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🛠️ Tool
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Orochi is an open-source framework for collaborative forensic memory dump analysis, developed by LDO-CERT and built on Volatility 3, Django, and Dask.
Key Features
The core value proposition is multi-analyst collaboration on memory forensics. Multiple analysts can upload, analyze, and correlate memory dumps simultaneously through a web interface, eliminating the need for local Volatility installations or manual result sharing.
The architecture distributes Volatility 3 plugin execution across Dask workers, enabling parallel processing of forensic artifacts. The stack includes:
• Volatility 3: Core memory forensics framework for extracting digital artifacts
• Dask: Parallel computing library distributing plugin execution across workers
• PostgreSQL: Stores user and analysis metadata
• Redis: Message broker and cache for asynchronous communications between components
• Django WSGI/ASGI: Web backend with real-time WebSocket updates for result delivery
• Nginx: Reverse proxy providing HTTPS termination
• Mailpit: Local SMTP service for user registration emails
• Docker Compose: Orchestrates the full stack for x64 and arm64 platforms
The real-time WebSocket updates via Django ASGI mean analysts see results as they complete rather than polling or refreshing.
Technical Implementation
When an analyst triggers a Volatility plugin against a memory dump, the task is queued through Redis and distributed to available Dask workers. Results are persisted to PostgreSQL and pushed to connected clients via WebSocket. Symbol files and Volatility plugins are managed through the admin interface or management commands.
Use Cases
• Incident response teams correlating memory analysis across multiple compromised endpoints
• SOC workflows where analysts share findings without transferring large dump files
• Multi-host forensic correlation to identify common artifacts across breached machines
• Training environments for memory forensics education with shared datasets
Considerations
The tool requires Docker infrastructure and sufficient storage for potentially large memory dump files. The Dask architecture allows scaling workers based on analysis demand, but resource planning is needed for production deployments. Default credentials (admin/admin) should be changed before any non-lab deployment. The initial setup requires downloading Volatility plugins and symbol files.
Note: haven't tested personally.
🔹 orochi #memoryforensics #volatility3 #dfir #tool
🔗 Source: https://github.com/LDO-CERT/orochi