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🚨 SpySnare – Advanced Spy Camera & Hidden Device Detector

SpySnare is a multi-layer security application built with Flutter, designed to help users detect hidden spy cameras and suspicious electronic devices using Wi-Fi scanning, optical lens detection, and magnetometer-based electronic field analysis.

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🔍 Features

🛜 1. Wi-Fi Network Scan

• Scans local subnet to find connected devices.
• Checks for common spy-camera ports like 80, 8080, 554.
• Attempts to fetch device titles from HTTP responses.
• Logs all detected hosts to the unified report.

📸 2. Optical Camera Lens Detection

• Uses device camera to detect reflective hotspots (potential hidden lenses).
• Real-time hotspot overlay on camera preview.
• Works best in dim or dark environments.

🧲 3. Magnetometer Scan

• Monitors magnetic field intensity.
• Calibrate baseline & visualize real-time spikes.
• Detects hidden electronics, small transmitters, or powered devices.

📝 4. Unified Scan Report

• Logs all findings from Wi-Fi, Optical, and Magnetometer scans.
• Export results as JSON for documentation.
• Completely offline — no data leaves the device.

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🗂 Project Structure

lib/
 ├── main.dart
 ├── core/
 │    ├── models/
 │    │     ├── finding.dart
 │    │     └── report_model.dart
 │    └── services/
 │          ├── wifi_service.dart
 │          ├── optical_service.dart
 │          └── magnetometer_service.dart
 ├── pages/
 │    ├── wifi/
 │    │     └── wifi_scan_page.dart
 │    ├── optical/
 │    │     ├── optical_detection_page.dart
 │    │     ├── hotspot_painter.dart
 │    │     └── optical_service.dart
 │    ├── magnetometer/
 │    │     ├── magnetometer_page.dart
 │    │     └── sparkline_painter.dart
 │    └── report/
 │          ├── report_page.dart
 │          └── report_exporter.dart
 └── utils/
       └── helpers.dart

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📦 Installation

Clone the repository

git clone https://github.com/yourusername/SpySnare.git
cd SpySnare

Install dependencies

flutter pub get

Run the app

flutter run

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🔐 Permissions Required

The app uses:

• Camera Access – Optical lens detection
• Location Access – Wi-Fi scanning (required by Android)
• Storage Access – Exporting reports

All data is processed locally on-device.

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🛠 Technologies Used

• Flutter (Dart)
• camera package
• network_info_plus
• sensors_plus
• permission_handler
• image for pixel analysis

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📄 Exported Report Format (JSON)

{
  "generated_at": "2025-01-02T12:00:00Z",
  "findings": [
    {
      "type": "wifi",
      "message": "Device at 192.168.1.10 with open ports [80, 554]",
      "data": { "ip": "192.168.1.10", "open_ports": [80, 554] },
      "timestamp": "2025-01-02T12:00:05Z"
    }
  ]
}

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📘 Usage Tips

• Optical detection works best in dark environments.
• Move your phone slowly while scanning the room.
• For magnetometer scanning, watch for sharp spikes above baseline.
• Combine all three modes for highest accuracy.

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🤝 Contributing

Contributions are welcome! Feel free to submit issues, suggestions, or pull requests.

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📜 License

This project is licensed under the MIT License — free to use and modify.

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