Continuous Security Group Rule Change Detection & Response at scale

Overview

Introduction

Get notified of Security Group Changes across all AWS Accounts & Regions in an AWS Organization, with the ability to respond/revert those changes with a single button click from a Slack Channel. This is made easy and possible with the recent announcement of CloudTrail Lake, which helps aggregate CloudTrail logs from all accounts/regions in a queryable(if that's a word :P) format.

The infrastructure needed for this project is deployed as a CDK Application, which deploys a CodeCommit repository and a CodeBuild stage which synthesizes the cdk app to cloudformation template and deploys in the target environment.

NOTE Security Group Rule Changes are allowed by default. Meaning changes are reverted only when explicitly denied by user interaction through slack channel interactive Deny button.

How it works on the high level

Prerequisites

  • Appropriate IAM Roles and trust relationships within the AWS Organization and member accounts, FleetAccess.

An ideal setup would be like this

  • CloudTrail Lake setup - Tutorial to enable cloudtrail lake
  • A role in the Organization account with the ability to invoke start_query and get_query_results and trusted by the hub-001 role in the Security account, where the lambda functions run from.
  • Slack App setup with the API Gateway endpoint updated. The Signing secret from the app should be updated in the config file to be used by the lambda function to verify requests from slack. The app enabled with features - Incoming Webhooks, Interactivity.
  • Usage of the latest available boto3 library as API calls related to cloudtrail lake is new and only available on very recent versions, thus boto3 is packaged along with lambda functions.
  • Have Cloud Development Kit installed with npm install cdk. https://github.com/aws/aws-cdk

Components

  • Lambda Functions
    • revertsg-1 - Triggered every 10 mins by cloudwatch event rule.
    • revertsg-2 - Invoked by API Gateway.
  • API Gateway to receive requests from Slack and proxy to revertsg-2
  • Dynamodb to hold security group rule change details.
  • CloudWatch Event Rule time based to trigger revertsg-1 every 10 mins.

Workflow

Security Group Change Detection & Response

  • CloudWatch Event Time based rule will trigger lambda revertsg-1, every 10 mins.
  • Lambda function revertsg-1 will assume role cloudtrail-lake-read-role in the organization account and run query to fetch events with event name AuthorizeSecurityGroupIngress in the last 20 mins. There is an over lap so that events which were
  • Query results are gathered and new security group rule changes are added to a dynamodb table secgrouprequests and also details are sent to a slack channel in an interactive message with the ability to either ignore or deny this change.
  • Slack interaction invokes API Gateway which in turn invokes revertsg-2 with all the headers and body proxied.
  • Security group rule changes are allowed by default, so,
    • If the user clicks on Approve(well technically it's already approved :P), revertsg-2 does the same and responds back with the user name who ignored this change event.
    • If the user clicks Deny, meaning to revert the change, revertsg-2 will,
      • Read dynamodb table with the cloudtrail requestid, get that specific event details, assume spoke-001 role on that account from the security account as hub-001, invokes the revoke_security_group_ingress API call, responds with the messaged as denied with the user name.

Usage

  • Git clone https://github.com/raajheshkannaa/green-stone
  • Update config.py in these 4 places, because both the CDK App and the source code depends on various constants from this configuration file.
AUTOMATION_ACCOUNT = '
   
    ' # Where our automation is run
ORG_ACCOUNT = '
    
     ' # This is where CloudTrail Lake is setup.
#CLOUDTRAIL_LAKE_READ_ROLE = '
     
      '
CLOUDTRAIL_LAKE_READ_ROLE = 'cloudtrail-lake-read-role' # This is the role name used if deployed using FleetAccess - https://github.com/raajheshkannaa/fleet-access 
HOOK_URL = '
      
       ' # https://api.slack.com/messaging/webhooks
SIGNINGSECRET = 
        
       
      
     
    
   
  • Once the above details are updated, run cdk ls to confirm the stacks are good.
  • Run cdk synth to make sure templates synthesize without errors.
  • With the Security Account credentials in the local terminal using export AWS_PROFILE= , run cdk deploy or use cdk deploy --profile security-account.
  • CDK will deploy the CSGDRRPipelineStack pipeline stack, which in turn creates the CodeCommit repository, CodePipeline with necessary IAM permissions, Stages of deployment. At end of deployment, in the terminal cdk would print out the API Gateway url which needs to be updated in the Slack App in the interactivity section.
  • The first time you deploy, the pipeline runs and fails, because we haven't pushed our code yet.
  • So, now gather the codecommit repository details which was created and git push the cdk app to the repository which has the cloudformation stacks to be deployed by the pipeline.
  • Once code is pushed, pipeline picks it up automatically and begins deployment, its an amazing feeling to look at this in action, with so minimal effort.
  • The automation is triggered every 10 mins and if there are any Security Group changes, that would show up in the Slack Channel for which the webhook was configured earlier.

Considerations

  • CloudTrail events are delayed by up to 2-3 mins sometimes before it gets delivered to the cloudtrail lake. Timings are adjusted accordingly for this project, with the CloudWatch Rule and also the event times` for the cloudtrail lake query.
  • Security Group Rule Changes are allowed by default, to make sure Security doesn't add friction to the operations with rest of the organization. Meaning changes are reverted only when explicitly denied by user interaction through slack channel interactive Deny button.
  • Because this is a new service/feature from AWS, Lambda's boto3 library is not updated with the ability to invoke these API calls, so I've packaged a recent version of boto3 part of the lambda function. This could have been a Lambda layer, but hey, doesn't matter after couple weeks or a month.
Owner
Raajhesh Kannaa Chidambaram
Raajhesh Kannaa Chidambaram
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (CVPR 2020) This is the official implementation of RandLA-Net (CVPR2020, Oral

Qingyong 1k Dec 30, 2022
Domain Adaptation with Invariant RepresentationLearning: What Transformations to Learn?

Domain Adaptation with Invariant RepresentationLearning: What Transformations to Learn? Repository Structure: DSAN |└───amazon |    └── dataset (Amazo

DMIRLAB 17 Jan 04, 2023
Text2Art is an AI art generator powered with VQGAN + CLIP and CLIPDrawer models

Text2Art is an AI art generator powered with VQGAN + CLIP and CLIPDrawer models. You can easily generate all kind of art from drawing, painting, sketch, or even a specific artist style just using a t

Muhammad Fathy Rashad 643 Dec 30, 2022
Backdoor Attack through Frequency Domain

Backdoor Attack through Frequency Domain DEPENDENCIES python==3.8.3 numpy==1.19.4 tensorflow==2.4.0 opencv==4.5.1 idx2numpy==1.2.3 pytorch==1.7.0 Data

5 Jun 18, 2022
Implicit Graph Neural Networks

Implicit Graph Neural Networks This repository is the official PyTorch implementation of "Implicit Graph Neural Networks". Fangda Gu*, Heng Chang*, We

Heng Chang 48 Nov 29, 2022
Self-Regulated Learning for Egocentric Video Activity Anticipation

Self-Regulated Learning for Egocentric Video Activity Anticipation Introduction This is a Pytorch implementation of the model described in our paper:

qzhb 13 Sep 23, 2022
Yoga - Yoga asana classifier for python

Yoga Asana Classifier Description Hi welcome to my new deep learning project "Yo

Programminghut 35 Dec 12, 2022
Label Studio is a multi-type data labeling and annotation tool with standardized output format

Website • Docs • Twitter • Join Slack Community What is Label Studio? Label Studio is an open source data labeling tool. It lets you label data types

Heartex 11.7k Jan 09, 2023
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

StackGAN Pytorch implementation Inception score evaluation StackGAN-v2-pytorch Tensorflow implementation for reproducing main results in the paper Sta

Han Zhang 1.8k Dec 21, 2022
The repository for our EMNLP 2021 paper "Finnish Dialect Identification: The Effect of Audio and Text"

Finnish Dialect Identification The repository for our EMNLP 2021 paper "Finnish Dialect Identification: The Effect of Audio and Text". We present a te

Rootroo Ltd 2 Dec 25, 2021
SEC'21: Sparse Bitmap Compression for Memory-Efficient Training onthe Edge

Training Deep Learning Models on The Edge Training on the Edge enables continuous learning from new data for deployed neural networks on memory-constr

Brown University Scale Lab 4 Nov 18, 2022
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pu

Ritchie Ng 9.2k Jan 02, 2023
[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

Self-paced Contrastive Learning (SpCL) The official repository for Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

Yixiao Ge 286 Dec 21, 2022
This implementation contains the application of GPlearn's symbolic transformer on a commodity futures sector of the financial market.

GPlearn_finiance_stock_futures_extension This implementation contains the application of GPlearn's symbolic transformer on a commodity futures sector

Chengwei <a href=[email protected]"> 189 Dec 25, 2022
Mscp jamf - Build compliance in jamf

mscp_jamf Build compliance in Jamf. This will build the following xml pieces to

Bob Gendler 3 Jul 25, 2022
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time The first Lidar-only odometry framework with high performance based on tr

Pengwei Zhou 183 Dec 01, 2022
The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.

VAENAR-TTS This repo contains code accompanying the paper "VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis". Sa

THUHCSI 138 Oct 28, 2022
Depth-Aware Video Frame Interpolation (CVPR 2019)

DAIN (Depth-Aware Video Frame Interpolation) Project | Paper Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang IEEE C

Wenbo Bao 7.7k Dec 31, 2022
SAMO: Streaming Architecture Mapping Optimisation

SAMO: Streaming Architecture Mapping Optimiser The SAMO framework provides a method of optimising the mapping of a Convolutional Neural Network model

Alexander Montgomerie-Corcoran 20 Dec 10, 2022
Memory Efficient Attention (O(sqrt(n)) for Jax and PyTorch

Memory Efficient Attention This is unofficial implementation of Self-attention Does Not Need O(n^2) Memory for Jax and PyTorch. Implementation is almo

Amin Rezaei 126 Dec 27, 2022