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Projects & experiments

Tools, labs, and proofs of concept I built to study problems up close. These are personal projects, with no commercial goal.

  • $ h4kfi

    Wireless pentest framework built for AI agents. Scanning, handshake and PMKID capture, WPS attacks, and cracking are exposed over MCP, so the agent runs the authorized test from a plain-language request.

    • #python
    • #mcp
    • #ai-agents
    • #aircrack-ng
    ↗ github
  • $ ArgusScan

    Python CLI for recon in ethical pentests. It uses the Shodan API and generates reports in formats that are useful day to day.

    • #python
    • #shodan
    • #cli
    ↗ github
  • $ DDoS Detection Simulator

    DDoS detection simulator with machine learning, tied to my master's research on the application layer.

    • #python
    • #machine-learning
    ↗ github
  • $ Malicious Traffic Detection

    Malicious traffic detection system with machine learning, built as part of my master's research.

    • #python
    • #machine-learning
    • #research
    ↗ github
  • $ Monitoring Lab

    Observability lab: the same operations in Go and Spring Boot, with metrics in Prometheus and dashboards in Grafana.

    • #go
    • #spring-boot
    • #prometheus
    • #grafana
    ↗ github