CVE-2023-25675
TensorFlow has Segfault in Bincount with XLA
Impact
### 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
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | tensorflow | < 2.11.1 | 2.11.1 |
| pip | tensorflow-cpu | < 2.11.1 | 2.11.1 |
| pip | tensorflow-gpu | < 2.11.1 | 2.11.1 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Tensorflow | before 2.12.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759e04b8acf
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7x4v-9gxg-9hwj
- https://github.com/advisories/GHSA-7x4v-9gxg-9hwj
- https://nvd.nist.gov/vuln/detail/CVE-2023-25675