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.
24 lines
528 B
YAML
24 lines
528 B
YAML
rule_id: R0031
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rule_version: 1
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name: beaconing
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description: |
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Periodic outbound activity with low jitter — classic C2 beacon.
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Read from AttackerBehavior.beacon_interval_s / .beacon_jitter_pct
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by the BehavioralLifter (E.3.9).
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applies_to:
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- session
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match:
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kind: lifter:beaconing
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max_jitter_pct: 0.15
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min_interval_s: 10
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emits:
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- tactic: TA0011
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technique_id: T1071
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confidence: 0.8
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- tactic: TA0011
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technique_id: T1029
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confidence: 0.85
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evidence_fields:
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- beacon_interval_s
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- beacon_jitter_pct
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