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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: 'During one intrusion , it connected to multiple C2 domains on TCP port 80 , including mail . svrchost . com , using the following request .' [/INST] [During:O, one:O, intrusion:O, ,:O, it:O, connected:O, to:O, multiple:O, C2:S-TOOL, domains:O, on:O, TCP:S-PROT, port:O, 80:O, ,:O, including:O, mail:O, .:O, svrchost:O, .:O, com:O, ,:O, using:O, the:O, following: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: 'Subsequent Cobalt Strike C2 servers included subdomains of svchosts . com , svrchost . com , and strust . club .' [/INST] [Subsequent:O, Cobalt:B-TOOL, Strike:E-TOOL, C2:S-TOOL, servers:O, included:O, subdomains:O, of:O, svchosts:O, .:O, com:O, ,:O, svrchost:O, .:O, com:O, ,:O, and:O, strust:O, .:O, club:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Some BRONZE PRESIDENT C2 domains analyzed by CTU researchers were hosted on infrastructure owned by Dutch VPS provider Host Sailor , Hong Kong-based New World Telecoms , and Malaysia-based Shinjiru Technology ( see Figure 7 ) .' [/INST] [Some:O, BRONZE:B-APT, PRESIDENT:E-APT, C2:S-TOOL, domains:O, analyzed:O, by:O, CTU:S-SECTEAM, researchers:O, were:O, hosted:O, on:O, infrastructure:O, owned:O, by:O, Dutch:O, VPS:S-TOOL, provider:O, Host:O, Sailor:O, ,:O, Hong:O, Kong-based:O, New:O, World:O, Telecoms:O, ,:O, and:O, Malaysia-based:O, Shinjiru:O, Technology:O, (:O, see:O, Figure:O, 7: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 threat actors have used discrete infrastructure clusters that share matching hosting and registration characteristics .' [/INST] [The:O, threat:O, actors:O, have:O, used:O, discrete:O, infrastructure:O, clusters:O, that:O, share:O, matching:O, hosting:O, and:O, registration:O, characteristics:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 pattern of infrastructure hosting suggests that the group parks its domains when not in use , an operational security technique that limits exposure of the group's overall hosting infrastructure .' [/INST] [The:O, pattern:O, of:O, infrastructure:O, hosting:O, suggests:O, that:O, the:O, group:O, parks:O, its:O, domains:O, when:O, not:O, in:O, use:O, ,:O, an:O, operational:O, security:O, technique:O, that:O, limits:O, exposure:O, of:O, the:O, group's:O, overall:O, hosting: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: 'Some of BRONZE PRESIDENT 's malware has persistence capabilities .' [/INST] [Some:O, of:O, BRONZE:B-APT, PRESIDENT:E-APT, 's:O, malware:O, has:O, persistence:O, capabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'For example , ORat uses a WMI event consumer to maintain its presence on a compromised host .' [/INST] [For:O, example:O, ,:O, ORat:S-MAL, uses:O, a:O, WMI:S-TOOL, event:O, consumer:O, to:O, maintain:O, its:O, presence:O, on:O, a:O, compromised:O, 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 group also creates and maintains scheduled tasks to achieve this purpose .' [/INST] [The:O, group:O, also:O, creates:O, and:O, maintains:O, scheduled:O, tasks:O, to:O, achieve:O, this:O, purpose:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 8 shows a Sysdriver scheduled task that periodically executes a Cobalt Strike payload .' [/INST] [Figure:O, 8:O, shows:O, a:O, Sysdriver:O, scheduled:O, task:O, that:O, periodically:O, executes:O, a:O, Cobalt:B-TOOL, Strike:E-TOOL, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 threat actors tend to install malware on a large proportion of hosts during their intrusions .' [/INST] [The:O, threat:O, actors:O, tend:O, to:O, install:O, malware:O, on:O, a:O, large:O, proportion:O, of:O, hosts:O, during:O, their: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: 'However , the group exercises restraint and defensive evasion tactics to minimize opportunities for network defenders to detect or investigate its activities .' [/INST] [However:O, ,:O, the:O, group:O, exercises:O, restraint:O, and:O, defensive:O, evasion:O, tactics:O, to:O, minimize:O, opportunities:O, for:O, network:O, defenders:O, to:O, detect:O, or:O, investigate:O, its: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: 'For example , the threat actors deleted volume shadow copies after using them for NTDS.dit retrieval .' [/INST] [For:O, example:O, ,:O, the:O, threat:O, actors:O, deleted:O, volume:O, shadow:O, copies:O, after:O, using:O, them:O, for:O, NTDS.dit:S-FILE, retrieval:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'BRONZE PRESIDENT targets specific data types .' [/INST] [BRONZE:B-APT, PRESIDENT:E-APT, targets:O, specific:O, data:O, types:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 threat actors use custom batch scripts to create a list of files with predefined criteria and collate the identified files into a .rar archive ( see Figure 9 ) .' [/INST] [The:O, threat:O, actors:O, use:O, custom:O, batch:O, scripts:O, to:O, create:O, a:O, list:O, of:O, files:O, with:O, predefined:O, criteria:O, and:O, collate:O, the:O, identified:O, files:O, into:O, a:O, .rar:S-FILE, archive:O, (:O, see:O, Figure:O, 9: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: 'CTU researchers have observed BRONZE PRESIDENT batch scripts named doc.bat , xls.bat , xlsx.bat , ppt.bat , pptx.bat , pdf.bat , and txt.bat .' [/INST] [CTU:S-SECTEAM, researchers:O, have:O, observed:O, BRONZE:B-APT, PRESIDENT:E-APT, batch:O, scripts:O, named:O, doc.bat:S-FILE, ,:O, xls.bat:S-FILE, ,:O, xlsx.bat:S-FILE, ,:O, ppt.bat:S-FILE, ,:O, pptx.bat:S-FILE, ,:O, pdf.bat:S-FILE, ,:O, and:O, txt.bat: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 group also uses the all.bat batch script to collect all files stored on a specific user's desktop .' [/INST] [The:O, group:O, also:O, uses:O, the:O, all.bat:S-FILE, batch:O, script:O, to:O, collect:O, all:O, files:O, stored:O, on:O, a:O, specific:O, user's:O, desktop:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers observed RCSession and Cobalt Strike on systems that BRONZE PRESIDENT targeted for data theft .' [/INST] [CTU:S-SECTEAM, researchers:O, observed:O, RCSession:S-MAL, and:O, Cobalt:B-TOOL, Strike:E-TOOL, on:O, systems:O, that:O, BRONZE:B-APT, PRESIDENT:E-APT, targeted:O, for:O, data:O, theft:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Either of these tools could have been used to exfiltrate the archived data .' [/INST] [Either:O, of:O, these:O, tools:O, could:O, have:O, been:O, used:O, to:O, exfiltrate:O, the:O, archived: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: 'BRONZE PRESIDENT has demonstrated intent to steal data from organizations using tools such as Cobalt Strike , PlugX , ORat , and RCSession .' [/INST] [BRONZE:B-APT, PRESIDENT:E-APT, has:O, demonstrated:O, intent:O, to:O, steal:O, data:O, from:O, organizations:O, using:O, tools:O, such:O, as:O, Cobalt:B-TOOL, Strike:E-TOOL, ,:O, PlugX:S-MAL, ,:O, ORat:S-MAL, ,:O, and:O, RCSession: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: 'The concurrent use of so many tools during a single intrusion suggests that the group could include threat actors with distinct tactics , roles , and tool preferences .' [/INST] [The:O, concurrent:O, use:O, of:O, so:O, many:O, tools:O, during:O, a:O, single:O, intrusion:O, suggests:O, that:O, the:O, group:O, could:O, include:O, threat:O, actors:O, with:O, distinct:O, tactics:O, ,:O, roles:O, ,:O, and:O, tool:O, preferences:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 likely that BRONZE PRESIDENT has additional unobserved operational tools and capabilities .' [/INST] [It:O, is:O, likely:O, that:O, BRONZE:B-APT, PRESIDENT:E-APT, has:O, additional:O, unobserved:O, operational:O, tools:O, and:O, capabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'CTU researchers recommend that organizations apply controls to mitigate common intrusion techniques and behaviors along with controls that address the tools and techniques discussed in this analysis .' [/INST] [CTU:S-SECTEAM, researchers:O, recommend:O, that:O, organizations:O, apply:O, controls:O, to:O, mitigate:O, common:O, intrusion:O, techniques:O, and:O, behaviors:O, along:O, with:O, controls:O, that:O, address:O, the:O, tools:O, and:O, techniques:O, discussed:O, in:O, this:O, analysis:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'PlugX C2 server : ipsoftwarelabs.com .' [/INST] [PlugX:S-MAL, C2:S-TOOL, server:O, ::O, ipsoftwarelabs.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'RCSession C2 server : toshibadrive.com .' [/INST] [RCSession:S-MAL, C2:S-TOOL, server:O, ::O, toshibadrive.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'ORat and Cobalt Strike C2 server : strust.club .' [/INST] [ORat:S-MAL, and:O, Cobalt:B-TOOL, Strike:E-TOOL, C2:S-TOOL, server:O, ::O, strust.club:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cobalt Strike C2 server : svchosts.com , svrhosts.com .' [/INST] [Cobalt:B-TOOL, Strike:E-TOOL, C2:S-TOOL, server:O, ::O, svchosts.com:S-DOM, ,:O, svrhosts.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Cobalt Strike download location : 116.93.154.250 .' [/INST] [Cobalt:B-TOOL, Strike:E-TOOL, download:O, location:O, ::O, 116.93.154.250: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: 'ORat malware sample : a0758535cf8eb689782b95d3791d23d5 , 774a9c3ff01a3e734b7bec0c312120126295fad9 , 2e8762c984468ee309dad30a6c5f6d3308676ac721357da442a8a5b9d9d65d82 .' [/INST] [ORat:S-MAL, malware:O, sample:O, ::O, a0758535cf8eb689782b95d3791d23d5:S-MD5, ,:O, 774a9c3ff01a3e734b7bec0c312120126295fad9:S-SHA1, ,:O, 2e8762c984468ee309dad30a6c5f6d3308676ac721357da442a8a5b9d9d65d82: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: 'Cobalt Strike payload : 7101fff478290d4db8a1c11a8d3b40cb , 4c81777551a772218519fb6dd1a6672aade4a936 , bdf1452b55b9974f3e9a4aea4439769a02fd931660ed655df92519a2a4df1261 .' [/INST] [Cobalt:B-TOOL, Strike:E-TOOL, payload:O, ::O, 7101fff478290d4db8a1c11a8d3b40cb:S-MD5, ,:O, 4c81777551a772218519fb6dd1a6672aade4a936:S-SHA1, ,:O, bdf1452b55b9974f3e9a4aea4439769a02fd931660ed655df92519a2a4df1261: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: 'Modified DLL file ( goopdate.dll ) used by BRONZE PRESIDENT to install RCSession : 0617cad9e5d559356c43d4037c86227f , f14eaf5d648aebb2ed7b00b2cf4349263b30fb1c , 2ea9ccf653f63bcc3549a313ec9d0bada341556cc32dd2ca4b73e0c034492740 .' [/INST] [Modified:O, DLL:S-TOOL, file:O, (:O, goopdate.dll:S-FILE, ):O, used:O, by:O, BRONZE:B-APT, PRESIDENT:E-APT, to:O, install:O, RCSession:S-MAL, ::O, 0617cad9e5d559356c43d4037c86227f:S-MD5, ,:O, f14eaf5d648aebb2ed7b00b2cf4349263b30fb1c:S-SHA1, ,:O, 2ea9ccf653f63bcc3549a313ec9d0bada341556cc32dd2ca4b73e0c034492740: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: 'Operation AppleJeus Sequel , Lazarus continues to attack the cryptocurrency business with enhanced capabilities .' [/INST] [Operation:O, AppleJeus:S-ACT, Sequel:O, ,:O, Lazarus:S-APT, continues:O, to:O, attack:O, the:O, cryptocurrency:O, business:O, with:O, enhanced:O, capabilities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Lazarus group is currently one of the most active and prolific APT actors .' [/INST] [The:O, Lazarus:S-APT, group:O, is:O, currently:O, one:O, of:O, the:O, most:O, active:O, and:O, prolific:O, APT:O, actors:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2018 , Kaspersky published a report on one of their campaigns , named Operation AppleJeus .' [/INST] [In:O, 2018:S-TIME, ,:O, Kaspersky:O, published:O, a:O, report:O, on:O, one:O, of:O, their:O, campaigns:O, ,:O, named:O, Operation:O, AppleJeus: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: 'Notably , this operation marked the first time Lazarus had targeted macOS users , with the group inventing a fake company in order to deliver their manipulated application and exploit the high level of trust among potential victims .' [/INST] [Notably:O, ,:O, this:O, operation:O, marked:O, the:O, first:O, time:O, Lazarus:S-APT, had:O, targeted:O, macOS:S-OS, users:O, ,:O, with:O, the:O, group:O, inventing:O, a:O, fake:O, company:O, in:O, order:O, to:O, deliver:O, their:O, manipulated:O, application:O, and:O, exploit:O, the:O, high:O, level:O, of:O, trust:O, among:O, potential:O, victims:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'As a result of our ongoing efforts , we identified significant changes to the group ’s attack methodology .' [/INST] [As:O, a:O, result:O, of:O, our:O, ongoing:O, efforts:O, ,:O, we:O, identified:O, significant:O, changes:O, to:O, the:O, group:O, ’s:O, attack:O, methodology:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attack macOS users , the Lazarus group has developed homemade macOS malware , and added an authentication mechanism to deliver the next stage payload very carefully , as well as loading the next-stage payload without touching the disk .' [/INST] [To:O, attack:O, macOS:S-OS, users:O, ,:O, the:O, Lazarus:S-APT, group:O, has:O, developed:O, homemade:O, macOS:S-OS, malware:O, ,:O, and:O, added:O, an:O, authentication:O, mechanism:O, to:O, deliver:O, the:O, next:O, stage:O, payload:O, very:O, carefully:O, ,:O, as:O, well:O, as:O, loading:O, the:O, next-stage:O, payload:O, without:O, touching:O, the:O, disk:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attack Windows users , they have elaborated a multi-stage infection procedure , and significantly changed the final payload .' [/INST] [In:O, addition:O, ,:O, to:O, attack:O, Windows:S-OS, users:O, ,:O, they:O, have:O, elaborated:O, a:O, multi-stage:O, infection:O, procedure:O, ,:O, and:O, significantly:O, changed:O, the:O, final:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 assess that the Lazarus group has been more careful in its attacks following the release of Operation AppleJeus and they have employed a number of methods to avoid being detected .' [/INST] [We:O, assess:O, that:O, the:O, Lazarus:S-APT, group:O, has:O, been:O, more:O, careful:O, in:O, its:O, attacks:O, following:O, the:O, release:O, of:O, Operation:O, AppleJeus:S-ACT, and:O, they:O, have:O, employed:O, a:O, number:O, of:O, methods:O, to:O, avoid:O, being:O, detected:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 releasing Operation AppleJeus , the Lazarus group continued to use a similar modus operandi in order to compromise cryptocurrency businesses .' [/INST] [After:O, releasing:O, Operation:O, AppleJeus:S-ACT, ,:O, the:O, Lazarus:S-APT, group:O, continued:O, to:O, use:O, a:O, similar:O, modus:O, operandi:O, in:O, order:O, to:O, compromise:O, cryptocurrency:O, businesses:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 found more macOS malware similar to that used in the original Operation AppleJeus case .' [/INST] [We:O, found:O, more:O, macOS:S-OS, malware:O, similar:O, to:O, that:O, used:O, in:O, the:O, original:O, Operation:O, AppleJeus:S-ACT, case:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 macOS malware used public source code in order to build crafted macOS installers .' [/INST] [This:O, macOS:S-OS, malware:O, used:O, public:O, source:O, code:O, in:O, order:O, to:O, build:O, crafted:O, macOS:S-OS, installers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The malware authors used QtBitcoinTrader developed by Centrabit .' [/INST] [The:O, malware:O, authors:O, used:O, QtBitcoinTrader:S-TOOL, developed:O, by:O, Centrabit: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: 'These three macOS installers use a similar post installer script in order to implant a mach-o payload , as well as using the same command-line argument when executing the fetched second-stage payload .' [/INST] [These:O, three:O, macOS:S-OS, installers:O, use:O, a:O, similar:O, post:O, installer:O, script:O, in:O, order:O, to:O, implant:O, a:O, mach-o:S-TOOL, payload:O, ,:O, as:O, well:O, as:O, using:O, the:O, same:O, command-line:O, argument:O, when:O, executing:O, the:O, fetched:O, second-stage:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , they have started changing their macOS malware .' [/INST] [However:O, ,:O, they:O, have:O, started:O, changing:O, their:O, macOS:S-OS, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We recognized a different type of macOS malware , MarkMakingBot.dmg ( be37637d8f6c1fbe7f3ffc702afdfe1d ) , created on 2019-03-12 .' [/INST] [We:O, recognized:O, a:O, different:O, type:O, of:O, macOS:S-OS, malware:O, ,:O, MarkMakingBot.dmg:S-FILE, (:O, be37637d8f6c1fbe7f3ffc702afdfe1d:S-MD5, ):O, ,:O, created:O, on:O, 2019-03-12: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: 'It doesn’t have an encryption/decryption routine for network communication .' [/INST] [It:O, doesn’t:O, have:O, an:O, encryption/decryption:O, routine:O, for:O, network:O, communication:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 speculate that this is an intermediate stage in significant changes to their macOS malware .' [/INST] [We:O, speculate:O, that:O, this:O, is:O, an:O, intermediate:O, stage:O, in:O, significant:O, changes:O, to:O, their:O, macOS:S-OS, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'During our ongoing tracking of this campaign , we found that one victim was compromised by Windows AppleJeus malware in March 2019 .' [/INST] [During:O, our:O, ongoing:O, tracking:O, of:O, this:O, campaign:O, ,:O, we:O, found:O, that:O, one:O, victim:O, was:O, compromised:O, by:O, Windows:S-OS, AppleJeus:S-ACT, malware: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: 'Unfortunately , we couldn’t identify the initial installer , but we established that the infection started from a malicious file named WFCUpdater.exe .' [/INST] [Unfortunately:O, ,:O, we:O, couldn’t:O, identify:O, the:O, initial:O, installer:O, ,:O, but:O, we:O, established:O, that:O, the:O, infection:O, started:O, from:O, a:O, malicious:O, file:O, named:O, WFCUpdater.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: 'At that time , the actor used a fake website : wfcwallet.com .' [/INST] [At:O, that:O, time:O, ,:O, the:O, actor:O, used:O, a:O, fake:O, website:O, ::O, wfcwallet.com:S-DOM, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 used a multi-stage infection like before , but the method was different .' [/INST] [The:O, actor:O, used:O, a:O, multi-stage:O, infection:O, like:O, before:O, ,:O, but:O, the:O, method:O, was:O, different:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 infection started from .NET malware , disguised as a WFC wallet updater ( a9e960948fdac81579d3b752e49aceda ) .' [/INST] [The:O, infection:O, started:O, from:O, .NET:S-ACT, malware:O, ,:O, disguised:O, as:O, a:O, WFC:S-IDTY, wallet:O, updater:O, (:O, a9e960948fdac81579d3b752e49aceda:S-MD5, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Upon execution , this .NET executable checks whether the command line argument is “ /Embedding ” or not .' [/INST] [Upon:O, execution:O, ,:O, this:O, .NET:S-FILE, executable:O, checks:O, whether:O, the:O, command:O, line:O, argument:O, is:O, “:O, /Embedding:O, ”:O, or:O, not:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This malware is responsible for decrypting the WFC.cfg file in the same folder with a hardcoded 20-byte XOR key .' [/INST] [This:O, malware:O, is:O, responsible:O, for:O, decrypting:O, the:O, WFC.cfg:S-FILE, file:O, in:O, the:O, same:O, folder:O, with:O, a:O, hardcoded:O, 20-byte:O, XOR:S-ENCR, key:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 mimics the wallet updater connected to the C2 addresses : wfcwallet.com ( resolved ip : 108.174.195.134 ) , www.chainfun365.com ( resolved ip : 23.254.217.53 ) .' [/INST] [This:O, mimics:O, the:O, wallet:O, updater:O, connected:O, to:O, the:O, C2:S-TOOL, addresses:O, ::O, wfcwallet.com:S-DOM, (:O, resolved:O, ip:O, ::O, 108.174.195.134:S-IP, ):O, ,:O, www.chainfun365.com:S-DOM, (:O, resolved:O, ip:O, ::O, 23.254.217.53: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: 'After that , it carries out the malware operator ’s commands in order to install the next stage permanent payload .' [/INST] [After:O, that:O, ,:O, it:O, carries:O, out:O, the:O, malware:O, operator:O, ’s:O, commands:O, in:O, order:O, to:O, install:O, the:O, next:O, stage:O, permanent:O, payload:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 delivered two more files into the victim ’s system folder : rasext.dll and msctfp.dat .' [/INST] [The:O, actor:O, delivered:O, two:O, more:O, files:O, into:O, the:O, victim:O, ’s:O, system:O, folder:O, ::O, rasext.dll:S-FILE, and:O, msctfp.dat: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: 'They used the RasMan ( Remote Access Connection Manager ) Windows service to register the next payload with a persistence mechanism .' [/INST] [They:O, used:O, the:O, RasMan:S-TOOL, (:O, Remote:B-TOOL, Access:I-TOOL, Connection:I-TOOL, Manager:E-TOOL, ):O, Windows:S-OS, service:O, to:O, register:O, the:O, next:O, payload:O, with:O, a:O, persistence:O, mechanism:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 fundamental reconnaissance , the malware operator implanted the delivered payload by manually using the following commands :' [/INST] [After:O, fundamental:O, reconnaissance:O, ,:O, the:O, malware:O, operator:O, implanted:O, the:O, delivered:O, payload:O, by:O, manually:O, using:O, the:O, following: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: 'cmd.exe /c dir rasext.dll , cmd.exe /c dir msctfp.dat , cmd.exe /c tasklist /svc | findstr RasMan , cmd.exe /c reg add HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\services\RasMan\ThirdParty /v DllName /d rasext.dll /f .' [/INST] [cmd.exe:S-FILE, /c:O, dir:O, rasext.dll:S-FILE, ,:O, cmd.exe:S-FILE, /c:O, dir:O, msctfp.dat:S-FILE, ,:O, cmd.exe:S-FILE, /c:O, tasklist:O, /svc:O, |:O, findstr:O, RasMan:S-TOOL, ,:O, cmd.exe:S-FILE, /c:O, reg:O, add:O, HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\services\RasMan\ThirdParty:O, /v:O, DllName:O, /d:O, rasext.dll:S-FILE, /f:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 order to establish remote tunneling , the actor delivered more tools , executing with command-line parameters .' [/INST] [In:O, order:O, to:O, establish:O, remote:O, tunneling:O, ,:O, the:O, actor:O, delivered:O, more:O, tools:O, ,:O, executing:O, with:O, command-line:O, parameters:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Unfortunately , we have had no chance to obtain this file , but we speculate that Device.exe is responsible for opening port 6378 , and the CenterUpdater.exe tool was used for creating tunneling to a remote host .' [/INST] [Unfortunately:O, ,:O, we:O, have:O, had:O, no:O, chance:O, to:O, obtain:O, this:O, file:O, ,:O, but:O, we:O, speculate:O, that:O, Device.exe:S-FILE, is:O, responsible:O, for:O, opening:O, port:O, 6378:O, ,:O, and:O, the:O, CenterUpdater.exe:S-FILE, tool:O, was:O, used:O, for:O, creating:O, tunneling:O, to:O, a:O, remote:O, 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: 'Note that the 104.168.167.16 server is used as a C2 server .' [/INST] [Note:O, that:O, the:O, 104.168.167.16:S-IP, server:O, is:O, used:O, as:O, a:O, C2:S-TOOL, 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 fake website hosting server for the UnionCryptoTrader case will be described next .' [/INST] [The:O, fake:O, website:O, hosting:O, server:O, for:O, the:O, UnionCryptoTrader:S-TOOL, case:O, will:O, be:O, described:O, next:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We also found a Windows version of the UnionCryptoTrader ( 0f03ec3487578cef2398b5b732631fec ) .' [/INST] [We:O, also:O, found:O, a:O, Windows:S-OS, version:O, of:O, the:O, UnionCryptoTrader:S-TOOL, (:O, 0f03ec3487578cef2398b5b732631fec:S-MD5, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 was executed from the Telegram messenger download folder :' [/INST] [It:O, was:O, executed:O, from:O, the:O, Telegram:S-TOOL, messenger:O, download:O, folder:O, ::O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'C:\Users\[user name]\Downloads\Telegram Desktop\UnionCryptoTraderSetup.exe .' [/INST] [C:\Users\[user:O, name]\Downloads\Telegram:O, Desktop\UnionCryptoTraderSetup.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: 'We also found the actor ’s Telegram group on their fake website .' [/INST] [We:O, also:O, found:O, the:O, actor:O, ’s:O, Telegram:S-TOOL, group:O, on:O, their:O, fake:O, website:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 these , we assess with high confidence that the actor delivered the manipulated installer using the Telegram messenger .' [/INST] [Based:O, on:O, these:O, ,:O, we:O, assess:O, with:O, high:O, confidence:O, that:O, the:O, actor:O, delivered:O, the:O, manipulated:O, installer:O, using:O, the:O, Telegram:S-TOOL, messenger:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Unfortunately , we can’t get all the related files as some payloads were only executed in memory .' [/INST] [Unfortunately:O, ,:O, we:O, can’t:O, get:O, all:O, the:O, related:O, files:O, as:O, some:O, payloads:O, were:O, only:O, executed:O, in:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 , we can reassemble the whole infection procedure based on our telemetry .' [/INST] [However:O, ,:O, we:O, can:O, reassemble:O, the:O, whole:O, infection:O, procedure:O, based:O, on:O, our:O, telemetry:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 overall infection procedure was very similar to the WFCWallet case , but with an added injection procedure , and they only used the final backdoor payload instead of using a tunneling tool .' [/INST] [The:O, overall:O, infection:O, procedure:O, was:O, very:O, similar:O, to:O, the:O, WFCWallet:S-TOOL, case:O, ,:O, but:O, with:O, an:O, added:O, injection:O, procedure:O, ,:O, and:O, they:O, only:O, used:O, the:O, final:O, backdoor:O, payload:O, instead:O, of:O, using:O, a:O, tunneling:O, 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: 'The UnionCryptoTrader Windows version has the following window showing a price chart for several cryptocurrency exchanges .' [/INST] [The:O, UnionCryptoTrader:S-TOOL, Windows:S-OS, version:O, has:O, the:O, following:O, window:S-OS, showing:O, a:O, price:O, chart:O, for:O, several:O, cryptocurrency:O, exchanges:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Windows version of UnionCryptoTrader updater ( 629b9de3e4b84b4a0aa605a3e9471b31 ) has similar functionality to the macOS version .' [/INST] [The:O, Windows:S-OS, version:O, of:O, UnionCryptoTrader:S-TOOL, updater:O, (:O, 629b9de3e4b84b4a0aa605a3e9471b31:S-MD5, ):O, has:O, similar:O, functionality:O, to:O, the:O, macOS:S-OS, 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: 'According to the build path ( Z:\Loader\x64\Release\WinloaderExe.pdb ) , the malware author called this malware a loader .' [/INST] [According:O, to:O, the:O, build:O, path:O, (:O, Z:\Loader\x64\Release\WinloaderExe.pdb:O, ):O, ,:O, the:O, malware:O, author:O, called:O, this:O, malware:O, a:O, loader:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Upon launch , the malware retrieves the victim ’s basic system information , sending it in the following HTTP POST format , as is the case with the macOS malware .' [/INST] [Upon:O, launch:O, ,:O, the:O, malware:O, retrieves:O, the:O, victim:O, ’s:O, basic:O, system:O, information:O, ,:O, sending:O, it:O, in:O, the:O, following:O, HTTP:S-PROT, POST:O, format:O, ,:O, as:O, is:O, the:O, case:O, with:O, the:O, macOS:S-OS, malware:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'If the response code from the C2 server is 200 , the malware decrypts the payload and loads it in memory .' [/INST] [If:O, the:O, response:O, code:O, from:O, the:O, C2:S-TOOL, server:O, is:O, 200:O, ,:O, the:O, malware:O, decrypts:O, the:O, payload:O, and:O, loads:O, it:O, in:O, memory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Finally , the malware sends the act=done value and return code .' [/INST] [Finally:O, ,:O, the:O, malware:O, sends:O, the:O, act=done:O, value:O, and:O, return:O, code:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The next stage payload ( e1953fa319cc11c2f003ad0542bca822 ) , downloaded from this loader , is similar to the .NET downloader in the WFCWallet case .' [/INST] [The:O, next:O, stage:O, payload:O, (:O, e1953fa319cc11c2f003ad0542bca822:S-MD5, ):O, ,:O, downloaded:O, from:O, this:O, loader:O, ,:O, is:O, similar:O, to:O, the:O, .NET:S-TOOL, downloader:O, in:O, the:O, WFCWallet:S-TOOL, case:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This malware is responsible for decrypting the Adobe.icx file in the same folder .' [/INST] [This:O, malware:O, is:O, responsible:O, for:O, decrypting:O, the:O, Adobe.icx:S-FILE, file:O, in:O, the:O, same:O, folder:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 injects the next payload into the Internet Explorer process , and the tainted iexplore.exe process carries out the attacker ’s commands .' [/INST] [It:O, injects:O, the:O, next:O, payload:O, into:O, the:O, Internet:O, Explorer:O, process:O, ,:O, and:O, the:O, tainted:O, iexplore.exe:S-FILE, process:O, carries:O, out:O, the:O, attacker:O, ’s: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 final payload ( dd03c6eb62c9bf9adaf831f1d7adcbab ) is implanted manually as in the WFCWallet case .' [/INST] [The:O, final:O, payload:O, (:O, dd03c6eb62c9bf9adaf831f1d7adcbab:S-MD5, ):O, is:O, implanted:O, manually:O, as:O, in:O, the:O, WFCWallet:S-TOOL, case:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 final payload was designed to run only on certain systems .' [/INST] [This:O, final:O, payload:O, was:O, designed:O, to:O, run:O, only:O, on:O, certain: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: 'It seems that the malware authors produced and delivered malware that only works on specific systems based on previously collected information .' [/INST] [It:O, seems:O, that:O, the:O, malware:O, authors:O, produced:O, and:O, delivered:O, malware:O, that:O, only:O, works:O, on:O, specific:O, systems:O, based:O, on:O, previously:O, collected: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: 'The malware checks the infected system ’s information and compares it to a given value .' [/INST] [The:O, malware:O, checks:O, the:O, infected:O, system:O, ’s:O, information:O, and:O, compares:O, it:O, to:O, a:O, given:O, value:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 seems the actor wants to execute the final payload very carefully , and wants to evade detection by behavior-based detection solutions .' [/INST] [It:O, seems:O, the:O, actor:O, wants:O, to:O, execute:O, the:O, final:O, payload:O, very:O, carefully:O, ,:O, and:O, wants:O, to:O, evade:O, detection:O, by:O, behavior-based:O, detection:O, 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: 'This Windows malware loads the encrypted msctfp.dat file in a system folder , and loads each configuration value .' [/INST] [This:O, Windows:S-OS, malware:O, loads:O, the:O, encrypted:O, msctfp.dat:S-FILE, file:O, in:O, a:O, system:O, folder:O, ,:O, and:O, loads:O, each:O, configuration:O, value:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Then it executes an additional command based on the contents of this file .' [/INST] [Then:O, it:O, executes:O, an:O, additional:O, command:O, based:O, on:O, the:O, contents:O, of:O, this:O, file:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'When the malware communicates with the C2 server , it uses a POST request with several predefined headers .' [/INST] [When:O, the:O, malware:O, communicates:O, with:O, the:O, C2:S-TOOL, server:O, ,:O, it:O, uses:O, a:O, POST:O, request:O, with:O, several:O, predefined:O, headers:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Finally , the malware downloads the next stage payload , decrypting it and possibly executing it with the Print parameter .' [/INST] [Finally:O, ,:O, the:O, malware:O, downloads:O, the:O, next:O, stage:O, payload:O, ,:O, decrypting:O, it:O, and:O, possibly:O, executing:O, it:O, with:O, the:O, Print:O, parameter:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 speculate that the DLL type payload will be downloaded and call its Print export function for further infection .' [/INST] [We:O, speculate:O, that:O, the:O, DLL:S-TOOL, type:O, payload:O, will:O, be:O, downloaded:O, and:O, call:O, its:O, Print:O, export:O, function:O, for:O, further:O, infection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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’t get hold of the final payload that ’s executed in memory , but we believe its backdoor-type malware is ultimately used to control the infected victim .' [/INST] [We:O, can’t:O, get:O, hold:O, of:O, the:O, final:O, payload:O, that:O, ’s:O, executed:O, in:O, memory:O, ,:O, but:O, we:O, believe:O, its:O, backdoor-type:O, malware:O, is:O, ultimately:O, used:O, to:O, control:O, the:O, infected:O, victim:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We were able to identify several victims in this Operation AppleJeus sequel .' [/INST] [We:O, were:O, able:O, to:O, identify:O, several:O, victims:O, in:O, this:O, Operation:O, AppleJeus:S-ACT, sequel:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Victims were recorded in the UK , Poland , Russia and China .' [/INST] [Victims:O, were:O, recorded:O, in:O, the:O, UK:S-LOC, ,:O, Poland:S-LOC, ,:O, Russia:S-LOC, and:O, China: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: 'Moreover , we were able to confirm that several of the victims are linked to cryptocurrency business entities .' [/INST] [Moreover:O, ,:O, we:O, were:O, able:O, to:O, confirm:O, that:O, several:O, of:O, the:O, victims:O, are:O, linked:O, to:O, cryptocurrency:O, business:O, entities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 altered their macOS and Windows malware considerably , adding an authentication mechanism in the macOS downloader and changing the macOS development framework .' [/INST] [The:O, actor:O, altered:O, their:O, macOS:S-OS, and:O, Windows:S-OS, malware:O, considerably:O, ,:O, adding:O, an:O, authentication:O, mechanism:O, in:O, the:O, macOS:S-OS, downloader:O, and:O, changing:O, the:O, macOS:S-OS, development:O, framework:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 binary infection procedure in the Windows system differed from the previous case .' [/INST] [The:O, binary:O, infection:O, procedure:O, in:O, the:O, Windows:S-OS, system:O, differed:O, from:O, the:O, previous:O, case:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 also changed the final Windows payload significantly from the well-known Fallchill malware used in the previous attack .' [/INST] [They:O, also:O, changed:O, the:O, final:O, Windows:S-OS, payload:O, significantly:O, from:O, the:O, well-known:O, Fallchill:S-MAL, malware:O, used:O, in:O, the:O, previous:O, attack:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We believe the Lazarus group ’s continuous attacks for financial gain are unlikely to stop anytime soon .' [/INST] [We:O, believe:O, the:O, Lazarus:S-APT, group:O, ’s:O, continuous:O, attacks:O, for:O, financial:O, gain:O, are:O, unlikely:O, to:O, stop:O, anytime:O, soon:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the initial appearance of Operation AppleJeus , we can see that over time the authors have changed their modus operandi considerably .' [/INST] [Since:O, the:O, initial:O, appearance:O, of:O, Operation:O, AppleJeus:S-ACT, ,:O, we:O, can:O, see:O, that:O, over:O, time:O, the:O, authors:O, have:O, changed:O, their:O, modus:O, operandi:O, considerably:O, .:O] </s> |
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