CVE-2026-5824 Overview
A SQL injection vulnerability has been identified in code-projects Simple Laundry System version 1.0. The vulnerability exists in the /userchecklogin.php file, where the userid parameter is not properly sanitized before being used in SQL queries. This allows remote attackers to manipulate database queries through specially crafted input, potentially leading to unauthorized data access, data modification, or complete database compromise.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive user data, modify database records, or potentially gain full control of the underlying database server without requiring any authentication.
Affected Products
- code-projects Simple Laundry System 1.0
- /userchecklogin.php endpoint
Discovery Timeline
- April 9, 2026 - CVE-2026-5824 published to NVD
- April 9, 2026 - Last updated in NVD database
Technical Details for CVE-2026-5824
Vulnerability Analysis
This vulnerability is classified as a SQL Injection flaw (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component), affecting the user authentication mechanism in the Simple Laundry System. The application fails to properly validate and sanitize user-supplied input in the userid parameter before incorporating it into SQL queries executed against the backend database.
The flaw can be exploited remotely without authentication, as it affects the login verification endpoint. An attacker can inject malicious SQL syntax through the userid parameter to alter the intended query logic, potentially bypassing authentication checks or extracting data from the database. The exploit has been publicly disclosed, increasing the risk of active exploitation in the wild.
Root Cause
The root cause of this vulnerability is the absence of proper input validation and parameterized queries in the /userchecklogin.php file. The application directly concatenates user-supplied input from the userid parameter into SQL query strings without sanitization or the use of prepared statements. This allows special SQL characters and commands to be interpreted by the database engine rather than being treated as literal data values.
Attack Vector
The attack vector is network-based, allowing remote exploitation without user interaction or authentication. An attacker can craft malicious HTTP requests to the /userchecklogin.php endpoint containing SQL injection payloads in the userid parameter.
The exploitation technique involves injecting SQL metacharacters such as single quotes, semicolons, or SQL keywords (UNION, SELECT, OR) into the userid field. These injected elements modify the query structure, enabling actions such as:
- Authentication bypass using payloads like ' OR '1'='1
- Data extraction via UNION-based injection techniques
- Database enumeration to discover table structures and sensitive data
- Potential command execution if database permissions allow
For detailed technical information about this vulnerability, see the GitHub Issue Discussion and VulDB Vulnerability #356271.
Detection Methods for CVE-2026-5824
Indicators of Compromise
- Unusual login attempts with SQL metacharacters (single quotes, double dashes, semicolons) in the userid parameter
- Web server logs showing requests to /userchecklogin.php with encoded or plaintext SQL keywords
- Database logs indicating malformed queries, syntax errors, or unexpected query patterns
- Evidence of unauthorized database access or unexplained data exfiltration
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP requests
- Implement application-level logging to capture and alert on suspicious userid parameter values containing SQL syntax
- Monitor database query logs for anomalous patterns, failed queries, or unauthorized SELECT/UNION statements
- Use intrusion detection systems (IDS) with signatures targeting SQL injection attack patterns
Monitoring Recommendations
- Configure real-time alerting for HTTP requests containing SQL injection signatures targeting /userchecklogin.php
- Establish baseline metrics for normal database query patterns and alert on deviations
- Review authentication logs for patterns indicating bypass attempts or unusual access patterns
- Implement database activity monitoring to track and alert on suspicious query execution
How to Mitigate CVE-2026-5824
Immediate Actions Required
- Restrict access to the /userchecklogin.php endpoint using network-level controls or firewall rules until a patch is applied
- Deploy WAF rules to filter SQL injection payloads targeting the vulnerable parameter
- Review application logs and database logs for signs of prior exploitation attempts
- Consider temporarily disabling the affected authentication functionality if alternative authentication methods are available
Patch Information
At the time of publication, no official vendor patch has been released for this vulnerability. Organizations using code-projects Simple Laundry System 1.0 should monitor the Code Projects website for security updates. Given the public disclosure of this vulnerability, implementing workarounds and compensating controls is strongly recommended while awaiting an official fix.
Additional technical information can be found at VulDB Submission #788302.
Workarounds
- Implement input validation to sanitize the userid parameter, rejecting any input containing SQL metacharacters or keywords
- Modify the application code to use parameterized queries (prepared statements) instead of string concatenation for SQL query construction
- Deploy a Web Application Firewall configured to block SQL injection patterns at the network perimeter
- Restrict database user permissions to the minimum required, limiting the impact of successful SQL injection
- Implement network segmentation to isolate the database server from direct internet access
# Example Apache mod_security rule to block SQL injection attempts
SecRule ARGS:userid "@detectSQLi" \
"id:1001,\
phase:2,\
deny,\
status:403,\
msg:'SQL Injection attempt blocked in userid parameter',\
logdata:'Matched Data: %{MATCHED_VAR}',\
severity:CRITICAL"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

