CVE-2022-23590
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.
Risk Information
Base Score
7.5
MODERATE
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score
Exploitation Probability
0.239
Associated Vulnerability
| Vulnerability | OS Platform |
|---|---|
| Multiple vulnerabilities are fixed in Python-tensorflow 2.7.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.7.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.7.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.7.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.7.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.7.1 | Linux |
Patch Details
No records foundReferences
https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234