{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2025-59953", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "state": "PUBLISHED", "assignerShortName": "GitHub_M", "dateReserved": "2025-09-23T14:33:49.506Z", "datePublished": "2026-09-16T15:36:02.095Z", "dateUpdated": "2026-09-16T15:36:02.095Z"}, "containers": {"cna": {"title": "LMdeploy has Remote Code Execution by Pickle Deserialization via zmq_rpc.call_and_response() in InterLM/lmdeploy", "problemTypes": [{"descriptions": [{"cweId": "CWE-502", "lang": "en", "description": "CWE-502: Deserialization of Untrusted Data", "type": "CWE"}]}], "metrics": [{"cvssV3_1": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.8, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "version": "3.1"}}], "references": [{"name": "https://github.com/InternLM/lmdeploy/security/advisories/GHSA-5h8j-6crg-7rmw", "tags": ["x_refsource_CONFIRM"], "url": "https://github.com/InternLM/lmdeploy/security/advisories/GHSA-5h8j-6crg-7rmw"}, {"name": "https://github.com/InternLM/lmdeploy/releases/tag/v0.10.2", "tags": ["x_refsource_MISC"], "url": "https://github.com/InternLM/lmdeploy/releases/tag/v0.10.2"}], "affected": [{"vendor": "InternLM", "product": "lmdeploy", "versions": [{"version": ">= 0.9.1, < 0.10.2", "status": "affected"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-09-16T15:36:02.095Z"}, "descriptions": [{"lang": "en", "value": "LMDeploy is a toolkit for compressing, deploying, and serving large language models. Starting in version 0.9.1 and prior to version 0.10.2, the LMdeploy\u00a0implements an\u00a0rpc server (AsyncRPCServer in zmq_rpc.py)\u00a0for supporting the RPC communications. In its core functionality\u00a0call_and_response(), I found it will directly use the\u00a0pickles.loads()\u00a0to deserialize the received messages without any sanitization, hence resulting in a remote code execution vulnerability by this RPC server. Version 0.10.2 contains a patch."}], "source": {"advisory": "GHSA-5h8j-6crg-7rmw", "discovery": "UNKNOWN"}}}}

{}

{"affected": [{"affectedData": [{"product": "lmdeploy", "vendor": "InternLM", "versions": [{"status": "affected", "version": ">= 0.9.1, < 0.10.2"}]}], "source": "security-advisories@github.com"}], "cveTags": [], "descriptions": [{"lang": "en", "value": "LMDeploy is a toolkit for compressing, deploying, and serving large language models. Starting in version 0.9.1 and prior to version 0.10.2, the LMdeploy\u00a0implements an\u00a0rpc server (AsyncRPCServer in zmq_rpc.py)\u00a0for supporting the RPC communications. In its core functionality\u00a0call_and_response(), I found it will directly use the\u00a0pickles.loads()\u00a0to deserialize the received messages without any sanitization, hence resulting in a remote code execution vulnerability by this RPC server. Version 0.10.2 contains a patch."}], "id": "CVE-2025-59953", "lastModified": "2026-09-16T16:17:03.010", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.8, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 3.9, "impactScore": 5.9, "source": "security-advisories@github.com", "type": "Secondary"}]}, "published": "2026-09-16T16:17:03.010", "references": [{"source": "security-advisories@github.com", "url": "https://github.com/InternLM/lmdeploy/releases/tag/v0.10.2"}, {"source": "security-advisories@github.com", "url": "https://github.com/InternLM/lmdeploy/security/advisories/GHSA-5h8j-6crg-7rmw"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Received", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-502"}], "source": "security-advisories@github.com", "type": "Primary"}]}

{}

{}