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.

It was developed to speed up the processes of SOC Analysts during analysis

A collection of awesome software, libraries, documents, books, resources and cool stuff about cybersecurity packet capture (PCAP) tools.

Template for building a packet sniffer

A set of PCAPs used to test the parsers used by Malcolm. Also, a curated list of PCAP collections I've found online.

A CLI tool for creating network covert channels within .pcap files.

PCAP to Mermaid file parser

A simple parser written in python to quickly get ports and connections related to a specific HOST from a PCAP file

Extract network features from pcap files using python pyshark and storing them in SQL LITE DB

Pcapsecret injects a secret message into a packet capture (pcap) file.

Allows for extracting information from PCAP files, as well as detecting malicious traffic

Basic library for converting PCAP files into JSON files. Idea is that ML code is already well suited for parsing JSON, so make it easier to feed a PCAP to ML code.

A Man on the Side network attack tool written in Python 👾 ⚔ 💻 (2019)

An automated Pcap Analysis tool which produces an interactive graph with details like ISP info and maliciousness of the actor/IP

Python Packet Sniffer

A port scanner is a program that automatically detects security weaknesses in a remote or localhost. When hackers attack a site, they often try each port in turn to see which are available and not blocked by a firewall or TCP wrapper. This scan can be recognized by a series of packets from one host to another in a short period of time. Port scan…

Command line tool for packet filtering and manipulation using scapy

Automation tool designed to simplify the analysis of PCAP (Packet Capture) files

This simple script allows to download, automatically, pcaps file in the site Malware Traffic Analisys