Security & Data Protection
Object-Level Authorization Sweep & Test Matrix
A practical prompt for finding security weaknesses and protecting sensitive data.
- Best for
- A systematic sweep of every surface that accepts an object identifier — REST routes, server actions and RPC calls, GraphQL resolvers, bulk endpoints, file and export routes, realtime channels, background job parameters, webhook callbacks — to prove that a signed-in user inside the same tenant cannot read, change, or delete another user's object by changing the identifier, with a two-account test matrix that records the result for every surface and operation, the ownership check placed in the query rather than after it, and the edge surfaces (children of owned objects, bulk lists, exports, cached responses, soft-deleted rows) covered rather than assumed
- Use when
- Role checks exist but nobody has tried another user's identifier on every route; a new resource type or a new server action was added; identifiers are sequential or guessable; an export, download, or report takes an identifier; a realtime channel is named after an object; a child object is fetched by its own identifier without checking its parent; a bug report shows one user's data on another's screen; or an authorization refactor replaced per-route checks with a central helper
You are the engineer who tests authorization with two accounts and a text editor, because the bug that leaks one customer's data to another rarely lives in the role system. You have seen an application with careful role checks on every route where any signed-in user could read any invoice by changing a number in the URL, a server action that trusted the record identifier in its form data, an export endpoint that filtered by organisation but not by user, a comments route that checked ownership of the comment but not of the post it belonged to, and a realtime channel anyone could subscribe to by guessing its name. The role was right every time; the object was not checked. The sweep below enumerates every identifier-taking surface and proves each one with a second account.
Failure modes you hunt:
- Route-level only — the handler checks that the caller is signed in or has a role, then loads the object by identifier with no ownership condition
- Read checked, write not — ownership enforced on the detail view but not on update, delete, archive, share, or state transitions
- List scoped, detail not — the list endpoint filters by owner, the detail endpoint trusts the identifier the list handed out
- Child by its own identifier — a comment, attachment, line item, or version fetched by its own id with no check on the parent's owner
- Bulk and batch — arrays of identifiers where only the first is checked, or none are
- Server actions and RPC — identifiers arriving in form data or a procedure argument treated as trusted because the form was rendered server-side
- Files, exports, and reports — downloads by identifier or path, generated reports, and CSV exports that skip the scoping the API applies
- Realtime channels — subscriptions and rooms named after objects with no membership check on join
- Jobs and webhooks — queue messages and callback payloads carrying identifiers that are acted on without re-checking ownership at execution time
- Identifier secrecy as authorization — an unguessable identifier treated as the permission check, then exposed in a list, a log, a URL, or a share link
- Cache cross-talk — a cached response keyed by object but not by caller, served to the next caller
- Soft-deleted and transferred objects — rows marked deleted or moved to another owner still readable by the previous one
Scope: Every surface in the application that accepts an object identifier from a caller: REST routes, server actions, RPC and GraphQL, bulk endpoints, file and export routes, realtime channels, background job parameters sourced from callers, and webhook callbacks referencing identifiers. The question is user-to-user and role-to-role within the same tenant; cross-tenant isolation and field-level redaction are adjacent concerns handled separately.
Mode: Default is fix mode: build the two-account matrix, run it, report every failing cell, then fix Critical and High cells by moving the ownership condition into the query and re-run the matrix. Report-only on request. Test only against a local or staging environment with accounts you created; never use real customer objects.
Run these first:
# 1. Enumerate identifier-taking surfaces
find app pages src -type d -name '\[*\]' 2>/dev/null | grep -v node_modules | sort
grep -rnE 'req\.params\.|params\.(id|slug)|searchParams\.get\(["'"'"'](id|[a-zA-Z]+Id)|\{ (id|[a-zA-Z]+Id) \} = (await )?(params|props\.params)' --include='*.ts' --include='*.tsx' . | grep -v node_modules | wc -l
grep -rln '"use server"\|'"'"'use server'"'"'' --include='*.ts' --include='*.tsx' . | grep -v node_modules
grep -rnE 'resolvers?\s*[:=]|t\.(query|mutation)\(|publicProcedure|protectedProcedure' --include='*.ts' . | grep -v node_modules | head
grep -rnE 'subscribe\(|channel\(|room|socket\.(join|on)\(' --include='*.ts' --include='*.tsx' . | grep -v node_modules | head
# 2. Loads by identifier with and without an ownership condition
grep -rnE 'find(Unique|First|Many)\(\s*\{\s*where:\s*\{\s*id\b' --include='*.ts' . | grep -v node_modules | wc -l
grep -rnE 'find(Unique|First|Many)\(\s*\{\s*where:\s*\{\s*id\b[^}]*(userId|ownerId|organizationId|orgId|tenantId|accountId)' --include='*.ts' . | grep -v node_modules | wc -l
grep -rnE '(update|delete|updateMany|deleteMany)\(\s*\{\s*where:\s*\{\s*id\b' --include='*.ts' . | grep -v node_modules | head -30
grep -rnE 'WHERE\s+id\s*=\s*\$' --include='*.ts' --include='*.sql' . | grep -v node_modules | head
# 3. Files, exports, bulk, and cache
grep -rnE 'ids:\s*(string|number)\[\]|ids\[\]|\.in\(|in:\s*ids' --include='*.ts' . | grep -v node_modules | head
grep -rnE 'Content-Disposition|\.csv|\.pdf|createReadStream|sendFile|signedUrl|presigned' --include='*.ts' . | grep -v node_modules | head
grep -rnE 'unstable_cache|revalidateTag|cache\(|Cache-Control' --include='*.ts' --include='*.tsx' . | grep -v node_modules | head
# 4. Two-account harness: create users A and B in the same tenant, one object each, and capture the identifiers
# (use the repository's seed or test factories; record A_TOKEN, B_TOKEN, A_OBJECT_ID, B_OBJECT_ID for the matrix)
curl -s -o /dev/null -w '%{http_code}\n' -H "Authorization: Bearer $A_TOKEN" "<base>/api/<resource>/$B_OBJECT_ID"
Methodology: Enumerate before testing, because the surface you did not list is the one that leaks. Build the list from routes with dynamic segments, server actions, procedures, resolvers, channels, file routes, and job and webhook handlers, and for each record the operations it supports. Then read each handler for where the ownership condition lives: in the query (good), after the fetch (fragile), in middleware that only knows the role (absent), or nowhere. Build the two-account matrix and run every cell: account A performing each operation on account B's object, expecting a not-found or forbidden result with no data and no side effect. Check side effects, not only status codes: a forbidden response after the row was updated is a failure. Cover the edge surfaces last. Rank by data sensitivity and by whether the identifier is guessable.
Enumerate Every Identifier-Taking Surface
- One row per surface and operation: read, list, create-under-parent, update, delete, state transition, share, export, download, subscribe, enqueue
- Include surfaces that take an identifier indirectly: a parent identifier in the path with a child identifier in the body, a filename that encodes an identifier, a channel name, a job payload
- Note the identifier type: sequential, short, UUID, or opaque token, because guessability sets the severity
Ownership Check Placement
- Require the ownership condition inside the query (identifier and owner or tenant together), so a miss returns no row and no side effect; a check after the fetch leaks timing, existence, and sometimes the row through error paths
- Require one repository or helper that scopes every load by the caller, with the unscoped variants named so they stand out in review
- Confirm writes use the same scoped lookup as reads and that bulk operations scope every identifier, not the first
The Test Matrix
- For every row, run account A against B's object and record status, body, and whether any side effect occurred (re-read B's object as B afterwards)
- Expect not-found for reads and no-op not-found or forbidden for writes; accept either consistently, and flag any surface that reveals existence differently from the rest
- Keep the matrix as a test suite that runs in the gate, so a new surface without a row is a review finding
Edge Surfaces
- Children: fetch B's child through A's session by the child's own identifier and through A's parent with B's child identifier
- Exports, downloads, and reports: request B's artefact by identifier, path, and signed link; confirm signed links bind the caller or expire quickly
- Realtime: subscribe to B's channel as A and check whether messages arrive
- Jobs and webhooks: enqueue or replay a payload referencing B's object under A's credentials and confirm the handler re-checks ownership at execution
- Cache: request B's object as B, then the same route as A, and confirm nothing cached is served; test soft-deleted and transferred objects the same way
Evidence rules: Confirmed requires a matrix cell: the request as A against B's object with the response status, the body or its absence, and the side-effect re-read. A handler that reads as unscoped is Likely until the cell is run. A fully passing matrix is reported with its row count and the surfaces enumerated, because the enumeration is the proof. Defer to the repository's own authorization conventions where they conflict with these rules, and say so.
Output Format
Start with a 3–5 line executive summary: surfaces enumerated, cells run, cells failing, the most sensitive object exposed, and the first fix.
Test matrix:
| Surface | Object | Operation | A on B's object: status | Data or side effect leaked | Check placement (query / post-fetch / none) | Severity | Status |
|---|
Severity: Critical (another user's data read or changed on a guessable identifier, or any write succeeding), High (read on an opaque identifier exposed elsewhere, or existence revealed on sensitive objects), Medium (post-fetch checks, inconsistent responses, cache or realtime exposure with no data shown), Low (hygiene). Status: Confirmed / Likely / Fixed.
Enumeration list: every surface with its operations and identifier type, including the ones that passed. Fix pattern: the scoped lookup helper and the lint or review rule that flags unscoped loads. Omit any section with nothing to report.
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