Dictionary Attack in Feathersjs with Cockroachdb

A dictionary attack in a Feathersjs application backed by Cockroachdb typically arises from weak authentication controls rather than a database-specific flaw. Feathersjs, by default, provides a flexible hooks and service architecture where authentication can be inadvertently misconfigured, enabling attackers to submit大量 credential guesses against user accounts stored in Cockroachdb. When authentication endpoints lack rate limiting or account enumeration protections, each request reveals whether a username exists based on different response behaviors, facilitating credential stuffing or brute-force attempts.

Because Cockroachdb is a distributed SQL database, its consistency and isolation properties do not inherently prevent abuse; the risk emerges from how Feathersjs services query user data. For example, a typical user service might expose a find or get endpoint that returns user metadata when queried with valid identifiers. If these endpoints are reachable without proper authentication guards, an attacker can iteratively submit common passwords or breached credential lists, observing subtle timing differences or response codes to infer account validity.

The combination amplifies risk when session management is weak. Feathersjs often uses JWT or local authentication strategies; if tokens or cookies are not bound to additional factors or rate-limited per origin, attackers can automate submissions across distributed nodes. Cockroachdb’s geo-distributed nature does not mitigate this, as the database layer remains accessible via the application’s service interface. Without explicit protections such as progressive delays, account lockouts, or CAPTCHA challenges after repeated failures, the attack surface remains open.

Real-world patterns mirror CVE-type scenarios where weak input validation and missing rate controls intersect. For instance, an unauthenticated POST to /authentication with a JSON body containing user identifiers can be probed systematically. Because Feathersjs hooks may skip validation in development or misconfigured production hooks, the underlying Cockroachdb rows are queried directly, allowing enumeration via timing or error messages. This aligns with OWASP API Security Top 10’s Broken Object Level Authorization and Insufficient Rate Limiting categories, emphasizing the need for hardened authentication flows regardless of the database backend.

Remediation focuses on tightening authentication hooks, enforcing rate limits, and ensuring safe query patterns in Feathersjs services backed by Cockroachdb. Below are concrete code examples that demonstrate these protections.

1. Rate-limited authentication service with safe query patterns

Use a custom authentication hook to centralize validation and apply rate limiting based on IP or user identifier. This prevents rapid credential guessing against Cockroachdb rows.

// src/hooks/rate-limit-auth.js
const { RateLimiterMemory } = require('rate-limiter-flexible');

const rateLimiter = new RateLimiterMemory({
  points: 5, // 5 attempts
  duration: 60 // per 60 seconds
});

module.exports = context => {
  return async context =>
  {
    const { email } = context.data || {};
    if (email) {
      try {
        await rateLimiter.consume(email.toLowerCase());
      } catch (rateLimited) {
        throw new Error('Too many attempts. Try again later.');
      }
    }
    return context;
  };
};

Attach this hook to your authentication service in Feathersjs:

// src/services/authentication/authentication.hooks.js
const rateLimitAuthHook = require('./hooks/rate-limit-auth');

module.exports = {
  before: {
    all: [],
    find: [],
    get: [],
    create: [rateLimitAuthHook]
  },
  after: {},
  error: {}
};

2. Parameterized queries to prevent injection and timing attacks

When querying Cockroachdb via Feathersjs adapters, always use parameterized inputs. This avoids SQL injection and ensures consistent query execution time, reducing information leakage.

// src/services/users/users.class.js
const { Client } = require('pg'); // Cockroachdb compatible driver

class UsersRepository {
  constructor() {
    this.client = new Client({
      connectionString: process.env.DATABASE_URL,
      ssl: { rejectUnauthorized: false }
    });
  }

  async findByEmail(email) {
    await this.client.connect();
    try {
      const res = await this.client.query(
        'SELECT id, email, role FROM users WHERE email = $1',
        [email]
      );
      return res.rows[0] || null;
    } finally {
      await this.client.end();
    }
  }
}

module.exports = new UsersRepository();

3. Secure user service with explicit authentication checks

Ensure your Feathersjs user service validates credentials server-side without exposing enumeration clues. Use constant-time comparison where applicable and avoid returning detailed errors to clients.

// src/services/users/users.hooks.js
const { authenticate } = require('@feathersjs/authentication').hooks;

module.exports = {
  before: {
    all: [],
    find: [authenticate('jwt')],
    get: [authenticate('jwt')],
    create: [], // handled by auth hook or custom logic
    update: [authenticate('jwt')],
    patch: [authenticate('jwt')],
    remove: [authenticate('jwt')]
  },
  after: {},
  error: {}
};

4. Account protection via progressive delays

Introduce incremental delays on failed attempts at the service layer, independent of database response times. This throttles automated scripts without blocking legitimate users abruptly.

// src/hooks/progressive-delay.js
module.exports = context =>
{
  return async context =>
  {
    const result = await context.app.service('users').find({ query: { email: context.data.email } });
    if (result.total === 0) {
      // Simulate delay to hinder timing-based inference
      const delay = Math.min(context.params.attempts ? context.params.attempts * 200 : 200, 1000);
      await new Promise(resolve => setTimeout(resolve, delay));
    }
    return context;
  };
};