TensorFlow vulnerable to segfault in `QuantizedAvgPool`
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
If
QuantizedAvgPool
is givenmin_input
ormax_input
tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.Patches
We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622.
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 Neophytos Christou, Secure Systems Labs, Brown University.
References