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🗝️ 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.
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.
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.
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.
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.
ShadowParse is a high-fidelity PCAP forensics engine designed for automated deep packet inspection and cryptographic discovery. Developed to streamline CTF investigations and network traffic analysis, it features the DeepRead Integration for recursive decoding of obfuscated payloads.
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.