CVE-2023-25675

描述

### 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

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-2023-25675
• PATCHhttps://github.com/tensorflow/tensorflow
• WEBhttps://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759e04b8acf
• WEBhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-7x4v-9gxg-9hwj