CVE-2026-1388
Feb. 25, 2026, 9:16 p.m.
7.5
High
Description
GitLab has remediated an issue in GitLab CE/EE affecting all versions from 9.2 before 18.7.5, 18.8 before 18.8.5, and 18.9 before 18.9.1 that could have allowed an unauthenticated user to cause regular expression denial of service by sending specially crafted input to a merge request endpoint under certain conditions.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Gitlab |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-1333
Inefficient Regular Expression Complexity
The product uses a regular expression with an inefficient, possibly exponential worst-case computational complexity that consumes excessive CPU cycles.
*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 | 9.2 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ce | 18.7.5 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ce | 18.8 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ce | 18.9 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | 9.2 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | 18.7.5 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | 18.8 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | 18.9 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Timeline
Published: Feb. 25, 2026, 9:16 p.m.
Last Modified: Feb. 25, 2026, 9:16 p.m.
Last Modified: Feb. 25, 2026, 9:16 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
*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.