CVE-2025-11252: Signumtte Windesk.fm SQLi Vulnerability

CVE-2025-11252 Overview

CVE-2025-11252 is a critical SQL Injection vulnerability affecting Signum Technology Promotion and Training Inc.'s Windesk.Fm application. This vulnerability allows attackers to inject malicious SQL commands through improperly neutralized user input, potentially leading to unauthorized access to sensitive data, data manipulation, or complete database compromise.

The vendor was contacted about this disclosure but did not respond, leaving users potentially exposed without an official patch.

Critical Impact

This SQL Injection vulnerability enables unauthenticated attackers to execute arbitrary SQL commands against the backend database, potentially resulting in complete data breach, data manipulation, or destruction of critical business information.

Affected Products

• Signum Technology Windesk.Fm through version 27022026
• signumtte windesk.fm (all versions up to and including 27022026)

Discovery Timeline

• 2026-02-27 - CVE-2025-11252 published to NVD
• 2026-02-28 - Last updated in NVD database

Technical Details for CVE-2025-11252

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists in Windesk.Fm due to improper neutralization of special elements used in SQL commands. The application fails to adequately sanitize user-supplied input before incorporating it into SQL queries, allowing attackers to inject malicious SQL statements that are then executed by the database engine.

The vulnerability can be exploited remotely without requiring authentication or user interaction. Successful exploitation grants attackers the ability to read, modify, or delete data within the database. In severe cases, attackers may leverage SQL Injection to execute operating system commands on the underlying database server, potentially leading to full system compromise.

Root Cause

The root cause of this vulnerability is the failure to properly validate, sanitize, or parameterize user input before using it in SQL queries. When user-controlled data is directly concatenated into SQL statements without proper escaping or the use of prepared statements, malicious input can alter the intended query logic.

Common patterns that lead to this vulnerability include:

• Direct string concatenation of user input into SQL queries
• Lack of input validation on form fields, URL parameters, or API endpoints
• Absence of parameterized queries or prepared statements
• Insufficient use of stored procedures with proper input handling

Attack Vector

The attack vector for CVE-2025-11252 is network-based, requiring no privileges or user interaction. An attacker can exploit this vulnerability by sending specially crafted HTTP requests containing SQL injection payloads to vulnerable endpoints within the Windesk.Fm application.

SQL Injection attacks typically follow these stages: reconnaissance to identify injectable parameters, payload construction to test for vulnerability presence, data extraction using UNION-based or blind SQL injection techniques, and potentially privilege escalation or command execution depending on database configuration.

For technical details on this vulnerability, refer to the USOM Security Advisory.

Detection Methods for CVE-2025-11252

Indicators of Compromise

• Unusual database query patterns in application or database logs showing SQL syntax characters such as single quotes, semicolons, or comment sequences
• Unexpected database errors or error messages exposed to end users indicating query failures
• Anomalous network traffic patterns to database servers from web application hosts
• Evidence of data exfiltration or unauthorized data access in database audit logs
• Web application firewall (WAF) alerts for SQL injection attack signatures

Detection Strategies

• Deploy Web Application Firewall (WAF) rules specifically designed to detect SQL injection patterns including UNION-based, blind, and time-based techniques
• Enable detailed database query logging and monitor for malformed or suspicious queries containing injection syntax
• Implement application-level logging to capture and alert on input containing SQL metacharacters
• Use database activity monitoring (DAM) solutions to detect unusual query patterns or access to sensitive tables

Monitoring Recommendations

• Configure SIEM correlation rules to identify SQL injection attack patterns across web and database logs
• Monitor for unusual database response times which may indicate time-based blind SQL injection attempts
• Track failed query rates and database error frequencies for anomaly detection
• Implement real-time alerting for access to sensitive database tables from unexpected sources

How to Mitigate CVE-2025-11252

Immediate Actions Required

• Implement Web Application Firewall (WAF) rules to block common SQL injection patterns and payloads
• Review and restrict database user permissions following the principle of least privilege
• Enable database auditing and logging for forensic analysis
• Consider taking the vulnerable application offline or restricting access until a patch is available
• Contact Signum Technology for guidance on remediation or alternative solutions

Patch Information

As of the publication date, no official patch has been released by the vendor. The vendor was contacted about this vulnerability but did not respond. Users should monitor the USOM Security Advisory for updates.

Until a patch is available, organizations should implement compensating controls and closely monitor the application for signs of exploitation.

Workarounds

• Deploy a Web Application Firewall (WAF) configured with SQL injection detection and prevention rules in front of the Windesk.Fm application
• Implement network segmentation to isolate the database server from direct internet access
• Restrict application access to trusted IP addresses or VPN-connected users only
• Apply database hardening measures including disabling unnecessary stored procedures and limiting query execution permissions
• Consider deploying a reverse proxy with input validation capabilities to filter malicious requests before they reach the application

# Example WAF rule for SQL injection blocking (ModSecurity format)
SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Blocked',log,auditlog"
SecRule REQUEST_COOKIES "@detectSQLi" "id:1002,phase:2,deny,status:403,msg:'SQL Injection in Cookie Blocked',log,auditlog"
SecRule REQUEST_HEADERS "@detectSQLi" "id:1003,phase:2,deny,status:403,msg:'SQL Injection in Header Blocked',log,auditlog"