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Added DOCKER.md for docker hub
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.github/workflows/docker-publish.yml

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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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repository: therealpotus/vol3-triage
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readme-filepath: ./README.md
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readme-filepath: ./DOCKER.md
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short-description: "LLM-guided Volatility3 memory forensics triage tool"

DOCKER.md

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# LLM-Guided Volatility3 Triage Tool
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A memory forensics triage assistant that combines Volatility3 with Large Language Model analysis to help analysts quickly identify and prioritize suspicious artifacts in Windows memory dumps.
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## Features
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- **Automated Volatility3 Execution**: Runs 10 forensic plugins to extract processes, network connections, DLLs, handles, and code injection indicators
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- **Two-Stage LLM Analysis**: Uses Google Gemini or Anthropic Claude to analyze raw data and provide scored findings with explanations
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- **Interactive Chat**: Ask follow-up questions about findings with full forensic context
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- **Hunting Checklist**: Automatically generates prioritized investigation steps
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- **Web Interface**: Simple browser-based UI for submitting dumps and reviewing results
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## Quick Start
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### Using Docker Run
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```bash
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# Create directories for dumps and outputs
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mkdir -p dumps runs
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# Run with Google Gemini (recommended)
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docker run -d \
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-p 8000:8000 \
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-v $(pwd)/dumps:/dumps:ro \
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-v $(pwd)/runs:/app/runs \
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-e LLM_PROVIDER=google \
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-e GOOGLE_API_KEY=your_google_api_key \
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--name vol3-triage \
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therealpotus/vol3-triage:latest
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# Or run with Anthropic Claude
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docker run -d \
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-p 8000:8000 \
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-v $(pwd)/dumps:/dumps:ro \
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-v $(pwd)/runs:/app/runs \
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-e LLM_PROVIDER=anthropic \
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-e ANTHROPIC_API_KEY=your_anthropic_api_key \
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--name vol3-triage \
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therealpotus/vol3-triage:latest
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```
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### Using Docker Compose
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1. Download the compose file:
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```bash
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wget https://raw.githubusercontent.com/vermi/vol3-triage/main/docker-compose.yml
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```
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2. Create a `.env` file:
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```bash
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echo "LLM_PROVIDER=google" > .env
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echo "GOOGLE_API_KEY=your_key_here" >> .env
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```
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3. Start the container:
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```bash
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docker-compose up -d
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```
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## Usage
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1. Place memory dump files in your `./dumps/` directory
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2. Open `http://localhost:8000/app` in your browser
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3. Enter the path `/dumps/your-file.dmp`, a case name, and scenario description
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4. Click **Run Triage** and wait for analysis (5-15 minutes depending on dump size)
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5. Review results in the Summary, Checklist, LLM Analysis, and Chat tabs
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## Environment Variables
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| Variable | Description | Default |
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|----------|-------------|---------|
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| `LLM_PROVIDER` | LLM provider: `google` or `anthropic` | `google` |
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| `GOOGLE_API_KEY` | Google Gemini API key | - |
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| `ANTHROPIC_API_KEY` | Anthropic Claude API key | - |
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## API Keys
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- **Google Gemini** (recommended, 1M token context): https://aistudio.google.com/apikey
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- **Anthropic Claude** (200K token context): https://console.anthropic.com/
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## Volume Mounts
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| Path | Description |
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|------|-------------|
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| `/dumps` | Memory dump files (read-only) |
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| `/app/runs` | Analysis output directory (persisted) |
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## Links
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- **GitHub**: https://github.com/vermi/vol3-triage
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- **Documentation**: See full README on GitHub for detailed documentation

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