CVE-2024-10733: Restaurant Order System SQL Vulnerability

CVE-2024-10733 Overview

A critical SQL Injection vulnerability has been identified in code-projects Restaurant Order System 1.0. The vulnerability exists in the /login.php file where the uid parameter is not properly sanitized before being used in SQL queries. This allows remote attackers to inject malicious SQL commands that can bypass authentication, extract sensitive data, or manipulate the underlying database.

Critical Impact

Remote attackers can exploit this SQL Injection vulnerability to bypass authentication, access unauthorized data, or potentially compromise the entire database without requiring any credentials or user interaction.

Affected Products

• Carmelogarcia Restaurant Order System 1.0
• code-projects Restaurant Order System /login.php component

Discovery Timeline

• 2024-11-03 - CVE-2024-10733 published to NVD
• 2024-11-05 - Last updated in NVD database

Technical Details for CVE-2024-10733

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) affects the login functionality of the Restaurant Order System application. The vulnerability is network-exploitable, meaning attackers can launch attacks remotely without needing local access to the system. The exploit has been publicly disclosed, increasing the risk of opportunistic attacks against vulnerable installations.

The vulnerability allows an unauthenticated attacker to manipulate the uid parameter submitted to the /login.php endpoint. When user-supplied input is incorporated into SQL queries without proper sanitization or parameterized queries, attackers can inject arbitrary SQL commands that the database server will execute.

Root Cause

The root cause of this vulnerability is improper input validation and the lack of parameterized queries in the login authentication mechanism. The application directly concatenates user-supplied input from the uid parameter into SQL statements, creating a classic SQL Injection attack surface. This violates secure coding practices that mandate treating all user input as untrusted and using prepared statements with parameterized queries.

Attack Vector

The attack can be launched remotely over the network against the /login.php endpoint. An attacker would craft a malicious HTTP request containing SQL injection payloads in the uid parameter. Since no authentication or user interaction is required, this vulnerability is easily exploitable by anyone who can reach the application over the network.

Typical exploitation scenarios include:

• Authentication Bypass: Injecting SQL logic to always evaluate as true, bypassing password verification
• Data Exfiltration: Using UNION-based or blind SQL injection techniques to extract database contents
• Database Manipulation: Executing INSERT, UPDATE, or DELETE statements to modify data
• Privilege Escalation: Accessing or creating administrative accounts

For technical details on the exploitation mechanism, refer to the GitHub CVE Issue #1 and VulDB #282902.

Detection Methods for CVE-2024-10733

Indicators of Compromise

• Unusual or malformed requests to /login.php containing SQL syntax characters such as single quotes, double dashes, semicolons, or UNION keywords
• Database error messages appearing in application responses indicating failed SQL parsing
• Multiple rapid authentication attempts from a single source with varying uid parameter values
• Unexpected database queries appearing in database logs, particularly those with UNION SELECT or OR 1=1 patterns

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the uid parameter
• Implement input validation monitoring to alert on requests containing SQL metacharacters
• Enable detailed database query logging and monitor for anomalous query structures
• Configure intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

• Monitor HTTP access logs for requests to /login.php with suspicious query strings or POST data
• Set up alerts for database errors related to SQL syntax issues that may indicate injection attempts
• Track failed login attempts and correlate with potential SQL injection indicators
• Review database audit logs for unauthorized data access or extraction patterns

How to Mitigate CVE-2024-10733

Immediate Actions Required

• Restrict network access to the Restaurant Order System application to trusted networks only
• Implement a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
• Consider taking the application offline until a proper fix can be implemented if it processes sensitive data
• Review database access logs for any signs of past exploitation

Patch Information

As of the last NVD update on 2024-11-05, no official vendor patch has been released for this vulnerability. The affected software is Carmelogarcia Restaurant Order System version 1.0. Users should monitor Code Projects for any security updates. Given the critical nature of SQL injection vulnerabilities and the public availability of exploit information, implementing workarounds is strongly recommended until a patch becomes available.

Workarounds

• Implement input validation to reject any uid values containing SQL metacharacters such as quotes, semicolons, or comment sequences
• Modify the application code to use parameterized queries or prepared statements for all database interactions
• Deploy network-level access controls to limit who can reach the application
• Consider placing a reverse proxy with SQL injection filtering capabilities in front of the application

# Example WAF rule for ModSecurity to block SQL injection in uid parameter
SecRule ARGS:uid "@rx (?i)(\b(select|union|insert|update|delete|drop|exec|execute)\b|--|#|')" \
    "id:100001,phase:2,deny,status:403,msg:'SQL Injection attempt detected in uid parameter'"