GHSA-5w96-866f-6rm8
TensorFlow has Floating Point Exception in TFLite in conv kernel
Packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| PyPI | tensorflow | < 2.11.1 | 2.11.1 |
| PyPI | tensorflow-cpu | < 2.11.1 | 2.11.1 |
| PyPI | tensorflow-gpu | < 2.11.1 | 2.11.1 |
Details
As written in the advisory (Markdown source, shown as plain text).
### 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](https://github.com/tensorflow/tensorflow/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](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) 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
External links from the advisory. They lead to third-party sites.