CVE-2026-3133: Admerc Document Management System SQLi Flaw

CVE-2026-3133 Overview

A SQL injection vulnerability has been identified in itsourcecode Document Management System 1.0. This vulnerability affects the /loging.php file within the Login component, where improper handling of the Username argument allows attackers to inject malicious SQL commands. The vulnerability can be exploited remotely over the network without requiring authentication, and public exploit information has been disclosed.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data from the database, or potentially manipulate database contents through the vulnerable login form.

Affected Products

• Admerc Document Management System 1.0
• itsourcecode Document Management System 1.0

Discovery Timeline

• 2026-02-25 - CVE-2026-3133 published to NVD
• 2026-02-25 - Last updated in NVD database

Technical Details for CVE-2026-3133

Vulnerability Analysis

This vulnerability represents a classic SQL injection flaw (CWE-89) in a web-based document management system. The /loging.php endpoint fails to properly sanitize or parameterize the Username input field before incorporating it into SQL queries. This allows attackers to craft malicious input that modifies the intended SQL command structure.

The vulnerability is classified under both CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and CWE-89 (SQL Injection), indicating that user-controlled input flows directly into database queries without adequate validation or escaping.

Root Cause

The root cause is insufficient input validation and the use of unsanitized user input in SQL query construction. The application directly concatenates the Username parameter value into SQL statements rather than using parameterized queries or prepared statements. This coding practice allows special SQL characters and commands submitted through the login form to be interpreted as part of the database query logic.

Attack Vector

The attack vector is network-based, requiring no prior authentication or user interaction. An attacker can target the publicly accessible login page at /loging.php and submit specially crafted payloads through the Username field. Common SQL injection techniques such as authentication bypass (using payloads like ' OR '1'='1' --), UNION-based data extraction, or time-based blind injection can be employed depending on the underlying database configuration and application behavior.

The vulnerability enables potential data exfiltration, authentication bypass to gain unauthorized access, and in some configurations, could lead to further system compromise if database permissions allow extended operations.

Detection Methods for CVE-2026-3133

Indicators of Compromise

• Unusual login attempts with SQL syntax characters (single quotes, double dashes, semicolons) in the Username field
• Database error messages exposed in application responses indicating malformed SQL queries
• Abnormal database query patterns or unexpected data access in database logs
• Multiple failed authentication attempts followed by successful login without valid credentials

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in POST parameters targeting /loging.php
• Monitor web server access logs for requests containing SQL keywords (SELECT, UNION, OR, AND) in form submissions
• Enable database query logging and alert on queries containing injection signatures or unusual syntax
• Implement application-level logging to capture all authentication attempts with full parameter details

Monitoring Recommendations

• Configure real-time alerting for database errors related to syntax violations on login queries
• Monitor for data exfiltration patterns such as large result sets returned from authentication endpoints
• Track successful logins that bypass normal authentication flow characteristics
• Review audit logs for any database schema enumeration or information gathering queries

How to Mitigate CVE-2026-3133

Immediate Actions Required

• Implement input validation to whitelist acceptable characters in the Username field
• Deploy parameterized queries or prepared statements to prevent SQL injection
• Add a Web Application Firewall (WAF) with SQL injection detection rules as an interim protective measure
• Restrict database user permissions to minimum required privileges for the application

Patch Information

No official vendor patch has been identified at this time. System administrators should consult the GitHub CVE Issue Discussion and VulDB Entry #347616 for the latest vulnerability details and any available updates from the vendor.

For product information, refer to the IT Source Code Overview.

Workarounds

• Implement server-side input validation to reject any input containing SQL special characters or keywords
• Use prepared statements with parameterized queries if modifying application source code is possible
• Deploy a reverse proxy with ModSecurity or similar WAF configured with OWASP Core Rule Set
• Consider disabling or restricting access to the vulnerable endpoint until a proper fix is available
• Implement rate limiting on the login endpoint to slow down automated exploitation attempts

# Example Apache ModSecurity rule to block SQL injection attempts
SecRule ARGS:Username "@rx (?i)(select|union|insert|update|delete|drop|--|'|;)" \
    "id:100001,phase:2,deny,status:403,msg:'SQL Injection Attempt Blocked'"