RansomwareSim is a simulated ransomware
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Updated
May 31, 2024 - Python
RansomwareSim is a simulated ransomware
🐝 Ransomware Detection using Machine Learning with eBPF for Linux.
DGA Domain Detection using Bigram Frequency Analysis
A Deep Learning ensemble that classifies Windows executable files as either benign, ransomware, or other malware.
Anti-Ransomware to mitigate and neutralize Ryuk Threat.
🎁 Blocks browser-based crypto mining, cryptojacking, banking and crypto malware, infostealers, phishing websites, malicious apps and hackers command-and-control (C2) servers.
Ransomware example on Python, created during containment for educational purposes
This repo is created to perform I/O Request Packet (IRP) driven ransomware analysis where the IRP logs were collected during ransomware execution.
Anti-ransomware software for Linux that uses a file system events monitor, dynamic honeypots and the Linux audit service to detect and stop ransomware activity. This is a college project.
Educational ransomware for evaluating ransomware detection tools
This repo is created to perform data mining techniques on malicious and benign I/O Request Packet (IRP) logs on Windows machine to extract useful pieces of information to build a ransomware detection scheme.
This is the source code of real RansomWare but and it's commented not to harm your device
Ransomware Traces Scanner: a file system scanner to find ransomware's manifest files or crypted files
Ransomware Detection Project, Technion, Israel
Ransomware Detection and Mitigation in Software-Defined Networking
Project to identify ransomware actor from given ransomware message
Antiransomware with hybrid malware analysis.
Functional Ransomware programmed in python and a Ransomware detector based on files modifications. Bachelor thesis with a grade of 9.7 over 10
Monitoramento de Processos / Monitoramento de Arquivos / Encerramento de Processos Suspeitos
Ransomware Detection using Honeypots and File Entropy Analysis
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