CVE-2025-10426: Laundry Management System SQLi Vulnerability

CVE-2025-10426 Overview

A SQL injection vulnerability has been discovered in itsourcecode Online Laundry Management System version 1.0. The vulnerability exists in the /login.php file and can be exploited by manipulating the Username argument. This flaw allows remote attackers to inject malicious SQL queries through the login form, potentially enabling unauthorized access to the database, data exfiltration, or manipulation of stored records.

Critical Impact
Remote attackers can exploit this SQL injection vulnerability without authentication to compromise the underlying database, potentially leading to unauthorized data access, credential theft, and system compromise.

Affected Products

Campcodes Online Laundry Management System 1.0
itsourcecode Online Laundry Management System 1.0

Discovery Timeline

2025-09-15 - CVE-2025-10426 published to NVD
2025-09-18 - Last updated in NVD database

Technical Details for CVE-2025-10426

Vulnerability Analysis

This SQL injection vulnerability affects the authentication mechanism of the Online Laundry Management System. The vulnerability resides in the /login.php endpoint, where user-supplied input in the Username parameter is not properly sanitized before being incorporated into SQL queries. This allows attackers to craft malicious input that alters the intended SQL query logic.

The attack is network-accessible, requires no authentication, and has been publicly disclosed with exploit information available. Successful exploitation could result in unauthorized access to the database containing customer records, laundry orders, payment information, and administrative credentials.

Root Cause

The root cause of this vulnerability is improper input validation and the absence of parameterized queries (prepared statements) in the login functionality. The application directly concatenates user input into SQL queries without sanitization, allowing attackers to inject arbitrary SQL commands. This represents a classic CWE-89 (SQL Injection) vulnerability, with the broader classification of CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Attack Vector

The attack vector is network-based, allowing remote exploitation through the web application's login interface. An attacker can submit specially crafted input in the Username field of the login form at /login.php. By injecting SQL metacharacters and malicious query fragments, the attacker can bypass authentication, extract sensitive data, modify database records, or potentially execute administrative commands on the database server.

Common SQL injection techniques applicable to this vulnerability include authentication bypass using payloads like ' OR '1'='1 or admin'--, UNION-based attacks to extract data from other tables, and time-based blind SQL injection for data exfiltration when direct output is not visible. For detailed technical analysis, see the GitHub Issue Discussion containing the vulnerability disclosure.

Detection Methods for CVE-2025-10426

Indicators of Compromise

Unusual SQL error messages in web server logs originating from /login.php
Login attempts containing SQL metacharacters such as single quotes, double dashes, or UNION keywords
Multiple failed login attempts followed by successful authentication from the same IP address
Database queries with unexpected syntax or structure in database audit logs

Detection Strategies

Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in the Username parameter
Monitor authentication logs for anomalous patterns including multiple rapid login attempts or unusual username formats
Enable database query logging and alert on queries containing UNION, SELECT, or comment syntax from the application user
Deploy Intrusion Detection System (IDS) signatures for common SQL injection attack patterns

Monitoring Recommendations

Enable detailed logging for the /login.php endpoint and review logs regularly for suspicious input patterns
Implement rate limiting on the login endpoint to slow down automated SQL injection attacks
Configure database monitoring to detect unusual query patterns or unauthorized data access
Set up alerts for successful logins from IP addresses that previously triggered WAF or IDS alerts

How to Mitigate CVE-2025-10426

Immediate Actions Required

Restrict network access to the Online Laundry Management System to trusted IP addresses only
Implement a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
Consider taking the application offline until a proper fix can be implemented if it processes sensitive data
Review database logs for signs of prior exploitation and assess potential data exposure

Patch Information

No official vendor patch is currently available for this vulnerability. The application is distributed through IT Source Code Blog, and users should monitor for updates. Given the public disclosure of this vulnerability, immediate compensating controls are strongly recommended.

For additional technical details and vulnerability tracking, refer to the VulDB #323860 entry.

Workarounds

Implement prepared statements (parameterized queries) in the login functionality if you have access to modify the source code
Deploy a reverse proxy or WAF configured to filter SQL injection attempts targeting the Username parameter
Implement strict input validation that rejects special characters not needed for legitimate usernames
Apply the principle of least privilege to the database user account used by the application to limit potential damage from exploitation

bash

# Example WAF rule configuration (ModSecurity)
# Add SQL injection protection for the login endpoint
SecRule ARGS:Username "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection Attempt Detected in Username Parameter',\
    logdata:'Matched Data: %{MATCHED_VAR} found within %{MATCHED_VAR_NAME}'"