Remove unnecessary functions
Desai, Kartikey H
Chris Lenk
parent
f5d199bedf
commit
2b180c40b5
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@ -505,71 +505,6 @@ def partial_location_distance(lat1, long1, lat2, long2, threshold):
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return result
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def _attack_pattern_checks(obj1, obj2, **weights):
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matching_score = 0.0
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sum_weights = 0.0
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if check_property_present("name", obj1, obj2):
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w = weights["name"]
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contributing_score = w * partial_string_based(obj1["name"], obj2["name"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'name' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("external_references", obj1, obj2):
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w = weights["external_references"]
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contributing_score = (
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w * partial_external_reference_based(obj1["external_references"], obj2["external_references"])
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)
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'external_references' check -- weight: %s, contributing score: %s", w, contributing_score)
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logger.debug("Matching Score: %s, Sum of Weights: %s", matching_score, sum_weights)
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return matching_score, sum_weights
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def _campaign_checks(obj1, obj2, **weights):
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matching_score = 0.0
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sum_weights = 0.0
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if check_property_present("name", obj1, obj2):
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w = weights["name"]
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contributing_score = w * partial_string_based(obj1["name"], obj2["name"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'name' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("aliases", obj1, obj2):
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w = weights["aliases"]
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contributing_score = w * partial_list_based(obj1["aliases"], obj2["aliases"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'aliases' check -- weight: %s, contributing score: %s", w, contributing_score)
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logger.debug("Matching Score: %s, Sum of Weights: %s", matching_score, sum_weights)
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return matching_score, sum_weights
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def _identity_checks(obj1, obj2, **weights):
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matching_score = 0.0
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sum_weights = 0.0
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if check_property_present("name", obj1, obj2):
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w = weights["name"]
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contributing_score = w * exact_match(obj1["name"], obj2["name"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'name' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("identity_class", obj1, obj2):
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w = weights["identity_class"]
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contributing_score = w * exact_match(obj1["identity_class"], obj2["identity_class"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'identity_class' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("sectors", obj1, obj2):
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w = weights["sectors"]
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contributing_score = w * partial_list_based(obj1["sectors"], obj2["sectors"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'sectors' check -- weight: %s, contributing score: %s", w, contributing_score)
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logger.debug("Matching Score: %s, Sum of Weights: %s", matching_score, sum_weights)
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return matching_score, sum_weights
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def _indicator_checks(obj1, obj2, **weights):
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matching_score = 0.0
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sum_weights = 0.0
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@ -596,116 +531,3 @@ def _indicator_checks(obj1, obj2, **weights):
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logger.debug("'valid_from' check -- weight: %s, contributing score: %s", w, contributing_score)
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logger.debug("Matching Score: %s, Sum of Weights: %s", matching_score, sum_weights)
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return matching_score, sum_weights
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def _location_checks(obj1, obj2, **weights):
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matching_score = 0.0
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sum_weights = 0.0
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if check_property_present("latitude", obj1, obj2) and check_property_present("longitude", obj1, obj2):
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w = weights["longitude_latitude"]
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contributing_score = (
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w *
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partial_location_distance(obj1["latitude"], obj1["longitude"], obj2["latitude"], obj2["longitude"], weights["threshold"])
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)
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'longitude_latitude' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("region", obj1, obj2):
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w = weights["region"]
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contributing_score = w * exact_match(obj1["region"], obj2["region"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'region' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("country", obj1, obj2):
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w = weights["country"]
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contributing_score = w * exact_match(obj1["country"], obj2["country"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'country' check -- weight: %s, contributing score: %s", w, contributing_score)
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logger.debug("Matching Score: %s, Sum of Weights: %s", matching_score, sum_weights)
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return matching_score, sum_weights
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def _malware_checks(obj1, obj2, **weights):
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matching_score = 0.0
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sum_weights = 0.0
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if check_property_present("malware_types", obj1, obj2):
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w = weights["malware_types"]
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contributing_score = w * partial_list_based(obj1["malware_types"], obj2["malware_types"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'malware_types' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("name", obj1, obj2):
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w = weights["name"]
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contributing_score = w * partial_string_based(obj1["name"], obj2["name"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'name' check -- weight: %s, contributing score: %s", w, contributing_score)
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logger.debug("Matching Score: %s, Sum of Weights: %s", matching_score, sum_weights)
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return matching_score, sum_weights
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def _threat_actor_checks(obj1, obj2, **weights):
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matching_score = 0.0
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sum_weights = 0.0
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if check_property_present("name", obj1, obj2):
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w = weights["name"]
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contributing_score = w * partial_string_based(obj1["name"], obj2["name"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'name' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("threat_actor_types", obj1, obj2):
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w = weights["threat_actor_types"]
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contributing_score = w * partial_list_based(obj1["threat_actor_types"], obj2["threat_actor_types"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'threat_actor_types' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("aliases", obj1, obj2):
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w = weights["aliases"]
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contributing_score = w * partial_list_based(obj1["aliases"], obj2["aliases"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'aliases' check -- weight: %s, contributing score: %s", w, contributing_score)
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logger.debug("Matching Score: %s, Sum of Weights: %s", matching_score, sum_weights)
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return matching_score, sum_weights
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def _tool_checks(obj1, obj2, **weights):
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matching_score = 0.0
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sum_weights = 0.0
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if check_property_present("tool_types", obj1, obj2):
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w = weights["tool_types"]
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contributing_score = w * partial_list_based(obj1["tool_types"], obj2["tool_types"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'tool_types' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("name", obj1, obj2):
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w = weights["name"]
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contributing_score = w * partial_string_based(obj1["name"], obj2["name"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'name' check -- weight: %s, contributing score: %s", w, contributing_score)
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logger.debug("Matching Score: %s, Sum of Weights: %s", matching_score, sum_weights)
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return matching_score, sum_weights
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def _vulnerability_checks(obj1, obj2, **weights):
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matching_score = 0.0
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sum_weights = 0.0
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if check_property_present("name", obj1, obj2):
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w = weights["name"]
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contributing_score = w * partial_string_based(obj1["name"], obj2["name"])
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'name' check -- weight: %s, contributing score: %s", w, contributing_score)
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if check_property_present("external_references", obj1, obj2):
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w = weights["external_references"]
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contributing_score = w * partial_external_reference_based(
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obj1["external_references"],
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obj2["external_references"],
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)
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sum_weights += w
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matching_score += contributing_score
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logger.debug("'external_references' check -- weight: %s, contributing score: %s", w, contributing_score)
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logger.debug("Matching Score: %s, Sum of Weights: %s", matching_score, sum_weights)
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return matching_score, sum_weights
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