Vulnerable Components in Adonisjs with Basic Auth

When Basic Authentication is used in AdonisJS without additional protections, several components can interact in ways that expose the application to common API security risks, particularly around authentication, authorization, and data exposure.

The authentication component relies on HTTP Basic Auth, sending credentials in an Authorization header encoded as Base64 (not encrypted). If the connection is not protected by TLS, these credentials are easily intercepted. Without transport-layer enforcement, this creates a clear credential exposure vector that maps to the Encryption check in middleBrick scans.

Authorization and ownership checks may be inconsistent. AdonisJS does not automatically enforce that a resource belongs to the authenticated user when using Basic Auth. Developers must explicitly scope queries, for example by joining the authenticated user’s identifier with the requested resource. When this scoping is omitted, the combination of Basic Auth and missing ownership validation can enable Insecure Direct Object Reference (IDOR) or Broken Object Level Authorization (BOLA) issues, which are flagged by middleBrick’s BOLA/IDOR checks.

Input validation components may be bypassed when credentials are trusted implicitly. Basic Auth credentials are often used to locate a user record, and if the application uses that record to construct further queries without strict validation, attackers may supply malformed or unexpected input that leads to injection or improper filtering. This interacts with the Input Validation and Property Authorization checks in middleBrick, which test for missing constraints and over-permissive data access.

Rate limiting may be misaligned with authentication boundaries. If rate limits are applied globally rather than per-user or per-credential, a single compromised credential can exhaust allowed requests, enabling denial-of-service or making brute-force attempts more feasible. middleBrick’s Rate Limiting check evaluates whether controls are appropriately scoped to authenticated identities.

Data exposure risks increase when responses include sensitive user fields such as password hashes or internal identifiers. If routes returning user data do not explicitly omit sensitive fields, Basic Auth–based APIs can inadvertently leak this information. This is covered by Data Exposure checks in middleBrick, which inspect response payloads for secrets and PII.

Finally, unauthenticated endpoint detection is relevant. Some AdonisJS applications may expose GraphQL or alternative entry points that do not enforce Basic Auth consistently. middleBrick’s LLM/AI Security and Unsafe Consumption checks include tests for unauthenticated endpoints, verifying that protections are applied uniformly across the attack surface.

Remediation focuses on enforcing TLS, validating and scoping requests, and ensuring credentials are never treated as implicit trust. The following examples demonstrate secure patterns for handling Basic Auth in AdonisJS.

1. Enforce HTTPS and validate credentials on each request:

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

export default class AuthController {
  public async basicAuthLogin({ request, auth, response }: HttpContextContract) {
    // Enforce HTTPS in production
    if (!request.secure()) {
      return response.badRequest({ error: 'HTTPS required' })
    }

    const email = request.input('email')
    const password = request.input('password')

    const user = await User.findBy('email', email)
    if (!user || !(await user.verifyPassword(password))) {
      return response.unauthorized({ error: 'Invalid credentials' })
    }

    // Issue a session or token instead of relying solely on Basic Auth
    const token = await user.generateAuthToken()
    return response.ok({ token })
  }
}

This example avoids relying on server-managed Basic Auth for authorization and instead uses a token-based approach after verifying credentials, reducing the risk of credential replay.

2. Scope data access to the authenticated user to prevent IDOR/BOLA:

import { schema } from '@ioc:Adonis/Core/Validator'
import User from 'App/Models/User'

// Assuming user is resolved via auth middleware
const getUserPostsSchema = schema.create({
  query: schema.object({
    userId: schema.number([schema.exists({ table: 'users', column: 'id' })])
  })
})

export default class PostsController {
  public async index({ request, auth, response }: HttpContextContract) {
    const { userId } = await request.validate({ schema: getUserPostsSchema })

    // Ensure the requested userId matches the authenticated user’s id
    if (userId !== auth.user?.id) {
      return response.forbidden({ error: 'Access denied' })
    }

    const posts = await auth.user!.related('posts').query().preload('comments')
    return response.ok(posts)
  }
}

This explicitly checks that the requested resource belongs to the authenticated user, addressing BOLA/IDOR concerns highlighted by middleBrick.

3. Apply per-user rate limiting and filter sensitive fields:

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

export default class UsersController {
  public async show({ params, auth, response }: HttpContextContract) {
    // Scope rate limits to the authenticated credential
    // Implementation-specific: track by user id or API key

    const user = await User.findOrFail(params.id)

    // Never expose password hashes or internal fields
    const safeUser = {
      id: user.id,
      email: user.email,
      name: user.name,
      createdAt: user.createdAt.toISOString(),
      updatedAt: user.updatedAt.toISOString()
    }

    return response.ok(safeUser)
  }
}

Use middleware to enforce TLS and strip sensitive headers in production, and ensure OpenAPI specs reflect these constraints so middleBrick’s Encryption and Data Exposure checks can validate the implementation.