PYSEC-2026-1049
FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess
Details
### Impact An input `pooling_ratio` that is smaller than 1 will trigger a heap OOB in [`tf.raw_ops.FractionalMaxPool`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc) and [`tf.raw_ops.FractionalAvgPool`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_avg_pool_op.cc).
### Patches We have patched the issue in GitHub commit [216525144ee7c910296f5b05d214ca1327c9ce48](https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48).
The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
### 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.
Are you affected?
Enter the version of the package you're using.
Affected packages
0 Fixed in: 2.8.4 pip install --upgrade 'tensorflow-gpu>=2.8.4' References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472 [WEB]
- https://nvd.nist.gov/vuln/detail/CVE-2022-41900 [ADVISORY]
- https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48 [WEB]
- https://github.com/tensorflow/tensorflow [PACKAGE]
- https://pypi.org/project/tensorflow-gpu [PACKAGE]
- https://github.com/advisories/GHSA-xvwp-h6jv-7472 [ADVISORY]