Research
Security News
Malicious npm Packages Inject SSH Backdoors via Typosquatted Libraries
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
graphql-operation-statistics
Advanced tools
A simple, un-opinionated, zero-dependency way to implement rate limiting in GraphQL. The package inspects your queries and reports the total depth. You then decide what to do with that information.
A simple, un-opinionated, zero-dependency way to implement rate limiting in GraphQL. The package inspects your queries and reports the total depth. You then decide what to do with that information.
GraphQL presents some interesting issues with rate limiting.
In a typical REST setup, you can simply rate limit by the number of requests sent to your server.
But, a GraphQL query can look like this:
query {
user1: user(name: "matt") {
email
}
user2: user(name: "andy") {
pets {
name
owner {
name
}
}
}
user3: user(name: "andy") {
pets {
name
user {
name
pets {
name
user {
name
pets {
name
...etc
}
}
}
}
}
}
}
This query not only sends 3 separate user lookups. It allow exposes the ability to recursively call nested resources.
GraphQL Operation Statistics gives you information about the query you are about to execute.
You simply pass it the query string and it returns the depthOfDeepestQuery and sumOfMaxDepthOnAllQueries for each operation.
yarn add graphql-operation-statistics
npm i graphql-operation-statistics
// Example 1
import { getGraphQLQueryStats } from 'graphql-operation-statistics';
const stats = getGraphQLQueryStats(
`query Users {
user {
pets {
owner {
pets {
owner {
pets {
name
}
}
}
}
}
}
}`
);
expect(stats['Users'].depthOfDeepestQuery).toBe(7);
expect(stats['Users'].sumOfMaxDepthOnAllQueries).toBe(7);
// Example 2
import { getGraphQLQueryStats } from 'graphql-operation-statistics';
const { query } = JSON.parse(body);
try {
const stats = getGraphQLQueryStats(query);
for (const operationName of Object.keys(stats)) {
console.log(
`${operationName} - total depth: ${stats[operationName].sumOfMaxDepthOnAllQueries} deepest query: ${stats[operationName].depthOfDeepestQuery}`
);
}
} catch (error) {
console.error('The query passed in is not a valid', query);
}
// Example 3
import { getGraphQLQueryStats } from 'graphql-operation-statistics';
const response = getGraphQLQueryStats(
`mutation($id: String!) { patch(id: $id) { metadata { id } } }`
);
expect(response['unnamedOperation1'].depthOfDeepestQuery).toBe(3);
expect(response['unnamedOperation1'].sumOfMaxDepthOnAllQueries).toBe(3);
If your operations do not have names, the function will return unnamedOperation1
where 1
increments for each unnamed operation.
This package does not care if you use Apollo Server, Serverless GraphQL, or anything else. You could even use it on the frontend if you wanted to inspect queries before sending them off.
FAQs
A simple, un-opinionated, zero-dependency way to implement rate limiting in GraphQL. The package inspects your queries and reports the total depth. You then decide what to do with that information.
The npm package graphql-operation-statistics receives a total of 258 weekly downloads. As such, graphql-operation-statistics popularity was classified as not popular.
We found that graphql-operation-statistics demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.