{"dataType":"CVE_RECORD","dataVersion":"5.1","cveMetadata":{"cveId":"CVE-2025-24357","assignerOrgId":"a0819718-46f1-4df5-94e2-005712e83aaa","state":"PUBLISHED","assignerShortName":"GitHub_M","dateReserved":"2025-01-20T15:18:26.988Z","datePublished":"2025-01-27T17:38:20.070Z","dateUpdated":"2025-02-12T20:41:36.324Z"},"containers":{"cna":{"title":"vLLM allows a malicious model RCE by torch.load in hf_model_weights_iterator","problemTypes":[{"descriptions":[{"cweId":"CWE-502","lang":"en","description":"CWE-502: Deserialization of Untrusted Data","type":"CWE"}]}],"metrics":[{"cvssV3_1":{"attackComplexity":"HIGH","attackVector":"NETWORK","availabilityImpact":"HIGH","baseScore":7.5,"baseSeverity":"HIGH","confidentialityImpact":"HIGH","integrityImpact":"HIGH","privilegesRequired":"NONE","scope":"UNCHANGED","userInteraction":"REQUIRED","vectorString":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H","version":"3.1"}}],"references":[{"name":"https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54","tags":["x_refsource_CONFIRM"],"url":"https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54"},{"name":"https://github.com/vllm-project/vllm/pull/12366","tags":["x_refsource_MISC"],"url":"https://github.com/vllm-project/vllm/pull/12366"},{"name":"https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04","tags":["x_refsource_MISC"],"url":"https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04"},{"name":"https://pytorch.org/docs/stable/generated/torch.load.html","tags":["x_refsource_MISC"],"url":"https://pytorch.org/docs/stable/generated/torch.load.html"}],"affected":[{"vendor":"vllm-project","product":"vllm","versions":[{"version":"< 0.7.0","status":"affected"}]}],"providerMetadata":{"orgId":"a0819718-46f1-4df5-94e2-005712e83aaa","shortName":"GitHub_M","dateUpdated":"2025-01-27T17:38:20.070Z"},"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."}],"source":{"advisory":"GHSA-rh4j-5rhw-hr54","discovery":"UNKNOWN"}},"adp":[{"metrics":[{"other":{"type":"ssvc","content":{"id":"CVE-2025-24357","role":"CISA Coordinator","options":[{"Exploitation":"none"},{"Automatable":"no"},{"Technical Impact":"total"}],"version":"2.0.3","timestamp":"2025-01-27T18:20:10.107207Z"}}}],"title":"CISA ADP Vulnrichment","providerMetadata":{"orgId":"134c704f-9b21-4f2e-91b3-4a467353bcc0","shortName":"CISA-ADP","dateUpdated":"2025-02-12T20:41:36.324Z"}}]}}