Identification Failures in Adonisjs with Dynamodb

Identification failures occur when an API fails to properly identify and enforce access controls on resources, commonly leading to Insecure Direct Object References (IDOR) or Broken Object Level Authorization (BOLA). The combination of AdonisJS, a Node.js web framework that encourages route-model binding, and DynamoDB, a schemaless NoSQL store, can inadvertently expose identification weaknesses if developer code does not explicitly validate ownership or permissions for each request.

In AdonisJS, route handlers often resolve a model from route parameters (e.g., :id) and assume the authenticated user is authorized to access that resource. With DynamoDB, the primary key (partition key and optional sort key) directly identifies an item. If an endpoint uses a user-supplied key value without confirming that the item belongs to the requesting user, an attacker can modify the key to access another user’s data. For example, an endpoint like GET /invoices/:invoiceId that loads an invoice by invoiceId without verifying the invoice’s userId attribute against the authenticated session enables IDOR.

DynamoDB’s lack of native joins and secondary index behavior can exacerbate identification issues. Developers may query by Global Secondary Index (GSI) to locate resources, but if the GSI does not include the user context (e.g., a composite GSI on status-sortKey without the user partition key), it might return items from other users. An attacker can iterate through valid key values or use numeric ranges to enumerate accessible records, especially when error messages differ between found and not-found conditions.

AdonisJS middleware and implicit route model binding can mask these gaps. If route binding pulls an item directly from DynamoDB using a key parameter without a corresponding policy check, the framework will not prevent access to unrelated items. Additionally, caching layers or SDK client configurations that reuse a single AWS credential with broad read permissions can make identification failures more severe, as the application may be able to fetch any item in the table on behalf of any user.

Real-world attack patterns include changing numeric IDs in URLs, manipulating path parameters in REST calls, or tampering with client-supplied keys in GraphQL arguments. Common OWASP API Top 10 categories such as Broken Object Level Authorization (2023:1) apply directly. To mitigate, you must enforce user-level scoping on every data access, validate ownership before returning any item, and design DynamoDB queries that include the user identifier as part of the key condition expression rather than post-filtering results.

Remediation focuses on ensuring that every DynamoDB operation includes the authenticated user as part of the key condition, and that the application never trusts route parameters alone to identify an item. Below are concrete patterns and code examples for AdonisJS.

1. Always scope queries by user identifier

Include the user ID in the partition key or as a mandatory condition on the sort key. This prevents horizontal privilege escalation across user boundaries.

import { DynamoDB } from '@aws-sdk/client-dynamodb';
import { unmarshall } from '@aws-sdk/util-dynamodb';

const ddb = new DynamoDB({ region: 'us-east-1' });

async function getInvoiceForUser(invoiceId: string, userId: string) {
  const response = await ddb.get({
    TableName: process.env.INVOICES_TABLE!,
    Key: {
      pk: { S: `USER#${userId}` },
      sk: { S: `INVOICE#${invoiceId}` },
    },
  });
  if (!response.Item) return null;
  return unmarshall(response.Item);
}

In this pattern, the primary key is composed of a user-specific partition key and an invoice-specific sort key. An attacker changing invoiceId cannot access another user’s invoice because the partition key differs.

2. Use GSI with user context in the key condition

If you query via a GSI, embed the user ID in the index’s partition key or include it in the key condition expression.

async function listUserInvoices(userId: string, status: string) {
  const response = await ddb.query({
    TableName: process.env.INVOICES_TABLE!,
    IndexName: 'gsi-status-user',
    KeyConditionExpression: 'gsi_pk = :uid AND status = :status',
    ExpressionAttributeValues: {
      ':uid': { S: `USER#${userId}` },
      ':status': { S: status },
    },
  });
  return response.Items?.map(unmarshall) || [];
}

Ensure the GSI’s partition key includes the user identifier. This way, even if an attacker enumerates status values, they cannot retrieve items belonging to another user.

3. Validate ownership in route handlers

In AdonisJS controllers, explicitly load and compare ownership before returning data. Do not rely on route model binding alone.

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

export default class InvoicesController {
  public async show({ params, auth }: HttpContextContract) {
    const invoiceId = params.id;
    const userId = auth.user?.id;
    if (!userId) throw new Error('Unauthenticated');

    const invoice = await getInvoiceForUser(invoiceId, userId);
    if (!invoice) return Response.status(404).send({ message: 'Not found' });
    return invoice;
  }
}

By coupling the authenticated user’s ID with the DynamoDB key lookup, you enforce identification and authorization at the data layer rather than the framework layer.

4. Avoid exposing raw keys and use opaque identifiers

Consider mapping user-scoped identifiers to a secondary index or a reversible token if you must expose resource IDs. This reduces the risk of ID enumeration via predictable keys.

5. Enforce least-privilege IAM policies

Ensure the AWS credentials used by AdonisJS have permissions scoped to actions on items where the partition key matches the authenticated user. This limits the blast radius of any misconfiguration.

6. Standardize error handling

Return consistent responses for missing items and permission denied cases to prevent attackers inferring existence via timing or status differences.

async function safeGetItem(userId: string, key: string) {
  const response = await ddb.get({
    TableName: process.env.ITEMS_TABLE!,
    Key: { pk: { S: `USER#${userId}` }, sk: { S: key } },
  });
  return response.Item ? unmarshall(response.Item) : null;
}

If the item does not exist or the partition key does not match, the response is the same: no item returned, preventing enumeration.