I'm currently using AWS S3 credentials inside my application's code in a file ignored by git, but every developer has that file so it can work with images.
I want to hide those credentials from the developers, but still have the ability to use S3 in the development environment.
What are the best practices on that?
Should I replace S3 usage to local files in the development environment?
Give each of your developers IAM accounts with their own API keys, set your application to read the API keys from environment variables rather than from a config file. When the code runs on EC2 instances, use IAM roles so that you don't need to use API keys at all. If you're using AWS SDKs it will use role credentials by default.
Related
I have a Java program which needs to access Amazon S3 to put some files there. Please note that this Java program is running in my desktop (not in EC2). What's the best secure way to access Amazon S3 using credentials? Following are the ways I am aware of.
Using access token and secret
a. In sdk properties file
b. As environment variables
c. In command line system properties
d. Directly hard coding in program
Of course I'd prefer options b and c for security reasons.
Is there a role based permissions possible here? My understanding is that it's not possible since my Java program is running in an external machine which AWS doesn't know.
Any other method of access possible?
Thanks in advance.
The best way is to use the default provider chain, which means that the [DefaultCredentialsProvider] (https://sdk.amazonaws.com/java/api/latest/software/amazon/awssdk/auth/credentials/DefaultCredentialsProvider.html) class will decide from where to take the credentials based on a specific hierarchy:
1. Java System Properties - aws.accessKeyId and aws.secretAccessKey
2. Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY
3. Web Identity Token credentials from system properties or environment variables
4. Credential profiles file at the default location (~/.aws/credentials) shared by all AWS SDKs and the AWS CLI
5. Credentials delivered through the Amazon EC2 container service if AWS_CONTAINER_CREDENTIALS_RELATIVE_URI" environment variable is set and security manager has permission to access the variable,
6. Instance profile credentials delivered through the Amazon EC2 metadata service
For local development the recommended way is to set up your credentials using the aws configure command and let the default provider chain take advantage of that.
Although environment variables may be a reasonable choice in some cases (and the default chain will be able to use them), please NEVER ever hardcode any credentials in your code!
Yes it is. We can assume a role using the AWS CLI:
aws sts assume-role --role-arn "arn:aws:iam::123456789012:role/example-role" --role-session-name AWSCLI-Session
This will provide a temporary AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_SESSION_TOKEN which can be provided to the application. The application will communicate with AWS services using the permissions provided by the assumed role.
Yes, there is another way if the goal is to access S3. We can use presigned urls.
When working with the AWS SDK for Java V2, refer to the AWS SDK for Java
Developer Guide V2. This developer guide contains a lot of information that answers questions like this.
To learn how credentials work, please refer to this topic:
Using credentials
All AWS Examples in Github assume credentials are loaded from the credential file. As explained in the docs, the credentials file is located in
Windows - C:\Users<yourUserName>.aws\credentials
Linux, macOS, Unix - ~/.aws/credentials
See this topic that will show you how to get up and running using the Amazon S3 API- including setting up your credentials.
Get started with the AWS SDK for Java 2.x
The Amazon S3 Java API has methods like pubObject that lets you place objects into an Amazon S3 bucket.
So it says on the github documentation here that
AWS Vault is a tool to securely store and access AWS credentials in a
development environment.
AWS Vault stores IAM credentials in your operating system's secure
keystore and then generates temporary credentials from those to expose
to your shell and applications. It's designed to be complementary to
the AWS CLI tools, and is aware of your
But what does this actually mean? As a developer does this mean to create a kind of lock to prevent anyone from using my code without the aws-vault profile? When should I use this technology? I want to know a bit more about it before I use it.
It actually doesn't have anything related to development.
While working with Amazon managed services we can take advantage of IAM roles but that doesn't work when you're doing it from our local environment or from some other Cloud VM like accessing a S3 bucket. It comes handy when you're doing a lot of work with AWS CLI or even writing terraform for your environment. It is just for a precaution so we don't expose or IAM credentials to external world (you will receive an abuse notification from Amazon whenever your keys are compromised). There are many other ways to make sure your keys don't get compromised like before pushing your code to a version control use git-secrets to make sure you don't push any sensitive information.
I am having properties file specific for dev, test and other environments. I have to store this files in some secure place in aws. I am using AWS Native tools for build and deployment. Please let me know how to store these files in aws
There are many ways to deal with a secret in case of AWS, but one thing is clear it depends on the service where you will use and consume these secret.
But you explore these two
The simplest way is to use the Environment variable.
AWS Secrets Manager
s3 ( for keeping files)
One common approach is to pass your secret as an environment variables, but in case of AWS I will recommend to go with AWS Secrets Manager
AWS Secrets Manager is an AWS service that makes it easier for you to
manage secrets. Secrets can be database credentials, passwords,
third-party API keys, and even arbitrary text. You can store and
control access to these secrets centrally by using the Secrets Manager
console, the Secrets Manager command line interface (CLI), or the
Secrets Manager API and SDKs.
Basic Secrets Manager Scenario
The following diagram illustrates the most basic scenario. It shows
how you can store credentials for a database in Secrets Manager, and
then use those credentials in an application that needs to access the
database.
Compliance with Standards
AWS Secrets Manager has undergone auditing for the these standards and can be part of your solution when you need to obtain compliance certification.
You can explore this article to read and write secret.
If you need to maintain files, not only object then you can store in s3 and pull files during deployment. but better to enable server-side encprtion.
But I will prefer secret manager instead of s3 and environment variable.
You can for s3 here and here
Bajjuri,
As Adil said in answer,
AWS Secret Manager -- if you want to store data as key, value pairs.
AWS S3 -- if you want to store files securely.
Adding to his answer, you can use AWS CodeDeploy Environment
Variables to fetch the files according to the your environment.
Let's say you've CodeDeploy deployment group for dev environment with
name "DEV" and deployment group for prod environment with name "PROD",
you can use this variable in bash script and call it in life cycle
hooks of appspec file to fetch the files or secret accordingly.
I've been using this technique in production for long and it works like a charm.
According to many advices, we should not configure IAM USER but using IAM Role instead to avoid someone managed to grab the user confidential in .aws folder.
Lets say I don't have any EC2 instances. Can I still able to perform S3 operation via AWS CLI? Says aws s3 ls
MacBook-Air:~ user$ aws s3 ls
Unable to locate credentials. You can configure credentials by running "aws configure".
You are correct that, when running applications on Amazon EC2 instances or as AWS Lambda functions, an IAM role should be assigned that will provide credentials via the EC2 metadata service.
If you are not running on EC2/Lambda, then the normal practice is to use IAM User credentials that have been created specifically for your application, with least possible privilege assigned.
You should never store the IAM User credentials in an application -- there have been many cases of people accidentally saving such files into GitHub, and bad actors grab the credentials and have access to your account.
You could store the credentials in a configuration file (eg via aws configure) and keep that file outside your codebase. However, there are still risks associated with storing the credentials in a file.
A safer option is to provide the credentials via environment variables, since they can be defined through a login profile and will never be included in the application code.
I don't think you can use service roles on your personal machine.
You can however use multi-factor authentication for AWS CLI
You can use credentials on any machine not just EC2.
Follow the steps as described by the documentation for your OS.
http://docs.aws.amazon.com/cli/latest/userguide/installing.html
I've been using AWS Codedeploy using github as the revision source. I have couple of configuration files that contains credentials(e.g. NewRelic and other third party license key) which I do not want to add it to my github repository. But, I need them in the EC2 instances.
What is a standard way of managing these configurations. Or, what tools do you guys use for the same purpose?
First, use IAM roles. That removes 90% of your credentials. Once you've done that, you can store (encrypted!) credentials in an S3 bucket and carefully control access. Here's a good primer from AWS:
https://blogs.aws.amazon.com/security/post/Tx1XG3FX6VMU6O5/A-safer-way-to-distribute-AWS-credentials-to-EC2
The previous answers are useful for managing AWS roles/credential specifically. However, your question is more about general non-AWS credentials, and how to manage them securely using AWS.
What works well for us is to secure the credentials in a properties file in a S3 bucket. Using same technique as suggested by tedder42 in A safer way to distribute AWS credentials to EC2, you can upload your credentials in a properties file into a highly secured S3 bucket, only available to your instance, which has been configured with the appropriate IAM role.
Then using CodeDeploy, you can add a BeforeInstall lifecycle hook to download the credential files to a local directory via the AWS CLI. For example:
aws s3 cp s3://credentials-example-com/credentials.properties
c:\credentials
Then when the application starts, it can read those credentials from the local file.
Launch your EC2 instances with an instance profile and then give the associated role access to all the things your service needs access to. That's what the CodeDeploy agent is using to make calls, but it's really there for any service you are running to use.
http://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use_switch-role-ec2_instance-profiles.html