Malcom - Malware Communications Analyzer
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Updated
Nov 29, 2017 - Python
Malcom - Malware Communications Analyzer
Monitor Network Traffic Per Executable, Beautifully Visualized
Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.
DynamiteNSM is a free Network Security Monitor developed by Dynamite Analytics to enable network visibility and advanced cyber threat detection
using deep learning to classify the encrypted network traffic
Yet Another Sniffer for monitoring network traffic
analyze a web-based network traffic 🕶 to detect central command and control servers
A configurable rule-based labeling tool for network flow files.
Integrating CNN-LSTM Networks with Statistical Filtering Techniques for Optimizing IoT Intrusion Detection
Simulates upload traffic for servers, particularly useful for Iranian data centers, using speedtest.net servers. Includes setup as a Linux service.
Pcap-analyzer to automate the process of finding malicious domains that interracted with a specific IP-Victim
Transform your online presence with advanced traffic obfuscation script! Seamlessly mimic diverse and legitimate browsing patterns using randomization. Protect your privacy and obscure your actual web traffic effortlessly and effectively.
📦 Convert PCAP network capture files to CSV format for easy analysis and reporting! 📊
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
A mitmproxy-based toolkit for capturing and mocking Android/iOS network traffic, with automation scripts for cert installation and dynamic proxy control.
CSNet 23 - A generalizable approach for network flow image representation for deep learning
Predict the future of your network using the best time series ML model that fit with your traffic.
Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.
Manager for multiple instances of tcpdump allowing custom report generation.
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