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This article explores how Large Language Models (LLMs) can act as virtual security experts to uncover complex vulnerabilities like IDOR and unauthorized uploads in mini-programs. It highlights LLMs' ability to understand business logic, bridging the gap between automated tools and human expertise in security auditing. A practical case study demonstrates their effectiveness.