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CVE-2022-3482

5.3 · MEDIUM
Published Jan 26, 2023 gitlab CWE-862 EPSS 1.03% (61th pctl)

Overview

CVE-2022-3482 is a medium-severity vulnerability affecting gitlab gitlab. It was published on January 26, 2023 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

An improper access control issue in GitLab CE/EE affecting all versions from 11.3 prior to 15.3.5, 15.4 prior to 15.4.4, and 15.5 prior to 15.5.2 allowed an unauthorized user to see release names even when releases we set to be restricted to project members only

Remediation

Check the references section for vendor advisories and patches from gitlab. Update gitlab to the latest patched version. 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.

Affected Products

Vendor Product Versions Status
gitlab gitlab >= 11.3.0, < 15.4.6 Affected

Frequently Asked Questions

What is CVE-2022-3482?

CVE-2022-3482 is a medium-severity vulnerability affecting gitlab gitlab. It was published on January 26, 2023 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

How severe is CVE-2022-3482?

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2022-3482?

Check the references section for vendor advisories and patches from gitlab. Update gitlab to the latest patched version. 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-2022-3482?

CyberStrike's AI-powered security agents can automatically detect CVE-2022-3482 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.