CVE-2025-55011
Aug. 13, 2025, 5:34 p.m.
6.4
Medium
Description
Kanboard is project management software that focuses on the Kanban methodology. Prior to version 1.2.47, the createTaskFile method in the API does not validate whether the task_id parameter is a valid task id, nor does it check for path traversal. As a result, a malicious actor could write a file anywhere on the system the app user controls. The impact is limited due to the filename being hashed and having no extension. This issue has been patched in version 1.2.47.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Kanboard |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
*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 | kanboard | kanboard | <1.2.47 | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: CHANGED
- Confidentiality Impact: LOW
- Integrity Impact: LOW
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N
Timeline
Published: Aug. 12, 2025, 4:15 p.m.
Last Modified: Aug. 13, 2025, 5:34 p.m.
Last Modified: Aug. 13, 2025, 5:34 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.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.