Vibe-app security · 2026
Is your Lovable app secure? The 5 most common security gaps
Almost every AI-built app ships with security flaws — most founders don't know it. Here are the five most dangerous gaps, how to spot them without a developer, and what they can cost in the DACH region.
By Janni Hares ·
The honest answer: usually not yet. In a study of 1,072 apps built with Lovable, Bolt, v0 and Replit, 98% had security flaws, 16% of them critical. The most dangerous ones are almost always the same: a database without access control (Row Level Security), a full-access key (service_role) in the browser, a publicly reachable .env file, API keys visible in the code, and missing login checks. The good part: many of these are checkable from the outside — a free Rescue Scan shows in minutes whether your app is affected.
TL;DR — the numbers
- 98% of the AI-built apps studied had security flaws, 16% of them critical (Symbiotic Security, 1,072 apps).
- Most common critical mistake: missing database access control (Row Level Security). In 170 of 1,645 Lovable apps this exposed emails, payment data or API keys (CVE-2025-48757).
- In our own audit, across 12 typical MVP features not a single authorization control was met (0%) and no test was written.
- The single most expensive mistake: a service_role key in the browser — it defeats every access control, no matter how well configured otherwise.
- Most of these gaps are detectable from the outside, without access to your code — the free scan checks exactly these signals.
Why almost every AI app has gaps
AI builders like Lovable, Bolt or v0 optimise for one thing: producing something visible in hours. Security is invisible — it only shows up when it's too late. The AI builds a working login, but whether everyone really only sees their own data behind it, it doesn't check. What vibe coding is and why this happens is in the glossary.
The numbers are clear. An independent study of 1,072 AI-built apps found 98% had security flaws, 16% of them critical. And our own vibe-code audit shows where it breaks: across 12 typical MVP features, not a single authorization control was met — the AI builds the door but no lock.
That doesn't mean your app is lost. It just means „it runs“ and „it's secure“ are two different things. The good news — most gaps follow a pattern, and that's exactly what makes them checkable.
The 5 most dangerous security gaps — in plain terms
1. Database without access control (Row Level Security). By far the most common critical mistake. Without this rule, in theory any visitor can read or change all records — not just their own. In the documented Lovable flaw (CVE-2025-48757) this exposed emails and payment data.
2. The full-access key in the browser (service_role). Supabase has two keys: a harmless one for the browser and a secret one with full access. If the secret one accidentally ends up in the shipped code, all protection is worthless — whoever reads it can read, change and delete the whole database.
3. The publicly reachable .env file. This file holds passwords and keys. If it's accidentally published, it can often simply be opened via the URL — giving instant access to everything.
4. API keys directly in the code. Keys for payment services, AI services or email belong on the server, not in the browser. Visible in the code, they mean other people's costs on your bill or misuse in your name.
5. Missing login checks at sensitive spots. Often a page or interface is „protected“ but doesn't actually check whether the caller is logged in and authorized. Exactly this control was missing throughout our audit.
How to spot them without a developer
You don't need to read code. Some of these gaps are visible from the outside — that's where a security scan comes in. Enter your public URL into the Rescue Scan: it checks whether a service_role key is in the browser, whether .env or .git files are publicly reachable, whether known API keys are in the code, and whether basic protection headers are missing.
It takes minutes, costs nothing, and you give us no access to code or database. The result is a clear Go/Iterate/Stop per area with an explanation — no jargon, just what it means for you.
Some things can't be judged conclusively from the outside — above all database access control. For that you optionally connect your GitHub project with read-only access and we check the rules actively. How to handle a wobbling app in general is in Lovable app not working anymore.
The GDPR factor in the DACH region
In Germany, Austria and Switzerland an open database isn't just a technical problem but a legal one. If personal data — names, emails, payment data — is processed without adequate protection, that's a reportable data breach and can get expensive.
On top come the smaller but common issues: Google Fonts loaded at runtime from the US (already the subject of warnings in Germany), US trackers without consent, and missing legal pages like an imprint and privacy policy. The Rescue Scan checks these privacy signals as a separate area.
Important and honest: a scan is a technical classification, not individual legal advice. For your specific case, a look from a data protection officer or lawyer belongs in the mix — the scan tells you where to look at all.
What to do when you find a gap
First: don't panic-ask the AI to „make it secure“ ten times — that only changes more code without understanding the cause. Instead prioritise by severity: a service_role key in the browser or an open .env are immediate items (regenerate the key, remove the file); missing headers are important but not urgent.
The most important step is database access control. If you're unsure about it, get help before real user data is in there — making a mistake here is more expensive than any consultation.
That's exactly what the next step after the scan is for: you optionally connect your project, we check deeply and prepare a concrete, non-binding fixed-price offer to fix it — no hourly rate, clear order. Whether repair or rebuild is worthwhile, the scan classifies too.
Sources
All figures in this article come from the following sources. As of July 2026.
- Symbiotic Security — „We scanned 1,072 vibe-coded apps: 98% had security flaws“ (2025)
- NVD — CVE-2025-48757: fehlender Row-Level-Security-Schutz in Lovable-Apps
- decivo Vibe-Code-Audit v1.0 (2026), CC BY 4.0 — 0 % erfüllte Autorisierungs-Kontrollen über 12 Features
- OWASP — Top 10 Web Application Security Risks
An insecure Lovable app is no reason to panic — but a reason to look before real data is in there. Scan for free now →
Frequently asked
Lovable app security: the key questions
Is my Lovable app automatically secure?
No. In a study of 1,072 AI-built apps, 98% had security flaws. AI builders create working features, but access control — especially at the database level — usually stays open. A free scan shows from the outside whether your app is affected.
What is the most dangerous mistake?
Two stand out: a database without access control (Row Level Security), through which anyone can read all data, and a service_role key in the browser, which completely defeats all protection. Both are among the most common findings in AI-built apps.
Can I check the security myself?
Partly yes. A security scan checks externally visible signals like keys readable in the browser, publicly reachable .env files or missing protection headers — no access needed. We check database access control actively when you optionally connect your GitHub project with read access.
Is an open database a GDPR problem?
Yes. If personal data is processed without adequate protection, in the DACH region that's a reportable data breach and can lead to warnings or fines. A scan is a technical classification, not legal advice — it shows you where to look.
What does the security scan cost?
The scan and the summarised result are free and non-binding. For a deeper check and a fix offer, you optionally connect your GitHub project with read-only access — from which we prepare an individual fixed-price offer.
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