Yeti: Your everyday threat intelligence
Yeti is a platform meant to organize observables, indicators of compromise, TTPs, and knowledge on threats in a single, unified repository. Yeti will also automatically enrich observables (e.g. resolve domains, geolocate IPs) so that you don’t have to. Yeti provides an interface for humans (shiny Bootstrap-based UI) and one for machines (web API) so that your other tools can talk nicely to it.
It was born out of frustration of having to answer the question “where have I seen this artifact before?” or Googling shady domains to tie them to a malware family.
In a nutshell, Yeti allows you to:
- Submit observables and get a pretty good guess on the nature of the threat.
- Inversely, focus on a threat and quickly list all TTPs, Observables, and associated malware.
- Let responders skip the “Google the artifact” stage of incident response.
- Let analysts focus on adding intelligence rather than worrying about machine-readable export formats.
- Visualize relationship graphs between different threats.
This is done by:
- Collecting and processing observables from a wide array of different sources (MISP instances, malware trackers, XML feeds, JSON feeds…)
- Providing a web API to automate queries (think incident management platform) and enrichment (think malware sandbox).
- Export the data in user-defined formats so that they can be ingested by third-party applications (think blocklists, SIEM).
Installation
$ sudo apt-get install build-essential git python-dev mongodb redis-server libxml2-dev libxslt-dev zlib1g-dev python-virtualenv wkhtmltopdf
$ curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add –
$ echo “deb https://dl.yarnpkg.com/debian/ stable main” | sudo tee /etc/apt/sources.list.d/yarn.list
$ sudo apt-get update && sudo apt-get install yarn
$ git clone https://github.com/yeti-platform/yeti.git
$ cd yeti
$ [sudo] pip install -r requirements.txt
$ yarn install
Usage
Start the web UI (will spawn an HTTP server on http://localhost:5000):
$ ./yeti.py webserver
Copyright 2017 Thomas Chopitea, Gael Muller
Source: https://github.com/yeti-platform/
