Deep Dive into Azure AD and AWS SSO Integration – Part 3

Deep Dive into Azure AD and AWS SSO Integration – Part 3

Back for more are you?

Over the past few posts I’ve been covering the new integration between Azure AD and AWS SSO.  The first post covered high level concepts of both platforms and some of the problems with the initial integration which used the AWS app in the Azure Marketplace.  In the second post I provided a deep dive into the traditional integration with AWS using a non-Azure AD security token service like AD FS (Active Directory Federation Services), what the challenges were, how the new integration between Azure AD and AWS SSO addresses those challenges, and the components that make up both the traditional and the new solution.  If you haven’t read the prior posts, I highly recommend you at least read through the second post.

Azure AD and AWS SSO Integration

New Azure AD and AWS SSO Integration

In this post I’m going to get my hands dirty and step through the implementation steps to establish the SAML trust between the two platforms.  I’ve setup a fairly simple lab environment in Azure.  The lab environment consists of a single VNet (virtual network) with a four virtual machines with the following functions:

  • dc1 – Windows Active Directory domain controller for jogcloud.com domain
  • adcs – Active Directory Certificate Services
  • aadc1 – Azure Active Directory Connect (AADC)
  • adfs1 – Active Directory Federation Services

AADC has been configured to synchronize to the jogcloud.com Azure Active Directory tenant.  I’ve configured federated authentication in Azure AD with the AD FS server acting as an identity provider and Windows Active Directory as the credential services provider.

visio of lab environment

Lab Environment

On the AWS side I have three AWS accounts setup associated with an AWS Organization.  AWS SSO has not yet been setup in the master account.

Let’s setup it up, shall we?

The first thing you’ll need to do is log into the AWS Organization master account with an account with appropriate permissions to enable AWS SSO for the organization.  If you’ve never enabled AWS SSO before, you’ll be greeted by the following screen.

1.png

Click the Enable AWS SSO button and let the magic happen in the background.  That magic is provisioning of a service-linked role for AWS SSO in each AWS account in the organization.  This role has a set of permissions which include the permission to write to the AWS IAM instance in the child account.  This is used to push the permission sets configured in AWS SSO to IAM roles in the accounts.

Screenshot of AWS SSO IAM Role

AWS SSO Service-Linked IAM Role

After about a minute (this could differ depending on how many AWS accounts you have associated with your organization), AWS SSO is enabled and you’re redirected to the page below.

Screenshot of AWS SSO successfully enabled page

AWS SSO Successfully Enabled

Now that AWS SSO has been configured, it’s time to hop over to the Azure Portal.  You’ll need to log into the portal as a user with sufficient permissions to register new enterprise applications.  Once logged in, go into the Azure Active Directory blade and select the Enterprise Applications option.

Register new Enterprise Application

Register new Enterprise Application

Once the new blade opens select the New Application option.

Register new application

Register new application

Choose the Non-gallery application potion since we don’t want to use the AWS app in the Azure Marketplace due to the issues I covered in the first post.

Choose Non-gallery application

Choose Non-gallery application

Name the application whatever you want, I went with AWS SSO to keep it simple.  The registration process will take a minute or two.

Registering application

Registering application

Once the process is complete, you’ll want to open the new application and to go the Single sign-on menu item and select the SAML option.  This is the menu where you will configure the federated trust between your Azure AD tenant and AWS SSO on the Azure  AD end.

SAML Configuration Menu

SAML Configuration Menu

At this point you need to collect the federation metadata containing all the information necessary to register Azure AD with AWS SSO.  To make it easy, Azure AD provides you with a link to directly download the metadata.

Download federation metadata

Download federation metadata

Now that the new application is registered in Azure AD and you’ve gotten a copy of the federation metadata, you need to hop back over to AWS SSO.  Here you’ll need to go to Settings.  In the settings menu you can adjust the identity source, authentication, and provisioning methods for AWS SSO.  By default AWS SSO is set to use its own local directory as an identity source and itself for the other two options.

AWS SSO Settings

AWS SSO Settings

Next up, you select the Change option next to the identity source.  As seen in the screenshot below, AWS SSO can use its own local directory, an instance of Managed AD or BYOAD using the AD Connector, or an external identity provider (the new option).  Selecting the External Identity Provider option opens up the option to configure a SAML trust with AWS SSO.

Like any good authentication expert, you know that you need to configure the federated trust on both the identity provider and service provider.  To do this we need to get the federation metadata from AWS SSO, which AWS has been lovely enough to also provide it to us via a simple download link which you’ll want to use to get a copy of the metadata we’ll later import into Azure AD.

Now you’ll need to upload the federation metadata you downloaded from Azure AD in the Identity provider metadata section.  This establishes the trust in AWS SSO for assertions created from Azure AD.  Click the Next: Review button and complete the process.

AWS SSO Identity Sources

Configure SAML trust

You’ll be asked to confirm changing the identity source.  There a few key points I want to call out in the confirmation page.

  • AWS SSO will preserve your existing users and assignments -> If you have created existing AWS SSO users in the local directory and permission sets to go along with them, they will remain even after you enable it but those users will no longer be able to login.
  • All existing MFA configurations will be deleted when customer switches from AWS SSO to IdP.  MFA policy controls will be managed on IdP -> Yes folks, you’ll now need to handle MFA.  Thankfully you’re using Azure AD so you plenty of options there.
  • All items about provisioning – You have to option to manually provision identities into AWS SSO or use the SCIM endpoint to automatically provision accounts.  I won’t be covering it, but I tested manual provisioning and the single sign-on aspect worked flawless.  Know it’s an option if you opt to use another IdP that isn’t as fully featured as Azure AD.
Confirmation prompt

Confirmation prompt

Because I had to, I popped up the federation metadata to see what AWS requiring in the order of claims in the SAML assertion.  In the screenshot below we see is requesting the single claim of nameid-format:emailaddress.  This value of this claim will be used to map the user to the relevant identity in AWS SSO.

AWS SSO Metadata

Back to the Azure Portal once again where you’ll want to hop back to Single sign-on blade of the application you registered.  Here you’ll click the Upload metadata file button and upload the AWS metadata.

Uploading AWS federation metadata

Uploading AWS federation metadata

After the upload is successful you’ll receive a confirmation screen.  You can simple hit the Save button here and move on.

Confirming SAML

Confirming SAML

At this stage you’ve now registered your Azure AD tenant as an identity provider to AWS SSO.  If you were using a non-Azure AD security token service, you could now manually provision your users AWS SSO, create the necessary groups and permissions sets, and administer away.

I’ll wrap up there and cover the SCIM provisioning in the next post.  To sum it up, in this post we configured AWS SSO in the AWS Organization and established the SAML federated trust between the Azure AD tenant and AWS SSO.

See you next post!

Deep Dive into Azure AD and AWS SSO Integration – Part 2

Deep Dive into Azure AD and AWS SSO Integration – Part 2

Welcome back folks.

Today I’ll be continuing my series on the new integration between Azure AD and AWS SSO.  In my last post I covered the challenges with the prior integration between the two platforms, core AWS concepts needed to understand the new integration, and how the new integration addresses the challenges of the prior integration.

In this post I’m going to give some more context to the challenges covered in the first post and then provide an overview of the what the old and new patterns look like.  This will help clarify the value proposition of the integration for those of you who may still not be convinced.

The two challenges I want to focus on are:

  1. The AWS app was designed to synchronize identity data between AWS and Azure AD for a single AWS account
  2. The SAML trust between Azure AD and an AWS account had to be established separately for each AWS account.

Challenge 1 was unique to the Azure Marketplace AWS app because they were attempting to solve the identity lifecycle management problem.  Your security token service (STS) needs to pass a SAML assertion which includes the AWS IAM roles you are asserting for the user.  Those roles need to be mapped to the user somewhere for your STS to tap into them.  This is a problem you’re going to feel no matter what STS you use, so I give the team that put together the AWS app together credit for trying.

The folks over at AWS came up with an elegant solution requiring some transformation in the claims passed in the SAML token and another solution to store the roles in commonly unused attributes in Active Directory.  However, both solutions suffered the same problem in that you’re forced to workaround that mapping, which becomes considerably difficult as you began to scale to hundreds of AWS accounts.

Challenge 2 plagues all STSs because the SAML trust needs to be created for each and every AWS account.  Again, something that begins to get challenging as you scale.

AWS Past Integration

AWS Past Integration

In the image above, we see an example of how some enterprises addressed these problems.  We see that there is some STS in use acting as an identity provider (idP) (could be Azure AD, Okta, Ping, AD FS, whatever) that has a SAML trust with each AWS account.  The user to AWS IAM role mappings are included in an attribute of the user’s Active Directory user account.  When the user attempts to access AWS, the STS queries Active Directory for the information.  There is a custom process (manual or automated) that queries each AWS account for a list of AWS IAM Roles that are associated with the IdP in the AWS account.  These roles are then populated in the attribute for each relevant user account.  Lastly, CloudFormation is used to push IAM Roles to each AWS account.  This could be pushed through a manual process or a CI/CD pipeline.

Yeah this works, but who wants all that overhead?  Let’s look at the new method.

Azure AD and AWS SSO Integration

Azure AD and AWS SSO Integration

In the new integration where we use Azure AD and AWS SSO together, we now only need to establish a single SAML trust with AWS SSO.  Since AWS SSO is integrated with AWS Organizations it can be used as a centralized identity source for all AWS accounts within the organization.  Additionally, we can now leverage Azure AD to manage the synchronization of identity data (users and groups) from Azure AD to AWS SSO.  We then map our users or groups to permission sets (collections of IAM policies) in AWS SSO which are then provisioned as IAM roles in the relevant AWS accounts.  If we want to add a user to a role in AWS IAM, we can add that user to the relevant group in Azure AD and wait for the synchronization process to occur.  Once it’s complete, that user will have access to that IAM role in the relevant accounts.  A lot less work, right?

Let’s sum up what changes here:

  • We can use existing processes already in place to move users in and out of groups either on-premises in Windows AD (that is syncing to Azure AD with Azure AD Connect) or directly in Azure AD (if we’re not syncing from Windows AD).
  • Group to role mappings are now controlled in AWS SSO
  • Permission sets (or IAM policies for the IAM roles) are now centralized in AWS SSO
  • We no longer have to provision the IAM roles individually into each AWS account, we can centrally control it in AWS SSO

Cool right?

In my few posts I’ll begin walking through the integration an demonstrating some the solution.

Thanks!

Deep Dive into Azure Managed Identities – Part 2

Welcome back fellow geeks for the second installment in my series on Azure Managed Identities.  In the first post I covered the business problem and the risks Managed Identities address and in this post I’ll be how managed identities are represented in Azure.

Let’s start by walking through the components that make managed identities possible.

The foundational component of any identity is the data store in which the identity lives in.  In the case of managed identities, like much of the rest of the identity data for the Microsoft cloud, the data store is Azure Active Directory.  For those of you coming from the traditional on-premises environment and who have had experience with your traditional directories such as Active Directory or one of the many flavors of LDAP, Azure Active Directory (Azure AD) is an Identity-as-a-Service which includes a directory component we can think of as a next generation directory.  This means it’s designed to be highly scalable, available, and resilient and be provided to you in “as a service” model where a simple management layer sits in front of all the complexities of the compute, network, and storage infrastructure that makes up the directory.  There are a whole bunch of other cool features such as modern authentication, contextual authorization, adaptive authentication, and behavioral analytics that come along with the solution so check out the official documentation to learn about those capabilities.  If you want to nerd out on the design of that infrastructure you can check out this whitepaper and this article.

It’s worthwhile to take a moment to cover Azure AD’s relationship to Azure.  Every resource in Azure is associated with an Azure subscription.  An Azure subscription acts as a legal and payment agreement (think type of Azure subscription, pay-as-you-go, Visual Studio, CSP, etc), boundary of scale (think limits to resources you can create in a subscription), and administrative boundary.  Each Azure subscription is associated with a single instance of Azure AD.  Azure AD acts as the security boundary for an organization’s space in Azure and serves as the identity backend for the Azure subscription.  You’ll often hear it referred to as “your tenant” (if you’re not familiar with the general cloud concept of tenancy check out this CSA article).

Azure AD stores lots of different object types including users, groups, and devices.  The object type we are interested in for the purposes of managed identity are service principals.  Service principals act as the security principals for non-humans (such as applications or Azure resources like a VM) in Azure AD.  These service principals are then granted permissions to access resources in Azure by being assigned permissions to Azure resources such as an instance of Azure Key Vault or an Azure Storage account.  Service principals are used for a number of purposes beyond just Managed Identities such as identities for custom developed applications or third-party applications

Given that the service principals can be used for different purposes, it only makes sense that the service principal object type includes an attribute called the serviceprincipaltype.  For example, a third-party or custom developed application that is registered with Azure AD uses the service principal type of Application while a managed identity has the value set to ManagedIdentity.  Let’s take a look at an example of the serviceprincipaltypes in a tenant.

In my Geek In The Weeds tenant I’ve created a few application identities by registering the applications and I’ve created a few managed identities.  Everything else within the tenant is default out of the box.  To list the service principals in the directory I used the AzureAD PowerShell module.  The cmdlet that can be used to list out the service principals is the Get-AzureADServicePrincipal.  By default the cmdlet will only return the 100 results, so you need to set the All parameter to true.  Every application, whether it’s Exchange Online or Power BI, it needs an identity in your tenant to interact with it and resources you create that are associated with the tenant.  Here are the serviceprincipaltypes in my Geek In The Weeds tenant.

serviceprincipaltype.PNG

Now we know the security principal used by a Managed Identity is stored in Azure AD and is represented by a service principal object.  We also know that service principal objects have different types depending on how they’re being used and the type that represents a managed identity has a type of ManagedIdentity.  If we want to know what managed identities exist in our directory, we can use this information to pull a list using the Get-AzureADServicePrincipal.

We’re not done yet!  Managed Identities also come in multiple flavors, either system-assigned or user-assigned.  System-assigned managed identities are the cooler of the two in that they share the lifecycle of the resource they’re used by.  For example, a system-assigned managed identity can be created when an Azure Function is created thus that the identity will be deleted once the Azure VM is deleted.  This presents a great option for mitigating the challenge of identity lifecycle management.  By Microsoft handling the lifecyle of these identities each resource could potentially have its own identity making it easier to troubleshoot issues with the identity, avoid potential outages caused by modifying the identity, adhering to least privilege and giving the identity only the permissions the resource requires, and cutting back on support requests by developers to info sec for the creation of identities.

Sometimes it may be desirable to share a managed identity amongst multiple Azure resources such as an application running on multiple Azure VMs.  This use case calls for the other type of managed identity, user-assigned.  These identities do not share the lifecycle of the resources using them.

Let’s take a look at the differences between a service principal object for a user-assigned vs a system-assigned managed identity.  Here I ran another Get-AzureADServicePrincipal and limited the results to serviceprincipaltype of ManagedIdentity.

ObjectId                           : a3e9d372-242e-424b-b97a-135116995d4b
ObjectType                         : ServicePrincipal
AccountEnabled                     : True
AlternativeNames                   : {isExplicit=False, /subscriptions//resourcegroups/managedidentity/providers/Microsoft.Compute/virtualMachines/systemmis}
AppId                              : b7fa9389-XXXX
AppRoleAssignmentRequired          : False
DisplayName                        : systemmis
KeyCredentials                     : {class KeyCredential {
                                       CustomKeyIdentifier: System.Byte[]
                                       EndDate: 11/11/2019 12:39:00 AM
                                       KeyId: f8e439a8-071b-45e0-9f8e-ac10b058a5fb
                                       StartDate: 8/13/2019 12:39:00 AM
                                       Type: AsymmetricX509Cert
                                       Usage: Verify
                                       Value:
                                     }
                                     }
ServicePrincipalNames              : {b7fa9389-XXXX, https://identity.azure.net/XXXX}
ServicePrincipalType               : ManagedIdentity
------------------------------------------------
ObjectId                           : ac960ac7-ca03-4ac0-a7b8-d458635b293b
ObjectType                         : ServicePrincipal
AccountEnabled                     : True
AlternativeNames                   : {isExplicit=True,
                                     /subscriptions//resourcegroups/managedidentity/providers/Microsoft.ManagedIdentity/userAssignedIdentities/testing1234}
AppId                              : fff84e09-XXXX
AppRoleAssignmentRequired          : False
AppRoles                           : {}
DisplayName                        : testing1234
KeyCredentials                     : {class KeyCredential {
                                       CustomKeyIdentifier: System.Byte[]
                                       EndDate: 11/7/2019 1:49:00 AM
                                       KeyId: b3c1808d-6778-4004-b23f-4d339ed0a91f
                                       StartDate: 8/9/2019 1:49:00 AM
                                       Type: AsymmetricX509Cert
                                       Usage: Verify
                                       Value:
                                     }
                                     }
ServicePrincipalNames              : {fff84e09-XXXX, https://identity.azure.net/XXXX}
ServicePrincipalType               : ManagedIdentity


In the above results we can see that the main difference between the user-assigned (testing1234) and system-assigned (systemmis) is the within the AlternativeNames property.  For the system-assigned identity has values of isExplicit set to False and has another value of /subscriptions//resourcegroups/managedidentity/
providers/Microsoft.Compute/virtualMachines/systemmis
Notice the bolded portion specifies this is being used by a virtual machine named systemmis.  The user-assigned identity has the isExplicit set to True and another property with the value of /subscriptions//resourcegroups/managedidentity/
providers/Microsoft.ManagedIdentity/userAssignedIdentities/testing1234
.  Here we can see the identity is an “explicit” managed identity and is not directly linked to an Azure resource.

This difference gives us the ability to quickly report on the number of system-assigned and user-assigned managed identities in a tenant by using the following command.

Get-AzureADServicePrincipal -All $True | Where-Object AlternativeNames -like “isExplicit=True*”

True would give us user-assigned and False would give us system-assigned.  Neat right?

Let’s summarize what we’ve learned:

  • An object in Azure Active Directory is created for each managed identity and represents its security principal
  • The type of object created is a service principal
  • There are multiple service principal types and the one used by a Managed Identity is called ManagedIdentity
  • There are two types of managed identities, user-assigned and system-assigned
  • System-assigned managed identities share the lifecycle of the resource they are associated with while user-assigned managed identities are created separately from the resource, do not share the resource lifecycle, and can be used across multiple resources
  • The object representing a user-assigned managed identity has a unique value of isExplicit=True for the AlternativeNames property while a system-assigned managed identity has that value of isExplicit=False.

That’s it for this post folks.  In the next post I’ll walk through the process of creating a managed identity for an Azure VM and will demonstrate with a bit of Python code how we can use the managed identity to access a secret stored in Azure Key Vault.

See you next post!

Deep Dive into Azure Managed Identities – Part 1

“I love the overhead of password management” said no one ever.

Password management is hard.  It’s even harder when you’re managing the credentials for non-humans, such as those used by an application.  Back in the olden days when the developer needed a way to access an enterprise database or file share, they’d put in a request with help desk or information security to have an account (often referred to as a service account) provisioned in Windows Active Directory, an LDAP, or a SQL database.  The request would go through a business approval and some support person would created the account, set the password, and email the information to the developer.  This process came with a number of risks:

  • Risk of compromise of the account
  • Risk of abuse of the account
  • Risk of a significant outage

These risks arise due to the following gaps in the process:

  • Multiple parties knowing the password (the party who provisions the account and the developer)
  • The password for the account being communicated to the developer unencrypted such as plain text in an email
  • The password not being changed after it is initially set due to the inability or difficult to change the password
  • The password not being regularly rotated due to concerns over application outages
  • The password being shared with other developers and the account then being used across multiple applications without the dependency being documented

Organizations tried to mitigate the risk of compromise by performing such actions as requiring a long and complex password, delivering the password in an encrypted format such as an encrypted Microsoft Office document, instituting policy requiring the password to be changed (exceptions with this one are frequent due to outage concerns), implementing password vaulting and management such as CyberArk Enterprise Password Vault or Hashicorp Vault, and instituting behavioral monitoring solutions to check for abuse.  Password rotation and monitoring are some of the more effective mitigations but can also be extremely challenging and costly to institute at a scale even with a vaulting and management solution.  Even then, there are always the exceptions to the systems with legacy applications which are not compatible (sadly these are often some of the more critical systems).

When the public cloud came around the credential management challenge for application accounts exploded due to the most favored traits of a public cloud which include on-demand self-service and rapid elasticity and scalability.  The challenge that was a few hundred application identities has grown quickly into thousands of applications and especially containers and serverless functions such as AWS Lambda and Azure Functions.  Beyond the volume of applications, the public cloud also changes the traditional security boundary due to its broad network access trait.  Instead of the cozy feeling multiple firewalls gave you, you now have developers using cloud services such as storage or databases which are directly administered via the cloud management plane which is exposed directly to the Internet.  It doesn’t stop here folks, you also have developers heavily using SaaS-based version control solutions to store the code which may have credentials hardcoded into it potentially publicly exposing those credentials.

Thankfully the public cloud providers have heard the cries of us security folk and have been working hard to help address the problem.  One method in use is the creation of security principals which are designed around the use of temporary credentials.  This way there are no long standing credentials to share, compromise, or abuse.  Amazon has robust use of this concept in AWS using IAM Roles.  Instead of hardcoding a set of IAM User credentials in a Lambda or an application running on an EC2 instance, a role can be created with the necessary permissions required for the application and be assumed by either the Lambda service or EC2 instance.

For this series of posts I’m going to be focusing on one of Microsoft Azure’s solutions to this problem, which are called Managed Identities.  For you folks that are more familiar with AWS, Managed Identities conceptually work the same was as IAM Roles.  A security principal is created, permissions are granted, and the identity is assumed by a resource such as an Azure Web App or an Azure VM.  There are some features that differ from IAM Roles that add to the appeal of Managed Identities such as associating the identity lifecycle of the Managed Identity to the resource such that when the resource is created, the managed identity is created, and when the resource is destroyed, the identity is destroy.

In the next entry I will do a deeper dive into what a managed identity looks like behind the scenes.

See you soon fellow geek!