loongson/pypi/: aws-cdk-aws-iam-1.171.0 metadata and description
CDK routines for easily assigning correct and minimal IAM permissions
author | Amazon Web Services |
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description_content_type | text/markdown |
license | Apache-2.0 |
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requires_python | ~=3.7 |
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AWS Identity and Access Management Construct Library
---Define a role and add permissions to it. This will automatically create and attach an IAM policy to the role:
role = Role(self, "MyRole", assumed_by=ServicePrincipal("sns.amazonaws.com") ) role.add_to_policy(PolicyStatement( resources=["*"], actions=["lambda:InvokeFunction"] ))
Define a policy and attach it to groups, users and roles. Note that it is possible to attach
the policy either by calling xxx.attachInlinePolicy(policy)
or policy.attachToXxx(xxx)
.
user = User(self, "MyUser", password=cdk.SecretValue.unsafe_plain_text("1234")) group = Group(self, "MyGroup") policy = Policy(self, "MyPolicy") policy.attach_to_user(user) group.attach_inline_policy(policy)
Managed policies can be attached using xxx.addManagedPolicy(ManagedPolicy.fromAwsManagedPolicyName(policyName))
:
group = Group(self, "MyGroup") group.add_managed_policy(ManagedPolicy.from_aws_managed_policy_name("AdministratorAccess"))
Granting permissions to resources
Many of the AWS CDK resources have grant*
methods that allow you to grant other resources access to that resource. As an example, the following code gives a Lambda function write permissions (Put, Update, Delete) to a DynamoDB table.
# fn: lambda.Function # table: dynamodb.Table table.grant_write_data(fn)
The more generic grant
method allows you to give specific permissions to a resource:
# fn: lambda.Function # table: dynamodb.Table table.grant(fn, "dynamodb:PutItem")
The grant*
methods accept an IGrantable
object. This interface is implemented by IAM principlal resources (groups, users and roles) and resources that assume a role such as a Lambda function, EC2 instance or a Codebuild project.
You can find which grant*
methods exist for a resource in the AWS CDK API Reference.
Roles
Many AWS resources require Roles to operate. These Roles define the AWS API calls an instance or other AWS service is allowed to make.
Creating Roles and populating them with the right permissions Statements is a necessary but tedious part of setting up AWS infrastructure. In order to help you focus on your business logic, CDK will take care of creating roles and populating them with least-privilege permissions automatically.
All constructs that require Roles will create one for you if don't specify
one at construction time. Permissions will be added to that role
automatically if you associate the construct with other constructs from the
AWS Construct Library (for example, if you tell an AWS CodePipeline to trigger
an AWS Lambda Function, the Pipeline's Role will automatically get
lambda:InvokeFunction
permissions on that particular Lambda Function),
or if you explicitly grant permissions using grant
functions (see the
previous section).
Opting out of automatic permissions management
You may prefer to manage a Role's permissions yourself instead of having the CDK automatically manage them for you. This may happen in one of the following cases:
- You don't like the permissions that CDK automatically generates and want to substitute your own set.
- The least-permissions policy that the CDK generates is becoming too big for IAM to store, and you need to add some wildcards to keep the policy size down.
To prevent constructs from updating your Role's policy, pass the object
returned by myRole.withoutPolicyUpdates()
instead of myRole
itself.
For example, to have an AWS CodePipeline not automatically add the required permissions to trigger the expected targets, do the following:
role = iam.Role(self, "Role", assumed_by=iam.ServicePrincipal("codepipeline.amazonaws.com"), # custom description if desired description="This is a custom role..." ) codepipeline.Pipeline(self, "Pipeline", # Give the Pipeline an immutable view of the Role role=role.without_policy_updates() ) # You now have to manage the Role policies yourself role.add_to_policy(iam.PolicyStatement( actions=[], resources=[] ))
Using existing roles
If there are Roles in your account that have already been created which you
would like to use in your CDK application, you can use Role.fromRoleArn
to
import them, as follows:
role = iam.Role.from_role_arn(self, "Role", "arn:aws:iam::123456789012:role/MyExistingRole", # Set 'mutable' to 'false' to use the role as-is and prevent adding new # policies to it. The default is 'true', which means the role may be # modified as part of the deployment. mutable=False )
Configuring an ExternalId
If you need to create Roles that will be assumed by third parties, it is generally a good idea to require an ExternalId
to assume them. Configuring
an ExternalId
works like this:
role = iam.Role(self, "MyRole", assumed_by=iam.AccountPrincipal("123456789012"), external_ids=["SUPPLY-ME"] )
Principals vs Identities
When we say Principal, we mean an entity you grant permissions to. This
entity can be an AWS Service, a Role, or something more abstract such as "all
users in this account" or even "all users in this organization". An
Identity is an IAM representing a single IAM entity that can have
a policy attached, one of Role
, User
, or Group
.
IAM Principals
When defining policy statements as part of an AssumeRole policy or as part of a
resource policy, statements would usually refer to a specific IAM principal
under Principal
.
IAM principals are modeled as classes that derive from the iam.PolicyPrincipal
abstract class. Principal objects include principal type (string) and value
(array of string), optional set of conditions and the action that this principal
requires when it is used in an assume role policy document.
To add a principal to a policy statement you can either use the abstract
statement.addPrincipal
, one of the concrete addXxxPrincipal
methods:
addAwsPrincipal
,addArnPrincipal
ornew ArnPrincipal(arn)
for{ "AWS": arn }
addAwsAccountPrincipal
ornew AccountPrincipal(accountId)
for{ "AWS": account-arn }
addServicePrincipal
ornew ServicePrincipal(service)
for{ "Service": service }
addAccountRootPrincipal
ornew AccountRootPrincipal()
for{ "AWS": { "Ref: "AWS::AccountId" } }
addCanonicalUserPrincipal
ornew CanonicalUserPrincipal(id)
for{ "CanonicalUser": id }
addFederatedPrincipal
ornew FederatedPrincipal(federated, conditions, assumeAction)
for{ "Federated": arn }
and a set of optional conditions and the assume role action to use.addAnyPrincipal
ornew AnyPrincipal
for{ "AWS": "*" }
If multiple principals are added to the policy statement, they will be merged together:
statement = iam.PolicyStatement() statement.add_service_principal("cloudwatch.amazonaws.com") statement.add_service_principal("ec2.amazonaws.com") statement.add_arn_principal("arn:aws:boom:boom")
Will result in:
{ "Principal": { "Service": [ "cloudwatch.amazonaws.com", "ec2.amazonaws.com" ], "AWS": "arn:aws:boom:boom" } }
The CompositePrincipal
class can also be used to define complex principals, for example:
role = iam.Role(self, "MyRole", assumed_by=iam.CompositePrincipal( iam.ServicePrincipal("ec2.amazonaws.com"), iam.AccountPrincipal("1818188181818187272")) )
The PrincipalWithConditions
class can be used to add conditions to a
principal, especially those that don't take a conditions
parameter in their
constructor. The principal.withConditions()
method can be used to create a
PrincipalWithConditions
from an existing principal, for example:
principal = iam.AccountPrincipal("123456789000").with_conditions({"StringEquals": {"foo": "baz"}})
NOTE: If you need to define an IAM condition that uses a token (such as a deploy-time attribute of another resource) in a JSON map key, use
CfnJson
to render this condition. See this test for an example.
The WebIdentityPrincipal
class can be used as a principal for web identities like
Cognito, Amazon, Google or Facebook, for example:
principal = iam.WebIdentityPrincipal("cognito-identity.amazonaws.com", { "StringEquals": {"cognito-identity.amazonaws.com:aud": "us-east-2:12345678-abcd-abcd-abcd-123456"}, "ForAnyValue:StringLike": {"cognito-identity.amazonaws.com:amr": "unauthenticated"} })
If your identity provider is configured to assume a Role with session
tags, you
need to call .withSessionTags()
to add the required permissions to the Role's
policy document:
iam.Role(self, "Role", assumed_by=iam.WebIdentityPrincipal("cognito-identity.amazonaws.com", { "StringEquals": { "cognito-identity.amazonaws.com:aud": "us-east-2:12345678-abcd-abcd-abcd-123456" }, "ForAnyValue:StringLike": { "cognito-identity.amazonaws.com:amr": "unauthenticated" } }).with_session_tags() )
Parsing JSON Policy Documents
The PolicyDocument.fromJson
and PolicyStatement.fromJson
static methods can be used to parse JSON objects. For example:
policy_document = { "Version": "2012-10-17", "Statement": [{ "Sid": "FirstStatement", "Effect": "Allow", "Action": ["iam:ChangePassword"], "Resource": "*" }, { "Sid": "SecondStatement", "Effect": "Allow", "Action": "s3:ListAllMyBuckets", "Resource": "*" }, { "Sid": "ThirdStatement", "Effect": "Allow", "Action": ["s3:List*", "s3:Get*" ], "Resource": ["arn:aws:s3:::confidential-data", "arn:aws:s3:::confidential-data/*" ], "Condition": {"Bool": {"aws:_multi_factor_auth_present": "true"}} } ] } custom_policy_document = iam.PolicyDocument.from_json(policy_document) # You can pass this document as an initial document to a ManagedPolicy # or inline Policy. new_managed_policy = iam.ManagedPolicy(self, "MyNewManagedPolicy", document=custom_policy_document ) new_policy = iam.Policy(self, "MyNewPolicy", document=custom_policy_document )
Permissions Boundaries
Permissions
Boundaries
can be used as a mechanism to prevent privilege esclation by creating new
Role
s. Permissions Boundaries are a Managed Policy, attached to Roles or
Users, that represent the maximum set of permissions they can have. The
effective set of permissions of a Role (or User) will be the intersection of
the Identity Policy and the Permissions Boundary attached to the Role (or
User). Permissions Boundaries are typically created by account
Administrators, and their use on newly created Role
s will be enforced by
IAM policies.
It is possible to attach Permissions Boundaries to all Roles created in a construct tree all at once:
# Directly apply the boundary to a Role you create # role: iam.Role # Apply the boundary to an Role that was implicitly created for you # fn: lambda.Function # Remove a Permissions Boundary that is inherited, for example from the Stack level # custom_resource: CustomResource # This imports an existing policy. boundary = iam.ManagedPolicy.from_managed_policy_arn(self, "Boundary", "arn:aws:iam::123456789012:policy/boundary") # This creates a new boundary boundary2 = iam.ManagedPolicy(self, "Boundary2", statements=[ iam.PolicyStatement( effect=iam.Effect.DENY, actions=["iam:*"], resources=["*"] ) ] ) iam.PermissionsBoundary.of(role).apply(boundary) iam.PermissionsBoundary.of(fn).apply(boundary) # Apply the boundary to all Roles in a stack iam.PermissionsBoundary.of(self).apply(boundary) iam.PermissionsBoundary.of(custom_resource).clear()
OpenID Connect Providers
OIDC identity providers are entities in IAM that describe an external identity provider (IdP) service that supports the OpenID Connect (OIDC) standard, such as Google or Salesforce. You use an IAM OIDC identity provider when you want to establish trust between an OIDC-compatible IdP and your AWS account. This is useful when creating a mobile app or web application that requires access to AWS resources, but you don't want to create custom sign-in code or manage your own user identities. For more information about this scenario, see [About Web Identity Federation] and the relevant documentation in the [Amazon Cognito Identity Pools Developer Guide].
The following examples defines an OpenID Connect provider. Two client IDs (audiences) are will be able to send authentication requests to https://openid/connect.
provider = iam.OpenIdConnectProvider(self, "MyProvider", url="https://openid/connect", client_ids=["myclient1", "myclient2"] )
You can specify an optional list of thumbprints
. If not specified, the
thumbprint of the root certificate authority (CA) will automatically be obtained
from the host as described
here.
Once you define an OpenID connect provider, you can use it with AWS services that expect an IAM OIDC provider. For example, when you define an Amazon Cognito identity pool you can reference the provider's ARN as follows:
import aws_cdk.aws_cognito as cognito # my_provider: iam.OpenIdConnectProvider cognito.CfnIdentityPool(self, "IdentityPool", open_id_connect_provider_arns=[my_provider.open_id_connect_provider_arn], # And the other properties for your identity pool allow_unauthenticated_identities=False )
The OpenIdConnectPrincipal
class can be used as a principal used with a OpenIdConnectProvider
, for example:
provider = iam.OpenIdConnectProvider(self, "MyProvider", url="https://openid/connect", client_ids=["myclient1", "myclient2"] ) principal = iam.OpenIdConnectPrincipal(provider)
SAML provider
An IAM SAML 2.0 identity provider is an entity in IAM that describes an external identity provider (IdP) service that supports the SAML 2.0 (Security Assertion Markup Language 2.0) standard. You use an IAM identity provider when you want to establish trust between a SAML-compatible IdP such as Shibboleth or Active Directory Federation Services and AWS, so that users in your organization can access AWS resources. IAM SAML identity providers are used as principals in an IAM trust policy.
iam.SamlProvider(self, "Provider", metadata_document=iam.SamlMetadataDocument.from_file("/path/to/saml-metadata-document.xml") )
The SamlPrincipal
class can be used as a principal with a SamlProvider
:
provider = iam.SamlProvider(self, "Provider", metadata_document=iam.SamlMetadataDocument.from_file("/path/to/saml-metadata-document.xml") ) principal = iam.SamlPrincipal(provider, { "StringEquals": { "SAML:iss": "issuer" } })
When creating a role for programmatic and AWS Management Console access, use the SamlConsolePrincipal
class:
provider = iam.SamlProvider(self, "Provider", metadata_document=iam.SamlMetadataDocument.from_file("/path/to/saml-metadata-document.xml") ) iam.Role(self, "Role", assumed_by=iam.SamlConsolePrincipal(provider) )
Users
IAM manages users for your AWS account. To create a new user:
user = iam.User(self, "MyUser")
To import an existing user by name with path:
user = iam.User.from_user_name(self, "MyImportedUserByName", "johnsmith")
To import an existing user by ARN:
user = iam.User.from_user_arn(self, "MyImportedUserByArn", "arn:aws:iam::123456789012:user/johnsmith")
To import an existing user by attributes:
user = iam.User.from_user_attributes(self, "MyImportedUserByAttributes", user_arn="arn:aws:iam::123456789012:user/johnsmith" )
Access Keys
The ability for a user to make API calls via the CLI or an SDK is enabled by the user having an access key pair. To create an access key:
user = iam.User(self, "MyUser") access_key = iam.AccessKey(self, "MyAccessKey", user=user)
You can force CloudFormation to rotate the access key by providing a monotonically increasing serial
property. Simply provide a higher serial value than any number used previously:
user = iam.User(self, "MyUser") access_key = iam.AccessKey(self, "MyAccessKey", user=user, serial=1)
An access key may only be associated with a single user and cannot be "moved" between users. Changing the user associated with an access key replaces the access key (and its ID and secret value).
Groups
An IAM user group is a collection of IAM users. User groups let you specify permissions for multiple users.
group = iam.Group(self, "MyGroup")
To import an existing group by ARN:
group = iam.Group.from_group_arn(self, "MyImportedGroupByArn", "arn:aws:iam::account-id:group/group-name")
To import an existing group by name with path:
group = iam.Group.from_group_name(self, "MyImportedGroupByName", "group-name")
To add a user to a group (both for a new and imported user/group):
user = iam.User(self, "MyUser") # or User.fromUserName(stack, 'User', 'johnsmith'); group = iam.Group(self, "MyGroup") # or Group.fromGroupArn(stack, 'Group', 'arn:aws:iam::account-id:group/group-name'); user.add_to_group(group) # or group.add_user(user)
Features
- Policy name uniqueness is enforced. If two policies by the same name are attached to the same principal, the attachment will fail.
- Policy names are not required - the CDK logical ID will be used and ensured to be unique.
- Policies are validated during synthesis to ensure that they have actions, and that policies attached to IAM principals specify relevant resources, while policies attached to resources specify which IAM principals they apply to.