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CVE Vulnerability Database

CVE-2026-4908: Simple Laundry System SQLi Vulnerability

CVE-2026-4908 is a SQL injection flaw in Simple Laundry System 1.0 affecting the modstaffinfo.php file. Attackers can exploit the userid parameter remotely. This article covers technical details, impact, and mitigation.

Published:

CVE-2026-4908 Overview

A SQL injection vulnerability has been discovered in code-projects Simple Laundry System 1.0. This security flaw affects the /modstaffinfo.php file within the Parameter Handler component. The manipulation of the userid argument allows for SQL injection attacks. This vulnerability can be exploited remotely over the network, and exploit code has been publicly disclosed, increasing the risk of active exploitation.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise.

Affected Products

  • code-projects Simple Laundry System 1.0
  • Parameter Handler component (/modstaffinfo.php)
  • Systems with vulnerable userid parameter handling

Discovery Timeline

  • 2026-03-27 - CVE-2026-4908 published to NVD
  • 2026-03-30 - Last updated in NVD database

Technical Details for CVE-2026-4908

Vulnerability Analysis

This SQL injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) exists in the Simple Laundry System's staff information modification functionality. The vulnerable endpoint /modstaffinfo.php fails to properly sanitize user-supplied input through the userid parameter before incorporating it into SQL queries.

The attack requires no authentication and can be executed remotely over the network with low complexity. An attacker can craft malicious SQL statements within the userid parameter to manipulate backend database queries. This could result in unauthorized access to sensitive data, modification of database records, or extraction of confidential information stored in the laundry management system's database.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the /modstaffinfo.php file. The application directly concatenates user-supplied input from the userid parameter into SQL statements without proper sanitization or the use of prepared statements. This allows attackers to inject arbitrary SQL syntax that gets executed by the database engine.

Attack Vector

The vulnerability is exploitable via network-based attacks targeting the Parameter Handler component. An attacker can send specially crafted HTTP requests to the /modstaffinfo.php endpoint with malicious SQL code embedded in the userid parameter. Since the exploit has been publicly released, attackers can leverage existing proof-of-concept code to target vulnerable installations.

The attack flow involves:

  1. Identifying a vulnerable Simple Laundry System installation
  2. Crafting a malicious request to /modstaffinfo.php with SQL injection payload in the userid parameter
  3. The backend database executes the injected SQL, allowing data extraction or manipulation

Technical details and proof-of-concept information can be found in the GitHub Issue for CVE-Niuzzz and the VulDB CTI Report #353659.

Detection Methods for CVE-2026-4908

Indicators of Compromise

  • Unusual or malformed requests to /modstaffinfo.php containing SQL syntax characters (single quotes, double dashes, UNION statements, etc.)
  • Database errors or anomalies in application logs related to staff information queries
  • Unexpected data access patterns or bulk data retrieval from the database
  • Web server logs showing repeated requests to /modstaffinfo.php with varying userid parameter values

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in requests to /modstaffinfo.php
  • Monitor application logs for SQL error messages that may indicate injection attempts
  • Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
  • Review database query logs for suspicious or malformed queries involving staff information tables

Monitoring Recommendations

  • Enable detailed logging for all requests to the /modstaffinfo.php endpoint
  • Configure alerts for failed SQL query patterns or database exceptions
  • Monitor for unusual database read/write operations, especially involving user credentials or sensitive staff information
  • Implement real-time monitoring of web application traffic for injection attack patterns

How to Mitigate CVE-2026-4908

Immediate Actions Required

  • Restrict network access to the Simple Laundry System to trusted IP addresses only
  • Implement WAF rules to filter malicious input targeting the userid parameter
  • Consider temporarily disabling the /modstaffinfo.php functionality until a patch is applied
  • Review and audit database access logs for signs of previous exploitation
  • Ensure database accounts used by the application follow the principle of least privilege

Patch Information

No official vendor patch information is currently available for this vulnerability. Organizations using code-projects Simple Laundry System 1.0 should monitor the Code Projects website for security updates. Additional vulnerability details are available through VulDB #353659.

Workarounds

  • Implement prepared statements or parameterized queries in the /modstaffinfo.php file to prevent SQL injection
  • Deploy a Web Application Firewall (WAF) to filter malicious requests before they reach the application
  • Apply input validation and sanitization on the userid parameter, allowing only expected data formats
  • Restrict database user permissions to minimum required privileges for application functionality
  • Consider network segmentation to limit exposure of the vulnerable application
bash
# Example WAF rule to block SQL injection attempts (ModSecurity)
SecRule ARGS:userid "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection attempt detected in userid parameter',\
    log,\
    severity:'CRITICAL'"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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