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BIT-tensorflow-2023-25660 — TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`

Affected: Bitnami: tensorflow

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray<bool>` will reference to a nullptr, leading to a seg fault. A fix is included in TensorFlow version 2.12 and version 2.11.1.

EUVD-2026-218398

fkie_cve-2023-25660

GHSA-qjqc-vqcf-5qvj — TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`

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

### Impact When the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray<bool>` will reference to a nullptr, leading to a seg fault.

```python import tensorflow as tf

tf.raw_ops.Print(input = tf.constant([1, 1, 1, 1],dtype=tf.int32), data = [[False, False, False, False], [False], [False, False, False]], message = 'tmp/I', first_n = 100, summarize = 0) ```

### Patches We have patched the issue in GitHub commit [6d423b8bcc9aa9f5554dc988c1c16d038b508df1](https://github.com/tensorflow/tensorflow/commit/6d423b8bcc9aa9f5554dc988c1c16d038b508df1).

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 Yu Tian of Qihoo 360 AIVul Team

gsd-2023-25660

msrc_CVE-2023-25660 — TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`

msrc_CVE-2023-25660