Yet Another Workflow Parser for SecurityHub

Related tags

Data Analysisyawps
Overview

YAWPS

Yet Another Workflow Parser for SecurityHub

"Screaming pepper" by Rum Bucolic Ape is licensed with CC BY-ND 2.0. To view a copy of this license, visit https://creativecommons.org/licenses/by-nd/2.0/

Purpose

Currently SecurityHub has a ChatBot integration thats a bit lacking. All of securityhub goes to chatbot, which means a singular flooding channel of alerts.

With cloud-custodians recent support for securityhub and organizations we have a good way to send all alerts for an entire org to slack. But that means every account goes to a single channel.

This repo is part of a multi-series talk/demo on how to intelligently route account messages to differing Slack channels.

In the scenario where a team owns an account it would be nice to let cloud-custodian generate meaningful securityhub notifications that go to specific team channels.

For this talk we will simply tag AWS accounts with 2 tags account_name (a human readable name) and slack_channel (a slack channel to direct those security hub notifications to).

A blog post and KubeCon talk will be coming soon with more information

Prerequisites

The only real pre-requisite here is a working multi-account SecurityHub

Configuration

Environment Variable Description
SLACK_FALLBACK_CHANNEL Channel to fallback to if the slack_channel tag is not provided on the account
SLACK_TOKEN the path in SSM to the slack token`
SLACK_TOKEN_SSM_PATH if a SLACK_TOKEN is not found, this is where to grab it from the EC2 Param store
LOGGING_LEVEL the logging level to use. Default is INFO
ENABLE_FORK_COPY_SEVERITY Enable the ability to fork some messages to another channel by severity. Value can be True or False. Default is False
FORK_COPY_SEVERITY_VALUE If ENABLE_FORK_COPY_SEVERITY is True, what severity level to fork by. Should be an integer between 0 and 100. Default is 90
ENABLE_FORK_ONLY_SEVERITY Enable the ability to fork some messages to only another channel by severity. Value can be True or False. Default is False
FORK_ONLY_SEVERITY_VALUE If ENABLE_FORK_ONLY_SEVERITY is True, what severity level to fork by. Should be an integer between 0 and 100. Default is 100

Forking

There are a few use cases for forking.

In general (all defaults) YAWPS will only send to the channel found in the tag or the SLACK_FALLBACK_CHANNEL (because it's required).

This is great until you have rules that you want a second team (lets say security) to also see and follow up with.

Using ENABLE_FORK_COPY_SEVERITY and FORK_COPY_SEVERITY_VALUE lets you also send to that second slack channel. Lets say you set FORK_COPY_SEVERITY_VALUE to 90. This means that anything rated 90 will send to both.

Another use-case exists: not sending team specific alerts. Lets say that an alert is not actionable by the configured team, but is purely for security visibility (like failed IAM logins etc). You can use ENABLE_FORK_ONLY_SEVERITY set to, say 100, in this scenario so that custom rules can set severity to 100 and send it only to security and bypass the primary team. This is good for noise filtration and helping to keep things actionable by a singular source.

Deploy

ServerLess

TODO

Terraform

  1. Download this repository (or a released artifact)
  2. Run make zip to produce a fully deployable s3 artifact
  3. Deploy something similar to this terraform

Testing

$ poetry install
$ poetry run tox
Owner
myoung34
Cloud security engineer, tinkerer, tomato farmer
myoung34
Full ELT process on GCP environment.

Rent Houses Germany - GCP Pipeline Project: The goal of the project is to extract data about house rentals in Germany, store, process and analyze it u

Felipe Demenech Vasconcelos 2 Jan 20, 2022
Maximum Covariance Analysis in Python

xMCA | Maximum Covariance Analysis in Python The aim of this package is to provide a flexible tool for the climate science community to perform Maximu

Niclas Rieger 39 Jan 03, 2023
Spectacular AI SDK fuses data from cameras and IMU sensors and outputs an accurate 6-degree-of-freedom pose of a device.

Spectacular AI SDK examples Spectacular AI SDK fuses data from cameras and IMU sensors (accelerometer and gyroscope) and outputs an accurate 6-degree-

Spectacular AI 94 Jan 04, 2023
Pandas and Dask test helper methods with beautiful error messages.

beavis Pandas and Dask test helper methods with beautiful error messages. test helpers These test helper methods are meant to be used in test suites.

Matthew Powers 18 Nov 28, 2022
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and lo

Coiled 102 Nov 10, 2022
Containerized Demo of Apache Spark MLlib on a Data Lakehouse (2022)

Spark-DeltaLake-Demo Reliable, Scalable Machine Learning (2022) This project was completed in an attempt to become better acquainted with the latest b

8 Mar 21, 2022
Transform-Invariant Non-Negative Matrix Factorization

Transform-Invariant Non-Negative Matrix Factorization A comprehensive Python package for Non-Negative Matrix Factorization (NMF) with a focus on learn

EMD Group 6 Jul 01, 2022
nrgpy is the Python package for processing NRG Data Files

nrgpy nrgpy is the Python package for processing NRG Data Files Website and source: https://github.com/nrgpy/nrgpy Documentation: https://nrgpy.github

NRG Tech Services 23 Dec 08, 2022
ELFXtract is an automated analysis tool used for enumerating ELF binaries

ELFXtract ELFXtract is an automated analysis tool used for enumerating ELF binaries Powered by Radare2 and r2ghidra This is specially developed for PW

Monish Kumar 49 Nov 28, 2022
Udacity-api-reporting-pipeline - Udacity api reporting pipeline

udacity-api-reporting-pipeline In this exercise, you'll use portions of each of

Fabio Barbazza 1 Feb 15, 2022
Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List.

tldextract Python Module tldextract accurately separates the gTLD or ccTLD (generic or country code top-level domain) from the registered domain and s

John Kurkowski 1.6k Jan 03, 2023
Powerful, efficient particle trajectory analysis in scientific Python.

freud Overview The freud Python library provides a simple, flexible, powerful set of tools for analyzing trajectories obtained from molecular dynamics

Glotzer Group 195 Dec 20, 2022
This tool parses log data and allows to define analysis pipelines for anomaly detection.

logdata-anomaly-miner This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis wit

AECID 32 Nov 27, 2022
Building house price data pipelines with Apache Beam and Spark on GCP

This project contains the process from building a web crawler to extract the raw data of house price to create ETL pipelines using Google Could Platform services.

1 Nov 22, 2021
A tool to compare differences between dataframes and create a differences report in Excel

similarpanda A module to check for differences between pandas Dataframes, and generate a report in Excel format. This is helpful in a workplace settin

Andre Pretorius 9 Sep 15, 2022
Bamboolib - a GUI for pandas DataFrames

Community repository of bamboolib bamboolib is joining forces with Databricks. For more information, please read our announcement. Please note that th

Tobias Krabel 863 Jan 08, 2023
[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022

Nested Collaborative Learning for Long-Tailed Visual Recognition This repository is the official PyTorch implementation of the paper in CVPR 2022: Nes

Jun Li 65 Dec 09, 2022
A real data analysis and modeling project - restaurant inspections

A real data analysis and modeling project - restaurant inspections Jafar Pourbemany 9/27/2021 This project represents data analysis and modeling of re

Jafar Pourbemany 2 Aug 21, 2022
Flenser is a simple, minimal, automated exploratory data analysis tool.

Flenser Have you ever been handed a dataset you've never seen before? Flenser is a simple, minimal, automated exploratory data analysis tool. It runs

John McCambridge 79 Sep 20, 2022
An Aspiring Drop-In Replacement for NumPy at Scale

Legate NumPy is a Legate library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API on top of the Legion runtime. Using Legate NumPy you do things like run the f

Legate 502 Jan 03, 2023