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BIT-tensorflow-2023-25675 — TensorFlow has Segfault in Bincount with XLA

Affected: Bitnami: 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.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1.

EUVD-2026-218390

fkie_cve-2023-25675

GHSA-7x4v-9gxg-9hwj — TensorFlow has Segfault in Bincount with XLA

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

### Impact When running with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor.

```python import tensorflow as tf

func = tf.raw_ops.Bincount para={'arr': 6, 'size': 804, 'weights': [52, 351]}

@tf.function(jit_compile=True) def fuzz_jit(): y = func(**para) return y

print(fuzz_jit()) ```

### Patches We have patched the issue in GitHub commit [8ae76cf085f4be26295d2ecf2081e759e04b8acf](https://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759e04b8acf).

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

gsd-2023-25675

msrc_CVE-2023-25675 — TensorFlow has Segfault in Bincount with XLA

msrc_CVE-2023-25675

PYSEC-2026-3131 — TensorFlow has Segfault in Bincount with XLA

Affected: PyPI: tensorflow