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Current File : //proc/self/root/proc/self/root/proc/self/root/lib64/python3.6/site-packages/setools/diff/mls.py |
# Copyright 2016, Tresys Technology, LLC # Copyright 2018, Chris PeBenito <pebenito@ieee.org> # # This file is part of SETools. # # SETools is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as # published by the Free Software Foundation, either version 2.1 of # the License, or (at your option) any later version. # # SETools is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with SETools. If not, see # <http://www.gnu.org/licenses/>. # from collections import defaultdict, namedtuple from .descriptors import DiffResultDescriptor from .difference import Difference, SymbolWrapper, Wrapper modified_cat_record = namedtuple("modified_category", ["added_aliases", "removed_aliases", "matched_aliases"]) modified_sens_record = namedtuple("modified_sensitivity", ["added_aliases", "removed_aliases", "matched_aliases"]) modified_level_record = namedtuple("modified_level", ["level", "added_categories", "removed_categories", "matched_categories"]) _cats_cache = defaultdict(dict) _sens_cache = defaultdict(dict) def category_wrapper_factory(category): """ Wrap category from the specified policy. This caches results to prevent duplicate wrapper objects in memory. """ try: return _cats_cache[category.policy][category] except KeyError: c = SymbolWrapper(category) _cats_cache[category.policy][category] = c return c def sensitivity_wrapper_factory(sensitivity): """ Wrap sensitivity from the specified policy. This caches results to prevent duplicate wrapper objects in memory. """ try: return _sens_cache[sensitivity.policy][sensitivity] except KeyError: c = SymbolWrapper(sensitivity) _sens_cache[sensitivity.policy][sensitivity] = c return c class CategoriesDifference(Difference): """Determine the difference in categories between two policies.""" added_categories = DiffResultDescriptor("diff_categories") removed_categories = DiffResultDescriptor("diff_categories") modified_categories = DiffResultDescriptor("diff_categories") def diff_categories(self): """Generate the difference in categories between the policies.""" self.log.info( "Generating category differences from {0.left_policy} to {0.right_policy}".format(self)) self.added_categories, self.removed_categories, matched_categories = self._set_diff( (category_wrapper_factory(c) for c in self.left_policy.categories()), (category_wrapper_factory(c) for c in self.right_policy.categories())) self.modified_categories = dict() for left_category, right_category in matched_categories: # Criteria for modified categories # 1. change to aliases added_aliases, removed_aliases, matched_aliases = self._set_diff( left_category.aliases(), right_category.aliases(), unwrap=False) if added_aliases or removed_aliases: self.modified_categories[left_category] = modified_cat_record(added_aliases, removed_aliases, matched_aliases) # # Internal functions # def _reset_diff(self): """Reset diff results on policy changes.""" self.log.debug("Resetting category differences") self.added_categories = None self.removed_categories = None self.modified_categories = None class SensitivitiesDifference(Difference): """Determine the difference in sensitivities between two policies.""" added_sensitivities = DiffResultDescriptor("diff_sensitivities") removed_sensitivities = DiffResultDescriptor("diff_sensitivities") modified_sensitivities = DiffResultDescriptor("diff_sensitivities") def diff_sensitivities(self): """Generate the difference in sensitivities between the policies.""" self.log.info( "Generating sensitivity differences from {0.left_policy} to {0.right_policy}". format(self)) self.added_sensitivities, self.removed_sensitivities, matched_sensitivities = \ self._set_diff( (sensitivity_wrapper_factory(s) for s in self.left_policy.sensitivities()), (sensitivity_wrapper_factory(s) for s in self.right_policy.sensitivities())) self.modified_sensitivities = dict() for left_sens, right_sens in matched_sensitivities: # Criteria for modified sensitivities # 1. change to aliases added_aliases, removed_aliases, matched_aliases = self._set_diff( left_sens.aliases(), right_sens.aliases(), unwrap=False) if added_aliases or removed_aliases: self.modified_sensitivities[left_sens] = modified_sens_record(added_aliases, removed_aliases, matched_aliases) # # Internal functions # def _reset_diff(self): """Reset diff results on policy changes.""" self.log.debug("Resetting sensitivity differences") self.added_sensitivities = None self.removed_sensitivities = None self.modified_sensitivities = None class LevelDeclsDifference(Difference): """Determine the difference in levels between two policies.""" added_levels = DiffResultDescriptor("diff_levels") removed_levels = DiffResultDescriptor("diff_levels") modified_levels = DiffResultDescriptor("diff_levels") def diff_levels(self): """Generate the difference in levels between the policies.""" self.log.info( "Generating level decl differences from {0.left_policy} to {0.right_policy}". format(self)) self.added_levels, self.removed_levels, matched_levels = \ self._set_diff( (LevelDeclWrapper(s) for s in self.left_policy.levels()), (LevelDeclWrapper(s) for s in self.right_policy.levels())) self.modified_levels = [] for left_level, right_level in matched_levels: # Criteria for modified levels # 1. change to allowed categories added_categories, removed_categories, matched_categories = self._set_diff( (category_wrapper_factory(c) for c in left_level.categories()), (category_wrapper_factory(c) for c in right_level.categories())) if added_categories or removed_categories: self.modified_levels.append(modified_level_record( left_level, added_categories, removed_categories, matched_categories)) # # Internal functions # def _reset_diff(self): """Reset diff results on policy changes.""" self.log.debug("Resetting sensitivity differences") self.added_levels = None self.removed_levels = None self.modified_levels = None class LevelDeclWrapper(Wrapper): """Wrap level declarations to allow comparisons.""" __slots__ = ("sensitivity") def __init__(self, level): self.origin = level self.sensitivity = sensitivity_wrapper_factory(level.sensitivity) self.key = hash(level) def __hash__(self): return self.key def __eq__(self, other): # non-MLS policies have no level declarations so there # should be no AttributeError possiblity here return self.sensitivity == other.sensitivity def __lt__(self, other): return self.sensitivity < other.sensitivity class LevelWrapper(Wrapper): """Wrap levels to allow comparisons.""" __slots__ = ("sensitivity", "categories") def __init__(self, level): self.origin = level self.sensitivity = sensitivity_wrapper_factory(level.sensitivity) self.categories = set(category_wrapper_factory(c) for c in level.categories()) def __hash__(self): return hash(self.origin) def __eq__(self, other): try: return self.sensitivity == other.sensitivity and \ self.categories == other.categories except AttributeError: # comparing an MLS policy to non-MLS policy will result in # other being None return False def __lt__(self, other): try: return self.sensitivity < other.sensitivity and \ self.categories < other.categories except AttributeError: # comparing an MLS policy to non-MLS policy will result in # other being None return False class RangeWrapper(Wrapper): """ Wrap ranges to allow comparisons. This only compares the low and high levels of the range. It does not detect additions/removals/modifications to levels between the low and high levels of the range. """ __slots__ = ("low", "high") def __init__(self, range_): self.origin = range_ self.low = LevelWrapper(range_.low) self.high = LevelWrapper(range_.high) def __hash__(self): return hash(self.origin) def __eq__(self, other): try: return self.low == other.low and \ self.high == other.high except AttributeError: # comparing an MLS policy to non-MLS policy will result in # other being None return False def __lt__(self, other): try: return self.low < other.low and \ self.high < other.high except AttributeError: # comparing an MLS policy to non-MLS policy will result in # other being None return False