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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: 'This happens all the time in regular Android apps , as Activity is one of the fundamental Android UI elements .' [/INST] [This:O, happens:O, all:O, the:O, time:O, in:O, regular:O, Android:B-System, apps:O, ,:O, as:O, Activity:O, is:O, one:O, of:O, the:O, fundamental:O, Android:B-System, UI:O, elements:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 only purpose of this method is to connect to the C & C server .' [/INST] [The:O, only:O, purpose:O, of:O, this:O, method:O, is:O, to:O, connect:O, to:O, the:O, C:O, &:O, C:O, server:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Zen trojan After achieving persistence , the trojan downloads additional payloads , including another trojan called Zen .' [/INST] [The:O, Zen:B-Malware, trojan:O, After:O, achieving:O, persistence:O, ,:O, the:O, trojan:O, downloads:O, additional:O, payloads:O, ,:O, including:O, another:O, trojan:O, called:O, Zen:B-Malware, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Zen requires root to work correctly on the Android operating system .' [/INST] [Zen:B-Malware, requires:O, root:O, to:O, work:O, correctly:O, on:O, the:O, Android:B-System, operating: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 Zen trojan uses its root privileges to turn on accessibility service ( a service used to allow Android users with disabilities to use their devices ) for itself by writing to a system-wide setting value enabled_accessibility_services .' [/INST] [The:O, Zen:B-Malware, trojan:O, uses:O, its:O, root:O, privileges:O, to:O, turn:O, on:O, accessibility:O, service:O, (:O, a:O, service:O, used:O, to:O, allow:O, Android:B-System, users:O, with:O, disabilities:O, to:O, use:O, their:O, devices:O, ):O, for:O, itself:O, by:O, writing:O, to:O, a:O, system-wide:O, setting:O, value:O, enabled_accessibility_services:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Zen does n't even check for the root privilege : it just assumes it has it .' [/INST] [Zen:B-Malware, does:O, n't:O, even:O, check:O, for:O, the:O, root:O, privilege:O, ::O, it:O, just:O, assumes:O, it:O, has:O, it:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 leads us to believe that Zen is just part of a larger infection chain .' [/INST] [This:O, leads:O, us:O, to:O, believe:O, that:O, Zen:B-Malware, is:O, just:O, part:O, of:O, a:O, larger:O, infection:O, chain:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 trojan implements three accessibility services directed at different Android API levels and uses these accessibility services , chosen by checking the operating system version , to create new Google accounts .' [/INST] [The:O, trojan:O, implements:O, three:O, accessibility:O, services:O, directed:O, at:O, different:O, Android:B-System, API:I-System, levels:O, and:O, uses:O, these:O, accessibility:O, services:O, ,:O, chosen:O, by:O, checking:O, the:O, operating:O, system:O, version:O, ,:O, to:O, create:O, new:O, Google:B-Organization, accounts:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 done by opening the Google account creation process and parsing the current view .' [/INST] [This:O, is:O, done:O, by:O, opening:O, the:O, Google:B-Organization, account:O, creation:O, process:O, and:O, parsing:O, the:O, current:O, view:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 app then clicks the appropriate buttons , scrollbars , and other UI elements to go through account sign-up without user intervention .' [/INST] [The:O, app:O, then:O, clicks:O, the:O, appropriate:O, buttons:O, ,:O, scrollbars:O, ,:O, and:O, other:O, UI:O, elements:O, to:O, go:O, through:O, account:O, sign-up:O, without:O, user:O, intervention:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 account sign-up process , Google may flag the account creation attempt as suspicious and prompt the app to solve a CAPTCHA .' [/INST] [During:O, the:O, account:O, sign-up:O, process:O, ,:O, Google:B-Organization, may:O, flag:O, the:O, account:O, creation:O, attempt:O, as:O, suspicious:O, and:O, prompt:O, the:O, app:O, to:O, solve:O, a:O, CAPTCHA:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 get around this , the app then uses its root privilege to inject code into the Setup Wizard , extract the CAPTCHA image , and sends it to a remote server to try to solve the CAPTCHA .' [/INST] [To:O, get:O, around:O, this:O, ,:O, the:O, app:O, then:O, uses:O, its:O, root:O, privilege:O, to:O, inject:O, code:O, into:O, the:O, Setup:O, Wizard:O, ,:O, extract:O, the:O, CAPTCHA:O, image:O, ,:O, and:O, sends:O, it:O, to:O, a:O, remote:O, server:O, to:O, try:O, to:O, solve:O, the:O, CAPTCHA:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 unclear if the remote server is capable of solving the CAPTCHA image automatically or if this is done manually by a human in the background .' [/INST] [It:O, is:O, unclear:O, if:O, the:O, remote:O, server:O, is:O, capable:O, of:O, solving:O, the:O, CAPTCHA:O, image:O, automatically:O, or:O, if:O, this:O, is:O, done:O, manually:O, by:O, a:O, human:O, in:O, the:O, background:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'After the server returns the solution , the app enters it into the appropriate text field to complete the CAPTCHA challenge .' [/INST] [After:O, the:O, server:O, returns:O, the:O, solution:O, ,:O, the:O, app:O, enters:O, it:O, into:O, the:O, appropriate:O, text:O, field:O, to:O, complete:O, the:O, CAPTCHA:O, challenge:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Zen trojan does not implement any kind of obfuscation except for one string that is encoded using Base64 encoding .' [/INST] [The:O, Zen:B-Malware, trojan:O, does:O, not:O, implement:O, any:O, kind:O, of:O, obfuscation:O, except:O, for:O, one:O, string:O, that:O, is:O, encoded:O, using:O, Base64:O, 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: 'It 's one of the strings - , How you 'll sign in '' - that it looks for during the account creation process .' [/INST] [It:O, 's:O, one:O, of:O, the:O, strings:O, -:O, ,:O, How:O, you:O, 'll:O, sign:O, in:O, '':O, -:O, that:O, it:O, looks:O, for:O, during:O, the:O, account:O, creation:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The code snippet below shows part of the screen parsing process .' [/INST] [The:O, code:O, snippet:O, below:O, shows:O, part:O, of:O, the:O, screen:O, parsing:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Apart from injecting code to read the CAPTCHA , the app also injects its own code into the system_server process , which requires root privileges .' [/INST] [Apart:O, from:O, injecting:O, code:O, to:O, read:O, the:O, CAPTCHA:O, ,:O, the:O, app:O, also:O, injects:O, its:O, own:O, code:O, into:O, the:O, system_server:O, process:O, ,:O, which:O, requires:O, root:O, privileges:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 indicates that the app tries to hide itself from any anti-PHA systems that look for a specific app process name or does not have the ability to scan the memory of the system_server process .' [/INST] [This:O, indicates:O, that:O, the:O, app:O, tries:O, to:O, hide:O, itself:O, from:O, any:O, anti-PHA:O, systems:O, that:O, look:O, for:O, a:O, specific:O, app:O, process:O, name:O, or:O, does:O, not:O, have:O, the:O, ability:O, to:O, scan:O, the:O, memory:O, of:O, the:O, system_server:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 app also creates hooks to prevent the phone from rebooting , going to sleep or allowing the user from pressing hardware buttons during the account creation process .' [/INST] [The:O, app:O, also:O, creates:O, hooks:O, to:O, prevent:O, the:O, phone:O, from:O, rebooting:O, ,:O, going:O, to:O, sleep:O, or:O, allowing:O, the:O, user:O, from:O, pressing:O, hardware:O, buttons:O, during:O, the:O, account:O, creation:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 hooks are created using the root access and a custom native code called Lmt_INJECT , although the algorithm for this is well known .' [/INST] [These:O, hooks:O, are:O, created:O, using:O, the:O, root:O, access:O, and:O, a:O, custom:O, native:O, code:O, called:O, Lmt_INJECT:O, ,:O, although:O, the:O, algorithm:O, for:O, this:O, is:O, well:O, known:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'First , the app has to turn off SELinux protection .' [/INST] [First:O, ,:O, the:O, app:O, has:O, to:O, turn:O, off:O, SELinux:B-System, protection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 the app finds a process id value for the process it wants to inject with code .' [/INST] [Then:O, the:O, app:O, finds:O, a:O, process:O, id:O, value:O, for:O, the:O, process:O, it:O, wants:O, to:O, inject:O, with: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: 'This is done using a series of syscalls as outlined below .' [/INST] [This:O, is:O, done:O, using:O, a:O, series:O, of:O, syscalls:O, as:O, outlined: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: 'The , source process '' refers to the Zen trojan running as root , while the , target process '' refers to the process to which the code is injected and [ pid ] refers to the target process pid value .' [/INST] [The:O, ,:O, source:O, process:O, '':O, refers:O, to:O, the:O, Zen:B-Malware, trojan:O, running:O, as:O, root:O, ,:O, while:O, the:O, ,:O, target:O, process:O, '':O, refers:O, to:O, the:O, process:O, to:O, which:O, the:O, code:O, is:O, injected:O, and:O, [:O, pid:O, ]:O, refers:O, to:O, the:O, target:O, process:O, pid: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: 'The source process checks the mapping between a process id and a process name .' [/INST] [The:O, source:O, process:O, checks:O, the:O, mapping:O, between:O, a:O, process:O, id:O, and:O, a:O, process:O, name:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'This is done by reading the /proc/ [ pid ] /cmdline file .' [/INST] [This:O, is:O, done:O, by:O, reading:O, the:O, /proc/:B-Indicator, [:I-Indicator, pid:I-Indicator, ]:I-Indicator, /cmdline:I-Indicator, 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: 'This very first step fails in Android 7.0 and higher , even with a root permission .' [/INST] [This:O, very:O, first:O, step:O, fails:O, in:O, Android:B-System, 7.0:I-System, and:O, higher:O, ,:O, even:O, with:O, a:O, root:O, permission:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 /proc filesystem is now mounted with a hidepid=2 parameter , which means that the process can not access other process /proc/ [ pid ] directory .' [/INST] [The:O, /proc:B-Indicator, filesystem:O, is:O, now:O, mounted:O, with:O, a:O, hidepid=2:O, parameter:O, ,:O, which:O, means:O, that:O, the:O, process:O, can:O, not:O, access:O, other:O, process:O, /proc/:B-Indicator, [:I-Indicator, pid:I-Indicator, ]:I-Indicator, directory:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A ptrace_attach syscall is called .' [/INST] [A:O, ptrace_attach:O, syscall:O, is: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: 'This allows the source process to trace the target .' [/INST] [This:O, allows:O, the:O, source:O, process:O, to:O, trace:O, the:O, target:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 source process looks at its own memory to calculate the offset between the beginning of the libc library and the mmap address .' [/INST] [The:O, source:O, process:O, looks:O, at:O, its:O, own:O, memory:O, to:O, calculate:O, the:O, offset:O, between:O, the:O, beginning:O, of:O, the:O, libc:O, library:O, and:O, the:O, mmap:O, address:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The source process reads /proc/ [ pid ] /maps to find where libc is located in the target process memory .' [/INST] [The:O, source:O, process:O, reads:O, /proc/:B-Indicator, [:I-Indicator, pid:I-Indicator, ]:I-Indicator, /maps:I-Indicator, to:O, find:O, where:O, libc:O, is:O, located:O, in:O, the:O, target:O, process: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: 'By adding the previously calculated offset , it can get the address of the mmap function in the target process memory .' [/INST] [By:O, adding:O, the:O, previously:O, calculated:O, offset:O, ,:O, it:O, can:O, get:O, the:O, address:O, of:O, the:O, mmap:O, function:O, in:O, the:O, target:O, process: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: 'The source process tries to determine the location of dlopen , dlsym , and dlclose functions in the target process .' [/INST] [The:O, source:O, process:O, tries:O, to:O, determine:O, the:O, location:O, of:O, dlopen:O, ,:O, dlsym:O, ,:O, and:O, dlclose:O, functions:O, in:O, the:O, target:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 uses the same technique as it used to determine the offset to the mmap function .' [/INST] [It:O, uses:O, the:O, same:O, technique:O, as:O, it:O, used:O, to:O, determine:O, the:O, offset:O, to:O, the:O, mmap:O, function:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 source process writes the native shellcode into the memory region allocated by mmap .' [/INST] [The:O, source:O, process:O, writes:O, the:O, native:O, shellcode:O, into:O, the:O, memory:O, region:O, allocated:O, by:O, mmap:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Additionally , it also writes addresses of dlopen , dlsym , and dlclose into the same region , so that they can be used by the shellcode .' [/INST] [Additionally:O, ,:O, it:O, also:O, writes:O, addresses:O, of:O, dlopen:O, ,:O, dlsym:O, ,:O, and:O, dlclose:O, into:O, the:O, same:O, region:O, ,:O, so:O, that:O, they:O, can:O, be:O, used:O, by:O, the:O, shellcode:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Shellcode simply uses dlopen to open a .so file within the target process and then dlsym to find a symbol in that file and run it .' [/INST] [Shellcode:O, simply:O, uses:O, dlopen:O, to:O, open:O, a:O, .so:O, file:O, within:O, the:O, target:O, process:O, and:O, then:O, dlsym:O, to:O, find:O, a:O, symbol:B-Organization, in:O, that:O, file:O, and:O, run:O, it:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 source process changes the registers in the target process so that PC register points directly to the shellcode .' [/INST] [The:O, source:O, process:O, changes:O, the:O, registers:O, in:O, the:O, target:O, process:O, so:O, that:O, PC:O, register:O, points:O, directly:O, to:O, the:O, shellcode:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 done using the ptrace syscall .' [/INST] [This:O, is:O, done:O, using:O, the:O, ptrace:O, syscall:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 diagram illustrates the whole process .' [/INST] [This:O, diagram:O, illustrates:O, the:O, whole:O, process:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Summary PHA authors go to great lengths to come up with increasingly clever ways to monetize their apps .' [/INST] [Summary:O, PHA:O, authors:O, go:O, to:O, great:O, lengths:O, to:O, come:O, up:O, with:O, increasingly:O, clever:O, ways:O, to:O, monetize:O, their:O, apps:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Zen family PHA authors exhibit a wide range of techniques , from simply inserting an advertising SDK to a sophisticated trojan .' [/INST] [Zen:B-Malware, family:O, PHA:O, authors:O, exhibit:O, a:O, wide:O, range:O, of:O, techniques:O, ,:O, from:O, simply:O, inserting:O, an:O, advertising:O, SDK:O, to:O, a:O, sophisticated:O, trojan:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 app that resulted in the largest number of affected users was the click fraud version , which was installed over 170,000 times at its peak in February 2018 .' [/INST] [The:O, app:O, that:O, resulted:O, in:O, the:O, largest:O, number:O, of:O, affected:O, users:O, was:O, the:O, click:O, fraud:O, version:O, ,:O, which:O, was:O, installed:O, over:O, 170,000:O, times:O, at:O, its:O, peak:O, in:O, February:O, 2018:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The most affected countries were India , Brazil , and Indonesia .' [/INST] [The:O, most:O, affected:O, countries:O, were:O, India:O, ,:O, Brazil:O, ,:O, and:O, Indonesia:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 most cases , these click fraud apps were uninstalled by the users , probably due to the low quality of the apps .' [/INST] [In:O, most:O, cases:O, ,:O, these:O, click:O, fraud:O, apps:O, were:O, uninstalled:O, by:O, the:O, users:O, ,:O, probably:O, due:O, to:O, the:O, low:O, quality:O, of:O, the:O, apps:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 Google Play Protect detects one of these apps , Google Play Protect will show a warning to users .' [/INST] [If:O, Google:B-System, Play:I-System, Protect:I-System, detects:O, one:O, of:O, these:O, apps:O, ,:O, Google:B-System, Play:I-System, Protect:I-System, will:O, show:O, a:O, warning:O, to:O, users:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We are constantly on the lookout for new threats and we are expanding our protections .' [/INST] [We:O, are:O, constantly:O, on:O, the:O, lookout:O, for:O, new:O, threats:O, and:O, we:O, are:O, expanding:O, our:O, protections:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Every device with Google Play includes Google Play Protect and all apps on Google Play are automatically and periodically scanned by our solutions .' [/INST] [Every:O, device:O, with:O, Google:B-System, Play:I-System, includes:O, Google:B-System, Play:I-System, Protect:I-System, and:O, all:O, apps:O, on:O, Google:B-System, Play:I-System, are:O, automatically:O, and:O, periodically:O, scanned:O, by:O, our: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: 'You can check the status of Google Play Protect on your device : Open your Android device 's Google Play Store app .' [/INST] [You:O, can:O, check:O, the:O, status:O, of:O, Google:B-System, Play:I-System, Protect:I-System, on:O, your:O, device:O, ::O, Open:O, your:O, Android:O, device:O, 's:O, Google:B-System, Play:I-System, Store:I-System, app:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Tap Menu > Play Protect .' [/INST] [Tap:O, Menu:O, >:O, Play:O, Protect:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Look for information about the status of your device .' [/INST] [Look:O, for:O, information:O, about:O, the:O, status:O, of:O, your:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Hashes of samples Type Package name SHA256 digest Custom ads com.targetshoot.zombieapocalypse.sniper.zombieshootinggame 5d98d8a7a012a858f0fa4cf8d2ed3d5a82937b1a98ea2703d440307c63c6c928 Click fraud com.counterterrorist.cs.elite.combat.shootinggame 84672fb2f228ec749d3c3c1cb168a1c31f544970fd29136bea2a5b2cefac6d04' [/INST] [Hashes:O, of:O, samples:O, Type:O, Package:O, name:O, SHA256:O, digest:O, Custom:O, ads:O, com.targetshoot.zombieapocalypse.sniper.zombieshootinggame:B-Indicator, 5d98d8a7a012a858f0fa4cf8d2ed3d5a82937b1a98ea2703d440307c63c6c928:B-Indicator, Click:O, fraud:O, com.counterterrorist.cs.elite.combat.shootinggame:B-Indicator, 84672fb2f228ec749d3c3c1cb168a1c31f544970fd29136bea2a5b2cefac6d04:B-Indicator] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Rooting trojan com.android.world.news bd233c1f5c477b0cc15d7f84392dab3a7a598243efa3154304327ff4580ae213 Zen trojan com.lmt.register eb12cd65589cbc6f9d3563576c304273cb6a78072b0c20a155a0951370476d8d Mobile Campaign ‘ Bouncing Golf ’ Affects Middle East We uncovered a cyberespionage campaign targeting Middle' [/INST] [Rooting:O, trojan:O, com.android.world.news:O, bd233c1f5c477b0cc15d7f84392dab3a7a598243efa3154304327ff4580ae213:B-Indicator, Zen:B-Malware, trojan:O, com.lmt.register:B-Indicator, eb12cd65589cbc6f9d3563576c304273cb6a78072b0c20a155a0951370476d8d:B-Indicator, Mobile:O, Campaign:O, ‘:O, Bouncing:B-Malware, Golf:I-Malware, ’:O, Affects:O, Middle:O, East:O, We:O, uncovered:O, a:O, cyberespionage:O, campaign:O, targeting:O, Middle:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Eastern countries .' [/INST] [Eastern:O, countries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We named this campaign “ Bouncing Golf ” based on the malware ’ s code in the package named “ golf. ” June 18 , 2019 We uncovered a cyberespionage campaign targeting Middle Eastern countries .' [/INST] [We:O, named:O, this:O, campaign:O, “:O, Bouncing:B-Malware, Golf:I-Malware, ”:O, based:O, on:O, the:O, malware:O, ’:O, s:O, code:O, in:O, the:O, package:O, named:O, “:O, golf.:O, ”:O, June:O, 18:O, ,:O, 2019:O, We:O, uncovered:O, a:O, cyberespionage:O, campaign:O, targeting:O, Middle:O, Eastern:O, countries:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We named this campaign “ Bouncing Golf ” based on the malware ’ s code in the package named “ golf. ” The malware involved , which Trend Micro detects as AndroidOS_GolfSpy.HRX , is notable for its wide range of cyberespionage capabilities .' [/INST] [We:O, named:O, this:O, campaign:O, “:O, Bouncing:B-Malware, Golf:I-Malware, ”:O, based:O, on:O, the:O, malware:O, ’:O, s:O, code:O, in:O, the:O, package:O, named:O, “:O, golf.:O, ”:O, The:O, malware:O, involved:O, ,:O, which:O, Trend:B-Organization, Micro:I-Organization, detects:O, as:O, AndroidOS_GolfSpy.HRX:B-Malware, ,:O, is:O, notable:O, for:O, its:O, wide:O, range:O, of:O, cyberespionage: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: 'Malicious codes are embedded in apps that the operators repackaged from legitimate applications .' [/INST] [Malicious:O, codes:O, are:O, embedded:O, in:O, apps:O, that:O, the:O, operators:O, repackaged:O, from:O, legitimate:O, applications:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Monitoring the command and control ( C & C ) servers used by Bouncing Golf , we ’ ve so far observed more than 660 Android devices infected with GolfSpy .' [/INST] [Monitoring:O, the:O, command:O, and:O, control:O, (:O, C:O, &:O, C:O, ):O, servers:O, used:O, by:O, Bouncing:B-Malware, Golf:I-Malware, ,:O, we:O, ’:O, ve:O, so:O, far:O, observed:O, more:O, than:O, 660:O, Android:B-System, devices:O, infected:O, with:O, GolfSpy:B-Malware, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Much of the information being stolen appear to be military-related .' [/INST] [Much:O, of:O, the:O, information:O, being:O, stolen:O, appear:O, to:O, be:O, military-related:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 campaign ’ s attack vector is also interesting .' [/INST] [The:O, campaign:O, ’:O, s:O, attack:O, vector:O, is:O, also:O, interesting:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 repackaged , malware-laden apps are neither on Google Play nor popular third-party app marketplaces , and we only saw the website hosting the malicious apps being promoted on social media when we followed GolfSpy ’ s trail .' [/INST] [These:O, repackaged:O, ,:O, malware-laden:O, apps:O, are:O, neither:O, on:O, Google:B-System, Play:I-System, nor:O, popular:O, third-party:O, app:O, marketplaces:O, ,:O, and:O, we:O, only:O, saw:O, the:O, website:O, hosting:O, the:O, malicious:O, apps:O, being:O, promoted:O, on:O, social:O, media:O, when:O, we:O, followed:O, GolfSpy:B-Malware, ’:O, s:O, trail:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We were also able to analyze some GolfSpy samples sourced from the Trend Micro mobile app reputation service .' [/INST] [We:O, were:O, also:O, able:O, to:O, analyze:O, some:O, GolfSpy:B-Malware, samples:O, sourced:O, from:O, the:O, Trend:B-Organization, Micro:I-Organization, mobile:O, app:O, reputation:O, service:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Also of note is Bouncing Golf ’ s possible connection to a previously reported mobile cyberespionage campaign that researchers named Domestic Kitten .' [/INST] [Also:O, of:O, note:O, is:O, Bouncing:B-Malware, Golf:I-Malware, ’:O, s:O, possible:O, connection:O, to:O, a:O, previously:O, reported:O, mobile:O, cyberespionage:O, campaign:O, that:O, researchers:O, named:O, Domestic:B-Malware, Kitten:I-Malware, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 strings of code , for one , are similarly structured .' [/INST] [The:O, strings:O, of:O, code:O, ,:O, for:O, one:O, ,:O, are:O, similarly:O, structured:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 targeted for theft also have similar formats .' [/INST] [The:O, data:O, targeted:O, for:O, theft:O, also:O, have:O, similar:O, formats:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 1 .' [/INST] [Figure:O, 1:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'GolfSpy ’ s infection chain GolfSpy 's Potential Impact Given GolfSpy ’ s information-stealing capabilities , this malware can effectively hijack an infected Android device .' [/INST] [GolfSpy:B-Malware, ’:O, s:O, infection:O, chain:O, GolfSpy:B-Malware, 's:O, Potential:O, Impact:O, Given:O, GolfSpy:B-Malware, ’:O, s:O, information-stealing:O, capabilities:O, ,:O, this:O, malware:O, can:O, effectively:O, hijack:O, an:O, infected:O, Android:B-System, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Here is a list of information that GolfSpy steals : Device accounts List of applications installed in the device Device ’ s current running processes Battery status Bookmarks/Histories of the device ’ s default browser Call logs and records Clipboard contents Contacts , including those in VCard format Mobile operator information Files stored on SDcard Device location List of image , audio , and video files stored on the device Storage and memory information Connection information Sensor information SMS messages Pictures GolfSpy also has a function that lets it connect to a remote server to fetch and perform commands' [/INST] [Here:O, is:O, a:O, list:O, of:O, information:O, that:O, GolfSpy:B-Malware, steals:O, ::O, Device:O, accounts:O, List:O, of:O, applications:O, installed:O, in:O, the:O, device:O, Device:O, ’:O, s:O, current:O, running:O, processes:O, Battery:O, status:O, Bookmarks/Histories:O, of:O, the:O, device:O, ’:O, s:O, default:O, browser:O, Call:O, logs:O, and:O, records:O, Clipboard:O, contents:O, Contacts:O, ,:O, including:O, those:O, in:O, VCard:O, format:O, Mobile:O, operator:O, information:O, Files:O, stored:O, on:O, SDcard:O, Device:O, location:O, List:O, of:O, image:O, ,:O, audio:O, ,:O, and:O, video:O, files:O, stored:O, on:O, the:O, device:O, Storage:O, and:O, memory:O, information:O, Connection:O, information:O, Sensor:O, information:O, SMS:O, messages:O, Pictures:O, GolfSpy:B-Malware, also:O, has:O, a:O, function:O, that:O, lets:O, it:O, connect:O, to:O, a:O, remote:O, server:O, to:O, fetch:O, and:O, perform:O, commands:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: ', including : searching for , listing , deleting , and renaming files as well as downloading a file into and retrieving a file from the device ; taking screenshots ; installing other application packages ( APK ) ; recording audio and video ; and updating the malware .' [/INST] [,:O, including:O, ::O, searching:O, for:O, ,:O, listing:O, ,:O, deleting:O, ,:O, and:O, renaming:O, files:O, as:O, well:O, as:O, downloading:O, a:O, file:O, into:O, and:O, retrieving:O, a:O, file:O, from:O, the:O, device:O, ;:O, taking:O, screenshots:O, ;:O, installing:O, other:O, application:O, packages:O, (:O, APK:O, ):O, ;:O, recording:O, audio:O, and:O, video:O, ;:O, and:O, updating:O, the:O, 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: 'Technical Analysis The repackaged applications are embedded with malicious code , which can be found in the com.golf package .' [/INST] [Technical:O, Analysis:O, The:O, repackaged:O, applications:O, are:O, embedded:O, with:O, malicious:O, code:O, ,:O, which:O, can:O, be:O, found:O, in:O, the:O, com.golf:B-Indicator, package:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 repackaged apps pose as communication , news , lifestyle , book , and reference apps popularly used in the Middle East .' [/INST] [These:O, repackaged:O, apps:O, pose:O, as:O, communication:O, ,:O, news:O, ,:O, lifestyle:O, ,:O, book:O, ,:O, and:O, reference:O, apps:O, popularly:O, used:O, in:O, the:O, Middle:O, East:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 GolfSpy malware embedded in the apps is hardcoded with an internal name used by the attacker .' [/INST] [The:O, GolfSpy:B-Malware, malware:O, embedded:O, in:O, the:O, apps:O, is:O, hardcoded:O, with:O, an:O, internal:O, name:O, used:O, by:O, the:O, attacker:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 2 .' [/INST] [Figure:O, 2:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Icons of the apps that Bouncing Golf ’ s operators repackaged ( top ) and a comparison of packages between the original legitimate app ( bottom left ) and GolfSpy ( bottom right ) Figure 3 .' [/INST] [Icons:O, of:O, the:O, apps:O, that:O, Bouncing:B-Malware, Golf:I-Malware, ’:O, s:O, operators:O, repackaged:O, (:O, top:O, ):O, and:O, a:O, comparison:O, of:O, packages:O, between:O, the:O, original:O, legitimate:O, app:O, (:O, bottom:O, left:O, ):O, and:O, GolfSpy:B-Malware, (:O, bottom:O, right:O, ):O, Figure:O, 3:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'GolfSpy ’ s configurations encoded by a custom algorithm ( right ) and its decoded version ( left ) As shown in Figure 3 , GolfSpy ’ s configurations ( e.g. , C & C server , secret keys ) are encoded by a customized algorithm .' [/INST] [GolfSpy:B-Malware, ’:O, s:O, configurations:O, encoded:O, by:O, a:O, custom:O, algorithm:O, (:O, right:O, ):O, and:O, its:O, decoded:O, version:O, (:O, left:O, ):O, As:O, shown:O, in:O, Figure:O, 3:O, ,:O, GolfSpy:B-Malware, ’:O, s:O, configurations:O, (:O, e.g.:O, ,:O, C:O, &:O, C:O, server:O, ,:O, secret:O, keys:O, ):O, are:O, encoded:O, by:O, a:O, customized:O, algorithm:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 it is launched , GolfSpy will generate a unique ID for the affected device and then collect its data such as SMS , contact list , location , and accounts in this format : “ % , [ ] , time ” ( shown in Figure 4 ) .' [/INST] [After:O, it:O, is:O, launched:O, ,:O, GolfSpy:B-Malware, will:O, generate:O, a:O, unique:O, ID:O, for:O, the:O, affected:O, device:O, and:O, then:O, collect:O, its:O, data:O, such:O, as:O, SMS:O, ,:O, contact:O, list:O, ,:O, location:O, ,:O, and:O, accounts:O, in:O, this:O, format:O, ::O, “:O, %:O, ,:O, [:O, ]:O, ,:O, time:O, ”:O, (:O, shown:O, in:O, Figure:O, 4: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 information is written into a file on the device .' [/INST] [The:O, information:O, is:O, written:O, into:O, a:O, file:O, on:O, the:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 attacker can choose the data types to collect , which are written in a certain format .' [/INST] [The:O, attacker:O, can:O, choose:O, the:O, data:O, types:O, to:O, collect:O, ,:O, which:O, are:O, written:O, in:O, a:O, certain:O, format:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 4 .' [/INST] [Figure:O, 4:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Code snippet showing GolfSpy generating UUID The value of % is in the range of 1-9 or a-j .' [/INST] [Code:O, snippet:O, showing:O, GolfSpy:B-Malware, generating:O, UUID:O, The:O, value:O, of:O, %:O, is:O, in:O, the:O, range:O, of:O, 1-9:O, or:O, a-j:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Each value represents a different type of data to steal from the device : Value Data Type 1 Accounts 2 Installed APP list 3 Running processes list 4 Battery status 5 Browser bookmarks and histories 6 Call logs 7 Clipboard 8 Contacts 9 Mobile operator information a File list on SD card b Location c Image list d Audio list e Video list f Storage and memory information g Connection information h Sensors information i SMS messages j VCard format contacts Table 1 .' [/INST] [Each:O, value:O, represents:O, a:O, different:O, type:O, of:O, data:O, to:O, steal:O, from:O, the:O, device:O, ::O, Value:O, Data:O, Type:O, 1:O, Accounts:O, 2:O, Installed:O, APP:O, list:O, 3:O, Running:O, processes:O, list:O, 4:O, Battery:O, status:O, 5:O, Browser:O, bookmarks:O, and:O, histories:O, 6:O, Call:O, logs:O, 7:O, Clipboard:O, 8:O, Contacts:O, 9:O, Mobile:O, operator:O, information:O, a:O, File:O, list:O, on:O, SD:O, card:O, b:O, Location:O, c:O, Image:O, list:O, d:O, Audio:O, list:O, e:O, Video:O, list:O, f:O, Storage:O, and:O, memory:O, information:O, g:O, Connection:O, information:O, h:O, Sensors:O, information:O, i:O, SMS:O, messages:O, j:O, VCard:O, format:O, contacts:O, Table:O, 1:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 type of data corresponding to the value coded in GolfSpy Figure 5 shows the code snippets that are involved in monitoring and recording the device ’ s phone call .' [/INST] [The:O, type:O, of:O, data:O, corresponding:O, to:O, the:O, value:O, coded:O, in:O, GolfSpy:B-Malware, Figure:O, 5:O, shows:O, the:O, code:O, snippets:O, that:O, are:O, involved:O, in:O, monitoring:O, and:O, recording:O, the:O, device:O, ’:O, s:O, phone:O, call:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 will also take a photo using the device ’ s front camera when the user wakes the device .' [/INST] [It:O, will:O, also:O, take:O, a:O, photo:O, using:O, the:O, device:O, ’:O, s:O, front:O, camera:O, when:O, the:O, user:O, wakes:O, the:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Apart from collecting the above data , the spyware monitors users ’ phone calls , records them , and saves the recorded file on the device .' [/INST] [Apart:O, from:O, collecting:O, the:O, above:O, data:O, ,:O, the:O, spyware:O, monitors:O, users:O, ’:O, phone:O, calls:O, ,:O, records:O, them:O, ,:O, and:O, saves:O, the:O, recorded:O, file:O, on:O, the:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'GolfSpy encrypts all the stolen data using a simple XOR operation with a pre-configured key before sending it to the C & C server using the HTTP POST method .' [/INST] [GolfSpy:B-Malware, encrypts:O, all:O, the:O, stolen:O, data:O, using:O, a:O, simple:O, XOR:O, operation:O, with:O, a:O, pre-configured:O, key:O, before:O, sending:O, it:O, to:O, the:O, C:O, &:O, C:O, server:O, using:O, the:O, HTTP:O, POST:O, method:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Figure 5 .' [/INST] [Figure:O, 5:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Code snippets showing how GolfSpy monitors phone calls via register receiver ( top left ) , its actions when the device is woken up ( top right ) , and how it encrypts the stolen data ( bottom ) The malware retrieves commands from the C & C server via HTTP , and attackers can steal specific files on the infected device .' [/INST] [Code:O, snippets:O, showing:O, how:O, GolfSpy:B-Malware, monitors:O, phone:O, calls:O, via:O, register:O, receiver:O, (:O, top:O, left:O, ):O, ,:O, its:O, actions:O, when:O, the:O, device:O, is:O, woken:O, up:O, (:O, top:O, right:O, ):O, ,:O, and:O, how:O, it:O, encrypts:O, the:O, stolen:O, data:O, (:O, bottom:O, ):O, The:O, malware:O, retrieves:O, commands:O, from:O, the:O, C:O, &:O, C:O, server:O, via:O, HTTP:O, ,:O, and:O, attackers:O, can:O, steal:O, specific:O, files:O, on:O, the:O, infected:O, device:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The command is a constructed string split into three parts using , , as a separator .' [/INST] [The:O, command:O, is:O, a:O, constructed:O, string:O, split:O, into:O, three:O, parts:O, using:O, ,:O, ,:O, as:O, a:O, separator:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The first part is the target directory , the second is a regular expression used to match specific files , while the last part is an ID .' [/INST] [The:O, first:O, part:O, is:O, the:O, target:O, directory:O, ,:O, the:O, second:O, is:O, a:O, regular:O, expression:O, used:O, to:O, match:O, specific:O, files:O, ,:O, while:O, the:O, last:O, part:O, is:O, an:O, ID:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 6 .' [/INST] [Figure:O, 6:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Example of a command that steals specific files from an infected device ’ s application ( top ) , and GolfSpy ’ s parse-and-perform command ( bottom ) Apart from the HTTP POST method , GolfSpy also creates a socket connection to the remote C & C server in order to receive and perform additional commands .' [/INST] [Example:O, of:O, a:O, command:O, that:O, steals:O, specific:O, files:O, from:O, an:O, infected:O, device:O, ’:O, s:O, application:O, (:O, top:O, ):O, ,:O, and:O, GolfSpy:B-Malware, ’:O, s:O, parse-and-perform:O, command:O, (:O, bottom:O, ):O, Apart:O, from:O, the:O, HTTP:O, POST:O, method:O, ,:O, GolfSpy:B-Malware, also:O, creates:O, a:O, socket:O, connection:O, to:O, the:O, remote:O, C:O, &:O, C:O, server:O, in:O, order:O, to:O, receive:O, and:O, perform:O, additional: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: 'Stolen data will also be encrypted and sent to the C & C server via the socket connection .' [/INST] [Stolen:O, data:O, will:O, also:O, be:O, encrypted:O, and:O, sent:O, to:O, the:O, C:O, &:O, C:O, server:O, via:O, the:O, socket:O, connection:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 encryption key is different from the one used for sending stolen data via HTTP .' [/INST] [The:O, encryption:O, key:O, is:O, different:O, from:O, the:O, one:O, used:O, for:O, sending:O, stolen:O, data:O, via:O, HTTP:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 7 .' [/INST] [Figure:O, 7:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 additional commands that attackers can carry out via a socket connection ( top ) and the key used to encrypt the stolen data ( bottom ) Correlating Bouncing Golf 's Activities We monitored Bouncing Golf ’ s C & C-related activities and saw that the campaign has affected more than 660 devices as of this writing .' [/INST] [The:O, additional:O, commands:O, that:O, attackers:O, can:O, carry:O, out:O, via:O, a:O, socket:O, connection:O, (:O, top:O, ):O, and:O, the:O, key:O, used:O, to:O, encrypt:O, the:O, stolen:O, data:O, (:O, bottom:O, ):O, Correlating:O, Bouncing:B-Malware, Golf:I-Malware, 's:O, Activities:O, We:O, monitored:O, Bouncing:B-Malware, Golf:I-Malware, ’:O, s:O, C:O, &:O, C-related:O, activities:O, and:O, saw:O, that:O, the:O, campaign:O, has:O, affected:O, more:O, than:O, 660:O, devices:O, as:O, of:O, this:O, writing:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide 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 small or limited number is understandable given the nature of this campaign , but we also expect it to increase or even diversify in terms of distribution .' [/INST] [The:O, small:O, or:O, limited:O, number:O, is:O, understandable:O, given:O, the:O, nature:O, of:O, this:O, campaign:O, ,:O, but:O, we:O, also:O, expect:O, it:O, to:O, increase:O, or:O, even:O, diversify:O, in:O, terms:O, of:O, distribution:O, .:O] </s> |
<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Most of the affected devices were located in the Middle East , and many of the stolen data we saw is military-related ( e.g. , images , documents ) .' [/INST] [Most:O, of:O, the:O, affected:O, devices:O, were:O, located:O, in:O, the:O, Middle:O, East:O, ,:O, and:O, many:O, of:O, the:O, stolen:O, data:O, we:O, saw:O, is:O, military-related:O, (:O, e.g.:O, ,:O, images:O, ,:O, documents: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: 'Bouncing Golf ’ s operators also try to cover their tracks .' [/INST] [Bouncing:B-Malware, Golf:I-Malware, ’:O, s:O, operators:O, also:O, try:O, to:O, cover:O, their:O, tracks:O, .:O] </s> |
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