mcp-hayabusa

mcp-hayabusa

Enables Windows event log forensics by wrapping Hayabusa, offering EVTX scanning, Sigma rule exploration, ATT&CK coverage analysis, and detection engineering resources.

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README

mcp-hayabusa

This repo is my working space for Modules 3 & 4 — MCP Hayabusa in AI Cyber Defense Ops, a Just Hacking Training (JHT) course offered by Women in CyberSecurity (WiCyS) and taught by Anton Ovrutsky. All modules found in the ai-defense-labs repo at https://github.com/SBecraft/ai-defense-labs

The course centers on the Claude ecosystem — Claude Code and Claude Desktop — rather than treating AI as a single chat model bolted onto existing tools. Claude Code in particular behaves more like a productivity suite than a model: it ships with Hooks, Skills, Slash Commands, MCP support, and session/context management, and the course is built around learning how to compose those pieces into real detection engineering and threat intel workflows.

An MCP (Model Context Protocol) server that wraps Hayabusa — a Windows event log fast-forensics timeline generator — for EVTX analysis, and doubles as a small detection engineering knowledge base.

What it exposes

Three tools:

  • scan_evtx — runs Hayabusa against an EVTX file and returns structured JSON findings, filterable by severity and rule title. Scans the curated custom_rules/ set.
  • get_hayabusa_rules — lists the ~5000 Sigma rules Hayabusa ships with, optionally filtered by keyword.
  • analyze_coverage — given an ATT&CK technique ID or tactic name, reports which techniques the curated rules cover, partially cover, or leave as gaps.

Four resources, under the detection:// URI scheme:

  • detection://rules — index of the curated Sigma rules
  • detection://rules/{rule_name} — a rule's raw YAML
  • detection://rules/by-technique/{technique_id} — rules tagged with an ATT&CK technique
  • detection://attack/techniques/{technique_id} — technique detail plus a coverage verdict

Stack

  • Python 3, the mcp library (stdio transport), pydantic, pyyaml
  • Hayabusa CLI, downloaded as a prebuilt binary and invoked as a subprocess

Running

python scripts/download_hayabusa.py      # fetch the Hayabusa binary
python scripts/download_attack_data.py   # fetch the MITRE ATT&CK STIX bundle
pip install -r requirements.txt
python tests/test_scan_evtx.py           # manual smoke test

The server is normally launched by an MCP client via .mcp.json rather than run directly. The Hayabusa binary and ATT&CK data are fetched per-machine and gitignored; custom_rules/ is authored content and checked in.

A Note on Placeholders

This is public coursework, so anything that pointed at my local machine or personal accounts has been replaced with generic placeholders:

Placeholder Stands for
$HOME the home directory this repo was developed in
C:\Users\<username> the Windows user profile (Claude Desktop config lives here)
<repo-path> / <old-repo-path> this repo's absolute path on disk

Commits are authored under a GitHub noreply address rather than a personal email. If you clone this, substitute your own paths — the placeholder paths are documentation, not working config, and nothing is meant to run against them as written.

The hostnames, IPs, domains, accounts, and incident write-ups here are synthetic lab data. The insecurebank.local domain in environment/, the INC-2024-* case files in investigations/, and the scenarios in playbooks/ describe a fictional environment built for the coursework — they do not correspond to any real network, organization, or incident. Sample EVTX files in tests/samples/ come from the public EVTX-ATTACK-SAMPLES repo.

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