Fix Lack of Resources & Rate Limiting in Meteor
Meteor's DDP (Distributed Data Protocol) is inherently vulnerable to resource exhaustion because it doesn't enforce global rate limits by default. An attacker can script a DDP client to spam expensive Meteor methods or subscriptions, pinning the CPU and saturating the Node.js event loop. To secure a Meteor app, you must explicitly implement the DDPRateLimiter to throttle incoming DDP messages based on IP, connection ID, or User ID.
The Vulnerable Pattern
// server/methods.js
Meteor.methods({
'searchDatabase': function (query) {
// VULNERABLE: No rate limiting.
// An attacker can call this 10,000 times per second.
return LargeCollection.find({ text: { $regex: query } }).fetch();
}
});
The Secure Implementation
The vulnerable code allows unrestricted execution of a potentially heavy regex search, leading to Denial of Service (DoS). The secure implementation uses the 'ddp-rate-limiter' package to define a rule for the specific method. By setting a threshold (5 requests per 1000ms), the server will automatically reject excessive calls with a '429 Too Many Requests' error. For production hardening, always apply rules to 'subscription' types as well as 'method' types to prevent Pub/Sub flooding.
// server/methods.js import { Meteor } from 'meteor/meteor'; import { DDPRateLimiter } from 'meteor/ddp-rate-limiter';const METHOD_NAME = ‘searchDatabase’;
Meteor.methods({ [METHOD_NAME]: function (query) { check(query, String); return LargeCollection.find({ text: { $regex: query } }).fetch(); } });
if (Meteor.isServer) { // Define a rule: limit to 5 calls every 1 second per connection const searchRule = { type: ‘method’, name: METHOD_NAME, connectionId() { return true; } };
DDPRateLimiter.addRule(searchRule, 5, 1000); }
Your Meteor API
might be exposed to Lack of Resources & Rate Limiting
74% of Meteor apps fail this check. Hackers use automated scanners to find this specific flaw. Check your codebase before they do.
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