CVE-2026-5555 Overview
A SQL injection vulnerability has been identified in code-projects Concert Ticket Reservation System 1.0. This security flaw affects the /ConcertTicketReservationSystem-master/login.php file within the Parameter Handler component. By manipulating the Email argument, an attacker can inject malicious SQL commands. The attack can be executed remotely over the network without authentication, and proof-of-concept exploit code has been publicly disclosed.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data from the database, modify or delete records, and potentially gain unauthorized access to the underlying system.
Affected Products
- code-projects Concert Ticket Reservation System 1.0
- Login component (/ConcertTicketReservationSystem-master/login.php)
- Parameter Handler (Email argument)
Discovery Timeline
- April 5, 2026 - CVE-2026-5555 published to NVD
- April 7, 2026 - Last updated in NVD database
Technical Details for CVE-2026-5555
Vulnerability Analysis
This vulnerability stems from improper input validation in the login authentication mechanism of the Concert Ticket Reservation System. The login.php file fails to properly sanitize user-supplied input in the Email parameter before incorporating it into SQL queries. This classic SQL injection flaw (CWE-74: Injection) allows attackers to manipulate database queries by inserting malicious SQL syntax through the email input field.
The vulnerability is network-exploitable, requiring no prior authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads in the Email parameter to execute arbitrary database commands. The publicly available exploit increases the risk of widespread exploitation against vulnerable installations.
Root Cause
The root cause of CVE-2026-5555 is the lack of proper input sanitization and parameterized queries in the login.php authentication logic. The application directly concatenates user input from the Email field into SQL statements without escaping special characters or using prepared statements. This allows attackers to break out of the intended query structure and inject their own SQL commands.
Attack Vector
The attack vector is network-based, allowing remote exploitation. An attacker targets the login form by submitting a crafted Email parameter containing SQL injection syntax. Common attack payloads include authentication bypass sequences that manipulate the WHERE clause logic, UNION-based injection to extract data from other tables, and time-based blind injection techniques to enumerate database contents.
The exploitation requires sending a malicious HTTP POST request to the login.php endpoint with the specially crafted Email parameter. No authentication or special privileges are required, making this vulnerability accessible to any remote attacker who can reach the web application. Technical details and exploitation methodology can be found in the GitHub Issue Tracker and VulDB Vulnerability #355325.
Detection Methods for CVE-2026-5555
Indicators of Compromise
- Unusual SQL syntax patterns in web server access logs targeting login.php
- HTTP requests containing SQL keywords (UNION, SELECT, OR, AND, --, #) in the Email parameter
- Failed login attempts followed by successful authentication without valid credentials
- Database error messages exposed in application responses
- Unexpected database queries or data extraction patterns in database logs
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect SQL injection patterns in form submissions
- Configure intrusion detection systems (IDS) with signatures for common SQL injection payloads
- Implement application-level logging to capture all authentication attempts and parameter values
- Monitor database query logs for anomalous statement patterns or syntax errors
Monitoring Recommendations
- Enable detailed access logging for the login.php endpoint and review for suspicious activity
- Set up alerts for repeated authentication failures followed by successful logins
- Monitor database performance metrics for unusual query execution patterns
- Implement real-time log analysis to detect SQL injection attempt patterns
How to Mitigate CVE-2026-5555
Immediate Actions Required
- Take the Concert Ticket Reservation System offline if internet-facing until patched
- Implement WAF rules to block SQL injection attempts targeting the Email parameter
- Review database logs for signs of prior exploitation or data exfiltration
- Restrict network access to the application to trusted IP ranges if possible
- Audit database accounts and revoke unnecessary privileges from the web application user
Patch Information
No official patch is currently available from the vendor. Organizations using the Concert Ticket Reservation System should contact Code Projects for remediation guidance. In the absence of an official fix, implementing the code-level mitigations below is strongly recommended.
For additional vulnerability intelligence and updates, refer to VulDB Submission #782875 and VulDB Threat Intelligence #355325.
Workarounds
- Implement input validation to reject Email values containing SQL metacharacters and syntax
- Modify login.php to use prepared statements with parameterized queries instead of string concatenation
- Deploy a reverse proxy with SQL injection filtering capabilities in front of the application
- Apply the principle of least privilege to database accounts used by the web application
- Consider replacing the vulnerable application with a more secure ticketing solution
# Example: Add ModSecurity WAF rules to block SQL injection in Email parameter
# Add to Apache configuration or .htaccess
SecRule ARGS:Email "@detectSQLi" \
"id:100001,phase:2,deny,status:403,log,msg:'SQL Injection attempt blocked in Email parameter'"
# Alternative: Block common SQL injection patterns
SecRule ARGS:Email "(union|select|insert|update|delete|drop|--|;|')" \
"id:100002,phase:2,deny,status:403,log,msg:'Potential SQLi in Email field'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

