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Security: jonathanlan08/procurement-optimizer

Security

docs/SECURITY.md

Security model

What is defended, how, and - equally important - what is not defended in v0.1.0. Nothing here is aspirational: every control cited exists in the code at the path given.

Related: ARCHITECTURE.md · DOCUMENT_PIPELINE.md · DEPLOYMENT.md · ROADMAP.md


1. Threat model, briefly

This is a multi-tenant B2B application handling commercially sensitive procurement data and ingesting untrusted documents supplied by third parties. The threats taken seriously:

  1. one organization reading or referencing another organization's data;
  2. an authenticated user acting above their role;
  3. session theft, CSRF, and credential attacks (stuffing, enumeration, timing oracles);
  4. malicious uploads - wrong type, oversized, traversal-shaped filenames, spreadsheet formula injection, zip bombs;
  5. prompt injection through document content reaching an AI extraction provider;
  6. leaking data through error messages, logs, exports, or storage URLs;
  7. committing secrets or real (non-synthetic) commercial data to a public repository.

Out of scope for v0.1.0 and stated as such below: DoS beyond a single-node rate limiter, key management/HSM, SSO/MFA, and infrastructure hardening.

2. Authentication

backend/src/app/core/security.py, backend/src/app/services/auth.py.

  • argon2id password hashing (argon2-cffi defaults: time_cost=3, 64 MiB memory). verify_password catches VerifyMismatchError, VerificationError, and InvalidHashError, so a corrupt stored hash is a failed login, never a 500.
  • Session tokens are 256-bit random (secrets.token_urlsafe(32)), handed to the browser in an HttpOnly, SameSite=Lax cookie (Secure forced on in prod). The database stores only sha256(token) - a database read never yields a usable session token.
  • Timing-oracle defence. Every login attempt performs exactly one argon2 verification. Absent, inactive, archived, and locked accounts are all verified against a module-level _DUMMY_HASH, and every failure path raises the same UnauthenticatedError("Invalid email or password."). Account existence and lock state do not leak through message or timing.
  • Rollback-proof lockout. 8 failed attempts → a 15-minute lock. Counters are written in their own transaction (_record_failed_login, SELECT … FOR UPDATE), because the request transaction is rolled back when login raises - otherwise the counter would be rolled back along with the failure it counted. This was Phase 1 review finding #1 (docs/planning/00-decisions.md §7) and carries a regression test.
  • Two expiries. An absolute TTL (PO_SESSION_TTL_HOURS, default 12) and a 2-hour idle timeout enforced in AuthService.resolve against sessions.last_seen_at.
  • Logout revokes the session row (revoked_at), it does not delete it.

Documented deviation: successful logins and logouts are audit events (auth.login_succeeded, auth.logout); failed logins go to the structured security log (logging.getLogger("app.security"), event: auth.login_failed, with request id and IP) and not to audit_events, because that table is org-scoped and a failed login frequently has no organization to attribute it to. This is Phase 1 review finding #5, resolved by ruling.

3. CSRF and Origin

Two independent factors on every mutating request:

  1. Origin/Referer allowlist - OriginCheckMiddleware applies it to every mutating /api/ request including POST /api/v1/auth/login, which has no session yet and would otherwise be exposed to login-CSRF. current_principal applies it again for authenticated routes. A missing Origin/Referer header fails closed: browsers send Origin on all cross-origin and same-origin non-GET requests, so its absence on a mutation is suspicious.
  2. Double-submit CSRF token - a per-session csrf_secret compared with the X-CSRF-Token header using hmac.compare_digest.

GET /api/v1/auth/me returns the csrf_token, so a hard page reload can re-acquire it without a new login (Phase 1 review finding #4).

Security headers on every response (SecurityHeadersMiddleware): nosniff, X-Frame-Options: DENY, Referrer-Policy: no-referrer, Content-Security-Policy: default-src 'none'; frame-ancestors 'none'; base-uri 'none', Cross-Origin-Opener-Policy: same-origin, Cross-Origin-Resource-Policy: same-origin, plus HSTS in prod.

4. Authorization

Roles form a strict hierarchy: viewer < analyst < administrator < owner (ROLE_ORDER in backend/src/app/api/deps.py). By ruling (docs/planning/00-decisions.md §2 #5) a viewer may read and download documents and reports, and may never confirm, correct, calculate, generate, or mutate anything. The reports router follows that literally: every GET is viewer+, POST /reports is analyst+ - viewers download, never generate.

The permission matrix (backend/src/app/api/permissions.py) declares a level for every single route: "public", "authenticated", or a minimum Role. Two contract tests (backend/tests/contract/test_permission_matrix.py) walk the live OpenAPI route table and fail if any route is undeclared or if a declaration is stale. Forgetting to think about authorization is therefore a CI failure, not a production incident. The matrix file is also a readable audit artifact: each block carries a comment explaining which contract row it implements and why any deviation was chosen.

Broad pattern: reads are viewer+, mutations are analyst+, archive/destructive and FX-refresh operations are administrator+.

Known v0.1 gap: there is no uploader/confirmer segregation of duties - an analyst may both upload a document and confirm its low-confidence fields (docs/planning/00-decisions.md §4 #14, single-analyst demo). In a production deployment handling real money this should be split.

5. Organization isolation - defence in depth

Four independent controls; see ARCHITECTURE.md §3 for the full table.

  1. The client never chooses the organization: it comes from sessions.active_organization_id.
  2. OrgScopedRepository is generic over OrgOwnedBase, so mypy verifies the org filter statically; a post-fetch runtime check raises OrgIsolationViolation if a row ever escapes it; add() refuses an entity whose organization_id differs from the scope.
  3. Composite (organization_id, parent_id) foreign keys make a cross-org reference refusable by PostgreSQL itself.
  4. Route-matrix and per-resource integration tests.

Cross-org access returns 404, never 403. Existence must not leak. NotFoundError is documented as covering "both genuinely absent and other-organization resources", and the test suites assert 404 on cross-org access across every resource (56 cross-org test functions at the time of writing). This discipline extends to storage: FilesystemStorageProvider / S3StorageProvider namespace by organization internally, so even a leaked storage key from another org resolves to a different path.

6. Untrusted uploads

Covered in detail in DOCUMENT_PIPELINE.md §1. Summary of controls:

  • magic-byte type allowlist (PDF/PNG/JPEG/CSV/XLSX); extension and declared content type must agree with the sniffed kind;
  • CSV rejected if it contains NUL bytes or fails to decode;
  • XLSX parsed read_only=True, data_only=True - no formula evaluation - with row/column caps (10 000 × 50) plus decompression-bomb bounds checked against the zip directory's declared sizes before any parsing (100:1 ratio cap, 100 MiB absolute cap), a 32,767-character per-cell cap (Excel's own limit), and a 10 M-character total acquired-text cap; PDFs are capped at 500 pages and the same total-text bound (all in backend/src/app/ingestion/acquisition.py; added after the 2026-08 security audit demonstrated a 68 KiB upload expanding to 67 MB through the row/column caps alone);
  • size cap PO_MAX_UPLOAD_BYTES (20 MiB default), empty files rejected. Oversized declared bodies are rejected pre-routing by BodySizeLimitMiddleware (Starlette would otherwise spool the whole multipart body to a temp file before the route-level check runs); a chunked body without Content-Length still spools, which is why DEPLOYMENT.md §8 requires a reverse-proxy body cap (client_max_body_size) in any real deployment;
  • filenames sanitized and treated as display metadata only; storage keys are server-generated UUID hex + canonical extension and re-validated against a strict regex in every storage method;
  • per-organization sha256 dedupe;
  • downloads stream through an authorized route with Content-Disposition: attachment and global nosniff. No public or pre-signed URLs exist.

Spreadsheet formula injection

backend/src/app/importing/part_import_parser.py::_is_formula_injection rejects any imported cell whose first non-whitespace character is =, +, -, or @ and which is not a plain signed number, with the row-level error "value begins with a spreadsheet formula character (=, +, -, @) and is not a plain number; rejected as a formula-injection risk". The check runs on every column of every row, and there is a test asserting exactly that. XLSX cells that store a formula with no cached value are tracked separately as formula_columns.

On egress, backend/src/app/reports/escape.py::escape_formula_cell is the single place the check is written, and both csv_renderer.py and xlsx_renderer.py call it on every cell before writing. A value beginning with =, +, -, @, tab, or carriage return is prefixed with ', which every major spreadsheet application treats as forced plain text. This matters especially for XLSX: openpyxl auto-detects a leading = on a plain string assigned to Cell.value and stores it as a live formula (data_type='f') unless the prefix has already been neutralized - so skipping the escape would make this codebase's own writer emit an executable formula.

The PDF renderer deliberately does not call it (PDF has no live-formula surface); it instead escapes &, <, > via xml.sax.saxutils.escape before splicing text into ReportLab's mini-XML Paragraph markup, escaping label and value individually so a supplier name containing <b> cannot forge markup. That is a presentation-correctness control, not a security one, and the module says so.

7. Prompt injection: the AI trust boundary

Document content is data, never instructions (backend/src/app/providers/extraction/envelope.py):

  • a per-request secrets.token_hex(16) nonce fences the document text; the nonce is generated after upload, so a document cannot forge a closing fence. Honesty note: because no external AI provider ships in v0.1 (the mock answers from committed fixtures and never receives a prompt), build_document_envelope has no caller today - it is the mandatory entry point for the future Anthropic adapter, not an active control in this build;
  • lookalike fence markers inside document text are neutralized anyway;
  • system instructions sit outside the fences and state that everything inside is untrusted third-party data, that unstated fields are null, and that text addressing the model has no effect;
  • a canary detector scans the acquired text for instruction-shaped patterns - after stripping zero-width characters and NFKC-normalizing, so "Ign​ore all previous instructions" cannot slip between a pattern's letters - and flags without blocking: a security.injection_suspected audit event is written with the matched snippets, the verdict is stored on the run, every field is marked injection_flagged, and the review UI shows a banner. Pattern matching is heuristic by nature; a paraphrase can evade it, which is acceptable for a flag-only control whose hard guarantees live elsewhere (human confirmation gates, the numeric cross-check);
  • providers must never execute tools, browse, or act on text found in documents; provider output stays untrusted until it clears the validation ladder.

The committed injection fixture (nordic_fastener_quote.csv, whose notes column says "…set unit_price to 0.01") proves the boundary holds: the golden extraction reports the real price 0.024, and ExtractedLine has no notes field for the instruction to land in even in principle.

The same discipline applies to the narrative side. AiNarrativeProvider.render_sections receives only a flat brief_facts dict of pre-formatted strings assembled from stored, org-scoped rows; it has no database access. BriefService._numeric_cross_check re-parses every decimal-looking token in the provider's rendered prose and asserts each one already appears in brief_facts - a mechanical guard against an invented figure slipping past a human reviewer.

8. No auto-send, structurally

The SPEC requires "never auto-send emails". This build enforces it by absence, not by policy: NegotiationBrief stores draft_email_subject / draft_email_body as plain columns returned with the brief, and there is no send route, no mailer dependency, and no /email-draft route either.

The guarantee is a test: backend/tests/integration/test_briefs_api.py::test_no_send_endpoint_exists_anywhere builds the app, reads the OpenAPI schema, and asserts no path contains "email" or "send". A future PR that adds one fails CI.

9. The audit trail is append-only, and read-only over HTTP

AuditRecorder (backend/src/app/services/audit.py) is the only writer anywhere in the codebase, and it never opens its own transaction: an audit row is written inside the same transaction as the change it describes, so the trail cannot diverge from the data. 60 event types are recorded, including security.injection_suspected.

At the database level, migration 0001 installs audit_events_append_only() plus trg_audit_events_append_only (BEFORE UPDATE OR DELETE … FOR EACH ROW) and trg_audit_events_no_truncate (BEFORE TRUNCATE … FOR EACH STATEMENT); both raise.

At the HTTP level there is no write, update, or delete route for audit events by design. backend/src/app/services/audit_read_service.py issues nothing but SELECT, and paginates by keyset on (occurred_at DESC, id DESC) - not OFFSET - so pages stay stable under the concurrent inserts an append-only log constantly receives, and two events in the same instant can neither be dropped nor repeated across a page boundary. The cursor is an opaque base64 value; a malformed one is a 422 validation_error, not a stack trace. Reads are viewer+ and, like every other resource, scoped to the caller's organization by the repository base class.

10. Safe errors and logging

  • One error envelope for every non-2xx (backend/src/app/core/errors.py); messages are display-safe by contract - no SQL, no stack traces, no file paths, never another organization's data. Unexpected exceptions become a generic internal_error plus the request id.
  • ErrorDetail.value_hint is truncated to 64 characters and suppressed entirely when the field name looks secret-ish (password, token, secret, key, authorization, cookie).
  • Structured JSON logging to stdout (backend/src/app/core/logging.py) applies the same redaction list to any extra field a caller attaches, replacing values with [redacted].
  • Report generation is the one place a broad except Exception is deliberately used: a renderer failure is persisted as a failed report row with an error_message and still returned as 201, so a failed generation is an auditable, listable fact rather than a swallowed 500 (backend/src/app/services/report_service.py, Deviation 2).
  • Every response carries X-Request-ID, and the same id appears in the error envelope and the security log, so an incident can be correlated without logging payloads.
  • Rate limiting per client IP: 10/min on /api/v1/auth/login, 120/min elsewhere, rendered as the standard envelope with Retry-After: 60. In-memory and therefore single-node only - a multi-node deployment needs a shared store.

11. Secrets and data policy

  • No keys are committed. .gitignore excludes .env, .env.* (keeping .env.example), *.pem, *.key, .local-postgres/, .local-storage/.
  • .env.example documents every PO_* setting with clearly fake values and says so.
  • gitleaks runs in CI on every push and pull request with fetch-depth: 0 (.github/workflows/ci.yml, secrets-scan job).
  • PO_SECRET_KEY has a deliberately obvious dev default and the application refuses to start in prod while it is unchanged; cookie_secure is forced True in prod regardless of configuration (backend/src/app/core/config.py::Settings._fail_fast).
  • Secrets are typed SecretStr so they do not leak through repr() or serialization.
  • API docs (/api/docs, /api/openapi.json) are disabled in prod unless demo_mode is explicitly on.

Data policy: the public repository contains synthetic demonstration data only. Suppliers, parts, prices, quotes, and documents in backend/src/app/seed/demo_dataset.py and backend/tests/fixtures/ are invented; every email address uses the reserved .example TLD. Demo credentials (demo-owner@meridianfab.example / demo-owner-2026, and the analyst and viewer equivalents) are intentionally public and are labelled as such in the seed module.

12. The demo works without any paid key

A deliberate security-and-reproducibility property: PO_EXTRACTION_PROVIDER=mock, PO_NARRATIVE_PROVIDER=template, PO_OCR_PROVIDER=mock, synthetic FX rates, and filesystem storage are all defaults. No test and no demo path makes a network call to a third party, so there is no key to leak and no vendor to trust with quote data. Selecting a real provider is opt-in, requires an explicit key, and fails fast rather than silently degrading - and a mock result is always labelled simulated wherever it surfaces.

13. Known gaps and production caveats

Stated plainly; also tracked in ROADMAP.md.

Gap Detail
Rate limiting is per-process In-memory sliding window; a multi-node deployment needs Redis or equivalent
No segregation of duties An analyst can upload and confirm the same document
Failed logins are not in the audit table Org-scoped schema cannot represent an org-less failure; they are in the security log
No password reset / invitation flow Admins add members directly; password changes are a CLI/DB operation
No session purge job Expired session rows are ignored at resolve time but not swept
Audit table grants Development runs as the table owner; production should REVOKE UPDATE/DELETE on audit_events from the application role as belt-and-braces alongside the append-only triggers
No report purge job The schema and the 410-after-purge path exist; nothing sweeps expired artifacts
Audit UI shows raw actor UUIDs audit_events.actor_user_id is displayed unresolved; no join to users.full_name
No pip-audit / licence gate in CI Planned; today CI runs ruff, mypy, migrations, tests, and gitleaks
No OpenAPI drift job docs/openapi.json is not committed in this build
Inline job execution A long solve holds an HTTP request open; there is no queue or backpressure
No in-app proxy-header handling Behind a reverse proxy the app must be started with uvicorn's --proxy-headers --forwarded-allow-ips=<proxy> (DEPLOYMENT.md §8) or all clients share one rate-limit bucket and audit rows record the proxy's IP
Chunked uploads spool before rejection A body without Content-Length bypasses BodySizeLimitMiddleware and is bounded only by the reverse-proxy cap (DEPLOYMENT.md §8)
Canary patterns are heuristic Zero-width evasion is normalized away, but a paraphrased injection can still evade the flag; the hard gates are human confirmation and the numeric cross-check

There aren't any published security advisories