https://github.com/morningstarxcdcode/steg-attack-prevention-tool-2025
Advanced steganography attack prevention tool using machine learning, real-time camera scanning, social media image analysis, and a user-friendly GUI to detect and alert users about hidden messages in images. Perfect for security enthusiasts and interview submissions.
https://github.com/morningstarxcdcode/steg-attack-prevention-tool-2025
Last synced: 3 months ago
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Advanced steganography attack prevention tool using machine learning, real-time camera scanning, social media image analysis, and a user-friendly GUI to detect and alert users about hidden messages in images. Perfect for security enthusiasts and interview submissions.
- Host: GitHub
- URL: https://github.com/morningstarxcdcode/steg-attack-prevention-tool-2025
- Owner: morningstarxcdcode
- License: mit
- Created: 2025-05-02T06:44:08.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-07-13T05:24:03.000Z (12 months ago)
- Last Synced: 2025-07-13T07:27:33.365Z (12 months ago)
- Language: Python
- Size: 35.2 KB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Steganography Attack Prevention Tool 2025
Welcome to the Steganography Attack Prevention Tool, a cutting-edge security solution designed to protect your devices and online presence from hidden steganography attacks.
---
## Features
- **Real-time Camera Capture & Scan:** Continuously monitors your device's camera feed to detect suspicious steganography patterns in images.
- **Advanced Steganography Detection:** Uses machine learning models analyzing multiple image channels for accurate detection.
- **Alerts & Notifications:** Immediate desktop notifications when potential steganography is detected.
- **Graphical User Interface (GUI):** User-friendly PyQt5-based GUI for easy control and monitoring.
- **Social Media Image Scanning:** Fetches and scans images from social media platforms to prevent hidden data leaks.
- **Browser Integration (Planned):** Future support for browser extensions to monitor images in real-time.
- **Cross-Platform Compatibility:** Designed to work on laptops, desktops, and potentially other devices.
---
## Installation
### Prerequisites
- Python 3.8 or higher
- Camera device connected to your system
### Install Dependencies
```bash
pip install -r requirements.txt
```
---
## Usage
### Command Line Interface
Run the tool to start real-time camera capture and scanning:
```bash
python main.py
```
Press `q` to quit the camera feed.
### Graphical User Interface
Run the GUI application:
```bash
python gui.py
```
Use the buttons to start and stop camera scanning. Alerts will be shown in the log area and as desktop notifications.
---
python gui.py
python main.py
pip install -r requirements.txt
## Permissions Required
- **Camera Access:** The tool requires permission to access your device's camera to capture images for scanning.
- **Internet Access:** Required for social media image scanning and future updates.
---
## How It Works
The tool captures frames from your camera and analyzes the least significant bits (LSB) across RGB channels using a machine learning model to detect hidden messages. It also supports scanning images fetched from social media URLs. Alerts are provided via desktop notifications and GUI logs.
---
## Visuals & Animations
Welcome to the fun zone! Here are some hilarious GIFs to keep you entertained while you secure your devices:
*Note: This README is now packed with colorful animations and images related to steganography and security.*
Stay alert, stay safe!
---
## Contribution
Contributions are welcome! Feel free to fork the repository and submit pull requests.
---
## Interview Submission Suitability
This project is designed to showcase advanced skills in Python programming, machine learning, image processing, real-time system design, and GUI development. It includes:
- Modular and clean code structure.
- Machine learning integration for advanced detection.
- Real-time camera scanning with alerts.
- Social media image scanning capabilities.
- User-friendly GUI interface.
- Comprehensive documentation and testing.
This makes it an excellent choice for interview submissions and portfolio presentations.
---
## License
MIT License
python gui.py
python main.py
pip install -r requirements.txt