CVE-2026-4617 in Patients Waiting Area Queue Management System
Summary
by MITRE • 03/24/2026
A weakness has been identified in SourceCodester Patients Waiting Area Queue Management System 1.0. The impacted element is the function ValidateToken of the file /php/api_patient_checkin.php of the component Patient Check-In Module. Executing a manipulation can lead to improper authorization. It is possible to launch the attack remotely. The exploit has been made available to the public and could be used for attacks.
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Analysis
by VulDB Data Team • 03/28/2026
The vulnerability CVE-2026-4617 resides within the SourceCodester Patients Waiting Area Queue Management System version 1.0, specifically targeting the ValidateToken function located in the /php/api_patient_checkin.php file. This weakness represents a critical authorization flaw that undermines the system's ability to properly verify user credentials and access permissions. The vulnerability affects the Patient Check-In Module component, which serves as a crucial interface for managing patient flow and queue operations within healthcare facilities. The issue stems from inadequate input validation and token verification mechanisms that fail to properly authenticate users before granting access to sensitive patient check-in functionalities.
The technical implementation of this vulnerability allows attackers to manipulate the ValidateToken function through remote exploitation, bypassing the intended authorization controls. This flaw enables unauthorized individuals to gain access to patient check-in systems without proper authentication, potentially leading to unauthorized modifications of patient queues, access to confidential patient information, and disruption of healthcare workflow operations. The vulnerability's remote exploitability means that attackers do not require physical access to the system or network to carry out malicious activities, making it particularly dangerous in healthcare environments where patient data protection is paramount. The public availability of exploitation tools further amplifies the risk, as it lowers the barrier to entry for potential attackers.
The operational impact of this vulnerability extends beyond simple unauthorized access, potentially compromising patient privacy and healthcare delivery efficiency. Healthcare facilities utilizing this system may face significant risks including data breaches, patient queue manipulation that could cause delays in medical care, and potential exposure of sensitive health information. The vulnerability could be exploited to disrupt patient flow management, create false patient records, or gain access to administrative functions that control the entire queue management system. This represents a serious concern for healthcare organizations that must comply with regulations such as HIPAA, as unauthorized access to patient information could result in substantial regulatory penalties and reputational damage.
Mitigation strategies for CVE-2026-4617 should prioritize immediate patching of the affected system through the vendor's official updates or security patches. Organizations should implement network segmentation to limit access to the vulnerable system and employ robust input validation measures to prevent token manipulation attacks. Security monitoring should be enhanced to detect unusual access patterns or unauthorized attempts to manipulate patient check-in functions. Additionally, access controls should be strengthened through multi-factor authentication implementation and regular security audits of the queue management system. The vulnerability aligns with CWE-284, which addresses improper access control, and represents a significant concern under ATT&CK technique T1078 for valid accounts usage, as attackers could potentially escalate privileges through the compromised authorization mechanism. Organizations should also consider implementing network intrusion detection systems to monitor for exploitation attempts and establish incident response procedures specifically addressing unauthorized access to patient management systems.