TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`

Impact

When the parameter summarize of tf.raw_ops.Print is zero, the new method SummarizeArray<bool> will reference to a nullptr, leading to a seg fault.

```python

import tensorflow as tf

tf.raw_ops.Print(input = tf.constant([1, 1, 1, 1],dtype=tf.int32),

data = [[False, False, False, False], [False], [False, False, False]],

message = 'tmp/I',

first_n = 100,

summarize = 0)

`

Patches

We have patched the issue in GitHub commit [6d423b8bcc9aa9f5554dc988c1c16d038b508df1](https://github.com/tensorflow/tensorflow/commit/6d423b8bcc9aa9f5554dc988c1c16d038b508df1).

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 Yu Tian of Qihoo 360 AIVul Team