TensorFlow has null dereference on ParallelConcat with XLA

Impact

When running with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero.

```python

import tensorflow as tf

func = tf.raw_ops.ParallelConcat

para = {'shape': 0, 'values': [1]}

@tf.function(jit_compile=True)

def test():

y = func(**para)

return y

test()

`

Patches

We have patched the issue in GitHub commit [da66bc6d5ff466aee084f9e7397980a24890cd15](https://github.com/tensorflow/tensorflow/commit/da66bc6d5ff466aee084f9e7397980a24890cd15).

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