FPE in TFLite pooling operations
Moderate severity
GitHub Reviewed
Published
Aug 11, 2021
in
tensorflow/tensorflow
•
Updated Feb 1, 2023
Description
Published by the National Vulnerability Database
Aug 12, 2021
Reviewed
Aug 24, 2021
Published to the GitHub Advisory Database
Aug 25, 2021
Last updated
Feb 1, 2023
Impact
The implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0.
Patches
We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695.
The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 members of the Aivul Team from Qihoo 360.
References