230 lines
5.8 KiB
Python
230 lines
5.8 KiB
Python
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import collections
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import six
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from stix2 import exceptions
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def _evaluate_expression(obj, selector):
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"""
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Walks an SDO or SRO generating selectors to match against ``selector``. If
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a match is found and the the value of this property is present in the
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objects. Matching value of the property will be returned.
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Args:
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obj: An SDO or SRO object.
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selector: A string following the selector syntax.
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Returns:
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list: Values contained in matching property. Otherwise empty list.
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"""
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for items, value in iterpath(obj):
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path = ".".join(items)
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if path == selector and value:
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return [value]
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return []
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def _validate_selector(obj, selector):
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"""Internal method to evaluate each selector."""
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results = list(_evaluate_expression(obj, selector))
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if len(results) >= 1:
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return True
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def validate(obj, selectors):
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"""Given an SDO or SRO, check that each selector is valid."""
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if selectors:
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for s in selectors:
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if not _validate_selector(obj, s):
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raise exceptions.InvalidSelectorError(obj, s)
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return
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raise exceptions.InvalidSelectorError(obj, selectors)
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def convert_to_list(data):
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"""Convert input into a list for further processing."""
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if data is not None:
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if isinstance(data, list):
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return data
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else:
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return [data]
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def compress_markings(granular_markings):
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"""
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Compress granular markings list. If there is more than one marking
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identifier matches. It will collapse into a single granular marking.
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Examples:
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Input:
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[
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{
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"selectors": [
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"description"
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],
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"marking_ref": "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9"
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},
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{
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"selectors": [
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"name"
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],
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"marking_ref": "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9"
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}
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]
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Output:
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[
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{
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"selectors": [
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"description",
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"name"
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],
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"marking_ref": "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9"
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}
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]
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Args:
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granular_markings: The granular markings list property present in a
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SDO or SRO.
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Returns:
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list: A list with all markings collapsed.
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"""
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if not granular_markings:
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return
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map_ = collections.defaultdict(set)
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for granular_marking in granular_markings:
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if granular_marking.get("marking_ref"):
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map_[granular_marking.get("marking_ref")].update(granular_marking.get("selectors"))
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compressed = \
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[
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{"marking_ref": marking_ref, "selectors": sorted(selectors)}
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for marking_ref, selectors in six.iteritems(map_)
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]
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return compressed
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def expand_markings(granular_markings):
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"""
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Expands granular markings list. If there is more than one selector per
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granular marking. It will be expanded using the same marking_ref.
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Examples:
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Input:
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[
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{
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"selectors": [
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"description",
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"name"
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],
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"marking_ref": "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9"
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}
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]
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Output:
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[
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{
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"selectors": [
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"description"
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],
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"marking_ref": "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9"
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},
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{
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"selectors": [
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"name"
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],
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"marking_ref": "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9"
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}
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]
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Args:
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granular_markings: The granular markings list property present in a
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SDO or SRO.
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Returns:
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list: A list with all markings expanded.
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"""
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expanded = []
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for marking in granular_markings:
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selectors = marking.get("selectors")
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marking_ref = marking.get("marking_ref")
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expanded.extend(
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[
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{"marking_ref": marking_ref, "selectors": [selector]}
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for selector in selectors
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]
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)
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return expanded
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def build_granular_marking(granular_marking):
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"""Returns a dictionary with the required structure for a granular
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marking"""
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return {"granular_markings": expand_markings(granular_marking)}
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def iterpath(obj, path=None):
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"""
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Generator which walks the input ``obj`` model. Each iteration yields a
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tuple containing a list of ancestors and the property value.
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Args:
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obj: An SDO or SRO object.
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path: None, used recursively to store ancestors.
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Example:
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>>> for item in iterpath(obj):
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>>> print(item)
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(['type'], 'campaign')
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...
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(['cybox', 'objects', '[0]', 'hashes', 'sha1'], 'cac35ec206d868b7d7cb0b55f31d9425b075082b')
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Returns:
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tuple: Containing two items: a list of ancestors and the
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property value.
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"""
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if path is None:
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path = []
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for varname, varobj in iter(sorted(six.iteritems(obj))):
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path.append(varname)
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yield (path, varobj)
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if isinstance(varobj, dict):
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for item in iterpath(varobj, path):
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yield item
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elif isinstance(varobj, list):
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for item in varobj:
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index = "[{0}]".format(varobj.index(item))
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path.append(index)
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yield (path, item)
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if isinstance(item, dict):
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for descendant in iterpath(item, path):
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yield descendant
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path.pop()
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path.pop()
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