checklists / launch-ready

Launch Ready API security Checklist for paid acquisition funnel: Ready for production traffic in mobile-first apps?.

If your paid acquisition funnel is going to take real traffic, 'ready' means more than 'the app loads on my phone.' It means a cold user can land from an...

Launch Ready API security Checklist for paid acquisition funnel: Ready for production traffic in mobile-first apps?

If your paid acquisition funnel is going to take real traffic, "ready" means more than "the app loads on my phone." It means a cold user can land from an ad, sign up, pay, verify email, and hit the first success screen without broken auth, leaked secrets, or a slow API that kills conversion.

For a mobile-first app, I would call it production-ready only if these are true:

  • No exposed secrets in the client bundle, repo history, or logs.
  • Auth flows are locked down with no obvious bypasses.
  • p95 API latency is under 500 ms for the core funnel endpoints.
  • The landing page and funnel pages hit at least 90 Lighthouse on mobile, with LCP under 2.5 s.
  • SPF, DKIM, and DMARC all pass for transactional email.
  • Cloudflare, SSL, redirects, and monitoring are in place before ads go live.
  • Failed requests degrade cleanly instead of breaking onboarding or payment.

If any of those fail, you do not have a traffic-ready funnel. You have a demo that will waste ad spend and create support load.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Auth is enforced server-side | Every protected route and API returns 401/403 when unauthenticated | Client-side checks are easy to bypass | Account takeover, data exposure | | Authorization is object-level | Users can only access their own records by ID | Mobile clients can guess IDs or replay requests | Cross-account data leaks | | Secrets are not shipped to the client | No API keys, private tokens, or admin URLs in frontend code | Frontend code is public by design | Credential theft, abuse costs | | Input validation exists on all funnel APIs | Schema validation rejects bad payloads and oversized fields | Paid traffic includes bots and malformed requests | Injection, crashes, bad data | | Rate limiting is enabled | Login, OTP, signup, and checkout endpoints are throttled | Ad traffic attracts abuse fast | Brute force, fraud, downtime | | CORS is locked down | Only approved origins can call private APIs | Wildcard CORS is a common mistake in prototypes | Token theft via browser abuse | | Email authentication passes | SPF/DKIM/DMARC all pass at least p=none to start, then tighten later | Funnel email needs inbox placement | Missed verification emails, spam complaints | | SSL and redirects are correct | HTTP goes to HTTPS and apex/subdomains resolve cleanly | Broken redirects kill mobile conversion quickly | Mixed content warnings, trust loss | | Monitoring is live | Uptime checks and error alerts exist before launch day | You need to know about failures before users do | Silent outages and lost spend | | Core funnel latency is acceptable | p95 under 500 ms for signup/payment/auth APIs; LCP under 2.5 s on mobile pages | Slow funnels convert worse and cost more per acquisition | Drop-offs, failed checkouts, lower ROAS |

The Checks I Would Run First

1) I would verify every auth decision happens on the server

Signal: A user cannot access another user's profile, order, subscription, or payment session by changing an ID in the request. If they can swap `userId=123` to `userId=124`, the app is not safe for paid traffic.

Tool or method: I would test this with browser dev tools plus a proxy like Burp Suite or Postman. I would inspect network calls from the mobile flow and replay them with altered IDs and missing tokens.

Fix path: Move authorization into backend middleware or service-layer checks. Do not trust client state. Use stable user-scoped queries like `WHERE owner_id = current_user_id`, not raw record lookups.

2) I would audit secrets handling end to end

Signal: No API keys appear in frontend bundles, public repos, build logs, CI output, or crash reports. If you can grep a secret from deployed JS or mobile assets, assume attackers can too.

Tool or method: I would scan the repo with `git grep`, secret scanners like TruffleHog or GitHub secret scanning, and inspect built assets from production. I also check environment variable usage in deployment settings.

Fix path: Move all privileged keys server-side. Rotate anything exposed. Use short-lived tokens where possible. For mobile apps especially, never ship admin credentials or provider secrets inside the app binary.

3) I would test input validation on every public endpoint

Signal: Signup forms reject malformed emails, oversized names, invalid phone numbers, SQL-like strings in text fields, and unexpected JSON shapes without crashing.

Tool or method: I would run schema-based tests with Zod, Joi, Yup, Pydantic-style validators depending on stack. Then I would fuzz key endpoints with invalid payloads and long strings.

Fix path: Validate at the boundary before business logic runs. Return clear 4xx errors. Cap field lengths. Reject unknown fields when possible. This reduces injection risk and avoids weird downstream failures.

4) I would check rate limits on the exact endpoints paid traffic hits

Signal: Login attempts after 5 to 10 failures slow down or block temporarily. OTP resend has limits. Signup and password reset do not allow unlimited retries from one IP or account.

Tool or method: I would use curl loops or k6 to simulate bursts against login and signup routes. I also check whether Cloudflare rules are active at the edge.

Fix path: Add rate limiting by IP plus account identifier where appropriate. Protect OTP resend separately from login. Add bot protection if fraud risk is high. This prevents brute force attacks and keeps support volume manageable.

5) I would confirm CORS and cookie settings are strict

Signal: Private APIs only accept requests from your approved web origins. Cookies use `Secure`, `HttpOnly`, and sensible `SameSite` values.

Tool or method: Inspect response headers in dev tools and test cross-origin requests from a dummy domain. Confirm no wildcard origin is paired with credentials.

Fix path: Lock CORS to exact domains only. Do not use `*` for authenticated routes. Set cookies correctly for mobile web flows so tokens are not exposed to JavaScript unless absolutely necessary.

6) I would measure funnel performance under realistic mobile conditions

Signal: On a mid-range phone over throttled network conditions:

  • LCP under 2.5 seconds
  • CLS under 0.1
  • p95 API response time under 500 ms
  • Checkout step transitions feel immediate enough that users do not retry taps

Tool or method: Lighthouse mobile audits plus WebPageTest or Chrome Performance panel. For backend timing I would inspect application metrics and database query timings during signup and checkout paths.

Fix path: Compress images, defer non-critical scripts, cache static assets through Cloudflare CDN if applicable, trim third-party tags that slow rendering, add missing DB indexes if API latency spikes on user lookup or entitlement checks.

## Example: strict cookie settings for authenticated web sessions
Set-Cookie: session=abc123; Path=/; HttpOnly; Secure; SameSite=Lax

Red Flags That Need a Senior Engineer

1. The frontend talks directly to privileged third-party APIs with hardcoded keys

  • That is not a "quick fix." It usually requires redesigning the auth model so secrets stay server-side.

2. Auth works only because the UI hides buttons

  • If authorization does not exist in backend code today, you have a production incident waiting to happen.

3. Email deliverability is already failing

  • If verification emails land in spam now with low volume testing already done badly configured SPF/DKIM/DMARC will get worse under paid traffic.

4. The app has no observability

  • No logs that help debug failures means you will discover problems through refunds and angry users instead of alerts.

5. You are launching ads into untested payment or onboarding flows

  • One broken redirect chain or one expired webhook secret can burn hundreds of dollars before anyone notices.

DIY Fixes You Can Do Today

1. Run a secret scan

  • Check your repo history plus current code for API keys.
  • Rotate anything exposed immediately.
  • Goal: zero exposed secrets before launch.

2. Test your core funnel on real mobile devices

  • Use iPhone Safari and Android Chrome.
  • Complete signup twice: once on Wi-Fi and once on throttled cellular.
  • Watch for broken modals, clipped buttons, keyboard issues, and stuck loading states.

3. Verify DNS and HTTPS

  • Make sure apex domain redirects correctly.
  • Confirm SSL is valid on main domain plus any subdomains used by auth or checkout.
  • Fix mixed content warnings before ads run.

4. Check email authentication

  • Validate SPF/DKIM/DMARC records using your provider's tester.
  • Send test verification emails to Gmail and Outlook accounts.
  • If they land in spam now they will perform worse at scale.

5. Add basic monitoring

  • Set uptime alerts for homepage login page checkout page and critical API health endpoints.
  • Add error reporting like Sentry so you can see failed signups within minutes instead of days.

Where Cyprian Takes Over

If your checklist shows gaps across domain setup deployment security headers secrets monitoring email deliverability or edge protection then Launch Ready is the right move instead of piecemeal fixes.

Here is how I map failures to the service deliverables:

| Failure found | What I do in Launch Ready | |---|---| | Broken DNS / wrong subdomain routing | Domain setup DNS records redirects subdomains | | Missing HTTPS / certificate issues | Cloudflare SSL configuration plus secure redirect rules | | Weak edge protection / noisy bot traffic | Cloudflare caching DDoS protection basic WAF hardening | | Emails failing authentication checks | SPF DKIM DMARC setup validation | | Secrets exposed in deployment settings | Environment variable cleanup secret handling review rotation guidance | | No production deployment process | Production deployment verification rollback-safe handover checklist | | No uptime visibility | Uptime monitoring setup alert routing basic incident checklist |

My delivery sequence looks like this:

1. Hour 0 to 8: Audit

  • DNS domains subdomains SSL deployment config secrets email records monitoring gaps.

2. Hour 8 to 24: Fix core blockers

  • Redirects SSL Cloudflare protection environment variables secret cleanup production deploy.

3. Hour 24 to 36: Harden launch path

  • Caching headers uptime checks email authentication handoff notes rollback points.

4. Hour 36 to 48: Verify handover

  • Final tests on mobile-first funnel paths checklist review known risks next steps owner notes.

If you want me to assess whether your current build can handle paid acquisition traffic without leaking data breaking auth flows or wasting ad spend go here: https://cal.com/cyprian-aarons/discovery

References

  • roadmap.sh code review best practices: https://roadmap.sh/code-review-best-practices
  • roadmap.sh api security best practices: https://roadmap.sh/api-security-best-practices
  • roadmap.sh cyber security: https://roadmap.sh/cyber-security
  • OWASP API Security Top 10: https://owasp.org/www-project-api-security/
  • Cloudflare documentation: https://developers.cloudflare.com/

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Take the next step

If this is a problem in your product right now, here is what to do next:

  • [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.
  • [Book a discovery call](/contact) - I will tell you honestly whether you need a sprint or if you can DIY the next step.

*Written by Cyprian Tinashe Aarons - senior full-stack and AI engineer helping founders rescue, launch, automate, and scale AI-built products.*

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About the author

Cyprian Tinashe AaronsSenior Full Stack & AI Engineer

Cyprian helps founders rescue, secure, deploy, and automate AI-built apps with production-grade engineering, launch systems, and AI integration.