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CVE Vulnerability Database

CVE-2025-3209: Patient Record Management System SQL Injection

CVE-2025-3209 is a critical SQL injection vulnerability in Fabianros Patient Record Management System 1.0 affecting the add_patient.php file. This post covers the technical details, attack vectors, and mitigation strategies.

Published:

CVE-2025-3209 Overview

A critical SQL injection vulnerability has been discovered in the Fabianros Patient Record Management System version 1.0. The vulnerability exists in the /add_patient.php file where improper handling of the itr_no parameter allows attackers to inject malicious SQL statements. This flaw enables remote attackers with low-level privileges to compromise the confidentiality, integrity, and availability of the healthcare database system.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to access, modify, or delete sensitive patient records stored in the healthcare management database through manipulation of the itr_no parameter.

Affected Products

  • Fabianros Patient Record Management System 1.0

Discovery Timeline

  • 2025-04-04 - CVE-2025-3209 published to NVD
  • 2025-05-28 - Last updated in NVD database

Technical Details for CVE-2025-3209

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) stems from improper neutralization of special elements used in SQL commands within the Patient Record Management System. The /add_patient.php endpoint fails to properly sanitize user-supplied input in the itr_no parameter before incorporating it into SQL queries. This allows attackers to inject arbitrary SQL statements that execute with the privileges of the database user.

The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and CWE-89 (SQL Injection), indicating that user input is directly concatenated into SQL queries without proper parameterization or input validation.

Root Cause

The root cause of this vulnerability is the lack of input validation and improper construction of SQL queries in the add_patient.php file. The application directly incorporates user-supplied data from the itr_no parameter into SQL statements without using prepared statements, parameterized queries, or proper input sanitization. This classic SQL injection pattern allows malicious SQL code to be interpreted as part of the query structure rather than as data.

Attack Vector

The attack can be launched remotely over the network by authenticated users with low privileges. An attacker targets the /add_patient.php endpoint and manipulates the itr_no parameter to include SQL injection payloads. Since the exploit has been publicly disclosed, attackers with basic knowledge of SQL injection techniques can craft malicious requests to extract database contents, modify patient records, or potentially escalate privileges within the application.

The attack requires no user interaction and can be automated, making it particularly dangerous in healthcare environments where patient data confidentiality is paramount. Successful exploitation could lead to unauthorized access to protected health information (PHI), data manipulation, or denial of service to the patient management system.

Detection Methods for CVE-2025-3209

Indicators of Compromise

  • Unusual SQL syntax patterns in web server logs, particularly in requests to /add_patient.php
  • Unexpected database errors or query failures logged by the application
  • Anomalous characters in the itr_no parameter including single quotes, double dashes, or UNION keywords
  • Evidence of data exfiltration or bulk data access from patient tables

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect SQL injection patterns in HTTP requests targeting /add_patient.php
  • Implement database activity monitoring to identify suspicious query patterns including UNION-based or error-based injection attempts
  • Configure application logging to capture all input parameters submitted to the add_patient endpoint
  • Use intrusion detection systems with SQL injection signature rules focused on healthcare application traffic

Monitoring Recommendations

  • Monitor web server access logs for repeated requests to /add_patient.php with encoded or malformed itr_no values
  • Enable database auditing to track queries executed against patient record tables
  • Set up alerts for database errors that may indicate failed injection attempts
  • Review authentication logs for unusual access patterns from compromised accounts

How to Mitigate CVE-2025-3209

Immediate Actions Required

  • Restrict network access to the Patient Record Management System to trusted IP ranges only
  • Implement additional authentication controls for the /add_patient.php endpoint
  • Deploy a Web Application Firewall with SQL injection protection rules
  • Conduct an immediate audit of database logs to identify potential exploitation attempts

Patch Information

No official vendor patch has been released at this time. Organizations using Fabianros Patient Record Management System 1.0 should contact the vendor or consider implementing manual code fixes to address the SQL injection vulnerability. For additional vulnerability details, refer to the VulDB entry #303163 and the GitHub CVE Repository.

Workarounds

  • Modify the /add_patient.php source code to implement prepared statements with parameterized queries for all database operations involving user input
  • Add strict input validation to ensure the itr_no parameter accepts only expected data formats (alphanumeric characters, specific length requirements)
  • Deploy the application behind a reverse proxy with SQL injection filtering capabilities
  • Consider temporarily disabling the add patient functionality until a proper fix can be implemented
bash
# Example: Restrict access to vulnerable endpoint via Apache .htaccess
<Files "add_patient.php">
    Order Deny,Allow
    Deny from all
    Allow from 192.168.1.0/24
    # Replace with your trusted internal network range
</Files>

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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