curation
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. This page ranks options with explicit criteria and links to profiles and comparisons so you can make a confident choice.
Ranking criteria for Supabase security audit options (ranked) (explicit)
- Coverage of tables + storage + RPC (not just one surface)
- Actionability of output (fixes + verification, not only findings)
- Repeatability across environments (dev/staging/prod)
- Time-to-signal (how quickly you get a meaningful exposure report)
- Ease of adoption for non-security builders
- Ability to detect drift after schema changes
Top picks in Supabase security audit options (ranked) (ranked)
| Rank | Option | Pricing | Type | Profile |
|---|---|---|---|---|
| 1 | Mockly | $20/scan (Snapshot) or $29/mo (Subscription, 2 scans/mo on 1 project) | security-scanner | /profiles/mockly |
| 2 | SQL Audit Checklist | Free (time to run and interpret results). | checklist | /profiles/sql-audit-checklist |
| 3 | Supabase Dashboard Review | Varies (engineering time). | manual-workflow | /profiles/supabase-dashboard-review |
Pros/Cons by option
Mockly
Pros
- Fast feedback loop for indie hackers and small teams
- Outputs fixes and verification steps (not just findings)
- Backend-only posture by default (reduces client-side risk)
- Clear labeling when scan coverage is limited
Cons
- Deep checks may require additional access (coverage can be limited)
- Not a full pentest; focuses on common Supabase exposure paths
- You still need to apply and verify fixes in your own project
SQL Audit Checklist
Pros
- Highly repeatable and automatable
- Makes drift between environments easier to spot
- Great foundation for CI checks after migrations
- Doesn’t require any third-party tool
Cons
- Requires SQL fluency to interpret correctly
- Doesn’t automatically propose application-layer fixes
- You must keep the checklist updated as your schema evolves
Supabase Dashboard Review
Pros
- No extra tooling required beyond Supabase
- High control and deep visibility when you know what to look for
- Great for learning how your project is actually configured
- Pairs well with a checklist-based process
Cons
- Easy to miss edge cases without a structured checklist
- Time-consuming across many tables and functions
- Hard to standardize across teams without documentation
Use-case recommendations
- If you want fast clarity before a launch: start with Mockly, then verify fixes in Dashboard.
- If you’re building a repeatable release process: use the SQL Audit Checklist in CI and on migrations.
- If you need deep understanding of current state: do a Dashboard Review with the checklist queries.
- If you’re short on time: prioritize tables with user data, then storage buckets, then RPC.
How to interpret Supabase security audit options (ranked) criteria (what it really means)
- Coverage matters because Supabase exposure often lives across multiple surfaces (tables + Storage + RPC).
- Actionability matters because findings without fixes tend to stall remediation.
- Repeatability matters because drift after migrations is one of the most common causes of reintroduced exposure.
- Time-to-signal matters because the best workflow is the one you actually run before launch and after changes.
How to pick (quick decision guide)
- Pick the fastest option if you’re close to launch and need immediate signal.
- Pick the most repeatable option if you ship migrations frequently.
- Pick the deepest option if you’re debugging drift or a suspected incident.
- After choosing, apply at least one template and verify the boundary is real.
How to verify your chosen option is working (not just producing output)
- Run the option and capture one concrete risky finding (table/bucket/function).
- Reproduce the risk via direct access using client credentials (so you can prove it).
- Apply the recommended fix pattern (template or conversion) and repeat the same access test.
- Confirm the test now fails and the app still works via backend endpoints.
- Re-run the option and confirm the finding disappears (or changes to a safe state).
A one-week plan using Supabase security audit options (ranked)
If you want a realistic adoption path, don’t try to fix everything at once. Aim for one verified win per week.
- Day 1: Run the top-ranked option and pick the highest-risk surface it flags.
- Day 2: Apply one template/conversion for that surface and run verification (direct access fails).
- Day 3: Patch any missed app call paths and document the new access model.
- Day 4: Re-run the option and confirm the finding is gone; add a drift guard after migrations.
- Day 5: Repeat for the next surface (tables → Storage → RPC).
When not to pick the top-ranked option
- If you can’t run it repeatedly (time/ownership constraints), a “best” tool can become shelfware.
- If you can’t verify fixes, you’ll accumulate untrusted changes and fragile policies.
- If you need deep learning and visibility, a fast scanner alone may not be enough — pair it with a checklist or manual review.
Related next steps
- Read the top tool profiles for deeper context.
- Use comparisons to decide between the top two options.
- Apply templates to fix the issues you find.
What to do if you disagree with the ranking (Supabase security audit options (ranked))
Rankings are criteria-driven, and your constraints may differ. If you disagree, don’t argue with the order — update the criteria and re-run the workflow:
- If you value speed over depth, weight time-to-signal higher and pick the option you’ll actually run.
- If you ship migrations frequently, weight repeatability higher and favor the approach you can keep doing without heroics.
- If you’re investigating drift or an incident, weight coverage and verification higher and add deeper checks.
The best choice is the one that leads to verified fixes and becomes part of your routine.
FAQ
Can I combine these options?
Yes. Many teams scan for fast signal, then verify and harden with a repeatable SQL checklist. Combining often yields the best results.
Why does the ranked list include a checklist option?
Because repeatability is a security feature. A checklist is often the easiest way to catch regressions after schema changes.
What should I do after choosing an option?
Run it on your project, apply one high-impact fix (tables/storage/RPC), then verify direct client access fails and re-scan.
Next step
If you want fast clarity on your own exposure before choosing an approach, run a Mockly scan and start with the highest severity issues.