GitHub Advisoryadvisory · PyPI
GHSA-gf97-q72m-7579 TensorFlow has Null Pointer Error in RandomShuffle with XLA enable
HIGH
Official page ↗
- Aliases
- CVE-2023-25674
- 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-476
- 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
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.
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 for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by r3pwnx
Related
Alias · CVE (1)
- CVE-2023-25674 TensorFlow is an open source machine learning platform. vulnerability
Weakness · CWE (1)
- CWE-476 NULL Pointer Dereference weakness