{"id":"CVE-2025-29783","aliases":["GHSA-x3m8-f7g5-qhm7","PYSEC-2025-63"],"url":"https://o3.security/vulnerability/CVE-2025-29783","summary":"vLLM  Allows Remote Code Execution via Mooncake Integration","details":"vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code execution vulnerability impacting any deployments using Mooncake to distribute KV across distributed hosts. This vulnerability is fixed in 0.8.0.","published":"2025-03-19T15:33:28.951Z","modified":"2026-08-08T03:48:12.739629924Z","cvss":{"score":9,"severity":"CRITICAL","vector":"CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H"},"epss":null,"cisaKev":null,"exploitsKnown":0,"affectedPackages":[{"ecosystem":"PyPI","name":"vllm","fixedVersion":"0.8.0"}],"fix":{"url":"https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2","label":"vllm-project/vllm@288ca11"},"references":[{"type":"ADVISORY","url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/29xxx/CVE-2025-29783.json"},{"type":"ADVISORY","url":"https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2025-29783"},{"type":"FIX","url":"https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2"},{"type":"FIX","url":"https://github.com/vllm-project/vllm/pull/14228"}],"provenance":{"sources":["OSV.dev","FIRST.org (EPSS)"],"lastVerified":"2026-08-08T03:48:12.739629924Z"}}