{"data":{"id":"a7429469-8fa1-4b20-952f-5a1bc31573ce","title":"CVE-2021-41211: TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV","summary":"TensorFlow, an open-source machine learning platform, has a vulnerability in its shape inference code for the `QuantizeV2` function that allows reading memory outside of the intended boundaries (heap OOB read, or out-of-bounds read) when the `axis` parameter is given a negative value less than -1. This happens because the code doesn't properly validate that negative axis values stay within acceptable bounds before accessing memory.","solution":"The fix will be included in TensorFlow 2.7.0. The fix will also be applied to TensorFlow 2.6.1, as this is the only other version affected.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-41211","publishedAt":"2021-11-06T01:15:08.813Z","cveId":"CVE-2021-41211","cweIds":["CWE-125","CWE-125"],"cvssScore":"7.1","cvssSeverity":"high","severity":"high","attackType":["other"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["NVIDIA"],"affectedVendorsRaw":["TensorFlow"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00019,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-540"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}