CVE-2024-8218: Online Quiz Site SQL Injection Vulnerability

CVE-2024-8218 Overview

A critical SQL injection vulnerability has been identified in Fabian Online Quiz Site version 1.0. This issue affects the processing of the file index.php, where manipulation of the loginid argument leads to SQL injection. The vulnerability can be exploited remotely without authentication, potentially allowing attackers to bypass authentication mechanisms, extract sensitive data from the database, or modify database contents.

Critical Impact

Unauthenticated remote attackers can exploit this SQL injection vulnerability to compromise the underlying database, potentially leading to data theft, unauthorized access, and system compromise.

Affected Products

• Fabian Online Quiz Site 1.0
• Applications using the vulnerable index.php login functionality
• Systems with direct network exposure to the vulnerable web application

Discovery Timeline

• 2024-08-27 - CVE-2024-8218 published to NVD
• 2025-10-23 - Last updated in NVD database

Technical Details for CVE-2024-8218

Vulnerability Analysis

This SQL injection vulnerability exists in the authentication mechanism of the Online Quiz Site application. The loginid parameter in index.php fails to properly sanitize user-supplied input before incorporating it into SQL queries. This allows an attacker to inject malicious SQL statements that are executed by the database server.

The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), which represents one of the most common and dangerous web application security flaws. Since the vulnerable endpoint handles authentication, successful exploitation could allow attackers to bypass login controls entirely or extract credentials from the database.

Root Cause

The root cause of this vulnerability is improper input validation and the absence of parameterized queries or prepared statements in the authentication logic. When user input from the loginid parameter is directly concatenated into SQL queries without sanitization, the application becomes susceptible to injection attacks. This represents a fundamental secure coding failure where untrusted user input is treated as trusted SQL code.

Attack Vector

The attack can be initiated remotely over the network without requiring any authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads in the loginid parameter. The vulnerable application will process these requests and execute the injected SQL commands against the backend database.

Typical attack scenarios include:

• Authentication bypass using classic SQL injection techniques such as ' OR '1'='1 payloads
• Data exfiltration through UNION-based or blind SQL injection
• Database enumeration to discover table structures and sensitive information
• Potential privilege escalation if the database user has elevated permissions

The exploit has been publicly disclosed, increasing the risk of active exploitation. For technical details regarding the vulnerability mechanism, refer to the GitHub CVE Issue Discussion.

Detection Methods for CVE-2024-8218

Indicators of Compromise

• Anomalous SQL syntax or special characters in web server access logs for index.php
• Unusual database query patterns or errors in application logs
• Authentication attempts with payloads containing SQL metacharacters such as single quotes, double dashes, or UNION keywords
• Unexpected database access patterns or queries from the web application

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the loginid parameter
• Implement intrusion detection signatures for common SQL injection attack strings targeting authentication endpoints
• Monitor database audit logs for unusual queries originating from the web application context
• Enable verbose logging on the web server to capture request parameters for forensic analysis

Monitoring Recommendations

• Configure real-time alerting for SQL error messages in application logs that may indicate injection attempts
• Establish baseline database query patterns and alert on deviations
• Monitor for failed authentication attempts with unusual parameter values
• Implement log correlation between web server, application, and database layers to identify attack chains

How to Mitigate CVE-2024-8218

Immediate Actions Required

• Restrict network access to the vulnerable application until a patch can be applied
• Implement input validation and output encoding on all user-supplied parameters
• Deploy WAF rules specifically targeting SQL injection attacks on the loginid parameter
• Review database permissions to ensure the application uses a least-privilege database account
• Monitor for signs of compromise and conduct a security audit of the affected system

Patch Information

No official vendor patch information is currently available for this vulnerability. Organizations using Fabian Online Quiz Site 1.0 should contact the vendor or consider implementing manual code fixes to address the SQL injection vulnerability. The VulDB entry provides additional tracking information for this vulnerability.

Workarounds

• Implement parameterized queries or prepared statements in the index.php authentication logic
• Deploy a reverse proxy or WAF with SQL injection protection rules in front of the application
• Add server-side input validation to reject login IDs containing SQL metacharacters
• Consider taking the application offline until the vulnerability can be properly remediated

# Example WAF rule to block SQL injection attempts (ModSecurity)
SecRule ARGS:loginid "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attempt Detected in loginid parameter',\
    logdata:'Matched Data: %{MATCHED_VAR} found within %{MATCHED_VAR_NAME}',\
    severity:'CRITICAL'"