VLLM, an open-source AI inference engine, has a significant number of vulnerabilities, with 36 reported CVEs. Of these, 14 are classified as critical or high severity, and one has a maximum CVSS score of 10. A large majority, 83%, of these vulnerabilities remain unpatched, posing a considerable security risk. AI
IMPACT Unpatched vulnerabilities in open-source AI inference engines like VLLM could lead to widespread security breaches, impacting the reliability and safety of AI deployments.
RANK_REASON The cluster reports on vulnerabilities in a specific software tool, not a new model release or major industry event.
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