GraphQL security best practices.
A thread:
A thread:
πUse query cost analysis
This is the best method of rate limiting for GraphQL. Cost analysis protects your GraphQL server from DoS attacks by computing the data consumption per user and applying limits.
This is the best method of rate limiting for GraphQL. Cost analysis protects your GraphQL server from DoS attacks by computing the data consumption per user and applying limits.
πUse depth limiting
GraphQL uses a single endpoint to access data, and its structure uses nested fields. This is very convenient, but its also a security risk.
Attackers can use nested fields to create malicious loops that can crash a server. Depth limiting prevents this.
GraphQL uses a single endpoint to access data, and its structure uses nested fields. This is very convenient, but its also a security risk.
Attackers can use nested fields to create malicious loops that can crash a server. Depth limiting prevents this.
πUse pagination
Pagination limits the number of resources a client can access in a single request.
This reduces latency when fetching large amounts of data and prevents the server from being overloaded.
Pagination limits the number of resources a client can access in a single request.
This reduces latency when fetching large amounts of data and prevents the server from being overloaded.
πSet query timeouts
Timeouts can be used to protect against large queries. If the query is executing after the set time, it will fail automatically.
Timeouts can be used to protect against large queries. If the query is executing after the set time, it will fail automatically.
πPrevent batch requests
GraphQL supports query batching, where multiple requests can be made in a single call using GraphQL Aliases.
Multiple batch requests can overload a server.
Batch querying can be prevented by implementing proper rate-limiting and timeouts.
GraphQL supports query batching, where multiple requests can be made in a single call using GraphQL Aliases.
Multiple batch requests can overload a server.
Batch querying can be prevented by implementing proper rate-limiting and timeouts.
That's all for now! Follow @Rapid_API for more exclusive content. ππ
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