{"data":{"id":"3aaa166b-469f-438c-a571-7bfb5ab9195f","title":"CVE-2021-29553: TensorFlow is an end-to-end open source platform for machine learning. An attacker can read data outside of bounds of he","summary":"TensorFlow, an open-source machine learning platform, has a vulnerability in the `tf.raw_ops.QuantizeAndDequantizeV3` function where an attacker can read data outside the bounds of a heap allocated buffer (memory region used for dynamic storage) by exploiting an unvalidated `axis` attribute. The code fails to check the user-supplied `axis` value before using it to access array elements, potentially allowing unauthorized data access.","solution":"The fix will be included in TensorFlow 2.5.0. The vulnerability will also be patched in TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-29553","publishedAt":"2021-05-15T00:15:13.117Z","cveId":"CVE-2021-29553","cweIds":["CWE-125"],"cvssScore":"2.5","cvssSeverity":"low","severity":"low","attackType":["data_extraction"],"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":0.00017,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-540"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}