{"data":{"id":"63f9169d-4396-400d-a09f-e68ab90b0cb7","title":"CVE-2021-41205: TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `","summary":"TensorFlow, an open source platform for machine learning, has a vulnerability in its shape inference functions for `QuantizeAndDequantizeV*` operations that can cause the program to read data outside the bounds of allocated memory (an out-of-bounds read, which is a memory safety error). This affects multiple versions of TensorFlow.","solution":"The fix will be included in TensorFlow 2.7.0. The patch will also be applied to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these versions are affected and still supported.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-41205","publishedAt":"2021-11-06T01:15:08.750Z","cveId":"CVE-2021-41205","cweIds":["CWE-125","CWE-125"],"cvssScore":"7.1","cvssSeverity":"high","severity":"high","attackType":[],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"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":0.95,"researchCategory":null,"atlasIds":null}}