GraphQL is currently one of the most frequently mentioned technologies when it comes to innovation in the API economy. Adopters enjoy the ease of use and tooling, for example, GraphiQL -- the browser-based user interface to try out any GraphQL API. The whole experience of GraphQL is exactly what frontend developers need to build amazing interactive web applications. However, with the rise of adoption, I’m starting to get more and more concerned about the way people understand GraphQL and use it. In this post, I’d like to share my unpopular opinion on what GraphQL is really meant to be and why you should be concerned if you’re using it the popular-but-risky way. API Styles Let’s take a step back and discuss APIs and API styles in general before answering the main question of why you’re probably using GraphQL the wrong way. APIs offer a way to hide the complexity of the implementation behind a user-friendly interface. For example, a shopping basket can have methods to add and delete items or to move forward to the checkout. As a user of this shopping cart API, you don’t have to think about how the data gets stored or what exactly happens when you add or remove an item. Over the last few decades various styles of APIs have emerged, all with different implementations, depending on the use cases. You Probably Don’t Need GraphQL If you’d like to choose the right API style for a problem, you also have to consider how the API gets published and used. Do you know all your users and use cases? Are these users part of your own organization? Are they partners? The answers will most probably influence your choice of the API style and implementation, doesn’t it? The last sentence is where I think we get it wrong a lot of the time. I see people all over the place choose the API style and implementation long before the important questions were answered. Do you Have Facebook-Scale Problems? The current most popular example of this behavior is GraphQL. Are you building a modern single-page application with React? Awesome, use GraphQL! Facebook, Airbnb, Paypal, Netflix, they all do it so it must be a good fit. Why don’t we see more discussions around choosing the right technology for a given problem? I assume it’s a lack of education, but I’m not sure about this one. If you have any relevant degree, you might respond to this with your experience of education on APIs. Always keep in mind, if you use Facebook-Scale tooling without having Facebook-Scale organization and Facebook-Scale problems, you might realize painfully that you’re using a sledgehammer to crack a nut. It’s the same reason why Chaos Monkey makes sense for Netflix while it doesn’t for your two docker containers running on a 5$ machine DigitalOcean. Why is GraphQL Getting so Popular? GraphQL simplifies the communication between API developers and API consumers. API consumers, often frontend developers, get lots of change requests from product owners which lead to changing requirements on the API. With GraphQL, you have a good chance of not being forced to talk to the developer of the API. You change the Query and can get back to CSS and Javascript. I assume this was one of the main drivers at GitHub to choose GraphQL as an implementation of the query-based API style for their new API. Their API is publicly available. They have big numbers of API consumers, all with different requirements. They can’t build resource-based APIs that satisfy all of their users. In this particular use-case, GraphQL might actually be a good choice. Instead of trying to solve each problem, they rather offer a generic GraphQL API. You’re Probably not GitHub, are you? What are the trade-offs that GitHub is willing to accept when publicly exposing a GraphQL API? They have a whole team behind their GraphQL API, making sure you, the user, does not accidentally or intentionally break their systems. You can watch videos of them talking at conferences about the complex systems they built to secure their API and keep it stable. They’ve built tooling for GraphQL specific analytics to get better insights into API usage. Do you Fully Understand the Risks? I assume that many developers with a focus outside of security have little experience on what it takes to secure a REST API exposed on the internet. Most of us have little experience implementing authentication, authorization, rate limiting etc. However, I think securing a is rather simple, compared to a GraphQL API. Any HTTP-based API framework lets you define your routes and attach standardized middlewares to solve the problems listed above. A single HTTP call always corresponds to a single call on the controller of an API. RESTful API With GraphQL on the other hand, a single Query might result in thousands of calls on the controllers (resolvers) of the API. There is no simple way to solve this problem. Depending on the language you use, various libraries are trying to help you with the issue. How trustful are these libraries? Do you fully understand how they work? Are there edge cases we’re not yet fully aware of? Will you Benefit as Much as GitHub does? Are you a single developer working on a side project? Do you benefit as much as you’re expecting from using GraphQL? Are you using many different clients with different data needs? Do you really need a query-based API? What’s your strategy to combat the problems listed above? “But I’m NOT Exposing my GraphQL API” Sure. You might be thinking that your GraphQL API is not really exposed. It’s used on your website, but you don’t show the playground anywhere. If you’re using a GraphQL client in the frontend that directly talks to your GraphQL API, this API is exposed, even if not visually exposed with a GraphQL playground. Leaking Sensitive Information Do you allow any client to invoke the introspection Query? Are you leaking sensitive information through the introspection Query? Are you planning a new feature on the UI which will be made public in a few weeks or months? Is this feature already visible to your competition if they look at your schema? What if someone scrapes your schema every day to track changes and try attacks whenever you update your schema? Schema Traversal Attacks Are you aware of schema traversal attacks? A user might be allowed to see his own account balance, but how about his/her friends? Is it possible to traverse the schema in a way you didn’t anticipate which leaks data? How do you test for this kind of behavior and ensure it’s not possible for your own schema? Bug Bounties Everywhere Is there a reason why companies like Shopify participate in bug bounty programs? They seem to be aware of the complexity of securing a GraphQL API. They invite security experts to help them make their publicly available GraphQL API more secure. Do you realize that your GraphQL API is as vulnerable as Shopify’s? The Most Secure GraphQL Server How to make a system 100% secure to any kind of remote attack? If you want to be 100% safe, you should consider unplugging the network cable. However, this comes with some inconvenient drawbacks. You probably don’t want to store your GraphQL query on a USB dongle, walk to the remote computer and execute it manually, then copy the response back on the dongle and walk back to your own computer. What’s in between an unplugged network cable and exposing GraphQL? How about reducing the complexity to the level of a REST or RPC-based API while keeping the advantages of a query-based API? GraphQL as a Server-Side language If we primarily use GraphQL on the server to define JSON-RPC APIs, we get the best of both worlds.  The flexibility of GraphQL combined with the security and predictable performance of an RPC-based API. GraphQL Specification is Designed for This The GraphQL spec allows us to define multiple Operations (Queries, Mutations, Subscriptions) in a single GraphQL document. In addition to this, the validation rules of the spec require all Operations in a GraphQL document to be named. There’s just one exception that allows a single anonymous Query. But in case the number of operations in a document are above 1 we’re already forced to name our Operations. Another important requirement is that all Operation names must be unique. That is, there shall be no two Operations with the same name. A set of GraphQL Operations is a JSON-RPC API The design of the GraphQL specification alongside with the validation rules builds a perfect foundation for what we’re trying to achieve here. If we want to define a new JSON-RPC API, all we have to do is create a new file containing a set of GraphQL Operations. Each Operation has a unique name. This name becomes the function name of the JSON-RPC. The Operation variables become the input of the RPC call. Next, we can “deploy” all Operations on our API backend and prepare the RPC Endpoints. Finally, based on the Operations and the known RPC-Endpoints we’re able to generate a client that knows about the schema as well as all RPC endpoints. JSON-RPC-GraphQL compared to exposed GraphQL. Conclusion Using GraphQL as a framework for building JSON-RPC APIs is not a solution to every problem. There are situations where it’s not feasible or simply technically impossible. However, a lot of GraphQL users can benefit from this approach, as it increases security and performance at marginal costs. This article was written by Wundergraph’s CEO / CTO Jens Neuse. Originally published here.

AirBnB

Alongside

Facebook

Netflix

GraphQL Subscriptions: Using SSE/Fetch over Websockets

Automate 80% of your API related tasks. Show me how!

Open Source and Production Ready. Give it a try 🚀

Nominated for 2022 - HackerNoon Contributor of the Year - Rest Api

Nominated for 2022 - HackerNoon Contributor of the Year - Graphql

Nominated for 2022 - HackerNoon Contributor of the Year - Typescript

Nominated for 2022 - HackerNoon Contributor of the Year - Api

Too Long; Didn't Read

Do NOT Leave GraphQL Exposed Online

Do NOT Leave GraphQL Exposed Online

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

Fetch the Right Data With Next.js and React SSR

Windows Sticky Keys Exploit: The War Veteran That Never Dies

06/02/2018: Biggest Stories in the Cryptosphere

0-Days are on the Rise and that Means a Lot More Work for SOC Teams

Time Bombs Inside Software: 0-Day Log4Shell is Just the Tip of The Iceberg

The Noonification: How the Liver Transplant System Changed Forever (11/25/2023)

Fetch the Right Data With Next.js and React SSR

Windows Sticky Keys Exploit: The War Veteran That Never Dies

06/02/2018: Biggest Stories in the Cryptosphere

0-Days are on the Rise and that Means a Lot More Work for SOC Teams

Time Bombs Inside Software: 0-Day Log4Shell is Just the Tip of The Iceberg

The Noonification: How the Liver Transplant System Changed Forever (11/25/2023)

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps