CVE-2026-5255 Overview
A Cross-Site Scripting (XSS) vulnerability has been identified in code-projects Simple Laundry System 1.0. The vulnerability exists in the /delstaffinfo.php file within the Parameter Handler component. By manipulating the userid argument, an attacker can inject malicious scripts that execute in the context of a victim's browser session. This vulnerability can be exploited remotely over the network, and the exploit has been publicly disclosed.
Critical Impact
Attackers can leverage this XSS vulnerability to steal session cookies, perform actions on behalf of authenticated users, redirect users to malicious websites, or deface the application interface. Organizations running Simple Laundry System 1.0 should take immediate action to mitigate this risk.
Affected Products
- code-projects Simple Laundry System 1.0
- /delstaffinfo.php Parameter Handler component
Discovery Timeline
- 2026-04-01 - CVE-2026-5255 published to NVD
- 2026-04-01 - Last updated in NVD database
Technical Details for CVE-2026-5255
Vulnerability Analysis
This Cross-Site Scripting vulnerability occurs due to improper input validation in the /delstaffinfo.php file of the Simple Laundry System application. The userid parameter is processed without adequate sanitization, allowing attackers to inject arbitrary JavaScript or HTML content that executes within the browser context of users who access the manipulated URL or form submission.
The vulnerability is classified under CWE-79 (Improper Neutralization of Input During Web Page Generation), which describes the failure to properly encode or escape user-controllable input before placing it in output used as a web page served to other users. This type of reflected XSS can be weaponized through phishing campaigns or social engineering attacks that trick users into clicking specially crafted links.
Root Cause
The root cause of this vulnerability is inadequate input sanitization in the Parameter Handler component. The application fails to properly validate, sanitize, or encode user-supplied data in the userid parameter before incorporating it into the HTTP response. This allows script tags and other HTML elements to be rendered and executed by the victim's browser rather than being treated as plain text.
Attack Vector
The attack vector is network-based, requiring user interaction to be successful. An attacker can craft a malicious URL containing XSS payload in the userid parameter and distribute it through phishing emails, social media, or other channels. When an unsuspecting user clicks the link and accesses the vulnerable endpoint, the malicious script executes in their browser with the same privileges as the legitimate application.
The vulnerability manifests when the userid parameter value is reflected back into the page without proper encoding. Attackers can inject script tags or event handlers that execute arbitrary JavaScript code. For detailed technical analysis and proof-of-concept information, refer to the VulDB Vulnerability #354445 and the GitHub Issue Discussion.
Detection Methods for CVE-2026-5255
Indicators of Compromise
- Unusual URL patterns containing script tags or encoded JavaScript in the userid parameter of requests to /delstaffinfo.php
- Web server logs showing suspicious GET or POST requests with XSS payloads targeting the vulnerable endpoint
- Reports from users experiencing unexpected behavior or redirects when accessing the application
- Browser security warnings or Content Security Policy (CSP) violations related to inline script execution
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common XSS patterns in URL parameters and form submissions
- Implement intrusion detection system (IDS) signatures that match XSS attack patterns in HTTP traffic
- Configure security monitoring tools to alert on requests containing encoded JavaScript or HTML tags in the userid parameter
- Enable verbose logging on the web server to capture full request URLs for forensic analysis
Monitoring Recommendations
- Monitor web application logs for repeated requests to /delstaffinfo.php with varying or suspicious userid values
- Set up alerts for any Content Security Policy violation reports that may indicate XSS exploitation attempts
- Track user session anomalies that could indicate session hijacking following successful XSS attacks
- Review browser error logs and client-side monitoring for unauthorized script execution
How to Mitigate CVE-2026-5255
Immediate Actions Required
- Restrict access to /delstaffinfo.php until a patch is available or implement virtual patching via WAF
- Deploy Web Application Firewall rules to filter XSS payloads in the userid parameter
- Implement Content Security Policy (CSP) headers to prevent inline script execution
- Educate users about the risks of clicking untrusted links that point to the vulnerable application
Patch Information
As of the last NVD update on 2026-04-01, no official vendor patch has been released for this vulnerability. Organizations should monitor the Code Projects Resource Hub for security updates. In the interim, apply the workarounds and mitigations outlined below to reduce exposure risk. For additional technical details, consult the VulDB Submission #780617.
Workarounds
- Implement server-side input validation to reject or sanitize the userid parameter before processing
- Apply output encoding (HTML entity encoding) when displaying user-supplied data in web pages
- Deploy a reverse proxy or WAF with XSS filtering capabilities in front of the application
- Implement strict Content Security Policy headers that disallow inline JavaScript execution
# Example WAF rule configuration for ModSecurity
SecRule ARGS:userid "@rx <script" "id:1001,deny,status:403,msg:'XSS attempt detected in userid parameter'"
SecRule ARGS:userid "@rx javascript:" "id:1002,deny,status:403,msg:'XSS attempt detected in userid parameter'"
# Example Content Security Policy header (add to web server config)
Header set Content-Security-Policy "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

