CVE-2022-41895
Last modified
CVE-2022-41895 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. EPSS estimates a 0.44% chance of exploitation in the next 30 days.
Description
TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.8.4 | |
| Tensorflow | >= 2.9.0, < 2.9.3 | |
| Tensorflow | >= 2.10.0, < 2.10.1 |
References
- https://github.com/tensorflow/tensorflow/commit/717ca98d8c3bba348ff62281fdf38dcb5ea1ec92Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gq2j-cr96-gvqxExploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/717ca98d8c3bba348ff62281fdf38dcb5ea1ec92Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gq2j-cr96-gvqxExploit, 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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