TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The 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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/368af875869a204b4ac552b9ddda59f6a46a56ec | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/abcced051cb1bd8fb05046ac3b6023a7ebcc4578 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/b619c6f865715ca3b15ef1842b5b95edbaa710ad | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/e8dc63704c88007ee4713076605c90188d66f3d2 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7pxj-m4jf-r6h2 | Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-11-05T21:05:13
Updated: 2021-11-05T21:05:13
Reserved: 2021-09-15T00:00:00
Link: CVE-2021-41203
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-11-05T21:15:08.613
Modified: 2022-10-20T21:36:57.557
Link: CVE-2021-41203
JSON object: View
Redhat Information
No data.