ransomware-dectection

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.

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.

GHR Hacks 2.0

A Python-based ransomware detection and prevention tool that monitors file system activity for suspicious behavior patterns.

Ransomware detection dataset with function call graphs (FCG) for real-time malware family classification using deep learning and machine learning.

Kavach-R: Real time ransomware detection with continuous monitoring, anomalous file activity detection using ML (risk score) & blocks them.

Mini Zero Trust ransomware resilience prototype featuring real-time monitoring, behavioral detection, automated containment, backup recovery, and threat reporting.

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.

For educational and cybersecurity purposes.

Automated ransomware detection and incident response using Wazuh SIEM, Python event correlation and automated endpoint isolation.

AI-Based Real-Time Ransomware Detection using Shannon Entropy + ML | 100% accuracy | Flask Dashboard

Threat hunting and detection engineering project focused on Akira ransomware tradecraft, ATT&CK mapping, telemetry analysis, and behavioral Sigma rule development.

Rilevamento ransomware su sistemi Windows con notifica su Telegram/Gotify/Popup

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.

ZTA based Ransomware containment

랜섬웨어 분석 PoC: 복호화 시도 및 파일 시스템 탐지 프로그램

Malware Detection Using Deep Learning Models