This is a research framework for behavioral digital attribution. The framework is released as open-source academic research.

If you discover a security vulnerability in the framework implementation, please report it through GitHub security advisories.

Due to the research nature of this framework, security considerations are mainly relevant to:

• Prototype implementation security
• Data handling in experiments
• API design patterns

This framework is released for research purposes only. Behavioral attribution technology has dual-use potential. Users are responsible for ensuring compliance with local laws and ethical guidelines.

The framework currently lacks:

• Input validation hardening
• Security audit for production use
• Privacy compliance assessment

This is intentional as the framework is presented as research methodology, not operational software.