Fix entropy problems with OS::Random::String
When generating a random string, once we had selected from the various required pools, we continued by selecting a pool at random and then selecting a character from that pool at random. This did not take into account the differing sizes of the available pools, nor the fact that the same character could appear in multiple pools, which resulted in a non-uniform probability distribution of characters. Since users mostly make use of this feature to generate default passwords for services they are deploying, this would result in the generated passwords having slightly less entropy than expected (and pathological cases were possible). Rectify this by always selecting non-constrained characters from a single combined pool, and by ensuring that each character appears only once in any pool we're selecting from. Since we also want to use this method to generate passwords for OpenStack Users, the new implementation is in a separate module in heat.common rather than mixed in with the resource's logic. Also, use a StringIO object to collect the characters rather than repeatedly appending to a string. Change-Id: Ia7b63e72c1e3c0649290caf4fea8a32f7f89560b Closes-Bug: #1757300 Related-Bug: #1666129 Related-Bug: #1444429
This commit is contained in:
parent
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6e16c051ba
109
heat/common/password_gen.py
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109
heat/common/password_gen.py
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import collections
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import random as random_module
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import string
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import six
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# NOTE(pas-ha) Heat officially supports only POSIX::Linux platform
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# where os.urandom() and random.SystemRandom() are available
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random = random_module.SystemRandom()
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CHARACTER_CLASSES = (
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LETTERS_DIGITS, LETTERS, LOWERCASE, UPPERCASE,
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DIGITS, HEXDIGITS, OCTDIGITS,
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) = (
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'lettersdigits', 'letters', 'lowercase', 'uppercase',
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'digits', 'hexdigits', 'octdigits',
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)
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_char_class_members = {
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LETTERS_DIGITS: string.ascii_letters + string.digits,
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LETTERS: string.ascii_letters,
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LOWERCASE: string.ascii_lowercase,
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UPPERCASE: string.ascii_uppercase,
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DIGITS: string.digits,
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HEXDIGITS: string.digits + 'ABCDEF',
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OCTDIGITS: string.octdigits,
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}
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CharClass = collections.namedtuple('CharClass',
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('allowed_chars', 'min_count'))
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def named_char_class(char_class, min_count=0):
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"""Return a predefined character class.
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The result of this function can be passed to :func:`generate_password` as
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one of the character classes to use in generating a password.
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:param char_class: Any of the character classes named in
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:const:`CHARACTER_CLASSES`
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:param min_count: The minimum number of members of this class to appear in
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a generated password
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"""
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assert char_class in CHARACTER_CLASSES
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return CharClass(frozenset(_char_class_members[char_class]), min_count)
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def special_char_class(allowed_chars, min_count=0):
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"""Return a character class containing custom characters.
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The result of this function can be passed to :func:`generate_password` as
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one of the character classes to use in generating a password.
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:param allowed_chars: Iterable of the characters in the character class
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:param min_count: The minimum number of members of this class to appear in
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a generated password
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"""
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return CharClass(frozenset(allowed_chars), min_count)
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def generate_password(length, char_classes):
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"""Generate a random password.
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The password will be of the specified length, and comprised of characters
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from the specified character classes, which can be generated using the
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:func:`named_char_class` and :func:`special_char_class` functions. Where
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a minimum count is specified in the character class, at least that number
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of characters in the resulting password are guaranteed to be from that
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character class.
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:param length: The length of the password to generate, in characters
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:param char_classes: Iterable over classes of characters from which to
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generate a password
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"""
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char_buffer = six.StringIO()
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all_allowed_chars = set()
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# Add the minimum number of chars from each char class
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for char_class in char_classes:
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all_allowed_chars |= char_class.allowed_chars
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allowed_chars = tuple(char_class.allowed_chars)
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for i in six.moves.xrange(char_class.min_count):
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char_buffer.write(random.choice(allowed_chars))
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# Fill up rest with random chars from provided classes
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combined_chars = tuple(all_allowed_chars)
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for i in six.moves.xrange(max(0, length - char_buffer.tell())):
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char_buffer.write(random.choice(combined_chars))
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# Shuffle string
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selected_chars = char_buffer.getvalue()
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char_buffer.close()
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return ''.join(random.sample(selected_chars, length))
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@ -11,13 +11,11 @@
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# License for the specific language governing permissions and limitations
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# under the License.
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import random as random_module
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import string
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import six
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from heat.common import exception
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from heat.common.i18n import _
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from heat.common import password_gen
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from heat.engine import attributes
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from heat.engine import constraints
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from heat.engine import properties
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@ -25,10 +23,6 @@ from heat.engine import resource
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from heat.engine import support
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from heat.engine import translation
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# NOTE(pas-ha) Heat officially supports only POSIX::Linux platform
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# where os.urandom() and random.SystemRandom() are available
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random = random_module.SystemRandom()
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class RandomString(resource.Resource):
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"""A resource which generates a random string.
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@ -83,10 +77,7 @@ class RandomString(resource.Resource):
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properties.Schema.STRING,
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_('Sequence of characters to build the random string from.'),
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constraints=[
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constraints.AllowedValues(['lettersdigits', 'letters',
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'lowercase', 'uppercase',
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'digits', 'hexdigits',
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'octdigits']),
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constraints.AllowedValues(password_gen.CHARACTER_CLASSES),
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],
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support_status=support.SupportStatus(
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status=support.HIDDEN,
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@ -112,11 +103,9 @@ class RandomString(resource.Resource):
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% {'min': CHARACTER_CLASSES_MIN}),
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constraints=[
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constraints.AllowedValues(
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['lettersdigits', 'letters', 'lowercase',
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'uppercase', 'digits', 'hexdigits',
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'octdigits']),
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password_gen.CHARACTER_CLASSES),
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],
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default='lettersdigits'),
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default=password_gen.LETTERS_DIGITS),
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CHARACTER_CLASSES_MIN: properties.Schema(
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properties.Schema.INTEGER,
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_('The minimum number of characters from this '
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@ -130,7 +119,7 @@ class RandomString(resource.Resource):
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}
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),
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# add defaults for backward compatibility
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default=[{CHARACTER_CLASSES_CLASS: 'lettersdigits',
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default=[{CHARACTER_CLASSES_CLASS: password_gen.LETTERS_DIGITS,
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CHARACTER_CLASSES_MIN: 1}]
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),
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@ -177,16 +166,6 @@ class RandomString(resource.Resource):
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),
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}
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_sequences = {
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'lettersdigits': string.ascii_letters + string.digits,
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'letters': string.ascii_letters,
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'lowercase': string.ascii_lowercase,
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'uppercase': string.ascii_uppercase,
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'digits': string.digits,
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'hexdigits': string.digits + 'ABCDEF',
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'octdigits': string.octdigits
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}
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def translation_rules(self, props):
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if props.get(self.SEQUENCE):
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return [
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@ -205,57 +184,19 @@ class RandomString(resource.Resource):
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]
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def _generate_random_string(self, char_sequences, char_classes, length):
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random_string = ""
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seq_mins = [
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password_gen.special_char_class(
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char_seq[self.CHARACTER_SEQUENCES_SEQUENCE],
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char_seq[self.CHARACTER_SEQUENCES_MIN])
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for char_seq in char_sequences]
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char_class_mins = [
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password_gen.named_char_class(
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char_class[self.CHARACTER_CLASSES_CLASS],
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char_class[self.CHARACTER_CLASSES_MIN])
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for char_class in char_classes]
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# Add the minimum number of chars from each char sequence & char class
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if char_sequences:
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for char_seq in char_sequences:
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seq = char_seq[self.CHARACTER_SEQUENCES_SEQUENCE]
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seq_min = char_seq[self.CHARACTER_SEQUENCES_MIN]
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for i in six.moves.xrange(seq_min):
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random_string += random.choice(seq)
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if char_classes:
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for char_class in char_classes:
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cclass_class = char_class[self.CHARACTER_CLASSES_CLASS]
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cclass_seq = self._sequences[cclass_class]
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cclass_min = char_class[self.CHARACTER_CLASSES_MIN]
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for i in six.moves.xrange(cclass_min):
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random_string += random.choice(cclass_seq)
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def random_class_char():
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cclass_dict = random.choice(char_classes)
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cclass_class = cclass_dict[self.CHARACTER_CLASSES_CLASS]
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cclass_seq = self._sequences[cclass_class]
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return random.choice(cclass_seq)
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def random_seq_char():
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seq_dict = random.choice(char_sequences)
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seq = seq_dict[self.CHARACTER_SEQUENCES_SEQUENCE]
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return random.choice(seq)
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# Fill up rest with random chars from provided sequences & classes
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if char_sequences and char_classes:
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weighted_choices = ([True] * len(char_classes) +
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[False] * len(char_sequences))
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while len(random_string) < length:
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if random.choice(weighted_choices):
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random_string += random_class_char()
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else:
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random_string += random_seq_char()
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elif char_sequences:
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while len(random_string) < length:
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random_string += random_seq_char()
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else:
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while len(random_string) < length:
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random_string += random_class_char()
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# Randomize string
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random_string = ''.join(random.sample(random_string,
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len(random_string)))
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return random_string
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return password_gen.generate_password(length,
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seq_mins + char_class_mins)
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def validate(self):
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super(RandomString, self).validate()
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raise exception.StackValidationFailed(message=msg)
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def handle_create(self):
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char_sequences = self.properties[self.CHARACTER_SEQUENCES]
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char_classes = self.properties[self.CHARACTER_CLASSES]
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char_sequences = self.properties[self.CHARACTER_SEQUENCES] or []
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char_classes = self.properties[self.CHARACTER_CLASSES] or []
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length = self.properties[self.LENGTH]
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random_string = self._generate_random_string(char_sequences,
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return stack
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# test was saved to test backward compatibility with old behavior
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def test_generate_random_string_backward_compatiable(self):
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def test_generate_random_string_backward_compatible(self):
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stack = self.parse_stack(template_format.parse(self.template_rs))
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secret = stack['secret']
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char_classes = secret.properties['character_classes']
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@ -268,8 +268,125 @@ Resources:
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# run each test multiple times to confirm random generator
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# doesn't generate a matching pattern by chance
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for i in range(1, 32):
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r = secret._generate_random_string(None, char_classes, self.length)
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r = secret._generate_random_string([], char_classes, self.length)
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self.assertThat(r, matchers.HasLength(self.length))
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regex = '%s{%s}' % (self.pattern, self.length)
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self.assertThat(r, matchers.MatchesRegex(regex))
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class TestGenerateRandomStringDistribution(common.HeatTestCase):
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def run_test(self, tmpl, iterations=5):
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stack = utils.parse_stack(template_format.parse(tmpl))
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secret = stack['secret']
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secret.data_set = mock.Mock()
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for i in range(iterations):
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secret.handle_create()
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return [call[1][1] for call in secret.data_set.mock_calls]
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def char_counts(self, random_strings, char):
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return [rs.count(char) for rs in random_strings]
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def check_stats(self, char_counts, expected_mean, allowed_variance,
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expected_minimum=0):
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mean = float(sum(char_counts)) / len(char_counts)
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self.assertLess(mean, expected_mean + allowed_variance)
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self.assertGreater(mean, max(0, expected_mean - allowed_variance))
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if expected_minimum:
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self.assertGreaterEqual(min(char_counts), expected_minimum)
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def test_class_uniformity(self):
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template_rs = '''
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HeatTemplateFormatVersion: '2012-12-12'
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Resources:
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secret:
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Type: OS::Heat::RandomString
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Properties:
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length: 66
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character_classes:
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- class: lettersdigits
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character_sequences:
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- sequence: "*$"
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'''
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results = self.run_test(template_rs, 10)
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for char in '$*':
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self.check_stats(self.char_counts(results, char), 1.5, 2)
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def test_repeated_sequence(self):
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template_rs = '''
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HeatTemplateFormatVersion: '2012-12-12'
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Resources:
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secret:
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Type: OS::Heat::RandomString
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Properties:
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length: 40
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character_classes: []
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character_sequences:
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- sequence: "**********$*****************************"
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'''
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results = self.run_test(template_rs)
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for char in '$*':
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self.check_stats(self.char_counts(results, char), 20, 6)
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def test_overlapping_classes(self):
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template_rs = '''
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HeatTemplateFormatVersion: '2012-12-12'
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Resources:
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secret:
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Type: OS::Heat::RandomString
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Properties:
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length: 624
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character_classes:
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- class: lettersdigits
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- class: digits
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- class: octdigits
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- class: hexdigits
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'''
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results = self.run_test(template_rs, 20)
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self.check_stats(self.char_counts(results, '0'), 10.3, 2.5)
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def test_overlapping_sequences(self):
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template_rs = '''
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HeatTemplateFormatVersion: '2012-12-12'
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Resources:
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secret:
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Type: OS::Heat::RandomString
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Properties:
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length: 60
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character_classes: []
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character_sequences:
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- sequence: "01"
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- sequence: "02"
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- sequence: "03"
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- sequence: "04"
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- sequence: "05"
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- sequence: "06"
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- sequence: "07"
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- sequence: "08"
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- sequence: "09"
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'''
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results = self.run_test(template_rs)
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self.check_stats(self.char_counts(results, '0'), 10, 5)
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def test_overlapping_class_sequence(self):
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template_rs = '''
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HeatTemplateFormatVersion: '2012-12-12'
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Resources:
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secret:
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Type: OS::Heat::RandomString
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Properties:
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length: 402
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character_classes:
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- class: octdigits
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character_sequences:
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- sequence: "0"
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'''
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results = self.run_test(template_rs, 10)
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self.check_stats(self.char_counts(results, '0'), 51.125, 8, 1)
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@ -0,0 +1,9 @@
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---
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security:
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- |
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Passwords generated by the OS::Heat::RandomString resource may have had
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less entropy than expected, depending on what is specified in the
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``character_class`` and ``character_sequence`` properties. This has been
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corrected so that each character present in any of the specified classes
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or sequences now has an equal probability of appearing at each point in
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the generated random string.
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