Rainbow Table Attack in Adonisjs with Cockroachdb

A rainbow table attack leverages precomputed hashes to reverse password hashes offline. When an AdonisJS application uses weak hashing for passwords and stores them in CockroachDB, the combination of a predictable hashing approach and a distributed SQL datastore can expose password material if the database is compromised.

AdonisJS historically encouraged bcrypt for password hashing, but developers may misconfigure the ORM or choose an inadequate hashing scheme. If passwords are stored as unsalted MD5 or SHA1, or if a non-unique per-user salt is reused, an attacker who gains read access to the CockroachDB cluster can build or use a rainbow table to map hashes back to plaintext passwords. CockroachDB’s strong consistency and SQL interface mean that once credentials are extracted (e.g., via a misconfigured backup or an SSRF leading to database introspection), the attacker can perform offline cracking at scale.

In AdonisJS, user models often define password fields and hooks to hash before save. If the hashing implementation does not use a unique, high-work factor salt (as bcrypt handles internally), identical passwords across users produce identical hashes. This uniformity is exactly what rainbow tables exploit. Furthermore, if the application exposes password-reset tokens or authentication endpoints without rate limiting, an attacker can enumerate valid users and focus cracking efforts on hashes retrieved from CockroachDB.

Consider an AdonisJS route that authenticates via a SQL query directly against CockroachDB. A naive implementation might compare a plaintext candidate password to a hash column without constant-time checks, potentially leaking timing information. Combined with a poorly implemented hashing strategy, this creates a chain: extract hashes from CockroachDB, consult or build a rainbow table, and recover plaintext credentials. The distributed nature of CockroachDB can increase the attack surface if backups or logs are not equally protected, allowing hash extraction through secondary vectors.

To contextualize the risk, this scenario maps to OWASP API Top 10 A07:2021 — Identification and Authentication Failures, and it intersects with insecure storage of credentials in data stores. Even though middleBrick does not fix these issues, its scans can highlight weak authentication patterns and unsafe data exposure in your API, helping you identify where password handling intersects with database storage risks.

Remediation focuses on using strong, adaptive hashing, ensuring unique salts per user, and hardening how AdonisJS interacts with CockroachDB to prevent exposure of password material.

Use bcrypt via AdonisJS’s built-in auth utilities, which handle salting and cost factors automatically. Configure your User model to hash passwords before persistence, and avoid raw SQL for credential handling when possible. If you must use direct SQL with the CockroachDB client, ensure parameterized queries and never construct credentials via string concatenation.

Example: Define the User model with proper hashing hooks in app/Models/User.ts:

import { column } from '@ioc:Adonis/Lucid/Orm'
import { hashPassword } from '@ioc:Adonis/Extra/Auth'

export default class User extends BaseModel {
  @column({ isPrimary: true })
  public id: number

  @column()
  public email: string

  @column({ serializeAs: null })
  @hashPassword()
  public password: string

  // Ensure created_at and updated_at columns exist in CockroachDB schema
  @column({ autoCreate: true })
  public createdAt: DateTime

  @column({ autoCreate: true, autoUpdate: true })
  public updatedAt: DateTime
}

This leverages AdonisJS’s @hashPassword() decorator, which uses bcrypt with a generated salt per instance, ensuring that even identical passwords yield unique hashes stored in CockroachDB.

Example: Create users via a controller with explicit handling, avoiding raw SQL credential logic:

import User from 'App/Models/User'
import { HttpContextContract } from '@ioc:Adonis/Core/HttpContext'

export default class AuthController {
  public async register({ request, auth }: HttpContextContract) {
    const email = request.input('email')
    const password = request.input('password')

    const user = await User.create({
      email,
      password, // @hashPassword() will hash this before INSERT
    })

    await auth.login(user)
    return user
  }
}

Ensure your CockroachDB schema aligns with this model. For example, a SQL schema (executed via migrations) might look like:

-- CockroachDB SQL migration
CREATE TABLE users (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  email STRING UNIQUE NOT NULL,
  password_hash STRING NOT NULL,
  created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
  updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
);

If you interact with CockroachDB using a raw client (e.g., for legacy integrations), always use parameterized statements and avoid dynamic SQL that could expose credentials or enable injection. Never store plaintext or weakly hashed passwords in any column, and prefer the ORM’s abstraction to minimize risk.

Finally, apply defense-in-depth: enable rate limiting on authentication endpoints, monitor for unusual query patterns in CockroachDB logs, and rotate credentials if you suspect exposure. middleBrick’s scans can identify missing rate limits and data exposure issues that may amplify rainbow table risks.