AirKommander Wi-Fi Signal Scanner
(AK-47)

Version: 4.7
Author: K0NxT3D
Download: Unavailable

Overview

The AirKommander Wi-Fi Signal Scanner is a Python script that detects and logs nearby Wi-Fi networks and their associated devices. It provides real-time information about the signal strength, IP addresses, and statuses of detected devices. The script utilizes the Scapy library for packet sniffing and the Pyfiglet library for ASCII art display.

Functionality

  1. Packet Sniffing:
    • Captures 802.11 (Wi-Fi) packets in real-time to identify available networks and devices.
    • Extracts details such as SSID, MAC address, signal strength (in dBm), and IP addresses (via ARP requests).
  2. Device Status:
    • Classifies devices as “active” or “inactive” based on their last seen time.
    • Displays device information in color-coded format, indicating signal strength (higher is better) and inactive status in blue.
  3. Logging:
    • Creates a timestamped log file in a dedicated “logs” directory.
    • Logs include SSID, MAC address, IP address, signal strength, and device status.
  4. Visual Output:
    • The script presents a splash screen and uses ANSI color codes to enhance terminal output readability.

How It Works

  • Initialization: Clears the screen, displays a splash screen, and sets up the required libraries.
  • Wi-Fi Scanning:
    • Continuously listens for Wi-Fi packets using Scapy.
    • For each detected device, it checks if it is new or has been seen before, updating its status accordingly.
  • Inactive Device Check: Periodically checks for devices that have not been seen for a specified timeout period and marks them as inactive.
  • Data Display: Displays real-time device information with color-coded output based on signal strength.

Potential Uses and Applications

  • Network Analysis: Useful for network administrators to monitor nearby Wi-Fi networks and their signal strengths.
  • Security Auditing: Can help in assessing the security of local networks by identifying unauthorized devices.
  • Signal Mapping: Assists in visualizing Wi-Fi coverage and signal strength in a specific area.
  • Educational Tool: A practical example for learning about network packet analysis and Python programming.

Tracking Vehicles and Targets Using Signal Detection

Overview

The AK-47 Wi-Fi Signal Scanner script is primarily designed to monitor and log Wi-Fi signals in real time. However, its underlying technology and methodology can be adapted for tracking various targets, including vehicles, using different signal types such as RF, Loran, military frequencies, private communications, and aviation signals.

Applications

  1. Vehicle Tracking:
    • By utilizing signal detection, the script can identify and log the presence of vehicles equipped with Wi-Fi or RF communication devices.
    • Each detected vehicle emits specific signal patterns that can be analyzed to determine its location and movement.
  2. Diverse Signal Types:
    • The script’s methodology can extend beyond Wi-Fi to monitor various frequencies:
      • RF Signals: Used in many vehicles for communication and telemetry.
      • Loran Signals: Ground-based navigation systems can be tracked for maritime or aerial vehicles.
      • Military and Aviation Frequencies: Detecting these signals can provide information on troop movements, aircraft activities, and operational deployments.
  3. Proximity Alerts:
    • The script can be enhanced to include proximity alerts based on signal strength and presence. When a vehicle approaches within a specified range, an alert can be triggered.
    • This can be critical in battlefield scenarios for notifying personnel of incoming vehicles or threats.

Expanding the Grid

The scalability of this system is a significant advantage in larger operations, such as a battlefield or military theater:

  1. Distributed Sensor Network:
    • By deploying multiple instances of the script across a geographic area, a comprehensive grid can be established to monitor various signal types.
    • Each scanner can feed data into a centralized system for real-time analysis, ensuring no signal goes undetected.
  2. Integration with Other Technologies:
    • Combining the script with advanced signal processing tools can enhance detection capabilities. For instance, integrating with machine learning algorithms can improve the identification of signal patterns from different vehicles or sources.
    • This setup can also include drones or unmanned aerial vehicles (UAVs) equipped with signal detection hardware, further expanding coverage.
  3. Real-Time Data Sharing:
    • With a network of scanners, data can be shared across units, enabling a real-time understanding of the operational environment.
    • This collaboration can lead to better strategic decisions, improved situational awareness, and faster response times to potential threats.
  4. Mapping and Visualization:
    • Utilizing GIS (Geographic Information Systems) technology can help visualize the detected signals on a map. This allows for easier identification of patterns, movement trajectories, and potential hotspots for monitoring.
  5. Exponential Growth:
    • As more devices are added to the network, the grid can expand exponentially. Each new scanner increases the overall monitoring capability, making it possible to cover vast areas efficiently.
    • This capability is crucial for military operations, where the need for real-time intelligence and monitoring is paramount.

The AK-47 script can serve as a foundational tool for tracking vehicles and other targets using various signals. By implementing this technology on a larger scale, military and operational units can create a robust monitoring system that enhances situational awareness and operational effectiveness in dynamic environments.