10 YAMLs for the behavioral / cross-event cohort per Appendix B: beaconing, data destruction, ransom note, web exfil, DB mass-read, credentials-in-files, k8s SA token harvest, Docker host escape, LLMNR poisoning, TFTP router-config retrieval. Every rule is lifter-bound (BehavioralLifter / IdentityLifter) — the v0 RuleEngine cannot count, aggregate, or compose cross-event signals, so these YAMLs declare the technique mappings the lifter will consume by rule_id at E.3.9. Their match specs use a 'kind: lifter:*' shape inert to the regex matcher. test_behavioral_rules.py asserts each YAML compiles, none fire from the v0 engine (FP regression guard against a YAML drifting into a regex), and an xfail(strict=True, reason='impl phase E.3.9') precision case that will flip green when the lifter lands.
78 lines
2.8 KiB
Python
78 lines
2.8 KiB
Python
"""R0031-R0040 — behavioral / cross-event cohort.
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Every rule here is consumed by the BehavioralLifter (or an
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identity-rollup variant) at E.3.9. The v0 :class:`RuleEngine` has no
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counter / aggregator — it can only regex over a single event
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payload — so these rules cannot fire from the engine alone. Their
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``match.kind`` keys (``lifter:beaconing`` etc.) are inert to the
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regex matcher by design.
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This file asserts:
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* every R003N has a YAML on disk that compiles
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* the v0 engine NEVER fires any of them (regression guard against a
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YAML drifting into a regex match)
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* the precision target test is :pyfunc:`pytest.xfail`-gated until
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the BehavioralLifter ships, matching the CDD pattern at
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``development/TTP_TAGGING.md:2450``.
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"""
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from __future__ import annotations
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from collections.abc import Callable
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from pathlib import Path
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import pytest
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from decnet.ttp.impl.rule_engine import RuleEngine
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from decnet.ttp.store.base import RuleState
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from decnet.ttp.store.impl.filesystem import _parse_and_compile
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from tests.ttp.rule_precision.conftest import CorpusRow, make_event
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CohortLoader = Callable[[str], list[CorpusRow]]
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_RULE_IDS = [f"R{n:04d}" for n in range(31, 41)]
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@pytest.mark.parametrize("rule_id", _RULE_IDS)
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def test_rule_yaml_present(rule_id: str) -> None:
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path = Path("rules/ttp") / f"{rule_id}.yaml"
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assert path.exists(), f"missing YAML: {path}"
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compiled = _parse_and_compile(path, RuleState())
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assert compiled.rule_id == rule_id
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@pytest.mark.parametrize("rule_id", _RULE_IDS)
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async def test_lifter_bound_inert_in_v0(
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rule_id: str,
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precision_engine: RuleEngine,
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corpus_loader: CohortLoader,
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) -> None:
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"""Behavioral rules MUST NOT fire from the regex engine.
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Walks both the behavioral and the command corpora — if any event
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in either set lights up a behavioral rule, a YAML drifted into a
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regex match.spec.
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"""
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fired: set[str] = set()
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for cohort in ("behavioral", "commands"):
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for row in corpus_loader(cohort):
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tags = await precision_engine.evaluate(make_event(row))
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fired.update(tag.rule_id for tag in tags)
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assert rule_id not in fired, (
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f"{rule_id} is lifter-bound but fired from the regex engine"
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)
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@pytest.mark.parametrize("rule_id", _RULE_IDS)
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@pytest.mark.xfail(strict=True, reason="impl phase E.3.9 (BehavioralLifter)")
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def test_behavioral_rule_precision(rule_id: str) -> None:
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"""Will live once the BehavioralLifter ships at E.3.9.
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The lifter consumes ``AttackerBehavior`` / session aggregates and
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emits one tag per matching rule_id. This test will then load the
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behavioral corpus, drive the lifter, and assert the per-rule
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precision target. Until that day this xfails strict so the suite
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flips green automatically when E.3.9 wires it up.
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"""
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pytest.fail(f"{rule_id}: BehavioralLifter not yet shipped (E.3.9)")
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