A critical vulnerability in SQLite was recently reported, but researchers have determined that the issue is not a genuine flaw in the database software. Instead, the supposed vulnerability is an artifact of a large language model's (LLM) error, which generated a false positive result. The LLM-produced report described a critical CVE in SQLite, sparking concern among developers and security professionals. However, upon further investigation, experts found no evidence to support the claim of a vulnerability. The incident highlights the potential risks of relying on automated tools and AI-generated reports for security assessments. As a result, practitioners must exercise caution when evaluating vulnerability reports, especially those generated by LLMs, to avoid unnecessary panic and misallocation of resources1. This incident matters to security professionals because it underscores the importance of human oversight and verification in the vulnerability discovery process.