AI powered Ransomware and malware detection & network security Analysis prevention of Man-in-the-middle attack powered by AI threat explainer
-
Updated
Apr 19, 2026 - Python
AI powered Ransomware and malware detection & network security Analysis prevention of Man-in-the-middle attack powered by AI threat explainer
Cybersecurity Threats & Vulnerabilities Guide is a comprehensive educational resource that provides detailed documentation, detection scripts, and prevention strategies for various cybersecurity threats.
🦅 ZeroScout: The Autonomous Local & Cloud Threat Hunter. Visualize attacks in a live War Room, identify APT groups via Genetic Analysis, and auto-generate defense rules (YARA/SIGMA). DFIR & Malware Analysis Framework.
A high-fidelity, educational cybersecurity sandbox for simulating ransomware attacks and deploying multi-layered Défense mechanisms in a safe, controlled environment.
GHR Hacks 2.0
AI-powered ransomware threat intelligence platform. Monitor 300+ leak sites, track 24,000+ victims, and analyze threat actors with real-time dark web scraping and ML-based enrichment.
A Python-based ransomware detection and prevention tool that monitors file system activity for suspicious behavior patterns.
Kavach-R: Real time ransomware detection with continuous monitoring, anomalous file activity detection using ML (risk score) & blocks them.
AFRINTEL est une initiative de veille collaborative dédiée aux cybermenaces ciblant le continent africain. Le projet collecte, analyse et documente les incidents ransomware affectant les organisations africaines, en s'appuyant sur l'observation directe des sites de fuite sur le dark web.
Mini Zero Trust ransomware resilience prototype featuring real-time monitoring, behavioral detection, automated containment, backup recovery, and threat reporting.
A trapfile-based ransomware detection solution for Linux
AI-Based Real-Time Ransomware Detection using Shannon Entropy + ML | 100% accuracy | Flask Dashboard
Modular Linux security agent for real-time threat detection, network anomaly monitoring, and automated reporting. Built in Python for professionals who prefer control, not noise.
ZTA based Ransomware containment
A project under the Course of Software Architecture and Design Pattern, to analyse a given sample and classify it into 10 categories of possible attack using Machine Learning models like RandomForest and XG.
랜섬웨어 분석 PoC: 복호화 시도 및 파일 시스템 탐지 프로그램
🛡️ Monitor and protect your Linux system with SentinelPy, a modular security agent for real-time threat detection and response.
Add a description, image, and links to the ransomware-dectection topic page so that developers can more easily learn about it.
To associate your repository with the ransomware-dectection topic, visit your repo's landing page and select "manage topics."