Automating Ioc Enrichment

Automating Ioc Enrichment

Overview

Cybersecurity skill for automating ioc enrichment. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "automating ioc enrichment"
• "Automates the enrichment of raw indicators of compromise with multi-source threa"

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.

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

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

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Define Objectives — Clarify the goals and scope for ioc enrichment.
2. Gather Resources — Collect tools, data, and access needed for ioc enrichment.
3. Execute Process — Carry out ioc enrichment operations methodically.
4. Verify Quality — Check results against acceptance criteria.
5. Document Outcomes — Record findings, decisions, and next steps.

Tools

• Analysis Platform — Data processing and visualization
• Collaboration Tools — Team coordination and knowledge sharing

Process

1. Prepare — Gather requirements, verify prerequisites, set up environment
2. Execute — Run automating ioc enrichment workflow with configured parameters
3. Verify — Validate output meets requirements, document results

Verification

• All ioc enrichment procedures executed completely and documented
• Findings validated against multiple data sources
• False positives identified and filtered
• Results documented with evidence and timestamps
• Recommendations provided with risk-based prioritization

Anti-Rationalization Table