TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cqv6-3phm-hcwx | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-11-05T22:15:11
Updated: 2021-11-05T22:15:11
Reserved: 2021-09-15T00:00:00
Link: CVE-2021-41221
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-11-05T23:15:08.413
Modified: 2021-11-10T13:19:23.930
Link: CVE-2021-41221
JSON object: View
Redhat Information
No data.