An LLM-driven pipeline detected and classified cryptographic API misuse across 3,492 programs, producing a 279-category taxonomy with 36 new categories, and encoded 11 of them into detection rules that expand existing tools.
Python crypto misuses in the wild
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Automatic Generation of a Cryptography Misuse Taxonomy Using Large Language Models
An LLM-driven pipeline detected and classified cryptographic API misuse across 3,492 programs, producing a 279-category taxonomy with 36 new categories, and encoded 11 of them into detection rules that expand existing tools.