Railway
Security FAQ

What are common security mistakes in Railway apps?

Get instant answers about your app's security.

Short Answer

The mistakes we see repeatedly in Railway apps: public database endpoints; connection string logging; shared infrastructure risks. Each one is a specific failure mode of Railway's workflow — not generic programming mistakes.

Detailed Answer

The mistakes we actually see in Railway apps

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

1. Public Database Endpoints

*Why it happens:* Databases accessible from internet without Private Networking.

*Fix:* Enable Private Networking for all database connections.

2. Connection String Logging

*Why it happens:* Database URLs with credentials visible in logs.

*Fix:* Never console.log environment variables. Use structured logging.

3. Shared Infrastructure Risks

*Why it happens:* Free tier runs on shared infrastructure.

*Fix:* Use paid tier for production. Consider dedicated instances for compliance.

4. Auto-Deploy Without Review

*Why it happens:* Git push auto-deploys without security review.

*Fix:* Enable branch protection. Require PR reviews before deploy.

5. Volume Data Persistence

*Why it happens:* Deleted services may leave data on volumes.

*Fix:* Explicitly delete volumes. Encrypt sensitive data at rest.

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

Railway'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. "Public Database Endpoints" is high-likelihood in Railway specifically because nothing in Railway'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

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 Railway 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 Railway apps — is this overstated?

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

Three non-negotiable habits: (1) Configure row-level policies or server-side authorization middleware 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: Enable Private Networking for all database connections..