GHSA-xvwp-h6jv-7472
FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess
Packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| PyPI | tensorflow | < 2.8.4 | 2.8.4 |
| PyPI | tensorflow | >= 2.9.0, < 2.9.3 | 2.9.3 |
| PyPI | tensorflow | >= 2.10.0, < 2.10.1 | 2.10.1 |
| PyPI | tensorflow-cpu | < 2.8.4 | 2.8.4 |
| PyPI | tensorflow-gpu | < 2.8.4 | 2.8.4 |
| PyPI | tensorflow-cpu | >= 2.9.0, < 2.9.3 | 2.9.3 |
| PyPI | tensorflow-gpu | >= 2.9.0, < 2.9.3 | 2.9.3 |
| PyPI | tensorflow-cpu | >= 2.10.0, < 2.10.1 | 2.10.1 |
| PyPI | tensorflow-gpu | >= 2.10.0, < 2.10.1 | 2.10.1 |
Details
As written in the advisory (Markdown source, shown as plain text).
### 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.
References
External links from the advisory. They lead to third-party sites.