Skip to main content

A universal secrets manager

Project description

Mind Castle - Build a wall around your secrets

A universal store for your secret data. Don't delay securing you or your customer's data by deliberating over cloud secret stores. Mind Castle makes it easy to get started, and easy to switch between cloud secret stores.

Mind Castle currently supports:

  • HashiCorp Vault
  • AWS Secrets Manager
  • In-memory and JSON stores that should only be used for testing/migration

Architecture

Mind Castle comes in three parts:

  • A unified interface for several secret stores.
  • An SQLAlchemy column type that transparently stores and retrieves secrets for you.
  • A migration tool to convert your existing DB column data into secrets.

Some other notes:

  • Mind Castle is configured and secret stores are initialised at import time. That means env-vars used for configuration need to be defined when Mind Castle is imported.
  • Mind Castle makes no attempt to manage secrets in memory. Memory management in Python is futile, and if you need that level of control it's best to use another language.

Install

pip install mind-castle

Configure

You can configure Mind Castle by setting environment variables for your chosen secret store. To see what configuration options are required for each store:

$ python -m mind_castle
╭───────────────────────────────────────── MIND CASTLE ─────────────────────────────────────────╮
│                                                                                               │
│                                         Secret Stores                                         │
│ ┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
│  Store Type         Required env var                   Optional env var                   │
│ ┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
│  memory                                                                                   │
│                                                                                           │
│  plaintext                                                                                │
│                                                                                           │
│  awssecretsmanager  MIND_CASTLE_AWS_REGION             MIND_CASTLE_AWS_SECRET_KEY_PREFIX  │
│                     MIND_CASTLE_AWS_ACCESS_KEY_ID                                         │
│                     MIND_CASTLE_AWS_SECRET_ACCESS_KEY                                     │
│                     --- OR ---                                                            │
│                     MIND_CASTLE_AWS_REGION             MIND_CASTLE_AWS_SECRET_KEY_PREFIX  │
│                     MIND_CASTLE_AWS_USE_ENV_AUTH                                          │
│                                                                                           │
│  hashicorpvault     MIND_CASTLE_VAULT_HOST                                                │
│                     MIND_CASTLE_VAULT_TOKEN                                               │
│                                                                                           │
│  json                                                                                     │
│                                                                                           │
│ └───────────────────┴───────────────────────────────────┴───────────────────────────────────┘ │
╰───────────────────────────────────────────────────────────────────────────────────────────────╯

Use

Migrating Existing Data

A migration tool is provided to move your existing data into a secret store. The tool assumes you have a database that can be connected to using SQLAlchemy and create_engine(<db_uri>).

You will need to configure your selected secret store using environment variables as described above. You can see what other options the migration tool accepts with:

$ python migration_tool.py --help

 Usage: migration_tool.py [OPTIONS] DB_URI

╭─ Arguments ─────────────────────────────────────────────────────────────────────────╮
│ *    db_uri      TEXT  [default: None] [required]                                   │
╰─────────────────────────────────────────────────────────────────────────────────────╯
╭─ Options ───────────────────────────────────────────────────────────────────────────╮
│ --target-table                        TEXT  [default: None]                         │
│ --target-column                       TEXT  [default: None]                         │
│ --dry-run           --no-dry-run            [default: dry-run]                      │
│ --demigrate         --no-demigrate          [default: no-demigrate]                 │
│ --to-secret-type                      TEXT  [default: json]                         │
│ --help                                      Show this message and exit.             │
╰─────────────────────────────────────────────────────────────────────────────────────╯

The easiest thing to do is specify --to-secret-type and let the tool guide you through the rest. e.g.:

$ MIND_CASTLE_VAULT_HOST="http://127.0.0.1:8200" MIND_CASTLE_VAULT_TOKEN="<your_token>" python migration_tool.py "postgresql://<user>:<pass>@<host>:5432/<database>" --to-secret-type hashicorpvault

The tool will list tables and columns in the selected DB for you, and ask you to select each. Once a dry run is complete and you also have a backup of your database, you can add --no-dry-run to migrate the data for real.

SQLAlchemy Model

Once any existing data is migrated, you can update your SQLAlchemy model to include a SecretData column:

from mind_castle.sqlalchemy import SecretData

class MyDBModel(Base):
    name = Column(String, nullable=False)
    created_at = Column(DateTime, default=datetime.datetime.now)
    secret_data = Column(SecretData("hashicorpvault"))

Your secrets will then be safely stored in Vault (or AWS, or anywhere else you like)! The storage and retrieval of secrets will be completely transparent to your application.

TODO

  • Make migration script work for non-json columns
  • Support deleting secrets when row is deleted
  • Implement prefixes/folders for secrets
  • Explain how secrets are stored
  • Enforce tests on PR / branch protections

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mind_castle-0.2.7.tar.gz (60.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mind_castle-0.2.7-py3-none-any.whl (23.0 kB view details)

Uploaded Python 3

File details

Details for the file mind_castle-0.2.7.tar.gz.

File metadata

  • Download URL: mind_castle-0.2.7.tar.gz
  • Upload date:
  • Size: 60.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.5

File hashes

Hashes for mind_castle-0.2.7.tar.gz
Algorithm Hash digest
SHA256 715b5a5b2fd20e779be9cef180f14d6efddae528a700b3683c9bd16a6c3617b6
MD5 a7898e4910cdb0e9370fcebf9af53984
BLAKE2b-256 b82135f3a9f66ce507143581e9b1d38e732ce56b074a42108d63a2241ecc6786

See more details on using hashes here.

File details

Details for the file mind_castle-0.2.7-py3-none-any.whl.

File metadata

File hashes

Hashes for mind_castle-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 8aa93dc0091c7510a75a34eb6db8fb91dbbc880cb11f9793d6ff3e046acb7955
MD5 29202cb472de7d78f58f8bd3c8333bfa
BLAKE2b-256 6e913450148f0e1ffbb29e0faf07835f316c7870251f807e4a4be53cf3f01514

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page