CVE-2025-62164

{"id": "CVE-2025-62164", "cveTags": [], "metrics": {"cvssMetricV31": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 8.8, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "LOW", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 2.8}]}, "published": "2025-11-21T02:15:43.193", "references": [{"url": "https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b", "tags": ["Patch"], "source": "security-advisories@github.com"}, {"url": "https://github.com/vllm-project/vllm/pull/27204", "tags": ["Issue Tracking", "Patch", "Vendor Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-mrw7-hf4f-83pf", "tags": ["Vendor Advisory", "Issue Tracking"], "source": "security-advisories@github.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Primary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-20"}, {"lang": "en", "value": "CWE-123"}, {"lang": "en", "value": "CWE-502"}, {"lang": "en", "value": "CWE-787"}]}], "descriptions": [{"lang": "en", "value": "vLLM is an inference and serving engine for large language models (LLMs). From versions 0.10.2 to before 0.11.1, a memory corruption vulnerability could lead to a crash (denial-of-service) and potentially remote code execution (RCE), exists in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to_dense(). This memory corruption can crash vLLM and potentially lead to code execution on the server hosting vLLM. This issue has been patched in version 0.11.1."}], "lastModified": "2025-12-04T17:14:20.630", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "257F44B9-5BDF-4A61-B7B9-A901DD438F9C", "versionEndExcluding": "0.11.1", "versionStartIncluding": "0.10.2"}, {"criteria": "cpe:2.3:a:vllm:vllm:0.11.1:rc0:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "FEE054E1-1F84-4ACC-894C-D7E3652EF1B1"}, {"criteria": "cpe:2.3:a:vllm:vllm:0.11.1:rc1:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "B05850DF-38FE-439F-9F7A-AA96DA9038CC"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}