AI BriefingGPT-6 Astra Successfully Deciphers Enigma Cipher Using Self-Coded Tools
Key point
GPT-6 Astra developed an Enigma simulator and Bombe in Python and C++ to decipher an undecoded message.
Details
GPT-6 Astra successfully deciphered the Enigma cipher on its own, based solely on human instructions. Researcher Carter Leffer directed the model to analyze one of the undecoded messages on the Crypto Cellar Research webpage, and GPT-6 Astra selected the Nr. 172, MVUEH message as the most promising candidate.
During the decryption process, GPT-6 Astra utilized the recurring place name ROSENOW as a crib (known plaintext). To this end, it directly developed an Enigma simulator and Enigma Bombe software using Python and C++, ultimately identifying the correct key and plaintext through these tools.
This case demonstrates that AI can autonomously code the necessary tools to perform complex cryptanalysis tasks. Furthermore, this success influenced other AI models' attempts at codebreaking. On September 20, 2026, Anthropic Claude Opus 5 deciphered a 63-character Enigma message (Nr. 205 NF / Nr. 285 FMNGI) using a similar crib-based attack.
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