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CVE-2023-50920

5.5 · MEDIUM

An issue was discovered on GL.iNet devices before version 4.5.0.

Published Jan 12, 2024CWE-384EPSS 0.20%

Overview

CVE-2023-50920 is a medium-severity vulnerability. It was published on January 12, 2024 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical description

An issue was discovered on GL.iNet devices before version 4.5.0. They assign the same session ID after each user reboot, allowing attackers to share session identifiers between different sessions and bypass authentication or access control measures. Attackers can impersonate legitimate users or perform unauthorized actions. This affects A1300 4.4.6, AX1800 4.4.6, AXT1800 4.4.6, MT3000 4.4.6, MT2500 4.4.6, MT6000 4.5.0, MT1300 4.3.7, MT300N-V2 4.3.7, AR750S 4.3.7, AR750 4.3.7, AR300M 4.3.7, and B1300 4.3.7.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2023-50920?

CVE-2023-50920 is a medium-severity vulnerability. It was published on January 12, 2024 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

How severe is CVE-2023-50920?

This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2023-50920?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2023-50920?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2023-50920 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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