Mockly

curation

Supabase Security Curation

Curation pages help you choose. They rank options with explicit criteria, summarize tradeoffs, and point you to profiles, comparisons, and templates so you can act.

How Supabase security curation pages are ranked

  • Clear criteria (explicit ranking inputs)
  • Pros/cons grounded in real tradeoffs (time, repeatability, coverage)
  • A summary table for quick scanning
  • Recommendations by use case

Browse Supabase security curated collections

CollectionSummaryURL
Supabase RPC security options (ranked)A curated, ranked set of practical ways to audit and lock down RPC functions (EXECUTE grants, unsafe parameter handling) so that only backend code can call privileged procedures./curation/supabase-rpc-security-options
Supabase security audit options (ranked)A curated, ranked set of practical ways to find and fix common Supabase exposure risks, from fast scanners to repeatable SQL checklists./curation/supabase-security-audit-options
Supabase Storage security options (ranked)A curated, ranked set of practical ways to prevent Storage leaks (public buckets, listable objects, guessable filenames) and ship signed-URL downloads with verification./curation/supabase-storage-security-options

How to use curation pages (practical)

Curation pages are designed to answer: “What should I do next?”

A recommended way to use them:

  1. Pick the collection that matches your surface (tables, Storage, RPC) or your constraint (speed vs depth).
  2. Read the ranking criteria first and confirm it matches what you care about.
  3. Pick one top option and run it this week.
  4. Apply one template/conversion and verify direct access is blocked.

What you get on a curation detail page

  • A ranked list with explicit criteria (so you can disagree intelligently).
  • A comparison summary table for quick scanning.
  • Pros/cons per option (tradeoffs, not marketing).
  • Use-case recommendations so you can pick based on constraints.
  • Links to profiles and comparisons so you can go deeper before committing.

How to choose between curated options

  1. If you want speed: pick the option with the shortest time-to-signal.
  2. If you want repeatability: pick the option that’s easiest to run after every migration.
  3. If you need depth: pick the option that gives visibility into grants, policies, Storage and RPC.

What makes a curated recommendation trustworthy

  • It names the failure modes it misses (blind spots).
  • It includes verification steps that prove fixes are real.
  • It’s repeatable: you can run it after every migration and get comparable results.
  • It’s grounded in operational reality (time, team skills, and drift).

When curation is the wrong tool

If you already know what’s exposed (for example: a public table or a public bucket), don’t overthink it.

  • Go straight to /templates to apply the fix and run verification.
  • Use /conversions if the fix is an end-to-end access-model change (unsafe → backend-only).
  • Return to curation only when you’re deciding a repeatable workflow or tool for ongoing audits.

Curation helps with decisions. Templates and conversions help with shipping fixes.

Cross-linking strategy

  • Curation pages link to tool profiles (so readers can deep-dive).
  • They link to comparisons between top choices when meaningful.
  • They link to templates and glossary terms for implementation.

How to build your own shortlist (if you don’t trust rankings)

If you want to choose your own workflow, build a shortlist using constraints instead of features.

A simple approach:

  • Pick the surface you care about (tables, Storage, RPC).
  • Pick the constraint that dominates (speed, depth, repeatability after migrations).
  • Pick one option and run it on one concrete resource this week.
  • Require one verification step that proves direct access is blocked after the fix.

If you can’t verify the boundary, treat the workflow as unproven and don’t rely on it for security claims.

Example decision scenarios (how to pick quickly)

Scenario: you’re launching soon Pick the option that gives fast signal and clear next steps, then apply one template and verify direct access is blocked.

Scenario: you ship migrations weekly Pick the option you can run after every migration without heroics. Repeatability prevents drift from becoming incidents.

Scenario: you suspect a leak or drift Pick the deepest visibility option and pair it with direct access tests so you can prove what changed and why.

Common mistakes when using curation

  • Choosing based on features instead of workflow fit (can you run it repeatedly?).
  • Picking a “deep” option but never scheduling time to actually run it.
  • Applying fixes without direct access verification.
  • Treating one surface as solved while leaving Storage or RPC exposed.

How to validate a curated recommendation (so it’s not just reading)

A curated list is only useful if it changes what you do next. Use this validation loop for any recommendation:

  1. Pick one option and run it on one concrete surface (one table, one bucket, or one function).
  2. Capture one finding and reproduce it once via direct access (prove it’s real).
  3. Apply one template/conversion and repeat the same direct access test (it must now fail).
  4. Re-run the option and confirm the finding disappears or changes to a safe state.
  5. Add the verification step to your release process to prevent drift.

This turns curation into action and keeps you from collecting output without risk reduction.

How to choose the right collection (two questions)

If you have multiple collections, choose with two questions:

  • Which surface is your highest risk right now (tables, Storage, or RPC)?
  • Which constraint dominates (speed, depth, or repeatability after migrations)?

Then pick the collection that matches and commit to one verified fix. Curation is a tool for momentum, not perfection. If you can’t verify the boundary, don’t ship the change yet.

Next step

Pick one curation collection that matches your situation, then apply the top-ranked option and verify fixes end-to-end.

FAQ

Are the rankings objective?

They’re criteria-driven, but many security decisions involve tradeoffs. Use the ranking criteria to decide what matters for your team and project.

Why include pros/cons if they’re subjective?

Because tradeoffs are real. The goal is not “one best tool,” but the best option for a given constraint: time, depth, repeatability, or learning value.

How does this avoid duplicate content?

Each collection is meant to answer a different decision: speed vs depth vs repeatability, and which surface you’re prioritizing (tables, Storage, RPC). Use the criteria to pick what matches your constraint.

Next step

If you want a fast exposure report before you choose an approach, run a Mockly scan and follow the linked fixes for your findings.

Explore related pages