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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: 'Figure 7 .' [/INST] [Figure:O, 7:O, .:O] </s>
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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: 'FinFisher loader calling native Windows API to perform anti-debugging tricks At this point , the fun in analysis is not over .' [/INST] [FinFisher:B-Malware, loader:O, calling:O, native:O, Windows:B-System, API:O, to:O, perform:O, anti-debugging:O, tricks:O, At:O, this:O, point:O, ,:O, the:O, fun:O, in:O, analysis:O, is:O, not:O, over:O, .:O] </s>
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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: 'A lot of additional anti-sandbox checks are performed in this exact order : Check that the malware is not executed under the root folder of a drive Check that the malware file is readable from an external source Check that the hash of base path is not 3D6D62AF1A7C8053DBC8E110A530C679 Check that the full malware path contains only human readable characters ( “ a-z ” , “ A-Z ” , and “ 0-9 ” ) Check that no node in the full path contains the MD5 string of the malware' [/INST] [A:O, lot:O, of:O, additional:O, anti-sandbox:O, checks:O, are:O, performed:O, in:O, this:O, exact:O, order:O, ::O, Check:O, that:O, the:O, malware:O, is:O, not:O, executed:O, under:O, the:O, root:O, folder:O, of:O, a:O, drive:O, Check:O, that:O, the:O, malware:O, file:O, is:O, readable:O, from:O, an:O, external:O, source:O, Check:O, that:O, the:O, hash:O, of:O, base:O, path:O, is:O, not:O, 3D6D62AF1A7C8053DBC8E110A530C679:B-Indicator, Check:O, that:O, the:O, full:O, malware:O, path:O, contains:O, only:O, human:O, readable:O, characters:O, (:O, “:O, a-z:O, ”:O, ,:O, “:O, A-Z:O, ”:O, ,:O, and:O, “:O, 0-9:O, ”:O, ):O, Check:O, that:O, no:O, node:O, in:O, the:O, full:O, path:O, contains:O, the:O, MD5:O, string:O, of:O, the:O, malware:O] </s>
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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: 'file Fingerprint the system and check the following registry values : HKLM\SOFTWARE\Microsoft\Cryptography\MachineGuid should not be “ 6ba1d002-21ed-4dbe-afb5-08cf8b81ca32 ” HKLM\SOFTWARE\Microsoft\Windows NT\CurrentVersion\DigitalProductId should not be “ 55274-649-6478953-23109 ” , “ A22-00001 ” , or “ 47220 ” HARDWARE\Description\System\SystemBiosDate should not contain “ 01/02/03 ”' [/INST] [file:O, Fingerprint:O, the:O, system:O, and:O, check:O, the:O, following:O, registry:O, values:O, ::O, HKLM\SOFTWARE\Microsoft\Cryptography\MachineGuid:B-Indicator, should:O, not:O, be:O, “:O, 6ba1d002-21ed-4dbe-afb5-08cf8b81ca32:B-Indicator, ”:O, HKLM\SOFTWARE\Microsoft\Windows:B-Indicator, NT\CurrentVersion\DigitalProductId:I-Indicator, should:O, not:O, be:O, “:O, 55274-649-6478953-23109:B-Indicator, ”:O, ,:O, “:O, A22-00001:B-Indicator, ”:O, ,:O, or:O, “:O, 47220:B-Indicator, ”:O, HARDWARE\Description\System\SystemBiosDate:B-Indicator, should:O, not:O, contain:O, “:O, 01/02/03:O, ”:O] </s>
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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: 'Check that the mutex WininetStartupMutex0 does not already exist Check that no DLL whose base name has hash value of 0xC9CEF3E4 is mapped into the malware address space The hashes in these checks are most likely correspond to sandbox or security products that the FinFisher authors want to avoid .' [/INST] [Check:O, that:O, the:O, mutex:O, WininetStartupMutex0:O, does:O, not:O, already:O, exist:O, Check:O, that:O, no:O, DLL:O, whose:O, base:O, name:O, has:O, hash:O, value:O, of:O, 0xC9CEF3E4:B-Indicator, is:O, mapped:O, into:O, the:O, malware:O, address:O, space:O, The:O, hashes:O, in:O, these:O, checks:O, are:O, most:O, likely:O, correspond:O, to:O, sandbox:O, or:O, security:O, products:O, that:O, the:O, FinFisher:B-Malware, authors:O, want:O, to:O, avoid:O, .:O] </s>
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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: 'Next , the loader checks that it ’ s not running in a virtualized environment ( VMWare or Hyper-V ) or under a debugger .' [/INST] [Next:O, ,:O, the:O, loader:O, checks:O, that:O, it:O, ’:O, s:O, not:O, running:O, in:O, a:O, virtualized:O, environment:O, (:O, VMWare:B-System, or:O, Hyper-V:B-System, ):O, or:O, under:O, a:O, debugger:O, .:O] </s>
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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: 'For the hardware virtualization check , the loader obtains the hardware device list and checks if the MD5 of the vendor ID is equal to a predefined list .' [/INST] [For:O, the:O, hardware:O, virtualization:O, check:O, ,:O, the:O, loader:O, obtains:O, the:O, hardware:O, device:O, list:O, and:O, checks:O, if:O, the:O, MD5:O, of:O, the:O, vendor:O, ID:O, is:O, equal:O, to:O, a:O, predefined:O, list:O, .:O] </s>
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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: 'In our tests , the malware sample was able to easily detect both VMWare and Hyper-V environments through the detection of the virtualized peripherals ( for example , Vmware has VEN_15AD as vendor ID , HyperV has VMBus as bus name ) .' [/INST] [In:O, our:O, tests:O, ,:O, the:O, malware:O, sample:O, was:O, able:O, to:O, easily:O, detect:O, both:O, VMWare:B-System, and:O, Hyper-V:B-System, environments:O, through:O, the:O, detection:O, of:O, the:O, virtualized:O, peripherals:O, (:O, for:O, example:O, ,:O, Vmware:B-Organization, has:O, VEN_15AD:O, as:O, vendor:O, ID:O, ,:O, HyperV:O, has:O, VMBus:O, as:O, bus:O, name:O, ):O, .:O] </s>
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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: 'Office 365 ATP sandbox employs special mechanisms to avoid being detected by similar checks .' [/INST] [Office:B-System, 365:I-System, ATP:I-System, sandbox:O, employs:O, special:O, mechanisms:O, to:O, avoid:O, being:O, detected:O, by:O, similar:O, checks:O, .:O] </s>
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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 loader ’ s anti-debugger code is based on the following three methods : The first call aims to destroy the debugger connection : NOTE : This call completely stops the execution of WinDbg and other debuggers The second call tries to detect the presence of a debugger : The final call tries to destroy the possibility of adding software breakpoint : Finally , if the loader is happy with all the checks done so far , based on the victim operating system ( 32 or 64-bit ) it proceeds to decrypt a set of fake bitmap resources ( stage 2' [/INST] [The:O, loader:O, ’:O, s:O, anti-debugger:O, code:O, is:O, based:O, on:O, the:O, following:O, three:O, methods:O, ::O, The:O, first:O, call:O, aims:O, to:O, destroy:O, the:O, debugger:O, connection:O, ::O, NOTE:O, ::O, This:O, call:O, completely:O, stops:O, the:O, execution:O, of:O, WinDbg:O, and:O, other:O, debuggers:O, The:O, second:O, call:O, tries:O, to:O, detect:O, the:O, presence:O, of:O, a:O, debugger:O, ::O, The:O, final:O, call:O, tries:O, to:O, destroy:O, the:O, possibility:O, of:O, adding:O, software:O, breakpoint:O, ::O, Finally:O, ,:O, if:O, the:O, loader:O, is:O, happy:O, with:O, all:O, the:O, checks:O, done:O, so:O, far:O, ,:O, based:O, on:O, the:O, victim:O, operating:O, system:O, (:O, 32:O, or:O, 64-bit:O, ):O, it:O, proceeds:O, to:O, decrypt:O, a:O, set:O, of:O, fake:O, bitmap:O, resources:O, (:O, stage:O, 2:O] </s>
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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: ') embedded in the executable and prepares the execution of a new layer of VM decoding .' [/INST] [):O, embedded:O, in:O, the:O, executable:O, and:O, prepares:O, the:O, execution:O, of:O, a:O, new:O, layer:O, of:O, VM:O, decoding:O, .:O] </s>
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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: 'Each bitmap resource is extracted , stripped of the first 0x428 bytes ( BMP headers and garbage data ) , and combined into one file .' [/INST] [Each:O, bitmap:O, resource:O, is:O, extracted:O, ,:O, stripped:O, of:O, the:O, first:O, 0x428:O, bytes:O, (:O, BMP:O, headers:O, and:O, garbage:O, data:O, ):O, ,:O, and:O, combined:O, into:O, one:O, file:O, .:O] </s>
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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 block is decrypted using a customized algorithm that uses a key derived from the original malware dropper ’ s TimeDateStamp field multiplied by 5 .' [/INST] [The:O, block:O, is:O, decrypted:O, using:O, a:O, customized:O, algorithm:O, that:O, uses:O, a:O, key:O, derived:O, from:O, the:O, original:O, malware:O, dropper:O, ’:O, s:O, TimeDateStamp:O, field:O, multiplied:O, by:O, 5:O, .:O] </s>
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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: 'Figure 8 .' [/INST] [Figure:O, 8:O, .:O] </s>
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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 fake bitmap image embedded as resource The 32-bit stage 2 malware uses a customized loading mechanism ( i.e. , the PE file has a scrambled IAT and relocation table ) and exports only one function .' [/INST] [The:O, fake:O, bitmap:O, image:O, embedded:O, as:O, resource:O, The:O, 32-bit:O, stage:O, 2:O, malware:O, uses:O, a:O, customized:O, loading:O, mechanism:O, (:O, i.e.:O, ,:O, the:O, PE:O, file:O, has:O, a:O, scrambled:O, IAT:O, and:O, relocation:O, table:O, ):O, and:O, exports:O, only:O, one:O, function:O, .:O] </s>
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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: 'For the 64-bit stage 2 malware , the code execution is transferred from the loader using a well-known technique called Heaven ’ s Gate .' [/INST] [For:O, the:O, 64-bit:O, stage:O, 2:O, malware:O, ,:O, the:O, code:O, execution:O, is:O, transferred:O, from:O, the:O, loader:O, using:O, a:O, well-known:O, technique:O, called:O, Heaven:O, ’:O, s:O, Gate:O, .:O] </s>
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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: 'In the next sections , for simplicity , we will continue the analysis only on the 64-bit payload .' [/INST] [In:O, the:O, next:O, sections:O, ,:O, for:O, simplicity:O, ,:O, we:O, will:O, continue:O, the:O, analysis:O, only:O, on:O, the:O, 64-bit:O, payload:O, .:O] </s>
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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: 'Figure 9 .' [/INST] [Figure:O, 9:O, .:O] </s>
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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: 'Heaven ’ s gate is still in use in 2017 Stage 2 : A second multi-platform virtual machine The 64-bit stage 2 malware implements another loader combined with another virtual machine .' [/INST] [Heaven:O, ’:O, s:O, gate:O, is:O, still:O, in:O, use:O, in:O, 2017:O, Stage:O, 2:O, ::O, A:O, second:O, multi-platform:O, virtual:O, machine:O, The:O, 64-bit:O, stage:O, 2:O, malware:O, implements:O, another:O, loader:O, combined:O, with:O, another:O, virtual:O, machine:O, .:O] </s>
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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 architecture is quite similar to the one described previously , but the opcodes are slightly different .' [/INST] [The:O, architecture:O, is:O, quite:O, similar:O, to:O, the:O, one:O, described:O, previously:O, ,:O, but:O, the:O, opcodes:O, are:O, slightly:O, different:O, .:O] </s>
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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: 'After reversing these opcodes , we were able to update our interpreter script to support both 32-bit and 64-bit virtual machines used by FinFisher .' [/INST] [After:O, reversing:O, these:O, opcodes:O, ,:O, we:O, were:O, able:O, to:O, update:O, our:O, interpreter:O, script:O, to:O, support:O, both:O, 32-bit:O, and:O, 64-bit:O, virtual:O, machines:O, used:O, by:O, FinFisher:B-Malware, .:O] </s>
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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: 'INDEX MNEMONIC DESCRIPTION 0x0 JMP Special obfuscated conditional Jump ( always taken or always ignored ) 0x1 JMP Jump to a function ( same as opcode 0x10 ) 0x2 CALL Call to the function pointed by the internal VM value 0x3 CALL Optimized CALL function ( like the 0x1E opcode of the 32-bit VM ) 0x4 EXEC Execute code and move to the next packet 0x5 JMP Jump to an internal function 0x6 NOP No operation , move to the' [/INST] [INDEX:O, MNEMONIC:O, DESCRIPTION:O, 0x0:O, JMP:O, Special:O, obfuscated:O, conditional:O, Jump:O, (:O, always:O, taken:O, or:O, always:O, ignored:O, ):O, 0x1:O, JMP:O, Jump:O, to:O, a:O, function:O, (:O, same:O, as:O, opcode:O, 0x10:O, ):O, 0x2:O, CALL:O, Call:O, to:O, the:O, function:O, pointed:O, by:O, the:O, internal:O, VM:O, value:O, 0x3:O, CALL:O, Optimized:O, CALL:O, function:O, (:O, like:O, the:O, 0x1E:O, opcode:O, of:O, the:O, 32-bit:O, VM:O, ):O, 0x4:O, EXEC:O, Execute:O, code:O, and:O, move:O, to:O, the:O, next:O, packet:O, 0x5:O, JMP:O, Jump:O, to:O, an:O, internal:O, function:O, 0x6:O, NOP:O, No:O, operation:O, ,:O, move:O, to:O, the:O] </s>
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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: 'next packet 0x7 CALL Call an imported API ( whose address is stored in the internal VM value ) 0x8 LOAD Load a value into the VM descriptor structure * 0x9 STORE Store the internal VM value inside a register 0xA WRITE Resolve a pointer and store the value of a register in its content 0xB READ Move the value pointed by the VM internal value into a register 0xC LOAD Load a value into the VM descriptor structure ( not optimized ) 0xD CMP Compare the value pointed by the internal VM descriptor' [/INST] [next:O, packet:O, 0x7:O, CALL:O, Call:O, an:O, imported:O, API:O, (:O, whose:O, address:O, is:O, stored:O, in:O, the:O, internal:O, VM:O, value:O, ):O, 0x8:O, LOAD:O, Load:O, a:O, value:O, into:O, the:O, VM:O, descriptor:O, structure:O, *:O, 0x9:O, STORE:O, Store:O, the:O, internal:O, VM:O, value:O, inside:O, a:O, register:O, 0xA:O, WRITE:O, Resolve:O, a:O, pointer:O, and:O, store:O, the:O, value:O, of:O, a:O, register:O, in:O, its:O, content:O, 0xB:O, READ:O, Move:O, the:O, value:O, pointed:O, by:O, the:O, VM:O, internal:O, value:O, into:O, a:O, register:O, 0xC:O, LOAD:O, Load:O, a:O, value:O, into:O, the:O, VM:O, descriptor:O, structure:O, (:O, not:O, optimized:O, ):O, 0xD:O, CMP:O, Compare:O, the:O, value:O, pointed:O, by:O, the:O, internal:O, VM:O, descriptor:O] </s>
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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: 'with a register 0xE CMP Compare the value pointed by the internal VM descriptor with an immediate value 0xF XCHG Exchange the value pointed by the internal VM descriptor with a register 0x10 SHL Jump to a function ( same as opcode 0x1 ) This additional virtual machine performs the same duties as the one already described but in a 64-bit environment .' [/INST] [with:O, a:O, register:O, 0xE:O, CMP:O, Compare:O, the:O, value:O, pointed:O, by:O, the:O, internal:O, VM:O, descriptor:O, with:O, an:O, immediate:O, value:O, 0xF:O, XCHG:O, Exchange:O, the:O, value:O, pointed:O, by:O, the:O, internal:O, VM:O, descriptor:O, with:O, a:O, register:O, 0x10:O, SHL:O, Jump:O, to:O, a:O, function:O, (:O, same:O, as:O, opcode:O, 0x1:O, ):O, This:O, additional:O, virtual:O, machine:O, performs:O, the:O, same:O, duties:O, as:O, the:O, one:O, already:O, described:O, but:O, in:O, a:O, 64-bit:O, environment:O, .:O] </s>
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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: 'It extracts and decrypts the stage 3 malware , which is stored in encrypted resources such as fake dialog boxes .' [/INST] [It:O, extracts:O, and:O, decrypts:O, the:O, stage:O, 3:O, malware:O, ,:O, which:O, is:O, stored:O, in:O, encrypted:O, resources:O, such:O, as:O, fake:O, dialog:O, boxes:O, .:O] </s>
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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 extraction method is the same , but the encryption algorithm ( also XOR ) is much simpler .' [/INST] [The:O, extraction:O, method:O, is:O, the:O, same:O, ,:O, but:O, the:O, encryption:O, algorithm:O, (:O, also:O, XOR:O, ):O, is:O, much:O, simpler:O, .:O] </s>
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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 new payload is decrypted , remapped , and executed in memory , and represents the installation and persistence stage of the malware .' [/INST] [The:O, new:O, payload:O, is:O, decrypted:O, ,:O, remapped:O, ,:O, and:O, executed:O, in:O, memory:O, ,:O, and:O, represents:O, the:O, installation:O, and:O, persistence:O, stage:O, of:O, the:O, malware:O, .:O] </s>
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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: 'Stage 3 : Installer that takes DLL side-loading to a new level Stage 3 represents the setup program for FinFisher .' [/INST] [Stage:O, 3:O, ::O, Installer:O, that:O, takes:O, DLL:O, side-loading:O, to:O, a:O, new:O, level:O, Stage:O, 3:O, represents:O, the:O, setup:O, program:O, for:O, FinFisher:B-Malware, .:O] </s>
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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: 'It is the first plain stage that does not employ a VM or obfuscation .' [/INST] [It:O, is:O, the:O, first:O, plain:O, stage:O, that:O, does:O, not:O, employ:O, a:O, VM:O, or:O, obfuscation:O, .:O] </s>
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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 code supports two different installation methods : setup in a UAC-enforced environment ( with limited privileges ) , or an installation with full-administrative privileges enabled ( in cases where the malware gains the ability to run with elevated permissions ) .' [/INST] [The:O, code:O, supports:O, two:O, different:O, installation:O, methods:O, ::O, setup:O, in:O, a:O, UAC-enforced:B-System, environment:I-System, (:O, with:O, limited:O, privileges:O, ):O, ,:O, or:O, an:O, installation:O, with:O, full-administrative:O, privileges:O, enabled:O, (:O, in:O, cases:O, where:O, the:O, malware:O, gains:O, the:O, ability:O, to:O, run:O, with:O, elevated:O, permissions:O, ):O, .:O] </s>
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<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We were a bit disappointed that we did not see traces of a true privilege escalation exploit after all this deobfuscation work , but it seems these FinFisher samples were designed to work just using UAC bypasses .' [/INST] [We:O, were:O, a:O, bit:O, disappointed:O, that:O, we:O, did:O, not:O, see:O, traces:O, of:O, a:O, true:O, privilege:B-Vulnerability, escalation:I-Vulnerability, exploit:I-Vulnerability, after:O, all:O, this:O, deobfuscation:O, work:O, ,:O, but:O, it:O, seems:O, these:O, FinFisher:B-Malware, samples:O, were:O, designed:O, to:O, work:O, just:O, using:O, UAC:O, bypasses:O, .:O] </s>
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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 setup code receives an installation command from the previous stage .' [/INST] [The:O, setup:O, code:O, receives:O, an:O, installation:O, command:O, from:O, the:O, previous:O, stage:O, .:O] </s>
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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: 'In our test , this command was the value 3 .' [/INST] [In:O, our:O, test:O, ,:O, this:O, command:O, was:O, the:O, value:O, 3:O, .:O] </s>
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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 malware creates a global event named 0x0A7F1FFAB12BB2 and drops some files under a folder located in C : \ProgramData or in the user application data folder .' [/INST] [The:O, malware:O, creates:O, a:O, global:O, event:O, named:O, 0x0A7F1FFAB12BB2:B-Indicator, and:O, drops:O, some:O, files:O, under:O, a:O, folder:O, located:O, in:O, C:B-Indicator, ::I-Indicator, \ProgramData:I-Indicator, or:O, in:O, the:O, user:O, application:O, data:O, folder:O, .:O] </s>
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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 name of the folder and the malware configuration are read from a customized configuration file stored in the resource section of the setup program .' [/INST] [The:O, name:O, of:O, the:O, folder:O, and:O, the:O, malware:O, configuration:O, are:O, read:O, from:O, a:O, customized:O, configuration:O, file:O, stored:O, in:O, the:O, resource:O, section:O, of:O, the:O, setup:O, program:O, .:O] </s>
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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: 'Here the list of the files potentially dropped during the installation stage : FILE NAME STAGE DESCRIPTION d3d9.dll Stage 4 Malware loader used for UAC environments with limited privileges ; also protected by VM obfuscation aepic.dll , sspisrv.dll , userenv.dll Stage 4 Malware loader used in presence of administrative privileges ; executed from ( and injected into ) a fake service ; also protected by VM obfuscation msvcr90.dll Stage 5 Malware payload injected into' [/INST] [Here:O, the:O, list:O, of:O, the:O, files:O, potentially:O, dropped:O, during:O, the:O, installation:O, stage:O, ::O, FILE:O, NAME:O, STAGE:O, DESCRIPTION:O, d3d9.dll:B-Indicator, Stage:O, 4:O, Malware:O, loader:O, used:O, for:O, UAC:O, environments:O, with:O, limited:O, privileges:O, ;:O, also:O, protected:O, by:O, VM:O, obfuscation:O, aepic.dll:B-Indicator, ,:O, sspisrv.dll:B-Indicator, ,:O, userenv.dll:B-Indicator, Stage:O, 4:O, Malware:O, loader:O, used:O, in:O, presence:O, of:O, administrative:O, privileges:O, ;:O, executed:O, from:O, (:O, and:O, injected:O, into:O, ):O, a:O, fake:O, service:O, ;:O, also:O, protected:O, by:O, VM:O, obfuscation:O, msvcr90.dll:B-Indicator, Stage:O, 5:O, Malware:O, payload:O, injected:O, into:O] </s>
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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 explorer.exe or winlogon.exe process ; also protected by VM obfuscation .cab Config Main configuration file ; encrypted setup.cab Unknown Last section of the setup executable ; content still unknown .7z Plugin Malware plugin used to spy the victim network communications wsecedit.rar Stage 6 Main malware executable After writing some of these files , the malware decides which kind of installation to perform based on the current privilege provided by the hosting process ( for example , if a Microsoft Office process was used as exploit vector ) : Installation process under' [/INST] [the:O, explorer.exe:B-Indicator, or:O, winlogon.exe:B-Indicator, process:O, ;:O, also:O, protected:O, by:O, VM:O, obfuscation:O, .cab:O, Config:O, Main:O, configuration:O, file:O, ;:O, encrypted:O, setup.cab:B-Indicator, Unknown:O, Last:O, section:O, of:O, the:O, setup:O, executable:O, ;:O, content:O, still:O, unknown:O, .7z:O, Plugin:O, Malware:O, plugin:O, used:O, to:O, spy:O, the:O, victim:O, network:O, communications:O, wsecedit.rar:B-Indicator, Stage:O, 6:O, Main:O, malware:O, executable:O, After:O, writing:O, some:O, of:O, these:O, files:O, ,:O, the:O, malware:O, decides:O, which:O, kind:O, of:O, installation:O, to:O, perform:O, based:O, on:O, the:O, current:O, privilege:O, provided:O, by:O, the:O, hosting:O, process:O, (:O, for:O, example:O, ,:O, if:O, a:O, Microsoft:B-System, Office:I-System, process:O, was:O, used:O, as:O, exploit:O, vector:O, ):O, ::O, Installation:O, process:O, under:O] </s>
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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: 'UAC When running under a limited UAC account , the installer extracts d3d9.dll and creates a persistence key under HKCU\Software\Microsoft\Windows\Run .' [/INST] [UAC:O, When:O, running:O, under:O, a:O, limited:O, UAC:O, account:O, ,:O, the:O, installer:O, extracts:O, d3d9.dll:B-Indicator, and:O, creates:O, a:O, persistence:O, key:O, under:O, HKCU\Software\Microsoft\Windows\Run:B-Indicator, .:O] </s>
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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 malware sets a registry value ( whose name is read from the configuration file ) to “ C : \Windows\system32\rundll32.exe c : \ProgramData\AuditApp\d3d9.dll , Control_Run ” .' [/INST] [The:O, malware:O, sets:O, a:O, registry:O, value:O, (:O, whose:O, name:O, is:O, read:O, from:O, the:O, configuration:O, file:O, ):O, to:O, “:O, C:B-Indicator, ::I-Indicator, \Windows\system32\rundll32.exe:I-Indicator, c:B-Indicator, ::I-Indicator, \ProgramData\AuditApp\d3d9.dll:I-Indicator, ,:I-Indicator, Control_Run:B-Indicator, ”:O, .:O] </s>
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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: 'Before doing this , the malware makes a screenshot of the screen and displays it on top of all other windows for few seconds .' [/INST] [Before:O, doing:O, this:O, ,:O, the:O, malware:O, makes:O, a:O, screenshot:O, of:O, the:O, screen:O, and:O, displays:O, it:O, on:O, top:O, of:O, all:O, other:O, windows:B-System, for:O, few:O, seconds:O, .:O] </s>
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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 indicates that the authors are trying to hide some messages showed by the system during the setup process .' [/INST] [This:O, indicates:O, that:O, the:O, authors:O, are:O, trying:O, to:O, hide:O, some:O, messages:O, showed:O, by:O, the:O, system:O, during:O, the:O, setup:O, process:O, .:O] </s>
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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: 'When loaded with startup command 2 , the installer can copy the original explorer.exe file inside its current running directory and rename d3d9.dll to uxtheme.dll .' [/INST] [When:O, loaded:O, with:O, startup:O, command:O, 2:O, ,:O, the:O, installer:O, can:O, copy:O, the:O, original:O, explorer.exe:B-Indicator, file:I-Indicator, inside:O, its:O, current:O, running:O, directory:O, and:O, rename:O, d3d9.dll:B-Indicator, to:O, uxtheme.dll:B-Indicator, .:O] </s>
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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: 'In this case the persistence is achieved by loading the original explorer.exe from its startup location and , using DLL side-loading , passing the execution control to the stage 4 malware ( discussed in next section ) .' [/INST] [In:O, this:O, case:O, the:O, persistence:O, is:O, achieved:O, by:O, loading:O, the:O, original:O, explorer.exe:B-Indicator, from:O, its:O, startup:O, location:O, and:O, ,:O, using:O, DLL:O, side-loading:O, ,:O, passing:O, the:O, execution:O, control:O, to:O, the:O, stage:O, 4:O, malware:O, (:O, discussed:O, in:O, next:O, section:O, ):O, .:O] </s>
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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: 'Finally , the malware spawns a thread that has the goal to load , remap , and relocate the stage 5 malware .' [/INST] [Finally:O, ,:O, the:O, malware:O, spawns:O, a:O, thread:O, that:O, has:O, the:O, goal:O, to:O, load:O, ,:O, remap:O, ,:O, and:O, relocate:O, the:O, stage:O, 5:O, malware:O, .:O] </s>
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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: 'In this context , there is indeed no need to execute the stage 4 malware .' [/INST] [In:O, this:O, context:O, ,:O, there:O, is:O, indeed:O, no:O, need:O, to:O, execute:O, the:O, stage:O, 4:O, malware:O, .:O] </s>
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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 msvcr90.dll file is opened , read , and decrypted , and the code execution control is transferred to the RunDll exported routine .' [/INST] [The:O, msvcr90.dll:B-Indicator, file:I-Indicator, is:O, opened:O, ,:O, read:O, ,:O, and:O, decrypted:O, ,:O, and:O, the:O, code:O, execution:O, control:O, is:O, transferred:O, to:O, the:O, RunDll:O, exported:O, routine:O, .:O] </s>
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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: 'In the case of 32-bit systems , the malware may attempt a known UAC bypass by launching printui.exe system process and using token manipulation with NtFilterToken as described in this blog post .' [/INST] [In:O, the:O, case:O, of:O, 32-bit:O, systems:O, ,:O, the:O, malware:O, may:O, attempt:O, a:O, known:O, UAC:O, bypass:O, by:O, launching:O, printui.exe:B-Indicator, system:O, process:O, and:O, using:O, token:O, manipulation:O, with:O, NtFilterToken:O, as:O, described:O, in:O, this:O, blog:O, post:O, .:O] </s>
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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: 'Installation process with administrative privilege This installation method is more interesting because it reveals how the malware tries to achieve stealthier persistence on the machine .' [/INST] [Installation:O, process:O, with:O, administrative:O, privilege:O, This:O, installation:O, method:O, is:O, more:O, interesting:O, because:O, it:O, reveals:O, how:O, the:O, malware:O, tries:O, to:O, achieve:O, stealthier:O, persistence:O, on:O, the:O, machine:O, .:O] </s>
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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 method is a well-known trick used by penetration testers that was automated and generalized by FinFisher The procedure starts by enumerating the KnownDlls object directory and then scanning for section objects of the cached system DLLs .' [/INST] [The:O, method:O, is:O, a:O, well-known:O, trick:O, used:O, by:O, penetration:O, testers:O, that:O, was:O, automated:O, and:O, generalized:O, by:O, FinFisher:B-Malware, The:O, procedure:O, starts:O, by:O, enumerating:O, the:O, KnownDlls:O, object:O, directory:O, and:O, then:O, scanning:O, for:O, section:O, objects:O, of:O, the:O, cached:O, system:O, DLLs:O, .:O] </s>
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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: 'Next , the malware enumerates all .exe programs in the % System % folder and looks for an original signed Windows binary that imports from at least one KnownDll and from a library that is not in the KnownDll directory .' [/INST] [Next:O, ,:O, the:O, malware:O, enumerates:O, all:O, .exe:O, programs:O, in:O, the:O, %:O, System:O, %:O, folder:O, and:O, looks:O, for:O, an:O, original:O, signed:O, Windows:B-System, binary:O, that:O, imports:O, from:O, at:O, least:O, one:O, KnownDll:O, and:O, from:O, a:O, library:O, that:O, is:O, not:O, in:O, the:O, KnownDll:O, directory:O, .:O] </s>
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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: 'When a suitable .exe file candidate is found , it is copied into the malware installation folder ( for example , C : \ProgramData ) .' [/INST] [When:O, a:O, suitable:O, .exe:O, file:O, candidate:O, is:O, found:O, ,:O, it:O, is:O, copied:O, into:O, the:O, malware:O, installation:O, folder:O, (:O, for:O, example:O, ,:O, C:B-Indicator, ::I-Indicator, \ProgramData:I-Indicator, ):O, .:O] </s>
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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: 'At this point the malware extracts and decrypts a stub DLL from its own resources ( ID 101 ) .' [/INST] [At:O, this:O, point:O, the:O, malware:O, extracts:O, and:O, decrypts:O, a:O, stub:O, DLL:O, from:O, its:O, own:O, resources:O, (:O, ID:O, 101:O, ):O, .:O] </s>
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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: 'It then calls a routine that adds a code section to a target module .' [/INST] [It:O, then:O, calls:O, a:O, routine:O, that:O, adds:O, a:O, code:O, section:O, to:O, a:O, target:O, module:O, .:O] </s>
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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 section will contain a fake export table mimicking the same export table of the original system DLL chosen .' [/INST] [This:O, section:O, will:O, contain:O, a:O, fake:O, export:O, table:O, mimicking:O, the:O, same:O, export:O, table:O, of:O, the:O, original:O, system:O, DLL:O, chosen:O, .:O] </s>
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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: 'At the time of writing , the dropper supports aepic.dll , sspisrv.dll , ftllib.dll , and userenv.dll to host the malicious FinFisher payload .' [/INST] [At:O, the:O, time:O, of:O, writing:O, ,:O, the:O, dropper:O, supports:O, aepic.dll:B-Indicator, ,:O, sspisrv.dll:B-Indicator, ,:O, ftllib.dll:B-Indicator, ,:O, and:O, userenv.dll:B-Indicator, to:O, host:O, the:O, malicious:O, FinFisher:B-Malware, payload:O, .:O] </s>
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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: 'Finally , a new Windows service is created with the service path pointing to the candidate .exe located in this new directory together with the freshly created , benign-looking DLL .' [/INST] [Finally:O, ,:O, a:O, new:O, Windows:B-System, service:O, is:O, created:O, with:O, the:O, service:O, path:O, pointing:O, to:O, the:O, candidate:O, .exe:O, located:O, in:O, this:O, new:O, directory:O, together:O, with:O, the:O, freshly:O, created:O, ,:O, benign-looking:O, DLL:O, .:O] </s>
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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: 'In this way , when the service runs during boot , the original Windows executable is executed from a different location and it will automatically load and map the malicious DLL inside its address space , instead of using the genuine system library .' [/INST] [In:O, this:O, way:O, ,:O, when:O, the:O, service:O, runs:O, during:O, boot:O, ,:O, the:O, original:O, Windows:B-System, executable:O, is:O, executed:O, from:O, a:O, different:O, location:O, and:O, it:O, will:O, automatically:O, load:O, and:O, map:O, the:O, malicious:O, DLL:O, inside:O, its:O, address:O, space:O, ,:O, instead:O, of:O, using:O, the:O, genuine:O, system:O, library:O, .:O] </s>
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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 routine is a form of generic and variable generator of DLL side-loading combinations .' [/INST] [This:O, routine:O, is:O, a:O, form:O, of:O, generic:O, and:O, variable:O, generator:O, of:O, DLL:O, side-loading:O, combinations:O, .:O] </s>
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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: 'Figure 10 .' [/INST] [Figure:O, 10:O, .:O] </s>
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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: 'Windows Defender ATP timeline can pinpoint the service DLL side-loading trick ( in this example , using fltlib.dll ) .' [/INST] [Windows:B-System, Defender:I-System, ATP:I-System, timeline:O, can:O, pinpoint:O, the:O, service:O, DLL:O, side-loading:O, trick:O, (:O, in:O, this:O, example:O, ,:O, using:O, fltlib.dll:B-Indicator, ):O, .:O] </s>
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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: 'In the past , we have seen other activity groups like LEAD employ a similar attacker technique named “ proxy-library ” to achieve persistence , but not with this professionalism .' [/INST] [In:O, the:O, past:O, ,:O, we:O, have:O, seen:O, other:O, activity:O, groups:O, like:O, LEAD:O, employ:O, a:O, similar:O, attacker:O, technique:O, named:O, “:O, proxy-library:O, ”:O, to:O, achieve:O, persistence:O, ,:O, but:O, not:O, with:O, this:O, professionalism:O, .:O] </s>
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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 said technique brings the advantage of avoiding auto-start extensibility points ( ASEP ) scanners and programs that checks for binaries installed as service ( for the latter , the service chosen by FinFisher will show up as a clean Windows signed binary ) .' [/INST] [The:O, said:O, technique:O, brings:O, the:O, advantage:O, of:O, avoiding:O, auto-start:O, extensibility:O, points:O, (:O, ASEP:O, ):O, scanners:O, and:O, programs:O, that:O, checks:O, for:O, binaries:O, installed:O, as:O, service:O, (:O, for:O, the:O, latter:O, ,:O, the:O, service:O, chosen:O, by:O, FinFisher:B-Malware, will:O, show:O, up:O, as:O, a:O, clean:O, Windows:B-System, signed:O, binary:O, ):O, .:O] </s>
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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 malware cleans the system event logs using OpenEventLog/ClearEventLog APIs , and then terminates the setup procedure with a call to StartService to run the stage 4 malware .' [/INST] [The:O, malware:O, cleans:O, the:O, system:O, event:O, logs:O, using:O, OpenEventLog/ClearEventLog:O, APIs:O, ,:O, and:O, then:O, terminates:O, the:O, setup:O, procedure:O, with:O, a:O, call:O, to:O, StartService:O, to:O, run:O, the:O, stage:O, 4:O, malware:O, .:O] </s>
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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: 'Figure 11 .' [/INST] [Figure:O, 11:O, .:O] </s>
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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 DLL side-loaded stage 4 malware mimicking a real export table to avoid detection Stage 4 : The memory loader – Fun injection with GDI function hijacking Depending on how stage 4 was launched , two different things may happen : In the low-integrity case ( under UAC ) the installer simply injects the stage 5 malware into the bogus explorer.exe process started earlier and terminates In the high-integrity case ( with administrative privileges or after UAC bypass ) , the code searches for the process hosting the Plug and Play service ( usually svchost.exe' [/INST] [The:O, DLL:O, side-loaded:O, stage:O, 4:O, malware:O, mimicking:O, a:O, real:O, export:O, table:O, to:O, avoid:O, detection:O, Stage:O, 4:O, ::O, The:O, memory:O, loader:O, –:O, Fun:O, injection:O, with:O, GDI:O, function:O, hijacking:O, Depending:O, on:O, how:O, stage:O, 4:O, was:O, launched:O, ,:O, two:O, different:O, things:O, may:O, happen:O, ::O, In:O, the:O, low-integrity:O, case:O, (:O, under:O, UAC:O, ):O, the:O, installer:O, simply:O, injects:O, the:O, stage:O, 5:O, malware:O, into:O, the:O, bogus:O, explorer.exe:B-Indicator, process:O, started:O, earlier:O, and:O, terminates:O, In:O, the:O, high-integrity:O, case:O, (:O, with:O, administrative:O, privileges:O, or:O, after:O, UAC:O, bypass:O, ):O, ,:O, the:O, code:O, searches:O, for:O, the:O, process:O, hosting:O, the:O, Plug:O, and:O, Play:O, service:O, (:O, usually:O, svchost.exe:B-Indicator] </s>
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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: ') loaded in memory and injects itself into it For the second scenario , the injection process works like this : The malware opens the target service process .' [/INST] [):O, loaded:O, in:O, memory:O, and:O, injects:O, itself:O, into:O, it:O, For:O, the:O, second:O, scenario:O, ,:O, the:O, injection:O, process:O, works:O, like:O, this:O, ::O, The:O, malware:O, opens:O, the:O, target:O, service:O, process:O, .:O] </s>
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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: 'It allocates and fills four chunks of memory inside the service process .' [/INST] [It:O, allocates:O, and:O, fills:O, four:O, chunks:O, of:O, memory:O, inside:O, the:O, service:O, process:O, .:O] </s>
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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: 'One chunk contains the entire malware DLL code ( without PE headers ) .' [/INST] [One:O, chunk:O, contains:O, the:O, entire:O, malware:O, DLL:O, code:O, (:O, without:O, PE:O, headers:O, ):O, .:O] </s>
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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: 'Another chunk is used to copy a basic Ntdll and Kernel32 import address table .' [/INST] [Another:O, chunk:O, is:O, used:O, to:O, copy:O, a:O, basic:O, Ntdll:O, and:O, Kernel32:O, import:O, address:O, table:O, .:O] </s>
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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: 'Two chunks are filled with an asynchronous procedure call ( APC ) routine code and a stub .' [/INST] [Two:O, chunks:O, are:O, filled:O, with:O, an:O, asynchronous:O, procedure:O, call:O, (:O, APC:O, ):O, routine:O, code:O, and:O, a:O, stub:O, .:O] </s>
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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: 'It opens the service thread of the service process and uses the ZwQueueApcThread native API to inject an APC .' [/INST] [It:O, opens:O, the:O, service:O, thread:O, of:O, the:O, service:O, process:O, and:O, uses:O, the:O, ZwQueueApcThread:B-Indicator, native:O, API:O, to:O, inject:O, an:O, APC:O, .:O] </s>
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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 APC routine creates a thread in the context of the svchost.exe process that will map and execute the stage 5 malware into the winlogon.exe process .' [/INST] [The:O, APC:O, routine:O, creates:O, a:O, thread:O, in:O, the:O, context:O, of:O, the:O, svchost.exe:B-Indicator, process:O, that:O, will:O, map:O, and:O, execute:O, the:O, stage:O, 5:O, malware:O, into:O, the:O, winlogon.exe:B-Indicator, process:O, .:O] </s>
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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 injection method used for winlogon.exe is also interesting and quite unusual .' [/INST] [The:O, injection:O, method:O, used:O, for:O, winlogon.exe:B-Indicator, is:O, also:O, interesting:O, and:O, quite:O, unusual:O, .:O] </s>
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<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'We believe that this method is engineered to avoid trivial detection of process injection using the well-detected CreateRemoteThread or ZwQueueApcThread API .' [/INST] [We:O, believe:O, that:O, this:O, method:O, is:O, engineered:O, to:O, avoid:O, trivial:O, detection:O, of:O, process:O, injection:O, using:O, the:O, well-detected:O, CreateRemoteThread:B-Indicator, or:O, ZwQueueApcThread:B-Indicator, API:O, .:O] </s>
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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 malware takes these steps : Check if the system master boot record ( MBR ) contains an infection marker ( 0xD289C989C089 8-bytes value at offset 0x2C ) , and , if so , terminate itself Check again if the process is attached to a debugger ( using the techniques described previously ) Read , decrypt , and map the stage 5 malware ( written in the previous stage in msvcr90.dll ) Open winlogon.exe process Load user32.dll system library and read the KernelCallbackTable' [/INST] [The:O, malware:O, takes:O, these:O, steps:O, ::O, Check:O, if:O, the:O, system:O, master:O, boot:O, record:O, (:O, MBR:O, ):O, contains:O, an:O, infection:O, marker:O, (:O, 0xD289C989C089:B-Indicator, 8-bytes:O, value:O, at:O, offset:O, 0x2C:O, ):O, ,:O, and:O, ,:O, if:O, so:O, ,:O, terminate:O, itself:O, Check:O, again:O, if:O, the:O, process:O, is:O, attached:O, to:O, a:O, debugger:O, (:O, using:O, the:O, techniques:O, described:O, previously:O, ):O, Read:O, ,:O, decrypt:O, ,:O, and:O, map:O, the:O, stage:O, 5:O, malware:O, (:O, written:O, in:O, the:O, previous:O, stage:O, in:O, msvcr90.dll:B-Indicator, ):O, Open:O, winlogon.exe:B-Indicator, process:O, Load:O, user32.dll:B-Indicator, system:O, library:O, and:O, read:O, the:O, KernelCallbackTable:B-Indicator] </s>
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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: 'pointer from its own process environment block ( PEB ) ( Note : The KernelCallbackTable points to an array of graphic functions used by Win32 kernel subsystem module win32k.sys as call-back into user-mode .' [/INST] [pointer:O, from:O, its:O, own:O, process:O, environment:O, block:O, (:O, PEB:O, ):O, (:O, Note:O, ::O, The:O, KernelCallbackTable:O, points:O, to:O, an:O, array:O, of:O, graphic:O, functions:O, used:O, by:O, Win32:O, kernel:O, subsystem:O, module:O, win32k.sys:B-Indicator, as:O, call-back:O, into:O, user-mode:O, .:O] </s>
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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: ') Calculate the difference between this pointer and the User32 base address .' [/INST] [):O, Calculate:O, the:O, difference:O, between:O, this:O, pointer:O, and:O, the:O, User32:O, base:O, address:O, .:O] </s>
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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: 'Copy the stage 5 DLL into winlogon.exe Allocate a chunk of memory in winlogon.exe process and copy the same APC routine seen previously Read and save the original pointer of the __fnDWORD internal User32 routine ( located at offset +0x10 of the KernelCallbackTable ) and replace this pointer with the address of the APC stub routine After this function pointer hijacking , when winlogon.exe makes any graphical call ( GDI ) , the malicious code can execute without using CreateRemoteThread or' [/INST] [Copy:O, the:O, stage:O, 5:O, DLL:O, into:O, winlogon.exe:B-Indicator, Allocate:O, a:O, chunk:O, of:O, memory:O, in:O, winlogon.exe:B-Indicator, process:O, and:O, copy:O, the:O, same:O, APC:O, routine:O, seen:O, previously:O, Read:O, and:O, save:O, the:O, original:O, pointer:O, of:O, the:O, __fnDWORD:O, internal:O, User32:O, routine:O, (:O, located:O, at:O, offset:O, +0x10:O, of:O, the:O, KernelCallbackTable:O, ):O, and:O, replace:O, this:O, pointer:O, with:O, the:O, address:O, of:O, the:O, APC:O, stub:O, routine:O, After:O, this:O, function:O, pointer:O, hijacking:O, ,:O, when:O, winlogon.exe:B-Indicator, makes:O, any:O, graphical:O, call:O, (:O, GDI:O, ):O, ,:O, the:O, malicious:O, code:O, can:O, execute:O, without:O, using:O, CreateRemoteThread:O, or:O] </s>
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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: 'similar triggers that are easily detectable .' [/INST] [similar:O, triggers:O, that:O, are:O, easily:O, detectable:O, .:O] </s>
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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: 'After execution it takes care of restoring the original KernelCallbackTable .' [/INST] [After:O, execution:O, it:O, takes:O, care:O, of:O, restoring:O, the:O, original:O, KernelCallbackTable:O, .:O] </s>
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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: 'Stage 5 : The final loader takes control The stage 5 malware is needed only to provide one more layer of obfuscation , through the VM , of the final malware payload and to set up a special Structured Exception Hander routine , which is inserted as Wow64PrepareForException in Ntdll .' [/INST] [Stage:O, 5:O, ::O, The:O, final:O, loader:O, takes:O, control:O, The:O, stage:O, 5:O, malware:O, is:O, needed:O, only:O, to:O, provide:O, one:O, more:O, layer:O, of:O, obfuscation:O, ,:O, through:O, the:O, VM:O, ,:O, of:O, the:O, final:O, malware:O, payload:O, and:O, to:O, set:O, up:O, a:O, special:O, Structured:O, Exception:O, Hander:O, routine:O, ,:O, which:O, is:O, inserted:O, as:O, Wow64PrepareForException:O, in:O, Ntdll:O, .:O] </s>
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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 special exception handler is needed to manage some memory buffers protection and special exceptions that are used to provide more stealthy execution .' [/INST] [This:O, special:O, exception:O, handler:O, is:O, needed:O, to:O, manage:O, some:O, memory:O, buffers:O, protection:O, and:O, special:O, exceptions:O, that:O, are:O, used:O, to:O, provide:O, more:O, stealthy:O, execution:O, .:O] </s>
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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: 'After the VM code has checked again the user environment , it proceeds to extract and execute the final un-obfuscated payload sample directly into winlogon.exe ( alternatively , into explorer.exe ) process .' [/INST] [After:O, the:O, VM:O, code:O, has:O, checked:O, again:O, the:O, user:O, environment:O, ,:O, it:O, proceeds:O, to:O, extract:O, and:O, execute:O, the:O, final:O, un-obfuscated:O, payload:O, sample:O, directly:O, into:O, winlogon.exe:B-Indicator, (:O, alternatively:O, ,:O, into:O, explorer.exe:B-Indicator, ):O, process:O, .:O] </s>
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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: 'After the payload is extracted , decrypted , and mapped in the process memory , the malware calls the new DLL entry point , and then the RunDll exported function .' [/INST] [After:O, the:O, payload:O, is:O, extracted:O, ,:O, decrypted:O, ,:O, and:O, mapped:O, in:O, the:O, process:O, memory:O, ,:O, the:O, malware:O, calls:O, the:O, new:O, DLL:O, entry:O, point:O, ,:O, and:O, then:O, the:O, RunDll:O, exported:O, function:O, .:O] </s>
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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 latter implements the entire spyware program .' [/INST] [The:O, latter:O, implements:O, the:O, entire:O, spyware:O, program:O, .:O] </s>
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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: 'Stage 6 : The payload is a modular spyware framework for further analysis Our journey to deobfuscating FinFisher has allowed us to uncover the complex anti-analysis techniques used by this malware , as well as to use this intel to protect our customers , which is our top priority .' [/INST] [Stage:O, 6:O, ::O, The:O, payload:O, is:O, a:O, modular:O, spyware:O, framework:O, for:O, further:O, analysis:O, Our:O, journey:O, to:O, deobfuscating:O, FinFisher:B-Malware, has:O, allowed:O, us:O, to:O, uncover:O, the:O, complex:O, anti-analysis:O, techniques:O, used:O, by:O, this:O, malware:O, ,:O, as:O, well:O, as:O, to:O, use:O, this:O, intel:O, to:O, protect:O, our:O, customers:O, ,:O, which:O, is:O, our:O, top:O, priority:O, .:O] </s>
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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: 'Analysis of the additional spyware modules is future work .' [/INST] [Analysis:O, of:O, the:O, additional:O, spyware:O, modules:O, is:O, future:O, work:O, .:O] </s>
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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: 'It is evident that the ultimate goal of this program is to steal information .' [/INST] [It:O, is:O, evident:O, that:O, the:O, ultimate:O, goal:O, of:O, this:O, program:O, is:O, to:O, steal:O, information:O, .:O] </s>
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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 malware architecture is modular , which means that it can execute plugins .' [/INST] [The:O, malware:O, architecture:O, is:O, modular:O, ,:O, which:O, means:O, that:O, it:O, can:O, execute:O, plugins:O, .:O] </s>
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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 plugins are stored in its resource section and can be protected by the same VM .' [/INST] [The:O, plugins:O, are:O, stored:O, in:O, its:O, resource:O, section:O, and:O, can:O, be:O, protected:O, by:O, the:O, same:O, VM:O, .:O] </s>
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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 sample we analyzed in October , for example , contains a plugin that is able to spy on internet connections , and can even divert some SSL connections and steal data from encrypted traffic .' [/INST] [The:O, sample:O, we:O, analyzed:O, in:O, October:O, ,:O, for:O, example:O, ,:O, contains:O, a:O, plugin:O, that:O, is:O, able:O, to:O, spy:O, on:O, internet:O, connections:O, ,:O, and:O, can:O, even:O, divert:O, some:O, SSL:O, connections:O, and:O, steal:O, data:O, from:O, encrypted:O, traffic:O, .:O] </s>
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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: 'Some FinFisher variants incorporate an MBR rootkit , the exact purpose of which is not clear .' [/INST] [Some:O, FinFisher:B-Malware, variants:O, incorporate:O, an:O, MBR:B-Indicator, rootkit:I-Indicator, ,:O, the:O, exact:O, purpose:O, of:O, which:O, is:O, not:O, clear:O, .:O] </s>
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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: 'Quite possibly , this routine targets older platforms like Windows 7 and machines not taking advantage of hardware protections like UEFI and SecureBoot , available on Windows 10 .' [/INST] [Quite:O, possibly:O, ,:O, this:O, routine:O, targets:O, older:O, platforms:O, like:O, Windows:B-System, 7:I-System, and:O, machines:O, not:O, taking:O, advantage:O, of:O, hardware:O, protections:O, like:O, UEFI:O, and:O, SecureBoot:O, ,:O, available:O, on:O, Windows:B-System, 10:I-System, .:O] </s>
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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: 'Describing this additional piece of code in detail is outside the scope of this analysis and may require a new dedicated blog post .' [/INST] [Describing:O, this:O, additional:O, piece:O, of:O, code:O, in:O, detail:O, is:O, outside:O, the:O, scope:B-System, of:O, this:O, analysis:O, and:O, may:O, require:O, a:O, new:O, dedicated:O, blog:O, post:O, .:O] </s>
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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: 'Defense against FinFisher Exposing as much of FinFisher ’ s riddles as possible during this painstaking analysis has allowed us to ensure our customers are protected against this advanced piece of malware .' [/INST] [Defense:O, against:O, FinFisher:B-Malware, Exposing:O, as:O, much:O, of:O, FinFisher:B-Malware, ’:O, s:O, riddles:O, as:O, possible:O, during:O, this:O, painstaking:O, analysis:O, has:O, allowed:O, us:O, to:O, ensure:O, our:O, customers:O, are:O, protected:O, against:O, this:O, advanced:O, piece:O, of:O, malware:O, .:O] </s>
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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: 'Windows 10 S devices are naturally protected against FinFisher and other threats thanks to the strong code integrity policies that don ’ t allow unknown unsigned binaries to run ( thus stopping FinFisher ’ s PE installer ) or loaded ( blocking FinFisher ’ s DLL persistence ) .' [/INST] [Windows:B-System, 10:I-System, S:O, devices:O, are:O, naturally:O, protected:O, against:O, FinFisher:B-Malware, and:O, other:O, threats:O, thanks:O, to:O, the:O, strong:O, code:O, integrity:O, policies:O, that:O, don:O, ’:O, t:O, allow:O, unknown:O, unsigned:O, binaries:O, to:O, run:O, (:O, thus:O, stopping:O, FinFisher:B-Malware, ’:O, s:O, PE:O, installer:O, ):O, or:O, loaded:O, (:O, blocking:O, FinFisher:B-Malware, ’:O, s:O, DLL:O, persistence:O, ):O, .:O] </s>
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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: 'On Windows 10 , similar code integrity policies can be configured using Windows Defender Application Control .' [/INST] [On:O, Windows:B-System, 10:I-System, ,:O, similar:O, code:O, integrity:O, policies:O, can:O, be:O, configured:O, using:O, Windows:B-System, Defender:I-System, Application:I-System, Control:I-System, .:O] </s>
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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: 'Office 365 Advanced Threat Protection secures mailboxes from email campaigns that use zero-day exploits to deliver threats like FinFisher .' [/INST] [Office:B-System, 365:I-System, Advanced:I-System, Threat:I-System, Protection:I-System, secures:O, mailboxes:O, from:O, email:O, campaigns:O, that:O, use:O, zero-day:B-Vulnerability, exploits:I-Vulnerability, to:O, deliver:O, threats:O, like:O, FinFisher:B-Malware, .:O] </s>
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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: 'Office 365 ATP blocks unsafe attachments , malicious links , and linked-to files using time-of-click protection .' [/INST] [Office:B-System, 365:I-System, ATP:I-System, blocks:O, unsafe:O, attachments:O, ,:O, malicious:O, links:O, ,:O, and:O, linked-to:O, files:O, using:O, time-of-click:O, protection:O, .:O] </s>
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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: 'Using intel from this research , we have made Office 365 ATP more resistant to FinFisher ’ s anti-sandbox checks .' [/INST] [Using:O, intel:O, from:O, this:O, research:O, ,:O, we:O, have:O, made:O, Office:B-System, 365:I-System, ATP:I-System, more:O, resistant:O, to:O, FinFisher:B-Malware, ’:O, s:O, anti-sandbox:O, checks:O, .:O] </s>
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