CVE-2026-4241: College Management System SQLi Vulnerability

CVE-2026-4241 Overview

A SQL Injection vulnerability was identified in itsourcecode College Management System 1.0. The impacted element is a function within the file /admin/time-table.php. Manipulation of the course_code argument leads to SQL injection, allowing attackers to execute arbitrary SQL queries against the backend database. The attack can be launched remotely, and exploit details are publicly available.

Critical Impact

This SQL injection vulnerability enables remote attackers to manipulate database queries through the course_code parameter, potentially leading to unauthorized data access, data modification, or complete database compromise.

Affected Products

• itsourcecode College Management System 1.0
• /admin/time-table.php endpoint

Discovery Timeline

• 2026-03-16 - CVE-2026-4241 published to NVD
• 2026-03-16 - Last updated in NVD database

Technical Details for CVE-2026-4241

Vulnerability Analysis

This SQL Injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) exists in the College Management System's administrative time-table management functionality. The vulnerability arises from improper handling of user-supplied input in the course_code parameter within /admin/time-table.php.

When processing requests to this endpoint, the application fails to properly sanitize or parameterize the course_code input before incorporating it into SQL queries. This allows attackers to inject malicious SQL statements that are executed by the database engine with the application's privileges.

The network-accessible nature of this vulnerability means that any attacker who can reach the administrative interface can attempt exploitation. While some level of authentication may be required to access the admin panel, the injection point itself lacks proper input validation.

Root Cause

The root cause of this vulnerability is improper input validation and the use of unsanitized user input in SQL queries. The application constructs database queries by directly concatenating user-supplied values from the course_code parameter without using prepared statements or parameterized queries. This classic SQL injection pattern allows attackers to break out of the intended query structure and inject arbitrary SQL commands.

Attack Vector

The attack is executed remotely over the network by sending crafted HTTP requests to the /admin/time-table.php endpoint. An attacker manipulates the course_code parameter to include SQL metacharacters and malicious query fragments. When the vulnerable code processes this input, the injected SQL is executed against the database.

Successful exploitation could allow attackers to:

• Extract sensitive data from the database (student records, credentials, grades)
• Modify or delete database records
• Bypass authentication mechanisms
• Potentially escalate to operating system command execution depending on database configuration

The vulnerability mechanism involves direct interpolation of the course_code parameter value into SQL query strings. Without proper escaping or parameterization, special characters like single quotes, semicolons, and SQL keywords are interpreted as part of the query structure rather than data values. Technical details and proof-of-concept information can be found in the GitHub Issue Tracker and VulDB #351183.

Detection Methods for CVE-2026-4241

Indicators of Compromise

• Unusual SQL error messages in web server logs referencing /admin/time-table.php
• HTTP requests to /admin/time-table.php containing SQL metacharacters (single quotes, semicolons, UNION, SELECT keywords) in the course_code parameter
• Database query logs showing unexpected or malformed queries originating from the time-table functionality
• Unexpected database modifications or data exfiltration patterns

Detection Strategies

• Deploy web application firewall (WAF) rules to detect SQL injection patterns in requests to /admin/time-table.php
• Monitor HTTP access logs for requests containing suspicious SQL syntax in query parameters
• Implement database activity monitoring to detect anomalous query patterns from the College Management System application
• Configure intrusion detection systems with signatures for common SQL injection payloads

Monitoring Recommendations

• Enable verbose logging for the College Management System application and associated database
• Set up alerts for HTTP 500 errors or database error messages related to the time-table functionality
• Monitor for unusual data access patterns or bulk data retrieval from the database
• Review authentication logs for any signs of authentication bypass attempts

How to Mitigate CVE-2026-4241

Immediate Actions Required

• Restrict network access to the administrative interface (/admin/) to trusted IP addresses only
• Implement a web application firewall with SQL injection detection rules in front of the application
• Review and audit all user input handling in the College Management System codebase
• Consider taking the vulnerable endpoint offline until a patch is available

Patch Information

No official vendor patch has been identified in the available CVE data. Administrators should monitor the IT Source Code Resource for updates. The vulnerability was documented through the VulDB Submission #771389. Organizations using this software should implement compensating controls until a patch becomes available.

Workarounds

• Implement input validation at the application layer to sanitize the course_code parameter, rejecting any input containing SQL metacharacters
• Deploy a reverse proxy or WAF configured to filter SQL injection attempts targeting the vulnerable endpoint
• Restrict database user privileges for the application to minimum required permissions (principle of least privilege)
• If source code access is available, modify the vulnerable query to use prepared statements with parameterized inputs

# Example WAF configuration to block SQL injection attempts (ModSecurity)
SecRule ARGS:course_code "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in course_code parameter',\
    logdata:'Matched Data: %{MATCHED_VAR}'"