HIGH missing tlsflaskdynamodb

Missing Tls in Flask with Dynamodb

Missing Tls in Flask with Dynamodb — how this specific combination creates or exposes the vulnerability

A Flask application that communicates with Amazon DynamoDB over an unencrypted HTTP connection introduces a critical data exposure risk. When TLS is missing, requests and responses between the application and DynamoDB traverse the network in plaintext. This scenario commonly arises in development environments or misconfigured production setups where the AWS SDK is initialized without enforcing HTTPS or the endpoint is manually overridden to use http://dynamodb.region.amazonaws.com.

An attacker positioned on the same network or able to intercept traffic can capture sensitive data, including AWS access keys embedded in SDK calls, table names, and the contents of items being read or written. In the context of a scan, this maps to the Data Exposure and Encryption checks. Because middleBrick tests the unauthenticated attack surface, it can detect whether responses from the endpoint or metadata service references indicate cleartext communication. Findings may reference insecure transport patterns that violate OWASP API Top 10:2023 A05:2023 (Security Misconfiguration) and can intersect with compliance frameworks such as PCI-DSS and SOC2 that require encryption in transit.

Additionally, missing TLS can facilitate SSRF techniques if an internal DynamoDB endpoint is reachable via an unencrypted path, allowing the attacker to probe internal services. The scanner checks for encryption and data exposure, flagging endpoints that do not mandate TLS. Remediation guidance provided by middleBrick will emphasize enforcing HTTPS, validating server certificates, and ensuring the AWS SDK is not configured to disable SSL verification, which aligns with the scanner’s continuous monitoring capabilities in the Pro plan to detect regressions over time.

Dynamodb-Specific Remediation in Flask — concrete code fixes

To secure a Flask application using Amazon DynamoDB, enforce HTTPS and validate TLS configurations at the SDK level. The AWS SDK for Python (Boto3) defaults to HTTPS, but explicit configuration prevents accidental cleartext usage. Below are concrete, working examples demonstrating secure initialization and usage within a Flask route.

Secure DynamoDB client with enforced TLS

from flask import Flask, jsonify
import boto3
from botocore.exceptions import ClientError
from botocore.config import Config

app = Flask(__name__)

# Explicitly configure a secure DynamoDB client with HTTPS
# Ensure region is set; endpoint_url should use https:// in production
dynamodb = boto3.resource(
    'dynamodb',
    region_name='us-east-1',
    endpoint_url='https://dynamodb.us-east-1.amazonaws.com',
    config=Config(
        connect_timeout=5,
        read_timeout=10,
        retries={'max_attempts': 3},
        # Enforce SSL/TLS and verify the server certificate
        ssl_options={'ca_bundle': None}  # Use system CA bundle by default
    )
)

@app.route('/items/', methods=['GET'])
def get_item(item_id):
    try:
        table = dynamodb.Table('my-secure-table')
        response = table.get_item(Key={'id': item_id})
        item = response.get('Item')
        if item:
            return jsonify({'status': 'success', 'data': item})
        return jsonify({'status': 'not_found'}), 404
    except ClientError as e:
        return jsonify({'status': 'error', 'message': e.response['Error']['Message']}), 500

if __name__ == '__main__':
    # In production, use a WSGI server; ensure Flask runs with TLS termination at the load balancer
    app.run(ssl_context=('path/to/cert.pem', 'path/to/key.pem'))

DynamoDB scan with TLS enforcement and error handling

@app.route('/scan-table', methods=['GET'])
def scan_table():
    try:
        table = dynamodb.Table('my-secure-table')
        response = table.scan()
        data = response.get('Items', [])
        # Continue pagination if needed
        return jsonify({'count': len(data), 'items': data})
    except ClientError as e:
        error_code = e.response['Error']['Code']
        if error_code == 'UnrecognizedClientException':
            return jsonify({'error': 'Authentication failed. Check IAM credentials.'}), 403
        return jsonify({'error': error_code}), 500

These examples ensure that all DynamoDB interactions use encrypted transport. For local development, avoid overriding endpoint_url to HTTP endpoints. In CI/CD pipelines, the GitHub Action can be configured to fail builds if scans detect missing TLS, using the Pro plan’s threshold settings. The MCP Server allows on-demand scans from your IDE to catch insecure configurations early. middleBrick’s findings will highlight encryption issues and provide remediation guidance, helping you align with compliance requirements without attempting to automatically patch or block traffic.

Related CWEs: encryption

CWE IDNameSeverity
CWE-319Cleartext Transmission of Sensitive Information HIGH
CWE-295Improper Certificate Validation HIGH
CWE-326Inadequate Encryption Strength HIGH
CWE-327Use of a Broken or Risky Cryptographic Algorithm HIGH
CWE-328Use of Weak Hash HIGH
CWE-330Use of Insufficiently Random Values HIGH
CWE-338Use of Cryptographically Weak PRNG MEDIUM
CWE-693Protection Mechanism Failure MEDIUM
CWE-757Selection of Less-Secure Algorithm During Negotiation HIGH
CWE-261Weak Encoding for Password HIGH

Frequently Asked Questions

Can middleBrick detect missing TLS when scanning a Flask endpoint that uses DynamoDB?
Yes. middleBrick runs unauthenticated scans that include encryption and data exposure checks. If a Flask application communicates with DynamoDB over HTTP or accepts cleartext responses, the scanner will flag the endpoint in the findings report with severity and remediation guidance.
Does fixing missing TLS require code changes in the Flask app or infrastructure?
It typically requires both: ensure the AWS SDK uses HTTPS endpoints and enforce TLS at the network or load balancer layer. Use secure endpoint URLs, validate certificates, and leverage infrastructure options such as TLS termination at a load balancer. middleBrick’s dashboard can track improvements over time, and the Pro plan supports continuous monitoring to detect regressions.