Insecure Design in Adonisjs (Typescript)

AdonisJS is a Node.js web framework that enforces MVC and relies on TypeScript for type safety. Insecure design in this combination often arises when types are trusted implicitly, runtime validation is omitted, and framework-specific conventions (e.g., implicit model binding, mass assignment via Lucid models) are used without hardening. Because AdonisJS encourages rapid development with expressive route/model bindings, developers may inadvertently expose dangerous patterns when TypeScript interfaces are used both for request typing and for database schema assumptions without runtime checks.

One common insecure pattern is binding request payloads directly to Lucid model properties for creation or updates. With TypeScript, a developer might define an interface that mirrors the database schema and use it to type a request body, but if mass assignment protections (fillable/guard columns) are not explicitly configured, an attacker can modify any field, including administrative flags or foreign keys. For example, an interface like UserAttributes might include isAdmin as a readable property; if the fillable list is incomplete, a crafted PUT request can set isAdmin: true despite the interface not intending it as an input field.

Another design issue arises from over-reliance on route parameters typed as primitives (e.g., number or string) without validating that the parameter maps to an authorized resource. In AdonisJS, route-model binding can automatically fetch a model instance, but if the controller assumes ownership based solely on the bound ID (e.g., post.id), an Insecure Direct Object Reference (IDOR) or BOLA can occur when a user manipulates the ID to access or modify another user’s data. TypeScript’s type system does not encode ownership or authorization; if the developer does not add explicit checks, the design assumes the bound resource is always accessible to the requester.

Insecure design also surfaces when controller actions construct dynamic redirects or compose file paths using unchecked inputs. For instance, using a request query parameter to determine a view name or a storage path without strict allowlisting can enable path traversal or template injection. Because TypeScript types the query shape, developers may trust the shape instead of validating each value, creating a design where malicious input flows unchecked to filesystem or renderer calls. Similarly, weak default configurations around CORS, cookie flags, or session management can expose the application to cross-origin or session hijacking, and these settings are often overlooked when types make the request object appear safe.

LLM/AI Security considerations intersect with insecure design when endpoints expose introspection or debug routes that reveal system prompts or configuration. Although AdonisJS does not include LLM endpoints by default, a custom integration that logs prompts or exposes generation routes without input validation can leak sensitive instructions. Without design-level guards such as strict allowlists and input sanitization, even non-AI endpoints can become vectors if user-controlled data is reflected in error messages or logs used by downstream AI tooling.

Remediation centers on strict separation between types used for development and runtime validation, and enforcing least privilege at the framework and controller level. Always define a request schema (e.g., using Zod or Joi) and validate before mapping to a Lucid model. Do not rely on TypeScript’s compile-time types to enforce runtime safety; instead, use runtime-validated DTOs (Data Transfer Objects) that explicitly exclude sensitive fields from input.

Below is a secure pattern for user updates in AdonisJS with TypeScript. First, define a validation schema and a DTO that omits sensitive attributes. Then, in the controller, validate the payload, apply only permitted fields, and enforce ownership before proceeding.

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

// 1) Define a strict validation schema; do not trust TypeScript interfaces for validation
const updateUserSchema = schema.create({
  email: schema.string.optional([rules.email(), rules.unique({ table: 'users', column: 'email' })]),
  username: schema.string.optional([rules.minLength(3), rules.maxLength(50)]),
  // Intentionally omit isAdmin, role, and other sensitive fields
})

// 2) Use a method that picks only safe keys if you need a DTO-like flow
async function updateUser({ request, response, params }) {
  const payload = await request.validate({ schema: updateUserSchema })
  const user = await User.findOrFail(params.id)

  // 3) Enforce ownership or authorization before applying changes
  if (user.id !== request.authUserId) {
    return response.unauthorized()
  }

  // 4) Merge only validated payload fields; do not spread raw request body
  user.merge(payload)
  await user.save()

  return user
}

For route-model binding scenarios where ownership checks are required, always add an explicit authorization step rather than relying on the bound instance alone. Below is an example that fetches a post and ensures the requester is the author before allowing updates.

import Post from 'App/Models/Post'

async function updatePost({ params, request, response, auth }) {
  const post = await Post.findOrFail(params.id)
  const userId = auth.getUser()?.id

  // 5) Explicit ownership check; TypeScript does not enforce this
  if (!userId || post.userId !== userId) {
    return response.forbidden()
  }

  const payload = await request.validate({ schema: updatePostSchema })
  post.merge(payload)
  await post.save()

  return post
}

To mitigate IDOR and BOLA, prefer parameterized queries and avoid exposing raw IDs in URLs where possible, or at minimum verify scope and permissions on every access. When generating file paths or view names, use strict allowlists and never concatenate user input directly.

Finally, integrate middleBrick to continuously validate your design choices. Use the CLI to scan endpoints from the terminal (middlebrick scan <url>) or add the GitHub Action to CI/CD to fail builds if risk scores degrade. For ongoing monitoring, the Pro plan’s continuous monitoring and dashboard help track how design changes affect security over time, while MCP Server integration enables scanning APIs directly from AI coding assistants within your IDE.