Hiryu
A visualization tool for threat analysis that organizes APT campaign information and visualizes relations of IOC.
Hiryu
A visualization tool for threat analysis that organizes APT campaign information and visualizes relations of IOC.
Hiryu Description
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>', } }
Hiryu FAQ
Common questions about Hiryu including features, pricing, alternatives, and user reviews.
Hiryu is A visualization tool for threat analysis that organizes APT campaign information and visualizes relations of IOC.. It is a Threat Management solution designed to help security teams with Neo4j, Threat Analysis, Visualization.
