CVE-2022-35999
Last modified
CVE-2022-35999 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. EPSS estimates a 0.38% chance of exploitation in the next 30 days.
Description
TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
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 | Update |
|---|---|---|---|
| Tensorflow | < 2.7.2 | — | |
| Tensorflow | >= 2.8.0, < 2.8.1 | — | |
| Tensorflow | >= 2.9.0, < 2.9.1 | — | |
| Tensorflow | 2.10 | Rc0 |
References
- https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqwThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqwThird 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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