Supabase
Security FAQ

What are common security mistakes in Supabase apps?

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Short Answer

The mistakes we see repeatedly in Supabase apps: tables without rls; service role key exposure; permissive rls policies. Each one is a specific failure mode of Supabase's workflow — not generic programming mistakes.

Detailed Answer

The mistake pattern behind Most Supabase Security Issues: Missing RLS

The majority of Supabase security incidents stem from tables without Row Level Security enabled. When RLS is disabled, anyone with your anon key can read, modify, or delete all data in that table. This is the reference mistake for Supabase apps — the one that caused documented breaches. Understanding it is how you avoid joining the count.

The mistakes we actually see in Supabase apps

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

1. Tables Without RLS

*Why it happens:* Any table without RLS enabled is fully exposed via the public API. *What it's cost teams:* This is the #1 vulnerability in Supabase apps, affecting majority of vibe-coded projects.

*Fix:* ALTER TABLE name ENABLE ROW LEVEL SECURITY; on every table.

2. Service Role Key Exposure

*Why it happens:* The service_role key bypasses all RLS and grants admin access.

*Fix:* Never use service_role in frontend. Keep it server-side only. Rotate if exposed.

3. Permissive RLS Policies

*Why it happens:* Policies that allow more access than intended (e.g., any authenticated user).

*Fix:* Use (select auth.uid()) = user_id pattern. Test policies with different contexts.

4. Unprotected RPC Functions

*Why it happens:* Database functions callable without authentication.

*Fix:* Add auth.uid() IS NOT NULL checks at the start of all functions.

5. Storage Bucket Exposure

*Why it happens:* Storage buckets without policies allow public read/write.

*Fix:* Configure storage policies to require authentication and ownership.

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

Supabase'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. "Tables Without RLS" is high-likelihood in Supabase specifically because nothing in Supabase'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

91%

of data breaches involve databases with misconfigured access controls

Source: Verizon Data Breach Investigations Report

4.45 million USD

average cost of a data breach in 2023

Source: IBM Cost of a Data Breach Report 2023

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

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More Questions About This Topic

How common are these mistakes in Supabase apps — is this overstated?

Understated, if anything. The majority of Supabase apps scanned for the first time have at least one of the high-likelihood mistakes above. "Tables Without RLS" in particular is the default state of a new Supabase app before any security work. Our sample skews toward apps whose owners care enough to scan — the base rate for never-scanned Supabase apps is higher.

What are the actual consequences when these mistakes ship to production?

The majority of Supabase security incidents stem from tables without Row Level Security enabled. That's the documented consequence. Beyond exposed data itself, consequences include: credential rotation costs, user-notification obligations (72 hours under GDPR), regulatory fines (up to 4% of global revenue for GDPR), rebuilding trust, and the operational disruption of an incident response. Prevention is cheaper by orders of magnitude.

How do I avoid these mistakes when building with Supabase?

Three non-negotiable habits: (1) Configure Row Level Security (RLS) policies 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: ALTER TABLE name ENABLE ROW LEVEL SECURITY; on every table..