Api Key Exposure on Aws

API key exposure in AWS environments typically occurs through hard-coded credentials in Lambda functions, exposed environment variables, or misconfigured IAM roles. When developers embed AWS access keys directly in source code, these keys become vulnerable if the code is committed to version control or shared publicly.

A common attack pattern involves discovering API keys in Lambda function code that have overly permissive IAM policies. For example, a Lambda function might contain:

const AWS = require('aws-sdk');
const s3 = new AWS.S3({
  accessKeyId: 'AKIAXXXXXXXXXXXXXXXX',
  secretAccessKey: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
});

exports.handler = async (event) => {
  const params = { Bucket: 'my-bucket', Key: 'file.txt' };
  const data = await s3.getObject(params).promise();
  return data.Body.toString();
};

This pattern is dangerous because the hardcoded credentials could allow an attacker to access any S3 bucket, EC2 instance, or other AWS service if the IAM policy grants broad permissions. The exposed keys might also be used to launch costly resources or exfiltrate sensitive data from RDS databases.

Another manifestation occurs through environment variable exposure in container-based services like ECS or EKS. When Docker containers run with AWS credentials mounted as environment variables, improper configuration can leak these credentials through logs, error messages, or debugging interfaces.

Detecting API key exposure in AWS requires examining both code repositories and runtime environments. Code scanning tools should look for patterns matching AWS access key formats (AKIA[0-9A-Z]{16} for access keys, [A-Za-z0-9/+]{40} for secret keys).

middleBrick's AWS-specific scanning examines API endpoints for exposed credentials in responses, headers, or error messages. The scanner tests for:

• Hardcoded AWS credentials in API responses
• Misconfigured IAM roles with excessive permissions
• Exposed temporary credentials from EC2 instance metadata
• Credentials leaked through verbose error messages
• API keys in URL parameters or headers

The scanner also checks for AWS-specific vulnerabilities like SSRF attacks that could access instance metadata (http://169.254.169.254/latest/meta-data/) to extract temporary credentials.

For runtime detection, AWS CloudTrail logs can reveal suspicious API key usage patterns. Look for API calls from unexpected IP addresses, unusual times of day, or access to services not typically used by the application.

middleBrick's CLI tool can scan AWS-hosted APIs with the command:

middlebrick scan https://api.example.com --output json --category aws

This performs black-box testing specifically tuned for AWS security patterns, checking for exposed credentials, misconfigured CORS policies, and vulnerable IAM configurations.

The proper AWS approach to API key management uses IAM roles instead of hardcoded credentials. For Lambda functions, use IAM execution roles:

// Secure approach using IAM role
const AWS = require('aws-sdk');
const s3 = new AWS.S3(); // Credentials automatically provided by IAM role

exports.handler = async (event) => {
  const params = { Bucket: 'my-bucket', Key: 'file.txt' };
  const data = await s3.getObject(params).promise();
  return data.Body.toString();
};

This eliminates hardcoded credentials entirely. The Lambda function runs with the permissions granted to its execution role, which should follow the principle of least privilege.

For EC2 instances and containers, use IAM roles for service accounts (IRSA) or instance profiles:

// Kubernetes with IRSA
import { S3Client } from '@aws-sdk/client-s3';
import { fromContainerCredentials } from '@aws-sdk/credential-provider-container';

const s3Client = new S3Client({
  region: 'us-east-1',
  credentials: fromContainerCredentials()
});

Implement AWS Secrets Manager for API keys that cannot use IAM roles:

import boto3
from botocore.exceptions import ClientError

def get_secret():
    secret_name = "my-api-key"
    region_name = "us-east-1"
    
    session = boto3.session.Session()
    client = session.client(
        service_name='secretsmanager',
        region_name=region_name
    )
    
    try:
        get_secret_value_response = client.get_secret_value(
            SecretId=secret_name
        )
    except ClientError as e:
        if e.response['Error']['Code'] == 'DecryptionFailureException':
            raise e
        elif e.response['Error']['Code'] == 'InternalServiceErrorException':
            raise e
        elif e.response['Error']['Code'] == 'InvalidParameterException':
            raise e
        elif e.response['Error']['Code'] == 'InvalidRequestException':
            raise e
        elif e.response['Error']['Code'] == 'ResourceNotFoundException':
            raise e
    else:
        return get_secret_value_response['SecretString']

Enable AWS Config rules to detect exposed credentials and use GuardDuty for continuous monitoring of API key misuse patterns.