Render
Security FAQ

What vulnerabilities are found in Render apps?

Get instant answers about your app's security.

Short Answer

Render app scans surface the same cluster of vulnerabilities repeatedly: auto-deploy to production, environment group over-sharing, preview environment leakage. The pattern is stable across Render versions.

Detailed Answer

The vulnerabilities actually found in Render apps

Not theoretical OWASP categories — specifically what appears when VAS, security researchers, and bug bounty hunters look at live Render deployments:

  1. **[HIGH]** **Auto-Deploy to Production** *(medium likelihood)*

Push-to-deploy can ship vulnerable code without review.

*Fix:* Disable auto-deploy for production. Use manual deploy with review.

2. **[HIGH]** **Environment Group Over-Sharing** *(medium likelihood)*

Team-wide env groups may expose secrets to unauthorized services.

*Fix:* Create separate groups for prod/staging. Limit group access.

3. **[MEDIUM]** **Preview Environment Leakage** *(medium likelihood)*

Preview environments share main app's environment by default.

*Fix:* Configure separate env vars for preview environments.

4. **[LOW]** **Free Tier Sleeping** *(medium likelihood)*

Services sleep, security monitoring may fail silently.

*Fix:* Use paid tier for production workloads.

5. **[MEDIUM]** **Missing Branch Protection** *(medium likelihood)*

Any push triggers deploy without approval.

*Fix:* Implement branch protection in your Git provider.

Distribution by severity

Of the findings above, 0 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 Render 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

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

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.

Simon WillisonSecurity Researcher, Django Co-creator

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.

Security Research CommunityCollective wisdom from security researchers

Check Your Render 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 severe are the vulnerabilities typically found in Render apps?

Render apps lean critical: Auto-Deploy to Production 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 Render app?

Each finding comes with a specific fix. Example: for "Auto-Deploy to Production" → Disable auto-deploy for production. Use manual deploy with review. VAS exports these as markdown you can feed directly into Render's AI (or any other AI assistant) to apply the fix in-place. Re-scan afterward to confirm.

Can vulnerabilities in Render 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.