🗝️ 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.

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

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

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

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.

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

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

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.

GREP for PCAP files

Machine learning-enhanced DNS tunneling detection system achieving 100% accuracy across multiple tunneling tools

PCAP-based analysis of CryptoLocker and Word-Dropper malware samples using Wireshark and REMnux. Focus on DNS, HTTP, and TLS artifacts to identify adversary behavior and exfiltration attempts.

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.

IP statistics from PCAP files

AEGIS-Omega is a high-performance, hybrid multi-layer Intrusion Detection System (IDS). It features a 4-layer detection strategy—Signature Analysis, Autoencoder Anomaly Detection, BiLSTM Deep Learning, and Ensemble Fusion—to identify attack types with 95% F1-score. Includes a FastAPI backend, React dashboard, and PCAP,Netflow analysis.

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

Demonstrating a man-in-the-middle (MITM) attack using ARP spoofing on three Kali Linux VMs in VirtualBox. The attacker (Kali 1) intercepts ping traffic between two victims (Kali 2 and Kali 3) with Ettercap, captures it with Wireshark, and analyzes the PCAP to verify redirection.

A lightweight packet analyzer tool featuring a user-friendly GUI interface using Npcap and wxWidgets.

Detecting covert C2 traffic in a malicious PCAP using Zeek and Wireshark.

AI-Powered Anomaly Detection System for Network Security. Features a real-time data pipeline for raw PCAP traffic and ML models (Decision Tree, Random Forest, TensorFlow MLP) for detecting attacks.