DGA Domain Detection using Bigram Frequency Analysis

Peer to Peer botnet host and traffic detection from network dumps

Historic archive of preserved botnet data

Collection of scripts that utilize Twitter API for suspicious behavior analysis

Free botnet threat intel

Bot detection test environment and tool to obtain characteristics for the detection of bots

A modular framework for botnet detectors prototyping and evaluation

MONDEO - Multistage Botnet detection tool

combating the llm fomo, feeding the shiny object syndrome, for folly and partially for curiousity

Lightweight honeypot that gathers and recognizes UDP & TCP packets.

Fake Malware Bots

This Python script provides a sophisticated botnet detection system that leverages signature-based detection, machine learning algorithms, behavioral analysis, and traffic profiling to identify potential botnet activity in real-time. It also includes advanced alerting capabilities and integration with IP reputation services and SIEM for DETECTION!

Network Sniffer 🌐 : Un analyseur de paquets en Python pour détecter les comportements suspects et les attaques sur les réseaux locaux.

Intrusion Detection System that uses Machine Learning to detect Botnet Traffic.

Graph-topology-based botnet C2 node detection on CTU-13. LightGBM + LOFO cross-family evaluation. One Strong result (Donbot 0.872)

Smart Shield: AI-Powered Real-Time Threat Intelligence System is an advanced cybersecurity solution designed to detect and prevent botnet attacks using Machine Learning techniques. The system analyzes network traffic data in real time and identifies malicious patterns with high accuracy.

Botrecon is a simple command line tool that can help you secure your network from botnets.

Phát hiện tên miền độc hại sinh ra bởi thuật toán (DGA - Domain Generation Algorithms) sử dụng học máy.

Master's Thesis: Privacy-preserving botnet detection using federated learning with PyTorch and PySyft. Analyzes network traffic patterns across distributed nodes without centralizing sensitive data. Research conducted at Kennesaw State University CCSE Data Science Lab.

Malware Detection using ML classification