CVE-2026-3980 Overview
A SQL injection vulnerability has been identified in itsourcecode Online Doctor Appointment System version 1.0. The vulnerability exists in the /admin/patient_action.php file, where improper handling of the patient_id parameter allows attackers to inject malicious SQL statements. This flaw enables remote attackers to manipulate database queries without authentication, potentially leading to unauthorized data access, modification, or deletion.
Critical Impact
This SQL injection vulnerability allows unauthenticated remote attackers to execute arbitrary SQL commands against the backend database, potentially compromising patient records, authentication credentials, and sensitive healthcare data.
Affected Products
- itsourcecode Online Doctor Appointment System 1.0
Discovery Timeline
- 2026-03-12 - CVE-2026-3980 published to NVD
- 2026-03-12 - Last updated in NVD database
Technical Details for CVE-2026-3980
Vulnerability Analysis
This vulnerability is classified as an Injection flaw (CWE-74) affecting the administrative patient action functionality. The vulnerable endpoint /admin/patient_action.php accepts user-controlled input through the patient_id parameter without proper sanitization or parameterized queries. When a request is processed, the unsanitized input is directly concatenated into SQL statements, allowing attackers to break out of the intended query structure and inject arbitrary SQL commands.
The attack can be launched remotely over the network without requiring any prior authentication or user interaction. The exploit has been publicly disclosed, increasing the risk of active exploitation in the wild. Healthcare applications like this system typically store highly sensitive patient information, making this vulnerability particularly concerning from a data privacy and regulatory compliance perspective.
Root Cause
The root cause of this vulnerability is the lack of proper input validation and sanitization on the patient_id parameter in /admin/patient_action.php. The application directly incorporates user-supplied input into database queries without using parameterized queries or prepared statements, which is a fundamental secure coding violation. This allows attackers to manipulate the query logic by injecting SQL syntax through the vulnerable parameter.
Attack Vector
The attack vector is network-based, requiring no authentication or privileges. An attacker can craft malicious HTTP requests to the /admin/patient_action.php endpoint with specially crafted patient_id parameter values containing SQL injection payloads. These payloads can be designed to extract sensitive data from the database (using UNION-based or error-based injection techniques), modify or delete records, or potentially escalate access depending on database permissions.
The vulnerability is exploitable through standard SQL injection techniques. An attacker would send a request to the vulnerable endpoint with a manipulated patient_id parameter containing SQL metacharacters and commands. For example, injecting boolean-based payloads can enumerate database contents, while time-based blind injection can extract data even when error messages are suppressed. Technical details and proof-of-concept information are available in the GitHub Issue Discussion.
Detection Methods for CVE-2026-3980
Indicators of Compromise
- Unusual or malformed requests to /admin/patient_action.php containing SQL metacharacters such as single quotes, double quotes, semicolons, or SQL keywords
- Database error messages in application logs indicating syntax errors or unexpected query structures
- Anomalous database query patterns including UNION SELECT statements, time delays (SLEEP/WAITFOR), or attempts to access system tables
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the patient_id parameter
- Monitor HTTP access logs for requests to /admin/patient_action.php containing common SQL injection payloads or encoding attempts
- Deploy database activity monitoring to detect unusual query patterns, failed query attempts, or unauthorized data access
Monitoring Recommendations
- Enable detailed logging on the web server and database to capture all requests to the vulnerable endpoint
- Configure alerting for database errors that may indicate injection attempts, particularly syntax errors from the patient_action module
- Regularly review access logs for reconnaissance patterns that may precede exploitation attempts
How to Mitigate CVE-2026-3980
Immediate Actions Required
- Restrict access to /admin/patient_action.php by implementing IP-based access controls or taking the endpoint offline until patched
- Deploy WAF rules specifically targeting SQL injection attempts on the patient_id parameter
- Audit database access logs to determine if exploitation has already occurred and assess potential data exposure
Patch Information
No official vendor patch has been identified for this vulnerability. Users should monitor the IT Source Code Homepage for updates. Given the severity and public disclosure of this vulnerability, organizations using this software should prioritize implementing mitigations or consider alternative solutions. Additional technical information is available through VulDB #350415.
Workarounds
- Implement prepared statements and parameterized queries in the /admin/patient_action.php file to prevent SQL injection
- Add strict input validation to ensure patient_id accepts only expected numeric values
- Deploy a Web Application Firewall with SQL injection protection rules in front of the application
- Restrict database user privileges to minimum required permissions to limit potential damage from successful exploitation
# Example WAF rule to block SQL injection attempts (ModSecurity)
SecRule ARGS:patient_id "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Detected'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
