GHSA-xvwp-h6jv-7472
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
2.9.0 Fixed in: 2.9.3 pip install --upgrade 'tensorflow>=2.9.3' 2.10.0 Fixed in: 2.10.1 pip install --upgrade 'tensorflow>=2.10.1' 0 Fixed in: 2.8.4 pip install --upgrade 'tensorflow-cpu>=2.8.4' 0 Fixed in: 2.8.4 pip install --upgrade 'tensorflow-gpu>=2.8.4' 2.9.0 Fixed in: 2.9.3 pip install --upgrade 'tensorflow-cpu>=2.9.3' 2.9.0 Fixed in: 2.9.3 pip install --upgrade 'tensorflow-gpu>=2.9.3' 2.10.0 Fixed in: 2.10.1 pip install --upgrade 'tensorflow-cpu>=2.10.1' 2.10.0 Fixed in: 2.10.1 pip install --upgrade 'tensorflow-gpu>=2.10.1'