merge: testing → main (reconcile 2-week divergence)

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2026-04-28 18:36:00 -04:00
parent 499836c9e4
commit 862e4dbb31
1235 changed files with 160255 additions and 7996 deletions

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"""Coarse behavior classification for DECNET attacker profiles."""
from __future__ import annotations
from typing import Any
from decnet.telemetry import traced as _traced
@_traced("profiler.classify_behavior")
def classify_behavior(stats: dict[str, Any], services_count: int) -> str:
"""
Coarse behavior bucket:
beaconing | interactive | scanning | brute_force | slow_scan | mixed | unknown
Heuristics (evaluated in priority order):
* `scanning` — ≥ 3 services touched OR mean IAT < 2 s, ≥ 3 events
* `brute_force` — 1 service, n ≥ 8, mean IAT < 5 s, CV < 0.6
* `beaconing` — CV < 0.35, mean IAT ≥ 5 s, ≥ 4 events
* `slow_scan` — ≥ 2 services, mean IAT ≥ 10 s, ≥ 4 events
* `interactive` — mean IAT < 5 s AND CV ≥ 0.5, ≥ 6 events
* `mixed` — catch-all for sessions with enough data
* `unknown` — too few data points
"""
n = stats.get("event_count") or 0
mean = stats.get("mean_iat_s")
cv = stats.get("cv")
if n < 3 or mean is None:
return "unknown"
# Slow scan / low-and-slow: multiple services with long gaps.
# Must be checked before generic scanning so slow multi-service sessions
# don't get mis-bucketed as a fast sweep.
if services_count >= 2 and mean >= 10.0 and n >= 4:
return "slow_scan"
# Scanning: broad service sweep (multi-service) or very rapid single-service bursts.
if n >= 3 and (
(services_count >= 3 and mean < 10.0)
or (services_count >= 2 and mean < 2.0)
):
return "scanning"
# Brute force: hammering one service rapidly and repeatedly.
if services_count == 1 and n >= 8 and mean < 5.0 and cv is not None and cv < 0.6:
return "brute_force"
# Beaconing: regular cadence over multiple events.
if cv is not None and cv < 0.35 and mean >= 5.0 and n >= 4:
return "beaconing"
# Interactive: short but irregular bursts (human or tool with think time).
if cv is not None and cv >= 0.5 and mean < 5.0 and n >= 6:
return "interactive"
return "mixed"