0.1.0

AFL Overseer

Monitoring and visualization tool for AFL/AFL++ fuzzing campaigns.

Overview

AFL Overseer monitors AFL and AFL++ fuzzing campaigns, providing real-time statistics and performance metrics. It combines features from the original afl-monitor and AFLplusplus/afl-whatsup with additional capabilities.

Features

• Interactive TUI - Terminal interface with live updates, sortable columns, and multiple detail levels
• Web Dashboard - Browser-based UI with real-time graphs and REST API
• Process Detection - Identifies alive, dead, and starting fuzzer instances
• Resource Monitoring - CPU and memory usage per fuzzer
• Performance Warnings - Detects dead fuzzers, low stability, high timeouts, and stalled campaigns
• Crash Notifications - Execute custom commands when new crashes are found
• Comprehensive Stats - Parses all fuzzer_stats fields including AFL++ 4.x extensions

Tracked Metrics

Standard AFL metrics plus AFL++ extensions:

• testcache_size, testcache_count, testcache_evict
• cpu_affinity, peak_rss_mb
• edges_found, total_edges
• var_byte_count, havoc_expansion, auto_dict_entries
• afl_version, target_mode
• slowest_exec_ms, execs_since_crash
• Per-fuzzer CPU and memory usage
• Time without finds and comprehensive timing metrics

Installation

Requirements

• Python 3.8+
• Linux, macOS, or WSL2

From PyPI (Recommended)

# Install from PyPI
pip install afl-overseer

# Run directly
afl-overseer /path/to/sync_dir

From Source

Using a Virtual Environment

git clone https://github.com/kirit1193/afl-overseer.git
cd afl-overseer

python3 -m venv venv
source venv/bin/activate

pip3 install -r requirements.txt
chmod +x afl-overseer

./afl-overseer /path/to/sync_dir

User Installation

git clone https://github.com/kirit1193/afl-overseer.git
cd afl-overseer

pip3 install --user -r requirements.txt
chmod +x afl-overseer

# Optional: Install globally
sudo ln -s $(pwd)/afl-overseer /usr/local/bin/

Dependencies

click>=8.1.0      # CLI framework
rich>=13.0.0      # Terminal output
psutil>=5.9.0     # Process monitoring
textual>=0.40.0   # Interactive TUI
aiohttp>=3.8.0    # Web server

Usage

Interactive TUI

# Launch TUI (default mode)
afl-overseer /path/to/sync_dir

# Keyboard controls:
#   q - Quit
#   r - Refresh now
#   1/2/3 - Compact/Normal/Detailed view
#   n/s/c/e/r - Sort by Name/Speed/Coverage/Execs/Crashes
#   d - Toggle dead fuzzers
#   p - Pause/Resume auto-refresh

Web Dashboard

# Start web server with TUI
afl-overseer -w /path/to/sync_dir

# Headless mode (no TUI)
afl-overseer -w --headless /path/to/sync_dir

# Custom port
afl-overseer -w -p 3000 /path/to/sync_dir

# Access at http://localhost:8080

Static Output

# One-time output
afl-overseer -s /path/to/sync_dir

# Detailed per-fuzzer stats
afl-overseer -s -v /path/to/sync_dir

# Execute command on new crash
afl-overseer -s -e './send_alert.sh' /path/to/sync_dir

Command-Line Options

Architecture

afl-overseer/
├── afl-overseer            # Main executable
├── src/
│   ├── cli.py              # Command-line interface
│   ├── tui.py              # Interactive TUI
│   ├── webserver.py        # Web server and dashboard
│   ├── models.py           # Data models
│   ├── parser.py           # Stats and plot data parsers
│   ├── process.py          # Process detection and monitoring
│   ├── monitor.py          # Core monitoring logic
│   ├── utils.py            # Utility functions
│   └── output_terminal.py  # Terminal output formatter
├── requirements.txt        # Python dependencies
└── testing/                # Test utilities and benchmarks

Process Detection

Fuzzer status is determined by:

• Alive: Process exists and responds to signals
• Dead: Process PID not found or no recent activity
• Starting: fuzzer_setup newer than fuzzer_stats with recent modification

Performance Warnings

Automatic detection of:

• Dead fuzzer instances
• High timeout ratio (≥10%)
• Slow execution (<100 execs/sec)
• Cycles without finds (>10 cycles warning, >50 cycles critical)
• Low stability (<80%)
• High slowest execution time (>100ms)

Web Dashboard

The web interface provides:

• Real-time graphs for speed, coverage, and paths/crashes
• Live fuzzer status table with warnings
• System resource monitoring
• Light/Dark theme toggle
• Mobile-responsive design
• REST API endpoint at /api/stats

Example API response:

{
  "summary": {
    "alive_fuzzers": 3,
    "total_fuzzers": 3,
    "total_execs": 1000000,
    "current_speed": 500.0,
    "max_coverage": 45.2,
    "total_crashes": 5,
    "corpus_count": 250
  },
  "fuzzers": [...],
  "system": {...}
}

Crash Notifications

Execute custom commands when new crashes are detected:

afl-overseer -s -e './notify.sh' /path/to/sync_dir

The command receives summary information via stdin:

AFL Overseer - New Crash Detected!

Timestamp: 2024-01-15 14:30:00
Total Crashes: 5
New Crashes: 2
Active Fuzzers: 8/10
Coverage: 12.34%

Example notification script:

#!/bin/bash
MESSAGE=$(cat)
curl -X POST https://hooks.slack.com/... -d "{\"text\": \"$MESSAGE\"}"

Integration Examples

Systemd Service

[Unit]
Description=AFL Overseer Web Dashboard
After=network.target

[Service]
Type=simple
User=fuzzer
WorkingDirectory=/home/fuzzer
ExecStart=/usr/local/bin/afl-overseer -w --headless -i 60 /fuzzing/sync_dir
Restart=always

[Install]
WantedBy=multi-user.target

Remote Access

# Start headless web server
afl-overseer -w --headless -p 8080 /sync_dir

# SSH tunnel from local machine
ssh -L 8080:localhost:8080 user@remote-server

# Access at http://localhost:8080

Performance

Optimized for scanning large fuzzing campaigns:

• 4 fuzzers: ~7ms per scan
• 20 fuzzers: ~28ms per scan
• 100 fuzzers: ~111ms per scan

Achieves ~600-900 fuzzers/sec throughput through:

• Parallel processing with ThreadPoolExecutor
• Non-blocking CPU monitoring
• Efficient file parsing
• Optimized process detection

See testing/benchmark.py for performance testing.

Troubleshooting

Permission Denied

If you see warnings about process access:

# Add user to fuzzer's group
sudo usermod -a -G fuzzer $USER

No Fuzzers Found

Check directory structure:

/sync_dir/
  ├── fuzzer01/
  │   └── fuzzer_stats
  ├── fuzzer02/
  │   └── fuzzer_stats
  └── ...

Use: afl-overseer /sync_dir (not /sync_dir/fuzzer01)

Security

AFL Overseer is designed with security as a primary consideration and is safe to expose to the internet with proper network controls.

Security Features

• ✅ Read-Only Design - Zero user input, no forms, no file uploads
• ✅ GET Requests Only - All HTTP endpoints are read-only
• ✅ No Attack Surface - No POST/PUT/DELETE, no query parameters processed
• ✅ Static Content - No XSS, CSRF, SQL injection, or command injection vectors
• ✅ Thread-Safe - Proper locking mechanisms prevent race conditions
• ✅ Secure Dependencies - Well-maintained, popular libraries only
• ✅ No Authentication Needed - Stateless, read-only monitoring

Security Audits

The codebase undergoes automated security scanning:

• Static Analysis: pylint, flake8, mypy
• Security Scanning: bandit (SAST), Trivy (vulnerability scanner)
• Dependency Checking: safety, automated updates

See SECURITY.md for detailed security information and best practices.

Recommended Deployment

While designed to be secure, we recommend:

1. Network Controls: Limit access via firewall/VPN
2. Reverse Proxy: Use nginx with rate limiting and SSL
3. Monitoring: Log access patterns
4. Updates: Keep dependencies current

Project History

AFL Overseer is a rewrite of the original afl-monitor tool by Paul S. Ziegler. This version addresses security issues in the Python 2.7 codebase (unsafe pickle usage, deprecated modules) and adds support for AFL++ 4.x features, interactive TUI, and web dashboard capabilities.

Key differences from the original:

• Python 3.8+ with type hints (vs Python 2.7)
• Interactive TUI and web dashboard (vs static output only)
• Secure implementation without pickle or command injection
• AFL++ 4.x field support with 50+ metrics
• Real-time resource monitoring per fuzzer
• Parallel processing for improved performance

Thanks to Paul S. Ziegler for the original afl-monitor.

License

Copyright (c) 2024 kirit1193. Licensed under the MIT License.

Original afl-monitor: Copyright (c) 2017 Paul S. Ziegler, Reflare Ltd. (Apache License 2.0)

See LICENSE for details.

Acknowledgments

• Original afl-monitor by Paul S. Ziegler
• AFLplusplus project and afl-whatsup
• AFL by Michal Zalewski

Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions