Hiryu Logo

Hiryu

0
Free
Visit Website

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

yarAnalyzer creates statistics on a yara rule set and files in a sample directory, generating tables and CSV files, including an inventory feature.

Search engine for Windows executable files and hashes, providing insights into file prevalence, behavior, and security information.

Repository of automatically generated YARA rules from Malpedia's YARA-Signator with detailed statistics.

An extendable tool to extract and aggregate IOCs from threat feeds, integrates with ThreatKB and MISP.

InSights by InQuest is a threat intelligence platform that delivers curated feeds of IOCs and C2 information to help security teams detect and respond to emerging threats.

A threat intelligence dissemination layer for open-source security tools with STIX-2 support and plugin-based architecture.

YARA signature and IOC database for LOKI and THOR Lite scanners with high quality rules and IOCs.

Proof-of-concept implementation of TAXII services for developers and non-developers.

PINNED