Warning lists to inform users of MISP about potential false-positives or other information in indicators
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Updated
Jul 19, 2025 - Python
Warning lists to inform users of MISP about potential false-positives or other information in indicators
CyberScan: Network's Forensics ToolKit
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.
Hands-On Network Forensics by Nipun Jaswal
The goal of this project is to help researchers/investigaters to export the decrypted TLS content into a PCAP
Program for static analysis of pcap files and recreation of information sent
Hunt sql commands in pcap
passive device fingerprinting api for network intrustion detection
DuskToDawn is a stealth-focused OSINT tool that gathers web intelligence anonymously using the Tor network and IP rotation.
This repository contains various scripts that can be used to obtain information about IP addresses and MAC addresses.
Detection modules for 802.11 and Ethernet timing analysis using frame.time_epoch, clustering, and ML-based anomaly detection. Built for passive network behavior analysis.
Filter background traffic from capture files
This project leverages Software-Defined Networking (SDN) principles to monitor, detect, and respond to network traffic anomalies in real-time.
A novel DFIR framework developed using the Django, a web framework of Python, integrated directly with the ONOS controller via REST APIs. The framework enables real-time flow monitoring, entropy-based anomaly detection, and evidence extraction through a centralized dashboard interface.
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