{"data":{"id":"0669f01c-76e6-45c8-877f-2ff5d8566f06","title":"CVE-2021-29532: TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds","summary":"TensorFlow, an open-source machine learning platform, has a vulnerability in the `tf.raw_ops.RaggedCross` function that allows attackers to access memory outside the intended boundaries of arrays (heap OOB reads, meaning out-of-bounds reads in heap memory) by sending specially crafted invalid tensor values. The problem occurs because the code doesn't validate user-supplied arguments before using them to access array elements.","solution":"The fix will be included in TensorFlow 2.5.0. It will also be backported (applied to older versions still being supported) to 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-2021-29532","publishedAt":"2021-05-15T00:15:12.073Z","cveId":"CVE-2021-29532","cweIds":["CWE-125"],"cvssScore":"2.5","cvssSeverity":"low","severity":"low","attackType":["other"],"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","integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}