/Threat-intelligence-Platform

The Thread Intelligence Platform for Windows is a cybersecurity tool specializing in endpoint and malware detection. It uses MD5, SHA hashes, heuristic analysis, PE Header inspection, and YARA rules for effective threat detection, with real-time monitoring and customizable blocking capabilities for efficient network management.

Primary LanguagePythonMIT LicenseMIT

Thread Intelligence Platform for Windows

Overview

The Thread Intelligence Platform for Windows is a high-performance, Endpoint detection with Malware setection with MD5 and SHA hashes included with heurestic detection and also using the PE HEader analysis , YARA RUles based analysis , scalable network monitoring and cybersecurity tool designed to handle large volumes of network traffic efficiently , Custom IP , port , url , domain and subdomin Block . Utilizing advanced multithreading techniques, this platform ensures real-time monitoring, analysis, and threat detection without compromising on performance. And still under developement !! will be updated regularly.

Features

High Performance: Leverages multithreading to handle numerous network connections simultaneously, ensuring responsive and efficient processing.

Real-Time Monitoring: Captures and analyzes network traffic in real-time, providing immediate insights and alerts.

Scalable Architecture: Designed to scale with increasing network load, making it suitable for both small and large network environments.

Enhanced Security: Incorporates robust threat detection mechanisms to identify and mitigate potential cybersecurity threats.

User-Friendly Interface: Intuitive interface allowing users to interact with the platform seamlessly while it processes network data in the background.

Comprehensive Logging: Detailed logging and monitoring for tracking performance and diagnosing issues.

Exploit suggestor: Which will suggest to patch the vulnerability and misconfiguration within the system being exploited.

More Concept Will be Updated Soon !!

Under Developement stage more updated will add later stay Tuned !!

Contributing

We welcome contributions to enhance the platform's functionality and performance. To contribute, please fork the repository, create a new branch for your feature or bug fix, and submit a pull request for review.

Authors

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MIT License GPLv3 License AGPL License