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IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing protocol.

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IntelMQ

Introduction

IntelMQ is a solution for IT security teams (CERTs & CSIRTs, SOCs abuse departments, etc.) for collecting and processing security feeds (such as log files) using a message queuing protocol. It's a community driven initiative called IHAP1 (Incident Handling Automation Project) which was conceptually designed by European CERTs/CSIRTs during several InfoSec events. Its main goal is to give to incident responders an easy way to collect & process threat intelligence thus improving the incident handling processes of CERTs.

IntelMQ is frequently used for:

  • automated incident handling
  • situational awareness
  • automated notifications
  • as data collector for other tools
  • and more!

The design was influenced by AbuseHelper however it was re-written from scratch and aims at:

  • Reducing the complexity of system administration
  • Reducing the complexity of writing new bots for new data feeds
  • Reducing the probability of events lost in all process with persistence functionality (even system crash)
  • Use and improve the existing Data Harmonization Ontology
  • Use JSON format for all messages
  • Provide easy way to store data into databases and log collectors such as PostgreSQL, Elasticsearch and Splunk
  • Provide easy way to create your own black-lists
  • Provide easy communication with other systems via HTTP RESTful API

It follows the following basic meta-guidelines:

  • Don't break simplicity - KISS
  • Keep it open source - forever
  • Strive for perfection while keeping a deadline
  • Reduce complexity/avoid feature bloat
  • Embrace unit testing
  • Code readability: test with inexperienced programmers
  • Communicate clearly

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CEF

Footnotes

  1. Incident Handling Automation Project, mailing list: ihap@lists.trusted-introducer.org

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IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing protocol.

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