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API Security Testing Playbook (OWASP API Top 10)

Build an OWASP API Top 10 testing playbook: BOLA, auth, mass assignment, rate-limit, and SSRF test cases with ready-to-run curl commands.

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What this prompt does

This prompt builds a hands-on API security testing playbook organized around the OWASP API Security Top 10 (2023). You describe the [api_description], [api_architecture], [auth_mechanism], [authz_model], [endpoint_count], and [data_sensitivity], and it generates concrete test cases — with runnable curl/httpie commands — for each category, plus a testing toolkit setup and a reporting template.

The structure works because it follows the real exploitation order: it starts with Broken Object Level Authorization (BOLA) and Broken Authentication, which is where most real API breaches actually happen, then works through mass assignment, resource consumption, function-level authorization, SSRF, and misconfiguration. By keying tests to your [authz_model] and [auth_mechanism], the JWT, IDOR, and privilege-escalation cases target your actual setup. The [automation_tool] slot turns the playbook into a regression suite you can wire into CI.

When to use it

  • You've built an API and want to test it against the OWASP API Top 10 before or after launch.
  • You need runnable curl/httpie cases, not an abstract checklist, to actually probe BOLA and auth flaws.
  • You're handling sensitive data ([data_sensitivity] like PII or PCI scope) and need documented security testing.
  • You want a Postman/Newman or [automation_tool] regression suite wired into CI to guard every deploy.
  • You're reviewing a multi-tenant API where object-level authorization is the highest risk.
  • You need a CVSS-scored reporting template with reproduction steps for findings.

Example output

You get a category-by-category playbook: BOLA tests that swap object IDs across CRUD operations, broken-auth tests probing JWT algorithm confusion and token replay, mass-assignment and response-filtering checks, resource-consumption tests (rate limits, pagination abuse, ReDoS), function-level authorization tests, and SSRF/misconfiguration coverage — each with curl or httpie commands. It closes with a toolkit setup (Burp, Postman/Newman, your [automation_tool]) and a CVSS 4.0 reporting template with reproduction steps and remediation.

Pro tips

  • Describe [authz_model] precisely (RBAC, org-scoped, tenant isolation); the BOLA and privilege-escalation tests are built around it.
  • Specify your exact [auth_mechanism] so the JWT and session tests match your token and refresh setup.
  • Set [data_sensitivity] honestly — PCI or PII scope raises the priority of response-filtering and mass-assignment tests.
  • Use [automation_tool] to get a regression script you can run in CI, not just one-off manual commands.
  • Only run these tests against systems you own or are authorized to test; the playbook is for defensive work.
  • Start with BOLA and broken auth as the prompt orders them — that's where the highest-impact findings usually are.

Frequently Asked Questions

Which OWASP standard does this cover?
The OWASP API Security Top 10, 2023 edition — including BOLA (API1), Broken Authentication (API2), Broken Object Property Level Authorization (API3), and the rest through improper inventory management and unsafe consumption of external APIs. Each category gets concrete, runnable test cases.
Does it give me commands I can actually run?
Yes. It generates curl and httpie commands for each test case, such as swapping object IDs to probe BOLA or sending extra fields to test mass assignment. Only run them against APIs you own or have explicit authorization to test.
Can I automate these tests in my CI pipeline?
It produces a Postman/Newman collection structure and a script in your chosen `[automation_tool]` (for example Python with requests and pytest) so you can wire the regression suite into CI/CD and re-run the same checks on every deploy.
Will it work for GraphQL APIs too?
Partially. If you note GraphQL in `[api_architecture]`, it includes complexity and depth-limit tests under unrestricted resource consumption. The bulk of the playbook is REST-oriented, so GraphQL-specific concerns like introspection abuse may need additional manual coverage.
Engr Mejba Ahmed

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Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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