TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`

### 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

CVSS 3.1

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Severity from

GitHub (reviewed advisory)

Weakness

CWE-476

Also known as

BIT-tensorflow-2023-25660, CVE-2023-25660, PYSEC-2026-1963, PYSEC-2026-3231, PYSEC-2026-3362

• github.com/tensorflow/tensorflow/security/advisories/GHSA-qjqc-vqcf-5qvj
• nvd.nist.gov/vuln/detail/CVE-2023-25660
• github.com/tensorflow/tensorflow/commit/6d423b8bcc9aa9f5554dc988c1c16d038b508df1
• github.com/tensorflow/tensorflow