CVE-2020-36945 Overview
CVE-2020-36945 is a SQL injection vulnerability in the WebDamn User Registration Login System with User Panel. This vulnerability allows unauthenticated attackers to bypass login authentication by manipulating email credentials. The attack exploits improper input sanitization in the login form, enabling attackers to inject malicious SQL payloads in both the username and password fields to gain unauthorized access to user accounts and the administrative panel.
Critical Impact
Unauthenticated attackers can completely bypass authentication controls and gain unauthorized access to user accounts and administrative functions without valid credentials.
Affected Products
- WebDamn User Registration Login System with User Panel
- PHP/MySQL-based web applications implementing WebDamn's user management code
- Websites using vulnerable WebDamn authentication components
Discovery Timeline
- 2026-01-28 - CVE CVE-2020-36945 published to NVD
- 2026-01-29 - Last updated in NVD database
Technical Details for CVE-2020-36945
Vulnerability Analysis
This SQL injection vulnerability (CWE-89) exists in the authentication mechanism of the WebDamn User Registration Login System. The application fails to properly sanitize user-supplied input before incorporating it into SQL queries used for authentication. When a user submits login credentials, the application directly concatenates the email and password values into a SQL query without using parameterized queries or adequate input validation.
The vulnerability is classified as network-accessible, meaning attackers can exploit it remotely without any prior authentication. This makes it particularly dangerous as it serves as an entry point for further attacks against the web application and its underlying database.
Root Cause
The root cause of this vulnerability is the improper neutralization of special characters used in SQL commands. The login functionality constructs SQL queries by directly concatenating user input without sanitization or the use of prepared statements. This allows attackers to inject arbitrary SQL syntax that alters the intended query logic, effectively bypassing the authentication check entirely.
Attack Vector
The attack vector leverages the login form's email and password fields. An attacker can inject a classic SQL injection payload such as <email>' OR '1'='1 in both the username and password input fields. This payload manipulates the WHERE clause of the authentication query, causing it to return a true condition regardless of whether valid credentials were provided.
The exploitation is straightforward and requires no authentication, making it accessible to any attacker with network access to the vulnerable application. Successful exploitation grants immediate access to the user panel with the privileges of the first user returned by the modified query.
Detection Methods for CVE-2020-36945
Indicators of Compromise
- Unusual login patterns with malformed email addresses containing SQL syntax characters such as single quotes, OR operators, or comment sequences
- Web server logs showing authentication attempts with payloads like ' OR '1'='1 or similar SQL injection strings
- Multiple successful logins from the same IP address to different user accounts in rapid succession
- Database query logs revealing anomalous WHERE clauses with always-true conditions
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in authentication requests
- Monitor authentication logs for login attempts containing SQL metacharacters such as single quotes, double dashes, or boolean operators
- Deploy intrusion detection systems with signatures for SQL injection attack patterns targeting login forms
- Review application logs for successful authentications that lack corresponding valid credential validation
Monitoring Recommendations
- Enable detailed logging of all authentication attempts including full request parameters
- Configure alerts for multiple failed login attempts followed by sudden successful authentication
- Monitor database query performance for anomalies that may indicate SQL injection exploitation
- Implement real-time log analysis to detect SQL injection patterns in web traffic
How to Mitigate CVE-2020-36945
Immediate Actions Required
- Immediately audit all login forms and authentication mechanisms for SQL injection vulnerabilities
- Implement parameterized queries (prepared statements) for all database interactions involving user input
- Deploy a Web Application Firewall with SQL injection protection rules in blocking mode
- Consider temporarily disabling the vulnerable authentication system until proper remediation is complete
Patch Information
There is no official vendor patch currently available for this vulnerability. The WebDamn User Registration Login System code available from Webdamn's website should be considered vulnerable. Organizations using this code must implement manual remediation by rewriting the authentication queries to use prepared statements with bound parameters.
For detailed technical information about the vulnerability, refer to the VulnCheck Webdamn SQLi Advisory and the Exploit-DB #49170 entry.
Workarounds
- Replace all string concatenation in SQL queries with parameterized queries using PDO or MySQLi prepared statements
- Implement strict input validation that rejects email inputs containing SQL metacharacters
- Add server-side input sanitization using functions like mysqli_real_escape_string() as a temporary measure while implementing prepared statements
- Deploy additional authentication factors to reduce the impact of authentication bypass
# Configuration example - PHP PDO prepared statement pattern
# Replace vulnerable code with prepared statements:
# $stmt = $pdo->prepare('SELECT * FROM users WHERE email = ? AND password = ?');
# $stmt->execute([$email, $hashedPassword]);
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

