Skip to main content
CVE Vulnerability Database

CVE-2025-7750: Anisha Appointment Booking SQL Injection

CVE-2025-7750 is a critical SQL injection flaw in Anisha Online Appointment Booking System that allows remote attackers to manipulate database queries. This post covers technical details, affected versions, and mitigation.

Published:

CVE-2025-7750 Overview

A critical SQL injection vulnerability has been identified in code-projects Online Appointment Booking System version 1.0. The vulnerability exists in the /admin/adddoctorclinic.php file, where the clinic parameter is not properly sanitized before being used in SQL queries. This allows remote attackers to inject malicious SQL commands, potentially compromising the entire database backend of the healthcare appointment management system.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to extract sensitive patient data, modify appointment records, bypass authentication, or potentially gain unauthorized access to the underlying database server without any authentication requirements.

Affected Products

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

Discovery Timeline

  • 2025-07-17 - CVE-2025-7750 published to NVD
  • 2025-07-18 - Last updated in NVD database

Technical Details for CVE-2025-7750

Vulnerability Analysis

This SQL injection vulnerability resides in the administrative functionality of the Online Appointment Booking System. The /admin/adddoctorclinic.php endpoint accepts user-supplied input through the clinic parameter, which is directly incorporated into database queries without proper sanitization or parameterization. The vulnerability is remotely exploitable with no authentication required, allowing attackers to manipulate SQL queries from an external network position.

The exploitation complexity is low, requiring no special conditions or user interaction. An attacker can craft malicious input containing SQL metacharacters and query syntax that, when processed by the vulnerable endpoint, executes unintended database operations. This can lead to unauthorized data access, data manipulation, and potentially complete database compromise.

Root Cause

The root cause of this vulnerability is improper input validation (CWE-74) and SQL injection (CWE-89). The clinic parameter value is concatenated directly into SQL statements without using prepared statements, parameterized queries, or adequate input sanitization. This allows attacker-controlled data to be interpreted as SQL code rather than data.

Attack Vector

The attack vector is network-based, allowing remote exploitation without authentication. An attacker can send specially crafted HTTP requests to the /admin/adddoctorclinic.php endpoint with malicious SQL code embedded in the clinic parameter. The vulnerable code processes this input directly in database queries, enabling attackers to:

  • Extract sensitive information from the database (patient records, credentials, appointment data)
  • Modify or delete database records
  • Bypass authentication mechanisms
  • Potentially execute commands on the database server depending on database configuration

For technical details and proof-of-concept information, refer to the GitHub Issue Discussion and VulDB #316740.

Detection Methods for CVE-2025-7750

Indicators of Compromise

  • Unusual or malformed HTTP requests targeting /admin/adddoctorclinic.php with SQL syntax in parameters
  • Database error messages in application logs indicating SQL syntax errors from malformed queries
  • Unexpected database queries or data access patterns in database audit logs
  • Authentication bypass attempts or unauthorized administrative access

Detection Strategies

  • Deploy web application firewall (WAF) rules to detect SQL injection patterns in requests to /admin/adddoctorclinic.php
  • Monitor application logs for SQL error messages or stack traces that may indicate injection attempts
  • Implement database activity monitoring to detect anomalous query patterns or unauthorized data access
  • Review HTTP access logs for requests containing SQL keywords (UNION, SELECT, INSERT, DROP, etc.) in the clinic parameter

Monitoring Recommendations

  • Enable verbose logging on web application servers to capture full request parameters
  • Configure database auditing to log all queries against sensitive tables
  • Set up alerts for authentication failures or administrative access from unexpected sources
  • Monitor for data exfiltration patterns such as large query result sets or unusual outbound data transfers

How to Mitigate CVE-2025-7750

Immediate Actions Required

  • Restrict network access to the /admin/adddoctorclinic.php endpoint using firewall rules or access control lists
  • Implement web application firewall (WAF) rules to block SQL injection attack patterns
  • Consider temporarily disabling the affected functionality until a patch is available
  • Review application logs for evidence of exploitation attempts

Patch Information

No official vendor patch has been released at this time. Users should monitor the Code Projects Resource Hub for security updates. Given the nature of this vulnerability in a code-projects application, organizations should consider implementing manual code fixes or replacing the affected component.

Workarounds

  • Use prepared statements or parameterized queries to handle the clinic parameter input
  • Implement strict input validation to whitelist acceptable characters for the clinic field
  • Deploy a web application firewall configured with SQL injection detection rules
  • Restrict access to administrative endpoints to trusted IP addresses only
  • Implement additional authentication mechanisms for sensitive administrative functions
bash
# Example Apache .htaccess to restrict admin access by IP
<Directory "/var/www/html/admin">
    Order Deny,Allow
    Deny from all
    Allow from 192.168.1.0/24
    Allow from 10.0.0.0/8
</Directory>

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

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.