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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: 'We believe this HTTP GET request was the actor visiting the webshell after exploitation and prior to executing commands .' [/INST] [We:O, believe:O, this:O, HTTP:S-PROT, GET:O, request:O, was:O, the:O, actor:O, visiting:O, the:O, webshell:O, after:O, exploitation:O, and:O, prior:O, to:O, executing: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: 'The actor uses the Awen webshell to run various commands to do an initial discovery on the system and network , including user accounts ( T1033 and T1087 ) , files and folders ( T1083 ) , privileged groups ( T1069 ) , remote systems ( T1018 ) and network configuration ( T1016 ) .' [/INST] [The:O, actor:O, uses:O, the:O, Awen:S-TOOL, webshell:O, to:O, run:O, various:O, commands:O, to:O, do:O, an:O, initial:O, discovery:O, on:O, the:O, system:O, and:O, network:O, ,:O, including:O, user:O, accounts:O, (:O, T1033:O, and:O, T1087:O, ):O, ,:O, files:O, and:O, folders:O, (:O, T1083:O, ):O, ,:O, privileged:O, groups:O, (:O, T1069:O, ):O, ,:O, remote:O, systems:O, (:O, T1018:O, ):O, and:O, network:O, configuration:O, (:O, T1016: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: 'Table 1 not only shows the commands used for discovery , but also the commands used to deploy another webshell to the server using the echo command to write base64 encoded data to a.txt and using the certutil application to decode and save to bitreeview.aspx .' [/INST] [Table:O, 1:O, not:O, only:O, shows:O, the:O, commands:O, used:O, for:O, discovery:O, ,:O, but:O, also:O, the:O, commands:O, used:O, to:O, deploy:O, another:O, webshell:O, to:O, the:O, server:O, using:O, the:O, echo:O, command:O, to:O, write:O, base64:S-ENCR, encoded:O, data:O, to:O, a.txt:S-FILE, and:O, using:O, the:O, certutil:O, application:O, to:O, decode:O, and:O, save:O, to:O, bitreeview.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 webshell named bitreeview.aspx was saved to a folder within the SharePoint server ’s install path .' [/INST] [The:O, webshell:O, named:O, bitreeview.aspx:S-FILE, was:O, saved:O, to:O, a:O, folder:O, within:O, the:O, SharePoint:S-TOOL, server:O, ’s:O, install:O, path:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 bitreeview.aspx file is a variant of the AntSword webshell that has undeniably similar traits as the infamous China Chopper webshell .' [/INST] [The:O, bitreeview.aspx:S-FILE, file:O, is:O, a:O, variant:O, of:O, the:O, AntSword:S-TOOL, webshell:O, that:O, has:O, undeniably:O, similar:O, traits:O, as: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: 'After installing this AntSword webshell , the actor no longer uses the Awen webshell and issues the first command to AntSword 35 seconds after the last command issued to the Awen webshell .' [/INST] [After:O, installing:O, this:O, AntSword:S-TOOL, webshell:O, ,:O, the:O, actor:O, no:O, longer:O, uses:O, the:O, Awen:S-TOOL, webshell:O, and:O, issues:O, the:O, first:O, command:O, to:O, AntSword:S-TOOL, 35:O, seconds:O, after:O, the:O, last:O, command:O, issued:O, to:O, the:O, Awen: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: 'AntSword is a modular webshell that involves a very simple webshell that the actor would deploy to the compromised server and a client application referred to as the AntSword Shell Manager .' [/INST] [AntSword:S-TOOL, is:O, a:O, modular:O, webshell:O, that:O, involves:O, a:O, very:O, simple:O, webshell:O, that:O, the:O, actor:O, would:O, deploy:O, to:O, the:O, compromised:O, server:O, and:O, a:O, client:O, application:O, referred:O, to:O, as:O, the:O, AntSword:S-TOOL, Shell:B-TOOL, Manager: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: 'The use of the client application differs from many other webshells that the actor would interact with in a browser window .' [/INST] [The:O, use:O, of:O, the:O, client:O, application:O, differs:O, from:O, many:O, other:O, webshells:O, that:O, the:O, actor:O, would:O, interact:O, with:O, in:O, a:O, browser:O, window:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The actor would use the AntSword Shell Manager to interact with the AntSword webshell on the compromised server , as the Shell Manager sends the appropriate script to the webshell that will execute to carry out the desired action .' [/INST] [The:O, actor:O, would:O, use:O, the:O, AntSword:S-TOOL, Shell:B-TOOL, Manager:E-TOOL, to:O, interact:O, with:O, the:O, AntSword:S-TOOL, webshell:O, on:O, the:O, compromised:O, server:O, ,:O, as:O, the:O, Shell:B-TOOL, Manager:E-TOOL, sends:O, the:O, appropriate:O, script:O, to:O, the:O, webshell:O, that:O, will:O, execute:O, to:O, carry:O, out:O, the:O, desired: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: 'To provide a sense of the limited functionality within the webshell itself , the bitreeview.aspx AntSword webshell deployed in this attack ( SHA256: 15ecb6ac6c637b58b2114e6b21b5b18b0c9f5341ee74b428b70e17e64b7da55e ) was only 162 bytes .' [/INST] [To:O, provide:O, a:O, sense:O, of:O, the:O, limited:O, functionality:O, within:O, the:O, webshell:O, itself:O, ,:O, the:O, bitreeview.aspx:S-FILE, AntSword:S-TOOL, webshell:O, deployed:O, in:O, this:O, attack:O, (:O, SHA256::O, 15ecb6ac6c637b58b2114e6b21b5b18b0c9f5341ee74b428b70e17e64b7da55e:S-SHA2, ):O, was:O, only:O, 162:O, bytes:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'AntSword webshell has no functionality other than running a script provided by the AntSword Shell Manager , specifically within a field named Darr1R1ng of an HTTP POST request .' [/INST] [AntSword:S-TOOL, webshell:O, has:O, no:O, functionality:O, other:O, than:O, running:O, a:O, script:O, provided:O, by:O, the:O, AntSword:S-TOOL, Shell:B-TOOL, Manager:E-TOOL, ,:O, specifically:O, within:O, a:O, field:O, named:O, Darr1R1ng:O, of:O, an:O, HTTP:S-PROT, POST:O, request:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The code above also tells us the actors had created their own custom “ encoder ” within the AntSword Shell Manager to be able to interact with the code above , which we will discuss in detail in the next section .' [/INST] [The:O, code:O, above:O, also:O, tells:O, us:O, the:O, actors:O, had:O, created:O, their:O, own:O, custom:O, “:O, encoder:O, ”:O, within:O, the:O, AntSword:S-TOOL, Shell:B-TOOL, Manager:E-TOOL, to:O, be:O, able:O, to:O, interact:O, with:O, the:O, code:O, above:O, ,:O, which:O, we:O, will:O, discuss:O, in:O, detail:O, in:O, the:O, next:O, section:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In addition to the Mimikatz tool , the actor uploaded other tools to the webshell hosted at this second organization . es.exe : Mimikatz with custom loader , da53dcaeede03413ba02802c4be10883c4c28d3d28dee11734f048b90eb3d304 .' [/INST] [In:O, addition:O, to:O, the:O, Mimikatz:S-TOOL, tool:O, ,:O, the:O, actor:O, uploaded:O, other:O, tools:O, to:O, the:O, webshell:O, hosted:O, at:O, this:O, second:O, organization:O, .:O, es.exe:S-FILE, ::O, Mimikatz:S-TOOL, with:O, custom:O, loader:O, ,:O, da53dcaeede03413ba02802c4be10883c4c28d3d28dee11734f048b90eb3d304: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: 'Rar.exe : Legitimate WinRAR , 26d9212ec8dbca45383eb95ec53c05357851bd7529fa0761d649f62e90c4e9fd . atec.exe : Compiled Impacket atexec tool , a4aca75bcc8f18b8a2316fd67a7e545c59b871d32de0b325f56d22584038fa10 . dmp.exe : Dumpert tool , e4e05c9a216c2f2b3925293503b5d5a892c33db2f6ea58753f032b80608c3f2e .' [/INST] [Rar.exe:S-FILE, ::O, Legitimate:O, WinRAR:S-TOOL, ,:O, 26d9212ec8dbca45383eb95ec53c05357851bd7529fa0761d649f62e90c4e9fd:S-SHA2, .:O, atec.exe:S-FILE, ::O, Compiled:O, Impacket:S-TOOL, atexec:O, tool:O, ,:O, a4aca75bcc8f18b8a2316fd67a7e545c59b871d32de0b325f56d22584038fa10:S-SHA2, .:O, dmp.exe:S-FILE, ::O, Dumpert:S-TOOL, tool:O, ,:O, e4e05c9a216c2f2b3925293503b5d5a892c33db2f6ea58753f032b80608c3f2e: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: 'One of the tools seen above that caught our interest was the Dumpert tool , which is freely available on Outflanknl ’s GitHub repository .' [/INST] [One:O, of:O, the:O, tools:O, seen:O, above:O, that:O, caught:O, our:O, interest:O, was:O, the:O, Dumpert:S-TOOL, tool:O, ,:O, which:O, is:O, freely:O, available:O, on:O, Outflanknl:S-TOOL, ’s:O, GitHub:S-TOOL, repository:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 author of Dumpert describes the tool as an LSASS dumping tool that uses direct system calls and API unhooking to evade antivirus and EDR solutions .' [/INST] [The:O, author:O, of:O, Dumpert:S-TOOL, describes:O, the:O, tool:O, as:O, an:O, LSASS:S-TOOL, dumping:O, tool:O, that:O, uses:O, direct:O, system:O, calls:O, and:O, API:O, unhooking:O, to:O, evade:O, antivirus:O, and:O, EDR:S-TOOL, solutions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Dumpert is a relatively new tool with its initial commit to GitHub occurring on June 17 , 2019 .' [/INST] [Dumpert:S-TOOL, is:O, a:O, relatively:O, new:O, tool:O, with:O, its:O, initial:O, commit:O, to:O, GitHub:S-TOOL, occurring:O, on:O, June:B-TIME, 17:I-TIME, ,:I-TIME, 2019:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Dumpert tool is meant to help red teams emulate an adversary , we had not seen this tool used by threat actors until it was uploaded to this related webshell on September 23 , 2019 .' [/INST] [While:O, the:O, Dumpert:S-TOOL, tool:O, is:O, meant:O, to:O, help:O, red:O, teams:O, emulate:O, an:O, adversary:O, ,:O, we:O, had:O, not:O, seen:O, this:O, tool:O, used:O, by:O, threat:O, actors:O, until:O, it:O, was:O, uploaded:O, to:O, this:O, related:O, webshell:O, on:O, September:B-TIME, 23:I-TIME, ,:I-TIME, 2019:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Threat actors continue to exploit the CVE-2019-0604 vulnerability to compromise SharePoint servers , which is a vulnerability that Microsoft released a patch for in March 2019 .' [/INST] [Threat:O, actors:O, continue:O, to:O, exploit:O, the:O, CVE-2019-0604:S-VULID, vulnerability:O, to:O, compromise:O, SharePoint:S-TOOL, servers:O, ,:O, which:O, is:O, a:O, vulnerability:O, that:O, Microsoft:S-IDTY, released:O, a:O, patch:O, for:O, in:O, March:B-TIME, 2019:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 observed actors installing webshells to the SharePoint server that they use to run commands and upload additional tools to in order to dump credentials and move laterally to other systems on the network .' [/INST] [We:O, observed:O, actors:O, installing:O, webshells:O, to:O, the:O, SharePoint:S-TOOL, server:O, that:O, they:O, use:O, to:O, run:O, commands:O, and:O, upload:O, additional:O, tools:O, to:O, in:O, order:O, to:O, dump:O, credentials:O, and:O, move:O, laterally:O, to:O, other:O, systems:O, on:O, the:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 were also able to find a related webshell based on the threat group ’s tool reuse , specifically a custom Mimikatz sample .' [/INST] [We:O, were:O, also:O, able:O, to:O, find:O, a:O, related:O, webshell:O, based:O, on:O, the:O, threat:O, group:O, ’s:O, tool:O, reuse:O, ,:O, specifically:O, a:O, custom:O, Mimikatz:S-TOOL, sample:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Thanks to this tool reuse , we found the threat group uploading a credential dumping tool called Dumpert that we had not seen used in prior incidents involving the exploitation of CVE-2019-0604 .' [/INST] [Thanks:O, to:O, this:O, tool:O, reuse:O, ,:O, we:O, found:O, the:O, threat:O, group:O, uploading:O, a:O, credential:O, dumping:O, tool:O, called:O, Dumpert:S-TOOL, that:O, we:O, had:O, not:O, seen:O, used:O, in:O, prior:O, incidents:O, involving:O, the:O, exploitation:O, of: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: 'Digital Attack on German Parliament: Investigative Report on the Hack of the Left Party Infrastructure in Bundestag .' [/INST] [Digital:O, Attack:O, on:O, German:O, Parliament::O, Investigative:O, Report:O, on:O, the:O, Hack:O, of:O, the:O, Left:O, Party:O, Infrastructure:O, in:O, Bundestag:S-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: 'Two suspicious artifacts have been retrieved from two separate servers within the Die Linke infrastructure .' [/INST] [Two:O, suspicious:O, artifacts:O, have:O, been:O, retrieved:O, from:O, two:O, separate:O, servers:O, within:O, the:O, Die:O, Linke:O, infrastructure:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 is an open source utility used to remotely issue commands on a Windows host from a Linux host .' [/INST] [One:O, is:O, an:O, open:O, source:O, utility:O, used:O, to:O, remotely:O, issue:O, commands:O, on:O, a:O, Windows:S-OS, host:O, from:O, a:O, Linux:S-OS, host:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 other is a custom utility which , despite its large size , has limited functionality and acts as a tunnel , possibly used by the attackers to maintain persistence within the compromised network .' [/INST] [The:O, other:O, is:O, a:O, custom:O, utility:O, which:O, ,:O, despite:O, its:O, large:O, size:O, ,:O, has:O, limited:O, functionality:O, and:O, acts:O, as:O, a:O, tunnel:O, ,:O, possibly:O, used:O, by:O, the:O, attackers:O, to:O, maintain:O, persistence:O, within:O, the:O, compromised:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attributes of one of the artifacts and intelligence gathered on the infrastructure operated by the attackers suggest that the attack was perpetrated by a state-sponsored group known as Sofacy ( or APT28 ) .' [/INST] [Attributes:O, of:O, one:O, of:O, the:O, artifacts:O, and:O, intelligence:O, gathered:O, on:O, the:O, infrastructure:O, operated:O, by:O, the:O, attackers:O, suggest:O, that:O, the:O, attack:O, was:O, perpetrated:O, by:O, a:O, state-sponsored:O, group:O, known:O, as:O, Sofacy:S-APT, (:O, or:O, APT28:S-APT, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Previous work published by security vendor FireEye in October 2014 suggests the group might be of Russian origin .' [/INST] [Previous:O, work:O, published:O, by:O, security:O, vendor:O, FireEye:S-SECTEAM, in:O, October:B-TIME, 2014:E-TIME, suggests:O, the:O, group:O, might:O, be:O, of:O, Russian: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: 'The first artifact – identified across this report as Artifact #1 – has the following attributes :' [/INST] [The:O, first:O, artifact:O, –:O, identified:O, across:O, this:O, report:O, as:O, Artifact:O, #1:O, –:O, has:O, the:O, following:O, attributes:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 winexesvc.exe Size 23552 MD5 77e7fb6b56c3ece4ef4e93b6dc608be0 SHA1 f46f84e53263a33e266aae520cb2c1bd0a73354e SHA256 5130f600cd9a9cdc82d4bad938b20cbd2f699aadb76e7f3f1a93602330d9997d .' [/INST] [Name:O, winexesvc.exe:S-FILE, Size:O, 23552:O, MD5:S-ENCR, 77e7fb6b56c3ece4ef4e93b6dc608be0:S-MD5, SHA1:S-ENCR, f46f84e53263a33e266aae520cb2c1bd0a73354e:S-SHA1, SHA256:S-ENCR, 5130f600cd9a9cdc82d4bad938b20cbd2f699aadb76e7f3f1a93602330d9997d: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 second artifact – identified across this report as Artifact #2 – -has the following attributes :' [/INST] [The:O, second:O, artifact:O, –:O, identified:O, across:O, this:O, report:O, as:O, Artifact:O, #2:O, –:O, -has:O, the:O, following:O, attributes:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 svchost.exe Size 1062912 MD5 5e70a5c47c6b59dae7faf0f2d62b28b3 SHA1 cdeea936331fcdd8158c876e9d23539f8976c305 SHA256 730a0e3daf0b54f065bdd2ca427fbe10e8d4e28646a5dc40cbcfb15e1702ed9a Compile Time 2015-04-22 10:49:54 .' [/INST] [Name:O, svchost.exe:S-FILE, Size:O, 1062912:O, MD5:S-ENCR, 5e70a5c47c6b59dae7faf0f2d62b28b3:S-MD5, SHA1:S-ENCR, cdeea936331fcdd8158c876e9d23539f8976c305:S-SHA1, SHA256:S-ENCR, 730a0e3daf0b54f065bdd2ca427fbe10e8d4e28646a5dc40cbcfb15e1702ed9a:S-SHA2, Compile:O, Time:O, 2015-04-22:B-TIME, 10:49:54:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Artifact #1 was retrieved from a File Server operated by Die Linke .' [/INST] [Artifact:O, #1:O, was:O, retrieved:O, from:O, a:O, File:B-TOOL, Server:E-TOOL, operated:O, by:O, Die:O, Linke:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 file is a 64bit-compatible compiled binary of the open source utility Winexe .' [/INST] [The:O, file:O, is:O, a:O, 64bit-compatible:O, compiled:O, binary:O, of:O, the:O, open:O, source:O, utility:O, Winexe: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: 'Winexe is software similar to the more popular PSExec and is designed to allow system administrators to execute commands on remote servers .' [/INST] [Winexe:S-TOOL, is:O, software:O, similar:O, to:O, the:O, more:O, popular:O, PSExec:S-TOOL, and:O, is:O, designed:O, to:O, allow:O, system:O, administrators:O, to:O, execute:O, commands:O, on:O, remote:O, servers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 commercial solutions like Symantec pcAnywhere provide a larger feature-set , Winexe is lightweight , and doesn’t require any installation or configuration .' [/INST] [While:O, commercial:O, solutions:O, like:O, Symantec:S-SECTEAM, pcAnywhere:O, provide:O, a:O, larger:O, feature-set:O, ,:O, Winexe:S-TOOL, is:O, lightweight:O, ,:O, and:O, doesn’t:O, require:O, any:O, installation:O, or:O, configuration:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'One of the reasons Winexe is preferred over PSExec , is that it provides a Linux client , while PSExec doesn’t .' [/INST] [One:O, of:O, the:O, reasons:O, Winexe:S-TOOL, is:O, preferred:O, over:O, PSExec:S-TOOL, ,:O, is:O, that:O, it:O, provides:O, a:O, Linux:S-OS, client:O, ,:O, while:O, PSExec:S-TOOL, doesn’t:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 making growing use of utilities like Winexe and PSExec to perform lateral movement across compromised networks .' [/INST] [Attackers:O, are:O, making:O, growing:O, use:O, of:O, utilities:O, like:O, Winexe:S-TOOL, and:O, PSExec:S-TOOL, to:O, perform:O, lateral:O, movement:O, across:O, compromised: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: 'Besides providing the ability to execute arbitrary commands on the target system , these utilities normally don’t raise suspicion as they are commonly whitelisted by Antivirus and other commercial security software .' [/INST] [Besides:O, providing:O, the:O, ability:O, to:O, execute:O, arbitrary:O, commands:O, on:O, the:O, target:O, system:O, ,:O, these:O, utilities:O, normally:O, don’t:O, raise:O, suspicion:O, as:O, they:O, are:O, commonly:O, whitelisted:O, by:O, Antivirus:O, and:O, other:O, commercial:O, security:O, software:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Winexe acts as a Windows service that can be configured to automatically start at boot and silently wait for incoming commands over a named pipe .' [/INST] [Winexe:S-TOOL, acts:O, as:O, a:O, Windows:S-OS, service:O, that:O, can:O, be:O, configured:O, to:O, automatically:O, start:O, at:O, boot:O, and:O, silently:O, wait:O, for:O, incoming:O, commands:O, over:O, a:O, named:O, pipe:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Named pipes are a Windows inter-process communication method .' [/INST] [Named:O, pipes:O, are:O, a:O, Windows:S-OS, inter-process:O, communication:O, method:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Through named pipes , processes are able to communicate and exchange data even over a network .' [/INST] [Through:O, named:O, pipes:O, ,:O, processes:O, are:O, able:O, to:O, communicate:O, and:O, exchange:O, data:O, even:O, over:O, a:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the case of Artifact #1 , the name of the pipe is ahexec , computers over the network could access the pipe server by simply opening a file handle on \ServerNamepipeahexec .' [/INST] [In:O, the:O, case:O, of:O, Artifact:O, #1:O, ,:O, the:O, name:O, of:O, the:O, pipe:O, is:O, ahexec:O, ,:O, computers:O, over:O, the:O, network:O, could:O, access:O, the:O, pipe:O, server:O, by:O, simply:O, opening:O, a:O, file:O, handle:O, on:O, \ServerNamepipeahexec:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 connected to the pipe , a user or a program can easily provide information required to execute command ( just as they would normally through a command-line ) .' [/INST] [Once:O, connected:O, to:O, the:O, pipe:O, ,:O, a:O, user:O, or:O, a:O, program:O, can:O, easily:O, provide:O, information:O, required:O, to:O, execute:O, command:O, (:O, just:O, as:O, they:O, would:O, normally:O, through:O, a:O, command-line: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: 'The provided information is then passed to a CreateProcessAsUserA call and the specified command is executed .' [/INST] [The:O, provided:O, information:O, is:O, then:O, passed:O, to:O, a:O, CreateProcessAsUserA:O, call:O, and:O, the:O, specified:O, command:O, is: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: 'Once inside the network , Artifact #1 can be enough for the attacker to download or create additional scripts , execute commands and exfiltrate data ( for example , simply through ftp ) .' [/INST] [Once:O, inside:O, the:O, network:O, ,:O, Artifact:O, #1:O, can:O, be:O, enough:O, for:O, the:O, attacker:O, to:O, download:O, or:O, create:O, additional:O, scripts:O, ,:O, execute:O, commands:O, and:O, exfiltrate:O, data:O, (:O, for:O, example:O, ,:O, simply:O, through:O, ftp:S-PROT, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 plausible that Artifact #1 could be present on other servers under different names , although it is also likely that the attacker only left it on servers to which they required maintainenance of persistent access .' [/INST] [It:O, is:O, plausible:O, that:O, Artifact:O, #1:O, could:O, be:O, present:O, on:O, other:O, servers:O, under:O, different:O, names:O, ,:O, although:O, it:O, is:O, also:O, likely:O, that:O, the:O, attacker:O, only:O, left:O, it:O, on:O, servers:O, to:O, which:O, they:O, required:O, maintainenance:O, of:O, persistent:O, access:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Artifact #2 was recovered from the Admin Controller operated by Die Linke .' [/INST] [Artifact:O, #2:O, was:O, recovered:O, from:O, the:O, Admin:B-TOOL, Controller:E-TOOL, operated:O, by:O, Die:O, Linke:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This is custom malware , which despite large file size ( 1,1 MB ) , provides limited functionality .' [/INST] [This:O, is:O, custom:O, malware:O, ,:O, which:O, despite:O, large:O, file:O, size:O, (:O, 1,1:O, MB:O, ):O, ,:O, provides:O, limited:O, functionality:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Artifact #2 operates as a backchannel for the attacker to maintain a foothold inside the compromised network .' [/INST] [Artifact:O, #2:O, operates:O, as:O, a:O, backchannel:O, for:O, the:O, attacker:O, to:O, maintain:O, a:O, foothold:O, inside:O, the:O, compromised:O, network:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 properties of the artifact show that the same authors of the malware seem to have called it Xtunnel .' [/INST] [The:O, properties:O, of:O, the:O, artifact:O, show:O, that:O, the:O, same:O, authors:O, of:O, the:O, malware:O, seem:O, to:O, have:O, called:O, it:O, Xtunnel:S-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: 'As the same name suggests , the artifact appears in fact to act as a tunnel for the attacker to remotely access the internal network and maintain persistence .' [/INST] [As:O, the:O, same:O, name:O, suggests:O, ,:O, the:O, artifact:O, appears:O, in:O, fact:O, to:O, act:O, as:O, a:O, tunnel:O, for:O, the:O, attacker:O, to:O, remotely:O, access:O, the:O, internal:O, network:O, and:O, maintain:O, persistence:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 initialization , the artifact will attempt to establish a connection by creating a socket .' [/INST] [After:O, initialization:O, ,:O, the:O, artifact:O, will:O, attempt:O, to:O, establish:O, a:O, connection:O, by:O, creating:O, a:O, socket:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 case of failure , it will sleep for three seconds and try again .' [/INST] [In:O, case:O, of:O, failure:O, ,:O, it:O, will:O, sleep:O, for:O, three:O, seconds:O, and:O, try:O, again:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The authors of the malware didn’t appear to have spent any effort in concealing indicators or obfuscating code – the IP address with which it tries to communicate is hardcoded in clear-text inside the binary .' [/INST] [The:O, authors:O, of:O, the:O, malware:O, didn’t:O, appear:O, to:O, have:O, spent:O, any:O, effort:O, in:O, concealing:O, indicators:O, or:O, obfuscating:O, code:O, –:O, the:O, IP:O, address:O, with:O, which:O, it:O, tries:O, to:O, communicate:O, is:O, hardcoded:O, in:O, clear-text:O, inside:O, the:O, binary:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 can observe below , the procedure through which the artifact attempts to establish a connection with the IP address 176.31.112.10 .' [/INST] [We:O, can:O, observe:O, below:O, ,:O, the:O, procedure:O, through:O, which:O, the:O, artifact:O, attempts:O, to:O, establish:O, a:O, connection:O, with:O, the:O, IP:O, address:O, 176.31.112.10: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 specific IP address is a critical piece of information that enables us to connect this attack to a spree of previous targeted campaigns .' [/INST] [This:O, specific:O, IP:O, address:O, is:O, a:O, critical:O, piece:O, of:O, information:O, that:O, enables:O, us:O, to:O, connect:O, this:O, attack:O, to:O, a:O, spree:O, of:O, previous:O, targeted: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 details of this attribution is explained in a dedicated section below .' [/INST] [The:O, details:O, of:O, this:O, attribution:O, is:O, explained:O, in:O, a:O, dedicated:O, section:O, below:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We will refer to this IP address as Command & Control ( or C&C ) .' [/INST] [We:O, will:O, refer:O, to:O, this:O, IP:O, address:O, as:O, Command:B-TOOL, &:I-TOOL, Control:E-TOOL, (:O, or:O, C&C:S-TOOL, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 argument -SSL is given through command-line to the artifact , these beacons will be encapsulated in an SSL connection and a proper TLS handshake will be initiated with the C&C .' [/INST] [If:O, the:O, argument:O, -SSL:S-PROT, is:O, given:O, through:O, command-line:O, to:O, the:O, artifact:O, ,:O, these:O, beacons:O, will:O, be:O, encapsulated:O, in:O, an:O, SSL:S-PROT, connection:O, and:O, a:O, proper:O, TLS:S-PROT, handshake:O, will:O, be:O, initiated:O, with: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: 'Interestingly , the artifact bundles a copy of OpenSSL 1.0.1e , from February 2013 , which causes the unusually large size of the binary .' [/INST] [Interestingly:O, ,:O, the:O, artifact:O, bundles:O, a:O, copy:O, of:O, OpenSSL:S-TOOL, 1.0.1e:O, ,:O, from:O, February:B-TIME, 2013:E-TIME, ,:O, which:O, causes:O, the:O, unusually:O, large:O, size:O, of:O, the:O, binary:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 importantly , the Command & Control server ( 176.31.112.10 ) also appears to be using an outdated version of OpenSSL and be vulnerable to Heartbleed attacks .' [/INST] [More:O, importantly:O, ,:O, the:O, Command:B-TOOL, &:I-TOOL, Control:E-TOOL, server:O, (:O, 176.31.112.10:S-IP, ):O, also:O, appears:O, to:O, be:O, using:O, an:O, outdated:O, version:O, of:O, OpenSSL:S-TOOL, and:O, be:O, vulnerable:O, to:O, Heartbleed:S-VULNAME, 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: 'While unlikely , it is worth considering that the same C&C server might have been the subject of 3rd-party attacks due to this vulnerability .' [/INST] [While:O, unlikely:O, ,:O, it:O, is:O, worth:O, considering:O, that:O, the:O, same:O, C&C:S-TOOL, server:O, might:O, have:O, been:O, the:O, subject:O, of:O, 3rd-party:O, attacks:O, due:O, to:O, this:O, vulnerability:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 connections to the C&C are blocked or terminated through a firewall , the artifact will be inhibited , as it doesn’t seem to have any fallback protocol .' [/INST] [If:O, connections:O, to:O, the:O, C&C:S-TOOL, are:O, blocked:O, or:O, terminated:O, through:O, a:O, firewall:O, ,:O, the:O, artifact:O, will:O, be:O, inhibited:O, ,:O, as:O, it:O, doesn’t:O, seem:O, to:O, have:O, any:O, fallback:O, protocol:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Additionally , since it does not execute any other functionality autonomously , it would no longer be a direct threat .' [/INST] [Additionally:O, ,:O, since:O, it:O, does:O, not:O, execute:O, any:O, other:O, functionality:O, autonomously:O, ,:O, it:O, would:O, no:O, longer:O, be:O, a:O, direct:O, threat:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attribution of malware attacks is rarely simple or conclusive , during the course of this investigation I uncovered evidence that suggests the attacker might be affiliated with the state-sponsored group known as Sofacy Group ( also known as APT28 or Operation Pawn Storm ) .' [/INST] [While:O, attribution:O, of:O, malware:O, attacks:O, is:O, rarely:O, simple:O, or:O, conclusive:O, ,:O, during:O, the:O, course:O, of:O, this:O, investigation:O, I:O, uncovered:O, evidence:O, that:O, suggests:O, the:O, attacker:O, might:O, be:O, affiliated:O, with:O, the:O, state-sponsored:O, group:O, known:O, as:O, Sofacy:S-APT, Group:O, (:O, also:O, known:O, as:O, APT28:S-APT, or:O, Operation:B-APT, Pawn:I-APT, Storm:E-APT, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Although we are unable to provide details in support of such attribution , previous work by security vendor FireEye suggests the group might be of Russian origin , however no evidence allows to tie the attacks to governments of any particular country .' [/INST] [Although:O, we:O, are:O, unable:O, to:O, provide:O, details:O, in:O, support:O, of:O, such:O, attribution:O, ,:O, previous:O, work:O, by:O, security:O, vendor:O, FireEye:S-SECTEAM, suggests:O, the:O, group:O, might:O, be:O, of:O, Russian:O, origin:O, ,:O, however:O, no:O, evidence:O, allows:O, to:O, tie:O, the:O, attacks:O, to:O, governments:O, of:O, any:O, particular:O, country:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sofacy is a group dedicated to the compromise of high-profile targets and the theft of confidential information .' [/INST] [Sofacy:S-APT, is:O, a:O, group:O, dedicated:O, to:O, the:O, compromise:O, of:O, high-profile:O, targets:O, and:O, the:O, theft:O, of:O, confidential: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: 'They appear to have been active since 2006 .' [/INST] [They:O, appear:O, to:O, have:O, been:O, active:O, since:O, 2006:S-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'They are believed to have successfully attacked the Ministries of Internal and Foreign Affairs of several ex-Soviet countries , as well as Eastern European governments and military institutions , and NATO and the White House .' [/INST] [They:O, are:O, believed:O, to:O, have:O, successfully:O, attacked:O, the:O, Ministries:B-IDTY, of:I-IDTY, Internal:E-IDTY, and:O, Foreign:B-IDTY, Affairs:E-IDTY, of:O, several:O, ex-Soviet:O, countries:O, ,:O, as:O, well:O, as:O, Eastern:O, European:O, governments:O, and:O, military:O, institutions:O, ,:O, and:O, NATO:S-IDTY, and:O, the:O, White:B-IDTY, House: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: 'Sofacy is known for making extensive use of phishing attacks to lure targets into revealing their credentials via realistic reconstruction of internal systems , such as webmails , as employed against the Georgian Ministry of Internal Affairs in the infamous attacks that preceded the Georgian invasion of 2008 .' [/INST] [Sofacy:S-APT, is:O, known:O, for:O, making:O, extensive:O, use:O, of:O, phishing:E-ACT, attacks:O, to:O, lure:O, targets:O, into:O, revealing:O, their:O, credentials:O, via:O, realistic:O, reconstruction:O, of:O, internal:O, systems:O, ,:O, such:O, as:O, webmails:O, ,:O, as:O, employed:O, against:O, the:O, Georgian:B-IDTY, Ministry:I-IDTY, of:I-IDTY, Internal:I-IDTY, Affairs:E-IDTY, in:O, the:O, infamous:O, attacks:O, that:O, preceded:O, the:O, Georgian:S-LOC, invasion:O, of:O, 2008:S-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Sofacy is also known to use of custom exploit frameworks and spear-phishing attacks , it is possible in this case that they managed to obtain privileged credentials of network administrators within the Bundestag through the use of a phishing attack , which then allowed them to navigate through the network and gain access to more data .' [/INST] [While:O, Sofacy:S-APT, is:O, also:O, known:O, to:O, use:O, of:O, custom:O, exploit:O, frameworks:O, and:O, spear-phishing:S-ACT, attacks:O, ,:O, it:O, is:O, possible:O, in:O, this:O, case:O, that:O, they:O, managed:O, to:O, obtain:O, privileged:O, credentials:O, of:O, network:O, administrators:O, within:O, the:O, Bundestag:S-IDTY, through:O, the:O, use:O, of:O, a:O, phishing:E-ACT, attack:O, ,:O, which:O, then:O, allowed:O, them:O, to:O, navigate:O, through:O, the:O, network:O, and:O, gain:O, access:O, to:O, more: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: 'It is worth noting that shortly before the attack , security vendors reported the use of 0-day exploits in Flash Player and Microsoft Windows by the same threat actor .' [/INST] [It:O, is:O, worth:O, noting:O, that:O, shortly:O, before:O, the:O, attack:O, ,:O, security:O, vendors:O, reported:O, the:O, use:O, of:O, 0-day:S-VULNAME, exploits:O, in:O, Flash:B-TOOL, Player:E-TOOL, and:O, Microsoft:S-IDTY, Windows:S-OS, by:O, the:O, same:O, threat:O, actor:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During investigation of the Command & Control server ( with IP 176.31.112.10 hardcoded in Artifact #2 ) , we managed to identify some operational mistakes made by the attackers , allowing us to connect the incident with attacks previously associated with the Sofacy Group .' [/INST] [During:O, investigation:O, of:O, the:O, Command:B-TOOL, &:I-TOOL, Control:E-TOOL, server:O, (:O, with:O, IP:O, 176.31.112.10:S-IP, hardcoded:O, in:O, Artifact:O, #2:O, ):O, ,:O, we:O, managed:O, to:O, identify:O, some:O, operational:O, mistakes:O, made:O, by:O, the:O, attackers:O, ,:O, allowing:O, us:O, to:O, connect:O, the:O, incident:O, with:O, attacks:O, previously:O, associated:O, with:O, the:O, Sofacy:S-APT, Group:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 address , 176.31.112.10 , is a dedicated server provided by the French OVH hosting company , but is apparently operated by an offshore secure hosting company called CrookServers.com .' [/INST] [The:O, address:O, ,:O, 176.31.112.10:S-IP, ,:O, is:O, a:O, dedicated:O, server:O, provided:O, by:O, the:O, French:O, OVH:S-TOOL, hosting:O, company:O, ,:O, but:O, is:O, apparently:O, operated:O, by:O, an:O, offshore:O, secure:O, hosting:O, company:O, called:O, CrookServers.com:S-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: 'By researching historical data relevant to C&C 176.31.112.10 , we discovered that on February 16th 2015 , the server was sharing an SSL certificate with another IP address allocated to CrookServers and also hosted at OVH : 213.251.187.145 .' [/INST] [By:O, researching:O, historical:O, data:O, relevant:O, to:O, C&C:S-TOOL, 176.31.112.10:S-IP, ,:O, we:O, discovered:O, that:O, on:O, February:B-TIME, 16th:I-TIME, 2015:E-TIME, ,:O, the:O, server:O, was:O, sharing:O, an:O, SSL:S-PROT, certificate:O, with:O, another:O, IP:O, address:O, allocated:O, to:O, CrookServers:S-IDTY, and:O, also:O, hosted:O, at:O, OVH:S-TOOL, ::O, 213.251.187.145: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: 'The recovered shared SSL certificate , obtained by a public internet-wide scanning initiative , at the time had the following attributes :' [/INST] [The:O, recovered:O, shared:O, SSL:S-PROT, certificate:O, ,:O, obtained:O, by:O, a:O, public:O, internet-wide:O, scanning:O, initiative:O, ,:O, at:O, the:O, time:O, had:O, the:O, following:O, attributes:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'MD5 b84b66bcdecd4b4529014619ed649d76 SHA1 fef1725ad72e4ef0432f8cb0cb73bf7ead339a7c Algorithm sha1 With RSA Encryption .' [/INST] [MD5:S-ENCR, b84b66bcdecd4b4529014619ed649d76:S-MD5, SHA1:S-ENCR, fef1725ad72e4ef0432f8cb0cb73bf7ead339a7c:S-SHA1, Algorithm:O, sha1:S-ENCR, With:O, RSA:S-ENCR, Encryption:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 shown , the certificate uses mail.mfa.gov.ua as a Common Name .' [/INST] [As:O, shown:O, ,:O, the:O, certificate:O, uses:O, mail.mfa.gov.ua:S-DOM, as:O, a:O, Common:O, Name:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This suggests that this certificate might have been previously used for a similar attack against the Ukrainian Ministry of Foreign Affairs , or associated targets , although there is no documentation of such attack available to the public .' [/INST] [This:O, suggests:O, that:O, this:O, certificate:O, might:O, have:O, been:O, previously:O, used:O, for:O, a:O, similar:O, attack:O, against:O, the:O, Ukrainian:B-IDTY, Ministry:I-IDTY, of:I-IDTY, Foreign:I-IDTY, Affairs:E-IDTY, ,:O, or:O, associated:O, targets:O, ,:O, although:O, there:O, is:O, no:O, documentation:O, of:O, such:O, attack:O, available:O, to:O, the:O, public:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 importantly , the IP address this certificate was shared with 213.251.187.145 was previously identified as used by Sofacy Group for phishing attacks against Albanian government institutions by registering the domain qov.al and creating realistic subdomains to lure victims into visiting .' [/INST] [More:O, importantly:O, ,:O, the:O, IP:O, address:O, this:O, certificate:O, was:O, shared:O, with:O, 213.251.187.145:S-IP, was:O, previously:O, identified:O, as:O, used:O, by:O, Sofacy:S-APT, Group:O, for:O, phishing:E-ACT, attacks:O, against:O, Albanian:O, government:O, institutions:O, by:O, registering:O, the:O, domain:O, qov.al:S-DOM, and:O, creating:O, realistic:O, subdomains:O, to:O, lure:O, victims:O, into:O, visiting:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The domain was active on the IP 213.251.187.145 from July 2014 up until March 2015 .' [/INST] [The:O, domain:O, was:O, active:O, on:O, the:O, IP:O, 213.251.187.145:S-IP, from:O, July:B-TIME, 2014:E-TIME, up:O, until:O, March:B-TIME, 2015:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 against Albanian government institutions by the Sofacy Group were documented and reported by consultancy corporate PwC in December 2014 .' [/INST] [These:O, attacks:O, against:O, Albanian:O, government:O, institutions:O, by:O, the:O, Sofacy:S-APT, Group:O, were:O, documented:O, and:O, reported:O, by:O, consultancy:O, corporate:O, PwC:S-IDTY, in:O, December:B-TIME, 2014:E-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 this server also seems to be operated by CrookServers , since among other domains , 454-reverse.crookservers.net resolved to the same IP address .' [/INST] [It:O, is:O, worth:O, noting:O, that:O, this:O, server:O, also:O, seems:O, to:O, be:O, operated:O, by:O, CrookServers:S-IDTY, ,:O, since:O, among:O, other:O, domains:O, ,:O, 454-reverse.crookservers.net:S-DOM, resolved:O, to:O, the:O, same:O, IP:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While the evidence presented strongly suggests a connection with the Sofacy Group , the artifacts ( in particular Artifact #2 ) are not publicly recognized to be part of the more traditional arsenal of these attackers .' [/INST] [While:O, the:O, evidence:O, presented:O, strongly:O, suggests:O, a:O, connection:O, with:O, the:O, Sofacy:S-APT, Group:O, ,:O, the:O, artifacts:O, (:O, in:O, particular:O, Artifact:O, #2:O, ):O, are:O, not:O, publicly:O, recognized:O, to:O, be:O, part:O, of:O, the:O, more:O, traditional:O, arsenal:O, of:O, these:O, attackers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Nevertheless , on May 12th 2015 ( a few weeks after the attack against Bundestag appears to have started ) the American security firm root9B released a report containing details on malware samples very similar to Artifact #2 .' [/INST] [Nevertheless:O, ,:O, on:O, May:B-TIME, 12th:I-TIME, 2015:E-TIME, (:O, a:O, few:O, weeks:O, after:O, the:O, attack:O, against:O, Bundestag:S-IDTY, appears:O, to:O, have:O, started:O, ):O, the:O, American:O, security:O, firm:O, root9B:O, released:O, a:O, report:O, containing:O, details:O, on:O, malware:O, samples:O, very:O, similar:O, to:O, Artifact:O, #2:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The report also includes a mention of the same IP address used as Command & Control server in the attack against Bundestag ( 176.31.112.10 ) .' [/INST] [The:O, report:O, also:O, includes:O, a:O, mention:O, of:O, the:O, same:O, IP:O, address:O, used:O, as:O, Command:B-TOOL, &:I-TOOL, Control:E-TOOL, server:O, in:O, the:O, attack:O, against:O, Bundestag:S-IDTY, (:O, 176.31.112.10: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: 'While the report appears to contain numerous inaccuracies , some of the indicators of compromises are legitimate and appear to be correctly attributed to Sofacy .' [/INST] [While:O, the:O, report:O, appears:O, to:O, contain:O, numerous:O, inaccuracies:O, ,:O, some:O, of:O, the:O, indicators:O, of:O, compromises:O, are:O, legitimate:O, and:O, appear:O, to:O, be:O, correctly:O, attributed:O, to:O, Sofacy:S-APT, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Slice of 2017 Sofacy Activity .' [/INST] [A:O, Slice:O, of:O, 2017:S-TIME, Sofacy:S-APT, Activity:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Sofacy , also known as APT28 , Fancy Bear , and Tsar Team , is a highly active and prolific APT .' [/INST] [Sofacy:S-APT, ,:O, also:O, known:O, as:O, APT28:S-APT, ,:O, Fancy:B-APT, Bear:E-APT, ,:O, and:O, Tsar:B-APT, Team:E-APT, ,:O, is:O, a:O, highly:O, active:O, and:O, prolific:O, APT:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 their high volume 0day deployment to their innovative and broad malware set , Sofacy is one of the top groups that we monitor , report , and protect against . 2017 was not any different in this regard .' [/INST] [From:O, their:O, high:O, volume:O, 0day:S-VULNAME, deployment:O, to:O, their:O, innovative:O, and:O, broad:O, malware:O, set:O, ,:O, Sofacy:S-APT, is:O, one:O, of:O, the:O, top:O, groups:O, that:O, we:O, monitor:O, ,:O, report:O, ,:O, and:O, protect:O, against:O, .:O, 2017:S-TIME, was:O, not:O, any:O, different:O, in:O, this:O, regard:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 private reports subscription customers receive a steady stream of YARA , IOC , and reports on Sofacy , our most reported APT for the year .' [/INST] [Our:O, private:O, reports:O, subscription:O, customers:O, receive:O, a:O, steady:O, stream:O, of:O, YARA:S-TOOL, ,:O, IOC:S-TOOL, ,:O, and:O, reports:O, on:O, Sofacy:S-APT, ,:O, our:O, most:O, reported:O, APT:O, for:O, the:O, year:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This high level of cyber-espionage activity goes back years .' [/INST] [This:O, high:O, level:O, of:O, cyber-espionage:O, activity:O, goes:O, back:O, years:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2011-2012 , the group used a relatively tiny implant ( known as “ Sofacy ” or SOURFACE ) as their first stage malware , which at the time had similarities with the old Miniduke implants .' [/INST] [In:O, 2011-2012:S-TIME, ,:O, the:O, group:O, used:O, a:O, relatively:O, tiny:O, implant:O, (:O, known:O, as:O, “:O, Sofacy:S-APT, ”:O, or:O, SOURFACE:S-APT, ):O, as:O, their:O, first:O, stage:O, malware:O, ,:O, which:O, at:O, the:O, time:O, had:O, similarities:O, with:O, the:O, old:O, Miniduke:O, implants:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 made us believe the two groups were connected , although it looks they split ways at a certain point , with the original Miniduke group switching to the CosmicDuke implant in 2014 .' [/INST] [This:O, made:O, us:O, believe:O, the:O, two:O, groups:O, were:O, connected:O, ,:O, although:O, it:O, looks:O, they:O, split:O, ways:O, at:O, a:O, certain:O, point:O, ,:O, with:O, the:O, original:O, Miniduke:S-APT, group:O, switching:O, to:O, the:O, CosmicDuke:S-MAL, implant:O, in:O, 2014:S-TIME, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 division in malware was consistent and definitive at that point .' [/INST] [The:O, division:O, in:O, malware:O, was:O, consistent:O, and:O, definitive:O, at:O, that:O, point:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2013 , the Sofacy group expanded their arsenal and added more backdoors and tools , including CORESHELL , SPLM ( aka Xagent , aka CHOPSTICK ) , JHUHUGIT ( which is built with code from the Carberp sources ) , AZZY ( aka ADVSTORESHELL , NETUI , EVILTOSS , and spans across 4-5 generations ) and a few others .' [/INST] [In:O, 2013:S-TIME, ,:O, the:O, Sofacy:S-APT, group:O, expanded:O, their:O, arsenal:O, and:O, added:O, more:O, backdoors:O, and:O, tools:O, ,:O, including:O, CORESHELL:S-MAL, ,:O, SPLM:S-MAL, (:O, aka:O, Xagent:S-MAL, ,:O, aka:O, CHOPSTICK:S-MAL, ):O, ,:O, JHUHUGIT:S-MAL, (:O, which:O, is:O, built:O, with:O, code:O, from:O, the:O, Carberp:S-MAL, sources:O, ):O, ,:O, AZZY:S-MAL, (:O, aka:O, ADVSTORESHELL:S-MAL, ,:O, NETUI:S-MAL, ,:O, EVILTOSS:S-MAL, ,:O, and:O, spans:O, across:O, 4-5:O, generations:O, ):O, and:O, a:O, few:O, others:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 ’ve seen quite a few versions of these implants , which were relatively widespread at some point or still are .' [/INST] [We:O, ’ve:O, seen:O, quite:O, a:O, few:O, versions:O, of:O, these:O, implants:O, ,:O, which:O, were:O, relatively:O, widespread:O, at:O, some:O, point:O, or:O, still:O, are:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2015 we noticed another wave of attacks which took advantage of a new release of the AZZY implant , largely undetected by antivirus products .' [/INST] [In:O, 2015:S-TIME, we:O, noticed:O, another:O, wave:O, of:O, attacks:O, which:O, took:O, advantage:O, of:O, a:O, new:O, release:O, of:O, the:O, AZZY:S-MAL, implant:O, ,:O, largely:O, undetected:O, by:O, antivirus:O, products:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 new wave of attacks included a new generation of USB stealers deployed by Sofacy , with initial versions dating to February 2015 .' [/INST] [The:O, new:O, wave:O, of:O, attacks:O, included:O, a:O, new:O, generation:O, of:O, USB:B-MAL, stealers:E-MAL, deployed:O, by:O, Sofacy:S-APT, ,:O, with:O, initial:O, versions:O, dating:O, to:O, February:B-TIME, 2015:E-TIME, .:O] </s> |