write down some of the semantic-equivalence work. WIP

master
Emmanuelle Vargas-Gonzalez 2019-07-26 16:01:45 -04:00
parent 7978a3e142
commit 93aa709b68
2 changed files with 125 additions and 0 deletions

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@ -63,5 +63,6 @@ setup(
},
extras_require={
'taxii': ['taxii2-client'],
'semantic': ['pyjarowinkler'],
},
)

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@ -186,3 +186,127 @@ class Environment(DataStoreMixin):
return self.get(creator_id)
else:
return None
def semantically_equivalent(self, obj1, obj2):
"""This method is meant to verify if two objects of the same type are
semantically equivalent.
Args:
obj1: A stix2 object instance
obj2: A stix2 object instance
Returns:
float: A number between 0.0 and 1.0 as a measurement of equivalence.
Warnings:
Not all objects are supported.
Notes:
This implementation follows the Committee Note on semantic equivalence.
see `the Committee Note <link here>`__.
"""
equivalence_score = 0.0
type1, type2 = obj1["type"], obj2["type"]
if type1 != type2:
raise ValueError('The objects to compare must be of the same type!')
if obj1.get("spec_version", "") != obj2.get("spec_version", ""):
raise ValueError('The objects to compare must be of the same spec version!')
if type1 == "attack-pattern":
if _check_property_present("name", obj1, obj2):
_partial_string_based(obj1["name"], obj2["name"])
if _check_property_present("external_references", obj1, obj2):
_partial_external_reference_based(obj1["external_references"], obj2["external_references"])
elif type1 == "campaign":
if _check_property_present("name", obj1, obj2):
_partial_string_based(obj1["name"], obj2["name"])
if _check_property_present("aliases", obj1, obj2):
_partial_list_based(obj1["aliases"], obj2["aliases"])
elif type1 == "course-of-action":
pass
elif type1 == "identity":
if _check_property_present("name", obj1, obj2):
_exact_match(obj1["name"], obj2["name"])
if _check_property_present("identity_class", obj1, obj2):
_exact_match(obj1["identity_class"], obj2["identity_class"])
if _check_property_present("sectors", obj1, obj2):
_partial_list_based(obj1["sectors"], obj2["sectors"])
elif type1 == "indicator":
if _check_property_present("indicator_types", obj1, obj2):
_partial_list_based(obj1["indicator_types"], obj2["indicator_types"])
if _check_property_present("pattern", obj1, obj2):
pass # TODO: needs to be done
if _check_property_present("valid_from", obj1, obj2):
_partial_timestamp_based(obj1["valid_from"], obj2["valid_from"])
elif type1 == "instrusion-set":
pass
elif type1 == "location":
pass
elif type1 == "malware":
if _check_property_present("malware_types", obj1, obj2):
_partial_list_based(obj1["malware_types"], obj2["malware_types"])
if _check_property_present("name", obj1, obj2):
_partial_string_based(obj1["name"], obj2["name"])
elif type1 == "observed-data":
pass
elif type1 == "report":
pass
elif type1 == "threat-actor":
if _check_property_present("name", obj1, obj2):
_partial_string_based(obj1["name"], obj2["name"])
if _check_property_present("threat_actor_types", obj1, obj2):
_partial_list_based(obj1["threat_actor_types"], obj2["threat_actor_types"])
if _check_property_present("aliases", obj1, obj2):
_partial_list_based(obj1["aliases"], obj2["aliases"])
elif type1 == "tool":
if _check_property_present("tool_types", obj1, obj2):
_partial_list_based(obj1["tool_types"], obj2["tool_types"])
if _check_property_present("name", obj1, obj2):
_partial_string_based(obj1["name"], obj2["name"])
elif type1 == "vulnerability":
if _check_property_present("name", obj1, obj2):
_partial_string_based(obj1["name"], obj2["name"])
if _check_property_present("external_references", obj1, obj2):
_partial_external_reference_based(obj1["external_references"], obj2["external_references"])
# TODO: need to actually calculate the value
return equivalence_score
def _check_property_present(prop, obj1, obj2):
if prop in obj1 and prop in obj2:
return True
return False
def _partial_timestamp_based(t1, t2):
from .utils import parse_into_datetime
tdelta = 1 # One day...
stix_t1, stix_t2 = parse_into_datetime(t1), parse_into_datetime(t2)
return 1 - min(abs(stix_t1.timestamp() - stix_t2.timestamp()) / (86400 * tdelta), 1)
def _partial_list_based(l1, l2):
l1_set, l2_set = set(l1), set(l2)
return len(l1_set.intersection(l2_set)) / max(len(l1_set), len(l2_set))
def _exact_match(val1, val2):
if val1 == val2:
return 1.0
return 0.0
def _partial_string_based(str1, str2):
from pyjarowinkler import distance
return distance.get_jaro_distance(str1, str2)
def _partial_external_reference_based(refs1, refs2):
pass # TODO: needs to be done
def _partial_location_distance(loc1, loc2):
pass # TODO: needs to be done