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CVE-2026-1148: Cross-Site Request Forgery in SourceCodester Patients Waiting Area Queue Management System

0
Medium
VulnerabilityCVE-2026-1148cvecve-2026-1148
Published: Mon Jan 19 2026 (01/19/2026, 09:32:05 UTC)
Source: CVE Database V5
Vendor/Project: SourceCodester
Product: Patients Waiting Area Queue Management System

Description

A vulnerability was determined in SourceCodester/Patrick Mvuma Patients Waiting Area Queue Management System 1.0. This vulnerability affects unknown code. Executing a manipulation can lead to cross-site request forgery. It is possible to launch the attack remotely.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/23/2026, 22:13:02 UTC

Technical Analysis

CVE-2026-1148 identifies a Cross-Site Request Forgery (CSRF) vulnerability in SourceCodester's Patients Waiting Area Queue Management System version 1.0. CSRF vulnerabilities occur when a web application does not properly verify that state-changing requests originate from legitimate users, allowing attackers to craft malicious requests that execute actions on behalf of authenticated users without their knowledge. This vulnerability affects an unknown portion of the codebase but is confirmed to allow remote exploitation without requiring authentication or privileges, though user interaction is necessary (e.g., clicking a malicious link). The attack vector is network-based (remote), and the vulnerability impacts the integrity of the system by enabling unauthorized commands that could alter queue management data or patient handling processes. The CVSS 4.0 vector indicates no confidentiality or availability impact, but a low integrity impact, with no privileges required and low attack complexity. No patches or known exploits are currently available, highlighting the need for proactive mitigation. The system is likely used in healthcare environments to manage patient queues, making the integrity of its operations critical for smooth patient flow and service delivery.

Potential Impact

The primary impact of this CSRF vulnerability is on the integrity of the Patients Waiting Area Queue Management System. Attackers can potentially manipulate patient queue data, alter waiting times, or disrupt the normal flow of patient management by forcing authenticated users to unknowingly execute malicious requests. This could lead to operational disruptions in healthcare facilities, causing delays, mismanagement of patient appointments, or erroneous data entries. Although confidentiality and availability are not directly affected, the integrity compromise can indirectly impact patient care quality and trust in the system. Organizations relying on this software may face reputational damage, regulatory scrutiny, and operational inefficiencies if exploited. The lack of authentication requirements lowers the barrier for exploitation, but the need for user interaction somewhat limits the attack scope. However, targeted phishing or social engineering campaigns could increase the risk of successful exploitation.

Mitigation Recommendations

To mitigate this vulnerability, organizations should implement robust anti-CSRF protections such as synchronizer tokens or double-submit cookies to ensure that all state-changing requests are verified as legitimate. Validating the HTTP Referer or Origin headers can provide additional protection against unauthorized requests. Updating or patching the software once a vendor fix is available is critical. In the meantime, restricting access to the management system to trusted networks or VPNs can reduce exposure. User education is essential to prevent clicking on suspicious links or visiting untrusted websites while authenticated to the system. Web application firewalls (WAFs) configured to detect and block CSRF attack patterns can provide an additional layer of defense. Regular security assessments and code reviews should be conducted to identify and remediate similar vulnerabilities proactively.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2026-01-18T13:50:23.362Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 696dfc59d302b072d996adb0

Added to database: 1/19/2026, 9:41:45 AM

Last enriched: 2/23/2026, 10:13:02 PM

Last updated: 3/24/2026, 8:09:50 PM

Views: 68

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