OBSIDIAN Protocol v2.1.7 - Autonomous Evidence Capture for Incident Response

When evidence disappears in seconds, you don't have time for bloated enterprise tools.

OBSIDIAN Protocol is a field-tested incident response framework designed for operators who need lightweight, modular, and forensically-sound evidence capture in hostile environments. Whether you're documenting red team operations, responding to active breaches, or preserving digital crime scenes, OBSIDIAN automates the critical first hour when evidence is most fragile.

This isn't corporate compliance theater. This is operational forensics.

Born from real-world necessity, OBSIDIAN captures system state, volatile memory, network traffic, running processes, and targeted logs—all with cryptographic integrity, immutable timestamps, and automated remote replication. Every snapshot is self-contained, encrypted (AES-256), hashed (SHA-256), and ready for chain-of-custody documentation.

What You Get: → Complete 40+ page field manual with production-ready code → Full Python implementation with modular architecture → YAML configuration templates for rapid deployment

→ Deployment guides from installation to automation → Advanced capture techniques (memory dumps, anti-forensics detection, container inspection) → Real-world case studies and operational scenarios → Legal & forensic considerations for evidence admissibility → Troubleshooting guides and maintenance schedules

Who This Is For:

• Penetration testers documenting authorized operations
• Blue teams responding to active incidents
• Forensic investigators preserving crime scenes
• Security researchers analyzing malware behavior
• System administrators requiring audit trails

Unlike Velociraptor (enterprise bloat), KAPE (Windows-only), or commercial SIEM solutions, OBSIDIAN runs on minimal infrastructure, operates in compromised networks, and captures evidence before adversaries can sanitize their tracks.

⚠️ LEGAL NOTICE: Requires explicit written authorization for all target systems. Unauthorized deployment is illegal. See full disclaimer in manual.

Technical Requirements: Linux (Debian/Ubuntu/RHEL/Arch), Python 3.10+, root access, 10GB storage minimum.

License: Single-user license. All rights reserved. No redistribution.