What vulnerabilities are found in v0.dev apps?
Get instant answers about your app's security.
Short Answer
v0.dev app scans surface the same cluster of vulnerabilities repeatedly: xss via dangerouslysetinnerhtml, missing input validation, placeholder api calls. The pattern is stable across v0.dev versions.
Detailed Answer
The vulnerabilities actually found in v0.dev apps
Not theoretical OWASP categories — specifically what appears when VAS, security researchers, and bug bounty hunters look at live v0.dev deployments:
- **[HIGH]** **XSS via dangerouslySetInnerHTML** *(medium likelihood)*
AI may suggest React patterns that render unsanitized user content.
*Fix:* Search for dangerouslySetInnerHTML. Sanitize all dynamic HTML with DOMPurify.
2. **[HIGH]** **Missing Input Validation** *(high likelihood)*
v0 generates UI but not server-side validation logic.
*Fix:* Add server-side validation for all form inputs. Never trust client-side only.
3. **[MEDIUM]** **Placeholder API Calls** *(medium likelihood)*
Generated code may include placeholder URLs or fake endpoints.
*Fix:* Review all fetch/API calls. Replace placeholders before deployment.
4. **[HIGH]** **Client-Side Auth Patterns** *(medium likelihood)*
UI-only auth flows that can be bypassed.
*Fix:* Implement real auth with NextAuth.js, Clerk, or Supabase Auth.
5. **[MEDIUM]** **Outdated Dependencies** *(low likelihood)*
Suggested packages may have known vulnerabilities.
*Fix:* Run npm audit after installation. Update vulnerable packages.
Distribution by severity
Of the findings above, 0 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 v0.dev 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 v0.dev apps?
v0.dev apps lean critical: XSS via dangerouslySetInnerHTML alone can expose the full user dataset in one query. 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 v0.dev app?
Each finding comes with a specific fix. Example: for "XSS via dangerouslySetInnerHTML" → Search for dangerouslySetInnerHTML. Sanitize all dynamic HTML with DOMPurify. VAS exports these as markdown you can feed directly into v0.dev's AI (or any other AI assistant) to apply the fix in-place. Re-scan afterward to confirm.
Can vulnerabilities in v0.dev 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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