wifi-jammer 2.0.0

Advanced WiFi security testing tool — 10 attack types (deauth, PMKID capture, evil twin, channel hop), CLI/TUI/GUI, cross-platform Linux/macOS/Windows

WiFi Jammer — Advanced WiFi Security Testing Tool | Python 802.11 Frame Injection

WiFi Jammer is an educational Python tool for WiFi security testing and penetration testing. It supports multiple 802.11 frame injection attack types including deauthentication, disassociation, beacon flooding, authentication flooding, association flooding, and probe response flooding. Cross-platform CLI, TUI, and GUI interfaces with SOLID architecture.

Features

Attack Types

• Deauthentication attack (targeted and broadcast)
• Disassociation attack
• Beacon flood attack
• Authentication flood attack
• Association flood attack
• Probe response flood attack
• Channel hopping automation (auto-cycles channels during deauth)
• PMKID and WPA handshake capture
• Evil twin attack (AP spoofing + deauth)
• Client discovery with selective device kicking (NetCut-style)

User Interfaces

• Rich CLI with progress bars, tables, and interactive prompts
• Modern TUI built with Textual
• Cross-platform Qt GUI built with PyQt6 (Linux, macOS, Windows)

Platform Support

• Linux: Full support with monitor mode via iwconfig
• macOS: CoreWLAN scanning with Location Services integration (Intel and Apple Silicon)
• Windows: Basic network scanning (no packet injection)

Quick Install

One-liner (Linux/macOS)

curl -sSL https://raw.githubusercontent.com/oyi77/wifi-jammer/main/quick_install.sh | bash

Git Clone

git clone https://github.com/oyi77/wifi-jammer.git
cd wifi-jammer
bash install.sh

Manual Setup

git clone https://github.com/oyi77/wifi-jammer.git
cd wifi-jammer
pip install -r requirements.txt

# macOS only — optional CoreWLAN support
pip install -r requirements-optional.txt

Usage

CLI Mode

Scan for available WiFi networks:

sudo wifi-jammer scan -i wlan0

Launch a targeted deauthentication attack:

sudo wifi-jammer attack -i wlan0 -t AA:BB:CC:DD:EE:FF -a deauth

Full attack command with options:

sudo wifi-jammer attack \
  --interface wlan0 \
  --target AA:BB:CC:DD:EE:FF \
  --attack deauth \
  --channel 6 \
  --count 1000 \
  --delay 0.1 \
  --verbose

TUI Mode

sudo wifi-jammer --tui

The Textual-based terminal UI provides an interactive interface for scanning networks, selecting targets, configuring attacks, and monitoring progress in real time.

GUI Mode

sudo wifi-jammer --gui
# or
sudo wifi-jammer-gui

The PyQt6 GUI provides point-and-click network scanning, attack configuration, and live progress monitoring. Works on Linux, macOS, and Windows.

Wrapper Script

The included wrapper script auto-detects the best Python interpreter on your system:

sudo ./wifi-jammer.sh scan
sudo ./wifi-jammer.sh attack --tui
sudo ./wifi-jammer.sh attack --interface en0 --target AA:BB:CC:DD:EE:FF --attack deauth

Architecture

WiFi Jammer follows SOLID principles with clear separation of concerns:

wifi_jammer/
├── core/                          # Interfaces and data structures
│   ├── interfaces.py              # AttackType, AttackConfig, INetworkScanner, IAttackStrategy
│   └── platform_interface.py      # Platform abstraction (Linux/macOS/Windows)
├── scanner/
│   └── network_scanner.py         # ScapyNetworkScanner — network and client discovery
├── attacks/
│   ├── base_attack.py             # BaseAttack — shared attack logic, stats tracking
│   ├── deauth_attack.py           # DeauthAttack, DisassocAttack
│   ├── flood_attacks.py           # BeaconFlood, AuthFlood, AssocFlood, ProbeResponse
│   ├── channel_hop_attack.py      # ChannelHopAttack — multi-channel deauth
│   ├── pmkid_capture_attack.py    # PmkidCaptureAttack — WPA handshake capture
│   ├── evil_twin_attack.py        # EvilTwinAttack — AP spoofing + deauth
│   └── netcut_attack.py           # NetcutAttack — selective client kicking
├── factory/
│   └── attack_factory.py          # AttackFactory — strategy pattern for attack creation
├── gui/                           # PyQt6 GUI components
│   ├── main_window.py             # Main application window
│   ├── network_scanner_widget.py  # Network discovery widget
│   ├── attack_config_widget.py    # Attack configuration panel
│   └── progress_monitor_widget.py # Live attack progress display
├── utils/                         # Logger, validators, platform utilities
├── config.py                      # ConfigManager with YAML persistence
├── cli.py                         # Click-based CLI entry point
└── tui.py                         # Textual TUI application

Key design patterns:

• Strategy pattern: Each attack type implements IAttackStrategy, making them interchangeable
• Factory pattern: AttackFactory creates attack instances by type, supports runtime registration
• Interface segregation: Separate interfaces for scanning (INetworkScanner), attacks (IAttackStrategy), monitoring (IMonitor), logging (ILogger), and configuration (IConfigManager)
• Platform abstraction: PlatformInterfaceFactory returns the correct platform implementation (Linux/macOS/Windows) at runtime

Platform Support

Platform	Scanning	Packet Injection	Monitor Mode	GUI	TUI
Linux	Full	Full	iwconfig	Yes	Yes
macOS	CoreWLAN	Limited	Limited	Yes	Yes
Windows	Basic	No	No	Yes	Yes

macOS note: Location Services permission is required for SSID/BSSID visibility. Run bash install.sh to configure this automatically, or enable Python in System Settings > Privacy & Security > Location Services.

Attack Types

Attack	Description	Use Case
deauth	Sends 802.11 deauthentication frames to disconnect clients from an AP	Testing client disconnection resilience
disassoc	Sends 802.11 disassociation frames to remove client associations	Testing reassociation handling
beacon_flood	Broadcasts fake beacon frames with randomized SSIDs	Testing AP discovery and rogue AP detection
auth_flood	Floods an AP with authentication requests	Testing authentication rate limiting
assoc_flood	Floods an AP with association requests	Testing association capacity limits
probe_response	Responds to probe requests with fake network information	Testing probe response validation
channel_hop	Auto-cycles channels during deauth to maximize coverage	Testing multi-channel resilience
pmkid_capture	Captures WPA PMKID and handshake for offline analysis	Testing WPA key exchange security
evil_twin	Spoofs AP beacon and deauths real AP to capture clients	Testing rogue AP detection
netcut	Selectively kicks specific clients from a WiFi network	Testing per-device access control

All attacks support configurable packet count, delay, source MAC spoofing, and channel selection.

Testing

Run the full test suite:

python run_tests.py

Or use pytest directly:

pytest tests/ -v

Tests cover the scanner, attack strategies, factory pattern, CLI, configuration management, validators, platform utilities, and crypto modules.

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/my-attack-type)
3. Add your attack class in wifi_jammer/attacks/ extending BaseAttack
4. Register it in wifi_jammer/factory/attack_factory.py
5. Add corresponding AttackType enum value in wifi_jammer/core/interfaces.py
6. Write tests in tests/
7. Submit a pull request

Adding a new attack type:

from wifi_jammer.attacks.base_attack import BaseAttack

class MyCustomAttack(BaseAttack):
    def _create_packet(self):
        # Construct and return your 802.11 packet
        return packet

License

MIT License. See LICENSE for details.

Disclaimer

This tool is provided for educational and authorized security testing purposes only. Use it exclusively on networks you own or have explicit written permission to test. Unauthorized use of this tool against networks you do not own is illegal and unethical. The authors and contributors assume no liability for misuse. Always comply with local, state, and federal laws regarding network security testing.