FOR-D3-END

📝 Incident Scenario

Enter incident description: Describe your security incident in natural language. When LLM (GPT-4o) is configured, any scenario can be analyzed dynamically. Without LLM, include a known attack profile keyword (e.g., Pysilon, LockBit, APT-29, BEC) for best results.

Or try an example: 7 attack types based on Verizon DBIR and ENISA Threat Landscape classification. These use predefined attack profiles (DB fallback) and work without LLM API keys.

RAT/Stealer

Ransomware

APT

Insider

Supply Chain

Web Attack

Social Eng.

🔍 FOR-D3-END

Forensic Evidence Prioritization based on D3FEND

📝 Incident Scenario

🔍 FOR-D3-END

Forensic Evidence Prioritization based on D3FEND

📝 Incident Scenario

Artifact Comparison (10-Attribute Radar Chart)