Skill15.5k repo starsupdated 12d ago

analyzing-threat-landscape-with-misp

This Claude Code skill integrates with MISP (Malware Information Sharing Platform) to analyze threat landscapes by aggregating event statistics, attribute distributions, MITRE ATT&CK technique mappings, and threat actor activity patterns. Use it when security operations center analysts need structured threat intelligence analysis, require detection rule validation, or must track temporal trends in indicators of compromise across a specified timeframe.

View source Repository: Anthropic-Cybersecurity-Skills

Install in Claude Code

Copy

git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills /tmp/analyzing-threat-landscape-with-misp && cp -r /tmp/analyzing-threat-landscape-with-misp/skills/analyzing-threat-landscape-with-misp ~/.claude/skills/analyzing-threat-landscape-with-misp

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

# 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

```bash
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)
```