Adds the campaigns table and the BaseRepository / SQLModelRepository
methods that the campaign-clusterer worker (next commit) needs to
populate it. Mirrors the AttackerIdentity layer: schema_version from
day one for federation gossip, soft-merge via merged_into_uuid with a
chain-walking get_campaign_by_uuid, list_campaigns excluding merged-
out rows while list_all_campaigns returns the unfiltered set for the
revoke pass. attacker_identities.campaign_id gets a real FK now that
the target table exists.
Schema-only commit, first of the five-step substrate for identity
resolution. The clusterer that populates identities lands later; this
ships the table empty and the FK uniformly NULL on existing rows.
* decnet/web/db/models/attackers.py — new AttackerIdentity SQLModel
(uuid PK, schema_version, fingerprint summary lists, kd_digraph_simhash,
merged_into_uuid self-FK, all clusterer-populated fields nullable).
Attacker grows a nullable indexed identity_id FK + docstring marking
it as the per-IP observation row.
* decnet/web/db/models/__init__.py — re-exports AttackerIdentity.
* tests/db/test_identity_schema.py — 9 schema invariants: table exists,
identity_id nullable + indexed, FK targets attacker_identities.uuid,
schema_version defaults to 1, attacker rows inserted with NULL
identity_id, FK constraint blocks orphans.
463 unrelated db/web/profiler/correlation tests still green. See
development/IDENTITY_RESOLUTION.md for the full design.
Adds asn (int), as_name (varchar 128), asn_source (varchar 16) to
the Attacker SQLModel — direct columns, no _migrate_* helper per
feedback_no_new_migrations_prev1.
Profiler worker now calls decnet.asn.enrich_ip alongside the existing
geoip enrich_ip; both feed the upsert payload. Failure is total — if
either lookup throws or the IP is private/unannounced, the field stays
None and the row still writes.
Both lookups are independent: a CGNAT address can have a country (RIR
allocation) but no ASN (no BGP origin), and vice-versa for unrouted
RIR-allocated space. Storing them separately preserves that signal.
Resolve each attacker IP's rDNS name once at first sighting, store on
Attacker.ptr_record, render on AttackerDetail under ORIGIN. Many
attackers run infrastructure with forgotten rDNS that instantly
identifies them once surfaced: scan-node-42.shodan.io,
shady-vps.leasecloud.net, etc.
Resolver lives in decnet/geoip/ptr.py — colocated with enrich_ip
because the shape matches (take an IP, return supplementary
metadata, never raise). Uses the OS resolver via socket.gethostbyaddr
offloaded to the default executor, wrapped with asyncio.wait_for
timeout=2s so a slow authoritative NS can't stall the profiler tick.
Profiler side: _WorkerState grows a ptr_attempted: set[str] bounding
resolution to once per worker lifetime. Cold-start batches resolve
concurrently (Semaphore(_PTR_CONCURRENCY=10)) so a backlog doesn't
serialize 2s ceilings. _build_record gains a keyword-only ptr_record
parameter that, when _UNSET, omits the key from the record dict —
upsert_attacker's attribute-merge loop then preserves whatever's
stored on the row. Explicit None is a "fresh failed attempt" signal
and gets written through.
Env kill-switch DECNET_PTR_ENABLED=false for locked-down deploys
where egress DNS is forbidden. Private / loopback / link-local /
multicast / reserved addresses short-circuit before any DNS call.
IPv6 reverse DNS works transparently through the stdlib resolver.
Schema change — run once on upgrade:
ALTER TABLE attackers
ADD COLUMN ptr_record VARCHAR(256) NULL DEFAULT NULL;
Or drop-and-recreate on dev boxes (db-reset's SQLModel.metadata-driven
table discovery now picks it up automatically since ba155b7).
tests/conftest.py disables DECNET_PTR_ENABLED globally for the same
reason it disables DECNET_GEOIP_ENABLED — unit tests must never hit
the network. tests/geoip/test_ptr.py re-enables explicitly via an
autouse fixture.
Follow-ups on 9232031 per review:
- Module-level constants KD_PAUSE_BURST_MAX_S (0.2s),
KD_PAUSE_THINK_MAX_S (1.5s), KD_START_OF_ACTION_IDLE_S (2.0s).
Docstrings reference them by name; future calibration against real
session data only has to touch one place. Threshold for "started
a new action" raised from 1s → 2s — 1s catches too much
mid-command hesitation to be empirically bimodal.
- New column kd_max_pause_gap (seconds). The distracted bucket count
alone can't distinguish one 3s pause from three 60s pauses;
max-gap carries that signal in one cheap scalar (vs widening the
histogram to a fourth bucket).
- Scope-framing docstring above the whole kd_* section: intended
use is session clustering / tooling attribution, explicitly NOT
biometric identity, admission decisions, or ML-driven user ID.
Keeps a future well-intentioned contributor from walking the
project into legal/ethics territory by accident.
- TODO comment on kd_top_bigrams: v1's JSON-in-TEXT is fine for
"show the top digraphs on the attacker page". If bigram-similarity
queries become hot, promote to a session_bigram_stats(sid, bigram,
count, mean_iat_s) table or Postgres JSONB + GIN. Neither changes
the write-side ingester materially.
No new migration helper — pre-v1 schema additions go through
create_all on fresh DBs; the existing _migrate_session_profile_table
stays but does not get extended. Alembic lands at v1 and sweeps all
the ad-hoc migrations at once.
Adds the three signal columns motivated by the manual keystroke
analysis in DEBT-036 directly to the SessionProfile table. Pre-v1 so
we modify the schema in place — Alembic arrives at v1.
Columns:
- kd_top_bigrams (TEXT) — JSON of top-N most-common digraphs with
mean IAT per bigram. Complements kd_digraph_simhash ("same typist?")
with "same typist in same mental state?" (tired / rested / distracted
shifts bigram-specific IATs measurably).
- kd_start_of_action_latency (REAL/DOUBLE) — median IAT of the first
keystroke after an idle gap > 1s. Separates "initiating a command"
from "executing a remembered one"; real humans have measurable
start-of-action latency, bots don't.
- kd_pause_hist_burst / _think / _distracted (INT) — three-bucket
histogram (counts, <0.2s / 0.2-1.5s / >1.5s). More discriminating
than the existing flat burst_ratio / think_ratio pair: C2 operators
concentrate in burst with a thin tail; opportunistic humans have a
fat think bucket and a long distracted tail.
Both backends get an idempotent ADD COLUMN migration
(_migrate_session_profile_table) wired into initialize() alongside
the existing _migrate_attackers_table path — guards on PRAGMA
table_info (SQLite) / information_schema.COLUMNS (MySQL) so reruns
are safe.
PII discipline comment on kd_digraph_simhash and kd_top_bigrams:
both operate on bigram CHARACTERS, never on raw input stream content.
Attacker passwords typed over SSH must not land here.
Test updated for the MySQL initialize() migration-order contract.
MySQL can't index a BLOB/TEXT column without a prefix length, so
create_all() on a fresh MySQL schema blew up with "BLOB/TEXT column
'kd_digraph_simhash' used in key specification without a key length".
SimHashes are a fixed 8 bytes — the variable-length type was a
SQLAlchemy-side auto-mapping from 'Optional[bytes]', not an actual
schema requirement. Switch to BINARY(8), which is portable: MySQL gets
a fixed-width indexable BINARY, SQLite treats it as BLOB and doesn't
care about key length.
Populates Attacker.country_code + country_source (MVP) using the five
RIR delegated-stats files (ARIN/RIPE/APNIC/LACNIC/AFRINIC). Offline,
license-free, no outbound traffic that could burn honeypot stealth.
- decnet.geoip package with factory/base/lookup + rir/ subpackage
(fetch/parse/provider) mirroring the db + bus factory convention
- Profiler._build_record calls enrich_ip on every upsert
- Idempotent ALTER TABLE migrations for both SQLite and MySQL
- decnet geoip refresh/lookup CLI (master-only)
- /var/lib/decnet/geoip seeded by decnet init
- DECNET_GEOIP_ENABLED=false kill-switch; set in tests/conftest.py so
unit tests never trigger the first-access fetch
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.
