Api Key Exposure in Adonisjs with Dynamodb

When an AdonisJS application uses AWS DynamoDB as a persistence layer, mishandling of API keys can expose both database credentials and application secrets. AdonisJS typically manages configuration through start/app.js and environment files, while DynamoDB clients are often instantiated using credentials sourced from process environment variables or shared configuration files. If API keys or AWS secret keys are stored in environment files checked into source control, logged in error outputs, or passed to client constructors without restriction, they become reachable to an authenticated API consumer or via client-side exposure through endpoints that return configuration or debug data.

The risk materializes when an API endpoint inadvertently echoes configuration or when debug routes expose the AdonisJS environment object. For example, an endpoint that returns the current AWS region or credential source without proper access controls can reveal sensitive context that, combined with overly permissive IAM policies on DynamoDB, may lead to privilege escalation or data exposure. Since DynamoDB requires valid AWS credentials for signed requests, exposing those credentials effectively grants an attacker access to the tables your application uses. This becomes particularly dangerous when the same IAM key has broad table permissions, aligning with BOLA/IDOR patterns if the key is scoped to user-specific resources without adequate isolation.

In a black-box scan, middleBrick tests unauthenticated and authenticated-style endpoints to detect whether API keys or sensitive configuration values appear in responses, headers, or error payloads. One of the 12 parallel checks focuses on Data Exposure and Unsafe Consumption, looking for sensitive values such as AWS access key IDs or secret keys in outputs that should be sanitized. If your AdonisJS routes return raw configuration or build-time environment values, the scanner can flag these as findings, linking them to compliance frameworks such as OWASP API Top 10 and SOC2. The scanner also evaluates whether IAM policies tied to the exposed keys allow excessive table access, tying into BOLA/IDOR and Privilege Escalation checks.

To illustrate, consider an AdonisJS controller that creates a DynamoDB client using an access key and secret pulled directly from environment variables without additional scoping or temporary credentials:

const { DynamoDB } = require('@aws-sdk/client-dynamodb');
const accessKey = Env.get('AWS_ACCESS_KEY_ID');
const secretKey = Env.get('AWS_SECRET_ACCESS_KEY');
const region = Env.get('AWS_REGION', 'us-east-1');

const client = new DynamoDB({
  region,
  credentials: {
    accessKeyId: accessKey,
    secretAccessKey: secretKey,
  },
});

If accessKey or secretKey reaches an API response, logs, or error messages, the scan can flag the exposure. middleBrick’s LLM/AI Security checks do not apply here because this scenario involves traditional API key leakage rather than prompt injection, but the data exposure risk is significant regardless. Proper remediation involves tightening configuration access, ensuring keys never propagate to client-side contexts, and applying least-privilege IAM policies scoped to specific DynamoDB tables and actions.

Remediation focuses on preventing API keys from appearing in application outputs, logs, or error traces, and on enforcing least-privilege access for DynamoDB operations. In AdonisJS, avoid embedding raw credentials in client constructors; instead, rely on environment variables that are validated and restricted at runtime, and ensure that any logging or error handling filters sensitive values.

Use the AWS SDK’s default credential provider chain where possible, and avoid manually passing keys unless absolutely necessary. When credentials must be provided, scope them tightly using IAM policies that limit actions to specific DynamoDB tables and operations. Below is a safer pattern that reads credentials from environment variables but does not expose them, and configures the client with region-only exposure:

const { DynamoDB } = require('@aws-sdk/client-dynamodb');
const region = Env.get('AWS_REGION', 'us-east-1');

// Rely on the default credential provider chain (e.g., EC2 instance profile, ECS task role, or environment variables)
const client = new DynamoDB({ region });

If you must provide explicit credentials (for example, in a local development setup), ensure they are cleared from logs and never serialized into responses:

const { DynamoDB } = require('@aws-sdk/client-dynamodb');
const { fromIni } = require('@aws-sdk/credential-providers');

const client = new DynamoDB({
  region: Env.get('AWS_REGION', 'us-east-1'),
  credentials: fromIni({ profile: 'dev' }), // Use named profiles instead of inline keys
});

In your routes, never return configuration or credential details. If you need to confirm connectivity, perform a lightweight table existence check without exposing keys:

const { DescribeTableCommand } = require('@aws-sdk/client-dynamodb');

async function checkTableExists(tableName) {
  try {
    const command = new DescribeTableCommand({ TableName: tableName });
    const response = await client.send(command);
    return { tableStatus: response.Table.TableStatus };
  } catch (error) {
    // Return a generic error to avoid leaking internal details
    return { error: 'Unable to describe table' };
  }
}

Additionally, configure IAM policies to follow the principle of least privilege. For a user-specific table access pattern, scope the policy to a specific table prefix and limit actions to those required by the application (e.g., dynamodb:GetItem, dynamodb:Query):

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "dynamodb:GetItem",
        "dynamodb:Query"
      ],
      "Resource": "arn:aws:dynamodb:us-east-1:123456789012:table/UserTable-*"
    }
  ]
}

By combining these practices—default credential chaining, strict IAM scoping, and output sanitization—you reduce the likelihood of API key exposure and align the application with secure configuration management expectations covered by middleBrick’s Data Exposure and BOLA/IDOR checks.