github.com/AlienMajik/SnoopR @v3

                                                                     # SnoopR



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SnoopR is a Python-based tool designed for network security professionals and enthusiasts. It detects Wi-Fi and Bluetooth devices captured by Kismet and also utilizes a GPS adapter to track device locations over time (known as "Snoopers"). The tool provides insights into the movement of these devices and maps Wi-Fi attacks logged by Kismet. Features:

🚀 Exciting Snoopr Updates Are Here! 🕵️‍♂️✨

We're thrilled to announce the latest enhancements to Snoopr, your go-to tool for comprehensive device monitoring and snooping detection. Check out what's new:

📝 New Snoopr Log

Automatically generates detailed logs after each script run for better tracking and analysis.

🚗 TPMS Snoopers

Now detects Tire Pressure Monitoring Systems (TPMS) to keep an eye on vehicle-related devices.

✈️ Airplane Snoopers

Introducing Airplane Detection: Snoopr now identifies and monitors airplanes using ADS-B (Automatic Dependent Surveillance-Broadcast) data. Track aircraft movements in real-time and visualize them seamlessly on your interactive map!
Enhanced Mapping: Airplanes are represented with distinct plane icons and blue markers, making it easy to differentiate them from other devices.
Detailed Popups: Click on an airplane marker to view essential information such as flight ID, altitude, speed, and last seen time.

🥚 Easter Egg Default Coordinates

If no valid location data is found, Snoopr gracefully defaults to our hidden Easter egg coordinates! 🗺️🔍

🔧 All New Features Include:

Custom Drone Detection: Easily edit/add your own drone SSIDs or MAC address prefixes (OUIs) to stay ahead of new drone models.
Enhanced Map Layers: Choose between Snoopers, Alerts, Devices, and now Airplanes layers for a tailored visualization experience.
Customizable Snooper Detection: Modify the detect_snoopers(device_detections, movement_threshold=0.05) function to suit your specific needs and thresholds.

📍 How to Customize:

Add New Drone SSIDs or MAC Prefixes:
    Open SnoopR.py.
    Locate known_drone_ssids or known_drone_mac_prefixes lists.
    Add your desired SSIDs or MAC prefixes to these lists.

Choose Map Layers:
    In the visualization section, select your preferred layers (Snoopers, Alerts, Devices, Airplanes) to display on the interactive map.

Edit Snooper Detection Threshold:
    Find the detect_snoopers function in SnoopR.py.
    Adjust the movement_threshold parameter to your preferred value.

🔌 Required Adapter:

You need 2 seperate RTL-SDR Dongles to detect ADSB and T