Default Exploit (d3fault0)

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diagrams

:art: Diagram as Code for prototyping cloud system architectures

Language:PythonLicense:MITStargazers:36666Issues:401Issues:493

90DaysOfDevOps

This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.

Language:ShellLicense:NOASSERTIONStargazers:26324Issues:526Issues:86

sops

Simple and flexible tool for managing secrets

Language:GoLicense:MPL-2.0Stargazers:16126Issues:119Issues:784

clair

Vulnerability Static Analysis for Containers

Language:GoLicense:Apache-2.0Stargazers:10227Issues:226Issues:665

tfsec

Tfsec is now part of Trivy

Language:GoLicense:MITStargazers:6639Issues:69Issues:0

ScoutSuite

Multi-Cloud Security Auditing Tool

Language:PythonLicense:GPL-2.0Stargazers:6555Issues:134Issues:862

aws-nuke

Nuke a whole AWS account and delete all its resources.

php-encryption

Simple Encryption in PHP.

retire.js

scanner detecting the use of JavaScript libraries with known vulnerabilities. Can also generate an SBOM of the libraries it finds.

Language:JavaScriptLicense:NOASSERTIONStargazers:3630Issues:85Issues:253

terraform-aws-eks-blueprints

Configure and deploy complete EKS clusters.

Language:HCLLicense:Apache-2.0Stargazers:2643Issues:63Issues:731

SkyArk

SkyArk helps to discover, assess and secure the most privileged entities in Azure and AWS

Language:PowerShellLicense:MITStargazers:861Issues:41Issues:15

retail-demo-store

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases

Language:Jupyter NotebookLicense:MIT-0Stargazers:708Issues:30Issues:112

superwerker

superwerker can help you get started with the AWS Cloud quickly without investing in consultants or devoting time to extensive research. superwerker is a free, open-source solution that lets you quickly set up an AWS Cloud environment following best practices for security and efficiency so you can focus on your core business.

Language:TypeScriptLicense:MITStargazers:500Issues:16Issues:176

cdk-eks-blueprints

AWS Quick Start Team

Language:TypeScriptLicense:Apache-2.0Stargazers:446Issues:19Issues:549

cf-to-tf

CLI tool for generating Terraform configuration and state for existing CloudFormation resources

Language:JavaScriptLicense:NOASSERTIONStargazers:417Issues:37Issues:17

awskillswitch

Lambda function that streamlines containment of an AWS account compromise

Language:GoLicense:Apache-2.0Stargazers:314Issues:4Issues:0
Language:TypeScriptLicense:Apache-2.0Stargazers:254Issues:52Issues:28

eb-java-scorekeep

RESTful web API in Java with Spring that provides an HTTP interface for creating and managing game sessions and users.

Language:JavaLicense:Apache-2.0Stargazers:239Issues:28Issues:8

threatmodel-for-aws-s3

ThreatModel for Amazon S3 - Library of all the attack scenarios on Amazon S3, and how to mitigate them following a risk-based approach

License:CC-BY-SA-4.0Stargazers:148Issues:8Issues:2

Cloud-AWS

A collection of projects supporting AWS Integration

Language:PythonLicense:MITStargazers:145Issues:19Issues:49

lockgit

A CLI tool for storing encrypted data in a git repo

Language:GoLicense:MITStargazers:129Issues:6Issues:6

carto-selfhosted

Deploy CARTO in a self hosted environment

amazon-rekognition-custom-labels-a2i-automated-continuous-model-improvement

With Amazon Rekognition Custom Labels, you can easily build and deploy Machine Learning (ML) models to identify custom objects which are specific to your business domain in images without requiring advanced ML knowledge. When combined with Amazon Augmented AI (A2I), you can quickly integrate a ML workflow to capture and label images with a human workforce for model training. As ML lifecycle is an iterative and repetitive process, you need to implement an effective workflow that can provide for continuous model training with new data and automated deployment. Your workflow also needs to be flexible enough to allow for changes without requiring development rework as your business objectives change. Operationalizing an effective and flexible workflow can be resource intensive, especially for customers who have limited machine learning capabilities. In this post, we will use AWS Step Functions, AWS Lambda, and AWS System Manager Parameter Store to automate a configurable ML workflow for Rekognition Custom Labels and A2I. We will provide an overview of the solution and instructions to deploy it with AWS CloudFormation.

Language:PythonLicense:NOASSERTIONStargazers:16Issues:5Issues:0
Language:PythonLicense:MIT-0Stargazers:13Issues:3Issues:0

NMF-audio-to-WAV-convertor

Improved Python script to convert NMF to WAV

Language:PythonLicense:MITStargazers:11Issues:0Issues:0

Threat-Alert

stackArmor's repository of AWS CloudFormation templates

Language:PLpgSQLStargazers:3Issues:0Issues:0

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.

License:Apache-2.0Stargazers:2Issues:0Issues:0

3D_Rendering

3D Rendering for Online Cognitive Studies, a Technica Research

Language:PythonStargazers:1Issues:0Issues:0