Apigee for E-Commerce

E-commerce APIs expose payment flows, customer data, and inventory state, requiring precise control over authentication and data exposure. This tool scans API endpoints using read-only methods and returns a risk score with prioritized findings mapped to OWASP API Top 10 (2023). It checks authentication bypass paths, JWT misconfigurations, and sensitive data leakage such as PII and credit card patterns to help you validate security controls relevant to customer-facing services.

The scanner parses OpenAPI 3.0, 3.1, and Swagger 2.0 documents with recursive $ref resolution and cross-references spec definitions against runtime behavior. It flags undefined security schemes, deprecated operations, missing pagination, and overly permissive parameters that can lead to IDOR or mass assignment in catalog and checkout APIs. Example request to validate an OpenAPI spec:

openapi: 3.0.1
info:
  title: E-Commerce API
  version: 1.0.0
paths:
  /products:
    get:
      summary: List products
      securitySchemes:
        ApiKeyAuth:
          type: apiKey
          in: header
          name: X-API-Key
      responses:
        '200':
          description: OK

Authenticated scans at the Starter tier and above support Bearer tokens, API keys, Basic auth, and cookies. Domain verification is enforced through DNS TXT records or an HTTP well-known file to ensure only the domain owner can submit credentials. The scanner forwards a strict header allowlist—Authorization, X-API-Key, Cookie, and X-Custom-*—to limit exposure of internal services. This approach supports audit evidence for controls around authenticated session handling without storing or modifying backend state.

The scanner covers 12 categories aligned to OWASP API Top 10 and surfaces findings relevant to PCI-DSS 4.0 and SOC 2 Type II controls. Key checks include:

• Authentication issues such as JWT alg=none and misconfigured security headers that can bypass access controls.
• BOLA and BFLA via sequential ID probing and privilege escalation through admin endpoint discovery.
• Data exposure patterns including email, Luhn-validated card numbers, AWS and Stripe API keys, and error stack traces that leak implementation details.
• Input validation gaps like CORS wildcard with credentials, dangerous HTTP methods, and SSRF probes targeting internal metadata endpoints.
• Rate limiting configuration and oversized responses that can indicate resource consumption risks.
• LLM-specific probes across Quick, Standard, and Deep tiers to test for prompt injection, jailbreak, and data exfiltration scenarios in AI-assisted checkout flows.

Because this is a black-box scanner, it does not perform active SQL injection or command injection testing, and it does not detect business logic vulnerabilities that require domain-specific understanding.

The scanner does not fix, patch, block, or remediate findings; it reports results with guidance on how to address issues. You can integrate scans into your workflow via the web dashboard for trend tracking and branded compliance PDFs, the CLI with JSON or text output, or the GitHub Action to fail builds when scores drop below a defined threshold. The MCP server enables scanning from AI coding assistants, and the Pro tier adds scheduled rescans, diff detection, HMAC-SHA256 signed webhooks, and Slack or Teams alerts to support continuous monitoring aligned with your release cadence.