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.
Related
Pretty simple question but I can't find any online resources to clarify if it is possible to do this. I want to transfer data from WinSCP to an S3 bucket in an Amazon environment but instead of creating an IAM user with an IAM policy I want to utilize SSH.
The reasoning behind using this method is to bypass the new AWS requirement that requires IAM credentials to be rotated every 90 days. Any insight would be much appreciated.
It can't be done. AWS S3 doesn't speak SSH. Its requests must be signed by the AWS Signature process, which uses IAM key, secret, and session token.
If your s3 action is running on an EC2 instance, you can use an instance profile to provide short term access credentials for your application. Same for ecs including fargate and lambda.
If you're running the script as a human user, you can use aws sso or IAM federation to move from long lived access keys to short lived credentials.
Or, you could use something like code pipeline to automatically operate on your behalf based on changes coming from version control like Github, which would remove your need for AWS access credentials, instead delegating that access to code pipeline or something in AWS. Hard to say much about that option without knowing more about your use case.
Otherwise, you're stuck handling the credentials. And in my humble opinion, you should consider that 90 day rotation an acceptable cost for the security it provides.
The reasoning behind using this method is to bypass the new AWS requirement that requires IAM credentials to be rotated every 90 days
This sounds like a requirement your account imposes itself - and a good one. I'm not aware of any such requirement being imposed by AWS. Can you provide a source for your assertion?
My requirement is to access some AWS APIs from a mobile application(Written in flutter). Currently how I have done it is by creating an IAM user with only the permissions required and using the access credentials of that user I sign my APIs.
What I am looking to do is instead of storing these credentials with in my app. Is there a way to use some sort of sign in mechanism to obtain some credentials and use those for signing my APIs?
Update 1:
To add more context. This is purely a hobby project and mostly for personal use. And for my use case storing credentials with in application is more than enough. Anyway I have intention to publish it as an open source project and I want to add a better way to handle this. Currently am not storing any credential in my code but am adding it as a an ENV during build process.
I think I would be able to handle this if I create my own backend to generate temporary credentials. But if there is some other standard solution out there I would like to utilize that.
Storing credentials in an application is an antipattern, and AWS provides features that prevent the need for you to do so.
Two alternatives off the top of my head.
The most obvious of these is AWS IAM Instance Profiles. These permit you to bind IAM permissions to an EC2. Any application or service on this ec2 is then permitted to perform the actions permitted by the IAM profile bound to the Instance Profile.
If you are running your application in EKS, you can leverage IRSA to bind IAM permissions to a service-account in the EKS cluster.
I assume you're running your service on EC2, and that therefore the InstanceProfile approach is easiest.
I have as php library I wrote to help with working along side Amazon Web Services. It was built to either look for the default $HOME/.aws/credentials (or be pointed to a similar format file) or to look for the key and secret in the environment before proceeding.
We are now going to be running it on an EC2 and I was shown how you can use roles in conjunction with the EC2 to get and keep much better control on what the server code can and can't do. But I need to modify my code to be able to know when it has proper permissions before proceeding and I don't see anywhere in the docs on assigning an EC2 instance a given role how you know in the SDK that it has the permissions of that role.
Is there some way once I instantiate the SDK to ask something akin to 'hasRole' or 'getRoleArn' or something like that?
SDKs are mapped directly to API calls. So if you know what cli command to call, it makes it much easier to google. So you want the aws sts get-caller-identity most likely.
Doing a google for "PHP sts sdk aws" is then the search you would do. And then you would wind up on this page.
So that way is using the SDK. There are a couple of other ways as well. As you are using ec2 you can use instance meta-data as well.
On another note I do think you should be careful though with leaking the AWS role into your application code. It probably makes more sense to use user identity context, such as with Cogito, and then use different groups with different permission sets. The role on the actual ec2 instance shouldn't be changing (unless you do a re-deploy), so there is no need for your code to check something that won't change during the normal running of the application. You could simply use an environment variable to convey whatever configuration you want to your application.
aws sts get-caller-identity --query 'Arn'
arn:aws:iam::1232412321:role/YourRole
I am trying to write an application in Python.
Through this application I want to create AWS Cognito users and provide services like user Sign-in, Forgot password, etc.
As I understand, boto3, is the standard Python library for accessing AWS APIs, from Python.
https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html
This library needs storing of AWS credentials ( Access key and secure access keys) on the host machine.
Can this be avoided?
I want to distribute this Python application to my users.
I am checking, if I can avoid this configuration of AWS credentials on every user's host.
Is there any alternative option to boto3 library?
If you absolutely need to access internal AWS API's you need to log in to AWS. Access keys is one way, it's also possible to use aws-adfs command line tool to log in though active directory, but that requires your AWS/AD administrators to do some additional setup on their side.
I would suggest looking into writing a client-server / web applications that would be hosted within AWS and only expose relevant functionality to authenticated users.
If costs are an issue for a hosted application, look into lambdas, as there you pay only for cpu/memory time. In case of setting management app it will probably not even exceed free tier.
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.