CVEvulnerability
CVE-2022-21732
6.5 MEDIUM
Official page ↗
- Status
- Modified
- Published
- 2022-02-03
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 4.3 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
- CVSS 3.1 ([email protected])
- 6.5 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- CVSS 2.0 ([email protected])
- 4.0 MEDIUM — AV:N/AC:L/Au:S/C:N/I:N/A:P
- Weaknesses
- CWE-770
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.
Affected configurations
• google tensorflow (<= 2.5.2)
• google tensorflow (>= 2.6.0 <= 2.6.2)
• google tensorflow 2.7.0
Related
Weakness · CWE (1)
- CWE-770 Allocation of Resources Without Limits or Throttling weakness
References
- 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
- 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