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.

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

RedBug is an educational ransomware program developed in C#. It is intended strictly for research and learning purposes. This project recreates a custom RedBug style graphical user interface and theme, helping users understand file encryption basics and how such techniques are used in controlled environments safely.

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

For educational and cybersecurity purposes.

A trapfile-based ransomware detection solution for Linux

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

A data science project for detecting Bitcoin ransomware using machine learning techniques — built as part of Entri Data Science course.

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

랜섬웨어 분석 PoC: 복호화 시도 및 파일 시스템 탐지 프로그램

Malware Detection Using Deep Learning Models

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

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.

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.

🛡️ Monitor and protect your Linux system with SentinelPy, a modular security agent for real-time threat detection and response.