Intel 471 Verity471 vs IntelOwl
Intel 471 Verity471
intel471.comIntelOwl
github.comSide by side
| Figure | Intel 471 Verity471 | IntelOwl |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Threat Intelligence Platforms | 7.3 (#18) | 8.0 (#5) |
| Purpose | Verity471 turns adversary tradecraft sourced from the criminal underground into verified pre-attack cyber intelligence. | IntelOwl is an open-source threat intelligence platform that enriches files and observables using multiple sources through a single API. |
Plans
In their own words
Intel 471 Verity471
Intel 471 Verity471 has no write-up on Specifiction yet; its figures are above.
IntelOwl
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.