More than a year ago, I started asking myself a simple question.
Can someone truly hide behind a digital identity?
Every day, investigators and analysts rely on technical indicators to understand who is behind online activity. IP addresses, usernames, infrastructure, devices, and network artifacts all play an important role. Yet many of these indicators can be changed, hidden, or intentionally manipulated.
Human behavior is different.
The way people write, communicate, organize ideas, and express themselves often follows patterns that are surprisingly consistent over time.
That observation became the foundation for what eventually grew into the AnubisX Framework.
This project wasn't built overnight.
Over the course of more than a year, it evolved through continuous research, redesign, implementation, documentation, validation, and refinement. Many early ideas were abandoned. Others were rewritten multiple times before they reached a level I was comfortable publishing.
The result is the first public release of the AnubisX Framework.
Rather than being just another software project, AnubisX is intended as a structured framework for studying behavioral digital attribution. It combines theoretical foundations, technical architecture, documented methodology, a working prototype, and initial validation into a single openly available resource.
The framework is designed to support future work in areas including:
- Cyber Threat Intelligence
- Digital Forensics (DFIR)
- Open Source Intelligence (OSINT)
- Fraud Investigation
- Behavioral Analytics
- Digital Identity Attribution
Alongside the framework, I also published a book that explains the broader ideas behind this research.
You Can Hide Your Name... Not Your Mind: How Artificial Intelligence Reveals the Human Behind Digital Identities – Introducing the AnubisX Attribution Framework
The book focuses less on implementation and more on the underlying concepts, philosophy, and implications of behavioral attribution in an increasingly AI-driven world.
If you're interested in understanding not only how the framework works but also why it was created, the book provides that broader perspective.
You can explore the project through the following resources:
GitHub Repository
https://github.com/nullc0d30/AnubisXFramework
Archived Release (DOI)
https://doi.org/10.5281/zenodo.21374132
Book
You Can Hide Your Name... Not Your Mind
https://www.amazon.com/dp/B0H8LCTTWW
This is the first public release of AnubisX. It is not the end of the journey—it is the beginning.
I hope it encourages discussion, independent evaluation, constructive criticism, and future collaboration. If the framework helps researchers, investigators, or practitioners think differently about digital attribution, then the past year of work has been well worth it.
I look forward to hearing your thoughts.
