In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
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cve-icon MITRE Information

Status: PUBLISHED

Assigner: GitHub_M

Published: 2020-09-25T18:40:25

Updated: 2020-09-25T18:40:25

Reserved: 2020-06-25T00:00:00


Link: CVE-2020-15198

JSON object: View

cve-icon NVD Information

Status : Analyzed

Published: 2020-09-25T19:15:15.057

Modified: 2021-11-18T17:22:34.007


Link: CVE-2020-15198

JSON object: View

cve-icon Redhat Information

No data.