CVE-2023-25676

描述

### 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

受影響套件(4)

• Bitnami/tensorflowfrom 0, < 2.12.0
• PyPI/tensorflowfrom 0, < 2.11.1
• PyPI/tensorflow-cpufrom 0, < 2.11.1
• PyPI/tensorflow-gpufrom 0, < 2.11.1

CVSS 分數

參考連結(4)

• ADVISORYhttps://nvd.nist.gov/vuln/detail/CVE-2023-25676
• PATCHhttps://github.com/tensorflow/tensorflow
• WEBhttps://github.com/tensorflow/tensorflow/commit/da66bc6d5ff466aee084f9e7397980a24890cd15
• WEBhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-6wfh-89q8-44jq