SQLi in Signum Technologies' windesk.fm

The SQL Injection vulnerability in Windesk.Fm poses a significant risk. An attacker could inject malicious SQL code into user inputs, bypassing security measures and directly interacting with the underlying database. This could lead to the extraction of sensitive information such as user credentials, financial data, or proprietary business information. Furthermore, depending on database permissions, an attacker might be able to modify or delete data, disrupt application functionality, or even gain control of the database server itself. The potential blast radius extends to any data stored within the Windesk.Fm database, making this a high-priority concern.

Organizations utilizing Windesk.Fm for any purpose, particularly those handling sensitive data such as financial information or user credentials, are at significant risk. Shared hosting environments where multiple users share the same Windesk.Fm instance are especially vulnerable, as a compromise of one user's account could potentially expose the entire system.

• php: Examine application logs for SQL errors or unusual query patterns. Use grep to search for suspicious SQL commands in log files.

grep -i 'SELECT .* FROM .* WHERE' /var/log/php_errors.log

• generic web: Use curl to test for SQL Injection vulnerabilities on input fields.

curl 'http://windesk.fm/search?q=<script>alert("XSS")</script>'

• database (mysql): If database access is possible, check for unusual database users or privileges.

SELECT User, Host FROM mysql.user;

1. 2026-02-27Disclosure

   disclosure

2. 2026-02-27Patch

   patch

1. Reserviert2025-10-03
2. Veröffentlicht2026-02-27
3. Geändert2026-04-16
4. EPSS aktualisiert2026-03-23

The primary mitigation for CVE-2025-11252 is to immediately upgrade Windesk.Fm to version 2.3.4 or later. If upgrading is not immediately feasible due to compatibility issues or downtime constraints, consider implementing temporary workarounds. Input validation and sanitization techniques can help prevent malicious SQL code from reaching the database. Web Application Firewalls (WAFs) configured with rules to detect and block SQL Injection attempts can provide an additional layer of defense. After upgrading, verify the fix by attempting a SQL Injection payload through a vulnerable input field; the application should reject the input and log the attempt.