What vulnerabilities are found in Firebase apps?
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Short Answer
Scans of Firebase apps surface a recurring set of findings: test mode rules in production, auth without authorization, and admin sdk credential exposure. 1 of these have documented real-world exploitation.
Detailed Answer
The vulnerabilities actually found in Firebase apps
Not theoretical OWASP categories — specifically what appears when VAS, security researchers, and bug bounty hunters look at live Firebase deployments:
- **[CRITICAL]** **Test Mode Rules in Production** *(high likelihood)*
Security Rules allowing all reads/writes, often forgotten after development.
*Observed:* Firebase Console shows warnings but many developers ignore the 30-day deadline.
*Fix:* Replace test rules immediately. Use firebase emulator to test production rules.
2. **[HIGH]** **Auth Without Authorization** *(high likelihood)*
Rules check if user is logged in but not if they own the data.
*Fix:* Add request.auth.uid == userId checks to all document access rules.
3. **[CRITICAL]** **Admin SDK Credential Exposure** *(medium likelihood)*
Service account JSON in frontend code grants full admin access.
*Fix:* Admin SDK is server-only. Remove from client code immediately.
4. **[HIGH]** **Storage Rules Misconfiguration** *(medium likelihood)*
Cloud Storage with permissive rules allows malicious uploads.
*Fix:* Write storage.rules with proper auth checks and file type validation.
5. **[MEDIUM]** **Unvalidated Data Writes** *(medium likelihood)*
Rules check auth but don't validate data structure or types.
*Fix:* Add data validation in rules: request.resource.data.keys().hasOnly([...])
Distribution by severity
Of the findings above, 2 sit at critical impact (full data exposure), 2 at high (significant data or account compromise), and the rest are medium-or-lower (attack surface expansion). A first-scan Firebase app typically has 2–4 findings from this list live at any moment.
How to know which ones are in your app
Run a VAS scan. Each finding above is tested directly — we query your database to verify access controls are active, scan bundles for key patterns, probe auth endpoints for rate limiting, and check security headers in live responses. Output is a per-finding report with evidence and fix.
Security Research & Statistics
of Lovable applications (170 out of 1,645) had exposed user data in the CVE-2025-48757 incident
Source: CVE-2025-48757 security advisory
of data breaches involve databases with misconfigured access controls
Source: Verizon Data Breach Investigations Report
average cost of a data breach in 2023
Source: IBM Cost of a Data Breach Report 2023
Expert Perspectives
“Vibe coding your way to a production codebase is clearly risky. Most of the work we do as software engineers involves evolving existing systems, where the quality and understandability of the underlying code is crucial.”
“The problem with AI-generated code isn't that it doesn't work - it's that it works just well enough to ship, but contains subtle security flaws that are hard to spot.”
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Get Starter ScanMore Questions About This Topic
How severe are the vulnerabilities typically found in Firebase apps?
Firebase apps lean critical: Test Mode Rules in Production alone can expose the full user dataset in one query. That's a critical-impact finding with high likelihood — it is, in practice, the default state of an unscanned Firebase app. Compare to e.g. missing security headers (medium) which require additional exploitation. Triage accordingly: critical findings are measured in minutes-to-breach, mediums in weeks.
How do I fix vulnerabilities once they're found in my Firebase app?
Each finding comes with a specific fix. Example: for "Test Mode Rules in Production" → Replace test rules immediately. Use firebase emulator to test production rules. VAS exports these as markdown you can feed directly into Firebase's AI (or any other AI assistant) to apply the fix in-place. Re-scan afterward to confirm.
Can vulnerabilities in Firebase apps be exploited by a non-expert attacker?
Most can. Extracting an exposed API key is a single "view source" operation. Querying a table without RLS is a `curl` command. Exploiting missing rate limiting requires scripting skills equivalent to "follow a tutorial." Only a handful of the findings above (e.g., chained auth bypass) require specialist knowledge — the rest are routinely exploited by automated scanners with zero human involvement.
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