building-threat-intelligence-platform

Building Threat Intelligence Platform

Overview

Building a Threat Intelligence Platform (TIP) involves deploying and integrating multiple CTI tools into a unified system for collecting, analyzing, enriching, and disseminating threat intelligence. This skill covers designing TIP architecture using open-source tools (MISP, OpenCTI, TheHive, Cortex), configuring feed ingestion pipelines, establishing enrichment workflows, implementing STIX/TAXII interoperability, and building analyst dashboards for CTI operations.

Prerequisites

• Docker and Docker Compose for deploying platform components
• Python 3.9+ with pymisp, pycti, thehive4py libraries
• Elasticsearch/OpenSearch cluster for data storage
• Redis and RabbitMQ for message queuing
• Understanding of STIX 2.1 data model and TAXII 2.1 transport
• API keys for enrichment services (VirusTotal, Shodan, AbuseIPDB)

Key Concepts

TIP Architecture Components

1. Collection Layer: Feed ingestion from OSINT, commercial, and internal sources
2. Storage Layer: Elasticsearch/OpenSearch for indexed CTI data with STIX 2.1 schema
3. Analysis Layer: OpenCTI for knowledge graph analysis and MISP for IOC correlation
4. Enrichment Layer: Cortex analyzers for automated IOC enrichment
5. Response Layer: TheHive for case management and incident response integration
6. Sharing Layer: TAXII server for outbound intelligence sharing

Platform Integration Points

• MISP <-> OpenCTI: Bidirectional sync via OpenCTI MISP connector
• OpenCTI <-> TheHive: Alert/case creation from high-confidence indicators
• TheHive <-> Cortex: Automated analysis and enrichment of case observables
• All <-> SIEM: Real-time IOC push to Splunk/Elastic via API or Kafka

Practical Steps

Step 1: Deploy Platform with Docker Compose

version: '3.8'
services:
  # --- Storage Layer ---
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:8.12.0
    environment:
      - discovery.type=single-node
      - xpack.security.enabled=false
      - "ES_JAVA_OPTS=-Xms2g -Xmx2g"
    ports:
      - "9200:9200"
    volumes:
      - es-data:/usr/share/elasticsearch/data

  redis:
    image: redis:7
    ports:
      - "6379:6379"

  rabbitmq:
    image: rabbitmq:3-management
    ports:
      - "5672:5672"
      - "15672:15672"

  minio:
    image: minio/minio
    command: server /data --console-address ":9001"
    ports:
      - "9000:9000"
      - "9001:9001"

  # --- MISP ---
  misp:
    image: ghcr.io/misp/misp-docker/misp-core:latest
    ports:
      - "8443:443"
    environment:
      - [email protected]
      - MISP_BASEURL=https://localhost:8443
    volumes:
      - misp-data:/var/www/MISP/app/files

  # --- OpenCTI ---
  opencti:
    image: opencti/platform:6.4.4
    environment:
      - APP__PORT=8080
      - [email protected]
      - APP__ADMIN__PASSWORD=TIPAdminPassword
      - APP__ADMIN__TOKEN=tip-opencti-token-uuid
      - ELASTICSEARCH__URL=http://elasticsearch:9200
      - MINIO__ENDPOINT=minio
      - RABBITMQ__HOSTNAME=rabbitmq
      - REDIS__HOSTNAME=redis
    ports:
      - "8080:8080"
    depends_on:
      - elasticsearch
      - redis
      - rabbitmq
      - minio

  # --- TheHive ---
  thehive:
    image: strangebee/thehive:5.3
    environment:
      - TH_CORTEX_URL=http://cortex:9001
    ports:
      - "9000:9000"
    depends_on:
      - elasticsearch

  # --- Cortex ---
  cortex:
    image: thehiveproject/cortex:3.1.8
    ports:
      - "9001:9001"
    depends_on:
      - elasticsearch

volumes:
  es-data:
  misp-data: