CVE-2025-7539: Anisha Booking System SQLi Vulnerability

CVE-2025-7539 Overview

A SQL injection vulnerability has been discovered in code-projects Online Appointment Booking System 1.0. This issue affects the /getdoctordaybooking.php file where improper handling of the cid parameter allows attackers to inject malicious SQL queries. The attack can be initiated remotely without authentication, and exploit details have been publicly disclosed.

Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract sensitive database contents, modify or delete data, and potentially compromise the underlying server hosting the healthcare appointment system.

Affected Products

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

Discovery Timeline

July 13, 2025 - CVE-2025-7539 published to NVD
July 16, 2025 - Last updated in NVD database

Technical Details for CVE-2025-7539

Vulnerability Analysis

This SQL injection vulnerability exists in the Online Appointment Booking System, a web application designed for healthcare appointment scheduling. The vulnerable endpoint /getdoctordaybooking.php accepts a cid parameter that is directly incorporated into SQL queries without proper sanitization or parameterization.

The vulnerability falls under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), specifically manifesting as SQL injection. When exploited, attackers can manipulate database queries to perform unauthorized operations including data extraction, modification, and deletion.

The network-accessible nature of this vulnerability means any unauthenticated remote attacker can craft malicious requests targeting the vulnerable endpoint. Healthcare appointment systems typically contain sensitive patient information, appointment histories, and doctor schedules, making this vulnerability particularly concerning from a data privacy perspective.

Root Cause

The root cause is insufficient input validation and lack of parameterized queries in the /getdoctordaybooking.php file. The cid parameter is concatenated directly into SQL statements without sanitization, allowing special SQL characters to escape the intended query context and execute arbitrary SQL commands.

Attack Vector

The attack is executed over the network by sending specially crafted HTTP requests to the /getdoctordaybooking.php endpoint. By manipulating the cid parameter with SQL injection payloads, attackers can:

Extract database contents through UNION-based or error-based injection techniques
Bypass authentication mechanisms if credentials are stored in accessible tables
Modify or delete appointment records and patient data
Potentially achieve further system compromise depending on database privileges

The vulnerability does not require authentication, making it accessible to any remote attacker who can reach the web application. For detailed technical information about this vulnerability, refer to the GitHub CVE Issue Tracker and VulDB entry #316235.

Detection Methods for CVE-2025-7539

Indicators of Compromise

Anomalous HTTP requests to /getdoctordaybooking.php containing SQL syntax in the cid parameter
Database error messages appearing in application logs indicating malformed queries
Unexpected database query patterns or SELECT statements with UNION keywords
Failed authentication attempts followed by successful access without proper credentials

Detection Strategies

Deploy Web Application Firewall (WAF) rules to detect SQL injection patterns in HTTP parameters
Implement database activity monitoring to identify anomalous query patterns
Configure application logging to capture all requests to /getdoctordaybooking.php
Use intrusion detection systems with SQL injection signature rules

Monitoring Recommendations

Monitor HTTP access logs for suspicious patterns in the cid parameter values
Enable database audit logging to track unauthorized SELECT, INSERT, UPDATE, or DELETE operations
Set up alerts for database errors that may indicate injection attempts
Review web server logs for requests containing typical SQL injection characters (', --, UNION, SELECT)

How to Mitigate CVE-2025-7539

Immediate Actions Required

Remove or restrict access to /getdoctordaybooking.php until a fix is applied
Implement Web Application Firewall rules to block SQL injection attempts
Review database logs for evidence of exploitation and assess potential data exposure
Consider taking the application offline if it handles sensitive patient data

Patch Information

No official vendor patch is currently available for this vulnerability. Organizations using Online Appointment Booking System 1.0 should implement the workarounds below and monitor for vendor updates. For additional context, see the Code Projects Security Hub and VulDB submission #613689.

Workarounds

Implement input validation to sanitize the cid parameter, allowing only numeric values
Use prepared statements with parameterized queries to prevent SQL injection
Deploy a WAF with SQL injection protection rules in front of the application
Restrict database user privileges to minimum required operations
Implement network segmentation to limit access to the application

bash

# Example: Apache mod_security rule to block SQL injection in cid parameter
SecRule ARGS:cid "@detectSQLi" \
    "id:1001,phase:2,deny,status:403,msg:'SQL Injection detected in cid parameter'"