CVE-2020-36999 Overview
CVE-2020-36999 is a SQL Injection vulnerability in Elaniin CMS 1.0 that enables attackers to bypass authentication and gain unauthorized access to the administrative dashboard. The vulnerability exists in the login functionality where user-supplied email and password parameters are not properly sanitized before being used in SQL queries. By crafting malicious input containing SQL injection payloads such as '=''or', attackers can manipulate the authentication logic and gain access without valid credentials.
Critical Impact
Successful exploitation allows unauthenticated attackers to bypass login controls entirely and gain full administrative access to the CMS dashboard, potentially leading to data theft, website defacement, or further system compromise.
Affected Products
- Elaniin CMS 1.0
Discovery Timeline
- 2026-01-29 - CVE CVE-2020-36999 published to NVD
- 2026-01-29 - Last updated in NVD database
Technical Details for CVE-2020-36999
Vulnerability Analysis
This vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw resides in the login.php authentication mechanism of Elaniin CMS 1.0, where user-supplied input for email and password fields is concatenated directly into SQL queries without proper sanitization or parameterization.
When a user submits login credentials, the application constructs a SQL query to verify the credentials against the database. Due to the lack of input validation, an attacker can inject SQL syntax that alters the query's logical structure. The specific payload '=''or' exploits this weakness by manipulating the WHERE clause of the authentication query to always return true, effectively bypassing the credential verification entirely.
This network-accessible vulnerability requires no prior authentication or user interaction to exploit, making it particularly dangerous. A successful attack grants the attacker full access to the CMS administrative dashboard, from which they can modify content, access sensitive data, create backdoor accounts, or pivot to attack other systems.
Root Cause
The root cause of this vulnerability is the direct concatenation of user input into SQL queries without proper sanitization, escaping, or the use of parameterized queries (prepared statements). The login.php script fails to validate or sanitize the email and password parameters before incorporating them into the database query, allowing malicious SQL syntax to be interpreted as part of the query structure rather than as literal string data.
Attack Vector
The attack is conducted over the network and targets the login.php endpoint. An attacker sends a specially crafted HTTP POST request containing SQL injection payloads in the email and password parameters. The payload '=''or' is designed to bypass the authentication check by making the SQL WHERE clause evaluate to true regardless of the actual credentials stored in the database.
The attack requires no authentication, no special privileges, and no user interaction. Once the crafted request is submitted, the vulnerable application processes the malicious input, executes the modified SQL query, and grants the attacker access to the administrative dashboard as if they had provided valid credentials.
For detailed technical analysis and proof-of-concept information, refer to the Exploit-DB #48705 entry and the VulnCheck Authentication Bypass Advisory.
Detection Methods for CVE-2020-36999
Indicators of Compromise
- HTTP POST requests to login.php containing SQL injection patterns such as '=''or', ' OR '1'='1, or similar payloads in email or password fields
- Multiple failed login attempts followed by sudden successful authentication from the same source IP
- Web access logs showing unusual characters or SQL syntax in login-related parameters
- New administrator accounts created without corresponding legitimate administrative actions
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in authentication requests
- Implement log monitoring to alert on SQL syntax characters (', ", --, OR, =) in login parameter values
- Configure intrusion detection systems (IDS) with signatures for SQL injection attack patterns targeting authentication endpoints
- Enable database query logging to identify anomalous or malformed SQL statements originating from the web application
Monitoring Recommendations
- Monitor authentication logs for successful logins that bypass normal credential validation workflows
- Set up alerts for access to administrative functions from IP addresses that have not previously authenticated legitimately
- Review web server logs regularly for patterns consistent with automated SQL injection scanning tools
- Implement rate limiting on login endpoints to slow down automated exploitation attempts
How to Mitigate CVE-2020-36999
Immediate Actions Required
- Restrict access to the login.php endpoint using IP whitelisting or VPN requirements until a patch can be applied
- Deploy Web Application Firewall (WAF) rules to block SQL injection payloads targeting authentication parameters
- Disable or remove the Elaniin CMS installation if it is not critical to business operations
- Audit existing user accounts for any unauthorized additions or privilege modifications
Patch Information
At the time of publication, no official vendor patch has been identified for this vulnerability. Organizations should consult the Elaniin Security Overview and the GitHub CMS Repository for any updates or security advisories from the vendor. If no patch is available, consider migrating to a supported CMS platform with active security maintenance.
Workarounds
- Implement input validation and parameterized queries at the application level if source code modification is possible
- Place the CMS behind a reverse proxy with strict SQL injection filtering rules
- Limit network access to the administrative interface to trusted internal networks only
- Consider replacing Elaniin CMS 1.0 with a modern, actively maintained content management system
# Example: Block SQL injection patterns at the web server level (Apache mod_security)
# Add to your ModSecurity configuration
SecRule ARGS "@rx (\%27|\'|--|\%23|#)" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Blocked'"
SecRule ARGS "@rx ((\%3D)|(=))[^\n]*((\%27)|(\')|(\%2D)|(--))" "id:1002,phase:2,deny,status:403,msg:'SQL Injection Pattern Detected'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


