CVE-2022-23590
Last modified
CVE-2022-23590 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. EPSS estimates a 0.96% chance of exploitation in the next 30 days.
Description
Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.
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 | < 2.7.1 |
References
- https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278Patch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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How Strix Helps
- 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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