Lack of data validation In tensorflow
Description
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
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Attribution
This vulnerability was reported by Wang Xuan of Qihoo 360 AIVul Team.
Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Component | Affected version | Patched versions |
|---|---|---|---|
 pypi | 2.11.1 | ||
pypi | 2.11.1 | ||
pypi | 2.11.1 |
Aliases
References