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Kanboard 1.2.7 Cross Site Scripting

Kanboard 1.2.7 Cross Site Scripting
Posted May 27, 2019
Authored by Mithat Gogebakan | Site netsparker.com

Kanboard version 1.2.7 suffers from a cross site scripting vulnerability.

tags | exploit, xss
advisories | CVE-2019-7324
SHA-256 | a58b7d6eeb41ea41e14a67f936e8739705bd08162e668835de7bf2b9bb704ad7

Kanboard 1.2.7 Cross Site Scripting

Change Mirror Download
Reflected Cross-site Scripting Vulnerability in Kanboard 1.2.7

Information
--------------------

Advisory by Netsparker
Name: Reflected Cross-site Scripting in Kanboard
Affected Software: Kanboard
Affected Versions: 1.2.7
Homepage: https://kanboard.org/
Vulnerability: Reflected Cross-site Scripting
Severity: Medium
Status: Fixed
CVE-ID: CVE-2019-7324
CVSS Score (3.0): VA:N/AC:L/PR:N/UI:R/S:C/C:H/I:N/A:N
Netsparker Advisory Reference: NS-19-001

Technical Details
--------------------

URL: http://localhost/kanboard-1.2.7/?controller=DashboardController&action=show&pagination=projects&user_id=1&page=1&order=%22%3E%3Cimg%20src=x%20onerror=alert(0)%3E
Parameter Name: order
Parameter Type: GET
Attack Patern: "><img src=x onerror=alert(0)>

Auth: required

Github: https://github.com/kanboard/kanboard/commit/83deec2e3621c40d15a06e2491f27571d32fe10f

For more information on cross-site scripting vulnerabilities read the article Cross-site Scripting (XSS).

Advisory Timeline
--------------------

30th January 2019 - First Contact
31st January 2019 - Vendor Fixed
27th May 2019 - Advisory Released

Credits & Authors
--------------------

These issues have been discovered by Mithat Gogebakan while testing the Netsparker Web Application Security Scanner.

About Netsparker
--------------------

Netsparker web application security scanner finds and reports security flaws and vulnerabilities such as SQL Injection and Cross-site Scripting (XSS) in all websites and web applications, regardless of the platform and technology they are built on. Netsparker scanning engine’s unique detection and exploitation techniques allow it to be dead accurate in reporting vulnerabilities.

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