DDOS-Sniffer is an advanced network security tool developed by MelonFYI LTD. It detects and alerts you to malicious traffic on your PC. It leverages packet sniffing techniques and includes features such as anomaly detection, traffic analysis, and more to enhance your network security. DDOS-Sniffer is provided as a free product to promote network security and protect users from potential threats.
- Malicious Traffic Detection: The program monitors network traffic and detects malicious traffic based on defined criteria.
- Toast Notification: When malicious traffic is detected, a toast notification is displayed on your Windows system.
- Anomaly Detection: Anomaly detection techniques are employed to identify traffic patterns that deviate from normal behavior.
- Traffic Analysis: Deep analysis of network traffic including payload inspection, protocol analysis, and behavior profiling.
- Rate Limiting: The program applies rate limiting to prevent excessive traffic from a single source.
- Traffic Filtering: Suspicious traffic is filtered based on defined rules to prevent damage.
- Anomaly Alerts: Alerts are raised when anomalous traffic patterns are detected.
- Graphical User Interface: The program now features a user-friendly GUI built with Tkinter.
To get started with DDOS-Sniffer, follow these steps:
- Clone the repository
- Install the required dependencies:
pip install -r requirements.txt - Run the program:
python malicious_traffic_detector.py - The program will start sniffing network traffic and display toast notifications for any detected malicious traffic.
This project is licensed under the MIT License.
Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.
- Version 1.0 (Initial Release)
- Malicious traffic detection
- Toast notifications for detected malicious traffic
- Anomaly detection
- Traffic analysis
- Rate limiting
- Traffic filtering
- Graphical User Interface
Future updates and planned features for DDOS-Sniffer include:
- Blacklisting of known malicious IP addresses or ranges
- Whitelisting of trusted IP addresses or ranges
- Advanced anomaly detection techniques
- Real-time monitoring dashboard
- Traffic diversion mechanisms
If you have any feedback, questions, or need support, please feel free to contact us at support@melon.fyi
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