Kanboard Configuration Disclosure Scanner
This scanner detects the use of Kanboard Configuration Disclosure in digital assets. It identifies exposed SQLite database files that contain sensitive information like user credentials and project data.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
18 days 3 hours
Scan only one
URL
Toolbox
Kanboard is an open-source project management software that is used by organizations to manage tasks, projects, and workflows efficiently. It offers features like task visualization, time tracking, and automation, making it a popular choice for small to medium-sized teams looking for simple project management solutions. The software is web-based and can be accessed through any browser, providing flexibility for remote teams. Users can customize their workflows, utilize rich plugins, and integrate Kanboard with other services to enhance functionality. Typically, IT teams, project managers, and developers make use of Kanboard for efficient task management and project tracking. The software can be hosted on-premises, providing full control over data and security to the organizations using it.
The vulnerability detected involves the exposure of the Kanboard SQLite database file, which contains sensitive information. Such exposure is a result of security misconfiguration decisions or errors, allowing unauthorized access to important data. The exposed database may contain user credentials, project data, tasks, and comments, raising privacy concerns. Attackers could exploit this misconfiguration to gain unauthorized insights into projects and user data, potentially leading to further attacks or transfers of information. This type of vulnerability arises when default configurations, improper permissions, or overlooked settings are employed during setup or maintenance of the software. The exposure may not only lead to immediate information leakage but can also serve as a stepping stone for additional malicious activities.
The technical details of this vulnerability involve access to the database file via specific URL paths such as '{{BaseURL}}/data/db.sqlite'. When accessed without adequate security controls, the database file is served, displaying its contents directly in the browser. Indicators of the vulnerability include certain HTTP status codes and the presence of tables identifiable by terms like "SQLite format 3", "CREATE TABLE", and "INTEGER PRIMARY KEY". This misconfiguration makes the system susceptible by allowing database access over HTTP without authentication, increasing the risk of data compromise. To detect and mitigate this weakness, specific URL patterns are scanned, and responses analyzed for signatures identical to SQLite database files.
When this vulnerability is exploited, significant potential effects include unauthorized user access to sensitive project and user data, leading to data breaches. Exposed user credentials may be used to compromise user accounts and mount further attacks. Beyond data theft, it could result in loss of client trust, reputational damage, and possible financial consequences due to breached confidentiality agreements or regulations. Malicious actors may exploit the information to sabotage projects or leverage credentials for social engineering attacks. Additionally, it diverts resources to emergency response, investigation, and remediation efforts when such exposures occur.
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