GitHub Advisoryadvisory · PyPI
GHSA-7x4v-9gxg-9hwj TensorFlow has Segfault in Bincount with XLA
HIGH
Official page ↗
- Aliases
- CVE-2023-25675
- Ecosystem
- PyPI
- Packages
- tensorflow, tensorflow-cpu, tensorflow-gpu
- Severity
- High
- CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Weaknesses
- CWE-697
- Reviewed
- 2023-03-24
Affected packages
• PyPI tensorflow: < 2.11.1 → fixed in 2.11.1
• PyPI tensorflow-cpu: < 2.11.1 → fixed in 2.11.1
• PyPI tensorflow-gpu: < 2.11.1 → fixed in 2.11.1
Description
Impact
When running with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor.
```python
import tensorflow as tf
func = tf.raw_ops.Bincount
para={'arr': 6, 'size': 804, 'weights': [52, 351]}
@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 8ae76cf085f4be26295d2ecf2081e759e04b8acf.
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 for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by r3pwnx of 360 AIVul Team
Related
Alias · CVE (1)
- CVE-2023-25675 TensorFlow is an open source machine learning platform. vulnerability
Weakness · CWE (1)
- CWE-697 Incorrect Comparison weakness