Gatekeeper Pattern

Context and Problem

Applications expose their functionality to clients by accepting and processing requests. In cloud-hosted scenarios, applications expose endpoints to which clients connect, and typically include the code to handle the requests from clients. This code may perform authentication and validation, some or all request processing, and is likely to accesses storage and other services on behalf of the client.

If a malicious user is able to compromise the system and gain access to application’s hosting environment, the security mechanisms it uses such as credentials and storage keys, and the services and data it accesses, are exposed. As a result, the malicious user may be able to gain unrestrained access to sensitive information and other services.

Solution

To minimize the risk of clients gaining access to sensitive information and services, decouple hosts or tasks that expose public endpoints from the code that processes requests and accesses storage. This can be achieved by using a façade or a dedicated task that interacts with clients and then hands off the request (perhaps through a decoupled interface) to the hosts or tasks that will handle the request. The below shows a high-level view of this approach.

High level overview of this pattern

The gatekeeper pattern may be used simply to protect storage, or it may be used as a more comprehensive façade to protect all of the functions of the application. The important factors are:

• Controlled validation. The Gatekeeper validates all requests, and rejects those that do not meet validation requirements.
• Limited risk and exposure. The Gatekeeper does not have access to the credentials or keys used by the trusted host to access storage and services. If the Gatekeeper is compromised, the attacker does not obtain access to these credentials or keys.
• Appropriate security. The Gatekeeper runs in a limited privilege mode, whereas the remainder of the application runs in the full trust mode required to access storage and services. If the Gatekeeper is compromised, it cannot directly access the application services or data.

This pattern effectively acts like a firewall in a typical network topography. It allows the Gatekeeper to examine requests and make a decision about whether to pass the request on to the trusted host (sometimes called the Keymaster) that performs the required tasks. This decision will typically require the Gatekeeper to validate and sanitize the request content before passing it on to the trusted host.

Issues and Considerations

Consider the following points when deciding how to implement this pattern:

• Ensure that the trusted hosts to which the Gatekeeper passes requests expose only internal or protected endpoints, and connect only to the Gatekeeper. The trusted hosts should not expose any external endpoints or interfaces.
• The Gatekeeper must run in a limited privilege mode. Typically this means running the Gatekeeper and the trusted host in separate hosted services or virtual machines.
• The Gatekeeper should not perform any processing related to the application or services, or access any data. Its function is purely to validate and sanitize requests. The trusted hosts may need to perform additional validation of requests, but the core validation should be performed by the Gatekeeper.
• Use a secure communication channel (HTTPS, SSL, or TLS) between the Gatekeeper and the trusted hosts or tasks where this is possible. However, some hosting environments may not support HTTPS on internal endpoints.
• Adding the extra layer to the application to implement the Gatekeeper pattern is likely to have some impact on performance of the application due to the additional processing and network communication it requires.
• The Gatekeeper instance could be a single point of failure. To minimize the impact of a failure, consider deploying additional instances and using an autoscaling mechanism to ensure sufficient capacity to maintain availability.

When to Use this Pattern

This pattern is ideally suited for:

• Applications that handle sensitive information, expose services that must have high a degree of protection from malicious attacks, or perform mission-critical operations that must not be disrupted.
• Distributed applications where it is necessary to perform request validation separately from the main tasks, or to centralize this validation to simplify maintenance and administration.