Brute Force Attack in Strapi with Dynamodb

A brute force attack against a Strapi application backed by DynamoDB can be more feasible than with traditional SQL stores when access controls and rate limiting are misconfigured. Strapi, by default, exposes a REST or GraphQL endpoint for content types (for example, /api/users). If authentication is not required for the endpoint, or if rate limiting is absent or too permissive, an attacker can send many credential guesses without effective throttling.

DynamoDB itself does not introduce the brute force vector, but its characteristics can amplify risk if the application layer does not enforce protections. Because DynamoDB has high request throughput and low latency, aggressive login attempts complete quickly, which can facilitate rapid guessing. In addition, DynamoDB-based applications often rely on partition keys for user lookups (e.g., using email as the partition key). If the endpoint leaks whether a user exists via timing differences or distinct HTTP status codes (e.g., 401 vs 404), attackers can enumerate valid accounts and then focus brute force on those identities.

Insecure configuration is a common root cause. For example, if Strapi’s config/security.js does not require authentication for the admin or public API routes, or if JWT validation is not enforced, an attacker can attempt token or password brute force without any prior access controls. The combination of an open endpoint, predictable identifiers (like email), and fast DynamoDB responses reduces the effort needed to perform credential stuffing or password spraying. Compounded with weak password policies or reused credentials from other breaches, this can lead to unauthorized access and data exposure, which would be reflected in findings from a middleBrick scan under Authentication and BOLA/IDOR checks.

Moreover, unauthenticated endpoints that return slightly different responses for existing versus non-existing users can expose account enumeration, which is an indirect enabler for targeted brute force. middleBrick’s Unauthenticated LLM endpoint detection and Authentication checks are designed to surface such risky configurations, including issues described in real-world attack patterns like OWASP API Top 10:2023 A07:2021 — Identification and Authentication Failures.

Remediation focuses on ensuring Strapi enforces strong access controls and rate limiting regardless of the underlying persistence store. With DynamoDB, you should avoid leaking user existence through response timing or status codes, and ensure that brute force protections are applied at the Strapi layer before requests trigger expensive DynamoDB operations.

First, enforce authentication for all sensitive endpoints, including admin and API routes. In Strapi, you can configure policies to require JWT validation. For example, in src/middlewares.js (or via the Strapi admin UI if available), ensure that the JWT policy is applied to relevant routes:

module.exports = {
  settings: {
    policies: {
      'content-api': {
        before: ['auth'],
      },
      'content-manager': {
        before: ['auth', 'role'],
      },
    },
  },
};

Second, implement consistent timing for user lookup operations to prevent account enumeration. When verifying credentials, always perform a dummy computation or a constant-time mock response when the user is not found, so the runtime does not leak information via response time. Below is a DynamoDB example using the AWS SDK for JavaScript that demonstrates safe user retrieval without leaking existence. Note that this code is intended to illustrate safe patterns and should be adapted to your Strapi project’s architecture and SDK version:

const { DynamoDBClient, GetItemCommand } = require('@aws-sdk/client-dynamodb');
const { marshall, unmarshall } = require('@aws-sdk/util-dynamodb');

const client = new DynamoDBClient({ region: 'us-east-1' });

async function safeGetUser(email) {
  const params = {
    TableName: process.env.USERS_TABLE_NAME,
    Key: marshall({ email }),
  };

  try {
    const command = new GetItemCommand(params);
    const data = await client.send(command);

    // Always return a consistent shape to avoid leaking existence via response structure
    if (!data.Item) {
      // Perform a constant-time dummy operation to avoid timing leaks
      await client.send(new GetItemCommand({
        TableName: process.env.USERS_TABLE_NAME,
        Key: marshall({ email: 'dummy_non_existent_key_xyz' }),
      }));
      return null;
    }

    return unmarshall(data.Item);
  } catch (err) {
    // Log the error internally, but return a generic failure to the caller
    console.error('User lookup error:', err);
    return null;
  }
}

Third, enforce rate limiting at the API gateway or within Strapi to limit the number of requests per user or IP. Even if DynamoDB can handle high throughput, uncontrolled request rates can overwhelm authentication logic. Use a sliding window or token bucket algorithm implemented in your application or via an API gateway. For example, in Strapi you can use a middleware to track attempts and delay or reject excessive requests:

const rateLimitWindowMs = 15 * 60 * 1000; // 15 minutes
const maxAttempts = 5;
const attemptsMap = new Map();

function rateLimitMiddleware(ctx, next) {
  const identifier = ctx.request.ip; // or combine IP + user ID if authenticated
  const now = Date.now();
  const record = attemptsMap.get(identifier) || { count: 0, start: now };

  if (now - record.start > rateLimitWindowMs) {
    record.count = 0;
    record.start = now;
  }

  record.count += 1;
  attemptsMap.set(identifier, record);

  if (record.count > maxAttempts) {
    ctx.status = 429;
    ctx.body = { error: 'Too many attempts, try again later.' };
    return;
  }

  return next();
}

Finally, regularly review DynamoDB CloudWatch metrics for unusual spikes in read or write capacity that might indicate an ongoing attack, and integrate findings from middleBrick scans to iteratively tighten Authentication, Rate Limiting, and Data Exposure checks. These steps reduce the likelihood of successful brute force attacks while keeping your DynamoDB-backed Strapi application resilient.