Uses Cuckoo Sandbox and a trained SVM classifier to accurately detect ransomware samples.

Monitoramento de Processos / Monitoramento de Arquivos / Encerramento de Processos Suspeitos

Ransomware Detection using Honeypots and File Entropy Analysis

RansomPyShield is a Tool to detect Ransomware with Honeypot Technique , Yara Rules , and other stuff using Python

AntiRansonPy é desenvolvido em Python. É um projeto de sistema de monitoramento e prevenção de ransomware.

Ferramenta de detecção anti-ransomware

Datasets for CRAMP Model

Basic ransomware detection

Our goal is to extract and educate a version capable of reconstructing malware as flawlessly as possible using auto-encoders and to identify the ransomware an additional layer is present to classify whether it is an ransomware or not.

Python file encrypter. Test your ransomware detection tooling.

A suspicious activity detector for Synology NAS.

Antiransomware with hybrid malware analysis.

A classification model to detect whether the bitcoin transaction is a ransomware attack or not.

Bitcoin Blockchain Clustering Analysis for Ransomware Detection

Functional Ransomware programmed in python and a Ransomware detector based on files modifications. Bachelor thesis with a grade of 9.7 over 10

A.Nezamisafa

Autoencoder & Variational Autoencoder for data augmentation and checking data authenticity with ML models.

Ransomware focused Sysmon configuration file template with default high-quality event tracing

senhasegura Identity Threat Labs is a premier threat intelligence center specializing in predictive analysis of identity-focused attack vectors. Using reverse engineering, malware analysis, and threat intelligence, our lab identifies emerging threats and provides actionable reports to help organizations strengthen defenses and mitigate risks.

Ransom-cover is an integrated solution designed for detecting ransom-ware, decrypting infected files and preventing future ransom-ware infections on your PC.