GHSA-93vr-9q9m-pj8p
TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch
Packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| PyPI | tensorflow | < 2.11.1 | 2.11.1 |
| PyPI | tensorflow-cpu | < 2.11.1 | 2.11.1 |
| PyPI | tensorflow-gpu | < 2.11.1 | 2.11.1 |
Details
As written in the advisory (Markdown source, shown as plain text).
### Impact
If the parameter `indices` for `DynamicStitch` does not match the shape of the parameter `data`, it can trigger an stack OOB read.
```python
import tensorflow as tf
func = tf.raw_ops.DynamicStitch
para={'indices': [[0xdeadbeef], [405], [519], [758], [1015]], 'data': [[110.27793884277344], [120.29475402832031], [157.2418212890625], [157.2626953125], [188.45382690429688]]}
y = func(**para)
```
### Patches
We have patched the issue in GitHub commit [ee004b18b976eeb5a758020af8880236cd707d05](https://github.com/tensorflow/tensorflow/commit/ee004b18b976eeb5a758020af8880236cd707d05).
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 has been reported via Google OSS VRP.
References
External links from the advisory. They lead to third-party sites.