performing-threat-intelligence-sharing-with-misp

name	performing-threat-intelligence-sharing-with-misp
description	Use PyMISP to create, enrich, and share threat intelligence events on a MISP platform, including IOC management, feed integration, STIX export, and community sharing workflows. Use when working with performing threat intelligence sharing with misp.
domain	cybersecurity
subdomain	threat-intelligence
tags	["misp","pymisp","threat-intelligence","ioc-sharing","stix","taxii","threat-feeds","information-sharing"]
version	1.0
author	oyi77
license	Apache-2.0
nist_csf	["ID.RA-01","ID.RA-05","DE.CM-01","DE.AE-02"]

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

Trigger phrases:

• "performing threat intelligence sharing with misp"

• "Use PyMISP to create, enrich, and share threat intelligence events on a MISP pla"

• 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

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text)  k, v  IOC_PATTERNS.items()}