Title:
Developing a User Interface for the Security Vulnerability Detection in E-commerce Web Application

Authors:
Seun Mayowa Sunday, United Kingdom

Abstract:

The growing number of cyberattacks, especially SQLi vulnerabilities, emphasizes the need for easily available and efficient cybersecurity solutions, particularly for e-commerce systems that manage sensitive data. The aim of this project is to create an easy-to-use tool that enables non-technical users to identify and remediate SQLi vulnerabilities in web applications.
 
Using a structured methodology, the project integrated cutting-edge tools, including Django for system architecture, SQLMap for automated vulnerability scanning, and Celery for task management, ensuring seamless operation and usability. To validate the correctness and effectiveness of the solution, thorough testing was conducted on several web applications.
 
The findings revealed that the system reliably detected high-severity vulnerabilities, with actionable recommendations to mitigate risks. Key mitigation strategies include input validation, parameterised queries, and integration of Web Application Firewalls (WAFs), supported by regular security audits and adherence to the principle of least privilege. The project demonstrated how a multi-layered defence strategy not only guards against SQLi attacks but also promotes inclusivity by allowing non-technical individuals to preserve their digital assets. While effective, the study highlights areas for future research, such as expanding the scope to address other web vulnerabilities like cross-site scripting (XSS).

DOI: http://dx.doi.org/10.51505/ijaemr.2025.1521