pwnagotchi_plugins

Age.py: Age, Strength, Network Points, and Stars Plugin for Pwnagotchi v2.0.2

Author: AlienMajik Version: 2.0.2 Description: Enhanced plugin with achievement tiers, configurable titles, decay mechanics, progress tracking, and dynamic status messages. Key Stats:

Age (♥ Age): Tracks how many epochs your Pwnagotchi has lived, now without any reliance on the AI brain.
Strength (Str): Reflects how much your Pwnagotchi has "trained," increasing every 10 epochs.
Network Points (★ Pts): Earn points by capturing handshakes, with the number of points determined by the encryption strength of the networks encountered:
    WPA3: +10 points
    WPA2: +5 points
    WEP/WPA: +2 points
    Open/Unknown: +1 point

Stars (GTA-Style) with Tiered Symbols: Every 1000 handshakes grants one additional star, up to a maximum of 5 stars.

    0–4,999 handshakes: Stars appear as ★.
    5,000–9,999 handshakes: Stars appear as ♦.
    10,000+ handshakes: Stars appear as ♣.

This provides a fun, evolving visual progression as your handshake count climbs. The plugin also counts existing handshakes in /root/handshakes, so you never start from zero! New Enhancements in v2.0.2:

Dynamic Status Messages:
    Motivational Quotes: Displayed when the user levels up in age or strength (e.g., "You're a WiFi wizard in the making!").
    Inactivity Messages: Shown when the agent undergoes decay due to inactivity (e.g., "Time to wake up, you're rusting!").
    These dynamic messages are randomly chosen and help keep the user engaged, providing a personalized experience as they reach milestones or experience inactivity.

Improved Age and Strength Titles:
    The titles for both age and strength have been revised to be more interesting and engaging:
        Age Titles: "Neon Spawn," "WiFi Outlaw," "Data Raider," etc.
        Strength Titles: "Fleshbag," "Deauth King," "Handshake Hunter," etc.
    These titles make the progression more varied and fun, allowing users to see their growth in a more exciting way.

Updated UI:
    The UI now includes a section showing users their current stats, including Age, Strength, Network Points, and Stars, as well as dynamic updates reflecting achievements or decay status.

Updated Logging and Milestones:
    The logging system has been maintained and now includes milestone tracking for key intervals (e.g., every 100 epochs).
    Milestones trigger UI updates with faces and messages to keep the agent engaged as they reach new achievements.

Features:

Persistent Stats: Age, Strength, Points, and Stars survive reboots, ensuring no progress is lost.
UI Integration: Stats, progress, and decay messages are displayed directly on the Pwnagotchi screen.
Points Logging: Every points increment is logged in /root/network_points.log along with network details.
Star System:
    Every 1000 handshakes grants one additional star, up to a maximum of 5 stars.
    0–4,999 handshakes: Stars appear as ★.
    5,000–9,999 handshakes: Stars appear as ♦.
    10,000+ handshakes: Stars appear as ♣.
Decay Mechanism: Inactivity causes points decay after a specified number of epochs.
Dynamic Status Messages: Motivational quotes and inactivity messages keep users engaged.

Installation Instructions:

Copy the Plugin File: Place the age.py file into your Pwnagotchi’s custom plugins directory:

/usr/local/share/pwnagotchi/custom-plugins/

Alternatively, clone it from GitHub:

sudo scp age.py root@<pwnagotchi_ip>:/usr/local/share/pwnagotchi/custom-plugins/

Update config.toml: Add the following lines to your /etc/pwnagotchi/config.toml:

main.plugins.age.enabled = true
main.plugins.age.age_x_coord = 101
main.plugins.age.age_y_coord = 80
main.plugins.age.str_x_coord = 160
main.plugins.age.str_y_coord = 80
main.plugins.age.decay_interval = 50
main.plugins.age.decay_amount = 5
main.plugins.age.points_x_coord = 10
main.plugins.age.points_y_coord = 100
main.plugins.age.stars_x_coord = 10
main.plugins.age.stars_y_coord = 120
main.plugins.age.max_stars = 5
main.plugins.age.star_interval = 1000

Restart Pwnagotchi: After adding the plugin and configuring it, restart your Pwnagotchi:

sudo systemctl restart pwnagotchi

Usage:

As your Pwnagotchi runs, watch the Age, Strength, and Network Points stats increase.
Handshakes are captured to update the Points stat based on network encryption:
    WPA3: +10 pts
    WPA2: +5 pts
    WEP/WPA: +2 pts
    Open/Unknown: +1 pt
Every 1000 handshakes grants an additional star, showing off your Pwnagotchi’s “rep.”
Decay: Inactivity causes points decay after a specified number of epochs, tracked by the plugin.

Logs and Data:

Stats Data: /root/age_strength.json
Contains epochs lived, training epochs, total network points, handshake count, and decay progress.

Points Log: /root/network_points.log
Each handshake event granting points is recorded here with ESSID, encryption, points gained, and total points.

Support & Contributions:

Feel free to open issues or pull requests to improve this plugin or suggest new features. Enjoy leveling up your Pwnagotchi’s stats!

ADSBsniffer.py: A plugin that captures ADS-B data from aircraft using RTL-SDR and logs it. a RTL-SDR Dongle is required to run plugin

1. Connect the RTL-SDR Dongle

First, connect your RTL-SDR dongle to one of the USB ports on your Raspberry Pi (the hardware running Pwnagotchi). Ensure the dongle is properly seated and secure. 2. Access the Pwnagotchi Terminal

To configure the RTL-SDR and test rtl_adsb, you'll need to access the terminal on your Pwnagotchi. You can do this in several ways:

Directly via Keyboard and Monitor: If you have a monitor and keyboard connected to your Raspberry Pi, you can access the terminal directly.
SSH: If your Pwnagotchi is connected to your network, you can SSH into it. The default username is usually pi, and the password is raspberry, unless you've changed it. The IP address can be found on the Pwnagotchi screen or through your router's DHCP client list.

3. Install RTL-SDR Drivers and Utilities

Once you're in the terminal, you'll likely need to install the RTL-SDR drivers and the rtl_adsb utility. Pwnagotchi is based on Raspbian, so you can use apt-get to install these packages. Run the following commands:

sudo apt-get update

sudo apt-get install rtl-sdr

4. Verify RTL-SDR Dongle Recognition

After installation, verify that the RTL-SDR dongle is recognized by the system:

rtl_test

This command checks if the RTL-SDR dongle is properly recognized. You should see output indicating the detection of the dongle. If there are errors or the dongle is not detected, ensure it's properly connected or try reconnecting it.

5. Run rtl_adsb

Now, try running rtl_adsb to see if you can receive ADS-B signals:

rtl_adsb

This command starts the ADS-B reception. If your RTL-SDR is set up correctly and there are aircraft in range, you should see ADS-B messages appearing in the terminal.

Add adsbsniffer.py to /usr/local/share/pwnagotchi/installed-plugins and /usr/local/share/pwnagotchi/available-plugins

In /etc/pwnagotchi/config.toml file add:

main.plugins.adsbsniffer.enabled = true
main.plugins.adsbsniffer.timer = 60
main.plugins.adsbsniffer.aircraft_file = "/root/handshakes/adsb_aircraft.json"
main.plugins.adsbsniffer.adsb_x_coord = 120
main.plugins.adsbsniffer.adsb_y_coord = 50

Disclaimer for ADSBSniffer Plugin

The ADSBSniffer plugin ("the Plugin") is provided for educational and research purposes only. By using the Plugin, you agree to use it in a manner that is ethical, legal, and in compliance with all applicable local, state, federal, and international laws and regulations. The creators, contributors, and distributors of the Plugin are not responsible for any misuse, illegal activity, or damages that may arise from the use of the Plugin.

The Plugin is designed to capture ADS-B data from aircraft using RTL-SDR technology. It is important to understand that interfacing with ADS-B signals, aircraft communications, and related technologies may be regulated by governmental agencies. Users are solely responsible for ensuring their use of the Plugin complies with all relevant aviation and communications regulations.

The information provided by the Plugin is not guaranteed to be accurate, complete, or up-to-date. The Plugin should not be used for navigation, air traffic control, or any other activities where the accuracy and completeness of the information are critical.

The use of the Plugin to interfere with, disrupt, or intercept aircraft communications is strictly prohibited. Respect privacy and safety laws and regulations at all times when using the Plugin.

The creators of the Plugin make no warranties, express or implied, about the suitability, reliability, availability, or accuracy of the information, products, services, or related graphics contained within the Plugin for any purpose. Any reliance you place on such information is therefore strictly at your own risk.

By using the Plugin, you agree to indemnify and hold harmless the creators, contributors, and distributors of the Plugin from and against any and all claims, liabilities, damages, losses, or expenses, including legal fees and costs, arising out of or in any way connected with your access to or use of the Plugin.

This disclaimer is subject to changes and updates. Users are advised to review it periodically.

Neurolyzer Plugin: The Neurolyzer plugin introduces a significant enhancement to the Pwnagotchi platform, aiming to augment the device's stealth and privacy capabilities. Its main function is to automate the randomization of the MAC address for the designated Wi-Fi interface. This action helps make the Pwnagotchi less visible to network monitoring systems, thereby decreasing its digital footprint within the networks it scans. The plugin offers several noteworthy features:

Varied Operational Modes: It introduces different modes of operation, including a 'stealth' mode. When activated, this mode triggers periodic changes to the device's MAC address, effectively masking its identity. This is particularly useful for operating within networks that are under strict surveillance.

Adjustable MAC Address Change Interval: The plugin allows users to customize how frequently the MAC address changes, providing control over the degree of stealth based on the user's needs.

User Interface Enhancements: Leveraging Pwnagotchi's existing UI framework, the Neurolyzer plugin offers immediate visual feedback on the device's screen. It displays the current mode of operation ('stealth' or 'normal') and the time until the next MAC address change. These interface elements are adjustable, enabling users to customize their display positions as needed.

Wi-Fi Interface Customization: Users have the flexibility to define which Wi-Fi interface the plugin should manage, catering to devices with multiple or unconventional interface names.

Seamless Activation/Deactivation: The plugin assesses its activation status upon loading, based on the configured settings, and commences its functions automatically if enabled. This feature allows for a hassle-free transition to stealth mode.

Comprehensive Logging: The Neurolyzer plugin meticulously logs key events and potential errors during its operation. This aids in monitoring the plugin's performance and simplifying troubleshooting processes.

In essence, the Neurolyzer plugin significantly bolsters the Pwnagotchi's capability for stealthy operations, ensuring users can engage in ethical hacking and network exploration with an enhanced level of privacy. Through its thoughtful integration with the Pwnagotchi ecosystem, the plugin elevates the device's functionality, aligning with the objectives of privacy-conscious users and ethical hackers.

Requirements: Flask Sudo apt install macchanger

1.When installing macchanger choose no on change mac address on startup.

2.Add neurolyzer.py to /usr/local/share/pwnagotchi/custom-plugins

3.Add this to /etc/pwnagotchi/config.toml:

main.plugins.neurolyzer.enabled = true main.plugins.neurolyzer.wifi_interface = "wlan0mon" #Change this to your wireless adapter main.plugins.neurolyzer.operation_mode = "stealth" #You can choose between stealh and normal main.plugins.neurolyzer.mac_change_interval = 3600 #what interval you want you mac address to change in seconds main.plugins.neurolyzer.mode_label_x = 0 main.plugins.neurolyzer.mode_label_y = 50 # Adjust as needed main.plugins.neurolyzer.next_mac_change_label_x = 0 main.plugins.neurolyzer.next_mac_change_label_y = 60 # Adjust as needed

4.For full stealh mode change: personality.advertise = false

5.Reboot or sudo systemctl restart pwnagotchi

Neurolyzer Plugin Disclaimer

Please read this disclaimer carefully before using the Neurolyzer plugin ("Plugin") developed for the Pwnagotchi platform.

General Use: The Neurolyzer Plugin is intended for educational and research purposes only. It is designed to enhance the privacy and stealth capabilities of the Pwnagotchi device during ethical hacking and network exploration activities. The user is solely responsible for ensuring that all activities conducted with the Plugin adhere to local, state, national, and international laws and regulations.

No Illegal Use: The Plugin must not be used for illegal or unauthorized network access or data collection. The user must have explicit permission from the network owner before engaging in any activities that affect network operations or security.

Liability: The developers of the Neurolyzer Plugin, the Pwnagotchi project, and any associated parties will not be liable for any misuse of the Plugin or for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this Plugin, even if advised of the possibility of such damage.

Network Impact: Users should be aware that randomizing MAC addresses and altering device behavior can impact network operations and other users. It is the user's responsibility to ensure that their activities do not disrupt or degrade network performance and security.

Accuracy and Reliability: While efforts have been made to ensure the reliability and functionality of the Neurolyzer Plugin, the developers make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability, or availability with respect to the Plugin or the information, products, services, or related graphics contained within the Plugin for any purpose. Any reliance placed on such information is therefore strictly at the user's own risk.

Modification and Discontinuation: The developers reserve the right to modify, update, or discontinue the Plugin at any time without notice. Users are encouraged to periodically check for updates to ensure optimal performance and compliance with new regulations.

By using the Neurolyzer Plugin, you acknowledge and agree to this disclaimer. If you do not agree with these terms, you are advised not to use the Plugin.

🚀 Probenpwn Plugin - Pwnagotchi! 🚀

The Probenpwn Plugin is a more aggressive and enhanced version of the original Instattack by Sniffleupagus, now supercharged for maximum Wi-Fi handshake captures! 🔥

If you’ve used Instattack, you’ll love Probenpwn — it combines deauthentication and association attacks in one powerful tool, designed to help you capture handshakes faster and more efficiently. With the latest updates, it now features dynamic attack tuning, randomization, watchdog recovery, performance stats, and more! Key Features:

Efficient Deauthentication & Association Attacks:

Launch attacks simultaneously to capture more handshakes in less time.
Dynamic attack delay ensures you hit stronger signals faster, while giving weaker signals more time to reconnect.

Concurrent Attack Threads:

Start multiple attacks simultaneously using separate threads, enabling you to handle several networks and clients at once. Simultaneous pwnage is now within reach! 💻💥

Customizable Settings:

Control whether you use deauth or focus solely on association attacks via the config.toml.

Whitelist networks or clients to exclude them from attacks.

Capture More Handshakes:

Aggressive attack methods ensure devices reconnect faster, helping you capture more handshakes.

Comprehensive Logging:

Track every attack and handshake capture with detailed logs, giving you visibility into what’s working.

Lightweight and Easy to Use:

Fully integrated with Pwnagotchi for seamless operation in your existing setup.

What's New in Probenpwn 1.1.1:

New Features & Enhancements:

Performance Stats and Feedback Loop:

self.performance_stats: This new dictionary tracks the performance of each AP, including success and failure rates, as well as the number of attempts. This enables dynamic adjustments based on the performance of attacks against specific APs.

self.total_handshakes & self.failed_handshakes: These new counters track the total number of successful and failed handshakes across all APs, contributing to overall performance monitoring.

Dynamic Adjustments: The new adjust_attack_parameters method adjusts the aggressiveness of the attack based on the success rate:

    If the success rate is low (below 20%), the attack becomes more aggressive.
    
    If the success rate is high (above 80%), the attack aggressiveness is reduced.
    
    For moderate success rates, the current tactics are maintained.
    
Logging Success/Failure Rates: After each handshake is captured, the success and failure rates for each AP are logged. This adds valuable insight into how effectively the plugin is working against different APs.

Expanded Watchdog Functionality:

New Log Check: The watchdog now not only checks for the wlan0mon interface but also monitors the logs for the error wifi.interface not set or not found. If this error occurs, the plugin attempts to restart the Pwnagotchi service. This makes the watchdog more robust by addressing multiple failure scenarios.

Logging Improvements: When restarting the service or encountering an error, the plugin logs additional context, such as a success message after restarting the service or the error message if the restart fails.

More Aggressive Attack Tuning:

The attack_target method now includes a call to adjust_attack_parameters, which fine-tunes the attack aggressiveness based on the success rate of prior attacks. This allows the plugin to adapt its strategy in real-time based on observed performance, making it more efficient over time.

Increased Attack Frequency: For APs with low success rates, the plugin increases the number of attack attempts to try and improve the chances of a successful handshake capture.

Expanded Feedback Loop in Handshake Detection:

The on_handshake method now calculates and logs the handshake success rate (percentage of successful handshakes over total attack attempts) for each AP. This provides better visibility into how effective the attack is and helps inform the dynamic adjustments made by the plugin.

General Improvements:

Code Robustness: Additional error handling and logging for potential issues that may arise during the execution of the plugin, especially in the watchdog and during the attack execution process.

Logging Clarity: Improved logging throughout, providing more detailed feedback for debugging and monitoring the plugin's behavior in various situations.

Summary of What’s Better:

Dynamic Attack Strategy: The plugin now adjusts the aggressiveness of its attacks based on real-time performance, leading to better handling of different APs and more successful attacks.

Enhanced Logging and Feedback: The plugin logs success and failure rates for handshakes, providing clear insight into its effectiveness. The added performance stats help in tuning attack strategies over time.

Improved Robustness: The watchdog is more resilient, with checks for additional errors (e.g., missing wifi.interface) and the ability to restart the service when necessary.

Adaptability: By adjusting the attack parameters based on success rates, the plugin can adapt its behavior, making it more intelligent and resource-efficient.

Summary:

The Probenpwn plugin gives you full control over your Wi-Fi attack strategies, allowing you to:

Enable or disable the plugin as needed.

Dynamically adjust attack timing based on client signal strength.

Launch simultaneous attacks using multi-threading.

Whitelist specific networks or devices to avoid unintended targeting.

Customize attack timing and cleanup frequency via epoch duration.

Leverage your Pwnagotchi personality settings to fine-tune attack behavior.

Full Control Over Attack Strategies:

With Probenpwn, you have more control than ever over the attack process. The following parameters in your config.toml file give you full flexibility: Enabling/Disabling the Plugin:

To enable or disable Probenpwn, modify the [main.plugins.probenpwn] section:

main.plugins.probenpwn.enabled = true

Attack Timing and Delays:

Probenpwn adjusts attack delay dynamically:

main.plugins.probenpwn.associate_attack_delay = 0.2    # Base delay for association attacks
main.plugins.probenpwn.deauth_attack_delay = 0.75      # Base delay for deauthentication attacks
main.plugins.probenpwn.dynamic_delay_threshold = -60   # Signal threshold for dynamic delay adjustment

Target Whitelisting:

Exempt specific networks or clients from attacks:

main.plugins.probenpwn.whitelist = ["00:11:22:33:44:55", "TrustedNetwork"]

Epoch Duration and Recent Tracking:

Control how long attack records are retained before being automatically removed:

main.plugins.probenpwn.epoch_duration = 60  # Default value in seconds

Example config.toml Snippet:

main.plugins.probenpwn.enabled = true
main.plugins.probenpwn.associate_attack_delay = 0.2
main.plugins.probenpwn.deauth_attack_delay = 0.75
main.plugins.probenpwn.dynamic_delay_threshold = -60
main.plugins.probenpwn.epoch_duration = 60
main.plugins.probenpwn.whitelist = ["00:11:22:33:44:55", "TrustedNetwork"]

ProbeNpwn logs will up in pwnagotchi.log/pwnagotchi-debug.log as shown:

[INFO] [Thread-11] : Probed and Pwnd!

[INFO] [Thread-27 (attack_target)] : sending association frame to  (xx:xx:xx:xx:xx:xx) on channel 4 [0 clients], -60 dBm...

[INFO] [Thread-11] : Captured handshake from Hidden (xx:xx:xx:xx:xx:xx) -> 'Unknown Client' (xx:xx:xx:xx:xx:xx)()

[INFO] [Thread-27 (attack_target)] : Low success rate (0.00%) on AP xx:xx:xx:xx:xx:xx. Making attack more aggressive.

[INFO] [Thread-272 (attack_target)] : High success rate (100.00%) on AP xx:xx:xx:xx:xx:xx. Reducing attack aggressiveness.

Update Summary:

Dynamic Attack Strategy: The plugin now adjusts the aggressiveness of its attacks based on real-time performance, leading to better handling of different APs and more successful attacks.

Enhanced Logging and Feedback: The plugin logs success and failure rates for handshakes, providing clear insight into its effectiveness. The added performance stats help in tuning attack strategies over time.

Improved Robustness: The watchdog is more resilient, with checks for additional errors (e.g., missing wifi.interface) and the ability to restart the service when necessary.

Adaptability: By adjusting the attack parameters based on success rates, the plugin can adapt its behavior, making it more intelligent and resource-efficient.

Overall, this version is more intelligent and self-correcting. It can now analyze its own performance and adjust its strategies dynamically, leading to better overall efficiency and fewer failed attacks over time. It’s also more robust in dealing with errors, ensuring smoother operation in case of interface or service failures.

The plugin now includes advanced features like dynamic tuning, attack attempt tracking, a watchdog recovery system, improved logging, channel sanitization, and better error handling. These changes make the plugin more reliable, flexible, and effective in performing aggressive Wi-Fi probing and attacks.

This plugin is based on the Instattack plugin by Sniffleupagus, with significant enhancements for capturing more handshakes and optimizing attack performance. Huge thanks to Sniffleupagus for the original work! 🙏

DISCLAIMER: This software is provided for educational and research purposes only. Use of this plugin on networks or devices that you do not own or have explicit permission to test is strictly prohibited. The author(s) and contributors are not responsible for any misuse, damages, or legal consequences that may result from unauthorized or improper usage. By using this plugin, you agree to assume all risks and take full responsibility for ensuring that all applicable laws and regulations are followed.