Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2026-37345

CVE-2026-37345: Vehicle Parking Management System SQLi

CVE-2026-37345 is a SQL injection vulnerability in SourceCodester Vehicle Parking Area Management System v1.0 affecting the manage_park.php file. This article covers technical details, affected versions, security impact, and mitigation.

Published:

CVE-2026-37345 Overview

SourceCodester Vehicle Parking Area Management System v1.0 contains a critical SQL Injection vulnerability in the file /parking/manage_park.php. This vulnerability allows remote attackers to execute arbitrary SQL commands against the backend database without authentication, potentially leading to complete database compromise, data theft, and unauthorized system access.

Critical Impact

Unauthenticated remote attackers can exploit this SQL Injection vulnerability to extract sensitive data, modify database contents, or potentially gain control of the underlying server through database-level attacks.

Affected Products

  • SourceCodester Vehicle Parking Area Management System v1.0
  • /parking/manage_park.php endpoint

Discovery Timeline

  • 2026-04-16 - CVE CVE-2026-37345 published to NVD
  • 2026-04-16 - Last updated in NVD database

Technical Details for CVE-2026-37345

Vulnerability Analysis

This SQL Injection vulnerability exists in the /parking/manage_park.php file of the Vehicle Parking Area Management System. The application fails to properly sanitize user-supplied input before incorporating it into SQL queries, allowing attackers to manipulate database operations. The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).

The attack can be executed remotely over the network without requiring any authentication or user interaction. Successful exploitation grants attackers the ability to read, modify, or delete data from the database, potentially compromising confidentiality, integrity, and availability of the entire system.

Root Cause

The root cause of this vulnerability is improper input validation and the lack of parameterized queries or prepared statements in the manage_park.php file. User-controlled input is directly concatenated into SQL queries without proper sanitization or escaping, enabling attackers to inject malicious SQL statements.

Attack Vector

The vulnerability is exploitable via network-based attacks targeting the /parking/manage_park.php endpoint. An attacker can craft malicious HTTP requests containing SQL injection payloads in vulnerable parameters. Since no authentication is required, any remote attacker can attempt exploitation.

Common SQL injection techniques applicable to this vulnerability include:

  • Union-based injection to extract data from other tables
  • Boolean-based blind injection to enumerate database contents
  • Time-based blind injection for data extraction when no direct output is visible
  • Stacked queries to execute multiple SQL statements (if supported by the database driver)

For detailed technical information about the exploitation technique, refer to the GitHub SQL Injection Report.

Detection Methods for CVE-2026-37345

Indicators of Compromise

  • Unusual or malformed HTTP requests to /parking/manage_park.php containing SQL syntax characters such as single quotes, double quotes, semicolons, or SQL keywords
  • Database error messages appearing in web server logs or HTTP responses
  • Unexpected database queries or query patterns in database logs
  • Evidence of data exfiltration or unauthorized database access in audit logs

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in requests to the parking management application
  • Enable verbose logging on the web server and database to capture suspicious query patterns
  • Implement intrusion detection signatures for common SQL injection payloads targeting PHP applications
  • Monitor for anomalous database query execution times that may indicate time-based blind SQL injection attempts

Monitoring Recommendations

  • Configure real-time alerting for requests containing SQL injection indicators targeting /parking/manage_park.php
  • Review database query logs for unauthorized SELECT, INSERT, UPDATE, or DELETE operations
  • Monitor for unusual outbound data transfers from the database server
  • Implement database activity monitoring to detect privilege escalation attempts or schema enumeration

How to Mitigate CVE-2026-37345

Immediate Actions Required

  • Restrict network access to the Vehicle Parking Area Management System to trusted IP addresses only
  • Place the application behind a Web Application Firewall with SQL injection protection enabled
  • If possible, take the affected /parking/manage_park.php endpoint offline until a patch is available
  • Review database permissions and ensure the application database user has minimal required privileges

Patch Information

No official patch information is currently available from the vendor. Organizations should monitor the GitHub SQL Injection Report and SourceCodester's official channels for updates.

Workarounds

  • Implement input validation at the web server level using ModSecurity or similar WAF solutions to filter SQL injection patterns
  • Apply database hardening by restricting the application's database user to only the minimum required permissions
  • Use network segmentation to isolate the parking management system from critical infrastructure
  • Consider implementing a reverse proxy with request filtering capabilities to sanitize incoming requests
bash
# Example ModSecurity rule to block SQL injection attempts
SecRule ARGS "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attack Detected',\
    log,\
    severity:CRITICAL"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.