How I Would Fix exposed API keys and missing auth in a GoHighLevel AI-built SaaS app Using Launch Ready.

How I Would Fix exposed API keys and missing auth in a GoHighLevel AI-built SaaS app Using Launch Ready

The symptom is usually obvious: someone finds a public endpoint, a frontend bundle, or a GoHighLevel workflow that lets them call your app without logging in, and the app also exposes API keys in the browser, logs, or shared automations. In business terms, that means customer data exposure, unauthorized actions, surprise usage bills, and a support fire drill.

The most likely root cause is that the product was stitched together fast with AI tools and no security boundary was enforced between the UI, GoHighLevel automations, and the backend. The first thing I would inspect is where secrets live and where auth is actually checked: frontend code, environment variables, webhook handlers, custom endpoints, and any GoHighLevel workflows that trigger privileged actions.

Triage in the First Hour

1. Check whether any API key appears in:

• browser devtools network calls
• frontend source bundles
• Git history
• server logs
• GoHighLevel workflow steps or custom code blocks

2. Confirm which actions are currently unauthenticated:

• login
• contact creation
• lead export
• billing changes
• admin settings
• AI prompt execution
• webhook-triggered automation

3. Inspect deployment surfaces:

• Cloudflare DNS records
• subdomains
• staging vs production URLs
• public preview links
• old test endpoints still live

4. Review access paths in GoHighLevel:

• workflows with webhooks
• custom fields holding secrets
• snapshots or cloned pipelines
• integrations connected to third-party APIs

5. Check whether the app has any auth middleware at all:

• route guards
• session validation
• JWT verification
• role checks for admin routes

6. Look at monitoring signals:

• unusual request spikes
• 401/403 gaps where there should be failures
• high API usage from one IP or user agent
• error logs showing secret values or tokens

7. Freeze risky changes:

• pause outbound automations that touch money, email, or CRM data
• disable any exposed admin links if possible
• rotate anything already confirmed as leaked

A simple rule: if I will not explain who can do what from the logs alone, the app is not safe to keep open.

## Quick checks I would run on the deployment side
grep -R "sk_live\|api_key\|secret\|token" .
grep -R "Authorization\|Bearer" src public .

Root Causes

1. Secrets were embedded in frontend code.

• Confirmation: inspect built JS bundles and network requests.
• If a key is visible in `public/`, `src/`, or browser requests, it is already compromised.

2. The app trusts client-side auth state.

• Confirmation: log out and retry protected actions using direct requests.
• If actions still work after removing cookies or local storage tokens, auth is missing on the server.

3. GoHighLevel workflows are acting as a backend without access control.

• Confirmation: review webhook triggers and custom code steps.
• If a workflow can update records or call APIs without verifying identity first, anyone who reaches the trigger can abuse it.

4. Environment variables were copied into public build settings.

• Confirmation: check hosting dashboard variables and build logs.
• If secrets were added as frontend-exposed variables instead of server-only variables, they may be shipped to users.

5. Old test endpoints are still live.

• Confirmation: scan subdomains, preview URLs, and forgotten routes.
• If staging URLs return production data or accept writes, they are part of the breach surface.

6. Missing role separation inside the app.

• Confirmation: test low-privilege accounts against admin screens.
• If every signed-in user can reach billing, exports, or integration settings, authorization is incomplete even if login exists.

The Fix Plan

My priority is to stop exposure first, then repair access control, then clean up secrets. I would not start with redesigning flows or refactoring everything at once because that creates more risk than it removes.

1. Rotate every exposed secret immediately.

• Revoke old API keys in the provider dashboard.
• Replace them with new server-side secrets only.
• Assume anything seen in frontend code or logs is burned.

2. Move all privileged API calls behind a server layer.

• The browser should never call third-party APIs directly with sensitive credentials.
• Use backend routes or serverless functions to proxy requests after auth checks.
• Keep keys in environment variables only on the server side.

3. Add authentication on every protected route and action.

• Require session validation before reads that expose customer data.
• Require role checks before writes that affect billing, integrations, exports, or admin settings.
• Deny by default if identity cannot be verified.

4. Lock down GoHighLevel workflows.

• Add an authenticated handoff step before any privileged automation runs.
• Use signed webhooks or internal-only triggers where possible.
• Remove workflows that depend on hidden assumptions like "only trusted users will hit this link."

5. Separate public and private surfaces.

• Public pages can stay open if they only show marketing content.
• App dashboards, admin tools, internal APIs, and workflow callbacks must be private.
• Put admin tools on separate subdomains with stricter access rules if needed.

6. Sanitize logs and error messages.

• Remove tokens from application logs immediately.
• Replace raw stack traces with safe error responses.
• Make sure failed requests do not echo secrets back to users.

7. Add rate limits and abuse controls.

• Limit login attempts and sensitive endpoints.
• Rate limit webhook receivers where practical.
• Add Cloudflare protection for noisy public routes.

8. Verify deployment hygiene through Launch Ready standards.

• Set correct DNS records for domain and subdomains.
• Enforce SSL everywhere with redirects to HTTPS.
• Configure SPF/DKIM/DMARC for email trust and deliverability.
• Turn on caching where safe and DDoS protection at the edge.

If I were doing this as a rescue sprint, I would keep scope tight: secure auth boundaries first, then re-deploy only after secrets are rotated and verified clean.

| Area | Unsafe State | Fixed State | |---|---|---| | API keys | Visible in frontend or logs | Server-only env vars | | Auth | Client-side only | Server-enforced sessions | | Admin access | Shared routes | Role-based access control | | Webhooks | Trusts caller blindly | Signed or verified callbacks | | Logs | Leak tokens/errors | Redacted safe logs |

Regression Tests Before Redeploy

I would not ship until these checks pass:

1. Authentication tests

• Unauthenticated users get blocked from protected routes with 401 or 403 responses.
• Logged-out users cannot perform write actions by replaying old requests.

2. Authorization tests

• A normal user cannot access admin pages or other tenants' records.
• A user cannot change billing settings unless their role allows it.

3. Secret exposure tests

• No API key appears in browser bundles, console output, network responses, or public repository files.
• No secret values appear in logs after failed requests.

4. Workflow tests in GoHighLevel

• Each automation fires only when expected input is present and validated.
• Webhook-triggered actions fail closed if identity cannot be confirmed.

5. Smoke tests after rotation

• New keys work from the server layer only.
• Old keys return failure because they were revoked correctly.

6. Security acceptance criteria

• 100 percent of protected endpoints require auth checks at the server boundary.
• Zero secrets are present in client-side code paths.
• All critical actions log actor ID, timestamp, route name, and result without leaking tokens.

7. Operational checks

Expected:
401 for unauthenticated protected requests,
403 for unauthorized roles,
200 only after valid session + correct role,
no secret values in response bodies,
no sensitive errors in client console output.

8. Manual exploratory testing

• Try direct URL access to dashboard pages without login.
• Try stale sessions after logout.
• Try invalid webhook payloads to confirm they fail safely.

Prevention

I would put guardrails around both code review and deployment so this does not happen again.

1. Security review checklist for every change

• Does this route need auth?
• Does this action need role checks?
• Could this response leak data?
• Are any secrets present in client code?

This catches most AI-built app mistakes before they ship.

2. Secret handling policy - Never store real credentials in frontend files or shared docs. - Use environment variables only on trusted servers. - Rotate keys on schedule and immediately after exposure incidents.

3. Monitoring and alerting - Alert on unusual request spikes to sensitive endpoints。 - Track 401/403 rates so missing auth does not go unnoticed。 - Monitor outbound API spend so leaked keys do not drain budget overnight。

4. Safer UX patterns - Hide destructive actions behind confirmation screens。 - Show clear permission errors instead of silent failures。 - Make account switching explicit so users know which tenant they are acting under。

5. Deployment guardrails through Launch Ready standards - Use Cloudflare for edge protection and caching。 - Force HTTPS with redirects across all subdomains。 - Set uptime monitoring so outages are caught fast。 - Keep a handover checklist so nothing stays tribal knowledge。

6. Performance guardrails too - Do not move auth into slow client-side polling。 - Keep p95 response time under 300 ms for normal dashboard reads where possible。 - Avoid bloated frontend bundles that expose more code than necessary。

When to Use Launch Ready

Launch Ready fits when the product works but is too risky to keep shipping as-is because domain setup, email trust, SSL, secrets handling, deployment hygiene, or monitoring are incomplete.

It includes: - DNS setup and redirects - subdomains - Cloudflare - SSL - caching - DDoS protection - SPF/DKIM/DMARC - production deployment - environment variables - secrets handling - uptime monitoring - handover checklist

What I need from you before starting: 1. Domain registrar access . 2. Hosting access . 3. Cloudflare access if already connected . 4 . GoHighLevel admin access . 5 . List of third-party integrations . 6 . Any known leaked key names or screenshots .

If you have an active breach suspicion , I would treat this as urgent infrastructure work first , not product polish . The goal is to stop exposure , restore trust , and make sure your next paid traffic does not land on broken security .

References

1 . Roadmap .sh Cyber Security https://roadmap.sh/cyber-security

2 . Roadmap .sh API Security Best Practices https://roadmap.sh/api-security-best-practices

3 . Roadmap .sh Code Review Best Practices https://roadmap.sh/code-review-best-practices

4 . Cloudflare Security Docs https://developers.cloudflare.com/security/

5 . GoHighLevel Help Center https://help.gohighlevel.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.*