Use AWS keys to transfer data between organizations - amazon-web-services

I am trying to move client data from clients S3 bucket(s3://client-bucket) to our organizations S3 bucket(s3://org-bucket) I was given access keys to the clients S3 bucket.
Using AWS CLI i am able to access S3 bucket of client as see all files. I cannot however use aws s3 mv because the profile that has access to client-bucket does not have permissions set up for org-bucket.
I am not allowed to move data to an intermediate public bucket bc of security issues/sensitivity of data.
What is the best way of making this transfer go thru? Is there a way to set up a profile in aws cli config/credentials with both the access keys to org-bucket and client-bucket?

The best way is to use the access keys in your organization to access your client's S3 bucket. Since you need to copy objects directly via the CopyObject API, your IAM user/role needs to have access to both the S3 bucket in your org AND your client's S3 bucket. Therefore, your current approach doesn't work and even AssumeRole would not work either. You can follow this guide to configure proper resource-based policies in S3.

Related

Access control for AWS Managed services

Our organization is planning to use AWS Managed services like Rekognition, Textract etc. Since these services uses S3 buckets for Face comparison and analyzing documents. The concern is end users shouldn't be able to access buckets outside our organization, is there any way I can limit the access for only S3 buckets in my organization? Buckets can be created on the fly by the user, so the access control should cover all the buckets in the account.
We're also using VPC endpoints for these services.
There is no capability to configure Rekognition such that it can only use buckets within the specific AWS Account.
Objects in Amazon S3 are private by default. IAM Users in your organization will only have access to buckets for which they have been granted access via a policy on their IAM User, or via a Bucket Policy on the bucket itself.
If a user references an S3 object in a call to Amazon Rekognition, the user must have access to the bucket via an IAM Policy or Bucket Policy. If they can access the object, then they can use the object with Rekognition.
In other words, if they have general access to an object (eg to download the object), then they can use Rekognition with it.

How to access objects in S3 bucket, without making the object's folder public

I have provided AmazonS3FullAccess policy for both the IAM user and group. Also the buket that I am trying to access says "Objects can be public". I have explicitly made the folder inside the bucket public. Despite all this I am getting access denied error when I tried to access it through its url. Any idea on this?
Objects in Amazon S3 are private by default. This means that objects are not accessible by anonymous users.
You have granted permission for your IAM User to be able to access S3. Therefore, you have access to the objects but you must identify yourself to S3 so that it can verify your identity.
You should be able to access S3 content:
Via the Amazon S3 management console
Using the AWS CLI (eg aws s3 ls s3://bucketname)
Via authenticated requests in a web browser
I suspect that you have been accessing your bucket via an unauthenticated request (eg bucketname.s3.amazonaws.com/foo.txt. Unfortunately, this does not tell Amazon S3 who you are, so it will deny the request.
To access content with this type of URL, you can generate an Amazon S3 pre-signed URLs, which appends some authentication information to the URL to prove your identity. An easy way to generate the URL is with the AWS CLI:
aws s3 presign s3://bucketname/foo.txt
It will return a URL that looks like this:
https://bucketname.s3.amazonaws.com/foo.txt?AWSAccessKeyId=AKIAxxx&Signature=xxx&Expires=1608175109
The URL will be valid for one hour by default, up to 7 days.
There are two ways I will recommend.
go to s3 dashboard, and download the object you need, one by one manually, the bucket can be kept private at the same time.
build a gateway/a small service, to handle authentication for you, set a policy and give the permission to the service container/lambda to visit the private bucket, and restrict only specific users to download the objects.
References
download from aws s3
aws policy, permission and roles

How can I use a S3 bucket of a different AWS account in DMS of my account?

I know the credentials (access key and secret) of a S3 bucket of a different AWS account. Now I want to create an Database Migration task with this s3 bucket of the other account as source endpoint. Has anybody an idea what steps I need to do to use this S3 bucket for a migration task?
Regards Gerrit
You don't need the credentials of the other account. You need two (2) things for a resource in one account to use a bucket in an external account.
You need to make sure the DMS service access role you specify in the source endpoint has the S3 IAM permissions to read from that bucket. Take a look at Prerequisites When Using Amazon S3 as a Source for AWS DMS
You need to make sure the bucket in the external account allow other accounts to access it. This is accomplished with a bucket policy.

How to access a public S3 bucket from another AWS account?

In one of the blog post, the author has mentioned that he uploaded dataset into a s3 bucket and gave public access.
s3://us-east-1.elasticmapreduce.samples/flightdata/input
Now I want to download/see the data from my chrome browser.
When I copy paste above link in chrome address bar it is asking for:
Access key ID
Secret access key
What should I give here?
Did the author initially made it public and now made it private?
(I am confused)
Also can we access these kind of URLs that start with s3:// directly from browsers?
Should I need to have a AWS account to access these S3 buckets?
(I know we can access web data using http protocol.. http://)
The Amazon S3 management console allows you to view buckets belonging to your account. It is not possible to view S3 buckets belonging to other accounts within the S3 console.
You can, however, access them via the AWS Command-Line Interface (CLI). For example:
aws s3 ls s3://us-east-1.elasticmapreduce.samples/flightdata/input/
You can also copy files from other buckets by using aws s3 cp and aws s3 sync.
These calls require a set of valid AWS credentials (Access Key and Secret Key), which can be stored in the credentials files via the aws configure command. You do not need specific permission to access public buckets, but you do need permission to use S3 in general. You can obtain an Access Key and Secret Key in the IAM management console where your IAM User is defined. (Or, if you do not have permission to view it, ask your AWS administrator for the Access Key and Secret Key.)

upload to s3 from ec2 without access key

Can you connect to S3 via s3cmd or mount S3 to and ec2 instance with IAM users and not using access keys?
All the tutorials I see say to use access keys but what if you can't create your own access keys (IT policy).
There are two ways to access data in Amazon S3: Via an API, or via URLs.
Via an API
When accessing Amazon S3 via API (which includes code using an AWS SDK and also the AWS Command-Line Interface (CLI)), user credentials must be provided in the form of an Access Key and a Secret Key.
The aws and s3cmd utilities, and also software that mounts Amazon S3 as a drive, require access to the API and therefore require credentials.
If you have been given a login to an AWS account, you should be able to ask your administrators to also create credentials that are associated with your User. These credentials will have exactly the same permissions as your normal login (via Username/password), so it's strange that they would be disallowing it. They can be very useful for automating AWS activities, such as starting/stopping Amazon EC2 instances.
Via URLs
Objects stored in Amazon S3 can also be made available via a URL that points directly to the data, eg s3.amazonaws.com/bucket-name/object.txt
To provide public access to these objects without requiring credentials, either add permission to each object or create a Bucket Policy that grants access to content within the bucket.
This access method can be used to retrieve individual objects, but is not sufficient to mount Amazon S3 as a drive.