CVE-2025-7752: Anisha Appointment Booking SQL Injection

CVE-2025-7752 Overview

A critical SQL injection vulnerability has been identified in the code-projects Online Appointment Booking System version 1.0. This vulnerability affects the /admin/deletedoctor.php file, where improper handling of the did parameter allows attackers to inject malicious SQL commands. The attack can be launched remotely without authentication, potentially compromising the entire database backend and exposing sensitive patient and appointment data.

Critical Impact

Remote attackers can execute arbitrary SQL queries through the did parameter in the admin deletedoctor functionality, potentially leading to unauthorized data access, data manipulation, or complete database compromise.

Affected Products

• Anisha Online Appointment Booking System 1.0
• code-projects Online Appointment Booking System 1.0

Discovery Timeline

• July 17, 2025 - CVE-2025-7752 published to NVD
• July 18, 2025 - Last updated in NVD database

Technical Details for CVE-2025-7752

Vulnerability Analysis

This SQL injection vulnerability exists in the doctor deletion functionality of the Online Appointment Booking System's administrative interface. The vulnerable endpoint /admin/deletedoctor.php accepts a did parameter that is directly incorporated into SQL queries without proper sanitization or parameterization. This classic injection flaw (CWE-89) allows attackers to manipulate the database query structure by injecting malicious SQL code through the user-controlled input.

The vulnerability is classified under both CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), indicating fundamental input validation failures in the application's data handling logic.

Root Cause

The root cause of this vulnerability is insufficient input validation and the lack of parameterized queries in the PHP code handling doctor deletion operations. The did parameter is directly concatenated into SQL statements without any sanitization, escaping, or use of prepared statements. This programming oversight allows user-supplied input to break out of the intended SQL query context and execute attacker-controlled database commands.

Attack Vector

The attack vector is network-based, requiring no authentication or user interaction. An attacker can craft malicious HTTP requests to the /admin/deletedoctor.php endpoint with specially crafted values in the did parameter. By injecting SQL metacharacters and additional SQL clauses, attackers can:

• Extract sensitive data from the database through UNION-based or blind SQL injection techniques
• Modify or delete critical appointment and patient records
• Bypass authentication mechanisms by manipulating query logic
• Potentially gain command execution on the database server depending on database configuration

The exploit has been publicly disclosed, making this vulnerability particularly dangerous for unpatched installations. For technical details regarding the proof-of-concept, refer to the GitHub CVE Issue #23 documenting this vulnerability.

Detection Methods for CVE-2025-7752

Indicators of Compromise

• Unusual or malformed requests to /admin/deletedoctor.php containing SQL metacharacters such as single quotes, semicolons, or UNION statements in the did parameter
• Database error messages appearing in web server logs or application responses indicating SQL syntax errors
• Unexpected database queries or high volume of requests targeting the deletedoctor endpoint
• Evidence of data exfiltration or unauthorized database modifications in audit logs

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP parameters targeting the /admin/deletedoctor.php endpoint
• Enable detailed database query logging to identify anomalous SQL statements containing injection signatures
• Implement application-level logging to capture all requests to administrative endpoints with parameter values
• Use intrusion detection systems (IDS) with SQL injection signature rules to alert on suspicious traffic patterns

Monitoring Recommendations

• Monitor web server access logs for requests to /admin/deletedoctor.php with encoded or suspicious parameter values
• Set up alerts for database errors indicating malformed SQL queries originating from the web application
• Track failed and successful database authentication attempts that may indicate lateral movement after initial exploitation
• Review application logs regularly for patterns indicating automated SQL injection scanning tools

How to Mitigate CVE-2025-7752

Immediate Actions Required

• Immediately restrict access to the /admin/deletedoctor.php endpoint via IP whitelisting or additional authentication layers
• Implement Web Application Firewall rules to filter SQL injection attempts targeting the did parameter
• Consider temporarily disabling the doctor deletion functionality until a proper fix can be applied
• Review database audit logs for signs of prior exploitation and assess potential data compromise

Patch Information

At the time of publication, no official patch has been released by the vendor. Organizations using the Online Appointment Booking System should implement the workarounds below and monitor the Code Projects Resource for security updates. For additional vulnerability details, refer to VulDB #316742.

Workarounds

• Modify the vulnerable PHP code to use prepared statements with parameterized queries for all database operations involving user input
• Implement strict input validation on the did parameter to accept only numeric integer values
• Add application-level access controls to ensure only authenticated administrators can access the deletedoctor functionality
• Deploy a reverse proxy or WAF in front of the application to filter malicious requests

# Example: Apache mod_security rule to block SQL injection attempts
SecRule ARGS:did "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection Attempt Detected in did parameter',\
    log,\
    auditlog"