CVE-2022-21730
Last modified
CVE-2022-21730 is a high-severity vulnerability rated 8.1/10 on the CVSS scale. Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. EPSS estimates a 0.81% chance of exploitation in the next 30 days.
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. 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.
Metrics
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | <= 2.5.2 | |
| Tensorflow | >= 2.6.0, <= 2.6.2 | |
| Tensorflow | 2.7.0 |
References
- https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4Patch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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- How Strix found a critical auth bypass in etcdStrix autonomously discovered a critical authentication bypass in etcd, later designated CVE-2026-33413.
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