Desarrollo de una aplicación web para el análisis forense con Volatility

Abstract

[en] This work focuses on the development of a REST API and Frontend for the Volatility forensic tool, using advanced technologies such as Flask and React, and adopting a Waterfall development methodology to ensure efficient structure and execution. The project addresses the growing need for accessible and easy-to-use forensic tools in the field of cybersecurity, especially for memory analysis in electronic devices. The main goal has been to create an intuitive and elegant REST API and Frontend, which not only complies with design standards and best practices, but also offers a smooth user experience and a scalable architecture. Special emphasis has been placed on information security and data processing efficiency. The implementation of design patterns, such as Factory and Strategy, and the adoption of effective software development practices have been crucial to achieve a robust and reliable system. This work represents a significant advance in the facilitation of digital forensics, with important implications for the field of cybersecurity and related education.