What vulnerabilities are found in Lovable apps?
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Short Answer
Scans of Lovable apps surface a recurring set of findings: complete database exposure via missing rls, api key theft from js bundles, and account takeover via weak auth. 2 of these have documented real-world exploitation.
Detailed Answer
Reference incident
In January 2025, a critical RLS misconfiguration was discovered affecting 170+ Lovable apps, exposing emails, API keys, payment details, and personal data. This vulnerability highlights why scanning your Lovable app for security issues is essential before launch. This is the backdrop for every Lovable vulnerability discussion — apps were demonstrably exposed, and the root causes were configuration, not platform code.
The vulnerabilities actually found in Lovable apps
Not theoretical OWASP categories — specifically what appears when VAS, security researchers, and bug bounty hunters look at live Lovable deployments:
- **[CRITICAL]** **Complete Database Exposure via Missing RLS** *(high likelihood)*
Supabase tables without Row Level Security can be queried by anyone with the public anon key.
*Observed:* CVE-2025-48757: 170+ Lovable apps had exposed databases discovered and reported.
*Fix:* Enable RLS on all tables and write policies that verify auth.uid() matches data ownership.
2. **[HIGH]** **API Key Theft from JS Bundles** *(high likelihood)*
OpenAI, Stripe, and other API keys hardcoded in frontend code are easily extracted.
*Observed:* Attackers routinely scan JS files for patterns like 'sk-' and 'sk_live_'.
*Fix:* Move all secrets to server-side functions. Use Supabase Edge Functions for API calls.
3. **[HIGH]** **Account Takeover via Weak Auth** *(medium likelihood)*
Missing email verification and weak passwords enable account compromise.
*Fix:* Enable email verification, enforce password requirements, add rate limiting.
4. **[CRITICAL]** **Data Manipulation via Open RLS** *(medium likelihood)*
Even if RLS exists, overly permissive policies allow cross-user data modification.
*Fix:* Audit policies to ensure proper ownership checks on all CRUD operations.
5. **[HIGH]** **XSS via Missing Security Headers** *(low likelihood)*
Without CSP and other headers, injected scripts can steal sessions and data.
*Fix:* Configure security headers in hosting platform (Vercel, Netlify).
Distribution by severity
Of the findings above, 2 sit at critical impact (full data exposure), 3 at high (significant data or account compromise), and the rest are medium-or-lower (attack surface expansion). A first-scan Lovable 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
average cost of a data breach in 2023
Source: IBM Cost of a Data Breach Report 2023
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.”
“It's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.”
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Get Starter ScanMore Questions About This Topic
How severe are the vulnerabilities typically found in Lovable apps?
Lovable apps lean critical: Complete Database Exposure via Missing RLS 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 Lovable 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 Lovable app?
Each finding comes with a specific fix. Example: for "Complete Database Exposure via Missing RLS" → Enable RLS on all tables and write policies that verify auth.uid() matches data ownership. VAS exports these as markdown you can feed directly into Lovable's AI (or any other AI assistant) to apply the fix in-place. Re-scan afterward to confirm.
Can vulnerabilities in Lovable 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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