GitHub Advisoryadvisory · PyPI
GHSA-jqm7-m5q7-3hm5 TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`
MEDIUM
Official page ↗
- Aliases
- CVE-2022-36001
- 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 `DrawBoundingBoxes` receives an input `boxes` that is not of dtype `float`, it gives a `CHECK` fail that can trigger a denial of service attack.
```python
import tensorflow as tf
import numpy as np
arg_0=tf.constant(value=np.random.random(size=(1, 3, 2, 3)), shape=(1, 3, 2, 3), dtype=tf.half)
arg_1=tf.constant(value=np.random.random(size=(1, 2, 4)), shape=(1, 2, 4), dtype=tf.float32)
arg_2=''
tf.raw_ops.DrawBoundingBoxes(images=arg_0, boxes=arg_1, name=arg_2)
```
Patches
We have patched the issue in GitHub commit da0d65cdc1270038e72157ba35bf74b85d9bda11.
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-2022-36001 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-jqm7-m5q7-3hm5 web
- https://nvd.nist.gov/vuln/detail/CVE-2022-36001 advisory
- https://github.com/tensorflow/tensorflow/commit/da0d65cdc1270038e72157ba35bf74b85d9bda11 web
- https://github.com/tensorflow/tensorflow package
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 web