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Antigravity
+
Firebase

Antigravity + Firebase Security

Antigravity builds full-stack apps with AI speed. Firebase is a common backend choice — but the Security Rules that protect your data are never written for you.

Why Antigravity + Firebase?

Firebase's no-backend setup makes it popular with AI app builders like Antigravity. The Firebase client SDK handles auth and data directly from the browser, removing the need for a dedicated API server. That convenience comes with the responsibility of writing Security Rules from scratch.

Common Vulnerabilities

These are the security issues we find most often in Antigravity apps using Firebase.

critical

Permissive Default Security Rules

Antigravity-generated Firebase projects frequently launch with test mode rules — allow read, write: if true — exposing all collections to the public internet.

critical

Admin SDK Credentials in Client Bundle

AI-generated code may accidentally include firebase-admin with a service account JSON, giving anyone who inspects the bundle full database access.

high

Missing Data Validation in Rules

Rules may check authentication but not validate incoming data shape or size, allowing malicious payloads to corrupt the database.

high

Broad Collection-Level Access

Rules may grant authenticated users access to entire collections rather than scoping access to their own documents.

What We Check for Antigravity + Firebase

Security Rules Audit

Attempt reads and writes on Firestore and Realtime Database as unauthenticated users to identify exposed collections.

Service Account Detection

Scan JavaScript bundles for service account JSON or firebase-admin imports in client-side code.

Rule Coverage

Verify every collection and document path has an explicit deny-by-default rule.

Data Validation Rules

Check that write rules validate incoming data fields and prevent unexpected schema changes.

Quick Security Wins

Apply these fixes right now to improve your security.

Replace test mode Firestore rules with: allow read, write: if request.auth != null && request.auth.uid == resource.data.userId;
Search your bundle for 'firebase-admin' or 'serviceAccount' — remove any matches immediately
Add field validation to write rules: request.resource.data.keys().hasOnly(['field1', 'field2'])
Deny access to all documents by default, then selectively allow
Deploy with firebase deploy --only firestore:rules,storage after testing with the Emulator

The Bottom Line

Antigravity + Firebase moves fast but leaves Security Rules as your responsibility. Before accepting real user data, replace every test mode rule with production-grade rules that enforce authentication and ownership.

Secure Your Antigravity + Firebase App

Find Security Rules misconfigurations, exposed credentials, and other vulnerabilities before attackers do.

Start Security Scan

Frequently Asked Questions

Why doesn't Antigravity set up Firebase Security Rules for me?

Antigravity generates application code but security policy is intentionally separate. Firebase Security Rules live in firestore.rules and storage.rules files that you own. The AI cannot safely infer your authorization requirements without your business logic.

Can an attacker do damage with only my Firebase project ID?

Yes — if your Security Rules are in test mode. Firebase project IDs are visible in frontend code by design. With test mode rules in place, anyone with your project ID can read, overwrite, or delete your entire database through the Firebase REST API.

How do I write a safe baseline set of Security Rules for Firestore?

Start with deny-all and open selectively. Set match /{document=**} to allow read, write: if false. Then add specific rules per collection that check request.auth.uid == resource.data.userId. This is safer than test mode because unknown paths are denied.

Is there a way to test rules without deploying them?

Yes. The Firebase Emulator Suite runs a local instance of Firestore with your rules. Run firebase emulators:start and use the Rules Playground in the Emulator UI or write unit tests with @firebase/rules-unit-testing to verify behavior before deploying.