This repository is a curated collection of cybersecurity-related open source tools and contributions I've created or collaborated on. These tools focus on adversarial AI, OSINT, synthetic content detection, and graph database discovery.
🔍 GraFScaN
Role: Creator & Developer
A Python tool designed to help red teams discover and fingerprint graph databases (e.g., Neo4j, JanusGraph).
Useful in reconnaissance and vulnerability assessments involving graph-based systems.
Role: Creator & Developer
A project combining Machine Learning and confusable character domains (e.g., homoglyphs). Helps in understanding domain obfuscation attacks used in phishing or impersonation.
🕵️♂️ SpyScrap
Role: Developer
A platform to analyze your digital fingerprint online using OSINT techniques, browser fingerprinting, and facial recognition. Focused on privacy awareness and attack surface analysis.
Role: Maintainer
A curated list of useful resources that cover Offensive AI.
Role: Co-Creator
A curated list of tools, papers, and resources focused on the generation and detection of synthetic content. Valuable for researchers and defenders in the synthetic media space.
Role: Co-Creator
A tool for detecting fake faces in videos sourced from URLs or local files. Uses models evolved from FaceForensics++ and targets videos created with DeepFakes, FaceSwap, or Face2Face.
- Python, TensorFlow, OpenCV
- OSINT & Browser Fingerprinting
- Machine Learning & Deep Learning
- Cybersecurity & Adversarial ML
- Graph Database Protocols
These projects reflect a passion for applied research in cybersecurity and AI. Contributions, issues, and forks are welcome!