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Simple secrets manager

Secure storage, and delivery for tokens, passwords, API keys, PKI and other secrets using HTTP API or Swagger UI.
Updated 4 months ago

Simple Secrets Manager

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Secure storage, and delivery for tokens, passwords, API keys, and other secrets using HTTP API, Swagger UI or Python Package.

TL;DR: Poor Man's Hashi Corp Vault

Why does this exist?

Hashi Corp Vault works well but it was meant for enterprises. Therefore, it was heavy and non-portable (atleast difficult) for my homelab setup. So I wanted to build a Secrets Manager intended for small scale setups that could also scale well.

Goals

  • A lightweight system that sucks less power out of the wall. Therefore, minimal background jobs and reduced resource utilizations.
  • Should be compatible on both x86-64 and arm64v8 (mainly Raspberry Pi 4).
  • High stability, availability and easy scalability.

Available secret engines

Secret Engine Description
kv Key-Value engine is used to store arbitrary secrets.

Available authentication methods

Auth Methods Description
userpass Allows users to authenticate using a username and password combination.
token Allows users to authenticate using a token. Token generation requires users to be authenticated via userpass

Future

  • Secret engines for certificates (PKI), SSH and databases.
  • Encrypting secrets before writing to a persistent storage, so gaining access to the raw storage isn't enough to access your secrets.

Getting started

Automated Install: docker-compose (Recommended)

  1. Run the stack by executing docker-compose up -d.

Manual Install

  1. Clone our repository and run
git clone --depth 1 https://github.com/bearlike/simple-secrets-manager simple-secrets-manager
cd "simple-secrets-manager"
  1. Start a Mongo database server.
  2. Create a .env file in the project root with the following values
CONNECTION_STRING=mongodb://username:password@mongo.hostname:27017
  1. Install the required python packages by executing pip3 install -r requirements.txt
  2. You will need atleast python3.7. Start the server by running server.py.
  3. Visit the application via http://server_hostname:5000/api (default port is 5000) to visit the Swagger UI.