VulnerabilityPublished 24 Mar 2026

CVE-2026-4617: SourceCodester Patients Waiting Area Queue Management System · Improper Authorization

Affects SourceCodester Patients Waiting Area Queue Management SystemSource CVE Database V5

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Public exploit available · CVSS 6.9 Medium.

Data as of 29 Oct 2026, 19:04 UTC

CVSS 4.0 base score

6.9Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.3% chance of exploitation in 30 days – higher than 29% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P

Base metrics

Attack Vector: Network
Attack Complexity: Low
Attack Requirements: None
Privileges Required: None
User Interaction: None
Vulnerable system confidentiality: Low
Vulnerable system integrity: Low
Vulnerable system availability: Low
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Threat metrics

Exploit Maturity: POC

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.
Attack Requirements: None: The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.
User Interaction: None: The vulnerable system can be exploited without interaction from any human user, other than the attacker.
Vulnerable system confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the Vulnerable System.
Vulnerable system integrity: Low: Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact to the Vulnerable System.
Vulnerable system availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the Vulnerable System are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.
Exploit Maturity: POC: Based on threat intelligence sources each of the following must apply: · Proof-of-concept is publicly available · No knowledge of reported attempts to exploit this vulnerability · No knowledge of publicly available solutions used to simplify attempts to exploit the vulnerability

Definitions: FIRST CVSS v4.0 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 24 Mar 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: evidence found.
CVSS exploit maturity: proof of concept public
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), CVSS vector, the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponized: A Metasploit exploit module or Exploit-DB entry exists (Metasploit scanner modules do not count), or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
SourceCodesterPatients Waiting Area Queue Management System	Affected =1.0	Fixed in–

AI-suggested

Monitor for updates from SourceCodester and apply security patches promptly once available to fix the ValidateToken authorization flaw.
Until patches are released, implement strict network segmentation and firewall rules to restrict access to the /php/api_patient_checkin.php endpoint to trusted internal IP addresses only.
Deploy Web Application Firewalls (WAF) with custom rules to detect and block anomalous or unauthorized API requests targeting the Patient Check-In Module.
Conduct regular security audits and penetration testing focused on authorization controls within the queue management system.
Enable detailed logging and real-time monitoring of API access to detect suspicious activity indicative of exploitation attempts.
Educate healthcare IT staff about this vulnerability and ensure incident response plans include scenarios involving unauthorized access to patient management systems.
Consider implementing multi-factor authentication and token validation enhancements to strengthen authorization mechanisms.
Review and harden overall access control policies for healthcare applications to minimize exposure of sensitive modules to external networks.

Description

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.

Impact

The improper authorization vulnerability can lead to unauthorized access to patient check-in data and queue management functions, potentially exposing sensitive personal health information and disrupting healthcare operations. Confidentiality is at risk as attackers may view or extract patient data without permission. Integrity could be compromised if attackers alter queue information, causing mismanagement of patient flow and delays in care. Availability might be affected if attackers disrupt the system’s normal functioning, impacting patient service delivery. Given the healthcare context, such disruptions can have serious consequences including patient safety risks, regulatory non-compliance (e.g., HIPAA violations), and reputational damage. The remote and unauthenticated nature of the exploit increases the likelihood of attacks, especially in environments with internet-facing or poorly segmented systems. The public availability of exploit code further elevates the threat level, potentially enabling less skilled attackers to exploit the vulnerability. Organizations relying on this system must consider the operational and legal impacts of unauthorized data access and service disruption.

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 24 Mar 2026, 01:15 UTC

Technical details

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