Antispam plugin (M7 phase C1): classify, file, and stay out of the way

Second-pass spam filtering per SPEC Appendix C. The engine is Rspamd in its own
container; this plugin is glue and policy, never a spam engine of its own.

Classification (§C.4) hooks message.new, acts only on inbox arrivals of enabled
accounts, and runs deny list -> allow list -> engine -> thresholds. Every
failure path ends in "deliver normally, unclassified": an unreachable engine, a
missing blob, an account with no Junk folder, a failed verdict write. Nothing
here may delay or lose mail, so no service declares depends_on: rspamd.

Two containers, started with everything else rather than behind a profile:
rspamd, and a redis of its own. The separate redis is not incidental — the app's
redis holds sync leases and arq queues under noeviction, and an ever-growing
Bayes corpus must never be able to fail a job enqueue. This one takes RDB
snapshots and evicts, because its data is derived and retrainable.

Network checks (RBL/SURBL/fuzzy) are off: they leak message-derived hashes and
URLs to third parties, which a self-hosted server's users did not ask for. The
engine makes no outbound connections in the default configuration.

The controller password is generated into .env like MASTER_KEY. It is internal;
humans will reach Rspamd through the admin panel, authenticated as the ordinary
administrator, rather than typing it.

local.d/groups.conf zeroes six SMTP-time symbols — DATE_IN_PAST,
PREVIOUSLY_DELIVERED, HFILTER_HOSTNAME_UNKNOWN, RCVD_NO_TLS_LAST, ARC_NA,
DMARC_NA — and greylisting is disabled. Measured against 398 real delivered
messages, those checks were firing on 44-71% of ordinary mail and pushing 11.3%
of it over the banner threshold; scoring mail at rest for facts true of every
delivered message is simply the wrong question. After: median 3.09 -> 0.70,
p95 7.00 -> 3.40, banner rate 11.3% -> 1.0%. The spec's 12.0/6.0 thresholds were
never the problem and are unchanged. Symbols are zeroed rather than removed so
verdicts stay explainable, and they matter again at the M6 edge (§C.7).

Still to come in C1: the §C.6 router and UI slots. C2 adds the learning loop —
until Bayes is trained, genuine scams and legitimate bulk mail overlap in the
5-8 band and no threshold separates them.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018SqJYt7jD7oUEkoY68sBZo

docker/.env.prod.example

@@ -47,6 +47,18 @@ ADMIN_BIND=0.0.0.0
 
 TZ=Europe/Warsaw
 
+# --- Anti-spam (SPEC Appendix C) ---------------------------------------------
+# Generated by `webmail.sh init`. Internal only: it authenticates the app to the
+# Rspamd controller. Humans never type it — the admin panel gates Rspamd behind
+# the ordinary administrator account.
+RSPAMD_CONTROLLER_PASSWORD=
+# Network checks (RBL/SURBL/fuzzy) are OFF in docker/rspamd/local.d by default:
+# they leak message-derived hashes and URLs to third parties. Enable the modules
+# there first if you want them.
+RSPAMD_MEM_LIMIT=256m
+RSPAMD_REDIS_MEM_LIMIT=160m
+RSPAMD_REDIS_MAXMEMORY=128mb
+
 # --- Search -----------------------------------------------------------------
 # pg   = Postgres full-text. No extra container, no extra RAM. Default.
 # meili = Meilisearch: typo tolerance, better ranking, faster on large mailboxes.