Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

2.7 KiB

name description domain subdomain tags version author license nist_csf
performing-threat-intelligence-sharing-with-misp 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)
  • 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.