TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation

Impact

The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming input(0), input(1), and input(2) to be scalar.

```python

import tensorflow as tf

tf.raw_ops.SobolSample(dim=tf.constant([1,0]), num_results=tf.constant([1]), skip=tf.constant([1]))

`

Patches

We have patched the issue in GitHub commit [c65c67f88ad770662e8f191269a907bf2b94b1bf](https://github.com/tensorflow/tensorflow/commit/c65c67f88ad770662e8f191269a907bf2b94b1bf).

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:

• Kang Hong Jin from Singapore Management University
• Neophytos Christou, Secure Systems Labs, Brown University
• 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology