CVE-2024-0301: Fhs-opensource Iparking SQLi Vulnerability

CVE-2024-0301 Overview

A critical SQL injection vulnerability has been identified in fhs-opensource iparking version 1.5.22.RELEASE. This vulnerability exists in the getData function within the file src/main/java/com/xhb/pay/action/PayTempOrderAction.java. The flaw allows remote attackers to manipulate SQL queries through improper input sanitization, potentially leading to unauthorized database access, data exfiltration, and complete system compromise.

Critical Impact

This SQL injection vulnerability enables unauthenticated remote attackers to execute arbitrary SQL commands against the backend database, potentially exposing sensitive parking system data including payment records, user credentials, and vehicle information.

Affected Products

• fhs-opensource iparking version 1.5.22.RELEASE
• iparking parking management system components utilizing PayTempOrderAction.java

Discovery Timeline

• 2024-01-08 - CVE-2024-0301 published to NVD
• 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2024-0301

Vulnerability Analysis

This vulnerability is classified as CWE-89: SQL Injection. The vulnerable getData function in PayTempOrderAction.java fails to properly sanitize user-supplied input before incorporating it into SQL queries. This allows attackers to inject malicious SQL statements that are then executed by the database engine with the same privileges as the application's database user.

The iparking system is a parking management platform, and the affected component handles temporary payment order operations. Successful exploitation could allow attackers to bypass authentication mechanisms, access or modify payment records, extract sensitive customer and vehicle data, or potentially gain broader access to the underlying system.

Root Cause

The root cause of this vulnerability stems from improper input validation and the use of dynamic SQL query construction without parameterized queries or prepared statements. The getData function directly concatenates user input into SQL query strings, creating an injection point that attackers can exploit to manipulate database queries.

Attack Vector

The attack can be initiated remotely over the network without requiring authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting the vulnerable getData function in the PayTempOrderAction.java endpoint. The exploit has been publicly disclosed, increasing the risk of exploitation in the wild.

The vulnerability allows attackers to inject SQL commands through the payment order data retrieval functionality. By manipulating input parameters, an attacker can append additional SQL clauses such as UNION SELECT statements to extract data from other tables, or use time-based blind injection techniques to enumerate database contents when direct output is not available.

Detection Methods for CVE-2024-0301

Indicators of Compromise

• Unusual SQL error messages in application logs referencing PayTempOrderAction or getData function
• Web server access logs showing requests to payment-related endpoints with SQL keywords like UNION, SELECT, DROP, or encoded SQL metacharacters
• Database query logs containing unexpected or malformed SQL statements
• Anomalous database activity patterns, especially bulk data retrieval from payment or user tables

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting the iparking application
• Monitor application logs for SQL syntax errors or database exception messages that may indicate injection attempts
• Deploy database activity monitoring to identify queries containing suspicious patterns or accessing sensitive tables
• Configure intrusion detection systems with signatures for SQL injection attack patterns

Monitoring Recommendations

• Enable detailed logging for the PayTempOrderAction endpoint and associated database queries
• Set up alerts for multiple failed database queries or SQL syntax errors within short time periods
• Monitor for unusual data access patterns, particularly bulk reads from payment and user tables
• Implement real-time log analysis to correlate web requests with database activity anomalies

How to Mitigate CVE-2024-0301

Immediate Actions Required

• Restrict network access to the iparking application to trusted IP ranges only
• Implement Web Application Firewall rules to filter SQL injection payloads
• Review and audit database user privileges to ensure least-privilege access for the application
• Enable detailed logging and monitoring for the affected PayTempOrderAction endpoint
• Consider taking the affected endpoint offline until a patch can be applied

Patch Information

No official vendor patch information is currently available. Organizations using fhs-opensource iparking version 1.5.22.RELEASE should monitor the project repository for security updates. For detailed technical information about this vulnerability, refer to the GitHub SQL Injection Document or the VulDB advisory.

Workarounds

• Implement input validation to reject requests containing SQL metacharacters and keywords
• Deploy a reverse proxy or WAF with SQL injection filtering capabilities in front of the application
• Modify the vulnerable getData function to use parameterized queries or prepared statements if source code access is available
• Apply network segmentation to limit database access from untrusted network zones
• Consider implementing stored procedures with strict input validation for payment order operations

If source code modification is possible, the vulnerable dynamic SQL construction should be replaced with parameterized queries. For example, in Java applications, use PreparedStatement with parameter binding instead of string concatenation to prevent SQL injection attacks.