add: Added tests for the new parameter

master
chrisr3d 2018-12-11 10:14:07 +01:00
parent 3850a046ff
commit f0ac7aeb3c
1 changed files with 188 additions and 0 deletions

View File

@ -0,0 +1,188 @@
import datetime
import pytz
import stix2
FAKE_TIME = datetime.datetime(2017, 1, 1, 12, 34, 56, tzinfo=pytz.utc)
ATTACK_PATTERN_ID = "attack-pattern--168b3330-fc69-11e8-b98e-0800279d6dc6"
BUNDLE_ID = "bundle--2acecf31-5262-3981-8eff-db8a1de5945b"
CAMPAIGN_ID = "campaign--f22d70fa-871d-5155-9812-89b3a48f6e50"
COURSE_OF_ACTION_ID = "course-of-action--f9ae0d21-f4c9-360e-8743-b064b2ad2a2e"
IDENTITY_ID = "identity--035a5348-2485-3bca-99ce-62da0f14c37a"
INDICATOR_ID = "indicator--412aba5b-75b4-5827-99f1-c62d91504e97"
INTRUSION_SET_ID = "intrusion-set--2d1db502-fc6c-11e8-8b3f-00216af611cf"
MALWARE_ID = "malware--64ee70a4-8cc1-5d25-8bf2-dea6c79a09c8"
MARKING_DEFINITION_ID = "marking-definition--f8427579-bd0f-3550-8eef-c3f2cb33cd0f"
OBSERVED_DATA_ID = "observed-data--9a74c83e-2c09-3513-874b-91d679be82b8"
RELATIONSHIP_ID = "relationship--ee36ba22-c954-5d25-89c8-5a435eaebeb3"
REPORT_ID = "report--dbfe2a52-fc6c-11e8-8b3f-00216af611cf"
SIGHTING_ID = "sighting--9ae1145d-b1b2-57b6-83f1-36a173a24112"
THREAT_ACTOR_ID = "threat-actor--e5313ad6-6b11-3c07-8ace-7dc52824e063"
TOOL_ID = "tool--bf0895d6-7626-361f-89dd-d404aa340bc2"
VULNERABILITY_ID = "vulnerability--20296e55-98b9-5988-851a-51eddd5022c8"
OBJECT_REFS = [ATTACK_PATTERN_ID, CAMPAIGN_ID, COURSE_OF_ACTION_ID, INDICATOR_ID, INTRUSION_SET_ID,
MALWARE_ID, MARKING_DEFINITION_ID, OBSERVED_DATA_ID, RELATIONSHIP_ID, SIGHTING_ID,
THREAT_ACTOR_ID, TOOL_ID, VULNERABILITY_ID]
ATTACK_PATTERN_KWARGS = dict(
type='attack-pattern',
id=ATTACK_PATTERN_ID,
name="Phishing",
created_by_ref=IDENTITY_ID
)
BUNDLE_KWARGS = dict(
type='bundle',
id=BUNDLE_ID,
spec_version='2.0'
)
CAMPAIGN_KWARGS = dict(
type='campaign',
id=CAMPAIGN_ID,
created_by_ref=IDENTITY_ID,
created="2016-04-06T20:03:00.000Z",
modified="2016-04-06T20:03:00.000Z",
name="Green Group Attacks Against Finance",
description="Campaign by Green Group against a series of targets in the financial services sector.",
)
COURSE_OF_ACTION_KWARGS = dict(
type='course-of-action',
id=COURSE_OF_ACTION_ID,
name="Block",
created_by_ref=IDENTITY_ID
)
IDENTITY_KWARGS = dict(
type='identity',
id=IDENTITY_ID,
name="John Smith",
identity_class="individual",
)
INDICATOR_KWARGS = dict(
type='indicator',
id=INDICATOR_ID,
labels=['malicious-activity'],
pattern="[file:hashes.MD5 = 'd41d8cd98f00b204e9800998ecf8427e']",
created_by_ref=IDENTITY_ID
)
INTRUSION_SET_KWARGS = dict(
type='intrusion-set',
id=INTRUSION_SET_ID,
name="Bobcat Breakin",
created_by_ref=IDENTITY_ID
)
MALWARE_KWARGS = dict(
type='malware',
id=MALWARE_ID,
created="2016-04-06T20:03:00.000Z",
modified="2016-04-06T20:03:00.000Z",
labels=['ransomware'],
name="Cryptolocker",
description="A ransomware related to ...",
created_by_ref=IDENTITY_ID
)
MARKING_DEFINITION_KWARGS = dict(
type='marking-definition',
id=MARKING_DEFINITION_ID,
definition_type='statement',
definition={'statement': "Copyright 2016, Example Corp"},
created_by_ref=IDENTITY_ID
)
OBSERVED_DATA_KWARGS = dict(
type='observed-data',
id=OBSERVED_DATA_ID,
first_observed=FAKE_TIME,
last_observed=FAKE_TIME,
number_observed=1,
objects={
"0": {
"type": "windows-registry-key",
"key": "HKEY_LOCAL_MACHINE\\System\\Foo\\Bar",
}
},
created_by_ref=IDENTITY_ID
)
REPORT_KWARGS = dict(
type='report',
id=REPORT_ID,
labels=["campaign"],
name="Bad Cybercrime",
published=FAKE_TIME,
object_refs=OBJECT_REFS,
created_by_ref=IDENTITY_ID
)
RELATIONSHIP_KWARGS = dict(
type='relationship',
id=RELATIONSHIP_ID,
relationship_type="indicates",
source_ref=INDICATOR_ID,
target_ref=MALWARE_ID,
created_by_ref=IDENTITY_ID
)
SIGHTING_KWARGS = dict(
type='sighting',
id=SIGHTING_ID,
sighting_of_ref=INDICATOR_ID,
created_by_ref=IDENTITY_ID,
observed_data_refs=[OBSERVED_DATA_ID],
where_sighted_refs=[IDENTITY_ID]
)
THREAT_ACTOR_KWARGS = dict(
type='threat-actor',
id=THREAT_ACTOR_ID,
labels=["crime-syndicate"],
name="Evil Org",
created_by_ref=IDENTITY_ID
)
TOOL_KWARGS = dict(
type='tool',
id=TOOL_ID,
labels=["remote-access"],
name="VNC",
created_by_ref=IDENTITY_ID,
interoperability=True
)
VULNERABILITY_KWARGS = dict(
type='vulnerability',
id=VULNERABILITY_ID,
name="Heartbleed",
created_by_ref=IDENTITY_ID
)
if __name__ == '__main__':
attack_pattern = stix2.AttackPattern(**ATTACK_PATTERN_KWARGS, interoperability=True)
campaign = stix2.Campaign(**CAMPAIGN_KWARGS, interoperability=True)
course_of_action = stix2.CourseOfAction(**COURSE_OF_ACTION_KWARGS, interoperability=True)
identity = stix2.Identity(**IDENTITY_KWARGS, interoperability=True)
indicator = stix2.Indicator(**INDICATOR_KWARGS, interoperability=True)
intrusion_set = stix2.IntrusionSet(**INTRUSION_SET_KWARGS, interoperability=True)
malware = stix2.Malware(**MALWARE_KWARGS, interoperability=True)
marking_definition = stix2.MarkingDefinition(**MARKING_DEFINITION_KWARGS, interoperability=True)
observed_data = stix2.ObservedData(**OBSERVED_DATA_KWARGS, interoperability=True)
relationship = stix2.Relationship(**RELATIONSHIP_KWARGS, interoperability=True)
sighting = stix2.Sighting(**SIGHTING_KWARGS, interoperability=True)
threat_actor = stix2.ThreatActor(**THREAT_ACTOR_KWARGS, interoperability=True)
tool = stix2.Tool(**TOOL_KWARGS)#, interoperability=True),
vulnerability = stix2.Vulnerability(**VULNERABILITY_KWARGS, interoperability=True)
report = stix2.Report(**REPORT_KWARGS, interoperability=True)
bundle = stix2.Bundle(**BUNDLE_KWARGS, interoperability=True,
objects=[attack_pattern, campaign, course_of_action, identity, indicator,
intrusion_set, malware, marking_definition, observed_data, tool,
relationship, sighting, threat_actor, vulnerability, report])
stix2.parse(dict(bundle), interoperability=True)
print("All interoperability tests passed !")