GEARZ Attack Graph | Visual Recon Learning Lab

GEARZ Attack Graph is a self-directed, cyberpunk-styled reconnaissance learning prototype. It explores a visual way to connect target setup, attack-surface mapping, and an integrated Security Assistant for authorized security research.

The project started from a practical barrier: cybersecurity training can be expensive. The goal was to create an approachable learning interface for exploring reconnaissance concepts and how network assets connect.

A Target Acquisition dashboard leads into a Tactical Map with categorized nodes, target-analysis summaries, and a Security Assistant. Dark panels, cyan and orange accents, and graph imagery give the lab a consistent cyberpunk presentation.

The archived screenshots show the intended flow:

Enter an authorized target domain and review the AI-provider configuration.

Use the scan control to begin the intended reconnaissance workflow.

Explore the Tactical Map using domain, subdomain, IP-node, and service filters, with zoom controls.

Review target summaries and consult the Security Assistant alongside the graph.

This case study documents the original prototype interface and historical displayed output. It does not independently establish scanning accuracy, actual vulnerabilities, AI reliability, or production readiness. The lab is intended for ethical learning and authorized research only. The original Replit demo is currently unavailable.

Replit for the prototype. The original dashboard shows Hugging Face as an AI-provider option; the screenshots do not verify the underlying integration or model behavior.

Original project post: GEARZ Attack Graph on Contra

Original video walkthrough: GEARZ Attack Graph demonstration