O, performed:O, this:O, comparison:O, and:O, found:O, 28,881:O, servers:O, that:O, advertised:O, a:O, vulnerable:O, version:O, of:O, SharePoint:S-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: 'We did not actively check each server to verify if they were indeed vulnerable , so it is possible that many of these public-facing SharePoint servers were not vulnerable or since patched .' [/INST] [We:O, did:O, not:O, actively:O, check:O, each:O, server:O, to:O, verify:O, if:O, they:O, were:O, indeed:O, vulnerable:O, ,:O, so:O, it:O, is:O, possible:O, that:O, many:O, of:O, these:O, public-facing:O, SharePoint:S-TOOL, servers:O, were:O, not:O, vulnerable:O, or:O, since:O, patched:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Regardless , the sheer number of servers and publicly available exploit code suggests that CVE-2019-0604 is still a major attack vector .' [/INST] [Regardless:O, ,:O, the:O, sheer:O, number:O, of:O, servers:O, and:O, publicly:O, available:O, exploit:O, code:O, suggests:O, that:O, CVE-2019-0604:S-VULID, is:O, still:O, a:O, major:O, attack:O, vector:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 this collection of webshells , the actors moved laterally to other systems on the network by dumping credentials with a variant of the notorious Mimikatz tool and using Impacket ’s atexec tool to use dumped credentials to run commands on other systems .' [/INST] [Using:O, this:O, collection:O, of:O, webshells:O, ,:O, the:O, actors:O, moved:O, laterally:O, to:O, other:O, systems:O, on:O, the:O, network:O, by:O, dumping:O, credentials:O, with:O, a:O, variant:O, of:O, the:O, notorious:O, Mimikatz:S-TOOL, tool:O, and:O, using:O, Impacket:S-TOOL, ’s:O, atexec:O, tool:O, to:O, use:O, dumped:O, credentials:O, to:O, run:O, commands:O, on:O, other:O, systems:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On September 19 , 2019 , we observed the same exact Mimikatz variant uploaded to a webshell hosted at another government organization in a second country in the Middle East .' [/INST] [On:O, September:B-TIME, 19:I-TIME, ,:I-TIME, 2019:E-TIME, ,:O, we:O, observed:O, the:O, same:O, exact:O, Mimikatz:S-TOOL, variant:O, uploaded:O, to:O, a:O, webshell:O, hosted:O, at:O, another:O, government:O, organization:O, in:O, a:O, second:O, country:O, in:O, the:O, Middle:B-LOC, East:E-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: 'The Mimikatz variant uploaded to these two organizations is unique , as it involves a seemingly custom loader application written in .NET .' [/INST] [The:O, Mimikatz:S-TOOL, variant:O, uploaded:O, to:O, these:O, two:O, organizations:O, is:O, unique:O, ,:O, as:O, it:O, involves:O, a:O, seemingly:O, custom:O, loader:O, application:O, written:O, in:O, .NET:S-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: 'Therefore , we believe that the same threat group is behind both intrusions .' [/INST] [Therefore:O, ,:O, we:O, believe:O, that:O, the:O, same:O, threat:O, group:O, is:O, behind:O, both:O, intrusions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Back in April 2019 , we first observed the Emissary Panda threat group exploiting CVE-2019-0604 to install webshells on SharePoint servers at government organizations in two Middle Eastern countries .' [/INST] [Back:O, in:O, April:B-TIME, 2019:E-TIME, ,:O, we:O, first:O, observed:O, the:O, Emissary:B-APT, Panda:E-APT, threat:O, group:O, exploiting:O, CVE-2019-0604:S-VULID, to:O, install:O, webshells:O, on:O, SharePoint:S-TOOL, servers:O, at:O, government:O, organizations:O, in:O, two:O, Middle:B-LOC, Eastern:E-LOC, countries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Fast forward five months to the current attacks and we see exploitation of the same vulnerability at government organizations in two different countries compared to the April attacks .' [/INST] [Fast:O, forward:O, five:O, months:O, to:O, the:O, current:O, attacks:O, and:O, we:O, see:O, exploitation:O, of:O, the:O, same:O, vulnerability:O, at:O, government:O, organizations:O, in:O, two:O, different:O, countries:O, compared:O, to:O, the:O, April:S-ACT, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We do not have any strong ties to connect the current attacks exploiting this vulnerability in SharePoint with the Emissary Panda attacks carried out in April .' [/INST] [We:O, do:O, not:O, have:O, any:O, strong:O, ties:O, to:O, connect:O, the:O, current:O, attacks:O, exploiting:O, this:O, vulnerability:O, in:O, SharePoint:S-TOOL, with:O, the:O, Emissary:B-APT, Panda:E-APT, attacks:O, carried:O, out:O, in:O, April:S-ACT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 overlaps between these two sets of attacks include exploitation of a common vulnerability , similar toolset and a shared government victimology , but no strong pivot points to connect these attack campaigns together .' [/INST] [The:O, overlaps:O, between:O, these:O, two:O, sets:O, of:O, attacks:O, include:O, exploitation:O, of:O, a:O, common:O, vulnerability:O, ,:O, similar:O, toolset:O, and:O, a:O, shared:O, government:O, victimology:O, ,:O, but:O, no:O, strong:O, pivot:O, points:O, to:O, connect:O, these:O, attack:O, campaigns:O, together:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 exploitation of this vulnerability is not unique to Emissary Panda , as multiple threat groups are using this vulnerability to exploit SharePoint servers to gain initial access to targeted networks .' [/INST] [The:O, exploitation:O, of:O, this:O, vulnerability:O, is:O, not:O, unique:O, to:O, Emissary:B-APT, Panda:E-APT, ,:O, as:O, multiple:O, threat:O, groups:O, are:O, using:O, this:O, vulnerability:O, to:O, exploit:O, SharePoint:S-TOOL, servers:O, to:O, gain:O, initial:O, access:O, to:O, targeted:O, networks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We would like to acknowledge the possibility of an overlap in the AntSword webshell , as we stated that Emissary Panda used China Chopper in the April attacks and AntSword and China Chopper webshells are incredibly similar .' [/INST] [We:O, would:O, like:O, to:O, acknowledge:O, the:O, possibility:O, of:O, an:O, overlap:O, in:O, the:O, AntSword:S-TOOL, webshell:O, ,:O, as:O, we:O, stated:O, that:O, Emissary:B-APT, Panda:E-APT, used:O, China:S-LOC, Chopper:S-TOOL, in:O, the:O, April:S-ACT, attacks:O, and:O, AntSword:S-TOOL, and:O, China:S-LOC, Chopper:S-TOOL, webshells:O, are:O, incredibly:O, similar:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , at this time we do not believe the April attacks used AntSword based on artifacts analyzed on the SharePoint server , specifically none of the IIS logs in the April attacks used the AntSword User-Agent in requests to the webshell that were observed in the current attacks .' [/INST] [However:O, ,:O, at:O, this:O, time:O, we:O, do:O, not:O, believe:O, the:O, April:S-ACT, attacks:O, used:O, AntSword:O, based:O, on:O, artifacts:O, analyzed:O, on:O, the:O, SharePoint:S-TOOL, server:O, ,:O, specifically:O, none:O, of:O, the:O, IIS:S-TOOL, logs:O, in:O, the:O, April:S-ACT, attacks:O, used:O, the:O, AntSword:S-TOOL, User-Agent:S-TOOL, in:O, requests:O, to:O, the:O, webshell:O, that:O, were:O, observed:O, in:O, the:O, current:O, attacks:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Palo Alto Networks customers are protected from the threat described in this blog through Threat Prevention signatures for the exploits and C2 traffic as well as through WildFire .' [/INST] [Palo:B-TOOL, Alto:I-TOOL, Networks:E-TOOL, customers:O, are:O, protected:O, from:O, the:O, threat:O, described:O, in:O, this:O, blog:O, through:O, Threat:O, Prevention:O, signatures:O, for:O, the:O, exploits:O, and:O, C2:S-TOOL, traffic:O, as:O, well:O, as:O, through:O, WildFire:S-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: 'More details on this protection is available in the conclusion of the report .' [/INST] [More:O, details:O, on:O, this:O, protection:O, is:O, available:O, in:O, the:O, conclusion:O, of:O, the:O, report:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On September 10 , 2019 , we observed an HTTP POST request to the following URL that we believe was the exploitation of CVE-2019-0604 in a publicly facing SharePoint server ( T1190 ) : /_layouts/15/picker.aspx .' [/INST] [On:O, September:B-TIME, 10:I-TIME, ,:I-TIME, 2019:E-TIME, ,:O, we:O, observed:O, an:O, HTTP:S-PROT, POST:O, request:O, to:O, the:O, following:O, URL:O, that:O, we:O, believe:O, was:O, the:O, exploitation:O, of:O, CVE-2019-0604:S-VULID, in:O, a:O, publicly:O, facing:O, SharePoint:S-TOOL, server:O, (:O, T1190:O, ):O, ::O, /_layouts/15/picker.aspx: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 command uses the echo command to write a large chunk of base64 encoded data to a text file named cmd.txt .' [/INST] [The:O, command:O, uses:O, the:O, echo:O, command:O, to:O, write:O, a:O, large:O, chunk:O, of:O, base64:S-ENCR, encoded:O, data:O, to:O, a:O, text:O, file:O, named:O, cmd.txt: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 command then uses the certutil application to convert the base64 encoded data ( T1132 ) in the cmd.txt file to c.aspx in three different SharePoint related folders .' [/INST] [The:O, command:O, then:O, uses:O, the:O, certutil:O, application:O, to:O, convert:O, the:O, base64:S-ENCR, encoded:O, data:O, (:O, T1132:O, ):O, in:O, the:O, cmd.txt:S-FILE, file:O, to:O, c.aspx:S-FILE, in:O, three:O, different:O, SharePoint:S-TOOL, related:O, folders:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 result of this entire command saves a variant of the Awen asp.net webshell ( T1100 ) to the SharePoint server to further interact with the compromise server .' [/INST] [The:O, result:O, of:O, this:O, entire:O, command:O, saves:O, a:O, variant:O, of:O, the:O, Awen:S-TOOL, asp.net:S-FILE, webshell:O, (:O, T1100:O, ):O, to:O, the:O, SharePoint:S-TOOL, server:O, to:O, further:O, interact:O, with:O, the:O, compromise: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 Awen webshell deployed in the exploitation of this SharePoint vulnerability had a SHA256 hash of 5d4628d4dd89f31236f8c56686925cbb1a9b4832f81c95a4300e64948afede21 .' [/INST] [The:O, Awen:S-TOOL, webshell:O, deployed:O, in:O, the:O, exploitation:O, of:O, this:O, SharePoint:S-TOOL, vulnerability:O, had:O, a:O, SHA256:S-ENCR, hash:O, of:O, 5d4628d4dd89f31236f8c56686925cbb1a9b4832f81c95a4300e64948afede21: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: 'Just 40 seconds after the suspected exploitation of CVE-2019-0604 , we observed the first HTTP GET request to a webshell at c.aspx , which is a modified version of the freely available awen asp.net webshell .' [/INST] [Just:O, 40:O, seconds:O, after:O, the:O, suspected:O, exploitation:O, of:O, CVE-2019-0604:S-VULID, ,:O, we:O, observed:O, the:O, first:O, HTTP:S-PROT, GET:O, request:O, to:O, a:O, webshell:O, at:O, c.aspx:S-FILE, ,:O, which:O, is:O, a:O, modified:O, version:O, of:O, the:O, freely:O, available:O, awen:S-TOOL, asp.net:S-FILE, webshell:O, .:O] </s> |