Hiryu
Hiryu is a visualization tool for threat analysis that organizes APT campaign information and visualizes relations of IOC. It can store mostly schemaless node and relation on local DB, and can use Neo4j GraphDB as backend. Quick Start: Requirements: Redis Neo4j (Optional): confirmed version 3.4.7 works Set up virtualenv and install python packages. Create Django Project and Install Hiryu: 1) Add 'Hiryu' to INSTALLED_APPS as follows: INSTALLED_APPS = [ ... 'Hiryu', ] 2) Edit DATABASES (e.g. postgresql) DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'NAME': '<DB name>', 'USER': '<DB user>', 'PASSWORD': '<DB password>', } }
FEATURES
ALTERNATIVES
![Windows EVTX Samples [200 EVTX examples] Logo](/_next/image?url=https%3A%2F%2Fkcjlih8bwjd7vpzd.public.blob.vercel-storage.com%2Fgithub-pNnWZrsWcngjHtgmLcqC9TLc5g3tJS.webp&w=64&q=75){kind=small}
Container of 200 Windows EVTX samples for testing detection scripts and training on DFIR.
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