16 KiB
FuzzForge CLI
🛡️ FuzzForge CLI - Command-line interface for FuzzForge security testing platform
A comprehensive CLI for managing security testing workflows, monitoring runs in real-time, and analyzing findings with beautiful terminal interfaces and persistent project management.
✨ Features
- 📁 Project Management - Initialize and manage FuzzForge projects with local databases
- 🔧 Workflow Management - Browse, configure, and run security testing workflows
- 🚀 Workflow Execution - Execute and manage security testing workflows
- 🔍 Findings Analysis - View, export, and analyze security findings in multiple formats
- 📊 Real-time Monitoring - Live dashboards for fuzzing statistics and crash reports
- ⚙️ Configuration - Flexible project and global configuration management
- 🎨 Rich UI - Beautiful tables, progress bars, and interactive prompts
- 💾 Persistent Storage - SQLite database for runs, findings, and crash data
- 🛡️ Error Handling - Comprehensive error handling with user-friendly messages
- 🔄 Network Resilience - Automatic retries and graceful degradation
🚀 Quick Start
Installation
Prerequisites
- Python 3.11 or higher
- uv package manager
Install FuzzForge CLI
# Clone the repository
git clone https://github.com/FuzzingLabs/fuzzforge_alpha.git
cd fuzzforge_alpha/cli
# Install globally with uv (recommended)
uv tool install .
# Alternative: Install in development mode
uv sync
uv add --editable ../sdk
uv tool install --editable .
# Verify installation
fuzzforge --help
Shell Completion (Optional)
# Install completion for your shell
fuzzforge --install-completion
Initialize Your First Project
# Create a new project directory
mkdir my-security-project
cd my-security-project
# Initialize FuzzForge project
ff init
# Check status
fuzzforge status
This creates a .fuzzforge/ directory with:
- SQLite database for persistent storage
- Configuration file (
config.yaml) - Project metadata
Run Your First Analysis
# List available workflows
fuzzforge workflows list
# Get workflow details
fuzzforge workflows info security_assessment
# Submit a workflow for analysis
fuzzforge workflow run security_assessment /path/to/your/code
# View findings when complete
fuzzforge finding <execution-id>
📚 Command Reference
Project Management
ff init
Initialize a new FuzzForge project in the current directory.
ff init --name "My Security Project" --api-url "http://localhost:8000"
Options:
--name, -n- Project name (defaults to directory name)--api-url, -u- FuzzForge API URL (defaults to http://localhost:8000)--force, -f- Force initialization even if project exists
fuzzforge status
Show comprehensive project and API status information.
fuzzforge status
Displays:
- Project information and configuration
- Database statistics (runs, findings, crashes)
- API connectivity and available workflows
Workflow Management
fuzzforge workflows list
List all available security testing workflows.
fuzzforge workflows list
fuzzforge workflows info <workflow-name>
Show detailed information about a specific workflow.
fuzzforge workflows info security_assessment
Displays:
- Workflow metadata (version, author, description)
- Parameter schema and requirements
- Supported volume modes and features
fuzzforge workflows parameters <workflow-name>
Interactive parameter builder for workflows.
# Interactive mode
fuzzforge workflows parameters security_assessment
# Save parameters to file
fuzzforge workflows parameters security_assessment --output params.json
# Non-interactive mode (show schema only)
fuzzforge workflows parameters security_assessment --no-interactive
Workflow Execution
fuzzforge workflow run <workflow> <target-path>
Execute a security testing workflow with automatic file upload.
# Basic execution - CLI automatically detects local files and uploads them
fuzzforge workflow run security_assessment /path/to/code
# With parameters
fuzzforge workflow run security_assessment /path/to/binary \
--param timeout=3600 \
--param iterations=10000
# With parameter file
fuzzforge workflow run security_assessment /path/to/code \
--param-file my-params.json
# Wait for completion
fuzzforge workflow run security_assessment /path/to/code --wait
Automatic File Upload Behavior:
The CLI intelligently handles target files based on whether they exist locally:
-
Local file/directory exists → Automatic upload to MinIO:
- CLI creates a compressed tarball (
.tar.gz) for directories - Uploads via HTTP to backend API
- Backend stores in MinIO with unique
target_id - Worker downloads from MinIO when ready to analyze
- ✅ Works from any machine (no shared filesystem needed)
- CLI creates a compressed tarball (
-
Path doesn't exist locally → Path-based submission (legacy):
- Path is sent to backend as-is
- Backend expects target to be accessible on its filesystem
- ⚠️ Only works when CLI and backend share filesystem
Example workflow:
$ ff workflow security_assessment ./my-project
🔧 Getting workflow information for: security_assessment
📦 Detected local directory: ./my-project (21 files)
🗜️ Creating compressed tarball...
📤 Uploading to backend (0.01 MB)...
✅ Upload complete! Target ID: 548193a1-f73f-4ec1-8068-19ec2660b8e4
🎯 Executing workflow:
Workflow: security_assessment
Target: my-project.tar.gz (uploaded)
Volume Mode: ro
Status: 🔄 RUNNING
✅ Workflow started successfully!
Execution ID: security_assessment-52781925
Upload Details:
- Max file size: 10 GB (configurable on backend)
- Compression: Automatic for directories (reduces upload time)
- Storage: Files stored in MinIO (S3-compatible)
- Lifecycle: Automatic cleanup after 7 days
- Caching: Workers cache downloaded targets for faster repeated workflows
Options:
--param, -p- Parameter in key=value format (can be used multiple times)--param-file, -f- JSON file containing parameters--volume-mode, -v- Volume mount mode:ro(read-only) orrw(read-write)--timeout, -t- Execution timeout in seconds--interactive/--no-interactive, -i/-n- Interactive parameter input--wait, -w- Wait for execution to complete
Worker Lifecycle Options (v0.7.0):
--auto-start/--no-auto-start- Auto-start required worker (default: from config)--auto-stop/--no-auto-stop- Auto-stop worker after completion (default: from config)
Examples:
# Worker starts automatically (default behavior)
fuzzforge workflow ossfuzz_campaign . project_name=zlib
# Disable auto-start (worker must be running already)
fuzzforge workflow ossfuzz_campaign . --no-auto-start
# Auto-stop worker after completion
fuzzforge workflow ossfuzz_campaign . --wait --auto-stop
fuzzforge workflow status [execution-id]
Check the status of a workflow execution.
# Check specific execution
fuzzforge workflow status abc123def456
# Check most recent execution
fuzzforge workflow status
fuzzforge workflow history
Show workflow execution history from local database.
# List all executions
fuzzforge workflow history
# Filter by workflow
fuzzforge workflow history --workflow security_assessment
# Filter by status
fuzzforge workflow history --status completed
# Limit results
fuzzforge workflow history --limit 10
fuzzforge workflow retry <execution-id>
Retry a workflow with the same or modified parameters.
# Retry with same parameters
fuzzforge workflow retry abc123def456
# Modify parameters interactively
fuzzforge workflow retry abc123def456 --modify-params
Findings Management
fuzzforge finding [execution-id]
View security findings for a specific execution.
# Display latest findings
fuzzforge finding
# Display specific execution findings
fuzzforge finding abc123def456
fuzzforge findings
Browse all security findings from local database.
# List all findings
fuzzforge findings
# Show findings history
fuzzforge findings history --limit 20
fuzzforge finding export [execution-id]
Export security findings in various formats.
# Export latest findings
fuzzforge finding export --format json
# Export specific execution findings
fuzzforge finding export abc123def456 --format sarif
# Export as CSV with output file
fuzzforge finding export abc123def456 --format csv --output report.csv
# Export as HTML report
fuzzforge finding export --format html --output report.html
Configuration Management
fuzzforge config show
Display current configuration settings.
# Show project configuration
fuzzforge config show
# Show global configuration
fuzzforge config show --global
fuzzforge config set <key> <value>
Set a configuration value.
# Project settings
fuzzforge config set project.api_url "http://api.fuzzforge.com"
fuzzforge config set project.default_timeout 7200
fuzzforge config set project.default_workflow "security_assessment"
# Retention settings
fuzzforge config set retention.max_runs 200
fuzzforge config set retention.keep_findings_days 120
# Preferences
fuzzforge config set preferences.auto_save_findings true
fuzzforge config set preferences.show_progress_bars false
# Global configuration
fuzzforge config set project.api_url "http://global.api.com" --global
fuzzforge config get <key>
Get a specific configuration value.
fuzzforge config get project.api_url
fuzzforge config get retention.max_runs --global
fuzzforge config reset
Reset configuration to defaults.
# Reset project configuration
fuzzforge config reset
# Reset global configuration
fuzzforge config reset --global
# Skip confirmation
fuzzforge config reset --force
fuzzforge config edit
Open configuration file in default editor.
# Edit project configuration
fuzzforge config edit
# Edit global configuration
fuzzforge config edit --global
🏗️ Project Structure
When you initialize a FuzzForge project, the following structure is created:
my-project/
├── .fuzzforge/
│ ├── config.yaml # Project configuration
│ └── findings.db # SQLite database
├── .gitignore # Updated with FuzzForge entries
└── README.md # Project README (if created)
Database Schema
The SQLite database stores:
- runs - Workflow run history and metadata
- findings - Security findings and SARIF data
- crashes - Crash reports and fuzzing data
Configuration Format
Project configuration (.fuzzforge/config.yaml):
project:
name: "My Security Project"
api_url: "http://localhost:8000"
default_timeout: 3600
default_workflow: null
retention:
max_runs: 100
keep_findings_days: 90
preferences:
auto_save_findings: true
show_progress_bars: true
table_style: "rich"
color_output: true
workers:
auto_start_workers: true # Auto-start workers when needed
auto_stop_workers: false # Auto-stop workers after completion
worker_startup_timeout: 60 # Worker startup timeout (seconds)
docker_compose_file: null # Custom docker-compose.yml path
🔧 Advanced Usage
Parameter Handling
FuzzForge CLI supports flexible parameter input:
-
Command line parameters:
ff workflow workflow-name /path key1=value1 key2=value2 -
Parameter files:
echo '{"timeout": 3600, "threads": 4}' > params.json ff workflow workflow-name /path --param-file params.json -
Interactive prompts:
ff workflow workflow-name /path --interactive -
Parameter builder:
ff workflows parameters workflow-name --output my-params.json ff workflow workflow-name /path --param-file my-params.json
Environment Variables
Override configuration with environment variables:
export FUZZFORGE_API_URL="http://production.api.com"
export FUZZFORGE_TIMEOUT="7200"
Data Retention
Configure automatic cleanup of old data:
# Keep only 50 runs
fuzzforge config set retention.max_runs 50
# Keep findings for 30 days
fuzzforge config set retention.keep_findings_days 30
Export Formats
Support for multiple export formats:
- JSON - Simplified findings structure
- CSV - Tabular data for spreadsheets
- HTML - Interactive web report
- SARIF - Standard security analysis format
🛠️ Development
Setup Development Environment
# Clone repository
git clone https://github.com/FuzzingLabs/fuzzforge_alpha.git
cd fuzzforge_alpha/cli
# Install in development mode
uv sync
uv add --editable ../sdk
# Install CLI in editable mode
uv tool install --editable .
Project Structure
cli/
├── src/fuzzforge_cli/
│ ├── __init__.py
│ ├── main.py # Main CLI app
│ ├── config.py # Configuration management
│ ├── database.py # Database operations
│ ├── exceptions.py # Error handling
│ ├── api_validation.py # API response validation
│ └── commands/ # Command implementations
│ ├── init.py # Project initialization
│ ├── workflows.py # Workflow management
│ ├── runs.py # Run management
│ ├── findings.py # Findings management
│ ├── config.py # Configuration commands
│ └── status.py # Status information
├── pyproject.toml # Project configuration
└── README.md # This file
Running Tests
# Run tests (when available)
uv run pytest
# Code formatting
uv run black src/
uv run isort src/
# Type checking
uv run mypy src/
⚠️ Troubleshooting
Common Issues
"No FuzzForge project found"
# Initialize a project first
ff init
API Connection Failed
# Check API URL configuration
fuzzforge config get project.api_url
# Test API connectivity
fuzzforge status
# Update API URL if needed
fuzzforge config set project.api_url "http://correct-url:8000"
Permission Errors
# Ensure proper permissions for project directory
chmod -R 755 .fuzzforge/
# Check file ownership
ls -la .fuzzforge/
Database Issues
# Check database file exists
ls -la .fuzzforge/findings.db
# Reinitialize if corrupted (will lose data)
rm .fuzzforge/findings.db
ff init --force
Environment Variables
Set these environment variables for debugging:
export FUZZFORGE_DEBUG=1 # Enable debug logging
export FUZZFORGE_API_URL="..." # Override API URL
export FUZZFORGE_TIMEOUT="30" # Override timeout
Getting Help
# General help
fuzzforge --help
# Command-specific help
ff workflows --help
ff workflow run --help
# Show version
fuzzforge --version
🏆 Example Workflow
Here's a complete example of analyzing a project:
# 1. Initialize project
mkdir my-security-audit
cd my-security-audit
ff init --name "Security Audit 2024"
# 2. Check available workflows
fuzzforge workflows list
# 3. Submit comprehensive security assessment
ff workflow security_assessment /path/to/source/code --wait
# 4. View findings in table format
fuzzforge findings get <run-id>
# 5. Export detailed report
fuzzforge findings export <run-id> --format html --output security_report.html
# 6. Check project statistics
fuzzforge status
📜 License
This project is licensed under the terms specified in the main FuzzForge repository.
🤝 Contributing
Contributions are welcome! Please see the main FuzzForge repository for contribution guidelines.
FuzzForge CLI - Making security testing workflows accessible and efficient from the command line.