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reverse-engineering

Static and dynamic reverse engineering — ELF/PE analysis, custom-VM bytecode, packed binaries, anti-debug bypass, Frida hooking.

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transilienceai/communitytools
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6 de julio de 2026 a las 19:20
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SKILL.md
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name
reverse-engineering
description
Static and dynamic reverse engineering — ELF/PE analysis, custom-VM bytecode, packed binaries, anti-debug bypass, Frida hooking.
# Reverse Engineering ## Scope Reverse engineering compiled binaries (ELF, PE, Mach-O) and bytecode artifacts to recover algorithms, validate inputs, or build static solvers. Focused on the recurring CTF / malware-analysis pattern of a host binary that loads a "program" file under a custom ISA — recognising the dispatcher loop, mapping opcodes to Python lambdas, and inverting the transformation chain in pure Python without executing the host. Also covers callfuscation (control-flow chunking), MBA (mixed boolean-arithmetic) operator obfuscation, encrypted-handler tricks, and three-layer deobfuscation pipelines. ## When to use - A binary plus a "program data" file are delivered together and the binary appears to be an interpreter (themed opcode names, dispatcher switch / jump table). - Disassembly reveals a `while(true){ op = mem[pc++]; switch(op){...}; }` style loop or jump-table indexed by opcode. - The binary is heavily obfuscated (callfuscation, MBA wrappers, encrypted handlers in `.data` decrypted to RWX at startup). - You need to recover an algorithm or check function from native code without dynamic execution (anti-debug, wrong arch, no TTY). - Static-first reverse engineering is preferred (faster, more reliable than emulator chains). ## References - [reference/custom-vm-bytecode.md](reference/custom-vm-bytecode.md) — recognising and inverting custom stack/register/tape VMs; callfuscation linearization; MBA operator identification; encrypted-handler decryption.
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