CVE-2025-29783

{"dataType": "CVE_RECORD", "dataVersion": "5.1", "cveMetadata": {"cveId": "CVE-2025-29783", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "state": "PUBLISHED", "assignerShortName": "GitHub_M", "dateReserved": "2025-03-11T14:23:00.475Z", "datePublished": "2025-03-19T15:33:28.951Z", "dateUpdated": "2025-03-22T00:02:54.404Z"}, "containers": {"cna": {"title": "vLLM Allows Remote Code Execution via Mooncake Integration", "problemTypes": [{"descriptions": [{"cweId": "CWE-502", "lang": "en", "description": "CWE-502: Deserialization of Untrusted Data", "type": "CWE"}]}], "metrics": [{"cvssV3_1": {"attackComplexity": "LOW", "attackVector": "ADJACENT_NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.1, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H", "version": "3.1"}}], "references": [{"name": "https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7", "tags": ["x_refsource_CONFIRM"], "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7"}, {"name": "https://github.com/vllm-project/vllm/pull/14228", "tags": ["x_refsource_MISC"], "url": "https://github.com/vllm-project/vllm/pull/14228"}, {"name": "https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2", "tags": ["x_refsource_MISC"], "url": "https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2"}], "affected": [{"vendor": "vllm-project", "product": "vllm", "versions": [{"version": ">= 0.6.5, < 0.8.0", "status": "affected"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2025-03-22T00:02:54.404Z"}, "descriptions": [{"lang": "en", "value": "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."}], "source": {"advisory": "GHSA-x3m8-f7g5-qhm7", "discovery": "UNKNOWN"}}, "adp": [{"metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2025-03-19T18:30:27.510910Z", "id": "CVE-2025-29783", "options": [{"Exploitation": "none"}, {"Automatable": "yes"}, {"Technical Impact": "total"}], "role": "CISA Coordinator", "version": "2.0.3"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2025-03-19T18:30:38.466Z"}}]}}

{"dataType": "CVE_RECORD", "containers": {"adp": [{"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2025-29783", "role": "CISA Coordinator", "options": [{"Exploitation": "none"}, {"Automatable": "yes"}, {"Technical Impact": "total"}], "version": "2.0.3", "timestamp": "2025-03-19T18:30:27.510910Z"}}}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2025-03-19T18:30:33.740Z"}}], "cna": {"title": "vLLM Allows Remote Code Execution via Mooncake Integration", "source": {"advisory": "GHSA-x3m8-f7g5-qhm7", "discovery": "UNKNOWN"}, "metrics": [{"cvssV3_1": {"scope": "CHANGED", "version": "3.1", "baseScore": 9.1, "attackVector": "ADJACENT_NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "LOW", "confidentialityImpact": "HIGH"}}], "affected": [{"vendor": "vllm-project", "product": "vllm", "versions": [{"status": "affected", "version": ">= 0.6.5, < 0.8.0"}]}], "references": [{"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7", "name": "https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7", "tags": ["x_refsource_CONFIRM"]}, {"url": "https://github.com/vllm-project/vllm/pull/14228", "name": "https://github.com/vllm-project/vllm/pull/14228", "tags": ["x_refsource_MISC"]}, {"url": "https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2", "name": "https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2", "tags": ["x_refsource_MISC"]}], "descriptions": [{"lang": "en", "value": "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."}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-502", "description": "CWE-502: Deserialization of Untrusted Data"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2025-03-22T00:02:54.404Z"}}}, "cveMetadata": {"cveId": "CVE-2025-29783", "state": "PUBLISHED", "dateUpdated": "2025-03-22T00:02:54.404Z", "dateReserved": "2025-03-11T14:23:00.475Z", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "datePublished": "2025-03-19T15:33:28.951Z", "assignerShortName": "GitHub_M"}, "dataVersion": "5.1"}

{"affected": [{"affectedData": [{"product": "vllm", "vendor": "vllm-project", "versions": [{"status": "affected", "version": ">= 0.6.5, < 0.8.0"}]}], "source": "security-advisories@github.com"}], "configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*", "matchCriteriaId": "090A99DD-3EC3-40E2-9615-1DFDCF3B8A6A", "versionEndExcluding": "0.8.0", "versionStartIncluding": "0.6.5", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "cveTags": [], "descriptions": [{"lang": "en", "value": "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."}, {"lang": "es", "value": "vLLM es un motor de inferencia y servicio de alto rendimiento y eficiente en el uso de memoria para LLM. Cuando vLLM se configura para usar Mooncake, la deserializaci\u00f3n insegura expuesta directamente a trav\u00e9s de ZMQ/TCP en todas las interfaces de red permitir\u00e1 a los atacantes ejecutar c\u00f3digo remoto en hosts distribuidos. Esta vulnerabilidad de ejecuci\u00f3n remota de c\u00f3digo afecta a cualquier implementaci\u00f3n que use Mooncake para distribuir KV entre hosts distribuidos. Esta vulnerabilidad se corrigi\u00f3 en la versi\u00f3n 0.8.0."}], "id": "CVE-2025-29783", "lastModified": "2026-06-17T09:05:39.830", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "ADJACENT_NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.0, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 2.3, "impactScore": 6.0, "source": "security-advisories@github.com", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2025-29783", "options": [{"exploitation": "none"}, {"automatable": "yes"}, {"technicalImpact": "total"}], "role": "CISA Coordinator", "timestamp": "2025-03-19T18:30:27.510910Z", "version": "2.0.3"}}]}, "published": "2025-03-19T16:15:32.477", "references": [{"source": "security-advisories@github.com", "tags": ["Patch"], "url": "https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2"}, {"source": "security-advisories@github.com", "tags": ["Issue Tracking", "Vendor Advisory"], "url": "https://github.com/vllm-project/vllm/pull/14228"}, {"source": "security-advisories@github.com", "tags": ["Vendor Advisory"], "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-502"}], "source": "security-advisories@github.com", "type": "Secondary"}]}

{"bugzilla": {"description": "vllm: vLLM Allows Remote Code Execution via Mooncake Integration", "id": "2353374", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2353374"}, "csaw": false, "cvss3": {"cvss3_base_score": "10.0", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H", "status": "draft"}, "cwe": "CWE-502", "details": ["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.", "A flaw was found in vLLM. In deployments where vLLM is configured to use Mooncake to distribute KV across hosts, this vulnerability allows remote code execution via unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces."], "mitigation": {"lang": "en:us", "value": "A possible mitigation would be making fields transient which protect them from deserialization and helping to prevent this attack."}, "name": "CVE-2025-29783", "package_state": [{"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/bootc-amd-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/bootc-aws-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/bootc-azure-amd-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/bootc-azure-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/bootc-gcp-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/bootc-ibm-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/bootc-intel-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/bootc-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/instructlab-amd-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/instructlab-intel-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/instructlab-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Not affected", "package_name": "rhelai1/ui-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}], "public_date": "2025-03-19T15:33:28Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2025-29783\nhttps://nvd.nist.gov/vuln/detail/CVE-2025-29783\nhttps://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2\nhttps://github.com/vllm-project/vllm/pull/14228\nhttps://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7"], "statement": "RHEL-AI is not affected as it does not include Mooncake, which is required for vLLM to be configured in a way that would expose this vulnerability.", "threat_severity": "Critical"}

{}