{"data":{"id":"6c00f971-4d19-46cf-8c70-2f9d2b679dfc","title":"CVE-2024-27319: Versions of the package onnx before and including 1.15.0 are vulnerable to Out-of-bounds Read as the ONNX_ASSERT and ONN","summary":"ONNX (a machine learning model format library) versions 1.15.0 and earlier have an out-of-bounds read vulnerability (accessing memory outside intended boundaries) caused by an off-by-one error in the ONNX_ASSERT and ONNX_ASSERTM functions, which handle string copying. This flaw could allow attackers to read sensitive data from memory.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2024-27319","publishedAt":"2024-02-23T23:15:50.960Z","cveId":"CVE-2024-27319","cweIds":["CWE-125","CWE-125"],"cvssScore":"4.4","cvssSeverity":"medium","severity":"medium","attackType":[],"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":0.00063,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-540"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}