{"data":{"id":"3098734b-bda8-4ac4-9a31-f6a0c8850bc6","title":"CVE-2022-21728: Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` doe","summary":"TensorFlow, an open source machine learning framework, has a bug in its shape inference for the `ReverseSequence` operation where it doesn't properly check if the `batch_dim` parameter is a negative number, allowing it to read memory outside the intended array bounds (a heap OOB read, or out-of-bounds read that accesses invalid memory). While the code checks that `batch_dim` isn't larger than the input rank, it fails to reject negative values that are too extreme, which can cause the program to access memory before the start of the array.","solution":"The fix will be included in TensorFlow 2.8.0 and will also be applied to TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3 through cherrypicking (applying the same commit to older versions).","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2022-21728","publishedAt":"2022-02-03T16:15:08.020Z","cveId":"CVE-2022-21728","cweIds":["CWE-125","CWE-125"],"cvssScore":"8.1","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":0.01124,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-540"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}