Headline
GHSA-5w96-866f-6rm8: TensorFlow has Floating Point Exception in TFLite in conv kernel
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.
Package
pip tensorflow (pip)
Affected versions
< 2.11.1
Description
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
- GHSA-5w96-866f-6rm8
- tensorflow/tensorflow@34f8368
Published to the GitHub Advisory Database
Mar 24, 2023
Last updated
Mar 24, 2023
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TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.