CVE-2025-0639
April 24, 2025, 8:15 a.m.
6.5
Medium
Description
An issue has been discovered affecting service availability via issue preview in GitLab CE/EE affecting all versions from 16.7 before 17.9.7, 17.10 before 17.10.5, and 17.11 before 17.11.1.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Gitlab |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-770
Allocation of Resources Without Limits or Throttling
The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor.
*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 | 16.7 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ce | <17.9.7 | / | / | / | / | / | / | |
| a | gitlab | gitlab_ee | 16.7 | / | / | / | / | / | / | / |
| a | gitlab | gitlab_ee | <17.9.7 | / | / | / | / | / | / | |
| a | gitlab | gitlab_ce | <17.10.5 | / | / | / | / | / | / | |
| a | gitlab | gitlab_ee | <17.10.5 | / | / | / | / | / | / | |
| a | gitlab | gitlab_ce | <17.11.1 | / | / | / | / | / | / | |
| a | gitlab | gitlab_ee | <17.11.1 | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Timeline
Published: April 24, 2025, 8:15 a.m.
Last Modified: April 24, 2025, 8:15 a.m.
Last Modified: April 24, 2025, 8:15 a.m.
Status : Received
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.