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reverse-engineering

Skill

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

0Debugging

Install

git clone https://github.com/transilienceai/communitytools.git ~/.claude/skills/reverse-engineering

What is reverse-engineering?

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

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~32 tokens of context used while enabled, before you invoke anything

Documentation

README · ~1 min read

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

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