1000 Projects Attendance Tracking Management System SQL Injection Vulnerability

Vulnerability

A critical SQL injection vulnerability exists in version 1.0 of the 1000 Projects Attendance Tracking Management System. The issue is located in the file '/admin/edit_action.php', where the 'attendance_id' parameter is not properly validated, allowing attackers to inject malicious SQL queries that could be executed by the database. This vulnerability can be exploited remotely, leading to unauthorized database access, data leakage, data tampering, potential system control, and service interruptions.

Impact

Exploitation of this vulnerability allows for SQL injection, which could be used to manipulate database queries, potentially leading to unauthorized data access, data modification or deletion, and in some cases, executing administrative operations on the database.

Reproduction

The vulnerability can be reproduced by sending a POST request to '/admin/edit_action.php' with a crafted 'attendance_id' parameter that includes malicious SQL code. This can be done using tools like sqlmap, which automates the process of finding and exploiting SQL injection vulnerabilities.

Remediation

To address this vulnerability, it is recommended to implement prepared statements and parameter binding to ensure that user inputs are treated as data, not executable code. Additionally, strict input validation and sanitization should be applied to all user inputs, particularly the 'attendance_id' parameter, to conform to expected formats and types. Applying the principle of least privilege by restricting database user permissions to the minimum necessary for application functionality can also help limit potential damage if an attacker gains database access.

Added: Jun 9, 2025, 7:46 PM
Updated: Jun 9, 2025, 7:46 PM

Vulnerability Rating

Custom Algorithm
spread
0.8
impact
7.5
exploitability
8.0
remediation
0.0
relevance
0.0
threat
6.4
urgency
2.9
incentive
1.7

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