CVE-2025-2242
March 27, 2025, 4:45 p.m.
7.5
High
Description
An improper access control vulnerability in GitLab CE/EE affecting all versions from 17.4 prior to 17.8.6, 17.9 prior to 17.9.3, and 17.10 prior to 17.10.1 allows a user who was an instance admin before but has since been downgraded to a regular user to continue to maintain elevated privileges to groups and projects.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Gitlab |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-863
Incorrect Authorization
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | gitlab | gitlab_ce | 17.4-* | <17.8.6 | / | / | / | / | / | / |
| a | gitlab | gitlab_ce | 17.9-* | <17.9.3 | / | / | / | / | / | / |
| a | gitlab | gitlab_ce | 17.10-* | <17.10.1 | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | 17.4-* | <17.8.6 | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | 17.9-* | <17.9.3 | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | 17.10-* | <17.10.1 | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: HIGH
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: March 27, 2025, 1:15 p.m.
Last Modified: March 27, 2025, 4:45 p.m.
Last Modified: March 27, 2025, 4:45 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
cve@gitlab.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.