pcap-analysis

🗝️ The Voidweaver's Trail: Season 1 Investigation Reports for Echo Response. Uncovering hidden identities and securing the Nullform Key across the Cyber Realm via advanced forensics and cryptanalysis.

应急响应流量分析工具，支持pcap、excel、log等多种数据源，同时结合加解密、反编译等多个常用工作流。

ICS/OT cybersecurity scanner — Modbus, S7Comm & DNP3. Passive PCAP analysis + safe read-only Modbus scans. JSON/HTML reports + executive dashboards.

C2 Framework Fingerprinter: identifies Cobalt Strike, Metasploit, Sliver, Havoc, Covenant, Brute Ratel from PCAP traffic using beacon analysis, URI patterns, JA3, and HTTP headers

Analysis and Visualization of network traffic from data centres based on trace.pcap file.

DFIR & IT-Forensik System: Ganzheitliche Analyse von Speicherdumps, Registrierungsdateien und PCAP-Netzwerkdaten zur schnellen Aufklärung von Sicherheitsvorfällen (Incident Response).

Python network forensics tool that detects C2 beaconing, port scans, data exfiltration, DNS tunneling, and 20+ threat patterns in PCAP files. Behavioral analysis for the encrypted traffic era. Every finding maps to MITRE ATT&CK.

AirSentinel is a Python-based cross-platform tool with a PyQt5 GUI for live Wi-Fi scanning and offline PCAP analysis. It detects network details, assigns risk levels, and exports results in JSON, Markdown, or PDF, making it valuable for cybersecurity research and testing.

HTTP PCAP analysis using Wireshark, NetworkMiner and IP geolocation to investigate network traffic behaviour

I do not know what I am doing yet! But it is my research!

Network Traffic Analysis using Wireshark to detect Redline Stealer C2 communications. Includes PCAP analysis, IOCs, and incident report.

GREP for PCAP files

Sniffing network traffic with Python for real-time or PCAP analysis.

A command-line companion for in-depth network traffic analysis, enabling security insights and statistical overview from PCAP files.

Benchmark code and interactive results for autonomous network-attack detection by tool-using LLM agents investigating raw PCAPs.

Professional VoIP diagnostic tool - Analyzes PCAP files and detects one-way audio, NAT issues, call quality problems

🛡️ Enhance network security with AEGIS-Ω, a hybrid intrusion detection system that combines signature and anomaly detection using advanced deep learning methods.

A comprehensive web application for replaying network packet capture (PCAP) files using tcpreplay. Built with React frontend, Flask backend, and fully containerized with Docker.

A powerful, multi-threaded password cracking tool written in Go with support for multiple hash types, PCAP analysis, and custom transformation rules.

A high-performance cybersecurity system benchmarking SQLi/XSS detection (99.9% accuracy on CICIDS2017) and featuring a custom Docker-based stress testing pipeline for real-world validation.