/building-ioc-enrichment-pipeline-with-opencti
Build an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native
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Build an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native
SKILL.md
building-ioc-enrichment-pipeline-with-opencti.SKILL.mdname: building-ioc-enrichment-pipeline-with-opencti
description: Build an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native
threat intel platform) using its internal enrichment connectors to pull context
from VirusTotal, Shodan, AbuseIPDB, and GreyNoise, correlate indicators with known
actors/campaigns, and score them for analyst prioritization. Use when deploying
OpenCTI or automating enrichment and confidence scoring of newly ingested indicators.
domain: cybersecurity
subdomain: threat-intelligence
tags:
- threat-intelligence
- cti
- ioc
- mitre-attack
- stix
- opencti
- enrichment
- virustotal
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- ID.RA-01
- ID.RA-05
- DE.CM-01
- DE.AE-02
mitre_attack:
- T1071.001
- T1583.001
- T1105
- T1590.005
- T1588.001
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-keyStep 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 = []Read more
name: building-ioc-enrichment-pipeline-with-opencti description: Build an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native threat intel platform) using its internal enrichment connectors to pull context from VirusTotal, Shodan, AbuseIPDB, and GreyNoise, correlate indicators with known actors/campaigns, and score them for analyst prioritization. Use when deploying OpenCTI or automating enrichment and confidence scoring of newly ingested indicators. domain: cybersecurity subdomain: threat-intelligence tags: - threat-intelligence - cti - ioc - mitre-attack - stix - opencti - enrichment - virustotal version: '1.0' author: mahipal license: Apache-2.0 nist_csf: - ID.RA-01 - ID.RA-05 - DE.CM-01 - DE.AE-02 mitre_attack: - T1071.001 - T1583.001 - T1105 - T1590.005 - T1588.001
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-keyStep 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 = []817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
Repo: mukul975/Anthropic-Cybersecurity-Skills
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