Extracting Recurring Vulnerabilities from Black-Box LLM-Generated Software
LLM code generation creates predictable vulnerability patterns that enterprise development teams must systematically identify and remediate.
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arXiv:2602.04894v4 Announce Type: replace Abstract: LLMs are increasingly used for code generation, but their outputs often follow recurring templates that can induce predictable vulnerabilities. We study vulnerability persistence in LLM-generated software and introduce Feature--Security Table (FSTab) with two components. First, FSTab enables a black-box attack that predicts likely backend vulnerabilities from observable frontend features and knowledge of the source LLM, without access to the b
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