Performing Ioc Enrichment Automation

Performing Ioc Enrichment Automation

Overview

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

When to Use

Trigger phrases:

• "performing ioc enrichment automation"
• "SOC analysts need to quickly enrich IOCs from multiple sources during alert tria"
• "High alert volumes require automated enrichment to reduce manual lookup time"
• "Incident investigations need comprehensive IOC context for scope assessment"

Use this skill when:

• SOC analysts need to quickly enrich IOCs from multiple sources during alert triage
• High alert volumes require automated enrichment to reduce manual lookup time
• Incident investigations need comprehensive IOC context for scope assessment
• SOAR playbooks require enrichment actions as part of automated triage workflows

Do not use for bulk blocking decisions without analyst review — enrichment provides context, not definitive malicious/benign determination.

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

• API keys: VirusTotal (free or premium), AbuseIPDB, Shodan, URLScan.io, GreyNoise
• Python 3.8+ with requests, vt-py, shodan libraries
• MISP instance or TIP for cross-referencing organizational intelligence
• SOAR platform (optional) for workflow integration
• Rate limit awareness: VT free (4 req/min), AbuseIPDB (1000/day), Shodan (1 req/sec)

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. Plan Operations — Define objectives, scope, and success criteria for ioc enrichment automation operations.
2. Prepare Environment — Set up tools, access, and data sources required for ioc enrichment automation.
3. Execute Core Workflow — Perform the ioc enrichment automation operations following established procedures.
4. Validate Results — Verify that results meet quality standards and objectives.
5. Report Findings — Document results, observations, and recommendations.
6. Follow Up — Track remediation actions and verify fixes where applicable.

Tools

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

Process

1. Design — Define interface, identify patterns, plan implementation
2. Implement — Write code following existing conventions, add tests
3. Verify — Run tests, check integration, validate behavior

Verification

• All ioc enrichment automation 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