Files
DECNET/tests/clustering/test_campaign_similarity.py
anti 75af00c9c8 test(clustering): full-bound passes through production campaign clusterer
Runs the chained identity + campaign clustering pipeline against all
seven fixtures via from_synthetic / from_synthetic_identity adapters
and ratchets every YAML floor to 1.0 — the production clusterer
(and the reference clusterers used in the per-fixture tests) all
score perfectly across ARI / homogeneity / completeness /
singleton_recall on each fixture.

Three substrate fixes surfaced by the ratchet:

- Tuning: shared_infra now Jaccards payload+C2 only; decky_set moved
  into cohort_weight to prevent fleet-scarcity false-merges (F1's
  shared_wordlist failure mode). Tier weight raised to 1.0 so
  shared payload+C2 alone crosses threshold (F5's intended pass).
- Adapter: from_synthetic_identity now reads SyntheticSession
  started_at + duration_s for session_windows and per-decky
  timestamps (the production-row adapter still uses start_ts/end_ts
  when available).
- Fixture data: paused_campaign.yaml's JA3 collided exactly with
  vpn_hopping.yaml's (same TLS extension list). The collision
  fused two unrelated campaigns under the chained identity layer
  in the noise_floor composite. Made paused's JA3 distinct.

Also wires Campaign / CampaignsResponse into models/__init__.py's
__all__ that was missed in the schema commit.
2026-04-26 09:13:59 -04:00

345 lines
11 KiB
Python

"""Tests for campaign-level similarity primitives.
Covers, in order:
* Each edge family in isolation — phase-handoff, shared-infra,
temporal-overlap, cohort.
* The F7 (slow_burn) time-agnostic invariant — shifting every
timestamp on both sides by the same Δ preserves every edge weight.
* The F1 (shared_wordlist) failure mode — shared cohort alone must
NOT push a pair over threshold.
* The F5 (multi_operator) target — phase-handoff alone (the
load-bearing campaign-level signal) DOES cross threshold.
* Tier-combination arithmetic — shared-infra + temporal overlap
(the canonical co-op pattern) crosses threshold; shared-infra +
cohort does not.
"""
from __future__ import annotations
import pytest
from decnet.clustering.campaign.impl.similarity import (
CAMPAIGN_EDGE_THRESHOLD,
DEFAULT_HANDOFF_WINDOW_S,
IdentityFeatures,
cohort_weight,
combined_campaign_weight,
phase_handoff_weight,
shared_infra_weight,
temporal_overlap_weight,
)
def _features(uuid: str, **kwargs) -> IdentityFeatures:
return IdentityFeatures(identity_uuid=uuid, **kwargs)
# ─── phase_handoff_weight ────────────────────────────────────────────────────
def test_phase_handoff_clean_out_to_in_within_window():
a = _features(
"a",
last_phase_per_decky={"d1": "command_and_control"},
last_seen_per_decky={"d1": 1000.0},
)
b = _features(
"b",
first_phase_per_decky={"d1": "discovery"},
first_seen_per_decky={"d1": 1000.0 + 600.0}, # 10 min later
)
assert phase_handoff_weight(a, b) == 1.0
def test_phase_handoff_symmetric():
# B finishes, A picks up. The argument order shouldn't matter.
b = _features(
"b",
last_phase_per_decky={"d1": "persistence"},
last_seen_per_decky={"d1": 5000.0},
)
a = _features(
"a",
first_phase_per_decky={"d1": "lateral_movement"},
first_seen_per_decky={"d1": 5000.0 + 60.0},
)
assert phase_handoff_weight(a, b) == 1.0
assert phase_handoff_weight(b, a) == 1.0
def test_phase_handoff_no_decky_overlap():
a = _features(
"a",
last_phase_per_decky={"d1": "command_and_control"},
last_seen_per_decky={"d1": 1000.0},
)
b = _features(
"b",
first_phase_per_decky={"d2": "discovery"},
first_seen_per_decky={"d2": 1100.0},
)
assert phase_handoff_weight(a, b) == 0.0
def test_phase_handoff_phase_mismatch():
# A ends mid-pivoting (not a handoff-out phase) → no signal.
a = _features(
"a",
last_phase_per_decky={"d1": "exploitation"},
last_seen_per_decky={"d1": 1000.0},
)
b = _features(
"b",
first_phase_per_decky={"d1": "discovery"},
first_seen_per_decky={"d1": 1100.0},
)
assert phase_handoff_weight(a, b) == 0.0
def test_phase_handoff_outside_window():
a = _features(
"a",
last_phase_per_decky={"d1": "command_and_control"},
last_seen_per_decky={"d1": 0.0},
)
b = _features(
"b",
first_phase_per_decky={"d1": "discovery"},
# Way past the 24h default window.
first_seen_per_decky={"d1": DEFAULT_HANDOFF_WINDOW_S + 3600.0},
)
assert phase_handoff_weight(a, b) == 0.0
def test_phase_handoff_negative_gap_rejected():
# B starts BEFORE A ends — that's overlap, not a handoff.
a = _features(
"a",
last_phase_per_decky={"d1": "persistence"},
last_seen_per_decky={"d1": 2000.0},
)
b = _features(
"b",
first_phase_per_decky={"d1": "lateral_movement"},
first_seen_per_decky={"d1": 1000.0},
)
assert phase_handoff_weight(a, b) == 0.0
# ─── shared_infra_weight ─────────────────────────────────────────────────────
def test_shared_infra_full_overlap():
a = _features(
"a",
payload_hashes=frozenset({"hash-1"}),
c2_endpoints=frozenset({"1.2.3.4:443"}),
decky_set=frozenset({"d1"}),
)
b = _features(
"b",
payload_hashes=frozenset({"hash-1"}),
c2_endpoints=frozenset({"1.2.3.4:443"}),
decky_set=frozenset({"d1"}),
)
assert shared_infra_weight(a, b) == 1.0
def test_shared_infra_no_overlap():
a = _features("a", payload_hashes=frozenset({"hash-a"}))
b = _features("b", payload_hashes=frozenset({"hash-b"}))
assert shared_infra_weight(a, b) == 0.0
def test_shared_infra_empty_returns_zero():
a = _features("a")
b = _features("b")
assert shared_infra_weight(a, b) == 0.0
# ─── temporal_overlap_weight ─────────────────────────────────────────────────
def test_temporal_overlap_full():
a = _features("a", session_windows=((0.0, 100.0),))
b = _features("b", session_windows=((0.0, 100.0),))
assert temporal_overlap_weight(a, b) == 1.0
def test_temporal_overlap_partial():
a = _features("a", session_windows=((0.0, 100.0),))
b = _features("b", session_windows=((50.0, 150.0),))
# 50 of 100 of A's time overlaps B.
assert temporal_overlap_weight(a, b) == pytest.approx(0.5)
def test_temporal_overlap_disjoint():
a = _features("a", session_windows=((0.0, 100.0),))
b = _features("b", session_windows=((200.0, 300.0),))
assert temporal_overlap_weight(a, b) == 0.0
def test_temporal_overlap_empty():
a = _features("a")
b = _features("b", session_windows=((0.0, 100.0),))
assert temporal_overlap_weight(a, b) == 0.0
# ─── cohort_weight ───────────────────────────────────────────────────────────
def test_cohort_asn_overlap():
a = _features("a", asn_cohort=frozenset({64512}))
b = _features("b", asn_cohort=frozenset({64512}))
assert cohort_weight(a, b) == 1.0
def test_cohort_disjoint():
a = _features("a", asn_cohort=frozenset({64512}))
b = _features("b", asn_cohort=frozenset({64513}))
assert cohort_weight(a, b) == 0.0
# ─── F7 time-agnostic invariant ──────────────────────────────────────────────
def test_f7_invariant_temporal_overlap_unchanged_under_shift():
# The fixture-7 (slow_burn) invariant: shifting every timestamp on
# BOTH sides by the same Δ must yield the same edge weight. The
# campaign clusterer's edges are pairwise-relative; an absolute
# 90-day shift must not change anything.
a = _features("a", session_windows=((0.0, 100.0), (300.0, 400.0)))
b = _features("b", session_windows=((50.0, 150.0), (350.0, 450.0)))
base = temporal_overlap_weight(a, b)
shift = 90 * 24 * 3600.0
a_shifted = _features(
"a",
session_windows=tuple((s + shift, e + shift) for s, e in a.session_windows),
)
b_shifted = _features(
"b",
session_windows=tuple((s + shift, e + shift) for s, e in b.session_windows),
)
assert temporal_overlap_weight(a_shifted, b_shifted) == pytest.approx(base)
def test_f7_invariant_phase_handoff_unchanged_under_shift():
a = _features(
"a",
last_phase_per_decky={"d1": "command_and_control"},
last_seen_per_decky={"d1": 1000.0},
)
b = _features(
"b",
first_phase_per_decky={"d1": "discovery"},
first_seen_per_decky={"d1": 1600.0},
)
base = phase_handoff_weight(a, b)
shift = 90 * 24 * 3600.0
a_shifted = _features(
"a",
last_phase_per_decky=dict(a.last_phase_per_decky),
last_seen_per_decky={k: v + shift for k, v in a.last_seen_per_decky.items()},
)
b_shifted = _features(
"b",
first_phase_per_decky=dict(b.first_phase_per_decky),
first_seen_per_decky={k: v + shift for k, v in b.first_seen_per_decky.items()},
)
assert phase_handoff_weight(a_shifted, b_shifted) == base == 1.0
# ─── Combined-weight + threshold semantics ──────────────────────────────────
def test_phase_handoff_alone_crosses_threshold():
"""F5 multi_operator's load-bearing signal: handoff alone is enough."""
a = _features(
"a",
last_phase_per_decky={"d1": "persistence"},
last_seen_per_decky={"d1": 1000.0},
)
b = _features(
"b",
first_phase_per_decky={"d1": "lateral_movement"},
first_seen_per_decky={"d1": 1100.0},
)
assert combined_campaign_weight(a, b) >= CAMPAIGN_EDGE_THRESHOLD
def test_cohort_alone_below_threshold():
"""F2 vpn_hopping at campaign level: cohort alone is not co-op."""
a = _features("a", asn_cohort=frozenset({64512}))
b = _features("b", asn_cohort=frozenset({64512}))
assert combined_campaign_weight(a, b) < CAMPAIGN_EDGE_THRESHOLD
def test_shared_infra_alone_crosses_threshold():
"""Shared payload + C2 alone is enough — F5's intended pass condition."""
a = _features(
"a",
payload_hashes=frozenset({"h"}),
c2_endpoints=frozenset({"c"}),
)
b = _features(
"b",
payload_hashes=frozenset({"h"}),
c2_endpoints=frozenset({"c"}),
)
assert combined_campaign_weight(a, b) >= CAMPAIGN_EDGE_THRESHOLD
def test_decky_overlap_alone_below_threshold():
"""F1's failure mode: shared targeting on a small fleet is NOT co-op.
Two campaigns hitting the same SSH deckies share no payload/C2,
just the decky set. Cohort tier alone must not cross threshold.
"""
a = _features(
"a",
decky_set=frozenset({"d1", "d2"}),
asn_cohort=frozenset({64512}),
)
b = _features(
"b",
decky_set=frozenset({"d1", "d2"}),
asn_cohort=frozenset({64513}),
)
assert combined_campaign_weight(a, b) < CAMPAIGN_EDGE_THRESHOLD
def test_combined_invariant_under_shift():
"""End-to-end F7 invariant on the combined weight."""
a = _features(
"a",
last_phase_per_decky={"d1": "persistence"},
last_seen_per_decky={"d1": 1000.0},
session_windows=((0.0, 1500.0),),
payload_hashes=frozenset({"h"}),
)
b = _features(
"b",
first_phase_per_decky={"d1": "discovery"},
first_seen_per_decky={"d1": 1100.0},
session_windows=((1100.0, 2000.0),),
payload_hashes=frozenset({"h"}),
)
base = combined_campaign_weight(a, b)
shift = 90 * 24 * 3600.0
a_shifted = IdentityFeatures(
identity_uuid=a.identity_uuid,
last_phase_per_decky=dict(a.last_phase_per_decky),
last_seen_per_decky={k: v + shift for k, v in a.last_seen_per_decky.items()},
session_windows=tuple((s + shift, e + shift) for s, e in a.session_windows),
payload_hashes=a.payload_hashes,
)
b_shifted = IdentityFeatures(
identity_uuid=b.identity_uuid,
first_phase_per_decky=dict(b.first_phase_per_decky),
first_seen_per_decky={k: v + shift for k, v in b.first_seen_per_decky.items()},
session_windows=tuple((s + shift, e + shift) for s, e in b.session_windows),
payload_hashes=b.payload_hashes,
)
assert combined_campaign_weight(a_shifted, b_shifted) == pytest.approx(base)