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Schema-driven Row-Level Security test matrix generator and cross-tenant fuzzer for PostgreSQL and Supabase.

Project description

rlsgrid

Catch cross-tenant Row-Level Security leaks in Postgres and Supabase before your users do.

CI PyPI License: MIT Python

rlsgrid plan and fuzz output


What it does

Point it at your database. rlsgrid reads the live schema and:

  1. Maps every role × table × operation and labels it allow / deny / conditional / unrestricted.
  2. Fuzzes for real cross-tenant leaks — it seeds synthetic tenants and actively tries to read, insert, update, and delete one tenant's rows from another tenant's session.
  3. Emits a pgTAP suite you can run in CI.

Why

Postgres RLS is powerful and easy to get subtly wrong: a missing WITH CHECK, a FOR ALL where you meant FOR SELECT, a forgotten ENABLE ROW LEVEL SECURITY, a service_role bypass leaking client-side. Your application unit tests will not catch any of these — they test your code, not the policies. rlsgrid tests the policies, against a real database.

Use it

pip install rlsgrid

export DATABASE_URL=postgresql://user:pw@host/db   # use staging, never prod

rlsgrid init --from-db      # read the schema, write an annotated config
rlsgrid check --tenants 5   # seed → fuzz → teardown. exit 1 on any leak.

check is the whole loop: it leaves nothing behind and returns non-zero on a breach, so it drops straight into CI. A leak looks like:

✗ 1 cross-tenant breach detected
  LEAK role=authenticated actor_tenant=a1b2 → target_tenant=c3d4
       on public.documents UPDATE: target-owned row visible across tenants

In CI (GitHub Action)

- uses: matte97p/rlsgrid@v1
  with:
    command: check
    database-url: ${{ secrets.STAGING_DB_URL }}

Lower-level commands

rlsgrid introspect          # tables, RLS state, policies
rlsgrid plan                # the full matrix
rlsgrid gen pgtap --out tests/rls/generated.sql   # emit a pgTAP suite
rlsgrid fuzz --tenants 5    # fuzz only (auto-cleans up)
rlsgrid seed --dry-run      # show the seed plan without writing

Config for your stack — Supabase, Prisma, Drizzle, SQLAlchemy, Rails, function-based access checks — is in docs/RECIPES.md.

How it classifies a cell

  • allow — a permissive policy applies and gates nothing.
  • deny — RLS is on and no policy matches the role/op.
  • conditional — a policy applies but a USING / WITH CHECK expression gates which rows. This is where the fuzz earns its keep.
  • unrestricted — RLS is off, or the role has BYPASSRLS. Surfaced explicitly so you notice when you did not mean it.

Two enforcement models

  • RLS at the database (the Supabase default): the fuzz finds leaks directly. Set tenancy.mode = "jwt".
  • Access enforced by a SQL function (e.g. check_user_has_access_to_store(user_id, store_id)): set tenancy.mode = "function" and rlsgrid calls the helper with cross-tenant arguments, asserting it returns false.

How it compares

hand-written pgTAP static linters rlsgrid
New table lands without a test silent maybe shows up in plan
Cross-tenant write leaks only if you wrote that test no probed automatically
Function-based access no no first-class
Setup per-test low one config

It composes with supabase-test-helpers: keep your bespoke business-rule pgTAP, let rlsgrid watch the floor.

Safety

seed, fuzz, and check write to the database, so they refuse any URL matching [safety].forbid_url_patterns (default ["prod", "production"]). Point DATABASE_URL at staging or a disposable database.

Status

Alpha, but exercised end to end in CI against a rich multi-tenant schema and run through pg_prove. The config shape may still shift before 1.0. Issues and PRs welcome — see CONTRIBUTING.

Built by Matteo Perino while shipping GeoSuite, a multi-tenant Supabase app.

License

MIT — see LICENSE.

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