CVE-2022-21732
The implementation of `ThreadPoolHandle` can be used to trigger a denial of service attack by allocating too much memory.
Does this matter?
Lower severity and a low EPSS score (0.77%). Track it; it rarely justifies an emergency change on its own.
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.
- CVSS 3.1
- 6.5 MEDIUMCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- EPSS
- 0.77% probability · 53th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-770
- Affected
- google/tensorflow
- Source
- security-advisories@github.com
References
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75ePatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cqPatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75ePatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cqPatch, Third Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.