GitHub Advisoryadvisory · PyPI
GHSA-qhw4-wwr7-gjc5 TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList`
MEDIUM
Official page ↗
- Aliases
- CVE-2022-35998
- Ecosystem
- PyPI
- Packages
- tensorflow
- 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
Description
Impact
If `EmptyTensorList` receives an input `element_shape` with more than one dimension, it gives a `CHECK` fail that can be used to trigger a denial of service attack.
```python
import tensorflow as tf
tf.raw_ops.EmptyTensorList(element_shape=tf.ones(dtype=tf.int32, shape=[1, 0]), max_num_elements=tf.constant(1),element_dtype=tf.int32)
```
Patches
We have patched the issue in GitHub commit c8ba76d48567aed347508e0552a257641931024d.
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 Kang Hong Jin.
Related
Alias · CVE (1)
- CVE-2022-35998 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-qhw4-wwr7-gjc5 web
- https://nvd.nist.gov/vuln/detail/CVE-2022-35998 advisory
- https://github.com/tensorflow/tensorflow/commit/c8ba76d48567aed347508e0552a257641931024d web
- https://github.com/tensorflow/tensorflow package
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 web