TensorFlow has Floating Point Exception in TFLite in conv kernel
High severity
GitHub Reviewed
Published
Mar 24, 2023
in
tensorflow/tensorflow
•
Updated Mar 30, 2023
Description
Published to the GitHub Advisory Database
Mar 24, 2023
Reviewed
Mar 24, 2023
Published by the National Vulnerability Database
Mar 25, 2023
Last updated
Mar 30, 2023
Impact
Constructing a tflite model with a paramater
filter_input_channel
of less than 1 gives a FPE.Patches
We have patched the issue in GitHub commit 34f8368c535253f5c9cb3a303297743b62442aaa.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
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 was reported by Wang Xuan of Qihoo 360 AIVul Team.
References