Merge remote-tracking branch 'origin/master' into stix2.1

stix2.1
Greg Back 2018-06-14 12:42:06 -05:00
commit 2e0dfc6592
6 changed files with 257 additions and 42 deletions

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@ -60,8 +60,7 @@ To parse a STIX JSON string into a Python STIX object, use
"malicious-activity"
],
"name": "File hash for malware variant",
"pattern": "[file:hashes.md5 =
'd41d8cd98f00b204e9800998ecf8427e']",
"pattern": "[file:hashes.md5 ='d41d8cd98f00b204e9800998ecf8427e']",
"valid_from": "2017-09-26T23:33:39.829952Z"
}""")
print(indicator)

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@ -185,7 +185,13 @@ class _STIXBase(collections.Mapping):
# Handle attribute access just like key access
def __getattr__(self, name):
if name in self:
# Pickle-proofing: pickle invokes this on uninitialized instances (i.e.
# __init__ has not run). So no "self" attributes are set yet. The
# usual behavior of this method reads an __init__-assigned attribute,
# which would cause infinite recursion. So this check disables all
# attribute reads until the instance has been properly initialized.
unpickling = "_inner" not in self.__dict__
if not unpickling and name in self:
return self.__getitem__(name)
raise AttributeError("'%s' object has no attribute '%s'" %
(self.__class__.__name__, name))
@ -236,6 +242,21 @@ class _STIXBase(collections.Mapping):
optional properties set to the default value defined in the spec.
**kwargs: The arguments for a json.dumps() call.
Examples:
>>> import stix2
>>> identity = stix2.Identity(name='Example Corp.', identity_class='organization')
>>> print(identity.serialize(sort_keys=True))
{"created": "2018-06-08T19:03:54.066Z", ... "name": "Example Corp.", "type": "identity"}
>>> print(identity.serialize(sort_keys=True, indent=4))
{
"created": "2018-06-08T19:03:54.066Z",
"id": "identity--d7f3e25a-ba1c-447a-ab71-6434b092b05e",
"identity_class": "organization",
"modified": "2018-06-08T19:03:54.066Z",
"name": "Example Corp.",
"type": "identity"
}
Returns:
str: The serialized JSON object.

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@ -860,3 +860,33 @@ def test_register_custom_object():
def test_extension_property_location():
assert 'extensions' in stix2.v21.observables.OBJ_MAP_OBSERVABLE['x-new-observable']._properties
assert 'extensions' not in stix2.v21.observables.EXT_MAP['domain-name']['x-new-ext']._properties
@pytest.mark.parametrize("data", [
"""{
"type": "x-example",
"id": "x-example--336d8a9f-91f1-46c5-b142-6441bb9f8b8d",
"created": "2018-06-12T16:20:58.059Z",
"modified": "2018-06-12T16:20:58.059Z",
"dictionary": {
"key": {
"key_a": "value",
"key_b": "value"
}
}
}""",
])
def test_custom_object_nested_dictionary(data):
@stix2.sdo.CustomObject('x-example', [
('dictionary', stix2.properties.DictionaryProperty()),
])
class Example(object):
def __init__(self, **kwargs):
pass
example = Example(id='x-example--336d8a9f-91f1-46c5-b142-6441bb9f8b8d',
created='2018-06-12T16:20:58.059Z',
modified='2018-06-12T16:20:58.059Z',
dictionary={'key': {'key_b': 'value', 'key_a': 'value'}})
assert data == str(example)

17
stix2/test/test_pickle.py Normal file
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@ -0,0 +1,17 @@
import pickle
import stix2
def test_pickling():
"""
Ensure a pickle/unpickle cycle works okay.
"""
identity = stix2.Identity(
id="identity--d66cb89d-5228-4983-958c-fa84ef75c88c",
name="alice",
description="this is a pickle test",
identity_class="some_class"
)
pickle.loads(pickle.dumps(identity))

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@ -1,3 +1,5 @@
# -*- coding: utf-8 -*-
import datetime as dt
from io import StringIO
@ -10,7 +12,7 @@ amsterdam = pytz.timezone('Europe/Amsterdam')
eastern = pytz.timezone('US/Eastern')
@pytest.mark.parametrize('dttm,timestamp', [
@pytest.mark.parametrize('dttm, timestamp', [
(dt.datetime(2017, 1, 1, tzinfo=pytz.utc), '2017-01-01T00:00:00Z'),
(amsterdam.localize(dt.datetime(2017, 1, 1)), '2016-12-31T23:00:00Z'),
(eastern.localize(dt.datetime(2017, 1, 1, 12, 34, 56)), '2017-01-01T17:34:56Z'),
@ -76,12 +78,12 @@ def test_get_dict_invalid(data):
stix2.utils._get_dict(data)
@pytest.mark.parametrize('stix_id, typ', [
@pytest.mark.parametrize('stix_id, type', [
('malware--d69c8146-ab35-4d50-8382-6fc80e641d43', 'malware'),
('intrusion-set--899ce53f-13a0-479b-a0e4-67d46e241542', 'intrusion-set')
])
def test_get_type_from_id(stix_id, typ):
assert stix2.utils.get_type_from_id(stix_id) == typ
def test_get_type_from_id(stix_id, type):
assert stix2.utils.get_type_from_id(stix_id) == type
def test_deduplicate(stix_objs1):
@ -100,3 +102,110 @@ def test_deduplicate(stix_objs1):
assert "indicator--d81f86b9-975b-bc0b-775e-810c5ad45a4f" in ids
assert "2017-01-27T13:49:53.935Z" in mods
assert "2017-01-27T13:49:53.936Z" in mods
@pytest.mark.parametrize('object, tuple_to_find, expected_index', [
(stix2.ObservedData(
id="observed-data--b67d30ff-02ac-498a-92f9-32f845f448cf",
created_by_ref="identity--f431f809-377b-45e0-aa1c-6a4751cae5ff",
created="2016-04-06T19:58:16.000Z",
modified="2016-04-06T19:58:16.000Z",
first_observed="2015-12-21T19:00:00Z",
last_observed="2015-12-21T19:00:00Z",
number_observed=50,
objects={
"0": {
"name": "foo.exe",
"type": "file"
},
"1": {
"type": "ipv4-addr",
"value": "198.51.100.3"
},
"2": {
"type": "network-traffic",
"src_ref": "1",
"protocols": [
"tcp",
"http"
],
"extensions": {
"http-request-ext": {
"request_method": "get",
"request_value": "/download.html",
"request_version": "http/1.1",
"request_header": {
"Accept-Encoding": "gzip,deflate",
"User-Agent": "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.6) Gecko/20040113",
"Host": "www.example.com"
}
}
}
}
},
), ('1', {"type": "ipv4-addr", "value": "198.51.100.3"}), 1),
({
"type": "x-example",
"id": "x-example--d5413db2-c26c-42e0-b0e0-ec800a310bfb",
"created": "2018-06-11T01:25:22.063Z",
"modified": "2018-06-11T01:25:22.063Z",
"dictionary": {
"key": {
"key_one": "value",
"key_two": "value"
}
}
}, ('key', {'key_one': 'value', 'key_two': 'value'}), 0),
({
"type": "language-content",
"id": "language-content--b86bd89f-98bb-4fa9-8cb2-9ad421da981d",
"created": "2017-02-08T21:31:22.007Z",
"modified": "2017-02-08T21:31:22.007Z",
"object_ref": "campaign--12a111f0-b824-4baf-a224-83b80237a094",
"object_modified": "2017-02-08T21:31:22.007Z",
"contents": {
"de": {
"name": "Bank Angriff 1",
"description": "Weitere Informationen über Banküberfall"
},
"fr": {
"name": "Attaque Bank 1",
"description": "Plus d'informations sur la crise bancaire"
}
}
}, ('fr', {"name": "Attaque Bank 1", "description": "Plus d'informations sur la crise bancaire"}), 1)
])
def test_find_property_index(object, tuple_to_find, expected_index):
assert stix2.utils.find_property_index(
object,
[],
tuple_to_find
) == expected_index
@pytest.mark.parametrize('dict_value, tuple_to_find, expected_index', [
({
"contents": {
"de": {
"name": "Bank Angriff 1",
"description": "Weitere Informationen über Banküberfall"
},
"fr": {
"name": "Attaque Bank 1",
"description": "Plus d'informations sur la crise bancaire"
},
"es": {
"name": "Ataque al Banco",
"description": "Mas informacion sobre el ataque al banco"
}
}
}, ('es', {"name": "Ataque al Banco", "description": "Mas informacion sobre el ataque al banco"}), 1), # Sorted alphabetically
({
'my_list': [
{"key_one": 1},
{"key_two": 2}
]
}, ('key_one', 1), 0)
])
def test_iterate_over_values(dict_value, tuple_to_find, expected_index):
assert stix2.utils._iterate_over_values(dict_value.values(), tuple_to_find) == expected_index

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@ -165,48 +165,87 @@ def _get_dict(data):
raise ValueError("Cannot convert '%s' to dictionary." % str(data))
def _iterate_over_values(dict_values, tuple_to_find):
"""Loop recursively over dictionary values"""
from .base import _STIXBase
for pv in dict_values:
if isinstance(pv, list):
for item in pv:
if isinstance(item, _STIXBase):
index = find_property_index(
item,
item.object_properties(),
tuple_to_find
)
if index is not None:
return index
elif isinstance(item, dict):
for idx, val in enumerate(sorted(item)):
if (tuple_to_find[0] == val and
item.get(val) == tuple_to_find[1]):
return idx
elif isinstance(pv, dict):
if pv.get(tuple_to_find[0]) is not None:
for idx, item in enumerate(sorted(pv.keys())):
if ((item == tuple_to_find[0] and str.isdigit(item)) and
(pv[item] == tuple_to_find[1])):
return int(tuple_to_find[0])
elif pv[item] == tuple_to_find[1]:
return idx
for item in pv.values():
if isinstance(item, _STIXBase):
index = find_property_index(
item,
item.object_properties(),
tuple_to_find
)
if index is not None:
return index
elif isinstance(item, dict):
index = find_property_index(
item,
item.keys(),
tuple_to_find
)
if index is not None:
return index
def find_property_index(obj, properties, tuple_to_find):
"""Recursively find the property in the object model, return the index
according to the _properties OrderedDict. If it's a list look for
individual objects. Returns and integer indicating its location
according to the ``properties`` OrderedDict when working with `stix2`
objects. If it's a list look for individual objects. Returns and integer
indicating its location.
Notes:
This method is intended to pretty print `stix2` properties for better
visual feedback when working with the library.
Warnings:
This method may not be able to produce the same output if called
multiple times and makes a best effort attempt to print the properties
according to the STIX technical specification.
See Also:
py:meth:`stix2.base._STIXBase.serialize` for more information.
"""
from .base import _STIXBase
try:
if tuple_to_find[1] in obj._inner.values():
return properties.index(tuple_to_find[0])
if isinstance(obj, _STIXBase):
if tuple_to_find[1] in obj._inner.values():
return properties.index(tuple_to_find[0])
elif isinstance(obj, dict):
for idx, val in enumerate(sorted(obj)):
if (tuple_to_find[0] == val and
obj.get(val) == tuple_to_find[1]):
return idx
raise ValueError
except ValueError:
for pv in obj._inner.values():
if isinstance(pv, list):
for item in pv:
if isinstance(item, _STIXBase):
val = find_property_index(item,
item.object_properties(),
tuple_to_find)
if val is not None:
return val
elif isinstance(item, dict):
for idx, val in enumerate(sorted(item)):
if (tuple_to_find[0] == val and
item.get(val) == tuple_to_find[1]):
return idx
elif isinstance(pv, dict):
if pv.get(tuple_to_find[0]) is not None:
try:
return int(tuple_to_find[0])
except ValueError:
return len(tuple_to_find[0])
for item in pv.values():
if isinstance(item, _STIXBase):
val = find_property_index(item,
item.object_properties(),
tuple_to_find)
if val is not None:
return val
elif isinstance(item, dict) and tuple_to_find[0] in item:
for num, t in enumerate(item.keys(), start=1):
if t == tuple_to_find[0]:
return num
if isinstance(obj, _STIXBase):
return _iterate_over_values(obj._inner.values(), tuple_to_find)
elif isinstance(obj, dict):
return _iterate_over_values(obj.values(), tuple_to_find)
def new_version(data, **kwargs):