pip install credstash- Set up a key called credstash in KMS
- Make sure you have AWS creds in a place that boto/botocore can read them
credstash setup
Software systems often need access to some shared credential. For example, your web application needs access to a database password, or an API key for some third party service.
Some organizations build complete credential-management systems, but for most of us, managing these credentials is usually an afterthought. In the best case, people use systems like ansible-vault, which does a pretty good job, but leads to other management issues (like where/how to store the master key). A lot of credential management schemes amount to just SCP'ing a secrets file out to the fleet, or in the worst case, burning secrets into the SCM (do a github search on password).
CredStash is a very simple, easy to use credential management and distribution system that uses AWS Key Management Service (KMS) for key wrapping and master-key storage, and DynamoDB for credential storage and sharing.
After you complete the steps in the Setup section, you will have an encryption key in KMS (in this README, we will refer to that key as the master key), and a credential storage table in DDB.
Whenever you want to store/share a credential, such as a database password, you simply run credstash put [credential-name] [credential-value]. For example, credstash put myapp.db.prod supersecretpassword1234. credstash will go to the KMS and generate a unique data encryption key, which itself is encrypted by the master key (this is called key wrapping). credstash will use the data encryption key to encrypt the credential value. It will then store the encrypted credential, along with the wrapped (encrypted) data encryption key in the credential store in DynamoDB.
When you want to fetch the credential, for example as part of the bootstrap process on your web-server, you simply do credstash get [credential-name]. For example, export DB_PASSWORD=$(credstash get myapp.db.prod). When you run get, credstash will go and fetch the encrypted credential and the wrapped encryption key from the credential store (DynamoDB). It will then send the wrapped encryption key to KMS, where it is decrypted with the master key. credstash then uses the decrypted data encryption key to decrypt the credential. The credential is printed to stdout, so you can use it in scripts or assign environment variables to it.
Optionally you can include any number of Encryption Context key value pairs to associate with the credential. The exact set of encryption context key value pairs that were associated with the credential when it was put in DynamoDB must be provided in the get request to successfully decrypt the credential. These encryption context key value pairs are useful to provide auditing context to the encryption and decryption operations in your CloudTrail logs. They are also useful for constraining access to a given credstash stored credential by using KMS Key Policy conditions and KMS Grant conditions. Doing so allows you to, for example, make sure that your database servers and web-servers can read the web-server DB user password but your database servers can not read your web-servers TLS/SSL certificate's private key. A put request with encryption context would look like credstash put myapp.db.prod supersecretpassword1234 app.tier=db environment=prod. In order for your web-servers to read that same credential they would execute a get call like export DB_PASSWORD=$(credstash get myapp.db.prod environment=prod app.tier=db)
Credentials stored in the credential-store are versioned and immutable. That is, if you put a credential called foo with a version of 1 and a value of bar, then foo version 1 will always have a value of bar, and there is no way in credstash to change its value (although you could go fiddle with the bits in DDB, but you shouldn't do that). Credential rotation is handed through versions. Suppose you do credstash put foo bar, and then decide later to rotate foo, you can put version 2 of foo by doing credstash put foo baz -v . The next time you do credstash get foo, it will return baz. You can get specific credential versions as well (with the same -v flag). You can fetch a list of all credentials in the credential-store and their versions with the list command.
credstash uses the following AWS services:
- AWS Key Management Service (KMS) - for master key management and key wrapping
- AWS Identity and Access Management - for access control
- Amazon DynamoDB - for credential storage
- Set up a key called
credstashin KMS - Install credstash's python dependencies (or just use pip)
- Make sure you have AWS creds in a place that boto/botocore can read them
- Run
credstash setup
credstash will not currently set up your KMS master key. To create a KMS master key,
- Go to the AWS console
- Go to the IAM console/tab
- Click "Encryption Keys" in the left
- Click "Create Key". For alias, put "credstash". If you want to use a different name, be sure to pass it to credstash with the
-kflag - Decide what IAM principals you want to be able to manage the key
- On the "Key Usage Permissions" screen, pick the IAM users/roles that will be using credstash (you can change your mind later)
- Done!
The easiest thing to do is to just run pip install credstash. That will download and install credstash and its dependencies (boto and PyCypto).
The second easiest thing to do is to do python setup.py install in the credstash directory.
The python dependencies for credstash are in the requirements.txt file. You can install them with pip install -r requirements.txt.
In all cases, you will need a C compiler for building PyCrypto (you can install gcc by doing apt-get install gcc or yum install gcc).
You will need to have AWS credentials accessible to boto/botocore. The easiest thing to do is to run credstash on an EC2 instance with an IAM role. Alternatively, you can put AWS credentials in the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables. Or, you can put them in a file (see http://boto.readthedocs.org/en/latest/boto_config_tut.html).
You can specify the region in which credstash should operate by using the -r flag, or by setting the AWS_DEFAULT_REGION environment variable. Note that the command line flag takes precedence over the environment variable. If you set neither, then credstash will operate against us-east-1.
Once credentials are in place, run credstash setup. This will create the DDB table needed for credential storage.
usage: credstash [-h] [-r REGION] [-t TABLE] {delete,get,getall,list,put,setup} ...
A credential/secret storage system
delete
usage: credstash delete [-h] [-r REGION] [-t TABLE] credential
positional arguments:
credential the name of the credential to delete
get
usage: credstash get [-h] [-r REGION] [-t TABLE] [-k KEY] [-n] [-v VERSION]
credential [context [context ...]]
positional arguments:
credential the name of the credential to get. Using the wildcard
character '*' will search for credentials that match
the pattern
context encryption context key/value pairs associated with the
credential in the form of "key=value"
optional arguments:
-n, --noline Don't append newline to returned value (useful in
scripts or with binary files)
-v VERSION, --version VERSION
Get a specific version of the credential (defaults to
the latest version).
getall
usage: credstash getall [-h] [-r REGION] [-t TABLE] [-v VERSION] [-f {json,yaml,csv}]
[context [context ...]]
positional arguments:
context encryption context key/value pairs associated with the
credential in the form of "key=value"
optional arguments:
-v VERSION, --version VERSION
Get a specific version of the credential (defaults to
the latest version).
-f {json,yaml,csv}, --format {json,yaml,csv}
Output format. json(default), yaml or csv.
list
usage: credstash list [-h] [-r REGION] [-t TABLE]
put
usage: credstash put [-h] [-r REGION] [-t TABLE] [-k KEY] [-v VERSION]
credential value [context [context ...]]
positional arguments:
credential the name of the credential to store
value the value of the credential to store or, if beginning
with the "@" character, the filename of the file
containing the value
context encryption context key/value pairs associated with the
credential in the form of "key=value"
optional arguments:
-k KEY, --key KEY the KMS key-id of the master key to use. See the
README for more information. Defaults to
alias/credstash
-v VERSION, --version VERSION
Put a specific version of the credential (update the
credential; defaults to version `1`).
setup
usage: credstash setup [-h] [-r REGION] [-t TABLE]
optional arguments:
-r REGION, --region REGION
the AWS region in which to operate. If a region is not
specified, credstash will use the value of the
AWS_DEFAULT_REGION env variable, or if that is not
set, us-east-1
-t TABLE, --table TABLE
DynamoDB table to use for credential storage
You can put or write secrets to credstash by either using KMS Key Grants, KMS Key Policies, or IAM Policies. If you are using IAM Policies, the following IAM permissions are the minimum required to be able to put or write secrets:
{
"Version": "2012-10-17",
"Statement": [
{
"Action": [
"kms:GenerateDataKey"
],
"Effect": "Allow",
"Resource": "arn:aws:kms:us-east-1:AWSACCOUNTID:key/KEY-GUID"
},
{
"Action": [
"dynamodb:PutItem"
],
"Effect": "Allow",
"Resource": "arn:aws:dynamodb:us-east-1:AWSACCOUNTID:table/credential-store"
}
]
}
If you are using Key Policies or Grants, then the kms:GenerateDataKey is not required in the policy for the IAM user/group/role. Replace AWSACCOUNTID with the account ID for your table, and replace the KEY-GUID with the identifier for your KMS key (which you can find in the KMS console).
You can read secrets from credstash with the get or getall actions by either using KMS Key Grants, KMS Key Policies, or IAM Policies. If you are using IAM Policies, the following IAM permissions are the minimum required to be able to put or read secrets:
{
"Version": "2012-10-17",
"Statement": [
{
"Action": [
"kms:Decrypt"
],
"Effect": "Allow",
"Resource": "arn:aws:kms:us-east-1:AWSACCOUNTID:key/KEY-GUID"
},
{
"Action": [
"dynamodb:GetItem",
"dynamodb:Query",
"dynamodb:Scan"
],
"Effect": "Allow",
"Resource": "arn:aws:dynamodb:us-east-1:AWSACCOUNTID:table/credential-store"
}
]
}
If you are using Key Policies or Grants, then the kms:Decrypt is not required in the policy for the IAM user/group/role. Replace AWSACCOUNTID with the account ID for your table, and replace the KEY-GUID with the identifier for your KMS key (which you can find in the KMS console). Note that the dynamodb:Scan permission is not required if you do not use wildcards in your gets.
Any IAM principal who can get items from the credential store DDB table, and can call KMS.Decrypt, can read stored credentials.
The target deployment-story for credstash is an EC2 instance running with an IAM role that has permissions to read the credential store and use the master key. Since IAM role credentials are vended by the instance metadata service, by default, any user on the system can fetch creds and use them to retrieve credentials. That means that by default, the instance boundary is the security boundary for this system. If you are worried about unauthorized users on your instance, you should take steps to secure access to the Instance Metadata Service (for example, use iptables to block connections to 169.254.169.254 except for privileged users). Also, because credstash is written in python, if an attacker can dump the memory of the credstash process, they may be able to recover credentials. This is a known issue, but again, in the target deployment case, the security boundary is assumed to be the instance boundary.
The master key is stored in AWS Key Management Service (KMS), where it is stored in secure HSM-backed storage. The Master Key never leaves the KMS service.
It's not yet. The table in DDB has a version field. Right now everything is version 1. Soon, you will be able to update a credential, and fetch specific versions of credentials.
tl;dr: If you are using less than 25 reads/sec and 25 writes per second on DDB today, it will cost ~$1/month to use credstash.
The master key in KMS costs $1 per month.
The credential store DDB table uses 1 provisioned read and 1 provisioned write throughput, along with a small amount of actual storage. This falls well below the free tier for DDB (25 reads and 25 writes per second). If you are already a heavy DDB user and exceed the free tier, the credential store table will cost about $0.53 per month (mostly from the write throughput).
If you are using credstash heavily and need to increase the provisioned reads/writes, you may incur additional charges. You can estimate your bill using the AWS Simple Monthly Calculator (http://calculator.s3.amazonaws.com/index.html#s=DYNAMODB).
DDB fits the application really well. Having very low latency fetches are really nice if credstash is in the critical path of spinning up an application. Being able to turn throughput up or down based on load and requirements are also great things to have in a config management tool. Also, as credstash gets into more complex credential management functions, the query capabilities of DDB get super handy.
That said, S3 support may happen someday.
Check out this blog post: http://blog.fugue.it/2015-04-21-aws-kms-secrets.html