Source code for volatility3.plugins.layerwriter

# This file is Copyright 2019 Volatility Foundation and licensed under the Volatility Software License 1.0
# which is available at https://www.volatilityfoundation.org/license/vsl-v1.0
#

import logging
from typing import List, Optional, Type

from volatility3.framework import renderers, interfaces, constants, exceptions
from volatility3.framework.configuration import requirements
from volatility3.framework.interfaces import plugins

vollog = logging.getLogger(__name__)


[docs]class LayerWriter(plugins.PluginInterface): """Runs the automagics and writes out the primary layer produced by the stacker.""" default_block_size = 0x500000 _required_framework_version = (2, 0, 0) _version = (2, 0, 0)
[docs] @classmethod def get_requirements(cls) -> List[interfaces.configuration.RequirementInterface]: return [ requirements.TranslationLayerRequirement( name="primary", description="Memory layer for the kernel" ), requirements.IntRequirement( name="block_size", description="Size of blocks to copy over", default=cls.default_block_size, optional=True, ), requirements.BooleanRequirement( name="list", description="List available layers", default=False, optional=True, ), requirements.ListRequirement( name="layers", element_type=str, description="Names of layers to write (defaults to the highest non-mapped layer)", default=None, optional=True, ), ]
[docs] @classmethod def write_layer( cls, context: interfaces.context.ContextInterface, layer_name: str, preferred_name: str, open_method: Type[plugins.FileHandlerInterface], chunk_size: Optional[int] = None, progress_callback: Optional[constants.ProgressCallback] = None, ) -> Optional[plugins.FileHandlerInterface]: """Produces a FileHandler from the named layer in the provided context or None on failure Args: context: the context from which to read the memory layer layer_name: the name of the layer to write out preferred_name: a string with the preferred filename for hte file chunk_size: an optional size for the chunks that should be written (defaults to 0x500000) open_method: class for creating FileHandler context managers progress_callback: an optional function that takes a percentage and a string that displays output """ if layer_name not in context.layers: raise exceptions.LayerException("Layer not found") layer = context.layers[layer_name] if chunk_size is None: chunk_size = cls.default_block_size file_handle = open_method(preferred_name) for i in range(0, layer.maximum_address, chunk_size): current_chunk_size = min(chunk_size, layer.maximum_address - i) data = layer.read(i, current_chunk_size, pad=True) file_handle.write(data) if progress_callback: progress_callback( (i / layer.maximum_address) * 100, f"Writing layer {layer_name}" ) return file_handle
def _generator(self): if self.config["list"]: for name in self.context.layers: yield 0, (name,) else: # Choose the most recently added layer that isn't virtual if not self.config["layers"]: self.config["layers"] = [] for name in self.context.layers: if not self.context.layers[name].metadata.get("mapped", False): self.config["layers"] = [name] for name in self.config["layers"]: # Check the layer exists and validate the output file if name not in self.context.layers: yield 0, (f"Layer Name {name} does not exist",) else: output_name = self.config.get("output", ".".join([name, "raw"])) try: file_handle = self.write_layer( self.context, name, output_name, self.open, self.config.get("block_size", self.default_block_size), progress_callback=self._progress_callback, ) file_handle.close() except IOError as excp: yield 0, ( f"Layer cannot be written to {self.config['output_name']}: {excp}", ) yield 0, (f"Layer has been written to {output_name}",) def _generate_layers(self): """List layer names from this run""" for name in self.context.layers: yield (0, (name, self.context.layers[name].__class__.__name__))
[docs] def run(self): if self.config["list"]: return renderers.TreeGrid( [("Layer name", str), ("Layer type", str)], self._generate_layers() ) return renderers.TreeGrid([("Status", str)], self._generator())