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CVE-2026-2150: Cross Site Scripting in SourceCodester Patients Waiting Area Queue Management System

0
Medium
VulnerabilityCVE-2026-2150cvecve-2026-2150
Published: Sun Feb 08 2026 (02/08/2026, 11:32:07 UTC)
Source: CVE Database V5
Vendor/Project: SourceCodester
Product: Patients Waiting Area Queue Management System

Description

A flaw has been found in SourceCodester/Patrick Mvuma Patients Waiting Area Queue Management System 1.0. Affected by this issue is some unknown functionality of the file /checkin.php. This manipulation of the argument patient_id causes cross site scripting. The attack can be initiated remotely. The exploit has been published and may be used.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/23/2026, 21:36:00 UTC

Technical Analysis

CVE-2026-2150 is a cross-site scripting vulnerability identified in the SourceCodester Patients Waiting Area Queue Management System version 1.0. The vulnerability arises from insufficient input validation or output encoding of the patient_id parameter in the /checkin.php script. An attacker can craft a malicious URL or payload that injects executable JavaScript code into the application’s response, which is then executed in the context of the victim’s browser. This type of reflected XSS attack can be initiated remotely without requiring authentication, relying on social engineering to trick users into clicking malicious links. The CVSS 4.0 base score of 5.3 reflects a medium severity, considering the attack vector is network-based, with low complexity and no privileges required, but requiring user interaction. The impact primarily affects confidentiality and integrity, allowing attackers to steal session cookies, perform actions on behalf of users, or deface web content. The vulnerability does not impact system availability or require special conditions such as sandbox escape. No official patches or updates have been released yet, and no active exploitation has been reported, but the existence of published exploit code increases the risk of future attacks. The vulnerability highlights the importance of proper input sanitization and output encoding in web applications, especially those handling sensitive patient data in healthcare environments.

Potential Impact

The primary impact of CVE-2026-2150 is the potential compromise of user confidentiality and integrity within the Patients Waiting Area Queue Management System. Attackers exploiting this XSS flaw can execute arbitrary scripts in the context of authenticated users, potentially stealing session tokens, redirecting users to malicious sites, or manipulating displayed information. This can lead to unauthorized access to patient data or manipulation of queue information, undermining trust and privacy. Although availability is not directly affected, successful attacks could disrupt normal operations through phishing or defacement. Healthcare organizations relying on this system may face regulatory compliance issues and reputational damage if patient data is exposed. The medium severity score reflects that while the vulnerability is exploitable remotely without authentication, it requires user interaction, limiting the attack scope. However, given the sensitive nature of healthcare data and the criticality of patient management systems, even moderate vulnerabilities warrant prompt attention to prevent escalation or chaining with other exploits.

Mitigation Recommendations

To mitigate CVE-2026-2150, organizations should implement the following specific measures: 1) Apply any available patches or updates from SourceCodester promptly once released. 2) In the absence of official patches, implement strict input validation on the patient_id parameter to allow only expected formats (e.g., numeric IDs) and reject or sanitize any suspicious input. 3) Employ output encoding techniques such as HTML entity encoding to neutralize injected scripts before rendering user-controllable data in the browser. 4) Utilize Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of XSS attacks. 5) Conduct regular security testing, including automated scanning and manual code reviews, focusing on input handling in web application components. 6) Educate users and staff about the risks of clicking unsolicited links and encourage reporting of suspicious activity. 7) Monitor web server logs for unusual query parameters or repeated attempts to exploit patient_id. 8) Consider deploying Web Application Firewalls (WAFs) with rules designed to detect and block XSS payloads targeting this parameter. These targeted controls go beyond generic advice and address the specific attack vector and environment of this vulnerability.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2026-02-07T07:54:09.264Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 698877874b57a58fa17decd8

Added to database: 2/8/2026, 11:46:15 AM

Last enriched: 2/23/2026, 9:36:00 PM

Last updated: 3/26/2026, 4:05:25 AM

Views: 82

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