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CVE Vulnerability Database
Vulnerability Database/CVE-2026-2150

CVE-2026-2150: Pamzey Queue Management System XSS Flaw

CVE-2026-2150 is a cross-site scripting vulnerability in Pamzey Patients Waiting Area Queue Management System affecting the checkin.php file. This article covers the technical details, affected versions, and steps to mitigate.

Published: February 13, 2026

CVE-2026-2150 Overview

A Cross-Site Scripting (XSS) vulnerability has been identified in SourceCodester/Patrick Mvuma Patients Waiting Area Queue Management System version 1.0. This security flaw affects the /checkin.php file, where improper handling of the patient_id parameter allows attackers to inject malicious scripts that execute in victims' browsers.

Critical Impact

Attackers can remotely exploit this XSS vulnerability to execute arbitrary JavaScript in the context of authenticated users, potentially leading to session hijacking, credential theft, or unauthorized actions within the healthcare queue management system.

Affected Products

  • Pamzey Patients Waiting Area Queue Management System 1.0

Discovery Timeline

  • February 8, 2026 - CVE-2026-2150 published to NVD
  • February 10, 2026 - Last updated in NVD database

Technical Details for CVE-2026-2150

Vulnerability Analysis

This vulnerability stems from insufficient input validation and output encoding in the patient check-in functionality. The /checkin.php endpoint fails to properly sanitize user-supplied data in the patient_id parameter before reflecting it back in the page response. This allows attackers to craft malicious URLs containing JavaScript payloads that execute when victims click on them or when the page renders the unsanitized input.

The vulnerability is classified as CWE-79 (Improper Neutralization of Input During Web Page Generation), commonly known as Cross-Site Scripting. In the context of a healthcare queue management system, this flaw poses significant risks as it could be leveraged to steal session cookies, modify patient queue data, or redirect users to malicious sites impersonating the legitimate application.

Root Cause

The root cause of this vulnerability is the lack of proper input sanitization and output encoding mechanisms in the /checkin.php file. When user-controlled data from the patient_id parameter is processed, the application fails to neutralize potentially dangerous characters before including them in the HTML response. This allows script tags and event handlers to be injected and executed by the browser.

Attack Vector

The attack can be initiated remotely through network access. An attacker crafts a malicious URL containing JavaScript code in the patient_id parameter and distributes it to potential victims through phishing emails, social engineering, or by posting the link on public forums. When a victim clicks the link, the malicious script executes in their browser within the security context of the vulnerable application.

The exploit has been publicly disclosed and documented, increasing the risk of opportunistic attacks against unpatched installations. For technical details on the exploitation method, refer to the GitHub XSS Vulnerability Report.

Detection Methods for CVE-2026-2150

Indicators of Compromise

  • Unusual URL patterns in web server access logs containing encoded JavaScript or HTML tags in the patient_id parameter
  • HTTP requests to /checkin.php with suspicious payloads such as <script>, javascript:, or event handlers like onerror, onload
  • User reports of unexpected browser behavior or pop-ups when accessing the queue management system
  • Network traffic showing exfiltration of cookies or session tokens to external domains

Detection Strategies

  • Implement web application firewall (WAF) rules to detect and block common XSS payload patterns in URL parameters
  • Configure intrusion detection systems to alert on requests containing encoded script tags or JavaScript event handlers
  • Review web server access logs for anomalous requests targeting /checkin.php with lengthy or encoded parameter values
  • Deploy browser-based security monitoring to detect unauthorized script execution

Monitoring Recommendations

  • Enable detailed logging for all requests to the /checkin.php endpoint
  • Set up real-time alerting for requests containing potential XSS payloads using pattern matching
  • Monitor Content Security Policy (CSP) violation reports if implemented
  • Track session anomalies that may indicate successful exploitation leading to session hijacking

How to Mitigate CVE-2026-2150

Immediate Actions Required

  • Restrict access to the vulnerable /checkin.php file until a patch is applied
  • Implement a Web Application Firewall (WAF) with XSS protection rules as an interim measure
  • Review and audit all user inputs for similar vulnerabilities throughout the application
  • Educate staff about phishing risks and suspicious links targeting the queue management system

Patch Information

At the time of this publication, no official vendor patch has been released for this vulnerability. Organizations should monitor the vendor's official channels and VulDB for updates on security patches. Consider reaching out to the application developer directly for remediation guidance.

Workarounds

  • Implement server-side input validation to reject or sanitize special characters in the patient_id parameter
  • Apply output encoding (HTML entity encoding) when displaying user-supplied data
  • Deploy Content Security Policy (CSP) headers to restrict inline script execution
  • Use HTTP-only and Secure flags on session cookies to mitigate the impact of successful XSS attacks
bash
# Example Apache .htaccess configuration to add security headers
<IfModule mod_headers.c>
    # Enable XSS filtering in browsers
    Header set X-XSS-Protection "1; mode=block"
    
    # Implement Content Security Policy
    Header set Content-Security-Policy "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'"
    
    # Prevent MIME type sniffing
    Header set X-Content-Type-Options "nosniff"
</IfModule>

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

  • Vulnerability Details
  • TypeXSS

  • Vendor/TechPamzey Patients Waiting Area Queue Management System

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityLow
  • AvailabilityNone
  • CWE References
  • CWE-79
  • Technical References
  • GitHub XSS Vulnerability Report

  • VulDB CTI ID #344852

  • VulDB #344852

  • VulDB Submission #747921
  • Related CVEs
  • CVE-2026-3170: Pamzey Queue Management System XSS Flaw

  • CVE-2026-3171: Pamzey Queue Management System XSS Flaw

  • CVE-2026-2149: Pamzey Queue Management System XSS Flaw

  • CVE-2026-2154: Pamzey Queue Management System XSS Flaw
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