# -*- 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: (c) 2010 by the Jinja Team. :license: BSD. """ import operator from jinja2.runtime import Undefined from jinja2.environment import Environment from jinja2.exceptions import SecurityError from jinja2.utils import FunctionType, MethodType, TracebackType, CodeType, \ FrameType, GeneratorType #: 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']) import warnings # make sure we don't warn in python 2.6 about stuff we don't care about warnings.filterwarnings('ignore', 'the sets module', DeprecationWarning, module='jinja2.sandbox') from collections import deque _mutable_set_types = (set,) _mutable_mapping_types = (dict,) _mutable_sequence_types = (list,) # on python 2.x we can register the user collection types try: from UserDict import UserDict, DictMixin from UserList import UserList _mutable_mapping_types += (UserDict, DictMixin) _mutable_set_types += (UserList,) except ImportError: pass # if sets is still available, register the mutable set from there as well try: from sets import Set _mutable_set_types += (Set,) except ImportError: pass #: register Python 2.6 abstract base classes try: from collections import MutableSet, MutableMapping, MutableSequence _mutable_set_types += (MutableSet,) _mutable_mapping_types += (MutableMapping,) _mutable_sequence_types += (MutableSequence,) except ImportError: pass _mutable_spec = ( (_mutable_set_types, frozenset([ 'add', 'clear', 'difference_update', 'discard', 'pop', 'remove', 'symmetric_difference_update', 'update' ])), (_mutable_mapping_types, frozenset([ 'clear', 'pop', 'popitem', 'setdefault', 'update' ])), (_mutable_sequence_types, frozenset([ 'append', 'reverse', 'insert', 'sort', 'extend', 'remove' ])), (deque, frozenset([ 'append', 'appendleft', 'clear', 'extend', 'extendleft', 'pop', 'popleft', 'remove', 'rotate' ])) ) 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): if attr in UNSAFE_FUNCTION_ATTRIBUTES: return True elif isinstance(obj, MethodType): if attr in UNSAFE_FUNCTION_ATTRIBUTES or \ attr in UNSAFE_METHOD_ATTRIBUTES: return True elif isinstance(obj, type): if attr == 'mro': return True elif isinstance(obj, (CodeType, TracebackType, FrameType)): return True elif isinstance(obj, GeneratorType): if attr == 'gi_frame': return True return attr.startswith('__') def modifies_known_mutable(obj, attr): """This function checks if an attribute on a builtin mutable object (list, dict, set or deque) would modify it if called. It also supports the "user"-versions of the objects (`sets.Set`, `UserDict.*` etc.) and with Python 2.6 onwards the abstract base classes `MutableSet`, `MutableMapping`, and `MutableSequence`. >>> modifies_known_mutable({}, "clear") True >>> modifies_known_mutable({}, "keys") False >>> modifies_known_mutable([], "append") True >>> modifies_known_mutable([], "index") False If called with an unsupported object (such as unicode) `False` is returned. >>> modifies_known_mutable("foo", "upper") False """ for typespec, unsafe in _mutable_spec: if isinstance(obj, typespec): return attr in unsafe 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 getitem(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.unsafe_undefined(obj, argument) return self.undefined(obj=obj, name=argument) def getattr(self, obj, attribute): """Subscribe an object from sandboxed code and prefer the attribute. The attribute passed *must* be a bytestring. """ try: value = getattr(obj, attribute) except AttributeError: try: return obj[attribute] except (TypeError, LookupError): pass else: if self.is_safe_attribute(obj, attribute, value): return value return self.unsafe_undefined(obj, attribute) return self.undefined(obj=obj, name=attribute) def unsafe_undefined(self, obj, attribute): """Return an undefined object for unsafe attributes.""" return self.undefined('access to attribute %r of %r ' 'object is unsafe.' % ( attribute, obj.__class__.__name__ ), name=attribute, obj=obj, exc=SecurityError) 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_known_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_known_mutable(obj, attr)