Binary data diffing for multiple objects or streams of data
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Updated
Feb 12, 2023 - Python
Binary data diffing for multiple objects or streams of data
Python-based Comprehensive Network Packet Analysis Library
Easy to use DDoS mitigation with real-time traffic analysis, automatic attack pattern detection, IP blocking via iptables/blackhole routing, and Discord alerts. Detects and mitigates network floods, reflection attacks, and protocol abuse.
Wireshark-MCP,Give your AI assistant a packet analyzer. Drop a .pcap file, ask questions in plain English — get answers backed by real tshark data.
Meshtastic SDR Analyzer & Desktop GUI. A tool to analyze the meshtastic network graphically with a simple sdr.
A collection of 10 network security tools using Scapy for traffic analysis, penetration testing, and network manipulation. Ideal for cybersecurity professionals and enthusiasts.
Captures & Analyses live network traffic in real time to detect suspicious activities using rule-based, MITRE-mapped, and machine-learning techniques.
is a powerful PoC for performing a Man-in-the-Middle (MITM) attack to intercept and analyze HTTP and SSL/TLS traffic
A Python-based network packet analyzer using Scapy
Blue Protocol Star Resonance player and developer focused toolkit - packet analysis, data extraction, and game research utilities for BPSR.
Multicast Sequence Decoder
Modbus Attack Tool for Remote Industrial eXploitation (M.A.T.R.I.X) is a comprehensive security testing tool for Modbus TCP protocol implementations.
Network Hound is a network packet sniffer that captures and analyzes network packets on a given interface.
Comprehensive security testing framework for Model Context Protocol (MCP) servers. Automated vulnerability detection with Docker isolation, network traffic analysis, and AI-powered threat assessment.
Z-Shark is a high-performance, CLI-first network forensics platform designed for advanced anomaly detection. Leveraging mathematical models such as Fast Fourier Transform (FFT), Shannon Entropy, and Z-Score statistical profiling, it uncovers hidden threats like C2 beaconing, DGA, and low-and-slow DDoS attacks in PCAP traffic.
A lightweight Python tool for OS fingerprinting using TCP/IP header analysis. Detects likely operating systems by examining TTL, TCP window size, DF flag, and ToS from SYN-ACK responses. Ideal for network reconnaissance and educational use.
IP Address Investigation and WHOIS Intelligence
This project simulates basic Nmap functionalities with a custom server and client application. It allows users to perform network operations such as pinging hosts, scanning open ports, and measuring response times, simulating real-world network monitoring tasks.
Machine learning-enhanced DNS tunneling detection system achieving 100% accuracy across multiple tunneling tools
This Network Security defense systems acts as an indicator against SMP Floods, UDP Floods, ICMP Floods. This model is trained using packets from wireshark and can easily differentiate between normal network traffic and traffic that has been targetted on the machine by an attacker using the rate of packets transfer and using the source IP.
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