CVE-2026-3151: College Management System SQLi Vulnerability

CVE-2026-3151 Overview

A SQL injection vulnerability has been identified in itsourcecode College Management System version 1.0. This vulnerability affects the /login/login.php file, where improper handling of the email parameter allows attackers to inject malicious SQL code. The vulnerability can be exploited remotely without authentication, potentially allowing unauthorized access to sensitive database information, data manipulation, or complete system compromise.

Critical Impact
Unauthenticated attackers can exploit this SQL injection flaw remotely to bypass authentication, extract sensitive student and faculty data, modify database records, or potentially gain unauthorized administrative access to the College Management System.

Affected Products

itsourcecode College Management System 1.0
angeljudesuarez college_management_system 1.0

Discovery Timeline

2026-02-25 - CVE-2026-3151 published to NVD
2026-02-25 - Last updated in NVD database

Technical Details for CVE-2026-3151

Vulnerability Analysis

This SQL injection vulnerability exists in the login authentication mechanism of the College Management System. The email parameter in /login/login.php is passed directly to a SQL query without proper sanitization or parameterized queries. This allows attackers to craft malicious input that alters the intended SQL logic, enabling them to bypass authentication controls, extract sensitive data from the database, or perform destructive operations.

The vulnerability is classified under both CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The attack surface is accessible over the network, requires no user interaction, and does not require any prior authentication or special privileges.

Root Cause

The root cause of this vulnerability is the lack of proper input validation and sanitization on the email parameter within the login functionality. The application directly concatenates user-supplied input into SQL queries instead of using prepared statements with parameterized queries. This classic SQL injection pattern allows attackers to manipulate the query structure by injecting SQL metacharacters and commands.

Attack Vector

The attack can be performed remotely over the network against any exposed instance of the College Management System. An attacker targets the /login/login.php endpoint by submitting a crafted HTTP request with a malicious payload in the email parameter. The injection allows the attacker to modify the SQL query executed by the backend database.

Common attack scenarios include:

Authentication bypass: Injecting SQL logic to return a valid result regardless of credentials
Data exfiltration: Using UNION-based or blind SQL injection techniques to extract database contents
Privilege escalation: Modifying user roles or creating administrative accounts
Data manipulation: Altering grades, student records, or financial information

The exploit for this vulnerability is publicly available, increasing the risk of active exploitation. Technical details can be found in the GitHub CVE Issue Discussion and VulDB #347659.

Detection Methods for CVE-2026-3151

Indicators of Compromise

Unusual or malformed requests to /login/login.php containing SQL metacharacters (single quotes, double dashes, semicolons, UNION keywords)
Failed login attempts followed by successful authentication without valid credentials
Database error messages in web server logs indicating SQL syntax errors
Unexpected database queries or data access patterns in database audit logs

Detection Strategies

Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in the email parameter
Implement intrusion detection system (IDS) signatures for SQL injection attack patterns targeting login endpoints
Enable verbose logging on the web server and database to capture suspicious query patterns
Monitor for anomalous authentication events, particularly successful logins from unusual locations or IP addresses

Monitoring Recommendations

Configure real-time alerting for any requests to /login/login.php containing SQL injection indicators
Establish baseline database query patterns and alert on deviations that may indicate injection attacks
Monitor for bulk data extraction patterns that could indicate successful exploitation
Review authentication logs for impossible travel or multiple concurrent sessions from different locations

How to Mitigate CVE-2026-3151

Immediate Actions Required

Restrict network access to the College Management System to trusted IP ranges or VPN-only access
Implement a Web Application Firewall with SQL injection protection rules in front of the application
Review and audit all recent login activity for signs of compromise or unauthorized access
Consider taking the application offline if sensitive data is at risk until a proper fix is implemented

Patch Information

No official vendor patch is currently available for this vulnerability. The application is distributed through IT Source Code Blog. Organizations using this software should contact the developer or implement the recommended workarounds until an official fix is released.

For detailed technical information about this vulnerability, refer to:

Workarounds

Implement input validation to reject email addresses containing SQL metacharacters before processing
Modify the /login/login.php code to use prepared statements with parameterized queries instead of string concatenation
Deploy a reverse proxy with ModSecurity or similar WAF capabilities to filter malicious requests
Restrict database user permissions to limit the impact of successful SQL injection attacks

bash

# Example: ModSecurity rule to block SQL injection in email parameter
SecRule ARGS:email "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in email parameter',\
    logdata:'Matched Data: %{MATCHED_VAR} found within %{MATCHED_VAR_NAME}'"