{"data":{"id":"866d04e4-d573-4b74-9b4a-71f430fa4cae","title":"CVE-2026-27489: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, ","summary":"ONNX (Open Neural Network Exchange, a standard format for sharing machine learning models) versions before 1.21.0 have a path traversal vulnerability via symlink (a shortcut that points to files outside its intended folder), allowing attackers to read arbitrary files outside the model or user-provided directory. This vulnerability has a CVSS score (0-10 severity rating) of 8.7, indicating high severity.","solution":"Update to ONNX version 1.21.0 or later, where this issue has been patched.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-27489","publishedAt":"2026-04-01T18:16:28.287Z","cveId":"CVE-2026-27489","cweIds":["CWE-23","CWE-61"],"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["data_extraction"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["ONNX"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0,"patchAvailable":null,"disclosureDate":"2026-04-01T18:16:28.287Z","capecIds":["CAPEC-126"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}