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.
                
            Metrics
Affected Vendors & Products
References
        History
                    No history.
 MITRE
                        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
                        Vulnrichment
                    No data.
 NVD
                        NVD
                    Status : Modified
Published: 2021-11-05T22:15:08.397
Modified: 2024-11-21T06:25:46.353
Link: CVE-2021-41206
 Redhat
                        Redhat
                    No data.