CVE-2024-9163
May 23, 2025, 3:54 p.m.
3.5
Low
Description
A business logic error in GitLab CE/EE affecting all versions starting from 12.1 prior to 17.10.7, 17.11 prior to 17.11.3 and 18.0 prior to 18.0.1 where an attacker can cause a branch name confusion in confidential MRs.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Gitlab |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-451
User Interface (UI) Misrepresentation of Critical Information
The user interface (UI) does not properly represent critical information to the user, allowing the information - or its source - to be obscured or spoofed. This is often a component in phishing attacks.
*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 | 12.1 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ce | <17.10.7 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | 12.1 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | <17.10.7 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ce | <17.11.3 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | <17.11.3 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ce | <18.0.1 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | <18.0.1 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:N/A:N
Timeline
Published: May 23, 2025, 1:15 p.m.
Last Modified: May 23, 2025, 3:54 p.m.
Last Modified: May 23, 2025, 3:54 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.