IntelOwl vs MISP

IntelOwl is an open-source threat intelligence platform that enriches files and observables from multiple sources through a single API. It is intended for work such as threat hunting, security operations, incident response, threat intelligence, and vulnerability management. The built-in web interface provides dashboards, analysis visualizations, and forms for requesting analyses. A REST API and official Python and Go clients are also available, including command-line use. Its plugin framework includes analyzers, connectors, pivots, visualizers, ingestors, and playbooks. Listed integrations include VirusTotal, AbuseIPDB, YARA, Oletools, ClamAV, and URLscan; connectors can share results with MISP, OpenCTI, YETI, and Slack. Deployment uses Docker Compose, with Debian-based Linux distributions, especially Ubuntu, documented as supported environments. The deployment comprises a React frontend, Django backend, PostgreSQL, Redis, Celery, and Nginx. The installation guide recommends 2 CPUs, 4 GB RAM, and 20 GB disk for a basic VM, or 8 CPUs, 16 GB RAM, and 80 GB disk for intensive use. Per-plugin TLP settings control which analyzers and connectors can run; RED prevents use of external services.

MISP is an open source platform for collecting, storing, distributing, and sharing cybersecurity indicators and threat information for incident and malware analysis. It is designed for incident analysts, security and ICT professionals, and malware reversers. Analysts can correlate information using fuzzy hashes and CIDR overlaps, then add comments, sightings, opinions, proposals, or counter-analysis. Distribution levels and custom sharing groups control access down to individual attributes, and instances can synchronize intelligence in real time. MISP supports signing and encrypting notifications with GnuPG or S/MIME, as well as signing and validating shared information. Automation options include an OpenAPI-described REST API, PyMISP, Python enrichment modules, and ZMQ or Kafka streaming. Import and export formats include STIX 1 and 2, OpenIOC, CSV, Suricata, Snort, and Zeek. MISP can run on-premise, in the cloud, or as SaaS, and the project recommends Ubuntu 24.04 or misp-docker for deployment. The software costs nothing under AGPL. Paid yearly support, sustainability support, and training options are also listed.