Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions)
based on subdomain and content analysis. Restores 11 skills corrupted during
prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields.
All 754 skills now carry structured mappings for all 5 security frameworks:
- MITRE ATT&CK (in tags)
- MITRE ATLAS v5.5 (atlas_techniques)
- MITRE D3FEND v1.3 (d3fend_techniques)
- NIST AI RMF 1.0 (nist_ai_rmf)
- NIST CSF 2.0 (nist_csf)
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.
cybersecurity
threat-intelligence
misp
pymisp
threat-intelligence
ioc-sharing
stix
taxii
threat-feeds
information-sharing
1.0
mahipal
Apache-2.0
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
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)
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.
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