Digital Forensics & Incident Response
Incident investigation, evidence analysis, timeline reconstruction, and artifact correlation across Windows, Linux, Cloud, and IoT environments.
A personal, independent project focused on Digital Forensics & Incident Response
PowerForensics began as a personal project to structure and accelerate common DFIR investigation tasks. It originated from the need to acquire artifacts remotely and portably, without relying on external tools, and later evolved into an ecosystem for collection, normalization, timeline analysis, and relational analysis.
PowerForensics does not represent any company or organization. It is an independent project developed to explore, document, and share tooling and applied Digital Forensics & Incident Response methodology.
PowerForensics is not intended to replace analyst judgment or create a black box. Its purpose is to help organize evidence, reduce operational friction, and make the technical details of an incident easier to understand.
DFIR is not only about collecting more data, but about understanding it better.
Knowledge applied across the investigation lifecycle, from evidence acquisition to contextualization and analysis.
Incident investigation, evidence analysis, timeline reconstruction, and artifact correlation across Windows, Linux, Cloud, and IoT environments.
Design of tools and procedures for acquiring evidence from running systems, prioritizing portability, speed, and minimal external dependencies.
Analysis of suspicious activity, post-exploitation behavior, and compromise patterns to support defensive investigations.
Development of analyst-focused tools that automate repetitive tasks, structure results, and facilitate further analysis.
Educational and outreach work in cybersecurity, digital forensics, and incident response.
The project's technical foundation is supported by continuous training in offensive security, incident response, digital forensics, networking, and systems administration.
PowerForensics also stems from a commitment to outreach: sharing methodology, tools, and technical lessons with the DFIR community.