{"data":{"id":"f1a39291-d875-44fa-ae51-9f98d9ab4e62","title":"CVE-2022-41887: TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` t","summary":"TensorFlow's poisson loss function (a tool for measuring prediction errors in machine learning) crashes when certain input dimensions multiply together and exceed the limit of a 32-bit integer, causing a size mismatch during broadcast assignment (aligning data for computation). The vulnerability affects multiple versions of TensorFlow.","solution":"The issue has been patched in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11, and will also be patched in TensorFlow 2.10.1 and 2.9.3. TensorFlow 2.8.x will not receive this patch due to dependency changes in the underlying Eigen library between versions.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2022-41887","publishedAt":"2022-11-19T03:15:14.817Z","cveId":"CVE-2022-41887","cweIds":["CWE-131"],"cvssScore":"4.8","cvssSeverity":"medium","severity":"medium","attackType":["denial_of_service"],"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":0.00134,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}