133 lines
7.6 KiB
Python
133 lines
7.6 KiB
Python
import tempfile
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import time
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import unittest
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from pathlib import Path
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from fgai.baseline import BaselineStore
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from fgai.logs import parse_log_line
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from fgai.stream_profiles import parse_profiles
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class BaselineTests(unittest.TestCase):
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def test_creates_profile_after_twelve_completed_windows(self):
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with tempfile.TemporaryDirectory() as directory:
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store = BaselineStore(str(Path(directory) / "baseline.sqlite3"))
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for index in range(13):
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store.ingest([parse_log_line(f"srcip=10.0.0.1 dstport={1000 + index} hitcount=2 sentbyte=5")], observed_at=1_700_000_000 + index * 300)
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profiles = store.profiles({"10.0.0.1"})
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self.assertEqual(profiles["10.0.0.1"]["samples"], 12)
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self.assertIn("1000", profiles["10.0.0.1"]["known_destination_ports"])
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def test_profile_events_are_deduplicated_between_polls(self):
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with tempfile.TemporaryDirectory() as directory:
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store = BaselineStore(str(Path(directory) / "baseline.sqlite3"))
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profiles = parse_profiles([{"stream_id": "windows", "entity_field": "username", "categorical_fields": ["action"]}])
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events = [
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parse_log_line(f"fgai_stream_id=windows username=alice action=login event={index}")
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for index in range(12)
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]
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self.assertEqual(store.ingest_profile_fields(events, profiles, observed_at=1_700_000_000), 1)
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self.assertEqual(store.ingest_profile_fields(events, profiles, observed_at=1_700_000_300), 0)
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def test_profile_can_baseline_multiple_entities_from_same_event(self):
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with tempfile.TemporaryDirectory() as directory:
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store = BaselineStore(str(Path(directory) / "baseline.sqlite3"))
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profiles = parse_profiles([{"stream_id": "vpn", "entity_fields": ["username", "srcip"], "categorical_fields": ["action"]}])
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events = [parse_log_line("fgai_stream_id=vpn username=alice srcip=10.0.0.5 action=login")]
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self.assertEqual(store.ingest_profile_fields(events, profiles, observed_at=1_700_000_000), 2)
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readiness = store.profile_readiness(profiles)
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self.assertEqual(readiness[0]["buckets"], 1)
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def test_profile_rate_burst_is_one_confident_detector(self):
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with tempfile.TemporaryDirectory() as directory:
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store = BaselineStore(str(Path(directory) / "baseline.sqlite3"))
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profiles = parse_profiles([{"stream_id": "windows", "entity_field": "username", "categorical_fields": ["action"]}])
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for index in range(12):
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event = parse_log_line(f"fgai_stream_id=windows username=alice action=login baseline={index}")
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store.ingest_profile_fields([event], profiles, observed_at=1_700_000_000 + index * 300)
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burst = [
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parse_log_line(f"fgai_stream_id=windows username=alice action=login burst={index}")
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for index in range(20)
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]
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deviations = store.profile_deviations(burst, profiles)["alice"]
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rate = next(item for item in deviations if item["detector"] == "event_rate_burst")
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self.assertEqual(rate["field"], "event_rate")
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self.assertEqual(rate["baseline_samples"], 12)
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def test_profile_authentication_failure_burst(self):
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with tempfile.TemporaryDirectory() as directory:
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store = BaselineStore(str(Path(directory) / "baseline.sqlite3"))
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profiles = parse_profiles([{"stream_id": "windows", "entity_field": "username", "categorical_fields": ["action"]}])
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for index in range(12):
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event = parse_log_line(f"fgai_stream_id=windows username=alice action=failed baseline={index}")
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store.ingest_profile_fields([event], profiles, observed_at=1_700_000_000 + index * 300)
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burst = [
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parse_log_line(f"fgai_stream_id=windows username=alice action=failed burst={index}")
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for index in range(5)
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]
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deviations = store.profile_deviations(burst, profiles)["alice"]
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auth = next(item for item in deviations if item["detector"] == "auth_failure_burst")
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self.assertEqual(auth["current"], 5)
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def test_profile_field_weights_raise_detector_score(self):
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with tempfile.TemporaryDirectory() as directory:
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store = BaselineStore(str(Path(directory) / "baseline.sqlite3"))
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profiles = parse_profiles([{"stream_id": "windows", "entity_field": "username", "categorical_fields": ["action"], "field_weights": {"auth_failure_burst": 2}}])
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for index in range(12):
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event = parse_log_line(f"fgai_stream_id=windows username=alice action=failed baseline={index}")
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store.ingest_profile_fields([event], profiles, observed_at=1_700_000_000 + index * 300)
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burst = [
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parse_log_line(f"fgai_stream_id=windows username=alice action=failed burst={index}")
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for index in range(5)
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]
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deviations = store.profile_deviations(burst, profiles)["alice"]
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auth = next(item for item in deviations if item["detector"] == "auth_failure_burst")
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self.assertEqual(auth["weight"], 2.0)
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self.assertGreater(auth["score"], auth["base_score"])
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def test_maintenance_prunes_old_baseline_rows(self):
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with tempfile.TemporaryDirectory() as directory:
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store = BaselineStore(str(Path(directory) / "baseline.sqlite3"))
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profiles = parse_profiles([{"stream_id": "windows", "entity_field": "username", "categorical_fields": ["action"]}])
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old = int(time.time()) - 20 * 86400
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recent = int(time.time())
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store.ingest([parse_log_line("srcip=10.0.0.1 dstport=443 old=1")], observed_at=old)
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store.ingest_profile_fields([parse_log_line("fgai_stream_id=windows username=alice action=login old=1")], profiles, observed_at=old)
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store.ingest([parse_log_line("srcip=10.0.0.2 dstport=443 recent=1")], observed_at=recent)
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store.ingest_profile_fields([parse_log_line("fgai_stream_id=windows username=bob action=login recent=1")], profiles, observed_at=recent)
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result = store.maintenance(retention_days=7, value_retention_days=7, max_values_per_field=2000)
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self.assertGreaterEqual(result["deleted"]["source_buckets"], 1)
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self.assertGreaterEqual(result["deleted"]["profile_buckets"], 1)
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self.assertGreaterEqual(result["deleted"]["seen_events"], 1)
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self.assertGreaterEqual(result["deleted"]["profile_seen_events"], 1)
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def test_rare_values_are_limited_per_entity(self):
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with tempfile.TemporaryDirectory() as directory:
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store = BaselineStore(str(Path(directory) / "baseline.sqlite3"))
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profiles = parse_profiles([{"stream_id": "dns", "entity_field": "srcip", "categorical_fields": ["query_domain"]}])
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now = int(time.time()) - 86400
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baseline = [
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parse_log_line(f"fgai_stream_id=dns srcip=10.0.0.5 query_domain=known-{index}.example baseline={index}")
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for index in range(30)
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]
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store.ingest_profile_fields(baseline, profiles, observed_at=now)
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burst = [
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parse_log_line(f"fgai_stream_id=dns srcip=10.0.0.5 query_domain=new-{index}.example burst={index}")
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for index in range(12)
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]
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deviations = store.profile_deviations(burst, profiles)["10.0.0.5"]
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rare = [item for item in deviations if item["detector"] == "rare_value"]
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self.assertLessEqual(len(rare), 5)
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self.assertTrue(all(item["score"] >= 15 for item in rare))
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