IntelOwl

by intelowlproject

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Updated 4 months ago

About

IntelOwl is an open source platform that aggregates and automates threat intelligence retrieval and analysis at scale through a unified API and modular plugins.

IntelOwl: manage your Threat Intelligence at scale

Primary Use Case

IntelOwl is designed for SOC analysts, threat hunters, and security automation engineers who need to quickly enrich and analyze threat intelligence data from multiple sources simultaneously. It streamlines the process of gathering intel on malware, IPs, domains, URLs, and hashes, enabling faster incident response and automated workflows.

Key Features

Enrichment of threat intelligence for files and observables (IP, Domain, URL, hash, etc.)
Unified REST API built with Django and Python for easy integration
Built-in GUI with dashboards, visualizations, and analysis request forms
Modular plugin framework including analyzers, connectors, pivots, and visualizers
Integration with external sources like VirusTotal, AbuseIPDB, MISP, and OpenCTI
Official client libraries for Python (pyintelowl) and Go (go-intelowl)
Scalable architecture designed to speed up threat info retrieval

Installation

Clone the repository from GitHub: git clone https://github.com/intelowlproject/IntelOwl.git
Navigate to the project directory
Install dependencies using pip or your preferred Python package manager
Configure the application settings as per your environment
Run the application server (typically via Django management commands)
Optionally, deploy using the official Docker image from Docker Hub
Access the built-in GUI via the provided web interface or live demo

Usage

>_ python manage.py runserver

Starts the IntelOwl Django web server for local testing and GUI access

>_ curl -X POST https://intelowl.honeynet.org/api/v1/analysis -d '{"observable":"8.8.8.8"}'

Example API request to analyze an observable (IP address) using IntelOwl's REST API

>_ docker pull intelowlproject/intelowl

Pulls the official IntelOwl Docker image for containerized deployment

>_ pip install pyintelowl

Installs the official Python client library to interact with IntelOwl programmatically

Security Frameworks

Reconnaissance

Collection

Discovery

Analysis

Response

Usage Insights

Integrate IntelOwl with SOAR platforms to automate threat intelligence enrichment and accelerate incident response workflows.
Use IntelOwl's modular plugin framework to extend support for custom threat intel sources relevant to your environment.
Leverage the unified REST API to build internal dashboards that correlate threat data with internal telemetry for proactive detection.
Combine IntelOwl with threat hunting tools to enrich observables during investigations, improving context and reducing false positives.
Deploy IntelOwl in containerized environments for scalable, distributed threat intelligence processing in large SOCs.