analyzing-threat-landscape-with-misp
Lets your agent analyze threat data in a MISP platform. It summarizes information about malicious actors and trends for reports.
What it does
This tool helps understand digital security threats. It analyzes data from a platform called MISP to show which types of attacks are most common, who the main attackers are, and how threats change over time.
When to use it
- ✓When you need to understand the most important current security threats.
- ✓When creating rules to detect attacks or hunt for suspicious activity.
- ✓When security analysts need an organized summary of threats.
Example of what to ask your AI
“Analyze threats from the last 30 days and tell me the most frequent attack types and the main hacker groups.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool connects to a threat database (MISP) and counts how often certain types of information (like IP addresses or malicious website names) appear. It also identifies the most common attacks and the groups responsible, generating a report.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-mispOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/analyzing-threat-landscape-with-misp/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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
- Install dependencies:
pip install pymisp - Configure MISP URL and API key.
- 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)
FAQ
What is MISP?
MISP is a platform used to share information about digital security threats.
What are IOCs?
IOCs (Indicators of Compromise) are clues that help identify malicious activities, such as IP addresses, domain names, or suspicious file hashes.
Do I need to be a security expert to use this?
It's helpful to have some knowledge of digital security, but the tool is designed to simplify the analysis, even for non-experts.
Details
Original description by the author
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.
Popularity
- GitHub stars
- 35k
- Ranking position
- #5496
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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