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.
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.
