"""Python APIs for STIX 2 Pattern Semantic Equivalence. .. autosummary:: :toctree: pattern compare transform | """ import stix2 from stix2.equivalence.pattern.compare.observation import ( observation_expression_cmp, ) from stix2.equivalence.pattern.transform import ( ChainTransformer, SettleTransformer, ) from stix2.equivalence.pattern.transform.observation import ( AbsorptionTransformer, CanonicalizeComparisonExpressionsTransformer, DNFTransformer, FlattenTransformer, OrderDedupeTransformer, ) import stix2.pattern_visitor # Lazy-initialize _pattern_canonicalizer = None def _get_pattern_canonicalizer(): """ Get a canonicalization transformer for STIX patterns. :return: The transformer """ # The transformers are either stateless or contain no state which changes # with each use. So we can setup the transformers once and keep reusing # them. global _pattern_canonicalizer if not _pattern_canonicalizer: canonicalize_comp_expr = \ CanonicalizeComparisonExpressionsTransformer() obs_expr_flatten = FlattenTransformer() obs_expr_order = OrderDedupeTransformer() obs_expr_absorb = AbsorptionTransformer() obs_simplify = ChainTransformer( obs_expr_flatten, obs_expr_order, obs_expr_absorb, ) obs_settle_simplify = SettleTransformer(obs_simplify) obs_dnf = DNFTransformer() _pattern_canonicalizer = ChainTransformer( canonicalize_comp_expr, obs_settle_simplify, obs_dnf, obs_settle_simplify, ) return _pattern_canonicalizer def equivalent_patterns(pattern1, pattern2, stix_version=stix2.DEFAULT_VERSION): """ Determine whether two STIX patterns are semantically equivalent. :param pattern1: The first STIX pattern :param pattern2: The second STIX pattern :param stix_version: The STIX version to use for pattern parsing, as a string ("2.0", "2.1", etc). Defaults to library-wide default version. :return: True if the patterns are semantically equivalent; False if not """ patt_ast1 = stix2.pattern_visitor.create_pattern_object( pattern1, version=stix_version, ) patt_ast2 = stix2.pattern_visitor.create_pattern_object( pattern2, version=stix_version, ) pattern_canonicalizer = _get_pattern_canonicalizer() canon_patt1, _ = pattern_canonicalizer.transform(patt_ast1) canon_patt2, _ = pattern_canonicalizer.transform(patt_ast2) result = observation_expression_cmp(canon_patt1, canon_patt2) return result == 0 def find_equivalent_patterns( search_pattern, patterns, stix_version=stix2.DEFAULT_VERSION, ): """ Find patterns from a sequence which are equivalent to a given pattern. This is more efficient than using equivalent_patterns() in a loop, because it doesn't re-canonicalize the search pattern over and over. This works on an input iterable and is implemented as a generator of matches. So you can "stream" patterns in and matching patterns will be streamed out. :param search_pattern: A search pattern as a string :param patterns: An iterable over patterns as strings :param stix_version: The STIX version to use for pattern parsing, as a string ("2.0", "2.1", etc). Defaults to library-wide default version. :return: A generator iterator producing the semantically equivalent patterns """ search_pattern_ast = stix2.pattern_visitor.create_pattern_object( search_pattern, version=stix_version, ) pattern_canonicalizer = _get_pattern_canonicalizer() canon_search_pattern_ast, _ = pattern_canonicalizer.transform( search_pattern_ast, ) for pattern in patterns: pattern_ast = stix2.pattern_visitor.create_pattern_object( pattern, version=stix_version, ) canon_pattern_ast, _ = pattern_canonicalizer.transform(pattern_ast) result = observation_expression_cmp( canon_search_pattern_ast, canon_pattern_ast, ) if result == 0: yield pattern