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To thwart reverse engineering by agents, dev proposes blinding them
Developer and student Timo Zhang has created Blind LLM Agents (BLA), a project designed to make it harder for AI agents to reverse-engineer commercial software from published binaries. It matters because LLMs can now help analyse software and recreate its functions, raising concerns for developers whose products can be copied.
BLA applies techniques including renaming, string encryption, decoy code and integrity checks to increase the effort needed to analyse a program while preserving its behaviour. Zhang says tests include red-team exercises and attempts by the Reverse Engineer Anything framework to recover keys or flags; the project tracks its defences but does not claim to make software unbreakable. It is intended to hinder LLM-aided analysis, not traditional interactive tools such as Ghidra or Frida.
In short
- BLA aims to make AI-assisted software reverse engineering harder.
- It adds obfuscation and integrity checks while preserving behaviour.
- The developer says it raises costs, but cannot stop determined analysis.
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Originally published by The Register as “To thwart reverse engineering by agents, dev proposes blinding them”.