A high security vulnerability has been discovered in vLLM, a widely used high-throughput inference and serving engine for Large Language Models. The flaw, identified as CVE-2025-62164, enables attackers to execute arbitrary code remotely through maliciously crafted payloads sent to the Completions API endpoint. Attribute Details CVE ID CVE-2025-62164 Severity High CVSS Score 8.8/10 Affected Product vLLM […] The post vLLM Flaw Allows Remote Code Execution Through Malicious Payloads appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
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