automating-ioc-enrichment

name	automating-ioc-enrichment
description	Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and standardize enrichment outputs. Use when building automated enrichment workflows integrated with SIEM alerts, email submission pipelines, or bulk IOC processing from threat feeds. Activates for requests involving SOAR enrichment, Cortex XSOAR, Splunk SOAR, TheHive, Python enrichment pipelines, or automated IOC processing.
domain	cybersecurity
subdomain	threat-intelligence
tags	["SOAR","enrichment","IOC","Cortex-XSOAR","Splunk-SOAR","VirusTotal","automation","CTI","NIST-CSF"]
version	1.0.0
author	team-cybersecurity
license	Apache-2.0
nist_csf	["ID.RA-01","ID.RA-05","DE.CM-01","DE.AE-02"]

Automating IOC Enrichment

When to Use

Use this skill when:

• Building a SOAR playbook that automatically enriches SIEM alerts with threat intelligence context before routing to analysts
• Creating a Python pipeline for bulk IOC enrichment from phishing email submissions
• Reducing analyst mean time to triage (MTTT) by pre-populating alert context with VT, Shodan, and MISP data

Do not use this skill for fully automated blocking decisions without human review — enrichment automation should inform decisions, not execute blocks autonomously for high-impact actions.

Prerequisites

• SOAR platform (Cortex XSOAR, Splunk SOAR, Tines, or n8n) or Python 3.9+ environment
• API keys: VirusTotal, AbuseIPDB, Shodan, and at minimum one TIP (MISP or OpenCTI)
• SIEM integration endpoint for alert consumption
• Rate limit budgets documented per API (VT: 4/min free, 500/min enterprise)

Workflow

Step 1: Design Enrichment Pipeline Architecture

Define the enrichment flow for each IOC type:

SIEM Alert → Extract IOCs → Classify Type → Route to enrichment functions
  IP Address → AbuseIPDB + Shodan + VirusTotal IP + MISP
  Domain → VirusTotal Domain + PassiveTotal + Shodan + MISP
  URL → URLScan.io + VirusTotal URL + Google Safe Browse
  File Hash → VirusTotal Files + MalwareBazaar + MISP
→ Aggregate results → Calculate confidence score → Update alert → Notify analyst

Step 2: Implement Python Enrichment Functions

import requests
import time
from dataclasses import dataclass, field
from typing import Optional

RATE_LIMIT_DELAY = 0.25  # 4 requests/second for VT free tier

@dataclass
class EnrichmentResult:
    ioc_value: str
    ioc_type: str
    vt_malicious: int = 0
    vt_total: int = 0
    abuse_confidence: int = 0
    shodan_ports: list = field(default_factory=)
    misp_events:  = field(default_factory=)
    confidence_score:  = 

 () -> EnrichmentResult:
    result = EnrichmentResult(ip, )

    
    vt_resp = requests.get(
        ,
        headers={: vt_key}
    )
     vt_resp.status_code == :
        stats = vt_resp.json()[][][]
        result.vt_malicious = stats.get(, )
        result.vt_total = (stats.values())

    time.sleep(RATE_LIMIT_DELAY)

    
    abuse_resp = requests.get(
        ,
        headers={: abuse_key, : },
        params={: ip, : }
    )
     abuse_resp.status_code == :
        result.abuse_confidence = abuse_resp.json()[][]

    
    result.confidence_score = (
        (result.vt_malicious / (result.vt_total, )) *  +
        (result.abuse_confidence / ) * , 
    )

     result

 () -> EnrichmentResult:
    result = EnrichmentResult(sha256, )
    vt_resp = requests.get(
        ,
        headers={: vt_key}
    )
     vt_resp.status_code == :
        stats = vt_resp.json()[][][]
        result.vt_malicious = stats.get(, )
        result.vt_total = (stats.values())
        result.confidence_score = ((result.vt_malicious / (result.vt_total, )) * )
     result