How do I install the Performing Threat Intelligence Sharing With Misp skill?

Run npx skillmds@latest add gabrielmoreira/performing-threat-intelligence-sharing-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.

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Which AI agents work with Performing Threat Intelligence Sharing With Misp?

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Is Performing Threat Intelligence Sharing With Misp free to use?

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Who published Performing Threat Intelligence Sharing With Misp?

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

Performing Threat Intelligence Sharing With Misp by gabrielmoreira

Name: Performing Threat Intelligence Sharing With Misp
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

Performing Threat Intelligence Sharing With Misp

Uses PyMISP (the official MISP REST API library) to create events with structured IOCs (IPs, domains, hashes, URLs), enrich them with MITRE ATT&CK tags and galaxy clusters, manage sharing groups and distribution levels, search existing intelligence, and export in STIX 2.1 format. Use when creating, enriching, or sharing threat intelligence events on a MISP instance, or integrating IOC feeds with other platforms.

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

Performing Threat Intelligence Sharing with MISP

Overview

MISP (Malware Information Sharing Platform) is an open-source threat intelligence platform designed for collecting, storing, distributing, and sharing cybersecurity indicators and threat information. PyMISP is the official Python library for interacting with MISP instances via the REST API, enabling programmatic event creation, attribute management, tag assignment, galaxy cluster attachment, and feed synchronization. This skill covers using PyMISP to create events with structured IOCs (IP addresses, domains, file hashes, URLs), enrich events with MITRE ATT&CK tags, manage sharing groups and distribution levels, search for existing intelligence, and export in STIX 2.1 format for interoperability with other platforms.

When to Use

When conducting security assessments that involve performing threat intelligence sharing with misp
When following incident response procedures for related security events
When performing scheduled security testing or auditing activities
When validating security controls through hands-on testing

Prerequisites

MISP instance (v2.4+) with API access enabled
Python 3.9+ with pymisp (pip install pymisp)
MISP API key (Settings > Auth Keys)
Understanding of MISP data model (Events, Attributes, Objects, Tags, Galaxies)
Knowledge of TLP marking and sharing protocols

Steps

Install PyMISP: pip install pymisp
Initialize ExpandedPyMISP(url, key, ssl=True) connection
Create a MISPEvent with info, distribution level, threat level, and analysis status
Add attributes via event.add_attribute(type, value) for IPs, domains, hashes
Apply TLP tags and MITRE ATT&CK technique tags
Publish the event with misp.publish(event)
Search existing events with misp.search(controller='events', value=..., type_attribute=...)
Enable and configure threat feeds for automatic IOC ingestion
Export events in STIX 2.1 format for cross-platform sharing
Validate sharing group configuration and sync server settings

Expected Output

A JSON report summarizing events created, attributes added, tags applied, feed sync status, and any correlation hits against existing intelligence, with event IDs and distribution metadata.

---name: performing-threat-intelligence-sharing-with-mispdescription: Uses PyMISP (the official MISP REST API library) to create events with structured IOCs (IPs, domains, hashes, URLs), enrich them with MITRE ATT&CK tags and galaxy clusters, manage sharing groups and distribution levels, search existing intelligence, and export in STIX 2.1 format. Use when creating, enriching, or sharing threat intelligence events on a MISP instance, or integrating IOC feeds with other platforms.license: Apache-2.0---# Performing Threat Intelligence Sharing with MISP ## Overview MISP (Malware Information Sharing Platform) is an open-source threat intelligence platform designed for collecting, storing, distributing, and sharing cybersecurity indicators and threat information. PyMISP is the official Python library for interacting with MISP instances via the REST API, enabling programmatic event creation, attribute management, tag assignment, galaxy cluster attachment, and feed synchronization. This skill covers using PyMISP to create events with structured IOCs (IP addresses, domains, file hashes, URLs), enrich events with MITRE ATT&CK tags, manage sharing groups and distribution levels, search for existing intelligence, and export in STIX 2.1 format for interoperability with other platforms. ## When to Use - When conducting security assessments that involve performing threat intelligence sharing with misp - When following incident response procedures for related security events - When performing scheduled security testing or auditing activities - When validating security controls through hands-on testing ## Prerequisites - MISP instance (v2.4+) with API access enabled - Python 3.9+ with `pymisp` (`pip install pymisp`) - MISP API key (Settings > Auth Keys) - Understanding of MISP data model (Events, Attributes, Objects, Tags, Galaxies) - Knowledge of TLP marking and sharing protocols ## Steps 1. Install PyMISP: `pip install pymisp` 2. Initialize `ExpandedPyMISP(url, key, ssl=True)` connection 3. Create a `MISPEvent` with info, distribution level, threat level, and analysis status 4. Add attributes via `event.add_attribute(type, value)` for IPs, domains, hashes 5. Apply TLP tags and MITRE ATT&CK technique tags 6. Publish the event with `misp.publish(event)` 7. Search existing events with `misp.search(controller='events', value=..., type_attribute=...)` 8. Enable and configure threat feeds for automatic IOC ingestion 9. Export events in STIX 2.1 format for cross-platform sharing 10. Validate sharing group configuration and sync server settings ## Expected Output A JSON report summarizing events created, attributes added, tags applied, feed sync status, and any correlation hits against existing intelligence, with event IDs and distribution metadata.

Frequently asked questions