CVE-2022-41900
Last modified
CVE-2022-41900 is a critical-severity vulnerability rated 9.8/10 on the CVSS scale. TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. EPSS estimates a 0.58% chance of exploitation in the next 30 days.
Description
TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.8.4 | |
| Tensorflow | >= 2.9.0, < 2.9.3 | |
| Tensorflow | 2.10.0 |
References
- https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472Exploit, Patch, 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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