Awesome

Suricata Analytics

Summary

This repository contains various resources that are useful when interacting with Suricata data.

Content

The repository is organized into directories. Each one contains data for the associated software.

Jupyter

Project Jupyter provides a interactive data analytics environment. We provide threat hunting and data exploration notebooks which are located under jupyter/Notebooks. Those notebooks are designed to interact with Scirius REST API endpoints using the python/surianalytics data connectors.

Getting started

Docker build

We provide a docker image that encapsulates all dependencies needed by the notebooks. Easiest way to get started is using docker-compose. Firstly, use .env.example as reference for setting up SELKS / SSP connection variables.

cp .env.example .env

Edit the .env file.

# This is the scirius API token you can generate under Account Settings -> Edit Token
SCIRIUS_TOKEN=<TOKEN VALUE>
# This points to SELKS / Scirius / SSP manager instance
SCIRIUS_HOST=<IP or Hostname>
# Set to "no" if your SELKS / Scirius / SSP manager uses self-signed HTTPS certificate
SCIRIUS_TLS_VERIFY=yes

Build the docker image.

docker-compose build

Execute the docker image.

docker-compose up

Copy the jupyter connection string from container log messages and paste into your chosen web browser. Connection string should look like http://127.0.0.1:8888/lab?token=<GENERATED TOKEN>.