IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing protocol.
Project description
Welcome to IntelMQ!
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 IHAP (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 can be used for - automated incident handling - situational awareness - automated notifications - as data collector for other tools - etc.
IntelMQ’s 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 Log Collectors like ElasticSearch, Splunk, databases (such as PostgreSQL)
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 unexperienced programmers
Communicate clearly
For support questions please reach out on the the intelmq-users mailing list
IntelMQ Manager and more tools
Several pieces of software evolved around IntelMQ. For example, check out IntelMQ Manager which is a web based interface to easily manage an IntelMQ system.
More tools can be found in the Ecosystem chapter in the documentation.
How to participate
IntelMQ is a community project depending on your contributions. Please consider sharing your work.
Have a look at our Developers Guide for documentation.
Subscribe to the Intelmq-dev Mailing list to get answers to your development questions:
The Github issues lists all the open feature requests, bug reports and ideas.
Some developers are also on IRC: channel #intelmq on irc.freenode.net.
Incident Handling Automation Project
Licence
This software is licensed under GNU Affero General Public License version 3
Funding
This project was partially funded by the CEF framework
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file intelmq-3.0.2-post1.tar.gz.
File metadata
- Download URL: intelmq-3.0.2-post1.tar.gz
- Upload date:
- Size: 7.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.7.2 pkginfo/1.5.0.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d6ec207bc9b5b8f6f0edfa30a518a0b4db7c7d5f3de05bfdd208bfc0736a01fd |
|
| MD5 | c725d94fffde7fa5e5ac2e7f98e33331 |
|
| BLAKE2b-256 | 4f43e06a553ada4aea3fc1720cc933783a083a4d8f2f70cff46101309450c476 |
File details
Details for the file intelmq-3.0.2.post1-py2.py3-none-any.whl.
File metadata
- Download URL: intelmq-3.0.2.post1-py2.py3-none-any.whl
- Upload date:
- Size: 1.1 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.8.1 pkginfo/1.5.0.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a31d6dc32287878e246d5e29f4c48ff3fccec4fba07703e50de1a9a9957ac4e3 |
|
| MD5 | 468950ece92ba50f2db0dc3a275d2aa8 |
|
| BLAKE2b-256 | 979e3b539887abcceb2f978670ab24479c3e8df56b42aab2ae2a96bed45f0ff0 |
