Agent Skills: Analyzing Threat Landscape with MISP

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UncategorizedID: plurigrid/asi/analyzing-threat-landscape-with-misp

Install this agent skill to your local

pnpm dlx add-skill https://github.com/plurigrid/asi/tree/HEAD/plugins/asi/skills/analyzing-threat-landscape-with-misp

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plugins/asi/skills/analyzing-threat-landscape-with-misp/SKILL.md

Skill Metadata

Name
analyzing-threat-landscape-with-misp
Description
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Analyzing Threat Landscape with MISP

When to Use

  • When investigating security incidents that require analyzing threat landscape with misp
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Familiarity with threat intelligence concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

  1. Install dependencies: pip install pymisp
  2. Configure MISP URL and API key.
  3. Run the agent to generate threat landscape analysis:
    • Pull event statistics by threat level and date range
    • Analyze attribute type distributions (IP, domain, hash, URL)
    • Identify top MITRE ATT&CK techniques from event tags
    • Track threat actor activity via galaxy clusters
    • Generate temporal trend analysis of IOC submissions
python scripts/agent.py --misp-url https://misp.local --api-key YOUR_KEY --days 90 --output landscape_report.json

Examples

Threat Landscape Summary

Period: Last 90 days
Events analyzed: 1,247
Top threat level: High (43%)
Top attribute type: ip-dst (31%), domain (22%), sha256 (18%)
Top MITRE technique: T1566 Phishing (89 events)
Top threat actor: APT28 (34 events)