third_party_jinja2/jinja2/sandbox.py
2008-05-26 12:21:45 +02:00

209 lines
7.5 KiB
Python

# -*- coding: utf-8 -*-
"""
jinja2.sandbox
~~~~~~~~~~~~~~
Adds a sandbox layer to Jinja as it was the default behavior in the old
Jinja 1 releases. This sandbox is slightly different from Jinja 1 as the
default behavior is easier to use.
The behavior can be changed by subclassing the environment.
:copyright: Copyright 2008 by Armin Ronacher.
:license: BSD.
"""
import operator
from UserDict import UserDict, DictMixin
from UserList import UserList
from sets import Set, ImmutableSet
from types import FunctionType, MethodType, TracebackType, CodeType, \
FrameType, GeneratorType
from jinja2.runtime import Undefined
from jinja2.environment import Environment
from jinja2.exceptions import SecurityError
#: maximum number of items a range may produce
MAX_RANGE = 100000
#: attributes of function objects that are considered unsafe.
UNSAFE_FUNCTION_ATTRIBUTES = set(['func_closure', 'func_code', 'func_dict',
'func_defaults', 'func_globals'])
#: unsafe method attributes. function attributes are unsafe for methods too
UNSAFE_METHOD_ATTRIBUTES = set(['im_class', 'im_func', 'im_self'])
SET_TYPES = (ImmutableSet, Set, set)
MODIFYING_SET_ATTRIBUTES = set([
'add', 'clear', 'difference_update', 'discard', 'pop', 'remove',
'symmetric_difference_update', 'update'
])
DICT_TYPES = (UserDict, DictMixin, dict)
MODIFYING_DICT_ATTRIBUTES = set(['clear', 'pop', 'popitem', 'setdefault',
'update'])
LIST_TYPES = (UserList, list)
MODIFYING_LIST_ATTRIBUTES = set(['append', 'reverse', 'insert', 'sort',
'extend', 'remove'])
def safe_range(*args):
"""A range that can't generate ranges with a length of more than
MAX_RANGE items.
"""
rng = xrange(*args)
if len(rng) > MAX_RANGE:
raise OverflowError('range too big, maximum size for range is %d' %
MAX_RANGE)
return rng
def unsafe(f):
"""
Mark a function or method as unsafe::
@unsafe
def delete(self):
pass
"""
f.unsafe_callable = True
return f
def is_internal_attribute(obj, attr):
"""Test if the attribute given is an internal python attribute. For
example this function returns `True` for the `func_code` attribute of
python objects. This is useful if the environment method
:meth:`~SandboxedEnvironment.is_safe_attribute` is overriden.
>>> from jinja2.sandbox import is_internal_attribute
>>> is_internal_attribute(lambda: None, "func_code")
True
>>> is_internal_attribute((lambda x:x).func_code, 'co_code')
True
>>> is_internal_attribute(str, "upper")
False
"""
if isinstance(obj, FunctionType):
return attr in UNSAFE_FUNCTION_ATTRIBUTES
if isinstance(obj, MethodType):
return attr in UNSAFE_FUNCTION_ATTRIBUTES or \
attr in UNSAFE_METHOD_ATTRIBUTES
if isinstance(obj, type):
return attr == 'mro'
if isinstance(obj, (CodeType, TracebackType, FrameType)):
return True
if isinstance(obj, GeneratorType):
return attr == 'gi_frame'
return attr.startswith('__')
def modifies_builtin_mutable(obj, attr):
"""This function checks if an attribute on a builtin mutable object
(list, dict or set) would modify it if called. It also supports
the "user"-versions of the objects (`sets.Set`, `UserDict.*` etc.)
>>> modifies_builtin_mutable({}, "clear")
True
>>> modifies_builtin_mutable({}, "keys")
False
>>> modifies_builtin_mutable([], "append")
True
>>> modifies_builtin_mutable([], "index")
False
If called with an unsupported object (such as unicode) `False` is
returned.
>>> modifies_builtin_mutable("foo", "upper")
False
"""
if isinstance(obj, LIST_TYPES):
return attr in MODIFYING_LIST_ATTRIBUTES
elif isinstance(obj, DICT_TYPES):
return attr in MODIFYING_DICT_ATTRIBUTES
elif isinstance(obj, SET_TYPES):
return attr in MODIFYING_SET_ATTRIBUTES
return False
class SandboxedEnvironment(Environment):
"""The sandboxed environment. It works like the regular environment but
tells the compiler to generate sandboxed code. Additionally subclasses of
this environment may override the methods that tell the runtime what
attributes or functions are safe to access.
If the template tries to access insecure code a :exc:`SecurityError` is
raised. However also other exceptions may occour during the rendering so
the caller has to ensure that all exceptions are catched.
"""
sandboxed = True
def __init__(self, *args, **kwargs):
Environment.__init__(self, *args, **kwargs)
self.globals['range'] = safe_range
def is_safe_attribute(self, obj, attr, value):
"""The sandboxed environment will call this method to check if the
attribute of an object is safe to access. Per default all attributes
starting with an underscore are considered private as well as the
special attributes of internal python objects as returned by the
:func:`is_internal_attribute` function.
"""
return not (attr.startswith('_') or is_internal_attribute(obj, attr))
def is_safe_callable(self, obj):
"""Check if an object is safely callable. Per default a function is
considered safe unless the `unsafe_callable` attribute exists and is
True. Override this method to alter the behavior, but this won't
affect the `unsafe` decorator from this module.
"""
return not (getattr(obj, 'unsafe_callable', False) or \
getattr(obj, 'alters_data', False))
def subscribe(self, obj, argument):
"""Subscribe an object from sandboxed code."""
try:
return obj[argument]
except (TypeError, LookupError):
if isinstance(argument, basestring):
try:
attr = str(argument)
except:
pass
else:
try:
value = getattr(obj, attr)
except AttributeError:
pass
else:
if self.is_safe_attribute(obj, argument, value):
return value
return self.undefined('access to attribute %r of %r '
'object is unsafe.' % (
argument,
obj.__class__.__name__
), name=argument, exc=SecurityError)
return self.undefined(obj=obj, name=argument)
def call(__self, __context, __obj, *args, **kwargs):
"""Call an object from sandboxed code."""
# the double prefixes are to avoid double keyword argument
# errors when proxying the call.
if not __self.is_safe_callable(__obj):
raise SecurityError('%r is not safely callable' % (__obj,))
return __context.call(__obj, *args, **kwargs)
class ImmutableSandboxedEnvironment(SandboxedEnvironment):
"""Works exactly like the regular `SandboxedEnvironment` but does not
permit modifications on the builtin mutable objects `list`, `set`, and
`dict` by using the :func:`modifies_builtin_mutable` function.
"""
def is_safe_attribute(self, obj, attr, value):
if not SandboxedEnvironment.is_safe_attribute(self, obj, attr, value):
return False
return not modifies_builtin_mutable(obj, attr)