CVE-2025-63718
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-11-07

Last updated on: 2025-11-17

Assigner: MITRE

Description
A SQL injection vulnerability exists in the SourceCodester PQMS (Patient Queue Management System) 1.0 in the api_patient_schedule.php endpoint. The appointmentID parameter is not properly sanitized, allowing attackers to execute arbitrary SQL commands.
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Meta Information
Published
2025-11-07
Last Modified
2025-11-17
Generated
2026-05-07
AI Q&A
2025-11-07
EPSS Evaluated
2026-05-05
NVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
pamzey patients_waiting_area_queue_management_system 1.0
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?

This vulnerability is a SQL injection in the SourceCodester PQMS 1.0 application, specifically in the api_patient_schedule.php endpoint. The appointmentID parameter is not properly sanitized, which allows attackers to insert and execute arbitrary SQL commands on the database.


How can this vulnerability impact me? :

An attacker exploiting this vulnerability could manipulate the database by executing arbitrary SQL commands. This could lead to unauthorized data access, data modification, or deletion, potentially compromising sensitive patient information and disrupting the application's functionality.


How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:

This vulnerability could lead to unauthorized access or disclosure of sensitive patient data, which would likely result in non-compliance with data protection regulations such as GDPR and HIPAA that require safeguarding personal health information.


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