IntelOwl
github.com
What it is
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.
Spec sheet
- Purpose
- IntelOwl is an open-source threat intelligence platform that enriches files and observables using multiple sources through a single API.Read 9 Oct 2026 · github.com
- Deployment
- Installation uses Docker Compose and the project documents Debian-based Linux distributions, especially Ubuntu, as supported environments.Read 9 Oct 2026 · intelowlproject.github.io
- License
- The GitHub repository identifies the project license as AGPL-3.0.Read 9 Oct 2026 · github.com
- Analysis integrations
- The project lists integrations with services and tools including VirusTotal, AbuseIPDB, YARA, Oletools, ClamAV, and URLscan.Read 9 Oct 2026 · github.com
- API and clients
- IntelOwl provides a REST API and official Python and Go clients, which can also be used from the command line.Read 9 Oct 2026 · intelowlproject.github.io
- Architecture
- The deployment includes a React frontend, Django backend, PostgreSQL database, Redis message broker, Celery task queue, and Nginx reverse proxy.Read 9 Oct 2026 · intelowlproject.github.io
- Data sharing controls
- Per-plugin maximum TLP settings govern which analyzers and connectors can run, and the documentation says RED prevents use of external services.Read 9 Oct 2026 · intelowlproject.github.io
- Deployment sizing
- The installation guide recommends 2 CPUs, 4 GB RAM, and 20 GB disk for a basic VM deployment, and 8 CPUs, 16 GB RAM, and 80 GB disk for intensive use.Read 9 Oct 2026 · intelowlproject.github.io
- Maintainer
- The project README says management of IntelOwl has been fully in Certego's hands since version 6.8.0.Read 9 Oct 2026 · github.com
- Platform limits
- The documentation says Windows may run IntelOwl but is not officially supported, and macOS requires upgrading its bundled Bash to a version newer than 4 to run the startup script.Read 9 Oct 2026 · intelowlproject.github.io
- Plugin framework
- Its customizable plugins include analyzers, connectors, pivots, visualizers, ingestors, and playbooks.Read 9 Oct 2026 · intelowlproject.github.io
- Support and consultancy
- The documentation says maintainers are available to offer paid consultancy and mentorship about deployments.Read 9 Oct 2026 · intelowlproject.github.io
- Threat sharing
- Pre-built connectors can send analysis results to MISP, OpenCTI, YETI, and Slack.Read 9 Oct 2026 · intelowlproject.github.io
- Use cases
- The project describes use cases including threat hunting, SOC operations, incident response, threat intelligence, and vulnerability management.Read 9 Oct 2026 · intelowlproject.github.io
- Web interface
- The built-in web interface includes dashboards, analysis visualizations, and forms for requesting analyses.Read 9 Oct 2026 · intelowlproject.github.io
Plans and prices
Strong points and limits
Strong points
- Free, open-source self-hosted deployment
- Web interface, REST API, and official clients
- Plugin framework covers analysis and workflow roles
- Connectors share results with threat platforms
Limits
- Windows is not officially supported
- macOS startup needs a newer Bash than bundled version 4
- Deployment requires Docker Compose
- Basic VM recommendation includes 20 GB disk
Who it suits
IntelOwl suits security teams seeking a self-hosted platform for enrichment and related analysis workflows. Its documented deployment and sizing guidance can help teams assess their Linux environment before installation.
Verdict
IntelOwl brings enrichment, analysis, and threat-sharing options into a self-hosted platform with both web and API access. Its documented Linux environments and resource recommendations are useful considerations before deployment.
Where Specifiction places it
- Threat Intelligence Platforms#5 of 328.0