2018-11-28 22:51:00 +01:00
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"""Utility functions and classes for the STIX2 library."""
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2021-01-20 01:57:05 +01:00
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import collections.abc
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2017-02-10 22:35:02 +01:00
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import datetime as dt
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2020-03-17 01:25:38 +01:00
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import enum
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2017-05-05 16:53:28 +02:00
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import json
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2020-03-19 15:40:35 +01:00
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import re
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2017-05-05 16:53:28 +02:00
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2017-05-10 00:03:46 +02:00
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import pytz
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2020-03-17 23:26:57 +01:00
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import six
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2017-04-25 00:29:56 +02:00
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2021-01-16 01:12:14 +01:00
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import stix2.version
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2021-01-07 00:59:48 +01:00
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try:
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2021-01-12 02:35:41 +01:00
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import stix2.registry as mappings
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2021-01-07 00:59:48 +01:00
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except ImportError:
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import stix2.core as mappings
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2018-10-26 03:03:27 +02:00
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2017-05-19 19:51:59 +02:00
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# Sentinel value for properties that should be set to the current time.
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2017-02-10 22:35:02 +01:00
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# We can't use the standard 'default' approach, since if there are multiple
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# timestamps in a single object, the timestamps will vary by a few microseconds.
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NOW = object()
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2020-03-19 15:40:35 +01:00
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PREFIX_21_REGEX = re.compile(r'^[a-z].*')
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2018-04-13 20:52:00 +02:00
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2020-05-20 21:06:53 +02:00
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_TIMESTAMP_FORMAT = "%Y-%m-%dT%H:%M:%SZ"
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_TIMESTAMP_FORMAT_FRAC = "%Y-%m-%dT%H:%M:%S.%fZ"
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2017-02-10 22:35:02 +01:00
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2020-03-17 01:25:38 +01:00
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class Precision(enum.Enum):
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"""
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Timestamp format precisions.
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"""
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# auto() wasn't introduced until Python 3.6.
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ANY = 1
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SECOND = 2
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MILLISECOND = 3
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class PrecisionConstraint(enum.Enum):
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"""
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Timestamp precision constraints. These affect how the Precision
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values are applied when formatting a timestamp.
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These constraints don't really make sense with the ANY precision, so they
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have no effect in that case.
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"""
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EXACT = 1 # format must have exactly the given precision
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MIN = 2 # format must have at least the given precision
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# no need for a MAX constraint yet
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def _to_enum(value, enum_type, enum_default=None):
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"""
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Detect and convert strings to enums and None to a default enum. This
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allows use of strings and None in APIs, while enforcing the enum type: if
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you use a string, it must name a valid enum value. This implementation is
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case-insensitive.
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:param value: A value to be interpreted as an enum (string, Enum instance,
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or None). If an Enum instance, it must be an instance of enum_type.
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:param enum_type: The enum type which strings will be interpreted against
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:param enum_default: The default enum to use if value is None. Must be
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an instance of enum_type, or None. If None, you are disallowing a
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default and requiring that value be non-None.
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:return: An instance of enum_type
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:raises TypeError: If value was neither an instance of enum_type, None, nor
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a string
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:raises KeyError: If value was a string which couldn't be interpreted as an
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enum value from enum_type
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"""
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assert enum_default is None or isinstance(enum_default, enum_type)
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if not isinstance(value, enum_type):
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if value is None and enum_default is not None:
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value = enum_default
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elif isinstance(value, six.string_types):
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value = enum_type[value.upper()]
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else:
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2021-01-13 23:52:15 +01:00
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raise TypeError(
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"Not a valid {}: {}".format(
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enum_type.__name__, value,
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),
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)
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2020-03-17 01:25:38 +01:00
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return value
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2017-06-23 00:47:35 +02:00
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class STIXdatetime(dt.datetime):
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2020-03-17 01:25:38 +01:00
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"""
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Bundle a datetime with some format-related metadata, so that JSON
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serialization has the info it needs to produce compliant timestamps.
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"""
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2017-06-23 00:47:35 +02:00
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def __new__(cls, *args, **kwargs):
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2020-03-17 01:25:38 +01:00
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precision = _to_enum(
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kwargs.pop("precision", Precision.ANY),
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2020-03-17 23:26:57 +01:00
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Precision,
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2020-03-17 01:25:38 +01:00
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)
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precision_constraint = _to_enum(
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kwargs.pop("precision_constraint", PrecisionConstraint.EXACT),
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2020-03-17 23:26:57 +01:00
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PrecisionConstraint,
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2020-03-17 01:25:38 +01:00
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)
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2017-06-23 00:47:35 +02:00
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if isinstance(args[0], dt.datetime): # Allow passing in a datetime object
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dttm = args[0]
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2018-07-13 17:10:05 +02:00
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args = (
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dttm.year, dttm.month, dttm.day, dttm.hour, dttm.minute,
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dttm.second, dttm.microsecond, dttm.tzinfo,
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)
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2017-06-28 21:55:23 +02:00
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# self will be an instance of STIXdatetime, not dt.datetime
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2017-06-23 00:47:35 +02:00
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self = dt.datetime.__new__(cls, *args, **kwargs)
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self.precision = precision
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2020-03-17 01:25:38 +01:00
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self.precision_constraint = precision_constraint
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2017-06-23 00:47:35 +02:00
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return self
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2017-08-11 21:04:58 +02:00
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def __repr__(self):
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return "'%s'" % format_datetime(self)
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2017-06-23 00:47:35 +02:00
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2017-09-29 17:24:19 +02:00
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def deduplicate(stix_obj_list):
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2017-11-02 12:48:37 +01:00
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"""Deduplicate a list of STIX objects to a unique set.
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2017-09-29 17:24:19 +02:00
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Reduces a set of STIX objects to unique set by looking
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at 'id' and 'modified' fields - as a unique object version
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is determined by the combination of those fields
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Note: Be aware, as can be seen in the implementation
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of deduplicate(),that if the "stix_obj_list" argument has
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multiple STIX objects of the same version, the last object
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version found in the list will be the one that is returned.
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Args:
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stix_obj_list (list): list of STIX objects (dicts)
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Returns:
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A list with a unique set of the passed list of STIX objects.
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"""
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unique_objs = {}
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for obj in stix_obj_list:
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2020-08-18 00:38:29 +02:00
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ver = obj.get("modified") or obj.get("created")
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if ver is None:
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unique_objs[obj["id"]] = obj
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else:
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unique_objs[(obj['id'], ver)] = obj
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2017-09-29 17:24:19 +02:00
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return list(unique_objs.values())
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2017-02-10 22:35:02 +01:00
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def get_timestamp():
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2017-09-22 20:54:21 +02:00
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"""Return a STIX timestamp of the current date and time."""
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2017-06-23 00:47:35 +02:00
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return STIXdatetime.now(tz=pytz.UTC)
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2017-02-10 22:35:02 +01:00
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def format_datetime(dttm):
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2017-09-22 20:54:21 +02:00
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"""Convert a datetime object into a valid STIX timestamp string.
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1. Convert to timezone-aware
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2. Convert to UTC
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3. Format in ISO format
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4. Ensure correct precision
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2020-03-17 01:25:38 +01:00
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a. Add subsecond value if warranted, according to precision settings
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2017-09-22 20:54:21 +02:00
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5. Add "Z"
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"""
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2017-04-17 16:48:13 +02:00
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2017-05-22 17:11:42 +02:00
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if dttm.tzinfo is None or dttm.tzinfo.utcoffset(dttm) is None:
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2017-04-17 19:16:14 +02:00
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# dttm is timezone-naive; assume UTC
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2017-05-22 17:11:42 +02:00
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zoned = pytz.utc.localize(dttm)
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else:
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zoned = dttm.astimezone(pytz.utc)
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2018-06-30 00:38:04 +02:00
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ts = zoned.strftime('%Y-%m-%dT%H:%M:%S')
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2020-03-17 01:25:38 +01:00
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precision = getattr(dttm, 'precision', Precision.ANY)
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precision_constraint = getattr(
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2020-03-17 23:26:57 +01:00
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dttm, 'precision_constraint', PrecisionConstraint.EXACT,
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2020-03-17 01:25:38 +01:00
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)
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frac_seconds_str = ""
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if precision == Precision.ANY:
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# No need to truncate; ignore constraint
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if zoned.microsecond:
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frac_seconds_str = "{:06d}".format(zoned.microsecond).rstrip("0")
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elif precision == Precision.SECOND:
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if precision_constraint == PrecisionConstraint.MIN:
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# second precision, or better. Winds up being the same as ANY:
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# just use all our digits
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if zoned.microsecond:
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frac_seconds_str = "{:06d}".format(zoned.microsecond)\
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.rstrip("0")
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# exact: ignore microseconds entirely
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else:
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# precision == millisecond
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if precision_constraint == PrecisionConstraint.EXACT:
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# can't rstrip() here or we may lose precision
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frac_seconds_str = "{:06d}".format(zoned.microsecond)[:3]
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else:
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# millisecond precision, or better. So we can rstrip() zeros, but
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# only to a length of at least 3 digits (ljust() adds zeros back,
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# if it stripped too far.)
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frac_seconds_str = "{:06d}"\
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.format(zoned.microsecond)\
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.rstrip("0")\
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.ljust(3, "0")
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ts = "{}{}{}Z".format(
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ts,
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"." if frac_seconds_str else "",
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2020-03-17 23:26:57 +01:00
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frac_seconds_str,
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2020-03-17 01:25:38 +01:00
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)
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return ts
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def parse_into_datetime(
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value, precision=Precision.ANY,
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2020-03-17 23:26:57 +01:00
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precision_constraint=PrecisionConstraint.EXACT,
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2020-03-17 01:25:38 +01:00
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):
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2017-09-22 20:54:21 +02:00
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"""
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2020-03-17 01:25:38 +01:00
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Parse a value into a valid STIX timestamp object. Also, optionally adjust
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precision of fractional seconds. This allows alignment with JSON
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serialization requirements, and helps ensure we're not using extra
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precision which would be lost upon JSON serialization. The precision
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info will be embedded in the returned object, so that JSON serialization
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will format it correctly.
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:param value: A datetime.datetime or datetime.date instance, or a string
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:param precision: A precision value: either an instance of the Precision
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enum, or a string naming one of the enum values (case-insensitive)
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:param precision_constraint: A precision constraint value: either an
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instance of the PrecisionConstraint enum, or a string naming one of
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the enum values (case-insensitive)
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:return: A STIXdatetime instance, which is a datetime but also carries the
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precision info necessary to properly JSON-serialize it.
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"""
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precision = _to_enum(precision, Precision)
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precision_constraint = _to_enum(precision_constraint, PrecisionConstraint)
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2017-05-04 22:34:08 +02:00
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if isinstance(value, dt.date):
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if hasattr(value, 'hour'):
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2017-06-23 00:47:35 +02:00
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ts = value
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2017-05-04 22:34:08 +02:00
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else:
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# Add a time component
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2017-06-23 00:47:35 +02:00
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ts = dt.datetime.combine(value, dt.time(0, 0, tzinfo=pytz.utc))
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2017-05-04 22:34:08 +02:00
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else:
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2017-06-23 00:47:35 +02:00
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# value isn't a date or datetime object so assume it's a string
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2020-05-20 21:06:53 +02:00
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fmt = _TIMESTAMP_FORMAT_FRAC if "." in value else _TIMESTAMP_FORMAT
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2017-06-23 00:47:35 +02:00
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try:
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2020-05-20 21:06:53 +02:00
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parsed = dt.datetime.strptime(value, fmt)
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2017-06-23 00:47:35 +02:00
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except (TypeError, ValueError):
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# Unknown format
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2018-07-13 17:10:05 +02:00
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raise ValueError(
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"must be a datetime object, date object, or "
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"timestamp string in a recognizable format.",
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)
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2017-06-23 00:47:35 +02:00
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if parsed.tzinfo:
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ts = parsed.astimezone(pytz.utc)
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else:
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# Doesn't have timezone info in the string; assume UTC
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ts = pytz.utc.localize(parsed)
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# Ensure correct precision
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2020-03-17 01:25:38 +01:00
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if precision == Precision.SECOND:
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if precision_constraint == PrecisionConstraint.EXACT:
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2017-06-28 21:55:23 +02:00
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ts = ts.replace(microsecond=0)
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2020-03-17 01:25:38 +01:00
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# else, no need to modify fractional seconds
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elif precision == Precision.MILLISECOND:
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if precision_constraint == PrecisionConstraint.EXACT:
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us = (ts.microsecond // 1000) * 1000
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ts = ts.replace(microsecond=us)
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# else: at least millisecond precision: the constraint will affect JSON
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# formatting, but there's nothing we need to do here.
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# else, precision == Precision.ANY: nothing for us to do.
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return STIXdatetime(
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2020-03-17 23:26:57 +01:00
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ts, precision=precision, precision_constraint=precision_constraint,
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2020-03-17 01:25:38 +01:00
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)
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2017-05-04 22:34:08 +02:00
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2018-04-13 17:08:03 +02:00
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def _get_dict(data):
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2017-04-19 20:32:56 +02:00
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"""Return data as a dictionary.
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2017-09-22 20:54:21 +02:00
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2017-04-19 20:32:56 +02:00
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Input can be a dictionary, string, or file-like object.
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"""
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if type(data) is dict:
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2017-05-16 15:25:08 +02:00
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return data
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2017-04-19 20:32:56 +02:00
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else:
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try:
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2017-05-16 15:25:08 +02:00
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return json.loads(data)
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2017-04-19 20:32:56 +02:00
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except TypeError:
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2017-05-16 15:25:08 +02:00
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pass
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try:
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return json.load(data)
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except AttributeError:
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pass
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try:
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return dict(data)
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except (ValueError, TypeError):
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raise ValueError("Cannot convert '%s' to dictionary." % str(data))
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2017-08-31 18:28:07 +02:00
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2017-11-02 12:48:37 +01:00
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def get_class_hierarchy_names(obj):
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"""Given an object, return the names of the class hierarchy."""
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names = []
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for cls in obj.__class__.__mro__:
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|
|
names.append(cls.__name__)
|
|
|
|
return names
|
2017-11-20 04:11:44 +01:00
|
|
|
|
2017-11-20 05:00:42 +01:00
|
|
|
|
2017-11-20 04:11:44 +01:00
|
|
|
def get_type_from_id(stix_id):
|
|
|
|
return stix_id.split('--', 1)[0]
|
2018-10-26 03:03:27 +02:00
|
|
|
|
|
|
|
|
2021-01-20 01:57:05 +01:00
|
|
|
def detect_spec_version(stix_dict):
|
|
|
|
"""
|
|
|
|
Given a dict representing a STIX object, try to detect what spec version
|
|
|
|
it is likely to comply with.
|
|
|
|
|
|
|
|
:param stix_dict: A dict with some STIX content. Must at least have a
|
|
|
|
"type" property.
|
|
|
|
:return: A STIX version in "X.Y" format
|
|
|
|
"""
|
|
|
|
|
|
|
|
obj_type = stix_dict["type"]
|
|
|
|
|
|
|
|
if 'spec_version' in stix_dict:
|
|
|
|
# For STIX 2.0, applies to bundles only.
|
|
|
|
# For STIX 2.1+, applies to SCOs, SDOs, SROs, and markings only.
|
|
|
|
v = stix_dict['spec_version']
|
|
|
|
elif "id" not in stix_dict:
|
|
|
|
# Only 2.0 SCOs don't have ID properties
|
|
|
|
v = "2.0"
|
|
|
|
elif obj_type == 'bundle':
|
|
|
|
# Bundle without a spec_version property: must be 2.1. But to
|
|
|
|
# future-proof, use max version over all contained SCOs, with 2.1
|
|
|
|
# minimum.
|
|
|
|
v = max(
|
|
|
|
"2.1",
|
|
|
|
max(
|
|
|
|
detect_spec_version(obj) for obj in stix_dict["objects"]
|
|
|
|
),
|
|
|
|
)
|
|
|
|
elif obj_type in mappings.STIX2_OBJ_MAPS["2.1"]["observables"]:
|
|
|
|
# Non-bundle object with an ID and without spec_version. Could be a
|
|
|
|
# 2.1 SCO or 2.0 SDO/SRO/marking. Check for 2.1 SCO...
|
|
|
|
v = "2.1"
|
|
|
|
else:
|
|
|
|
# Not a 2.1 SCO; must be a 2.0 object.
|
|
|
|
v = "2.0"
|
|
|
|
|
|
|
|
return v
|
|
|
|
|
|
|
|
|
2021-01-07 00:59:48 +01:00
|
|
|
def _stix_type_of(value):
|
|
|
|
"""
|
|
|
|
Get a STIX type from the given value: if a STIX ID is passed, the type
|
|
|
|
prefix is extracted; if string which is not a STIX ID is passed, it is
|
|
|
|
assumed to be a STIX type and is returned; otherwise it is assumed to be a
|
|
|
|
mapping with a "type" property, and the value of that property is returned.
|
|
|
|
|
|
|
|
:param value: A mapping with a "type" property, or a STIX ID or type
|
|
|
|
as a string
|
|
|
|
:return: A STIX type
|
|
|
|
"""
|
|
|
|
if isinstance(value, str):
|
|
|
|
if "--" in value:
|
|
|
|
type_ = get_type_from_id(value)
|
|
|
|
else:
|
|
|
|
type_ = value
|
|
|
|
else:
|
|
|
|
type_ = value["type"]
|
|
|
|
|
|
|
|
return type_
|
|
|
|
|
|
|
|
|
2021-01-16 01:12:14 +01:00
|
|
|
def is_sdo(value, stix_version=stix2.version.DEFAULT_VERSION):
|
2021-01-07 00:59:48 +01:00
|
|
|
"""
|
2021-01-20 01:57:05 +01:00
|
|
|
Determine whether the given object, type, or ID is/is for an SDO of the
|
|
|
|
given STIX version. If value is a type or ID, this just checks whether
|
|
|
|
the type was registered as an SDO in the given STIX version. If a mapping,
|
|
|
|
*simple* STIX version inference is additionally done on the value, and the
|
|
|
|
result is checked against stix_version. It does not attempt to fully
|
|
|
|
validate the value.
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
:param value: A mapping with a "type" property, or a STIX ID or type
|
|
|
|
as a string
|
|
|
|
:param stix_version: A STIX version as a string
|
2021-01-20 01:57:05 +01:00
|
|
|
:return: True if the type of the given value is an SDO type of the given
|
|
|
|
version; False if not
|
2021-01-07 00:59:48 +01:00
|
|
|
"""
|
2021-01-20 01:57:05 +01:00
|
|
|
|
|
|
|
result = True
|
|
|
|
if isinstance(value, collections.abc.Mapping):
|
|
|
|
value_stix_version = detect_spec_version(value)
|
|
|
|
if value_stix_version != stix_version:
|
|
|
|
result = False
|
|
|
|
|
|
|
|
if result:
|
|
|
|
cls_maps = mappings.STIX2_OBJ_MAPS[stix_version]
|
|
|
|
type_ = _stix_type_of(value)
|
|
|
|
result = type_ in cls_maps["objects"] and type_ not in {
|
|
|
|
"relationship", "sighting", "marking-definition", "bundle",
|
|
|
|
"language-content"
|
|
|
|
}
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
return result
|
|
|
|
|
|
|
|
|
2021-01-16 01:12:14 +01:00
|
|
|
def is_sco(value, stix_version=stix2.version.DEFAULT_VERSION):
|
2021-01-07 00:59:48 +01:00
|
|
|
"""
|
2021-01-20 01:57:05 +01:00
|
|
|
Determine whether the given object, type, or ID is/is for an SCO of the
|
|
|
|
given STIX version. If value is a type or ID, this just checks whether
|
|
|
|
the type was registered as an SCO in the given STIX version. If a mapping,
|
|
|
|
*simple* STIX version inference is additionally done on the value, and the
|
|
|
|
result is checked against stix_version. It does not attempt to fully
|
|
|
|
validate the value.
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
:param value: A mapping with a "type" property, or a STIX ID or type
|
|
|
|
as a string
|
|
|
|
:param stix_version: A STIX version as a string
|
2021-01-20 01:57:05 +01:00
|
|
|
:return: True if the type of the given value is an SCO type of the given
|
|
|
|
version; False if not
|
2021-01-07 00:59:48 +01:00
|
|
|
"""
|
2021-01-20 01:57:05 +01:00
|
|
|
|
|
|
|
result = True
|
|
|
|
if isinstance(value, collections.abc.Mapping):
|
|
|
|
value_stix_version = detect_spec_version(value)
|
|
|
|
if value_stix_version != stix_version:
|
|
|
|
result = False
|
|
|
|
|
|
|
|
if result:
|
|
|
|
cls_maps = mappings.STIX2_OBJ_MAPS[stix_version]
|
|
|
|
type_ = _stix_type_of(value)
|
|
|
|
result = type_ in cls_maps["observables"]
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
return result
|
|
|
|
|
|
|
|
|
2021-01-16 01:12:14 +01:00
|
|
|
def is_sro(value, stix_version=stix2.version.DEFAULT_VERSION):
|
2021-01-07 00:59:48 +01:00
|
|
|
"""
|
2021-01-20 01:57:05 +01:00
|
|
|
Determine whether the given object, type, or ID is/is for an SRO of the
|
|
|
|
given STIX version. If value is a type or ID, this just checks whether
|
|
|
|
the type was registered as an SRO in the given STIX version. If a mapping,
|
|
|
|
*simple* STIX version inference is additionally done on the value, and the
|
|
|
|
result is checked against stix_version. It does not attempt to fully
|
|
|
|
validate the value.
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
:param value: A mapping with a "type" property, or a STIX ID or type
|
|
|
|
as a string
|
|
|
|
:param stix_version: A STIX version as a string
|
2021-01-20 01:57:05 +01:00
|
|
|
:return: True if the type of the given value is an SRO type of the given
|
|
|
|
version; False if not
|
2021-01-07 00:59:48 +01:00
|
|
|
"""
|
|
|
|
|
2021-01-20 01:57:05 +01:00
|
|
|
result = True
|
|
|
|
if isinstance(value, collections.abc.Mapping):
|
|
|
|
value_stix_version = detect_spec_version(value)
|
|
|
|
if value_stix_version != stix_version:
|
|
|
|
result = False
|
|
|
|
|
|
|
|
if result:
|
|
|
|
# No need to check registration in this case
|
|
|
|
type_ = _stix_type_of(value)
|
|
|
|
result = type_ in ("sighting", "relationship")
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
return result
|
|
|
|
|
|
|
|
|
2021-01-16 01:12:14 +01:00
|
|
|
def is_object(value, stix_version=stix2.version.DEFAULT_VERSION):
|
2021-01-07 00:59:48 +01:00
|
|
|
"""
|
|
|
|
Determine whether an object, type, or ID is/is for any STIX object. This
|
2021-01-20 01:57:05 +01:00
|
|
|
includes all SDOs, SCOs, meta-objects, and bundle. If value is a type or
|
|
|
|
ID, this just checks whether the type was registered in the given STIX
|
|
|
|
version. If a mapping, *simple* STIX version inference is additionally
|
|
|
|
done on the value, and the result is checked against stix_version. It does
|
|
|
|
not attempt to fully validate the value.
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
:param value: A mapping with a "type" property, or a STIX ID or type
|
|
|
|
as a string
|
|
|
|
:param stix_version: A STIX version as a string
|
|
|
|
:return: True if the type of the given value is a valid STIX type with
|
|
|
|
respect to the given STIX version; False if not
|
|
|
|
"""
|
2021-01-20 01:57:05 +01:00
|
|
|
|
|
|
|
result = True
|
|
|
|
if isinstance(value, collections.abc.Mapping):
|
|
|
|
value_stix_version = detect_spec_version(value)
|
|
|
|
if value_stix_version != stix_version:
|
|
|
|
result = False
|
|
|
|
|
|
|
|
if result:
|
|
|
|
cls_maps = mappings.STIX2_OBJ_MAPS[stix_version]
|
|
|
|
type_ = _stix_type_of(value)
|
|
|
|
result = type_ in cls_maps["observables"] \
|
|
|
|
or type_ in cls_maps["objects"]
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
return result
|
|
|
|
|
|
|
|
|
2021-01-16 01:12:14 +01:00
|
|
|
def is_marking(value, stix_version=stix2.version.DEFAULT_VERSION):
|
2021-01-20 01:57:05 +01:00
|
|
|
"""
|
|
|
|
Determine whether the given object, type, or ID is/is for an marking
|
|
|
|
definition of the given STIX version. If value is a type or ID, this just
|
|
|
|
checks whether the type was registered as an SDO in the given STIX version.
|
|
|
|
If a mapping, *simple* STIX version inference is additionally done on the
|
|
|
|
value, and the result is checked against stix_version. It does not attempt
|
|
|
|
to fully validate the value.
|
2018-10-26 03:03:27 +02:00
|
|
|
|
2021-01-07 00:59:48 +01:00
|
|
|
:param value: A STIX object, object ID, or type as a string.
|
|
|
|
:param stix_version: A STIX version as a string
|
|
|
|
:return: True if the value is/is for a marking definition, False otherwise.
|
2018-10-26 03:03:27 +02:00
|
|
|
"""
|
|
|
|
|
2021-01-20 01:57:05 +01:00
|
|
|
result = True
|
|
|
|
if isinstance(value, collections.abc.Mapping):
|
|
|
|
value_stix_version = detect_spec_version(value)
|
|
|
|
if value_stix_version != stix_version:
|
|
|
|
result = False
|
|
|
|
|
|
|
|
if result:
|
|
|
|
# No need to check registration in this case
|
|
|
|
type_ = _stix_type_of(value)
|
|
|
|
result = type_ == "marking-definition"
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
return result
|
|
|
|
|
|
|
|
|
|
|
|
class STIXTypeClass(enum.Enum):
|
|
|
|
"""
|
|
|
|
Represents different classes of STIX type.
|
|
|
|
"""
|
|
|
|
SDO = 0
|
|
|
|
SCO = 1
|
|
|
|
SRO = 2
|
|
|
|
|
|
|
|
|
2021-01-16 01:12:14 +01:00
|
|
|
def is_stix_type(value, stix_version=stix2.version.DEFAULT_VERSION, *types):
|
2021-01-07 00:59:48 +01:00
|
|
|
"""
|
|
|
|
Determine whether the type of the given value satisfies the given
|
|
|
|
constraints. 'types' must contain STIX types as strings, and/or the
|
|
|
|
STIXTypeClass enum values. STIX types imply an exact match constraint;
|
|
|
|
STIXTypeClass enum values imply a more general constraint, that the object
|
|
|
|
or type be in that class of STIX type. These constraints are implicitly
|
|
|
|
OR'd together.
|
|
|
|
|
|
|
|
:param value: A mapping with a "type" property, or a STIX ID or type
|
|
|
|
as a string
|
|
|
|
:param stix_version: A STIX version as a string
|
|
|
|
:param types: A sequence of STIX type strings or STIXTypeClass enum values
|
|
|
|
:return: True if the object or type satisfies the constraints; False if not
|
|
|
|
"""
|
|
|
|
|
|
|
|
for type_ in types:
|
|
|
|
if type_ is STIXTypeClass.SDO:
|
|
|
|
result = is_sdo(value, stix_version)
|
|
|
|
elif type_ is STIXTypeClass.SCO:
|
|
|
|
result = is_sco(value, stix_version)
|
|
|
|
elif type_ is STIXTypeClass.SRO:
|
|
|
|
result = is_sro(value, stix_version)
|
|
|
|
else:
|
|
|
|
# Assume a string STIX type is given instead of a class enum,
|
|
|
|
# and just check for exact match.
|
|
|
|
obj_type = _stix_type_of(value)
|
2021-01-20 01:57:05 +01:00
|
|
|
result = obj_type == type_ and is_object(value, stix_version)
|
2021-01-07 00:59:48 +01:00
|
|
|
|
|
|
|
if result:
|
|
|
|
break
|
|
|
|
|
2018-10-26 03:03:27 +02:00
|
|
|
else:
|
2021-01-07 00:59:48 +01:00
|
|
|
result = False
|
2018-10-26 03:03:27 +02:00
|
|
|
|
|
|
|
return result
|