CVE-2022-35985
Last modified
CVE-2022-35985 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. EPSS estimates a 0.38% chance of exploitation in the next 30 days.
Description
TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. 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/bd90b3efab4ec958b228cd7cfe9125be1c0cf255Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cpThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cpThird 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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