Commit Graph

3 Commits

Author SHA1 Message Date
df84981954 feat(api): pin response_model on dict-returning mutation routes
Every mutation route that returned an untyped dict now declares
response_model at the decorator. MessageResponse covers the eight
{"message": ...} envelopes (change-password, mutate-decky, mutate-
interval, update-deployment-limit, update-global-mutation-interval,
delete-user, update-user-role, reset-user-password). Purpose-built
models cover the richer shapes (DeployResponse for /deckies/deploy,
PurgeResponse for /config/reinit, ReapReportResponse for /reap-orphans,
UserResponse for /config/users). 204-No-Content and Response/
ORJSONResponse routes stay as-is.

The wire shape for clients is unchanged — the envelopes already only
shipped a message field. What changes is that a handler which
accidentally returns a richer dict (e.g. a full user row including
password_hash) would be silently stripped to the declared fields at
serialization time.

Also flips F4/D "expensive LIKE" to accepted (new DA-09) — the /logs
and /attackers search routes LIKE-scan unbounded columns, but both are
admin-gated, limit-capped, and operator rate-limit scope per DA-04.
FTS5 stays a performance TODO, not a security blocker.
2026-04-24 14:27:58 -04:00
d43303251d feat(profiler): track SMTP victim domains per attacker
New SmtpTarget table records each (attacker, domain) pair observed via
the SMTP honeypots. Only the domain is stored — local-parts are dropped
at ingestion, so this table holds no user-identifying data beyond the
target organisation's identity.

The profiler worker extracts domains from rcpt_to / rcpt_denied /
message_accepted events, normalizes them (lowercase, strip local-part,
drop blocked TLDs), and upserts one row per pair with a running count +
first_seen / last_seen.

Three repo methods shipped:
  * increment_smtp_target(attacker, domain) — upsert + bump
  * list_smtp_targets(attacker) — per-attacker view
  * smtp_target_seen(domain) — cross-attacker aggregate, shaped as the
    federation-gossip RPC that V2 will expose.

The gossip-query shape is load-bearing: each operator can answer
"have any of your attackers targeted corp1.com?" without leaking
which attackers or when — the aggregate returns a bool + total count
+ first/last seen, nothing else.
2026-04-22 22:23:27 -04:00
d47a84c90b refactor(models): split models.py into topical submodules
decnet/web/db/models.py was approaching 1000 lines across User/Log/
Attacker/Swarm/Topology/Workers/Updater/Health domains. Split into a
package with one module per domain; __init__.py re-exports every symbol
so all 52 call sites keep importing from decnet.web.db.models
unchanged.
2026-04-22 21:55:41 -04:00