implementing-diamond-model-analysis

# Implementing Diamond Model Analysis ## Overview The Diamond Model of Intrusion Analysis provides a structured framework for analyzing cyber intrusions by examining four core features: Adversary, Capability, Infrastructure, and Victim. This skill covers implementing the Diamond Model programmatically to classify and correlate intrusion events, build activity threads linking related events, create activity-attack graphs, and generate pivot-ready intelligence from intrusion data. ## When to Use - When deploying or configuring implementing diamond model analysis capabilities in your environment - When establishing security controls aligned to compliance requirements - When building or improving security architecture for this domain - When conducting security assessments that require this implementation ## Prerequisites - Python 3.9+ with `networkx`, `stix2`, `graphviz` libraries - Understanding of the Diamond Model core and meta-features - Access to threat intelligence data (MISP/OpenCTI events) - Familiarity with MITRE ATT&CK for capability mapping ## Key Concepts ### Diamond Model Core Features - **Adversary**: The threat actor or operator conducting the intrusion - **Capability**: The tools, techniques, and malware used (maps to ATT&CK) - **Infrastructure**: C2 servers, domains, email addresses, hosting providers - **Victim**: Target organization, system, person, or data asset ### Meta-Features - **Timestamp**: When the event occurred - **Phase**: Kill chain stage ...