chore: import upstream snapshot with attribution
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## TFSA-2023-005: Null dereference on ParallelConcat with XLA
### CVE Number
CVE-2023-25676
### 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