CVE-2025-24357

{"id": "CVE-2025-24357", "cveTags": [], "metrics": {"cvssMetricV31": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 7.5, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "REQUIRED", "attackComplexity": "HIGH", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 1.6}, {"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 8.8, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "REQUIRED", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 2.8}]}, "published": "2025-01-27T18:15:41.523", "references": [{"url": "https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04", "tags": ["Patch"], "source": "security-advisories@github.com"}, {"url": "https://github.com/vllm-project/vllm/pull/12366", "tags": ["Issue Tracking", "Patch"], "source": "security-advisories@github.com"}, {"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54", "tags": ["Vendor Advisory"], "source": "security-advisories@github.com"}, {"url": "https://pytorch.org/docs/stable/generated/torch.load.html", "tags": ["Technical Description"], "source": "security-advisories@github.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Primary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-502"}]}], "descriptions": [{"lang": "en", "value": "vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0."}, {"lang": "es", "value": "vLLM es una librer\u00eda para la inferencia y el servicio de LLM. vllm/model_executor/weight_utils.py implementa hf_model_weights_iterator para cargar el punto de control del modelo, que se descarga desde huggingface. Utiliza la funci\u00f3n Torch.load y el par\u00e1metro weights_only tiene el valor predeterminado Falso. Cuando Torch.load carga datos pickle maliciosos, ejecutar\u00e1 c\u00f3digo arbitrario durante el desensamblaje. Esta vulnerabilidad se corrigi\u00f3 en la versi\u00f3n v0.7.0."}], "lastModified": "2025-06-27T19:30:59.223", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "78210BFE-5D31-4D84-BA73-75C1594A3A3C", "versionEndExcluding": "0.7.0"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}