TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`
Moderate severity
GitHub Reviewed
Published
Sep 15, 2022
in
tensorflow/tensorflow
•
Updated Jan 28, 2023
Description
Published by the National Vulnerability Database
Sep 16, 2022
Published to the GitHub Advisory Database
Sep 16, 2022
Reviewed
Sep 16, 2022
Last updated
Jan 28, 2023
Impact
When
tf.linalg.matrix_rank
receives an empty inputa
, the GPU kernel gives aCHECK
fail that can be used to trigger a denial of service attack.Patches
We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Kang Hong Jin.
References