CVE-2023-25676 — TensorFlow has null dereference on ParallelConcat with XLA

Affected: tensorflow

TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.ParallelConcat` segfaults with a nullptr dereference when given a parameter `shape` with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.

GHSA-6wfh-89q8-44jq — TensorFlow has null dereference on ParallelConcat with XLA

Affected: PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu

### 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

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CVE-2023-25676 — TensorFlow has null dereference on ParallelConcat with XLA

GHSA-6wfh-89q8-44jq — TensorFlow has null dereference on ParallelConcat with XLA