collecting-threat-intelligence-with-misp
About collecting-threat-intelligence-with-misp
A security skill for deploying and using MISP to collect, organize, correlate, and share threat intelligence. It covers feed configuration, PyMISP API automation, and IOC export for security operations teams.
Key features
- 01Deploy MISP with Docker
- 02Configure multiple threat feeds
- 03Search and manage events with PyMISP
- 04Aggregate and correlate IOCs
- 05Export data as STIX 2.1
Use cases
- 01Collect community and commercial feeds
- 02Automate IOC retrieval and processing
- 03Export threat data for downstream tools
- 04Schedule recurring intelligence collection
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ mukul975/ anthropic-cybersecurity-skills --skill collecting-threat-intelligence-with-mispAfter installing, type/collecting-threat-intelligence-with-mispin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
LICENSEassets/template.mdreferences/api-reference.mdstandards.mdworkflows.mdscripts/agent.pyprocess.pyDetails
From the project READMECollecting Threat Intelligence with MISP
Overview
MISP (Malware Information Sharing Platform) is an open-source threat intelligence platform for gathering, sharing, storing, and correlating Indicators of Compromise (IOCs) of targeted attacks, threat intelligence, financial fraud information, vulnerability information, or counter-terrorism information. This skill covers deploying MISP, configuring threat feeds, using the PyMISP API for programmatic access, and building automated collection pipelines that aggregate IOCs from multiple community and commercial sources.
When to Use
- When managing security operations that require collecting threat intelligence with misp
- When improving security program maturity and operational processes
- When establishing standardized procedures for security team workflows
- When integrating threat intelligence or vulnerability data into operations
Prerequisites
- Python 3.9+ with
pymisplibrary installed - Docker and Docker Compose for MISP deployment
- Understanding of STIX 2.1 and TAXII 2.1 protocols
- Familiarity with IOC types: hashes, IP addresses, domains, URLs, email addresses
- Network access to MISP community feeds (circl.lu, botvrij.eu)
Key Concepts
MISP Architecture
MISP operates on an event-based model where threat intelligence is organized into events containing attributes (IOCs), objects (structured groupings of attributes), galaxies (threat actor/malware clusters linked to MITRE ATT&CK), and tags for classification. Synchronization between MISP instances uses a pull/push model over HTTPS with API key authentication.
Feed Types
- MISP Feeds: Native JSON/CSV feeds from MISP community (CIRCL OSINT, botvrij.eu)
- Freetext Feeds: Unstructured text feeds parsed for IOCs (abuse.ch, Feodo Tracker)
- TAXII Feeds: STIX/TAXII 2.1 compatible feeds from commercial and government sources
- CSV Feeds: Structured CSV feeds with configurable column mapping
PyMISP API
PyMISP is the official Python library to access MISP platforms via their REST API. It supports fetching events, adding/updating events and attributes, uploading samples, and searching across the entire MISP dataset. Authentication uses an API key passed in the Authorization header.
Workflow
Step 1: Deploy MISP with Docker
git clone https://github.com/MISP/misp-docker.git
cd misp-docker
cp template.env .env
# Edit .env to set MISP_BASEURL, MISP_ADMIN_EMAIL, MISP_ADMIN_PASSPHRASE
docker compose up -d
Step 2: Configure Default Feeds
Enable built-in MISP feeds via the web UI or API:
from pymisp import PyMISP
misp = PyMISP('https://misp.local', 'YOUR_API_KEY', ssl=False)
# List available feeds
feeds = misp.feeds()
for feed in feeds:
print(f"{feed['Feed']['id']}: {feed['Feed']['name']} - Enabled: {feed['Feed']['enabled']}")
# Enable CIRCL OSINT Feed
misp.enable_feed(feed_id=1)
misp.cache_feed(feed_id=1)
misp.fetch_feed(feed_id=1)
Step 3: Add Custom Threat Feeds
# Add abuse.ch URLhaus feed
feed_data = {
'name': 'URLhaus Recent URLs',
'provider': 'abuse.ch',
'url': 'https://urlhaus.abuse.ch/downloads/csv_recent/',
'source_format': 'csv',
'input_source': 'network',
'publish': False,
'enabled': True,
'headers': '',
'distribution': 0,
'sharing_group_id': 0,
'tag_id': 0,
'default': False,
'lookup_visible': True
}
result = misp.add_feed(feed_data)
print(f"Feed added: {result}")
Step 4: Programmatic Event Search and Retrieval
from pymisp import PyMISP, MISPEvent
from datetime import datetime, timedelta
misp = PyMISP('https://misp.local', 'YOUR_API_KEY', ssl=False)
# Search for events from the last 7 days
result = misp.search(
controller='events',
date_from=(datetime.now() - timedelta(days=7)).strftime('%Y-%m-%d'),
type_attribute='ip-dst',
to_ids=True,
pythonify=True
)
for event in result:
print(f"Event {event.id}: {event.info}")
for attr in event.attributes:
if attr.type == 'ip-dst' and attr.to_ids:
print(f" IOC: {attr.value} (category: {attr.category})")
Step 5: Export IOCs for Downstream Tools
# Export as STIX 2.1 bundle
stix_output = misp.search(
controller='events',
return_format='stix2',
tags=['tlp:white'],
published=True
)
# Export IDS-flagged attributes as Suricata rules
suricata_rules = misp.search(
controller='attributes',
return_format='suricata',
to_ids=True,
type_attribute=['ip-dst', 'domain', 'url']
)
# Export as CSV for SIEM ingestion
csv_output = misp.search(
controller='attributes',
return_format='csv',
type_attribute='ip-dst',
to_ids=True
)
Validation Criteria
- MISP instance is deployed and accessible via HTTPS
- At least 3 community feeds are enabled and fetching data successfully
- PyMISP script can authenticate, search events, and retrieve IOCs
- Events contain properly tagged and categorized attributes
- Export to STIX 2.1 produces valid STIX bundles
- Automated feed fetch runs on schedule (cron or MISP scheduler)