Vulnerable Components in Adonisjs with Mongodb

AdonisJS is a Node.js web framework that encourages an MVC architecture and often uses Mongoose-like patterns to interact with MongoDB. When building APIs with this stack, several common implementation patterns can expose components that lead to security weaknesses, especially around data validation, query construction, and access control.

One vulnerable component is the direct use of user-supplied parameters in MongoDB queries without strict validation or sanitization. For example, an endpoint that constructs a find query using request query parameters can unintentionally enable query injection or expose sensitive data through over-privileged queries. An attacker may manipulate URL parameters to retrieve or modify documents they should not access.

Another vulnerable component is the handling of ObjectId values. If an application expects a MongoDB _id but does not validate that the provided string is a valid ObjectId, malformed input can cause runtime errors or be interpreted as an empty query, leading to unintended data exposure. This becomes critical in authorization checks where a missing or invalid ID bypasses intended restrictions.

Authorization logic implemented at the application layer rather than the database layer is also a concern. AdonisJS services may fetch a document and then check ownership in JavaScript code. Between the fetch and the check, there is a window where improper middleware or route configuration can allow access to data that should be restricted. This is especially risky when combined with missing or misconfigured rate limiting, which can enable enumeration attacks.

The combination of AdonisJS route definitions, controller methods, and permissive MongoDB query patterns can inadvertently expose more data than intended. For instance, a controller that spreads request query fields directly into a MongoDB filter can allow filtering on sensitive fields or injection of operators that change the semantics of the query. Without schema-level validation and strict operator allowlisting, such patterns increase the risk of data exposure and privilege escalation.

Finally, missing or inconsistent use of secure transport and data handling practices in the AdonisJS application can expose credentials or tokens in logs or error messages returned by MongoDB operations. Ensuring that all database connections use encrypted transport and that error handling does not leak stack traces or internal details is essential to mitigate information disclosure.

To secure the AdonisJS and MongoDB combination, apply strict input validation, enforce authorization at the point of data access, and use parameterized query patterns.

Validate and sanitize input

Always validate incoming IDs and query parameters against a strict schema. Use a library that enforces type and format rules before constructing any database query.

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

const idSchema = schema.create({
  id: schema.string({}, [rules.isMongoId()])
})

export default class DocumentsController {
  public async show({ request, response }: HttpContextContract) {
    const payload = await request.validate({ schema: idSchema })
    const doc = await Doc.find(payload.id)
    if (!doc) {
      return response.notFound()
    }
    return doc
  }
}

Use parameterized queries and avoid operator injection

Construct queries by specifying fields explicitly rather than passing raw user input to the filter. Avoid dynamic operator keys that can be influenced by an attacker.

import { Document } from 'mongodb' // assuming native driver or compatible wrapper
import { HttpContextContract } from '@ioc:Adonis/Core/HttpContext'

export default class DocumentsController {
  public async index({ request }: HttpContextContract) {
    const allowedFields = ['title', 'status', 'category']
    const filter: any = {}
    for (const key of allowedFields) {
      const value = request.qs[key]
      if (value !== undefined) {
        filter[key] = value
      }
    }
    const docs = await Document.collection.find(filter).toArray()
    return docs
  }
}

Enforce ownership checks with ObjectId and ensure proper casting

Verify that IDs are valid ObjectIds before using them in queries and enforce ownership using a strict equality check on the server-side user identifier.

import { ObjectId } from 'mongodb'
import { HttpContextContract } from '@ioc:Adonis/Core/HttpContext'

export default class DocumentsController {
  public async update({ params, request, auth }: HttpContextContract) {
    if (!ObjectId.isValid(params.id)) {
      return response.badRequest({ error: 'Invalid document ID' })
    }
    const userId = auth.user?.id
    const result = await Document.collection.updateOne(
      { _id: new ObjectId(params.id), userId },
      { $set: request.body() }
    )
    if (result.matchedCount === 0) {
      return response.notFound()
    }
    return { ok: true }
  }
}

Apply server-side field-level security and projection

Explicitly define which fields are returned or accepted to prevent over-fetching or mass assignment. Use MongoDB projection to limit returned fields and schema rules to reject unexpected input fields.

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

export default class DocumentsController {
  public async index({ request }: HttpContextContract) {
    const allowedProjection = { title: 1, status: 1, _id: 1 }
    const docs = await Document.collection.find({}, { projection: allowedProjection }).toArray()
    return docs
  }
}

Enable TLS and enforce secure connection options

Ensure that all MongoDB connections use TLS and that the application handles connection strings securely, avoiding accidental exposure in logs or error output.

// Example connection URI configuration in .env
MONGODB_URI=mongodb+srv://user:[email protected]/dbname?tls=true&retryWrites=true&w=majority