CVE-2024-0474 Overview
A critical SQL injection vulnerability has been identified in the Code-projects Dormitory Management System version 1.0. The vulnerability exists in the login.php file where improper sanitization of the username parameter allows attackers to inject malicious SQL queries. This flaw enables remote attackers to bypass authentication, extract sensitive data, or potentially compromise the entire database without requiring any privileges or user interaction.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, exfiltrate sensitive student and dormitory data, and potentially gain complete control over the database server.
Affected Products
- Code-projects Dormitory Management System 1.0
Discovery Timeline
- 2024-01-12 - CVE-2024-0474 published to NVD
- 2024-11-21 - Last updated in NVD database
Technical Details for CVE-2024-0474
Vulnerability Analysis
This vulnerability represents a classic SQL injection flaw in the authentication mechanism of a web-based dormitory management application. The login.php file accepts user-supplied input through the username parameter and directly incorporates it into SQL queries without proper sanitization or parameterized query implementation. This allows attackers to manipulate the query logic to bypass authentication entirely or extract data from the underlying database.
The vulnerability is particularly dangerous because it resides in the authentication endpoint, which is typically exposed to unauthenticated users. An attacker does not need any prior access or credentials to exploit this flaw. The attack can be executed remotely over the network, making it accessible to any attacker who can reach the application.
Root Cause
The root cause of CVE-2024-0474 is the failure to properly sanitize user input before incorporating it into SQL queries. The application constructs SQL statements by directly concatenating the username parameter value into the query string. This violates secure coding practices which mandate the use of parameterized queries or prepared statements to prevent SQL injection attacks.
The vulnerability falls under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), which describes scenarios where user-controllable input is not properly escaped before being included in SQL queries, allowing attackers to modify the intended query structure.
Attack Vector
The attack vector is network-based, allowing remote exploitation without authentication. An attacker can craft malicious input containing SQL metacharacters and inject them through the username field of the login form. Common attack patterns include:
The exploitation typically involves submitting specially crafted payloads through the username parameter that manipulate the SQL query logic. For authentication bypass, attackers might use payloads that always evaluate to true, effectively bypassing password validation. For data extraction, union-based or blind SQL injection techniques can be employed to enumerate database contents.
A proof-of-concept for this vulnerability has been publicly disclosed and is available through the GitHub PoC Repository. Additional technical details can be found in the VulDB advisory.
Detection Methods for CVE-2024-0474
Indicators of Compromise
- Unusual login attempts with SQL metacharacters (single quotes, double dashes, semicolons, OR/AND statements) in username fields
- Database error messages appearing in web server logs or application responses
- Unexpected database queries or access patterns in database audit logs
- Multiple failed authentication attempts followed by successful login from the same source
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP POST parameters
- Enable verbose logging on the web server and database server to capture suspicious query patterns
- Implement anomaly detection for authentication endpoints monitoring for unusual input patterns or response times
- Review access logs for requests to login.php containing encoded or obfuscated SQL injection payloads
Monitoring Recommendations
- Configure real-time alerting for SQL syntax errors in application and database logs
- Monitor for data exfiltration patterns such as unusually large query results or database dumps
- Track authentication success rates and alert on abnormal spikes in successful logins
- Implement database activity monitoring to detect unauthorized data access or schema enumeration
How to Mitigate CVE-2024-0474
Immediate Actions Required
- Take the Dormitory Management System offline or restrict access to trusted networks only until remediation is complete
- Implement input validation and sanitization for all user-supplied parameters, particularly the username field
- Deploy Web Application Firewall rules specifically targeting SQL injection patterns on the login endpoint
- Review database logs for evidence of prior exploitation and assess potential data exposure
Patch Information
As of the last NVD update on 2024-11-21, no official patch from the vendor has been documented. Organizations using Code-projects Dormitory Management System should consider implementing the workarounds below or migrating to a more actively maintained solution. Monitor the VulDB entry for any vendor updates.
Workarounds
- Modify the login.php source code to use parameterized queries (prepared statements) instead of string concatenation for SQL query construction
- Implement server-side input validation to reject usernames containing SQL metacharacters such as single quotes, semicolons, and comment indicators
- Restrict network access to the application using firewall rules to limit exposure to trusted IP ranges only
- Deploy a reverse proxy or WAF configured with strict SQL injection detection rules in front of the application
# Example: Apache ModSecurity rule to block SQL injection attempts on login.php
SecRule REQUEST_FILENAME "@contains login.php" \
"id:100001,phase:2,deny,status:403,\
chain"
SecRule ARGS:username "@detectSQLi" \
"msg:'SQL Injection Attempt Blocked on login.php'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


