Bubble
Security FAQ

What are common security mistakes in Bubble apps?

Get instant answers about your app's security.

Short Answer

The mistakes we see repeatedly in Bubble apps: missing privacy rules; public api workflows; plugin security risks. Each one is a specific failure mode of Bubble's workflow — not generic programming mistakes.

Detailed Answer

The mistakes we actually see in Bubble apps

These aren't hypothetical — they're what VAS finds when it scans a Bubble app for the first time. Listed in order of how often they appear:

1. Missing Privacy Rules

*Why it happens:* Data types without privacy rules expose all data to all users. *What it's cost teams:* Security researchers regularly find Bubble apps with fully exposed databases.

*Fix:* Configure privacy rules for EVERY data type in Data → Privacy.

2. Public API Workflows

*Why it happens:* API workflows are public by default—anyone can call them.

*Fix:* Check 'This workflow requires authentication' on all API workflows.

3. Plugin Security Risks

*Why it happens:* Third-party plugins have access to your data with varying security.

*Fix:* Audit plugins. Remove unused ones. Only use trusted developers.

4. Visible Database Structure

*Why it happens:* Network requests reveal database schema to inspecting users.

*Fix:* Assume structure is known. Rely on privacy rules for security.

5. Client-Side Logic Visibility

*Why it happens:* Workflow logic partially visible in browser developer tools.

*Fix:* Move sensitive operations to backend workflows.

Why these specifically show up in Bubble (and not as much elsewhere)

Bubble's workflow optimizes for speed — idea to deployed app in minutes. The mistakes above aren't character flaws, they're the predictable output of a speed-optimized workflow that doesn't enforce security gates. "Missing Privacy Rules" is high-likelihood in Bubble specifically because nothing in Bubble's UI flows blocks it. The fix is treating security gates as non-negotiable, not as "I'll get to it later."

Security Research & Statistics

10.3%

of Lovable applications (170 out of 1,645) had exposed user data in the CVE-2025-48757 incident

Source: CVE-2025-48757 security advisory

4.45 million USD

average cost of a data breach in 2023

Source: IBM Cost of a Data Breach Report 2023

500,000+

developers using vibe coding platforms like Lovable, Bolt, and Replit

Source: Combined platform statistics 2024-2025

Expert Perspectives

There's a new kind of coding I call 'vibe coding', where you fully give in to the vibes, embrace exponentials, and forget that the code even exists.

Andrej KarpathyFormer Tesla AI Director, OpenAI Co-founder

It's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.

Andrej KarpathyFormer Tesla AI Director, OpenAI Co-founder

Check Your Bubble App's Security

VAS scans for all the security issues mentioned above. Get a comprehensive security report in minutes.

Get Starter Scan

More Questions About This Topic

How common are these mistakes in Bubble apps — is this overstated?

Understated, if anything. The majority of Bubble apps scanned for the first time have at least one of the high-likelihood mistakes above. "Missing Privacy Rules" in particular is the default state of a new Bubble app before any security work. Our sample skews toward apps whose owners care enough to scan — the base rate for never-scanned Bubble apps is higher.

What are the actual consequences when these mistakes ship to production?

The consequence ladder: (a) data exposure — emails, passwords, PII, payment info readable by anyone; (b) account takeover — if auth is weak, legitimate accounts get hijacked; (c) third-party abuse — an exposed OpenAI or Stripe key gets drained of quota or money; (d) regulatory — GDPR/CCPA notification requirements trigger at ~first exposure; (e) reputational — "Bubble app data breach" is a headline that doesn't age well. Each consequence compounds the next.

How do I avoid these mistakes when building with Bubble?

Three non-negotiable habits: (1) Configure database access controls at table/collection creation — before writing any feature code. (2) Treat any paste-a-key-into-code as a bug from the first keystroke, not "I'll move it to env vars later." (3) Run a VAS scan before every production deploy — five minutes of scanning prevents hours-to-weeks of breach response. Specifically: Configure privacy rules for EVERY data type in Data → Privacy..