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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135 | Exploit Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq | Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2022-02-03T11:21:48
Updated: 2022-02-03T11:21:48
Reserved: 2021-11-16T00:00:00
Link: CVE-2022-21732
JSON object: View
NVD Information
Status : Analyzed
Published: 2022-02-03T12:15:07.933
Modified: 2022-02-09T03:08:52.380
Link: CVE-2022-21732
JSON object: View
Redhat Information
No data.
CWE