How do I install the Analyzing Threat Landscape With Misp skill?

Run npx skillmds add thedixitjain/analyzing-threat-landscape-with-misp in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Analyzing Threat Landscape With Misp safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Analyzing Threat Landscape With Misp?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Analyzing Threat Landscape With Misp free to use?

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Who published Analyzing Threat Landscape With Misp?

thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Analyzing Threat Landscape With Misp by thedixitjain

Name: Analyzing Threat Landscape With Misp
Rating: 4.666666666666667 (3 reviews)
Author: thedixitjain

Analyzing Threat Landscape With Misp

Analyze the threat landscape using MISP (Malware Information Sharing Platform) by querying event statistics, attribute distributions, threat actor galaxy clusters, and tag trends over time. Uses PyMISP to pull event data, compute IOC type breakdowns, identify top threat actors and malware families, and generate threat landscape reports with temporal trends.

thedixitjain 26b5033 4 files · 21.4 KB Updated Sep 9, 2026 2 repo stars

File contents

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)

Source: mukul975/Anthropic-Cybersecurity-Skills → skills/analyzing-threat-landscape-with-misp/SKILL.md

---name: analyzing-threat-landscape-with-mispdescription: Analyze the threat landscape using MISP (Malware Information Sharing Platform) by querying event statistics, attribute distributions, threat actor galaxy clusters, and tag trends over time. Uses PyMISP to pull event data, compute IOC type breakdowns, identify top threat actors and malware families, and generate threat landscape reports with temporal trends.--- # 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) ``` --- **Source:** [`mukul975/Anthropic-Cybersecurity-Skills`](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) → `skills/analyzing-threat-landscape-with-misp/SKILL.md`

Frequently asked questions