mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
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
63 lines
2.7 KiB
Markdown
63 lines
2.7 KiB
Markdown
---
|
|
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.
|
|
domain: cybersecurity
|
|
subdomain: threat-intelligence
|
|
tags:
|
|
- misp
|
|
- pymisp
|
|
- threat-intelligence
|
|
- ioc-sharing
|
|
- stix
|
|
- taxii
|
|
- threat-feeds
|
|
- information-sharing
|
|
version: '1.0'
|
|
author: mahipal
|
|
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
|
|
|
|
- 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.
|