CVE-2024-51747
Nov. 12, 2024, 1:55 p.m.
9.1
Critical
Description
Kanboard is project management software that focuses on the Kanban methodology. An authenticated Kanboard admin can read and delete arbitrary files from the server. File attachments, that are viewable or downloadable in Kanboard are resolved through its `path` entry in the `project_has_files` SQLite db. Thus, an attacker who can upload a modified sqlite.db through the dedicated feature, can set arbitrary file links, by abusing path traversals. Once the modified db is uploaded and the project page is accessed, a file download can be triggered and all files, readable in the context of the Kanboard application permissions, can be downloaded. This issue has been addressed in version 1.2.42 and all users are advised to upgrade. There are no known workarounds for this vulnerability.
Product(s) Impacted
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.
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: HIGH
- Scope: CHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
Timeline
Published: Nov. 11, 2024, 8:15 p.m.
Last Modified: Nov. 12, 2024, 1:55 p.m.
Last Modified: Nov. 12, 2024, 1:55 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.