Developer Builds Custom 8051 Disassembler Using AI-Generated Opcode Mapping

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A developer working to reverse-engineer an undocumented processor outlined a four-step pipeline that begins by ruling out all known CPU architectures before assuming a binary is custom-built. Ghidra was initially considered for extracting opcode mappings but was abandoned due to loss of operand metadata and inconsistent processor specification files. The tool dis51 also proved unsuitable, as it traces execution flow rather than performing linear disassembly, making it incompatible with raw byte-sequence testing. The developer ultimately used Google's Gemini AI model to generate a complete Python-based opcode mapping table for the 8051 architecture, including a Special Function Register lookup. With this AI-generated table, a functional static disassembler was built in under an hour, also serving as the foundation for a dynamic disassembly simulator.

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