name: analyzing-threat-landscape-with-misp description: Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends. Use when asked to analyze threat intelligence data, summarize top threat actors or malware families, or produce a CTI landscape report from MISP events. domain: cybersecurity subdomain: threat-intelligence tags:

• threat-intelligence
• misp
• threat-landscape
• ioc-analysis
• cti
• threat-sharing version: '1.0' author: mahipal license: Apache-2.0 d3fend_techniques:
• File Metadata Consistency Validation
• Application Protocol Command Analysis
• Identifier Analysis
• Content Format Conversion
• Message Analysis nist_csf:
• ID.RA-01
• ID.RA-05
• DE.CM-01
• DE.AE-02 mitre_attack:
• T1566
• T1071.001
• T1568
• T1583.001
• T1102

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)