vLLM Allows Remote Code Execution via Mooncake Integration

{
  "id": "a07524948ce35303cc3b41350e61a50e08339a1c72893c6d55574dfd0198ec08",
  "url": "https://osv.dev/vulnerability/CVE-2025-29783",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "vLLM Allows Remote Code Execution via Mooncake Integration",
    "summary": "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.",
    "evidence": "osv:CVE-2025-29783",
    "products": [],
    "severity": "critical",
    "structured": {
      "id": "CVE-2025-29783",
      "aliases": [
        "CVE-2025-29783",
        "GHSA-x3m8-f7g5-qhm7",
        "PYSEC-2025-63"
      ],
      "metrics": [
        {
          "type": "CVSS_V3",
          "score": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/vllm-project/vllm",
              "type": "GIT",
              "events": [
                {
                  "introduced": "2d1b9baa8f57fc59912c7bcd07fd630fb9d72c9d"
                },
                {
                  "fixed": "966f933ee1cd7c9a41db60de5c7ff98657005251"
                },
                {
                  "fixed": "288ca110f68d23909728627d3100e5a8db820aa2"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "cpe": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*",
                    "range": [
                      {
                        "introduced": "0.6.5"
                      },
                      {
                        "fixed": "0.8.0"
                      }
                    ],
                    "source": "CPE_RANGE"
                  },
                  {
                    "range": [
                      {
                        "fixed": "288ca110f68d23909728627d3100e5a8db820aa2"
                      }
                    ],
                    "source": "REFERENCES_COMMIT"
                  }
                ]
              }
            }
          ],
          "versions": [
            "v0.7.3",
            "v0.7.2",
            "v0.7.1",
            "v0.7.0",
            "v0.6.6.post1",
            "v0.6.6",
            "v0.6.5"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2025-29783.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:36.996017384Z",
      "provider": "osv",
      "references": [
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/29xxx/CVE-2025-29783.json",
        "https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7",
        "https://nvd.nist.gov/vuln/detail/CVE-2025-29783",
        "https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2",
        "https://github.com/vllm-project/vllm/pull/14228"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-502"
        ],
        "cna_assigner": "GitHub_M",
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/29xxx/CVE-2025-29783.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2025-29783",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 504175,
  "published_at": "2025-03-19T15:33:28.951+00:00"
}