AssumeRole trusted entities to a specific lambda function - amazon-web-services

I have a lambda that needs quite a lot of permissions because it automatically kills temporary resources, so I have assigned the managed policy AdministratorAccess. What I want to do is to restrict this role to only be assumed a specific lambda function. I have tried to set a condition on sts:AssumeRole, but when trying to assign this role to a lambda I get an error:
Your role is not ready, or cannot be assumed by Lambda. Please wait up
to a minute and try again.
Maybe relevant; the lambda and role CF-stack is deployed with CodePipeline that uses a role CICD-Pipeline. Have anyone done this? This is what I have so far:
LambdaExecutionRole:
Type: AWS::IAM::Role
Properties:
RoleName: common-delete-stack-Role
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Principal:
Service: [lambda.amazonaws.com]
Action: [sts:AssumeRole]
Condition:
StringEquals:
aws:SourceArn: !Sub arn:aws:lambda:${AWS::Region}:${AWS::AccountId}:function:common-delete-stack
ManagedPolicyArns: [arn:aws:iam::aws:policy/AdministratorAccess]
I've also tried this Condition with the same result.
StringEquals:
lambda:FunctionArn: !Sub arn:aws:lambda:${AWS::Region}:${AWS::AccountId}:function:common-delete-stack

Related

VPC Flow Logs Access Error for CloudWatch LogGroup Subscription Type

I am getting an Access error...The log destination is not accessible. which is really weird. I have vpc flow logs going to a CloudWatch LogGroup. This was previously working, I'm managing it with a CloudFormation template, and is working fine in other environments. I did re-create my AWS::EC2::FlowLog when I was playing around with different types (s3), but now when I've tried to revert it I get this error which is strange. Looks like I can't get any CloudWatch logs FlowLog type to work after making changes, even when the log role's policy is permissive:
FlowLogsRole:
Type: 'AWS::IAM::Role'
Properties:
RoleName: !Sub ${AWS::StackName}-flow-log-role
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Principal:
Service: 'vpc-flow-logs.amazonaws.com'
Action: 'sts:AssumeRole'
Policies:
- PolicyName: 'flowlogs-policy'
PolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Action:
- 'logs:CreateLogStream'
- 'logs:PutLogEvents'
- 'logs:DescribeLogGroups'
- 'logs:DescribeLogStreams'
Resource: '*'
And the loggroup exists... Very annoying I've now tried to remove resources from my stack in the template, re-create them etc. But not working.

CloudFormation Role using QueuePolicy Ref as a ManagedPolicy in IAM Role Resource?

I am trying to make an IAM Role via CloudFormation and am getting this error when trying to attach a QueuePolicy resource to an IAM::Role resource.
ARN stack-personSQSPolicy-3F02ILJ96DB1 is not valid. (Service: AmazonIdentityManagement; Status Code: 400; Error Code: InvalidInput; Request ID: 4410ba76-30ce-4d15-be3c-6d5040f971f0)
Here is my CloudFormation Role and Policy definition:
APIGatewaySQSRole:
Type: 'AWS::IAM::Role'
Properties:
AssumeRolePolicyDocument:
Statement:
- Action: 'sts:AssumeRole'
Effect: Allow
Principal:
Service: apigateway.amazonaws.com
Version: 2012-10-17
ManagedPolicyArns:
- !Ref personSQSPolicy
- 'arn:aws:iam::aws:policy/service-role/AmazonAPIGatewayPushToCloudWatchLogs'
personSQSPolicy:
Type: 'AWS::SQS::QueuePolicy'
Properties:
PolicyDocument:
Version: 2012-10-17
Statement:
Effect: Allow
Action: 'sqs:SendMessage'
Resource: !GetAtt personSQS.Arn
Queues:
- !Ref personSQS
What's the point of Type: 'AWS::SQS::QueuePolicy' If it doesn't allow the use as an Arn in the Role resource? It seems like I still have to manually create that policy in the IAM Role resource block.
Policies:
- PolicyDocument:
Statement:
- Action: sqs:SendMessage
Effect: Allow
Resource: !GetAtt 'personSQS.Arn'
PolicyName: apig-sqs-send-msg-policy
Is there a way to avoid this?
Since SQS Queues can be publicly accessible, they need a mechanism for security if people are going to access it without a role.
This is why you have a QueuePolicy AWS::SQS::QueuePolicy that you can define for the queue and it can be applied to one or more queues. It will help you define who's allowed to access it, how etc directly from the point of view of the queue.
You then attach your QueuePolicy to your Queue(s) with the Cloudformation attribute Queues (see: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sqs-policy.html#cfn-sqs-queuepolicy-queues)
If you want to define a role for accessing your queue, yes you'll have to describe kind of the same policy but this time from the point of view of the resource accessing it but I still recommend that you secure the access to your queue with a Queue Policy.
As for your last question, defining the QueuePolicy and attaching it to your queue is the right way to do it.
Watch out, the Queues attribute expect a list of Queue URLs, not ARNs.

How do I grant a rotation Lambda access to AWS Secrets Manager

Using the serverless framework, I am trying to build a Lambda function that periodically rotates a secret stored in AWS Secrets Manager.
I am having trouble configuring the roles needed for the Secret Manager to execute the Lambda. In my serverless.yml I have defined the following resources:
resources:
Resources:
RotateKeysRole:
Type: AWS::IAM::Role
Properties:
RoleName: rotate-keys-role
ManagedPolicyArns:
- arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Principal:
Service:
- lambda.amazonaws.com
- secretsmanager.amazonaws.com
Action: sts:AssumeRole
and attach this role to the rotation Lambda like this:
functions:
rotateKeys:
handler: lambdas.rotate_keys.handler
role: RotateKeysRole
Yet, when I try to set up Secrets Manager to use this Lambda for rotating secrets I will get the following error message:
Secrets Manager cannot invoke the specified Lambda function. Ensure
that the function policy grants access to the principal
secretsmanager.amazonaws.com
which puzzles me as this principal is specified. Inspecting the role in the IAM console did not reveal anything that seemed wrong to me.
How do I correctly configure the role setup in this scenario?
The procedure of setting up permissions for a lambda function which rotates AWS Secrets Manager secrets is explained in the docs. [1]
To put it in a nutshell, you need two steps:
Add a trust policy to the lambda function. This can be achieved using the CloudFormation resource AWS::Lambda::Permission in the serverless.yml file. However, it is a little bit tricky to set this up, because you need to depend on the function being created. That is why the DependsOn is necessary and its value must be structured as follows: <function-name-with-first-letter-uppercase>LambdaFunction.
Add statements for the lambda function to call the AWS Secrets Manager API to update the secret. In the following example, I added these statements (for the Single user rotation case - see docs [1]) to the customer managed policy called rotateKeysPolicy.
Note: The function name is referenced in the DependsOn attribute. It is also referenced in the condition StringEquals and the attribute FunctionName as: arn:aws:lambda:${self:custom.region}:${self:custom.accountId}:function:${self:service}-${self:provider.stage}-rotateKeys. Keep in mind to change them if you change your function name.
Here is how the serverless.yml file should look like:
service:
name: <your-service-name>
provider:
name: aws
region: '<your-region>'
custom:
region: ${self:provider.region}
accountId: <your-account-id>
resources:
Resources:
FunctionRole:
Type: AWS::IAM::Role
Properties:
RoleName: basic-function-role
ManagedPolicyArns:
- arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
Policies:
- PolicyName: rotateKeysPolicy
PolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Action:
- secretsmanager:DescribeSecret
- secretsmanager:GetSecretValue
- secretsmanager:PutSecretValue
- secretsmanager:UpdateSecretVersionStage
Resource: '*'
Condition:
StringEquals:
'secretsmanager:resource/AllowRotationLambdaArn': "arn:aws:lambda:${self:custom.region}:${self:custom.accountId}:function:${self:service}-${self:provider.stage}-rotateKeys"
- Effect: Allow
Action:
- secretsmanager:GetRandomPassword
Resource: '*'
- Effect: Allow
Action:
- ec2:CreateNetworkInterface
- ec2:DeleteNetworkInterface
- ec2:DescribeNetworkInterfaces
Resource: '*'
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Principal:
Service:
- lambda.amazonaws.com
Action: sts:AssumeRole
LambdaInvokePermission:
Type: AWS::Lambda::Permission
DependsOn: RotateKeysLambdaFunction
Properties:
FunctionName: "arn:aws:lambda:${self:custom.region}:${self:custom.accountId}:function:${self:service}-${self:provider.stage}-rotateKeys"
Action: lambda:InvokeFunction
Principal: 'secretsmanager.amazonaws.com'
functions:
rotateKeys:
handler: lambdas.rotate_keys.handler
role: FunctionRole
You have to replace <your-service-name>, <your-region>, <your-account-id> and upload your rotation code using e.g. the package -> include attributes.
Note: There are templates for the lambda function which update the secrets. [2][3]
Please also keep in mind to configure your VPC correctly for the lambda function being able to access the AWS Secrets Manager service over the network. [4]
References
[1] https://docs.aws.amazon.com/secretsmanager/latest/userguide/rotating-secrets-required-permissions.html
[2] https://docs.aws.amazon.com/secretsmanager/latest/userguide/rotating-secrets-create-generic-template.html
[3] https://github.com/aws-samples/aws-secrets-manager-rotation-lambdas
[4] https://docs.aws.amazon.com/secretsmanager/latest/userguide/rotation-network-rqmts.html
I had the same issue today. I ran this and it worked for me:
aws lambda add-permission \
--function-name ARN_of_lambda_function \
--principal secretsmanager.amazonaws.com \
--action lambda:InvokeFunction \
--statement-id SecretsManagerAccess
https://docs.aws.amazon.com/secretsmanager/latest/userguide/troubleshoot_rotation.html
Your policy is incorrect.
The service is secretsmanager but the action you defined is sts:AssumeRole which is from AWS Security Token Service.
A full access policy would be:
Effect: "Allow"
Action: "secretsmanager:*"
Resource: "*"
But you should limit the actions and the Resource the lambda can use.
For this you can use the policy builder which can be found in IAM->Policies.
After creating a policy in the editor you can click on the JSON Tab and see the format. Then you need to adapt it to your serverless yaml format.
I hope I can help you!
Dominik

Create Policy in Cloudformation Granting Access to s3 Buckets From Separate AWS Account

I have read the "Specifying Principals in a Policy" doc: https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-bucket-user-policy-specifying-principal-intro.html, and am inferring some behaviors from there and other SO (like aws lambda function getting access denied when getObject from s3) questions that do not specifically deal with Cloudformation.
I am still stumped on this error when I try to create a policy that grants a foreign role access to a local bucket. The error from Cloudformation is: Policy document should not specify a principal.
Situation Breakdown
I have two AWS accounts. Account A creates a bucket, and I want to grant Account B write access to it.
In Account A Cloudformation I have created a Policy that that grants an Account B role access to said bucket. Guide from https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html. That role exists for Account B.
AccountBWriteToS3Policy:
Type: 'AWS::IAM::Policy'
Properties:
PolicyName: AccountBWriteToS3Policy
PolicyDocument:
Version: 2012-10-17
Statement:
- Principal:
AWS: 'arn:aws:iam::123456789876:role/AccountBRole'
Effect: Allow
Action:
- 's3:PutObject'
- 's3:ListBucket'
Resource: !Sub
- '${bucketArn}/*'
- bucketArn: !GetAtt
- AccountABucket
- Arn
Roles:
- AccountARole
However, cloudformation fails to execute, and rolls back with an error
Policy document should not specify a principal.
I'm fairly stumped.
Can anyone explain this error?
Can anyone prescribe a path forward?
This seems like a simple and common need, covered in numerous examples. Maybe I'm supposed to specify the policy within the bucket declaration itself instead of creating an account-wide policy?
you need to create a role with "Trust policy" with the principle and then a "permission policy" to allow read/write access to the S3 Bucket.
Here is a snippet from my Cloudformation.
Role:
Type: "AWS::IAM::Role"
Properties:
RoleName: !Sub '${RuleName}-Role'
Path: "/"
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Principal: !Sub 'arn:aws:iam::${AccountID}:user/*'
Action: sts:AssumeRole
RolePolicies:
Type: "AWS::IAM::ManagedPolicy"
Properties:
ManagedPolicyName: !Sub '${RuleName}-RolePolicies'
Roles:
- Ref: "Role"
PolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Action:
- s3:Get*
- s3:Put*
- s3:List*
- s3:AbortMultipartUpload
Resource:
- !Ref Bucket
Ref: Cross account tutorial

Add additional individual IAM policy to serverless yaml to extend managed policy

I have a managed policy that allows or read access to a kinesis stream (AWSLambdaKinesisExecutionRole), I am trying to add additional permissions to also allow write access to PutRecord and PutRecords on to the kinesis stream.
My serverless.yml currently looks like -
resources:
Resources:
kinesisFullAccessRole:
Type: AWS::IAM::Role
Properties:
RoleName: kinesis-full-access-role
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Principal:
Service:
- lambda.amazonaws.com
Action: sts:AssumeRole
ManagedPolicyArns:
- arn:aws:iam::aws:policy/service-role/AWSLambdaKinesisExecutionRole
Policies:
- PolicyName: kinesis-write-access
PolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Action:
- kinesis:PutRecord
- kinesis:PutRecords
Resource:
- "arn:<some_arn>:stream/inbound-message-stream-dev"
I am still getting a is not authorized to perform: kinesis:PutRecord on resource error. What am I doing wrong?
If your serverless is creating the IAM role by it self you should had that to the iamRoleStatements like shown here
but it could be easier to create an IAM role in aws console and manage that yourself, and use it like here