How I Would Fix database rules leaking customer data in a GoHighLevel client portal Using Launch Ready.

How I Would Fix database rules leaking customer data in a GoHighLevel client portal Using Launch Ready

The symptom is usually not subtle: one client logs in and sees another client's records, notes, invoices, or form submissions. In business terms, that is a data breach waiting to happen, and it can turn into lost trust, support fire drills, and compliance risk fast.

The most likely root cause is broken authorization at the data layer, not just a bad UI. If I were first on this, I would inspect the exact query path that loads portal data and verify whether every request is scoped to the logged-in account, contact, or tenant before anything is returned.

Triage in the First Hour

1. Check the affected screens in the portal.

• Open the customer dashboard, messages, invoices, and any custom lists.
• Confirm whether leakage is cross-account, cross-contact, or only visible to admins.

2. Review recent access logs.

• Look for repeated requests to the same endpoint with different account IDs.
• Check for unusual spikes in 200 responses where a 403 should have happened.

3. Inspect the GoHighLevel account structure.

• Verify sub-accounts, locations, pipelines, users, and permissions.
• Confirm whether portal users are mapped to the correct location or contact record.

4. Review automation and webhook flows.

• Check workflows that write to custom fields, tags, or external databases.
• Look for any step that fetches records without tenant filtering.

5. Inspect custom code and API integration settings.

• Review scripts embedded in pages, custom JavaScript, serverless functions, and middleware.
• Confirm secrets are stored safely and not exposed in client-side code.

6. Check recent deployments.

• Identify what changed in the last 24 to 72 hours.
• Roll back if the leak started after a release and you cannot prove isolation is intact.

7. Verify caching behavior.

• Check Cloudflare rules, page cache settings, browser cache headers, and any reverse proxy behavior.
• Make sure private portal pages are not being cached publicly.

8. Validate auth boundaries manually.

• Log in as two different test users.
• Compare every record they can access and confirm there is no overlap.

9. Capture evidence before changing anything.

• Save screenshots, request IDs, timestamps, and affected user IDs.
• This helps with debugging and makes post-fix verification easier.

## Quick checks I would run during triage
curl -I https://portal.example.com/dashboard
curl -I https://portal.example.com/api/customer-records

If those responses show cacheable headers on private pages or missing auth controls on API routes, I already have a strong lead.

Root Causes

| Likely cause | What it looks like | How I confirm it | | --- | --- | --- | | Missing tenant filter | A query returns all records instead of only one client's records | Inspect query logic for missing `account_id`, `location_id`, or `contact_id` filters | | Broken role checks | A normal user can access admin-only endpoints | Test direct endpoint access with a low-privilege account | | Cached private pages | One user's page content appears for another user | Check Cloudflare cache rules and response headers like `Cache-Control` | | Bad webhook mapping | Data from one client gets written into another client's record | Trace webhook payloads against destination IDs and custom field mappings | | Shared API key or secret misuse | Multiple clients read through one broad integration token | Review secret scope and whether keys are reused across tenants | | Client-side trust of hidden fields | User can edit a field in the browser and see unauthorized data | Inspect whether authorization depends on front-end values instead of server checks |

My default assumption is always this: if customer data leaked, at least one authorization check was done too late or not at all. The UI may be where the problem shows up, but the root cause is usually in how data is fetched or cached.

The Fix Plan

1. Freeze changes until isolation is proven.

• I would pause non-essential edits so we do not create a second incident while fixing the first one.
• If the leak is active in production, I would disable the exposed route or switch it to maintenance mode immediately.

2. Reproduce with two test tenants.

• Create two controlled accounts with clearly separate sample data.
• Verify exactly which request returns mixed data and which permission boundary fails.

3. Move authorization into the server side path.

• Every request must resolve identity first, then tenant scope second, then fetch data third.
• Never rely on front-end filters alone.

4. Tighten queries so they are tenant-scoped by default.

• Add mandatory filters such as location ID or contact ID to every database read path.
• If a query cannot prove ownership, it should return nothing.

5. Remove public access from private endpoints.

• Lock down any API route that serves portal content.
• Require authenticated sessions or signed tokens with short expiry times.

6. Fix caching for private content.

• Set private pages to `Cache-Control: no-store` where appropriate.
• Exclude authenticated routes from Cloudflare edge caching unless there is a proven safe strategy.

7. Rotate exposed secrets if needed.

• If logs or browser code exposed an API key, rotate it immediately.
• Replace shared secrets with least-privilege credentials scoped to one function only.

8. Audit automations that write customer data.

• Review workflows that create notes, update fields, send messages, or sync records externally.
• Make sure each automation writes only to records owned by that tenant.

9. Add defensive logging without leaking data.

• Log request IDs, user IDs, tenant IDs, status codes, and denial reasons.
• Do not log full customer payloads or secrets into application logs.

10. Deploy as a small safe change set.

• I would ship auth fixes first before redesigning unrelated screens or workflows.
• Smaller deploys reduce blast radius if something goes wrong again.

A safe production path usually looks like this:

For GoHighLevel specifically, I would also check location-level permissions and any custom portal logic tied to contacts or sub-accounts. Many leaks happen when a workflow assumes "logged in" means "authorized for all records," which is exactly how customer data escapes across accounts.

Regression Tests Before Redeploy

I would not redeploy until these checks pass:

1. Cross-tenant access test

• User A cannot see User B's records anywhere in the portal.
• Acceptance criteria: 0 unauthorized records visible across 10 repeated login tests.

2. Direct endpoint test

• Try loading protected API routes directly without valid session context.
• Acceptance criteria: unauthenticated requests return 401 or 403 every time.

3. Cache isolation test

• Refresh private pages after switching accounts in separate browsers.
• Acceptance criteria: no cached content from another user appears within 20 test swaps.

4. Role-based access test

• Compare standard user vs admin vs internal staff permissions.
• Acceptance criteria: each role sees only its approved actions and datasets.

5. Webhook integrity test

• Send known payloads into staging workflows only.
• Acceptance criteria: each payload updates only its intended record owner.

6. Session expiration test

• Let sessions expire naturally and confirm stale tokens fail safely.

- Acceptance criteria: expired sessions cannot read customer records after logout or timeout.

7. Error handling test

• Force missing IDs and malformed requests on purpose.

- Acceptance criteria: system returns clean errors without exposing stack traces or sensitive fields.

8. Manual exploratory review - Check mobile views too because some portals break permission display differently on small screens.

I would aim for at least 90 percent coverage on authorization-critical paths before shipping again. For a client portal handling customer information, that is not overkill; it is basic risk control.

Prevention

The fix should stop this incident once. The guardrails should stop it from coming back six weeks later when someone edits an automation at midnight.

• Security review on every release

- I would treat auth changes as high risk code review items with mandatory approval from someone who understands tenant boundaries.

• Default-deny data access

- New queries should fail closed unless they explicitly prove ownership.

• Private route cache policy

- Authenticated pages should never be edge-cached unless there is a documented exception with tests.

• Monitoring for abnormal reads

- Alert on spikes in cross-account lookups, 403 errors, and repeated requests for forbidden resources.

• Audit logs with tenant context

- Keep enough detail to reconstruct who accessed what, but avoid storing full personal data in logs.

• Secrets hygiene

- Use environment variables, rotate credentials quarterly, and remove unused integrations.

• UX guardrails

- If users do not have permission, show a clear "not available" state instead of silently rendering partial data.

• Performance guardrails

- Private portal pages should still load fast after security hardening; I would keep p95 response time under 500 ms for authenticated reads where possible, and watch that added checks do not inflate TTFB.

When to Use Launch Ready

Launch Ready fits when you need this fixed fast without turning it into a long consulting project. email, Cloudflare, SSL, deployment, secrets, monitoring, DNS, redirects, subdomains, caching, DDoS protection, SPF/DKIM/DMARC, production deployment, environment variables, secrets handling, uptime monitoring, and a handover checklist.

I would use it when:

• The portal works but is not production-safe yet.
• You need secure deployment after an AI-built build-out from GoHighLevel or connected tools like React apps,

custom portals, or automations around it.

What I need from you before starting:

• Admin access to GoHighLevel location(s) and relevant sub-accounts
• Domain registrar access
• Cloudflare access if already connected
• Email sending provider details if mail deliverability matters
• A list of recent changes plus any screenshots of leaked views
• Any custom code snippets,

webhooks, or middleware involved

My recommendation is simple: do not keep patching this yourself if customer records are already leaking across accounts. Bring me in for the sprint, let me lock down deployment and delivery properly, then your team can focus on sales instead of incident cleanup.

References

• https://roadmap.sh/api-security-best-practices
• https://roadmap.sh/cyber-security
• https://roadmap.sh/qa
• https://roadmap.sh/code-review-best-practices
• https://developers.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.*