S3 backend for Python's keyring

This module adds an AWS S3 backend to Python's keyring module. The S3 backend will store the keyring credentials in an S3 bucket and use client and server side encryption to keep the credentials safe both during transit and at rest. This backend is quite handy when you want to distribute credentials across multiple machines. Access to the backend and to the encryption keys can be finely tuned using AWS IAM policies.

Installation

You can install the [stable release from Pipy](https://pypi.org/project/s3keyring/) by FindHotel (previously InnovativeTravel)

pip install s3keyring

To install the development version of this fork.

pip install git+https://github.com/AdRoll/s3-keyring

For Keyring Admins only: setting up the keyring

If you are just a user of the keyring and someone else has set up the keyring for you then you can skip this section and go directly to For Keyring Users: accessing the keyring at the end of this README. Note that you will need administrator privileges in your AWS account to be able to set up a new keyring as described below.

S3 bucket

The S3 keyring backend requires you to have read/write access to a S3 bucket. If you want to use bucket mysecretbucket to store your keyring, you will need to attach the following IAM policy to all the IAM user accounts or roles that will have read and write access to the keyring:

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "s3:ListBucket"
            ],
            "Resource": "arn:aws:s3:::mysecretbucket",
            "Condition": {}
        },
        {
            "Effect": "Allow",
            "Action": [
                "s3:DeleteObject",
                "s3:GetObject",
                "s3:PutObject"
            ],
            "Resource": "arn:aws:s3:::mysecretbucket/*"
        }
    ]
}

You can easily create a policy that grants read-only access to the keyring by removing the s3:PutObject and s3:DeleteObject actions from the policy above.

Encryption key

You need to create a KMS encryption key. Write down the ID of the KMS key that you create. You will need to communicate this KMS Key ID to all keyring users.

IMPORTANT: You will need to grant read access to the KMS key to every IAM user or role that needs to access the keyring.

For Keyring users: how to access the keyring

One-time configuration

If you haven't done so already, you will need to configure your local installation of the AWS SDK by running:

aws configure

You also need to ensure that you are using version 4 of the AWS Signature for authenticated requests to S3:

aws configure set s3.signature_version s3v4

Then you can simply run:

s3keyring configure

Your keyring administrator will provide you with the KMS Key ID, Bucket and Namespace configuration options. Option AWS profile allows you to specify the local AWS CLI profile you want to use to sign all requests sent to AWS when accessing the keyring. Most users will want to use the default profile.

IMPORTANT: when deploying the s3keyring in EC2 instances that are granted access to the keyring by means of an IAM role you should not specify a custom AWS profile.

You can configure the s3keyring module without user input by setting the following environment variables: KEYRING_BUCKET, KEYRING_NAMESPACE, KEYRING_KMS_KEY_ID, KEYRING_AWS_PROFILE. If these environment variables are properly set then you can configure the s3keyring module with:

s3keyring configure --no-ask

Configuration profiles

You can use s3keyring to store (read) secrets in (from) more than one backend S3 keyring. A typical use case is creating different keyrings for different user groups that have different levels of trust. For instance your keyring administrator may have setup a S3 keyring that only IAM users with admin privileges can access. Using the bucket, KMS Key ID and namespace provided by your keyring admin you can configure a separate s3keyring profile to access that admins-only keyring:

s3keyring --profile administrators configure

Your keyring admin may have also setup a separate S3 keyring to store secrets that need to be accessed by EC2 instances that act as website workers in a project you are working on. To access that keyring you would configure a second s3keyring profile:

s3keyring --profile website-workers configure

Then, to store and retrieve secrets in the administrators keyring:

s3keyring --profile administrators set SERVICE ACCOUNT PASSWORD
s3keyring --profile administrators get SERVICE ACCOUNT

And you could do the same for the website-workers keyring using option --profile website-workers.

Custom configuration files

By default s3keyring configuration is store in ~/.s3keyring.ini. However, you can also tell s3keyring to use a custom configuration file. In the CLI:

# Store the configuration in a custom config file
s3keyring --config /path/to/custom_config_file.ini configure
# Read the configuration from a custom config file
s3keyring --config /path/to/custom_config_file.ini get SERVICE ACCOUNT

When using the module API:

from s3keyring.s3 import S3Keyring
kr = S3Keyring(config_file='/path/to/custom_config_file.ini')
kr.get_password('service', 'username')

Usage

The s3keyring module provides the same API as Python's keyring module. You can access your S3 keyring programmatically from your Python code like this:

from s3keyring.s3 import S3Keyring
kr = S3Keyring()
kr.set_password('service', 'username', '123456')
assert '123456' == kr.get_password('service', 'username')
kr.delete_password('service', 'username')
assert kr.get_password('service', 'username') is None

You can also use the keyring from the command line:

# Store a password
s3keyring set service username 123456
# Retrieve it
s3keyring get service username
# Delete it
s3keyring delete service username

As of version 0.7.0 s3-keyring also includes a caching mechanism for a namespace. This works by saving a flat JSON file mapping keys to their passwords. This allows for applications to pull down a single cache file instead of many individual passwords to speed up launch times:

# Update cache
s3keyring build_cache
# Retrieve cache
s3keyring get_cache

Recommended workflow

This is how I use s3keyring in my Python projects.

Let's assume that my project root directory looks something like this:

setup.py
my_module/
          __init__.py

In my project root directory I run:

s3keyring --config my_module/.s3keyring.ini configure

I keep the generated .s3keyring.ini file as part of my project source code (i.e. under version control). Then I paste the the code below in my_module/__init__.py:

import os
import inspect
from s3keyring.s3 import S3Keyring

__module_dir__ = os.path.dirname(inspect.getfile(inspect.currentframe()))
__s3keyring_config_file__ = os.path.join(__module_dir__, '.s3keyring.ini')
keyring = S3Keyring(config_file=__s3keyring_config_file__)

Then in my project code I store and retrieve secrets as follows:

from my_module import keyring

keyring.set_password('service', 'username', '123456')
assert keyring.get_password('service', 'username') == '123456'

Who do I ask?

German Gomez-Herrero, <german@innovativetravel.eu>

benrifkind/s3-keyring