CVE-2024-2282 Overview
A critical SQL injection vulnerability has been discovered in boyiddha Automated-Mess-Management-System version 1.0. This issue affects the login functionality within the /index.php file, specifically through the manipulation of the useremail parameter. The vulnerability allows remote attackers to inject malicious SQL queries, potentially leading to complete database compromise, unauthorized access, and data exfiltration.
Critical Impact
This SQL injection vulnerability in the login page allows unauthenticated remote attackers to bypass authentication, access sensitive data, and potentially execute arbitrary commands on the underlying database server.
Affected Products
- boyiddha Automated-Mess-Management-System version 1.0
Discovery Timeline
- 2024-03-08 - CVE-2024-2282 published to NVD
- 2025-03-12 - Last updated in NVD database
Technical Details for CVE-2024-2282
Vulnerability Analysis
This SQL injection vulnerability exists in the login component of the Automated-Mess-Management-System. The application fails to properly sanitize user-supplied input in the useremail parameter before incorporating it into SQL queries. This classic authentication bypass scenario allows attackers to manipulate the query logic, potentially gaining administrative access without valid credentials.
The vulnerability is particularly dangerous because it exists in the authentication mechanism, which is the first line of defense for the application. Successful exploitation could allow attackers to dump the entire database contents, modify or delete data, or in some configurations, execute operating system commands through the database server.
The vendor was contacted about this vulnerability but did not respond, leaving users without an official patch. A proof-of-concept exploit has been publicly disclosed, increasing the risk of exploitation in the wild.
Root Cause
The root cause of this vulnerability is the lack of input validation and parameterized queries in the login page's database interaction layer. The useremail parameter is directly concatenated into the SQL query string without proper sanitization or the use of prepared statements. This allows special SQL characters and commands to be interpreted as part of the query structure rather than as literal input data.
Attack Vector
The attack can be initiated remotely over the network without requiring any authentication or user interaction. An attacker can submit specially crafted input to the useremail field on the login page at /index.php. By injecting SQL syntax such as boolean-based, time-based, or UNION-based payloads, the attacker can manipulate the authentication logic to return true regardless of the actual credentials, enumerate database tables and columns, or extract sensitive information.
The exploitation process typically involves submitting a malicious payload like ' OR '1'='1' -- in the email field, which modifies the WHERE clause of the authentication query to always evaluate as true, effectively bypassing the password check entirely. More sophisticated attacks could extract password hashes, personal information, or other sensitive data stored in the database.
Detection Methods for CVE-2024-2282
Indicators of Compromise
- Unusual SQL error messages appearing in application logs or responses
- Multiple failed login attempts followed by successful authentication from the same IP
- Database query logs showing suspicious patterns with SQL keywords in the useremail parameter
- Unexpected database queries containing UNION SELECT, OR '1'='1', or comment sequences (--)
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns
- Monitor authentication logs for anomalous login success patterns, especially from unfamiliar IP addresses
- Deploy database activity monitoring to alert on unusual query patterns or bulk data retrieval
- Review access logs for requests to /index.php containing encoded or suspicious characters in POST data
Monitoring Recommendations
- Enable detailed logging for all authentication attempts including the source IP and user input patterns
- Set up alerts for database errors related to SQL syntax that may indicate injection attempts
- Monitor for data exfiltration indicators such as large query result sets or unusual outbound traffic
- Implement real-time analysis of HTTP POST requests to the login endpoint for injection signatures
How to Mitigate CVE-2024-2282
Immediate Actions Required
- Restrict network access to the application to trusted IP addresses only using firewall rules
- Implement a Web Application Firewall with SQL injection protection rules in front of the application
- Disable the application entirely if it contains sensitive data and cannot be adequately protected
- Audit database access logs for evidence of prior exploitation attempts
Patch Information
No official vendor patch is available for this vulnerability. The vendor was contacted about the disclosure but did not respond. Users should consider the application as unsupported and evaluate alternative solutions. For additional technical details and the publicly available proof-of-concept, refer to the GitHub SQL Injection PoC and VulDB #256049.
Workarounds
- Deploy a reverse proxy or WAF that can filter SQL injection payloads before they reach the application
- Modify the application source code to implement prepared statements and parameterized queries if possible
- Add server-side input validation to reject email addresses containing SQL metacharacters
- Isolate the database server on a separate network segment with restricted access permissions
- Consider migrating to a maintained and secure mess management solution
# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:useremail "@detectSQLi" "id:100001,phase:2,deny,status:403,log,msg:'SQL Injection Attempt Detected in useremail parameter'"
# Restrict access to the login page by IP (Apache example)
<Location /index.php>
Require ip 192.168.1.0/24
</Location>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

