CVE-2024-6268: School Management System SQLi Vulnerability

CVE-2024-6268 Overview

A SQL injection vulnerability has been identified in Lahirudanushka School Management System versions 1.0.0 and 1.0.1. The vulnerability exists in the login.php file of the Login Page component, where improper sanitization of the email argument allows attackers to inject malicious SQL queries. This flaw enables unauthorized access to backend databases, potentially leading to authentication bypass, data exfiltration, and compromise of sensitive student and administrative records.

Critical Impact

Unauthenticated attackers can exploit this SQL injection vulnerability remotely to bypass authentication controls and gain unauthorized access to the School Management System database containing sensitive educational records.

Affected Products

• Lahirudanushka School Management System 1.0.0
• Lahirudanushka School Management System 1.0.1

Discovery Timeline

• 2024-06-23 - CVE-2024-6268 published to NVD
• 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2024-6268

Vulnerability Analysis

This SQL injection vulnerability affects the authentication mechanism of the Lahirudanushka School Management System, a PHP/MySQL-based web application. The login.php file fails to properly validate and sanitize user-supplied input in the email parameter before incorporating it into SQL queries. This lack of input validation allows attackers to craft malicious input that alters the intended SQL query logic, potentially bypassing authentication entirely or extracting sensitive data from the database.

The vulnerability is particularly concerning in educational environments where the system stores sensitive information including student records, grades, and administrative credentials. Since the attack requires no authentication and can be executed remotely over the network, any publicly accessible deployment of this application is at immediate risk.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the login authentication logic. The email parameter from user input is directly concatenated into SQL query strings without proper sanitization or use of prepared statements. This classic SQL injection pattern (CWE-89) allows attackers to manipulate the query structure by injecting SQL syntax characters and commands.

Attack Vector

The attack vector is network-based, requiring no authentication or user interaction. An attacker can target the login.php endpoint by submitting a crafted HTTP POST request containing SQL injection payloads in the email field. Successful exploitation can lead to:

• Authentication Bypass: Attackers can manipulate the query to return valid authentication results without knowing legitimate credentials
• Data Extraction: Using techniques like UNION-based or time-based blind SQL injection, attackers can extract database contents
• Data Manipulation: Depending on database permissions, attackers may modify or delete records

The vulnerability exploit has been publicly disclosed, increasing the risk of active exploitation. Technical details are available in the GitHub Issue Report and the Notion SQL Injection Bypass documentation.

Detection Methods for CVE-2024-6268

Indicators of Compromise

• HTTP POST requests to login.php containing SQL metacharacters such as single quotes ('), double quotes ("), semicolons (;), or SQL keywords like UNION, SELECT, OR, AND in the email parameter
• Database error messages exposed in application responses indicating failed SQL query parsing
• Unusual database query patterns or failed login attempts with malformed email addresses
• Web server access logs showing suspicious payloads targeting the authentication endpoint

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests to login.php
• Implement application-level logging to capture and alert on authentication requests containing SQL injection indicators
• Configure database audit logging to monitor for anomalous query patterns or unauthorized data access attempts
• Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

• Enable real-time monitoring of authentication endpoints for SQL injection attack signatures
• Review web server access logs regularly for requests containing encoded or obfuscated SQL injection payloads
• Monitor database query logs for queries returning unexpected result sets or execution of administrative SQL commands
• Implement alerting for multiple failed authentication attempts with varying payload patterns

How to Mitigate CVE-2024-6268

Immediate Actions Required

• If the School Management System is publicly accessible, immediately restrict access using network controls or take the application offline until remediation is complete
• Review database and application logs for evidence of exploitation attempts or successful attacks
• If compromise is suspected, reset all user passwords and review database integrity
• Implement a Web Application Firewall (WAF) with SQL injection protection as an interim mitigation

Patch Information

At the time of publication, no official patch from the vendor has been identified. Organizations using this software should monitor the project's GitHub repository for updates. The vulnerability is tracked in VulDB #269480.

Workarounds

• Implement parameterized queries (prepared statements) in the login.php file to prevent SQL injection
• Apply input validation to reject email addresses containing SQL metacharacters or that do not match expected email format patterns
• Deploy a WAF configured with SQL injection rulesets to filter malicious requests before they reach the application
• Restrict database user permissions to minimum required privileges, limiting the impact of successful SQL injection

# Example: Apache mod_security rule to block SQL injection in email parameter
SecRule ARGS:email "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection Attempt Detected in Email Parameter',\
    log,\
    auditlog"