CVE-2022-21732
Severity CVSS v4.0:
Pending analysis
Type:
Unavailable / Other
Publication date:
03/02/2022
Last modified:
09/02/2022
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.
Impact
Base Score 3.x
6.50
Severity 3.x
MEDIUM
Base Score 2.0
4.00
Severity 2.0
MEDIUM
Vulnerable products and versions
| CPE | From | Up to |
|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.5.2 (including) | |
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.6.0 (including) | 2.6.2 (including) |
| cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:* |
To consult the complete list of CPE names with products and versions, see this page
References to Advisories, Solutions, and Tools
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135
- https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq



