CVE-2025-9486
3.3 · LOWOverview
CVE-2025-9486 is a low-severity vulnerability affecting gitlab gitlab. It was published on August 12, 2026 and has a CVSS 3.1 base score of 3.3 (LOW).
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
GitLab has remediated an issue in GitLab EE affecting all versions from 15.6 before 19.0.6, 19.1 before 19.1.4, and 19.2 before 19.2.2 that under certain conditions could have allowed a user with a pending membership to receive permissions granted by a custom role, due to incorrect privilege assignment that did not account for membership state.
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 | >= 15.6.0, < 19.0.6 | Affected |
Frequently Asked Questions
What is CVE-2025-9486?
CVE-2025-9486 is a low-severity vulnerability affecting gitlab gitlab. It was published on August 12, 2026 and has a CVSS 3.1 base score of 3.3 (LOW).
How severe is CVE-2025-9486?
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2025-9486?
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-2025-9486?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-9486 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.
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