TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
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Affected Vendors & Products
References
History
No history.
MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-11-05T22:05:14
Updated: 2024-08-04T03:08:31.625Z
Reserved: 2021-09-15T00:00:00
Link: CVE-2021-41206
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-11-05T22:15:08.397
Modified: 2024-11-21T06:25:46.353
Link: CVE-2021-41206
Redhat
No data.