CVE-2022-21732
Memory exhaustion in Tensorflow
- State
- Published
- Severity
- 4.3 Medium
- Published
- Feb 3, 2022
- Updated
- Feb 12, 2025
- Reserved
- Nov 16, 2021
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `ThreadPoolHandle` can be used to trigger a denial of service attack by allocating too much memory. This is because the `num_threads` argument is only checked to not be negative, but there is no upper bound on its value. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Scores
| CVSS | Score | Vector | Source |
|---|---|---|---|
| 3.1 | 4.3 Medium | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L | GitHub_M |
Weaknesses
The record names no weakness.
Affected Products
| Product | Versions |
|---|---|
n/an/a |
|
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq
- https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135
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