AGENT SKILL

building-ioc-enrichment-pipeline-with-opencti

OpenCTI is an open-source platform for managing cyber threat intelligence knowledge, built on STIX 2.1 as its native data model. This skill covers building an automated IOC enrichment pipeline using O

使用场景运维与部署
License 许可
Apache-2.0
最近更新
2026-05-06
Stars
★ 14
Forks
2

01 前言 Front Matter

name
building-ioc-enrichment-pipeline-with-opencti
tags
[ "threat-intelligence", "cti", "ioc", "mitre-attack", "stix", "opencti", "enrichment", "virustotal" ]
author
mahipal
domain
cybersecurity
license
Apache-2.0
version
1.0
subdomain
threat-intelligence
description
OpenCTI is an open-source platform for managing cyber threat intelligence knowledge, built on STIX 2.1 as its native data model. This skill covers building an automated IOC enrichment pipeline using O

02 资源文件 7

03 SKILL.md 正文

Building IOC Enrichment Pipeline with OpenCTI

Overview

OpenCTI is an open-source platform for managing cyber threat intelligence knowledge, built on STIX 2.1 as its native data model. This skill covers building an automated IOC enrichment pipeline using OpenCTI's connector ecosystem to enrich indicators with context from VirusTotal, Shodan, AbuseIPDB, GreyNoise, and other sources. The pipeline automatically enriches newly ingested indicators, correlates them with known threat actors and campaigns, and scores them for analyst prioritization.

When to Use

  • When deploying or configuring building ioc enrichment pipeline with opencti capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Docker and Docker Compose for OpenCTI deployment
  • Python 3.9+ with pycti library
  • API keys for enrichment services: VirusTotal, Shodan, AbuseIPDB, GreyNoise
  • Understanding of STIX 2.1 data model and relationships
  • ElasticSearch or OpenSearch for OpenCTI backend
  • RabbitMQ or Redis for connector messaging

Key Concepts

OpenCTI Architecture

OpenCTI uses a GraphQL API frontend backed by ElasticSearch for storage and Redis/RabbitMQ for connector communication. Data is natively stored as STIX 2.1 objects with relationships. Connectors are categorized as: External Import (feed ingestion), Internal Import (file parsing), Internal Enrichment (context addition), and Stream (real-time export).

Enrichment Connector Model

Internal enrichment connectors are triggered automatically when new observables are created or manually by analysts. Each connector receives STIX objects, queries external services, and returns STIX 2.1 bundles that augment the original observable with additional context, labels, and relationships.

Confidence Scoring

OpenCTI uses a 0-100 confidence scale for indicators. Enrichment connectors can update confidence scores based on external validation: VirusTotal detection ratios, Shodan exposure data, AbuseIPDB report counts, and GreyNoise classification results.

Workflow

Step 1: Deploy OpenCTI with Docker Compose

# docker-compose.yml (key services)
version: '3'
services:
  opencti:
    image: opencti/platform:6.4.4
    environment:
      - APP__PORT=8080
      - APP__ADMIN__EMAIL=admin@opencti.io
      - APP__ADMIN__PASSWORD=ChangeMeNow
      - APP__ADMIN__TOKEN=your-admin-token-uuid
      - ELASTICSEARCH__URL=http://elasticsearch:9200
      - MINIO__ENDPOINT=minio
      - RABBITMQ__HOSTNAME=rabbitmq
    ports:
      - "8080:8080"
    depends_on:
      - elasticsearch
      - minio
      - rabbitmq
      - redis

  connector-virustotal:
    image: opencti/connector-virustotal:6.4.4
    environment:
      - OPENCTI_URL=http://opencti:8080
      - OPENCTI_TOKEN=your-admin-token-uuid
      - CONNECTOR_ID=connector-virustotal-id
      - CONNECTOR_NAME=VirusTotal
      - CONNECTOR_SCOPE=StixFile,Artifact,IPv4-Addr,Domain-Name,Url
      - CONNECTOR_AUTO=true
      - VIRUSTOTAL_TOKEN=your-vt-api-key
      - VIRUSTOTAL_MAX_TLP=TLP:AMBER

  connector-shodan:
    image: opencti/connector-shodan:6.4.4
    environment:
      - OPENCTI_URL=http://opencti:8080
      - OPENCTI_TOKEN=your-admin-token-uuid
      - CONNECTOR_ID=connector-shodan-id
      - CONNECTOR_NAME=Shodan
      - CONNECTOR_SCOPE=IPv4-Addr
      - CONNECTOR_AUTO=true
      - SHODAN_TOKEN=your-shodan-api-key
      - SHODAN_MAX_TLP=TLP:AMBER

  connector-abuseipdb:
    image: opencti/connector-abuseipdb:6.4.4
    environment:
      - OPENCTI_URL=http://opencti:8080
      - OPENCTI_TOKEN=your-admin-token-uuid
      - CONNECTOR_ID=connector-abuseipdb-id
      - CONNECTOR_NAME=AbuseIPDB
      - CONNECTOR_SCOPE=IPv4-Addr
      - CONNECTOR_AUTO=true
      - ABUSEIPDB_API_KEY=your-abuseipdb-key

Step 2: Build Custom Enrichment Connector

import os
from pycti import OpenCTIConnectorHelper, get_config_variable
from stix2 import (
    Bundle, Indicator, Note, Relationship,
    IPv4Address, DomainName
)
import requests


class CustomEnrichmentConnector:
    def __init__(self):
        config = {
            "opencti": {
                "url": os.environ.get("OPENCTI_URL"),
                "token": os.environ.get("OPENCTI_TOKEN"),
            },
            "connector": {
                "id": os.environ.get("CONNECTOR_ID"),
                "name": "CustomEnrichment",
                "scope": "IPv4-Addr,Domain-Name,Url",
                "auto": True,
                "type": "INTERNAL_ENRICHMENT",
            },
        }
        self.helper = OpenCTIConnectorHelper(config)
        self.helper.listen(self._process_message)

    def _process_message(self, data):
        entity_id = data["entity_id"]
        stix_object = self.helper.api.stix_cyber_observable.read(id=entity_id)

        if not stix_object:
            return "Observable not found"

        observable_type = stix_object["entity_type"]
        observable_value = stix_object.get("value", "")

        enrichment_results = []

        if observable_type == "IPv4-Addr":
            enrichment_results = self._enrich_ip(observable_value, entity_id)
        elif observable_type == "Domain-Name":
            enrichment_results = self._enrich_domain(observable_value, entity_id)

        if enrichment_results:
            bundle = Bundle(objects=enrichment_results, allow_custom=True)
            self.helper.send_stix2_bundle(bundle.serialize())

        return "Enrichment completed"

    def _enrich_ip(self, ip_address, entity_id):
        """Enrich IP address with GreyNoise, AbuseIPDB context."""
        objects = []

        # GreyNoise Community API
        try:
            gn_response = requests.get(
                f"https://api.greynoise.io/v3/community/{ip_address}",
                headers={"key": os.environ.get("GREYNOISE_API_KEY")},
                timeout=30,
            )
            if gn_response.status_code == 200:
                gn_data = gn_response.json()
                classification = gn_data.get("classification", "unknown")
                noise = gn_data.get("noise", False)
                riot = gn_data.get("riot", False)

                note_content = (
                    f"## GreyNoise Enrichment\n"
                    f"- Classification: {classification}\n"
                    f"- Internet Noise: {noise}\n"
                    f"- RIOT (Benign Service): {riot}\n"
                    f"- Name: {gn_data.get('name', 'N/A')}\n"
                    f"- Last Seen: {gn_data.get('last_seen', 'N/A')}"
                )

                note = Note(
                    content=note_content,
                    object_refs=[entity_id],
                    abstract=f"GreyNoise: {classification}",
                    allow_custom=True,
                )
                objects.append(note)

                # Add labels based on classification
                if classification == "malicious":
                    self.helper.api.stix_cyber_observable.add_label(
                        id=entity_id, label_name="greynoise:malicious"
                    )
                elif riot:
                    self.helper.api.stix_cyber_observable.add_label(
                        id=entity_id, label_name="greynoise:benign-service"
                    )

        except Exception as e:
            self.helper.log_error(f"GreyNoise enrichment failed: {e}")

        return objects

    def _enrich_domain(self, domain, entity_id):
        """Enrich domain with WHOIS and DNS context."""
        objects = []

        try:
            # Use SecurityTrails API for domain enrichment
            st_response = requests.get(
                f"https://api.securitytrails.com/v1/domain/{domain}",
                headers={"APIKEY": os.environ.get("SECURITYTRAILS_API_KEY")},
                timeout=30,
            )
            if st_response.status_code == 200:
                st_data = st_response.json()
                current_dns = st_data.get("current_dns", {})

                a_records = [
                    r.get("ip") for r in current_dns.get("a", {}).get("values", [])
                ]

                note_content = (
                    f"## SecurityTrails Enrichment\n"
                    f"- A Records: {', '.join(a_records)}\n"
                    f"- Alexa Rank: {st_data.get('alexa_rank', 'N/A')}\n"
                    f"- Hostname: {st_data.get('hostname', 'N/A')}"
                )

                note = Note(
                    content=note_content,
                    object_refs=[entity_id],
                    abstract=f"SecurityTrails: {domain}",
                    allow_custom=True,
                )
                objects.append(note)

        except Exception as e:
            self.helper.log_error(f"SecurityTrails enrichment failed: {e}")

        return objects


if __name__ == "__main__":
    connector = CustomEnrichmentConnector()

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