GHSA-68v3-g9cm-rmm6
GitHub Security Advisory
TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad
Advisory Details
### Impact
Out of bounds read in GRUBlockCellGrad
```python
func = tf.raw_ops.GRUBlockCellGrad
para = {'x': [[21.1, 156.2], [83.3, 115.4]], 'h_prev': array([[136.5],
[136.6]]), 'w_ru': array([[26.7, 0.8],
[47.9, 26.1],
[26.2, 26.3]]), 'w_c': array([[ 0.4],
[31.5],
[ 0.6]]), 'b_ru': array([0.1, 0.2 ], dtype=float32), 'b_c': 0x41414141, 'r': array([[0.3],
[0.4]], dtype=float32), 'u': array([[5.7],
[5.8]]), 'c': array([[52.9],
[53.1]]), 'd_h': array([[172.2],
[188.3 ]])}
```
### Patches
We have patched the issue in GitHub commit [ff459137c2716a2a60f7d441b855fcb466d778cb](https://github.com/tensorflow/tensorflow/commit/ff459137c2716a2a60f7d441b855fcb466d778cb).
The fix will be included in TensorFlow 2.12.0. 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.
Affected Packages
Related CVEs
Key Information
Dataset
Data from GitHub Advisory Database. This information is provided for research and educational purposes.