New test walks app.routes, classifies each APIRoute as admin/viewer/open
by identity-matching require_admin / require_viewer closures inside the
route's dependency tree, then asserts:
- admin routes return 403 to a viewer JWT
- viewer routes return neither 401 nor 403 to a viewer JWT
SSE routes skipped (separate scope under F6). Role hints deliberately
NOT encoded in the OpenAPI spec — classification stays server-side so
/openapi.json can't be used to enumerate admin routes.
Resolves THREAT_MODEL F2/I + F5/E; paired with the existing
test_schemathesis.py::test_auth_enforcement (401-half coverage).
Harden the attacker-controlled artifact download path (F7) with explicit
response headers instead of relying on Starlette's defaults (which only
emit attachment for non-ASCII filenames and never set nosniff). Also
resolves the THREAT_MODEL F7 path-traversal row (containment check was
already in _resolve_artifact_path) and the fleet-deploy detail=str(e)
audit (all four sites are admin-gated deliberate validator UX or
structured worker-response fields).
Registers a generic @app.exception_handler(Exception) that catches anything
uncaught in route handlers / dependencies. Prod response is opaque:
{detail: 'Internal Server Error', error_id: <uuid4 hex>}. Dev mode
(DECNET_DEVELOPER=True) adds exception_type and traceback fields so
failures are debuggable without tailing server logs.
The error_id is logged alongside the full traceback server-side, letting
operators correlate a user's 500 report with the exact exception via
`grep <error_id> /var/log/decnet.log`.
FastAPI's own HTTPException routing and the existing
RequestValidationError / ValidationError / RateLimitExceeded handlers
still take precedence — this handler only fires on genuinely-uncaught
exceptions.
Flips threat model F1/I 'traceback / stack trace leakage' from ? to M
and logs a follow-up checklist entry for 4 detail=str(e) sites in the
fleet deploy router (admin-gated, different threat class, separate
audit).
Adds slowapi two-bucket rate limit on /auth/login — 10 attempts per
5 minutes per-IP AND per-username, tripping either → 429. Per-IP
catches botnets hitting one account; per-username catches distributed
credential stuffing against one account. In-memory storage: dashboard
API is single-process, Redis is disproportionate for v1.
X-Forwarded-For is deliberately NOT trusted (spoofable); reverse-proxy
deployments get one shared bucket per proxy IP. Logged in the threat
model as accepted risk DA-08, to be revisited when a verified-proxy
config lands.
Also scaffolds development/THREAT_MODEL.md with STRIDE-per-element
methodology, system-context DFD, and Dashboard↔API as the first fully
worked component (7 sub-flows, ~50 threat entries). F1 Authn ships
with 3 threats mitigated: rate limit (new), uniform 401 (verified
already in place), bcrypt length clamp (verified already in place via
Pydantic max_length=72).
