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<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The data that is sent in the POST is serialized with json , which is then is encrypted , and finally encoded in base64 .' [/INST] [The:O, data:O, that:O, is:O, sent:O, in:O, the:O, POST:O, is:O, serialized:O, with:O, json:S-TOOL, ,:O, which:O, is:O, then:O, is:O, encrypted:O, ,:O, and:O, finally:O, encoded:O, in:O, base64:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 json format is typically { “mth ” :' [/INST] [The:O, json:S-TOOL, format:O, is:O, typically:O, {:O, “mth: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: '” some_method ” , “ data ” :' [/INST] [”:O, some_method:O, ”:O, ,:O, “:O, data: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: '” some_encrypted_data ” } .' [/INST] [”:O, some_encrypted_data:O, ”: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 server responds using the same format and serialization/encryption/encoding .' [/INST] [The:O, server:E-TOOL, responds:O, using:O, the:O, same:O, format:O, and:O, serialization/encryption/encoding:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 described in earlier analyses , Downeks ’ main purpose is as a downloader .' [/INST] [As:O, described:O, in:O, earlier:O, analyses:O, ,:O, Downeks:S-MAL, ’:O, main:O, purpose:O, is:O, as:O, a:O, downloader:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 were unable to get any servers to issue download commands to any samples that we tested in our lab .' [/INST] [Unfortunately:O, ,:O, we:O, were:O, unable:O, to:O, get:O, any:O, servers:E-TOOL, to:O, issue:O, download:O, commands:O, to:O, any:O, samples:O, that:O, we:O, tested:O, in:O, our:O, lab:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 download is initiated upon receiving json with a “ download ” command , which includes the URL of the file to be downloaded .' [/INST] [The:O, download:O, is:O, initiated:O, upon:O, receiving:O, json:O, with:O, a:O, “:O, download:O, ”:O, command:O, ,:O, which:O, includes:O, the:O, URL:O, of:O, the:O, file:O, to:O, be:O, downloaded:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Downeks can also be instructed to execute binaries that already exist on the victim machine .' [/INST] [Downeks:S-MAL, can:O, also:O, be:O, instructed:O, to:O, execute:O, binaries:O, that:O, already:O, exist:O, on:O, the:O, victim:O, machine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 successful execution , Downeks returns the results to the server .' [/INST] [After:O, successful:O, execution:O, ,:O, Downeks:S-MAL, returns:O, the:O, results:O, to:O, the:O, server: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: 'Downeks also has a self-update capability , if instructed by the C2 .' [/INST] [Downeks:S-MAL, also:O, has:O, a:O, self-update:O, capability:O, ,:O, if:O, instructed:O, by:O, the:O, C2: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: 'Downeks can be instructed with the “ img ” command to capture the victim screen and transmit it back to the C2 .' [/INST] [Downeks:S-MAL, can:O, be:O, instructed:O, with:O, the:B-TOOL, “:I-TOOL, img:I-TOOL, ”:I-TOOL, command:E-TOOL, to:O, capture:O, the:O, victim:O, screen:O, and:O, transmit:O, it:O, back:O, to:O, the:O, C2:S-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The parameters “ wth ” and “ qlt ” specify “ width ” and “ quality ” .' [/INST] [The:O, parameters:O, “:O, wth:O, ”:O, and:O, “:O, qlt:O, ”:O, specify:O, “:O, width:O, ”:O, and:O, “:O, quality: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: 'Downeks .NET creates a file in the “ Appdata ” directory , based on certain properties of the machine .' [/INST] [Downeks:B-MAL, .NET:E-MAL, creates:O, a:O, file:O, in:O, the:O, “:O, Appdata:O, ”:O, directory:O, ,:O, based:O, on:O, certain:O, properties:O, of:O, the:O, machine:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 analysis , Downeks created a file in “ Appdata\Roaming ” containing only “ SD{new line} 0 ” ( “ SD ” possibly for “ SharpDownloader ” ) .' [/INST] [During:O, our:O, analysis:O, ,:O, Downeks:S-MAL, created:O, a:O, file:O, in:O, “:O, Appdata\Roaming:O, ”:O, containing:O, only:O, “:O, SD{new:O, line}:O, 0:O, ”:O, (:O, “:O, SD:O, ”:O, possibly:O, for:O, “:O, SharpDownloader:O, ”: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: 'Although this file itself is not particularly interesting , the older ( native ) Downeks versions also creates a file in Appdata\Roaming , with identical data .' [/INST] [Although:O, this:O, file:O, itself:O, is:O, not:O, particularly:O, interesting:O, ,:O, the:O, older:O, (:O, native:O, ):O, Downeks:S-MAL, versions:O, also:O, creates:O, a:O, file:O, in:O, Appdata\Roaming:S-TOOL, ,:O, with:O, identical:O, data:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The filenames across the two variants bear striking similarities .' [/INST] [The:O, filenames:O, across:O, the:O, two:O, variants:O, bear:O, striking:O, similarities:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 .NET variant creates “ 1FABFBFF0000065132F71D94 ” , while the native version creates “ 000206511FABFBFF ” .' [/INST] [The:O, .NET:S-TOOL, variant:O, creates:O, “:O, 1FABFBFF0000065132F71D94:S-SHA2, ”:O, ,:O, while:O, the:O, native:O, version:O, creates:O, “:O, 000206511FABFBFF:S-SHA2, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the string “ 1FABFBFF0000065132F71D94 ” in memory during debugging of the native variant .' [/INST] [We:O, observed:O, the:O, string:O, “:O, 1FABFBFF0000065132F71D94:S-SHA2, ”:O, in:O, memory:O, during:O, debugging:O, of:O, the:O, native:O, variant:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 a pseudo-unique ID for each machine , based on install date taken from the registry , volume serial number , OS version and service pack , Processor architecture , and computer name .' [/INST] [This:O, is:O, a:O, pseudo-unique:O, ID:O, for:O, each:O, machine:O, ,:O, based:O, on:O, install:O, date:O, taken:O, from:O, the:O, registry:O, ,:O, volume:O, serial:O, number:O, ,:O, OS:O, version:O, and:O, service:O, pack:O, ,:O, Processor:O, architecture:O, ,:O, and:O, computer: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: 'Downeks enumerates any antivirus products installed on the victim machine and transmits the list to the C2 .' [/INST] [Downeks:S-MAL, enumerates:O, any:O, antivirus:O, products:O, installed:O, on:O, the:O, victim:O, machine:O, and:O, transmits:O, the:O, list:O, to:O, the:O, C2: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: 'It constructs this list using the WMI query : “SELECT displayName FROM AntivirusProduct ” .' [/INST] [It:O, constructs:O, this:O, list:O, using:O, the:O, WMI:S-OS, query:O, ::O, “SELECT:O, displayName:O, FROM:O, AntivirusProduct: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: 'Downeks achieves host persistence through either the registry “ run ” key or with a shortcut in the start-up folder .' [/INST] [Downeks:S-MAL, achieves:O, host:O, persistence:O, through:O, either:O, the:O, registry:B-TOOL, “:I-TOOL, run:I-TOOL, ”:I-TOOL, key:E-TOOL, or:O, with:O, a:O, shortcut:B-TOOL, in:I-TOOL, the:I-TOOL, start-up:I-TOOL, folder:E-TOOL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In another similarity between both variants , Dowenks assesses the victim ’s external IP using an HTTP request to .' [/INST] [In:O, another:O, similarity:O, between:O, both:O, variants:O, ,:O, Dowenks:S-MAL, assesses:O, the:O, victim:O, ’s:O, external:O, IP:O, using:O, an:O, HTTP:B-TOOL, request:E-TOOL, to:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'com/raw .' [/INST] [com/raw:S-URL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Downeks can be instructed by the C2 to perform a few other commands :' [/INST] [Downeks:S-MAL, can:O, be:O, instructed:O, by:O, the:O, C2:S-TOOL, to:O, perform:O, a:O, few:O, other: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: 'Check if the computer name and user name , or external IP address , is in a provided list and if so , display a message box with a message as defined by the C2 .' [/INST] [Check:O, if:O, the:O, computer:O, name:O, and:O, user:O, name:O, ,:O, or:O, external:O, IP:S-PROT, address:O, ,:O, is:O, in:O, a:O, provided:O, list:O, and:O, if:O, so:O, ,:O, display:O, a:O, message:O, box:O, with:O, a:O, message:O, as:O, defined:O, by:O, the:O, C2: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: 'Kill any running process and attempt to delete the associated executable . “ Setup ” command – sends various info about the machine with each iteration of the C2 communications loop .' [/INST] [Kill:O, any:O, running:O, process:O, and:O, attempt:O, to:O, delete:O, the:O, associated:O, executable:O, .:O, “:O, Setup:O, ”:O, command:O, –:O, sends:O, various:O, info:O, about:O, the:O, machine:O, with:O, each:O, iteration:O, of:O, the:O, C2:S-TOOL, communications:O, loop:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Downeks has static encryption keys hardcoded in the code .' [/INST] [Downeks:S-MAL, has:O, static:O, encryption:O, keys:O, hardcoded:O, in:O, the:O, code:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Palo Alto Networks customers are protected from Downeks and Quasar used in this attack :' [/INST] [Palo:B-IDTY, Alto:I-IDTY, Networks:E-IDTY, customers:O, are:O, protected:O, from:O, Downeks:S-MAL, and:O, Quasar:S-MAL, used:O, in:O, this: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: 'WildFire properly classifies these Downeks and Quasar samples as malicious .' [/INST] [WildFire:S-TOOL, properly:O, classifies:O, these:O, Downeks:S-MAL, and:O, Quasar:S-MAL, samples:O, as:O, malicious:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Traps detects and blocks malicious behavior exhibited by new , unknown Quasar samples .' [/INST] [Traps:S-TOOL, detects:O, and:O, blocks:O, malicious:O, behavior:O, exhibited:O, by:O, new:O, ,:O, unknown:O, Quasar:S-MAL, samples:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'C2 servers associated with this activity are blocked through Threat Prevention DNS signatures .' [/INST] [C2:S-TOOL, servers:S-TOOL, associated:O, with:O, this:O, activity:O, are:O, blocked:O, through:O, Threat:O, Prevention:O, DNS:S-PROT, signatures:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'URI TERROR ATTACK & KASHMIR PROTEST THEMED SPEAR PHISHING emails TARGETING INDIAN EMBASSIES AND INDIAN MINISTRY OF EXTERNAL AFFAIRS - CYSINFO .' [/INST] [URI:B-ACT, TERROR:I-ACT, ATTACK:E-ACT, &:O, KASHMIR:S-LOC, PROTEST:O, THEMED:O, SPEAR:B-ACT, PHISHING:E-ACT, emails:S-TOOL, TARGETING:O, INDIAN:B-IDTY, EMBASSIES:E-IDTY, AND:O, INDIAN:B-IDTY, MINISTRY:I-IDTY, OF:I-IDTY, EXTERNAL:I-IDTY, AFFAIRS:E-IDTY, -:O, CYSINFO:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 my previous blog I posted details of a cyber attack targeting Indian government organizations .' [/INST] [In:O, my:O, previous:O, blog:O, I:O, posted:O, details:O, of:O, a:O, cyber:O, attack:O, targeting:O, Indian:B-IDTY, government:I-IDTY, organizations: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: 'This blog post describes another attack campaign where attackers used the Uri terror attack and Kashmir protest themed spear phishing email to target officials in the Indian Embassies and Indian Ministry of External Affairs ( MEA ) .' [/INST] [This:O, blog:O, post:O, describes:O, another:O, attack:O, campaign:O, where:O, attackers:O, used:O, the:O, Uri:B-ACT, terror:I-ACT, attack:E-ACT, and:O, Kashmir:S-LOC, protest:O, themed:O, spear:B-ACT, phishing:I-ACT, email:S-TOOL, to:O, target:O, officials:O, in:O, the:O, Indian:B-IDTY, Embassies:E-IDTY, and:O, Indian:B-IDTY, Ministry:I-IDTY, of:I-IDTY, External:I-IDTY, Affairs:E-IDTY, (:O, MEA:S-IDTY, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 infect the victims , the attackers distributed spear-phishing emails containing malicious word document which dropped a malware capable of spying on infected systems .' [/INST] [In:O, order:O, to:O, infect:O, the:O, victims:O, ,:O, the:O, attackers:O, distributed:O, spear-phishing:S-ACT, emails:S-TOOL, containing:O, malicious:B-TOOL, word:E-TOOL, document:O, which:O, dropped:O, a:O, malware:O, capable:O, of:O, spying:O, on:O, infected: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: 'The email purported to have been sent from legitimate email ids .' [/INST] [The:O, email:S-TOOL, purported:O, to:O, have:O, been:O, sent:O, from:O, legitimate:O, email:S-TOOL, ids:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The attackers spoofed the email ids associated with Indian Ministry of Home Affairs to send out email to the victims .' [/INST] [The:O, attackers:O, spoofed:O, the:O, email:S-TOOL, ids:O, associated:O, with:O, Indian:B-IDTY, Ministry:I-IDTY, of:I-IDTY, Home:I-IDTY, Affairs:E-IDTY, to:O, send:O, out:O, email:S-TOOL, to:O, the: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: 'Attackers also used the name of the top-ranking official associated with Minister of Home affairs in the signature of the email , this is to make it look like the email was sent by a high-ranking Government official associated with Ministry of Home Affairs ( MHA ) .' [/INST] [Attackers:O, also:O, used:O, the:O, name:B-TOOL, of:I-TOOL, the:I-TOOL, top-ranking:I-TOOL, official:E-TOOL, associated:O, with:O, Minister:B-IDTY, of:I-IDTY, Home:I-IDTY, affairs:E-IDTY, in:O, the:O, signature:O, of:O, the:O, email:S-TOOL, ,:O, this:O, is:O, to:O, make:O, it:O, look:O, like:O, the:O, email:S-TOOL, was:O, sent:O, by:O, a:O, high-ranking:O, Government:O, official:O, associated:O, with:O, Ministry:B-IDTY, of:I-IDTY, Home:I-IDTY, Affairs:E-IDTY, (:O, MHA:S-IDTY, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 The first wave of attack , The attackers spoofed an email id that is associated with Indian Ministry of Home Affairs ( MHA ) and an email was sent on September 20th , 2016 ( just 2 days after the Uri terror attack ) to an email id associated with the Indian Embassy in Japan .' [/INST] [In:O, the:O, The:O, first:O, wave:O, of:O, attack:O, ,:O, The:O, attackers:O, spoofed:O, an:O, email:S-TOOL, id:O, that:O, is:O, associated:O, with:O, Indian:O, Ministry:B-IDTY, of:I-IDTY, Home:I-IDTY, Affairs:E-IDTY, (:O, MHA:S-IDTY, ):O, and:O, an:O, email:S-TOOL, was:O, sent:O, on:O, September:B-TIME, 20th:I-TIME, ,:I-TIME, 2016:E-TIME, (:O, just:O, 2:O, days:O, after:O, the:O, Uri:B-ACT, terror:I-ACT, attack:E-ACT, ):O, to:O, an:O, email:S-TOOL, id:O, associated:O, with:O, the:O, Indian:B-IDTY, Embassy:E-IDTY, in:O, Japan: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: 'The email was made to look like as if an investigation report related to Uri terror attack was shared by the MHA official .' [/INST] [The:O, email:S-TOOL, was:O, made:O, to:O, look:O, like:O, as:O, if:O, an:O, investigation:O, report:O, related:O, to:O, Uri:B-ACT, terror:I-ACT, attack:E-ACT, was:O, shared:O, by:O, the:O, MHA:S-IDTY, official:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'On Sept 20th,2016 similar Uri Terror report themed email was also sent to an email id connected with Indian embassy in Thailand .' [/INST] [On:O, Sept:B-TIME, 20th,2016:E-TIME, similar:O, Uri:O, Terror:O, report:O, themed:O, email:S-TOOL, was:O, also:O, sent:O, to:O, an:O, email:S-TOOL, id:O, connected:O, with:O, Indian:B-IDTY, embassy:E-IDTY, in:O, Thailand: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: 'This email was later forwarded on Oct 24th,2016 from a spoofed email id which is associated with Thailand Indian embassy to various email recipients connected to the Indian Ministry of External Affairs as shown in the below screen shot .' [/INST] [This:O, email:S-TOOL, was:O, later:O, forwarded:O, on:O, Oct:B-TIME, 24th,2016:E-TIME, from:O, a:O, spoofed:O, email:S-TOOL, id:O, which:O, is:O, associated:O, with:O, Thailand:S-LOC, Indian:B-IDTY, embassy:E-IDTY, to:O, various:O, email:S-TOOL, recipients:O, connected:O, to:O, the:O, Indian:B-IDTY, Ministry:I-IDTY, of:I-IDTY, External:I-IDTY, Affairs:E-IDTY, as:O, shown:O, in:O, the:O, below:O, screen:O, shot:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In this case Attackers again spoofed an email id associated with Indian Ministry of Home Affairs and the mail was sent on September 1,2016 to an email id associated Thailand Indian embassy , this email was later forwarded on Oct 24th,2016 from a spoofed email of Thailand Indian embassy to various email recipients connected to the Indian Ministry of External Affairs ( MEA ) .' [/INST] [In:O, this:O, case:O, Attackers:O, again:O, spoofed:O, an:O, email:S-TOOL, id:O, associated:O, with:O, Indian:B-IDTY, Ministry:I-IDTY, of:I-IDTY, Home:I-IDTY, Affairs:E-IDTY, and:O, the:O, mail:O, was:O, sent:O, on:O, September:B-TIME, 1,2016:E-TIME, to:O, an:O, email:S-TOOL, id:O, associated:O, Thailand:S-LOC, Indian:B-IDTY, embassy:E-IDTY, ,:O, this:O, email:S-TOOL, was:O, later:O, forwarded:O, on:O, Oct:B-TIME, 24th,2016:E-TIME, from:O, a:O, spoofed:O, email:S-TOOL, of:O, Thailand:S-LOC, Indian:B-IDTY, embassy:E-IDTY, to:O, various:O, email:S-TOOL, recipients:O, connected:O, to:O, the:O, Indian:B-IDTY, Ministry:I-IDTY, of:I-IDTY, External:I-IDTY, Affairs:E-IDTY, (:O, MEA:S-IDTY, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This time the email was made to look like an investigation report related to Jammu & Kashmir protest was shared by the Ministry of Home Affairs Official and the forwarded email was made to look like the report was forwarded by an Ambassador in Thailand Indian embassy to the MEA officials .' [/INST] [This:O, time:O, the:O, email:S-TOOL, was:O, made:O, to:O, look:O, like:O, an:O, investigation:O, report:O, related:O, to:O, Jammu:B-LOC, &:I-LOC, Kashmir:E-LOC, protest:O, was:O, shared:O, by:O, the:O, Ministry:B-IDTY, of:I-IDTY, Home:I-IDTY, Affairs:E-IDTY, Official:O, and:O, the:O, forwarded:O, email:S-TOOL, was:O, made:O, to:O, look:O, like:O, the:O, report:O, was:O, forwarded:O, by:O, an:O, Ambassador:O, in:O, Thailand:S-LOC, Indian:B-IDTY, embassy:E-IDTY, to:O, the:O, MEA:S-IDTY, officials:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'From the emails ( and the attachments ) it looks like the goal of the attackers was to infect and take control of the systems and also to spy on the actions of the Indian Government post the Jammu & Kashmir protest and Uri Terror attack .' [/INST] [From:O, the:O, emails:S-TOOL, (:O, and:O, the:O, attachments:O, ):O, it:O, looks:O, like:O, the:O, goal:O, of:O, the:O, attackers:O, was:O, to:O, infect:O, and:O, take:O, control:O, of:O, the:O, systems:O, and:O, also:O, to:O, spy:O, on:O, the:O, actions:O, of:O, the:O, Indian:O, Government:O, post:O, the:O, Jammu:B-LOC, &:I-LOC, Kashmir:E-LOC, protest:O, and:O, Uri:B-ACT, Terror:I-ACT, attack:E-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: 'When the victim opens the attached word document it prompts the user to enable macro content and both the documents ( Uri Terror Report.doc and mha-report.doc ) displayed the same content and contained a Show Document button .' [/INST] [When:O, the:O, victim:O, opens:O, the:O, attached:B-TOOL, word:I-TOOL, document:E-TOOL, it:O, prompts:O, the:O, user:O, to:O, enable:O, macro:O, content:O, and:O, both:O, the:O, documents:O, (:O, Uri:B-FILE, Terror:I-FILE, Report.doc:E-FILE, and:O, mha-report.doc:S-FILE, ):O, displayed:O, the:O, same:O, content:O, and:O, contained:O, a:O, Show:O, Document:O, button:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 both the documents ( Uri Terror Report.doc and mha-report.doc ) the malicious macro code was heavily obfuscated (used obscure variable/function names to make analysis harder ) and did not contain any auto execute functions .' [/INST] [In:O, case:O, of:O, both:O, the:O, documents:O, (:O, Uri:B-FILE, Terror:I-FILE, Report.doc:E-FILE, and:O, mha-report.doc:S-FILE, ):O, the:O, malicious:O, macro:B-TOOL, code:E-TOOL, was:O, heavily:O, obfuscated:O, (used:O, obscure:O, variable/function:O, names:O, to:O, make:O, analysis:O, harder:O, ):O, and:O, did:O, not:O, contain:O, any:O, auto:O, execute:O, functions:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Malicious activity is trigged only on user interaction , attackers normally use this technique to bypass sandbox/automated analysis .' [/INST] [Malicious:O, activity:O, is:O, trigged:O, only:O, on:O, user:O, interaction:O, ,:O, attackers:O, normally:O, use:O, this:O, technique:O, to:O, bypass:O, sandbox/automated: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: 'Reverse engineering both the word documents ( Uri Terror Report.doc & mha-report.doc ) exhibited similar behaviour except the minor difference mentioned below .' [/INST] [Reverse:O, engineering:O, both:O, the:O, word:O, documents:O, (:O, Uri:B-FILE, Terror:I-FILE, Report.doc:E-FILE, &:O, mha-report.doc:S-FILE, ):O, exhibited:O, similar:O, behaviour:O, except:O, the:O, minor:O, difference:O, mentioned: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: 'In case of mha-report.doc the malicious activity triggered only when the show document button was clicked , when this event occurs the macro code calls a subroutine CommandButton1_Click() which in turn calls a malicious obfuscated function ( Bulbaknopka() ) .' [/INST] [In:O, case:O, of:O, mha-report.doc:S-FILE, the:O, malicious:O, activity:O, triggered:O, only:O, when:O, the:O, show:O, document:O, button:O, was:O, clicked:O, ,:O, when:O, this:O, event:O, occurs:O, the:O, macro:B-TOOL, code:E-TOOL, calls:O, a:O, subroutine:O, CommandButton1_Click():S-TOOL, which:O, in:O, turn:O, calls:O, a:O, malicious:O, obfuscated:O, function:O, (:O, Bulbaknopka():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: 'In case of Uri Terror Report.doc the malicious activity triggered when the document was either closed or when the show document button was clicked , when any of these event occurs a malicious obfuscated function ( chugnnarabashkoim() ) gets called .' [/INST] [In:O, case:O, of:O, Uri:B-FILE, Terror:I-FILE, Report.doc:E-FILE, the:O, malicious:O, activity:O, triggered:O, when:O, the:O, document:O, was:O, either:O, closed:O, or:O, when:O, the:O, show:O, document:O, button:O, was:O, clicked:O, ,:O, when:O, any:O, of:O, these:O, event:O, occurs:O, a:O, malicious:O, obfuscated:O, function:O, (:O, chugnnarabashkoim():S-TOOL, ):O, gets:O, called:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 malicious macro code first decodes a string which contains a reference to the pastebin url .' [/INST] [The:O, malicious:B-TOOL, macro:I-TOOL, code:E-TOOL, first:O, decodes:O, a:O, string:O, which:O, contains:O, a:O, reference:O, to:O, the:O, pastebin:O, url:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 macro then decodes a PowerShell script which downloads base64 encoded content from the pastebin url .' [/INST] [The:O, macro:S-TOOL, then:O, decodes:O, a:O, PowerShell:S-TOOL, script:O, which:O, downloads:O, base64:B-TOOL, encoded:I-TOOL, content:E-TOOL, from:O, the:O, pastebin:S-TOOL, url:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 base64 encoded content downloaded from the Pastebin link is then decoded to an executable and dropped on the system .' [/INST] [The:O, base64:B-TOOL, encoded:I-TOOL, content:E-TOOL, downloaded:O, from:O, the:O, Pastebin:S-TOOL, link:O, is:O, then:O, decoded:O, to:O, an:O, executable:O, and:O, dropped:O, on:O, the:O, system:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The technique of hosting malicious code in legitimate sites like Pastebin has advantages and it is highly unlikely to trigger any suspicion in security monitoring and also can bypass reputation based devices .' [/INST] [The:O, technique:O, of:O, hosting:O, malicious:O, code:O, in:O, legitimate:O, sites:O, like:O, Pastebin:S-TOOL, has:O, advantages:O, and:O, it:O, is:O, highly:O, unlikely:O, to:O, trigger:O, any:O, suspicion:O, in:O, security:O, monitoring:O, and:O, also:O, can:O, bypass:O, reputation:O, based:O, devices:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 dropped file was determined as modified version of njRAT trojan .' [/INST] [The:O, dropped:O, file:O, was:O, determined:O, as:O, modified:O, version:O, of:O, njRAT:B-MAL, trojan:E-MAL, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The dropped file ( officeupdate.exe ) is then executed by the macro code using the PowerShell script . njRAT is a Remote Access Tool ( RAT ) used mostly by the actor groups in the middle east .' [/INST] [The:O, dropped:O, file:O, (:O, officeupdate.exe:S-FILE, ):O, is:O, then:O, executed:O, by:O, the:O, macro:B-TOOL, code:E-TOOL, using:O, the:O, PowerShell:B-TOOL, script:E-TOOL, .:O, njRAT:S-MAL, is:O, a:O, Remote:B-TOOL, Access:I-TOOL, Tool:E-TOOL, (:O, RAT:S-MAL, ):O, used:O, mostly:O, by:O, the:O, actor:O, groups:O, in:O, the:O, middle:B-LOC, east:E-LOC, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once infected njRAT communicates to the attacker and allows the attacker to log keystrokes , upload/download files , access victims web camera , audio recording , steal credentials , view victims desktop , open reverse shell etc .' [/INST] [Once:O, infected:O, njRAT:S-MAL, communicates:O, to:O, the:O, attacker:O, and:O, allows:O, the:O, attacker:O, to:O, log:O, keystrokes:O, ,:O, upload/download:O, files:O, ,:O, access:O, victims:O, web:O, camera:O, ,:O, audio:O, recording:O, ,:O, steal:O, credentials:O, ,:O, view:O, victims:O, desktop:O, ,:O, open:O, reverse:O, shell:O, etc:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 dropped file was analyzed in an isolated environment ( without actually allowing it to connect to the c2 server ) .' [/INST] [The:O, dropped:B-TOOL, file:E-TOOL, was:O, analyzed:O, in:O, an:O, isolated:O, environment:O, (:O, without:O, actually:O, allowing:O, it:O, to:O, connect:O, to:O, the:O, c2:S-TOOL, server:O, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Once the dropped file ( officeupdate.exe ) is executed the malware drops additional files ( googleupdate.exe , malib.dll and msccvs.dll ) into the %AllUsersProfile%\Google directory and then executes the dropped googleupdate.exe Upon execution malware makes a connection to the c2 server on port 5555 and sends the system & operating system information along with some base64 encoded strings to the attacker as shown below .' [/INST] [Once:O, the:O, dropped:O, file:O, (:O, officeupdate.exe:S-FILE, ):O, is:O, executed:O, the:B-MAL, malware:E-MAL, drops:O, additional:O, files:O, (:O, googleupdate.exe:S-FILE, ,:O, malib.dll:S-FILE, and:O, msccvs.dll:S-FILE, ):O, into:O, the:O, %AllUsersProfile%\Google:S-IDTY, directory:O, and:O, then:O, executes:O, the:O, dropped:O, googleupdate.exe:S-FILE, Upon:O, execution:O, malware:S-MAL, makes:O, a:O, connection:O, to:O, the:O, c2:S-TOOL, server:O, on:O, port:O, 5555:O, and:O, sends:O, the:O, system:O, &:O, operating:O, system:O, information:O, along:O, with:O, some:O, base64:O, encoded:O, strings:O, to:O, the:O, attacker:O, as:O, shown: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: 'This section contains the details of the c2 domain ( khanji.ddns.net ) .' [/INST] [This:O, section:O, contains:O, the:O, details:O, of:O, the:O, c2:S-TOOL, domain:O, (:O, khanji.ddns.net:S-DOM, ):O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Attackers used the DynamicDNS to host the c2 server , this allows the attacker to quickly change the IP address in real time if the malware c2 server infrastructure is unavailable .' [/INST] [Attackers:O, used:O, the:O, DynamicDNS:S-TOOL, to:O, host:O, the:O, c2:S-TOOL, server:O, ,:O, this:O, allows:O, the:O, attacker:O, to:O, quickly:O, change:O, the:O, IP:S-PROT, address:O, in:O, real:O, time:O, if:O, the:O, malware:O, c2:S-TOOL, server:O, infrastructure:O, is:O, unavailable:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 c2 domain was associated with multiple IP addresses in past .' [/INST] [The:O, c2:S-TOOL, domain:O, was:O, associated:O, with:O, multiple:O, IP:S-PROT, addresses:O, in:O, past:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the timeline of this cyber attack most of these IP addresses were located in Pakistan and few IP addresses used the hosting provider infrastructure .' [/INST] [During:O, the:O, timeline:O, of:O, this:O, cyber:O, attack:O, most:O, of:O, these:O, IP:S-PROT, addresses:O, were:O, located:O, in:O, Pakistan:S-LOC, and:O, few:O, IP:S-PROT, addresses:O, used:O, the:O, hosting:B-TOOL, provider:I-TOOL, infrastructure: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 c2 domain ( khanji.ddns.net ) was also found to be associated with multiple malware samples in the past , Some of these malware samples made connection to pastebin urls upon execution , which is similar to the behavior mentioned previously .' [/INST] [The:O, c2:S-TOOL, domain:O, (:O, khanji.ddns.net:S-DOM, ):O, was:O, also:O, found:O, to:O, be:O, associated:O, with:O, multiple:O, malware:O, samples:O, in:O, the:O, past:O, ,:O, Some:O, of:O, these:O, malware:O, samples:O, made:O, connection:O, to:O, pastebin:S-TOOL, urls:O, upon:O, execution:O, ,:O, which:O, is:O, similar:O, to:O, the:O, behavior:O, mentioned:O, previously:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Based on the base64 encoded content posted in the Pastebin , userid associated with the Pastebin post was determined .' [/INST] [Based:O, on:O, the:O, base64:B-TOOL, encoded:I-TOOL, content:E-TOOL, posted:O, in:O, the:O, Pastebin:S-TOOL, ,:O, userid:O, associated:O, with:O, the:O, Pastebin:S-TOOL, post:O, was:O, determined:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 same user posted multiple similar posts most of them containing similar base64 encoded content ( probably used by the malwares in other campaigns to decode and drop malware executable ) , these posts were made between July 21st , 2016 to September 30 , 2016 .' [/INST] [The:O, same:O, user:O, posted:O, multiple:O, similar:O, posts:O, most:O, of:O, them:O, containing:O, similar:O, base64:B-TOOL, encoded:I-TOOL, content:E-TOOL, (:O, probably:O, used:O, by:O, the:O, malwares:O, in:O, other:O, campaigns:O, to:O, decode:O, and:O, drop:O, malware:O, executable:O, ):O, ,:O, these:O, posts:O, were:O, made:O, between:O, July:B-TIME, 21st:I-TIME, ,:I-TIME, 2016:E-TIME, to:O, September:B-TIME, 30:I-TIME, ,:I-TIME, 2016: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: 'Below screen shot shows the posts made by the user , the hits column in the below screen shot gives an idea of number of times the links were visited ( probably by the malicious macro code ) , this can give rough idea of the number of users who are probably infected as a result of opening the malicious document .' [/INST] [Below:O, screen:O, shot:O, shows:O, the:O, posts:O, made:O, by:O, the:O, user:O, ,:O, the:O, hits:O, column:O, in:O, the:O, below:O, screen:O, shot:O, gives:O, an:O, idea:O, of:O, number:O, of:O, times:O, the:O, links:O, were:O, visited:O, (:O, probably:O, by:O, the:O, malicious:B-TOOL, macro:I-TOOL, code:E-TOOL, ):O, ,:O, this:O, can:O, give:O, rough:O, idea:O, of:O, the:O, number:O, of:O, users:O, who:O, are:O, probably:O, infected:O, as:O, a:O, result:O, of:O, opening:O, the:O, malicious:O, document:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Doing a Google search for the Pastebin userid landed me on a YouTube video posted by an individual demonstrating his modified version of njRAT control panel/builder kit .' [/INST] [Doing:O, a:O, Google:S-IDTY, search:O, for:O, the:O, Pastebin:S-TOOL, userid:O, landed:O, me:O, on:O, a:O, YouTube:S-IDTY, video:O, posted:O, by:O, an:O, individual:O, demonstrating:O, his:O, modified:O, version:O, of:O, njRAT:B-TOOL, control:I-TOOL, panel/builder:I-TOOL, kit: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 Pastebin userid matched with the email ID mentioned by this individual in the YouTube video description section .' [/INST] [The:O, Pastebin:S-TOOL, userid:O, matched:O, with:O, the:O, email:S-TOOL, ID:O, mentioned:O, by:O, this:O, individual:O, in:O, the:O, YouTube:S-IDTY, video:O, description: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: 'This same keyword was also found in the njRAT c2 communication used in this attack .' [/INST] [This:O, same:O, keyword:O, was:O, also:O, found:O, in:O, the:O, njRAT:S-MAL, c2:S-TOOL, communication:O, used:O, in:O, this: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: 'After inspecting the njRAT builder kit it was determined that this individual customized the existing njRAT builder kit to bypass security products .' [/INST] [After:O, inspecting:O, the:O, njRAT:B-TOOL, builder:I-TOOL, kit:E-TOOL, it:O, was:O, determined:O, that:O, this:O, individual:O, customized:O, the:O, existing:O, njRAT:B-TOOL, builder:I-TOOL, kit:E-TOOL, to:O, bypass:O, security: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 product information in the builder kit matched with this individual ’s YouTube username and the YouTube channel .' [/INST] [The:O, product:O, information:O, in:O, the:O, builder:O, kit:O, matched:O, with:O, this:O, individual:O, ’s:O, YouTube:S-IDTY, username:O, and:O, the:O, YouTube:S-IDTY, channel:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 njRAT used in this cyber attack was built from this builder kit .' [/INST] [The:O, njRAT:S-MAL, used:O, in:O, this:O, cyber:O, attack:O, was:O, built:O, from:O, this:O, builder:O, kit:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 this information it can be concluded that espionage actors used this individual ’s modified version of njRAT in this cyber attack .' [/INST] [Based:O, on:O, this:O, information:O, it:O, can:O, be:O, concluded:O, that:O, espionage:O, actors:O, used:O, this:O, individual:O, ’s:O, modified:O, version:O, of:O, njRAT:S-MAL, in:O, this:O, cyber: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: 'Even though this individual ’s email id matched with the Pastebin id where base64 encoded malicious code was found , it is hard to say if this individual was or was not involved in this cyber attack .' [/INST] [Even:O, though:O, this:O, individual:O, ’s:O, email:S-TOOL, id:O, matched:O, with:O, the:O, Pastebin:S-TOOL, id:O, where:O, base64:O, encoded:O, malicious:O, code:O, was:O, found:O, ,:O, it:O, is:O, hard:O, to:O, say:O, if:O, this:O, individual:O, was:O, or:O, was:O, not:O, involved:O, in:O, this:O, cyber: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: 'It could be possible that the espionage actors used his public identity as a diversion to mislead and to hide the real identity of the attackers or it is also possible that this individual was hired to carry out the attack .' [/INST] [It:O, could:O, be:O, possible:O, that:O, the:O, espionage:O, actors:O, used:O, his:O, public:O, identity:O, as:O, a:O, diversion:O, to:O, mislead:O, and:O, to:O, hide:O, the:O, real:O, identity:O, of:O, the:O, attackers:O, or:O, it:O, is:O, also:O, possible:O, that:O, this:O, individual:O, was:O, hired:O, to:O, carry:O, out:O, the:O, attack:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The indicators are provided below , these indicators can be used by the organizations ( Government , Public and Private organizations ) to detect and investigate this attack campaign . 14b9d54f07f3facf1240c5ba89aa2410 ( googleupdate.exe ) . 2b0bd7e43c1f98f9db804011a54c11d6 ( malib.dll ) . feec4b571756e8c015c884cb5441166b ( msccvs.dll ) . 84d9d0524e14d9ab5f88bbce6d2d2582 ( officeupdate.exe ) . khanji.ddns.net 139.190.6.180 39.40.141.25 175.110.165.110 39.40.44.245 39.40.67.219 . http://pastebin.com/raw/5j4hc8gT http://pastebin.com/raw/6bwniBtB . 028caf3b1f5174ae092ecf435c1fccc2 7732d5349a0cfa1c3e4bcfa0c06949e4 9909f8558209449348a817f297429a48 63698ddbdff5be7d5a7ba7f31d0d592c 7c4e60685203b229a41ae65eba1a0e10 e2112439121f8ba9164668f54ca1c6af .' [/INST] [The:O, indicators:O, are:O, provided:O, below:O, ,:O, these:O, indicators:O, can:O, be:O, used:O, by:O, the:O, organizations:O, (:O, Government:O, ,:O, Public:O, and:O, Private:O, organizations:O, ):O, to:O, detect:O, and:O, investigate:O, this:O, attack:O, campaign:O, .:O, 14b9d54f07f3facf1240c5ba89aa2410:S-FILE, (:O, googleupdate.exe:S-FILE, ):O, .:O, 2b0bd7e43c1f98f9db804011a54c11d6:S-FILE, (:O, malib.dll:S-FILE, ):O, .:O, feec4b571756e8c015c884cb5441166b:S-FILE, (:O, msccvs.dll:S-FILE, ):O, .:O, 84d9d0524e14d9ab5f88bbce6d2d2582:S-FILE, (:O, officeupdate.exe:S-FILE, ):O, .:O, khanji.ddns.net:S-DOM, 139.190.6.180:S-IP, 39.40.141.25:S-IP, 175.110.165.110:S-IP, 39.40.44.245:S-IP, 39.40.67.219:S-IP, .:O, http://pastebin.com/raw/5j4hc8gT:S-URL, http://pastebin.com/raw/6bwniBtB:S-URL, .:O, 028caf3b1f5174ae092ecf435c1fccc2:S-FILE, 7732d5349a0cfa1c3e4bcfa0c06949e4:S-FILE, 9909f8558209449348a817f297429a48:S-FILE, 63698ddbdff5be7d5a7ba7f31d0d592c:S-FILE, 7c4e60685203b229a41ae65eba1a0e10:S-FILE, e2112439121f8ba9164668f54ca1c6af: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: 'Attackers in this case made every attempt to launch a clever attack campaign by spoofing legitimate email ids and using an email theme relevant to the targets .' [/INST] [Attackers:O, in:O, this:O, case:O, made:O, every:O, attempt:O, to:O, launch:O, a:O, clever:O, attack:O, campaign:O, by:O, spoofing:O, legitimate:O, email:S-TOOL, ids:O, and:O, using:O, an:O, email:S-TOOL, theme:O, relevant:O, to:O, the:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 following factors in this cyber attack suggests the possible involvement of Pakistan state sponsored cyber espionage group to mainly spy on India ’s actions related to these Geo-political events ( Uri terror attack and Jammu & Kashmir protests ) .' [/INST] [The:O, following:O, factors:O, in:O, this:O, cyber:O, attack:O, suggests:O, the:O, possible:O, involvement:O, of:O, Pakistan:S-LOC, state:O, sponsored:O, cyber:O, espionage:O, group:O, to:O, mainly:O, spy:O, on:O, India:S-LOC, ’s:O, actions:O, related:O, to:O, these:O, Geo-political:O, events:O, (:O, Uri:B-ACT, terror:I-ACT, attack:E-ACT, and:O, Jammu:B-LOC, &:I-LOC, Kashmir:E-LOC, protests: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: 'Victims/targets chosen ( Indian Embassy and Indian MEA officals ) .' [/INST] [Victims/targets:O, chosen:O, (:O, Indian:B-IDTY, Embassy:E-IDTY, and:O, Indian:B-IDTY, MEA:E-IDTY, officals: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: 'Use of email theme related to the Geo-political events that is of interest to the targets .' [/INST] [Use:O, of:O, email:S-TOOL, theme:O, related:O, to:O, the:O, Geo-political:O, events:O, that:O, is:O, of:O, interest:O, to:O, the:O, targets:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Timing of the spear phishing emails sent to the victims .' [/INST] [Timing:O, of:O, the:O, spear:B-ACT, phishing:E-ACT, emails:S-TOOL, sent:O, to:O, the: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: 'Location of the c2 infrastructure .' [/INST] [Location:O, of:O, the:O, c2:S-TOOL, 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: 'Use of malware that is capable of spying on infected systems .' [/INST] [Use:O, of:O, malware:O, that:O, is:O, capable:O, of:O, spying:O, on:O, infected: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: 'The following factors show the level of sophistication and reveals the attackers intention to remain stealthy and to gain long-term access by evading anti-virus , sandbox and security monitoring at both the desktop and network levels .' [/INST] [The:O, following:O, factors:O, show:O, the:O, level:O, of:O, sophistication:O, and:O, reveals:O, the:O, attackers:O, intention:O, to:O, remain:O, stealthy:O, and:O, to:O, gain:O, long-term:O, access:O, by:O, evading:O, anti-virus:O, ,:O, sandbox:O, and:O, security:O, monitoring:O, at:O, both:O, the:O, desktop:O, and:O, network:O, levels:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Use of obfuscated malicious macro code .' [/INST] [Use:O, of:O, obfuscated:O, malicious:B-TOOL, macro:I-TOOL, code: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: 'Use of macro code that triggers only on user intervention ( to bypass sandbox analysis ) .' [/INST] [Use:O, of:O, macro:B-TOOL, code:E-TOOL, that:O, triggers:O, only:O, on:O, user:O, intervention:O, (:O, to:O, bypass:O, sandbox:O, analysis: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: 'Use of legitimate site ( Pastebin ) to host malicious code ( to bypass security monitoring ) .' [/INST] [Use:O, of:O, legitimate:O, site:O, (:O, Pastebin:S-TOOL, ):O, to:O, host:O, malicious:O, code:O, (:O, to:O, bypass:O, security:O, monitoring: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: 'Use of customized njRAT ( capable of evading anti-virus ) .' [/INST] [Use:O, of:O, customized:O, njRAT:S-MAL, (:O, capable:O, of:O, evading:O, anti-virus: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 Curious Case of Notepad and Chthonic : Exposing a Malicious Infrastructure .' [/INST] [The:O, Curious:O, Case:O, of:O, Notepad:S-TOOL, and:O, Chthonic:S-MAL, ::O, Exposing:O, a:O, Malicious: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: 'Recently , I ’ve been investigating malware utilizing PowerShell and have spent a considerable amount of time refining ways to identify new variants of attacks as they appear .' [/INST] [Recently:O, ,:O, I:O, ’ve:O, been:O, investigating:O, malware:O, utilizing:O, PowerShell:S-TOOL, and:O, have:O, spent:O, a:O, considerable:O, amount:O, of:O, time:O, refining:O, ways:O, to:O, identify:O, new:O, variants:O, of:O, attacks:O, as:O, they:O, appear:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 posting is a follow-up of my previous work on this subject in' [/INST] [This:O, posting:O, is:O, a:O, follow-up:O, of:O, my:O, previous:O, work:O, on:O, this:O, subject:O, in:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: '“ Pulling Back the Curtains on EncodedCommand PowerShell Attacks ” .' [/INST] [“:O, Pulling:O, Back:O, the:O, Curtains:O, on:O, EncodedCommand:O, PowerShell:S-TOOL, Attacks:O, ”:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In a sample I recently analyzed , something stood out as extremely suspicious which led me down a rabbit hole , uncovering malicious infrastructure supporting Chthonic , Nymaim , and other malware and malicious websites .' [/INST] [In:O, a:O, sample:O, I:O, recently:O, analyzed:O, ,:O, something:O, stood:O, out:O, as:O, extremely:O, suspicious:O, which:O, led:O, me:O, down:O, a:O, rabbit:O, hole:O, ,:O, uncovering:O, malicious:O, infrastructure:O, supporting:O, Chthonic:S-MAL, ,:O, Nymaim:S-MAL, ,:O, and:O, other:O, malware:O, and:O, malicious:O, websites:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Throughout this blog post I present my analysis and thought process during this research , but if you would just like a list of the findings , they are over on our Unit42 GitHub .' [/INST] [Throughout:O, this:O, blog:O, post:O, I:O, present:O, my:O, analysis:O, and:O, thought:O, process:O, during:O, this:O, research:O, ,:O, but:O, if:O, you:O, would:O, just:O, like:O, a:O, list:O, of:O, the:O, findings:O, ,:O, they:O, are:O, over:O, on:O, our:O, Unit42:S-SECTEAM, GitHub: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: 'Most commonly , PowerShell is launched from a Microsoft Office document that uses a VBA macro to launch PowerShell to perform something malicious – typically downloading the “ real ” malware to run .' [/INST] [Most:O, commonly:O, ,:O, PowerShell:S-TOOL, is:O, launched:O, from:O, a:O, Microsoft:B-TOOL, Office:I-TOOL, document:E-TOOL, that:O, uses:O, a:O, VBA:B-TOOL, macro:E-TOOL, to:O, launch:O, PowerShell:S-TOOL, to:O, perform:O, something:O, malicious:O, –:O, typically:O, downloading:O, the:O, “:O, real:O, ”:O, malware:O, to:O, run:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'I focused my hunting on the PowerShell activity with Palo Alto Networks AutoFocus to determine whether it ’s worth digging into further based on “ uniqueness ” and functionality .' [/INST] [I:O, focused:O, my:O, hunting:O, on:O, the:O, PowerShell:S-TOOL, activity:O, with:O, Palo:O, Alto:O, Networks:O, AutoFocus:O, to:O, determine:O, whether:O, it:O, ’s:O, worth:O, digging:O, into:O, further:O, based:O, on:O, “:O, uniqueness:O, ”:O, and:O, functionality:O, .:O] </s> |