SECRET-SEN CyberArk Sentry Secrets Manager Question and Answers

Conjur is a secrets management solution that securely stores and manages secrets and credentials used by applications, DevOps tools, and other systems. Conjur can be deployed in different scenarios, depending on the needs and preferences of the organization. One of the possible deployment scenarios is to deploy the Leader cluster outside a Kubernetes environment, and the Followers and Standbys inside or outside the environment.

The Leader cluster is the primary node that handles all write operations and coordinates the replication of data to the Follower and Standby nodes. The Leader cluster consists of one active Leader node and one or more Standby nodes that can be promoted to Leader in case of a failure. The Leader cluster can be deployed outside a Kubernetes environment, such as on a virtual machine or a physical server, using Docker or other installation methods. This can provide more control and flexibility over the configuration and management of the Leader cluster, as well as better performance and security.

The Follower and Standby nodes are read-only replicas of the Leader node that can serve requests from clients and applications that need to retrieve secrets or perform other read-only operations. The Follower and Standby nodes can be deployed inside or outside a Kubernetes environment, depending on the use case and the availability requirements. For example, if the clients and applications are running inside a Kubernetes cluster, it may be convenient and efficient to deploy the Follower and Standby nodes inside the same cluster, using Helm charts or other methods. This can reduce the network latency and complexity, and leverage the Kubernetes features such as service discovery, load balancing, and health checks. Alternatively, if the clients and applications are running outside a Kubernetes cluster, or if there is a need to distribute the Follower and Standby nodes across different regions or availability zones, it may be preferable to deploy the Follower and Standby nodes outside the Kubernetes cluster, using Docker or other methods. This can provide more scalability and resiliency, and avoid the dependency on the Kubernetes cluster.

References = Conjur Deployment Scenarios; Conjur Cluster Installation; Conjur Kubernetes Integration

 According to the CyberArk Sentry Secrets Manager documentation, the Secrets Provider for Kubernetes can be deployed as an init container or a sidecar in Push-to-File mode. In Push-to-File mode, the Secrets Provider pushes Conjur secrets to one or more secrets files in a shared volume in the same Pod as the application container. The application container can then consume the secrets files from the shared volume. The deployment option that should be used to support rotation with Push-to-File mode is the sidecar, because the sidecar can run continuously and check for updates to the secrets in Conjur. If changes are detected, the sidecar can update the secrets files in the shared volume. The init container, on the other hand, runs to completion and does not support rotation. The application container and the service broker are not valid deployment options for the Secrets Provider for Kubernetes in Push-to-File mode. References: 1: Secrets Provider - Init container/Sidecar - Push-to-File mode 2: Secrets Provider - init container/sidecar - Push-to-File mode

 The correct order of the steps is:

• Define the Application with the desired authentication details
• Add the Application ID and Application Provider ID to the safe with appropriate permissions
• Configure application to call the appropriate REST API to retrieve the secret and test

Explanation: To allow an application to retrieve a secret with the CCP, the following steps are required:

• Define the Application with the desired authentication details: This step involves creating an Application object in the Vault with a unique Application ID and an Application Provider ID. The Application Provider ID is used to identify the CCP instance that will serve the request. The Application object also defines the authentication method and parameters that the application will use to connect to the CCP, such as certificate, password, or AppRole.
• Add the Application ID and Application Provider ID to the safe with appropriate permissions: This step involves granting the Application object the necessary permissions to access the safe and the secret that it needs. The Application ID and the Application Provider ID are added as members of the safe with at least List and Retrieve permissions. The secret name or ID can also be specified as a restriction to limit the access to a specific secret within the safe.
• Configure application to call the appropriate REST API to retrieve the secret and test: This step involves configuring the application to send a REST API request to the CCP endpoint with the required parameters, such as the Application ID, the Application Provider ID, the safe name, and the secret name or ID. The application should also provide the authentication credentials or token that match the method defined in the Application object. The application should receive a JSON response from the CCP with the secret value and other metadata. The application should test the connection and the secret retrieval before deploying to production.

References:

• CyberArk Secrets Manager
• Sentry - Secrets Manager - Sample Items & Study Guide
• Sentry - Secrets
• Secrets Management Essentials for Developers

The most likely cause for this issue is A. malformed Policy file. A 422 Response from Conjur indicates that the request was well-formed but was unable to be followed due to semantic errors. A common semantic error when loading policy is having a malformed Policy file, which means that the Policy file does not follow the correct syntax, structure, or logic of the Conjur Policy language. A malformed Policy file can result from typos, missing or extra characters, incorrect indentation, invalid references, or other mistakes that prevent Conjur from parsing and applying the Policy file. The message that accompanies the 422 Response will usually provide more details about the error and the location of the problem in the Policy file.

To resolve this issue, you should review the Policy file and check for any errors or inconsistencies. You can use a YAML validator or a text editor with syntax highlighting to help you identify and correct any syntax errors. You can also use the Conjur Policy Simulator to test and debug your Policy file before loading it to Conjur. The Conjur Policy Simulator is a web-based tool that allows you to upload your Policy file and see how it will affect the Conjur data model, without actually loading it to Conjur. You can also use the Conjur Policy Simulator to compare different versions of your Policy file and see the changes and conflicts between them. For more information, refer to the following resources:

• Policy - CyberArk, Section “Policy”
• Policy Language - CyberArk, Section “Policy Language”
• Conjur Policy Simulator - CyberArk, Section “Conjur Policy Simulator”

The correct answer is A. On the new Leader, generate a Standby seed for the old Leader node and add it to the cluster member list. Rebuild the old Leader as a new Standby and then re-enroll the node to the cluster.

This is the recommended way to repair the cluster health after an auto-failover event, according to the CyberArk Sentry Secrets Manager documentation1. This method reuses the original Leader as a new Standby, without affecting the new Leader or the other Standby. The steps are as follows:

• On the new Leader, generate a Standby seed for the old Leader node using the command evoke seed standby . This will create a file named .tar in the current directory.
• On the new Leader, add the old Leader node to the cluster member list using the command evoke cluster add .
• On the old Leader server, stop and remove the container using the commands docker stop  and docker rm .
• On the old Leader server, copy the Standby seed file from the new Leader using the command scp :.tar .
• On the old Leader server, create a new container using the same name as the one you just destroyed, and load the Standby seed file using the command docker run --name -d --restart=always -v /var/log/conjur:/var/log/conjur -v /opt/conjur/backup:/opt/conjur/backup -p "443:443" -p "5432:5432" -p "1999:1999" cyberark/conjur:latest seed fetch .tar
• On the old Leader server, re-enroll the node to the cluster using the command evoke cluster enroll

The other options are not correct, as they either involve unnecessary or harmful steps, such as rebuilding the new Leader or the other Standby, or re-uploading the auto-failover policy in replace mode, which may cause data loss or inconsistency.

According to the CyberArk Sentry Secrets Manager documentation, Conjur is a secrets management solution that consists of a leader node and one or more follower nodes. The leader node is responsible for managing the secrets, policies, and audit records, while the follower nodes are read-only replicas that can serve secrets requests from applications. To achieve high availability in AWS cloud infrastructure, the minimally viable Conjur deployment architecture is to have one follower in each availability zone (AZ) and a load balancer for the region. This way, if one AZ fails, the applications can still access secrets from another AZ through the load balancer. Having two followers in each region, load balanced for the region, is not enough to ensure high availability, as a regional outage can affect both followers. Having two followers in each AZ, load balanced for the region, is more than necessary, as one follower per AZ can handle the secrets requests. Having two followers in each region, load balanced across all regions, is not feasible, as Conjur does not support cross-region replication. References: 1: Conjur Architecture 2: Deploying Conjur on AWS

In the event of a Leader failure, you can perform a manual failover to promote one of the Standbys to be the new Leader. The manual failover process consists of the following steps:

• Suspend replication for all Standbys and Followers and identify the best failover candidate. This step ensures that no data is lost or corrupted during the failover process. The best failover candidate is the Standby with the most advanced replication timeline, which means it has the most up-to-date data from the Leader.
• Promote the failover candidate to be the new Leader. This step changes the role of the failover candidate from a Standby to a Leader, and updates its configuration accordingly. The new Leader can now accept write requests from clients and replicate data to other nodes.
• Restore replication. This step re-establishes the replication connections between the new Leader and the other nodes, and rebases the replication of the other Standbys and Followers to the new Leader. This ensures that all nodes have the same data and are in sync with the new Leader.

References: The manual failover configuration steps are explained in detail in the Configure Manual Failover section of the CyberArk Conjur Enterprise documentation. The image in the question is taken from the same source.

This is the correct answer because a minimal Conjur deployment that integrates with an existing CyberArk PAM Vault environment, supports high availability, and is redundant across two geographically disparate regions requires the following servers:

• 2 Linux servers for the Conjur master cluster, one in each region. The master cluster consists of a leader and a standby node that can automatically failover in case of a leader failure. The leader node performs read/write operations on the Conjur database and policy engine, while the standby node replicates the leader data and can be promoted to leader if needed. The master cluster also hosts the Conjur UI and API endpoints.
• 4 Linux servers for the Conjur follower clusters, two in each region. The follower clusters consist of one or more follower nodes that perform read-only operations on the Conjur database and policy engine, such as authentication, authorization, and secret retrieval. The follower clusters are horizontally scalable and can be configured behind a load balancer to handle high volumes of requests from applications and clients. The follower clusters also host the Conjur Synchronizer service, which synchronizes secrets from the CyberArk PAM Vault to the Conjur database.
• 2 Linux servers for the Conjur seed fetcher service, one in each region. The seed fetcher service is a utility that runs on a separate server and periodically fetches the Conjur seed files from the master cluster and distributes them to the follower clusters. The seed files contain the configuration and encryption keys that are required to join a follower node to the Conjur cluster. The seed fetcher service ensures that the follower clusters are always updated with the latest seed files and can join the Conjur cluster without manual intervention.
• 2 Windows servers for the CyberArk Central Credential Provider (CCP), one in each region. The CCP is a component that provides secure and centralized credential management for applications and clients that need to access secrets from the CyberArk PAM Vault. The CCP exposes a web service interface that allows applications and clients to request credentials based on their identity and permissions. The CCP integrates with the Conjur Synchronizer service to retrieve the secrets from the Conjur database and cache them locally for faster access.

Therefore, the total number of servers required for this deployment is 9 Linux servers and 2 Windows servers. This deployment architecture is based on the Conjur documentation1 and the Conjur training course2.

o enable synchronous replication on a Conjur cluster, you need to run the command evoke replication sync that on the Leader node of the cluster. This command will configure the Leader to wait for confirmation from all Standbys before committing any transaction to the database. This ensures that the data is consistent across all nodes and prevents data loss in case of a failover. However, this also increases the latency and reduces the throughput of the cluster, so it should be used with caution and only when required by the business or compliance needs.

References:

• Conjur Cluster Replication
• Sentry - Secrets Manager - Sample Items & Study Guide

 = This error occurs when the Vault Conjur Synchronizer installation script tries to log in to the Vault using the admin user credentials, but the admin user is already logged in to other sessions. The Vault has a limit on the number of concurrent sessions per user, and the default value is one. Therefore, the installation script fails to authenticate the admin user and returns the error message: Forbidden Logon Token is Empty - Cannot logon Unauthorized. To remediate the issue, the admin user must log out of any other sessions before running the installation script, or increase the limit on the number of concurrent sessions per user in the Vault configuration file12. References: =

• Troubleshoot CyberArk Vault Synchronizer 1, Error: Forbidden Logon Token is Empty - Cannot logon Unauthorized
• Vault.ini File Parameters 2, ConcurrentSessionsPerUser

To upgrade an HA Conjur cluster, you need to follow these steps:

• Stop and rename the Conjur Leader container and then start the new Leader. This step ensures that you have a backup of the old Leader container in case something goes wrong with the upgrade. You also need to specify the hostname and master-altnames parameters when starting the new Leader container to match the load balancer and the cluster nodes.
• Restore the Leader from backup. This step restores the data and configuration from the old Leader to the new Leader. You need to use the evoke restore command with the backup file name and the account name as arguments.
• Redeploy to the Standbys. This step upgrades the Standbys to the same version as the Leader. You need to stop and rename the old Standby containers and then start the new Standby containers with the evoke configure standby command. You also need to specify the hostname of the Leader and the Standby as arguments.
• Enroll the Leader and Standbys into the auto-failover cluster. This step enables the auto-failover feature for the cluster, which allows the Standbys to automatically take over the role of the Leader in case of a failure. You need to use the evoke cluster enroll command on the Leader and the evoke cluster join command on the Standbys. You also need to provide the hostname and password of the Leader as arguments.

References: You can find more information about the upgrade process in the following resources:

• Upgrade Conjur
• Configure the Conjur cluster
• Conjur architecture and deployment reference
• Breathe Easy with a Self-Healing Conjur Cluster

 Secrets Provider and Secretless are two solutions that can minimize the Kubernetes application code changes required to adopt Conjur for secrets access. Secrets Provider is a Kubernetes Job or Deployment that runs as an init container or application container alongside the application pod. It retrieves secrets from Conjur and writes them to one or more files in a shared, mounted volume. The application can then consume the secrets from the files without any code changes, as reading local files is a common and platform-agnostic method. Secretless is a sidecar proxy that runs as a separate container in the same pod as the application. It intercepts the application’s requests to protected resources, such as databases or web services, and injects the secrets from Conjur into the requests. The application does not need to handle any secrets in its code, as Secretless handles the authentication and authorization for it. References: CyberArk Secrets Provider for Kubernetes, Secretless Broker

The cause of the issue is that the host does not have access to the credential. This can happen if the host does not have the correct permissions or if the credential is not properly configured in the Vault Conjur Synchronizer.

The Vault Conjur Synchronizer is a tool that enables the integration between CyberArk Vault and Conjur Secrets Manager Enterprise. The Synchronizer synchronizes secrets that are stored and managed in the CyberArk Vault with Conjur Enterprise, and allows them to be used via Conjur clients, APIs, and SDKs. The Synchronizer creates and updates Conjur policies and variables based on the Vault accounts and safes, and assigns permissions to Conjur hosts based on the Vault allowed machines.

To fix this issue, the host needs to have the permission to access the credential in Conjur. This can be done by adding the host to the allowed machines list of the Vault account that corresponds to the credential, and synchronizing the changes with Conjur. Alternatively, the host can be granted the permission to access the credential in Conjur by modifying the Conjur policy that corresponds to the Vault safe that contains the credential, and loading the policy to Conjur. However, this may cause conflicts or inconsistencies with the Synchronizer, and is not recommended.

For more information, see the CyberArk Vault Synchronizer docs1 and the Synchronizer Troubleshooting guide2.

According to the CyberArk Sentry Secrets Manager documentation, Conjur is a secrets management solution that consists of a leader node and one or more follower nodes. The leader node is responsible for managing the secrets, policies, and audit records, while the follower nodes are read-only replicas that can serve secrets requests from applications. Additionally, Conjur supports a standby node, which is a special type of follower node that can be promoted to a leader node in case of a leader failure. A standby node is synchronized with the leader node and can take over its role in a disaster recovery scenario. A possible Conjur node role change is when a standby node is promoted to a leader node, either manually or automatically, using the auto-failover feature. A follower node cannot be promoted to a leader node, as it does not have the same data and functionality as the leader node. A standby node cannot be promoted to a follower node, as it already has the same capabilities as a follower node, plus the ability to become a leader node. A leader node cannot be demoted to a standby node in the event of a failover, as it would lose its data and functionality and would not be able to resume its role as a leader node. References: 1: Conjur Architecture 2: Deploying Conjur on AWS 3: Auto-failover

According to the CyberArk Sentry Secrets Manager documentation, JWT-based authentication is the recommended method for authenticating Kubernetes pods with Conjur. JWT-based authentication uses JSON Web Tokens (JWTs) that are issued by the Kubernetes API server and signed by its private key. The JWTs contain the pod’s namespace and service account as identity characteristics, which are verified by Conjur against a policy that defines the allowed namespaces and service accounts. JWT-based authentication is fast, scalable, and secure, as it does not require any additional certificates, secrets, or sidecars to be deployed on the pods. JWT-based authentication also supports rotation and revocation of the Kubernetes API server’s private key, which enhances the security and resilience of the authentication process.

Certificate-based authentication is another method for authenticating Kubernetes pods with Conjur, but it is not the best option for performance. Certificate-based authentication uses X.509 certificates that are generated by a Conjur CA service and injected into the pods as Kubernetes secrets. The certificates contain the pod’s namespace and service account as identity characteristics, which are verified by Conjur against a policy that defines the allowed namespaces and service accounts. Certificate-based authentication is secure and reliable, but it requires more resources and steps to generate, inject, and manage the certificates and secrets. Certificate-based authentication also does not support rotation and revocation of the certificates, which may pose a security risk if the certificates are compromised or expired.

API key authentication and Connect (OIDC) authentication are not valid methods for authenticating Kubernetes pods with Conjur. API key authentication is used for authenticating hosts, users, and applications that have a Conjur identity and an API key. Connect (OIDC) authentication is used for authenticating users and applications that have an OpenID Connect identity and a token. These methods are not suitable for Kubernetes pods, as they do not use the pod’s namespace and service account as identity characteristics, and they require additional secrets or tokens to be stored and managed on the pods. References: = JWT Authenticator | CyberArk Docs; Certificate Authenticator | CyberArk Docs; API Key Authenticator | CyberArk Docs; Connect Authenticator | CyberArk Docs