itsourcecode Student Management System SQL Injection Vulnerability in Billing Module

Vulnerability

A SQL injection vulnerability has been identified in the itsourcecode Student Management System version 1.0. The issue resides in the billing module, specifically within the file '/ramonsys/billing/index.php'. The vulnerability allows remote attackers to inject malicious SQL queries through the 'id' parameter, exploiting the application's failure to properly sanitize user input before it is processed in SQL commands. This flaw could lead to unauthorized database access, data manipulation, and potential disruption of service.

Impact

Exploitation of this vulnerability allows for SQL injection, where attackers can manipulate database queries. This could result in unauthorized access to database information, alteration of data, and in some cases, executing administrative operations on the database. Such actions could severely compromise the application's data integrity and security.

Reproduction

To reproduce this vulnerability, send a GET request to '/ramonsys/billing/index.php' with the 'view' parameter set to 'add' and the 'id' parameter manipulated to include a crafted SQL payload. The injection can be verified by using a time-based blind SQL injection technique, such as adding a SQL command that causes a delay in the response, indicating that the injection was successful.

Remediation

It is recommended to use prepared statements and parameter binding to prevent SQL injection vulnerabilities. Additionally, input validation and filtering should be implemented to ensure that user input conforms to expected formats. Minimizing database user permissions and conducting regular security audits can also help mitigate such vulnerabilities.

Added: Feb 6, 2026, 10:18 AM
Updated: Feb 6, 2026, 3:26 PM

Vulnerability Rating

Custom Algorithm
spread
0.0
impact
3.1
exploitability
8.7
remediation
0.0
relevance
2.8
threat
6.4
urgency
2.9
incentive
4.2

Our algorithm analyzes dozens of metrics to generate these 8 key vulnerability categories, which are then combined to calculate the overall risk score.