CVE-2024-7449: Placement Management System SQLi Flaw

CVE-2024-7449 Overview

A critical SQL injection vulnerability has been discovered in the itsourcecode Placement Management System version 1.0. The vulnerability exists in the login.php file, where improper handling of the email parameter allows attackers to inject malicious SQL queries. This flaw enables unauthenticated remote attackers to bypass authentication mechanisms, extract sensitive data, and potentially gain unauthorized access to the underlying database.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract user credentials, and potentially compromise the entire database without requiring any prior authentication.

Affected Products

• Angeljudesuarez Placement Management System 1.0
• itsourcecode Placement Management System 1.0 (login.php)

Discovery Timeline

• 2024-08-04 - CVE-2024-7449 published to NVD
• 2024-08-20 - Last updated in NVD database

Technical Details for CVE-2024-7449

Vulnerability Analysis

This SQL injection vulnerability occurs due to insufficient input validation and sanitization of user-supplied data in the authentication mechanism. The login.php file accepts an email parameter that is directly concatenated into SQL queries without proper parameterization or escaping. This allows attackers to manipulate the query logic and execute arbitrary SQL commands against the backend database.

The vulnerability is network-exploitable, meaning attackers can launch attacks remotely without any prior authentication. The exploit has been publicly disclosed, increasing the risk of widespread exploitation against unpatched systems. According to VulDB, this vulnerability has been assigned identifier VDB-273540.

Root Cause

The root cause of CVE-2024-7449 is improper input validation (CWE-89: Improper Neutralization of Special Elements used in an SQL Command). The application fails to sanitize or parameterize the email input field before incorporating it into SQL queries. This classic SQL injection pattern allows attackers to break out of the intended query structure and inject malicious SQL statements that the database will execute with the same privileges as the application.

Attack Vector

The attack vector is network-based, requiring no authentication or user interaction. An attacker can craft malicious HTTP requests to the login.php endpoint with specially crafted email parameter values containing SQL injection payloads. Common attack techniques include:

Authentication Bypass: Attackers can inject payloads like ' OR '1'='1' -- to bypass login validation entirely.

Data Extraction: Using UNION-based or error-based injection techniques, attackers can extract sensitive data from the database including user credentials, personal information, and application data.

Database Manipulation: Depending on database permissions, attackers may be able to modify or delete records, or even execute system commands through database functionality like xp_cmdshell (MSSQL) or LOAD_FILE() (MySQL).

For detailed technical analysis and proof-of-concept information, see the GitHub CVE-11 Analysis and VulDB CTI Report #273540.

Detection Methods for CVE-2024-7449

Indicators of Compromise

• Unusual or malformed HTTP POST requests to login.php containing SQL metacharacters (single quotes, double dashes, semicolons) in the email parameter
• Database error messages exposed in HTTP responses indicating SQL syntax errors
• Multiple failed login attempts followed by successful authentication from the same IP address
• Abnormal database queries or query execution times in database logs

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in the email parameter
• Monitor web server access logs for suspicious requests targeting login.php with encoded or malformed email values
• Implement database activity monitoring to detect anomalous queries such as UNION SELECT statements or attempts to access system tables
• Configure intrusion detection systems (IDS) with signatures for SQL injection attack patterns

Monitoring Recommendations

• Enable verbose logging on the web server for all requests to authentication endpoints
• Configure database query logging to capture and analyze all SQL statements executed by the application
• Set up alerts for multiple authentication failures or unusual data extraction patterns
• Monitor for outbound connections from the database server that may indicate data exfiltration

How to Mitigate CVE-2024-7449

Immediate Actions Required

• Disable or restrict access to the affected login.php endpoint until a patch is applied
• Implement network-level access controls to limit who can reach the vulnerable application
• Review database logs for evidence of exploitation and assess potential data compromise
• Consider taking the Placement Management System offline if it contains sensitive data

Patch Information

No official vendor patch has been released at this time. Organizations using the Angeljudesuarez Placement Management System 1.0 should monitor the vendor's release channels for security updates. Additional vulnerability details are available at the VulDB #273540 advisory page.

In the absence of an official patch, organizations should consider implementing code-level fixes by modifying the login.php file to use prepared statements with parameterized queries for all database operations involving user input.

Workarounds

• Deploy a Web Application Firewall (WAF) with rules specifically designed to block SQL injection attempts in login forms
• Implement input validation at the application level to reject email addresses containing SQL metacharacters
• Use stored procedures with proper parameterization as an intermediary layer between the application and database
• Restrict database user permissions to minimize the impact of successful SQL injection attacks

# Example WAF rule to block SQL injection in email parameter (ModSecurity)
SecRule ARGS:email "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in email parameter',\
    log,\
    auditlog"