Files
volatility3/volatility/framework/configuration/requirements.py
T

105 lines
4.7 KiB
Python

from volatility.framework.interfaces import configuration as config_interface
class InstanceRequirement(config_interface.RequirementInterface):
instance_type = bool
def validate(self, value, _context):
if not isinstance(value, self.instance_type):
raise TypeError(self.name + " input only accepts " + self.instance_type.__name__ + " type")
class IntRequirement(InstanceRequirement):
instance_type = int
class StringRequirement(InstanceRequirement):
# TODO: Maybe add string length limits?
instance_type = str
class BytesRequirement(InstanceRequirement):
instance_type = bytes
class TranslationLayerRequirement(config_interface.ConstraintInterface):
"""Class maintaining the limitations on what sort of address spaces are acceptable"""
def __init__(self, name, description = None, default = None,
optional = False, layer_name = None, constraints = None):
"""Constructs a Translation Layer Requirement
The configuration option's value will be the name of the layer once it exists in the store
:param name: Name of the configuration requirement
:param layer_name: String detailing the expected name of the required layer, this can be None if it is to be randomly generated
:return:
"""
config_interface.ConstraintInterface.__init__(self, name, description, default, optional, constraints)
self._layer_name = layer_name
# TODO: Add requirements: acceptable OSes from the address_space information
# TODO: Add requirements: acceptable arches from the available layers
def validate(self, value, context):
"""Validate that the value is a valid layer name and that the layer adheres to the requirements"""
if not isinstance(value, str):
raise TypeError("TranslationLayerRequirements only accepts string labels")
if value not in context.memory:
raise IndexError((value or "") + " is not a memory layer")
class SymbolRequirement(config_interface.ConstraintInterface):
"""Class maintaining the limitations on what sort of symbol spaces are acceptable"""
def __init__(self, name, description = None, default = None, optional = False, constraints = None):
config_interface.ConstraintInterface.__init__(self, name, description, default, optional, constraints)
def validate(self, value, context):
"""Validate that the value is a valid within the symbol space of the provided context"""
if not isinstance(value, str):
raise TypeError("SymbolRequirement only accepts string labels")
if value not in context.symbol_space:
raise IndexError((value or "") + " is not present in the symbol space")
class NativeSymbolRequirement(SymbolRequirement):
def validate(self, value, context):
if not isinstance(value, str):
raise TypeError("SymbolRequirement only accepts string labels")
class ChoiceRequirement(config_interface.RequirementInterface):
"""Allows one from a choice of strings"""
def __init__(self, choices, *args, **kwargs):
config_interface.RequirementInterface.__init__(self, *args, **kwargs)
if not isinstance(choices, list) or any([not isinstance(choice, str) for choice in choices]):
raise TypeError("ChoiceRequirement takes a list of strings as choices")
self._choices = choices
def validate(self, value, context):
"""Validates the provided value to ensure it is one of the available choices"""
if value not in self._choices:
raise ValueError("Value is not within the set of available choices")
class ListRequirement(config_interface.RequirementInterface):
def __init__(self, element_type, max_elements, min_elements, *args, **kwargs):
config_interface.RequirementInterface.__init__(self, *args, **kwargs)
if isinstance(element_type, ListRequirement):
raise TypeError("ListRequirements cannot contain ListRequirements")
self.element_type = self._check_type(element_type, config_interface.RequirementInterface)
self.min_elements = min_elements
self.max_elements = max_elements
def validate(self, value, context):
"""Check the types on each of the returned values and then call the element type's check for each one"""
self._check_type(value, list)
if not all([self._check_type(element, self.element_type) for element in value]):
raise TypeError("At least one element in the list is not of the correct type.")
if not (self.min_elements <= len(value) <= self.max_elements):
raise TypeError("List option provided more or less elements than allowed.")
for element in value:
self.element_type.validate(element, context)