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packet-analysis

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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.

  • Updated Sep 26, 2025
  • Python

A collection of 10 network security tools using Scapy for traffic analysis, penetration testing, and network manipulation. Ideal for cybersecurity professionals and enthusiasts.

  • Updated Oct 20, 2024
  • Python

Captures & Analyses live network traffic in real time to detect suspicious activities using rule-based, MITRE-mapped, and machine-learning techniques.

  • Updated Feb 22, 2026
  • Python
Z-Shark

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.

  • Updated Feb 15, 2026
  • Python

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.

  • Updated Jul 27, 2025
  • Python

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.

  • Updated Jan 8, 2024
  • Python

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