Supabase RLS Policies Too Permissive
RLS enabled with a policy like USING (true) provides no protection — it allows every authenticated or even unauthenticated user to access every row. Security vulnerabilities in vibe-coded apps are not theoretical — automated scanners probe every new deployment within hours of launch. This issue is among the most commonly exploited in AI-generated codebases.
What This Issue Means for Your App
RLS enabled with a policy like USING (true) provides no protection — it allows every authenticated or even unauthenticated user to access every row.
AI coding tools like Lovable, Cursor, Bolt, and v0 optimize for functionality and speed. Security configuration is a separate concern that requires explicit, deliberate action — and most vibe coders never take that action until after an incident.
This vulnerability class is documented in the OWASP Top 10 and affects apps across all technology stacks. For vibe-coded apps specifically, the combination of rapid iteration and limited security review creates a higher-than-average exposure rate. The good news: this type of issue is entirely preventable with the right configuration. The specific manifestation of this issue in your app depends on how your codebase is structured, but the detection and remediation steps below apply to the overwhelming majority of vibe-coded applications.
The Real-World Consequences
“Users can enumerate other user IDs, read private profiles, or mass-update data they do not own — defeating the purpose of enabling RLS.”
In our analysis of vibe-coded apps, this security issue appears in the majority of first-time deployments. The issue does not remain theoretical once your app has real users — whether it is a security vulnerability that gets exploited, an SEO gap that limits discovery, or a performance problem that increases churn, the business impact is measurable and preventable.
The urgency of addressing this issue scales with your user count. A pre-launch app can fix issues without any user impact. A live app needs to balance fix speed with deployment risk — which is why having automated monitoring (like Pantra's daily scans) to catch these issues before launch is far preferable to discovering them after.
Why Vibe Coders Hit This Issue
AI-generated RLS policies often start from a "make it work first" approach: USING (true) is the minimal policy that unblocks development but is not production-safe.
This is not a reflection of developer skill — it is a reflection of what AI coding tools optimize for. Lovable, Cursor, Bolt.new, v0, and Replit are all excellent at generating functional, working code. They are not designed to output security-hardened, SEO-optimized, production-ready applications by default. That gap is the reason tools like Pantra exist.
The solution is not to slow down your vibe coding workflow — it is to add systematic, automated checking that runs faster than you can build. A Pantra security scan takes under 60 seconds and catches issues that would otherwise take hours to find manually.
How to Detect This Issue
Before fixing, confirm whether this issue exists in your app. Use these detection methods to verify the current state:
- 1Inspect each RLS policy in Supabase → Authentication → Policies
- 2Look for policies with USING (true) — these are completely open
- 3Test: can user A access user B's records after logging in?
The fastest detection method is running a Pantra audit on your URL — the scan automatically checks for this and hundreds of other issues in under 60 seconds, providing severity-rated findings with specific fix prompts for your stack.
Step-by-Step Fix
Once confirmed, address this issue in the following order. Each step builds on the previous one — completing all steps ensures complete remediation rather than partial patching.
- 1Replace USING (true) with USING (auth.uid() = user_id)
- 2For shared resources, add explicit sharing logic to the policy
- 3Test each policy with two different real user accounts
- 4Add a Pantra scheduled scan to catch RLS regressions
After completing these steps, re-run your Pantra audit to verify the finding has been resolved. The daily monitoring feature will then alert you if the issue ever reappears due to a future code change.
Copy-Paste Fix Prompt
Copy this prompt directly into Lovable, Cursor, Claude, or ChatGPT to get an immediate, stack-specific fix for this issue. The prompt is designed to be precise enough to produce actionable code without requiring additional context.
Review all my Supabase RLS policies and replace any overly permissive USING (true) conditions with proper user ownership checks. Show me the corrected SQL for each policy.
Pro tip: If you have Pantra's daily monitoring enabled, each finding in your scan report comes with a pre-generated fix prompt tailored to your detected tech stack — no copy-pasting required.
Frequently Asked Questions
What about public content like blog posts?
Public content can use USING (true) for SELECT only. Never use USING (true) for INSERT, UPDATE, or DELETE.
How does Pantra detect this issue automatically?
Pantra's audit engine runs over 177 checks across Security, SEO, GEO, and Performance categories. This issue is detected by analyzing your app's HTTP responses, JavaScript bundle content, HTML structure, and configuration signals — all within a single scan that takes under 60 seconds.
What stack-specific fix prompts does Pantra provide?
Pantra detects your tech stack (Lovable, Cursor, Next.js, Bolt, etc.) and generates fix prompts tailored to that stack. The prompt above is a general version — Pantra's stack-specific prompts include exact file paths, component names, and framework-specific syntax for your project.
Related Issues
These issues frequently appear together with supabase rls policies too permissive. Addressing them as a group is more efficient than fixing each in isolation.
Let Pantra Find This Automatically
Scan your vibe-coded app for this issue and 176 others — security vulnerabilities, SEO gaps, GEO optimization, and performance problems — in under 60 seconds. Every finding includes a stack-specific fix prompt ready to paste into Lovable, Cursor, or Bolt.