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43 lines
1.4 KiB
Markdown
43 lines
1.4 KiB
Markdown
---
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name: analyzing-threat-landscape-with-misp
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description: >-
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Analyze the threat landscape using MISP (Malware Information Sharing Platform)
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by querying event statistics, attribute distributions, threat actor galaxy
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clusters, and tag trends over time. Uses PyMISP to pull event data, compute
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IOC type breakdowns, identify top threat actors and malware families, and
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generate threat landscape reports with temporal trends.
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domain: cybersecurity
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subdomain: threat-intelligence
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tags: [analyzing, threat, landscape, with]
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version: "1.0"
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author: mahipal
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license: MIT
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---
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## Instructions
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1. Install dependencies: `pip install pymisp`
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2. Configure MISP URL and API key.
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3. Run the agent to generate threat landscape analysis:
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- Pull event statistics by threat level and date range
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- Analyze attribute type distributions (IP, domain, hash, URL)
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- Identify top MITRE ATT&CK techniques from event tags
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- Track threat actor activity via galaxy clusters
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- Generate temporal trend analysis of IOC submissions
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```bash
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python scripts/agent.py --misp-url https://misp.local --api-key YOUR_KEY --days 90 --output landscape_report.json
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```
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## Examples
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### Threat Landscape Summary
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```
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Period: Last 90 days
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Events analyzed: 1,247
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Top threat level: High (43%)
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Top attribute type: ip-dst (31%), domain (22%), sha256 (18%)
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Top MITRE technique: T1566 Phishing (89 events)
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Top threat actor: APT28 (34 events)
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```
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