powerful opensource network management and observability platform
The Network Traffic Analyzer is a Python script designed for capturing and analyzing network traffic, focusing primarily on DNS traffic. This tool provides users with the capability to monitor network activity in real-time and extract relevant information from captured packets.
This is a simple network monitoring tool written in Python. It pings the specified hosts continuously and provides real-time latency, success rate, jitter, and other details in a neatly formatted table.
A comprehensive ethical hacking tool for network and system monitoring including screenshot capture, keylogging, camera access, and user location tracking. Designed for authorized cybersecurity assessments and penetration testing.
The Network Traffic Analyzer is a Python script designed for capturing and analyzing network traffic, focusing primarily on DNS traffic. This tool provides users with the capability to monitor network activity in real-time and extract relevant information from captured packets.
a network monitoring tool that keeps track of internet speed and devices on the LAN.
A powerful educational network packet sniffer with monitor and promiscuous mode support for wired and wireless interfaces. Developed for CS-4061 Ethical Hacking Concepts & Practices.
A C# Project to simulate a network monitoring system. I have added polling, pinging and capturing(trap) functionalities of SNMP
Network monitoring system to see what's flying around your network without your knowledge
NMS Lite: Backend & Plugin Engine
A bridge that connects VPP (Vector Packet Processing) interfaces with Wireshark, enabling real-time packet capture and analysis. Supports remote monitoring via UDP and Unix sockets with a Wireshark extcap interface.
This simple software is designed for a very basic low-level subnet monitoring
The Real-Time Network Monitor is a desktop application for real-time network traffic analysis. It leverages Scapy to capture packets and provides detailed insights and visualizations for effective monitoring and threat detection.
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