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{"cveTags": [], "descriptions": [{"lang": "en", "value": "Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python\u2019s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn\u2019t check if the \"keys\" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0."}], "id": "CVE-2026-34445", "lastModified": "2026-04-01T18:16:30.500", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 8.6, "baseSeverity": "HIGH", "confidentialityImpact": "LOW", "integrityImpact": "LOW", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H", "version": "3.1"}, "exploitabilityScore": 3.9, "impactScore": 4.7, "source": "security-advisories@github.com", "type": "Secondary"}]}, "published": "2026-04-01T18:16:30.500", "references": [{"source": "security-advisories@github.com", "url": "https://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b"}, {"source": "security-advisories@github.com", "url": "https://github.com/onnx/onnx/pull/7751"}, {"source": "security-advisories@github.com", "url": "https://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Received", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-20"}, {"lang": "en", "value": "CWE-400"}, {"lang": "en", "value": "CWE-915"}], "source": "security-advisories@github.com", "type": "Primary"}]}

{"bugzilla": {"description": "ONNX: python: ONNX: Denial of Service and potential information disclosure via malicious model metadata", "id": "2453930", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2453930"}, "csaw": false, "cvss3": {"cvss3_base_score": "6.6", "cvss3_scoring_vector": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:H", "status": "draft"}, "cwe": "CWE-915", "details": ["A flaw was found in Open Neural Network Exchange (ONNX). An attacker could exploit a vulnerability in how ONNX processes model metadata, specifically within the ExternalDataInfo class. By crafting a malicious ONNX model, an attacker could overwrite internal object properties, leading to a denial of service, which makes the system unavailable. This vulnerability could also result in limited information disclosure or data alteration."], "name": "CVE-2026-34445", "package_state": [{"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-openvino-model-server-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Under investigation", "package_name": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-04-01T17:30:19Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-34445\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-34445\nhttps://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b\nhttps://github.com/onnx/onnx/pull/7751\nhttps://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9"], "threat_severity": "Moderate"}

{}