# This file was contributed to the Volatility Framework Version 3. # Copyright (C) 2018 Volatility Foundation. # # THE LICENSED WORK IS PROVIDED UNDER THE TERMS OF THE Volatility Contributors # Public License V1.0("LICENSE") AS FIRST COMPLETED BY: Volatility Foundation, # Inc. ANY USE, PUBLIC DISPLAY, PUBLIC PERFORMANCE, REPRODUCTION OR DISTRIBUTION # OF, OR PREPARATION OF SUBSEQUENT WORKS, DERIVATIVE WORKS OR DERIVED WORKS BASED # ON, THE LICENSED WORK CONSTITUTES RECIPIENT'S ACCEPTANCE OF THIS LICENSE AND ITS # TERMS, WHETHER OR NOT SUCH RECIPIENT READS THE TERMS OF THE LICENSE. "LICENSED # WORK,” “RECIPIENT" AND “DISTRIBUTOR" ARE DEFINED IN THE LICENSE. A COPY OF THE # LICENSE IS LOCATED IN THE TEXT FILE ENTITLED "LICENSE.txt" ACCOMPANYING THE # CONTENTS OF THIS FILE. IF A COPY OF THE LICENSE DOES NOT ACCOMPANY THIS FILE, A # COPY OF THE LICENSE MAY ALSO BE OBTAINED AT THE FOLLOWING WEB SITE: # https://www.volatilityfoundation.org/license/vcpl_v1.0 # # Software distributed under the License is distributed on an "AS IS" basis, # WITHOUT WARRANTY OF ANY KIND, either express or implied. See the License for the # specific language governing rights and limitations under the License. # import logging from typing import Iterable, List, Tuple from volatility.framework import interfaces, renderers from volatility.framework.configuration import requirements from volatility.framework.layers import resources from volatility.framework.renderers import format_hints from volatility.plugins import yarascan from volatility.plugins.windows import pslist vollog = logging.getLogger(__name__) try: import yara except ImportError: vollog.info("Python Yara module not found, plugin (and dependent plugins) not available") class VadYaraScan(interfaces.plugins.PluginInterface): @classmethod def get_requirements(cls) -> List[interfaces.configuration.RequirementInterface]: return [ requirements.TranslationLayerRequirement( name = 'primary', description = "Memory layer for the kernel", architectures = ["Intel32", "Intel64"]), requirements.SymbolTableRequirement(name = "nt_symbols", description = "Windows kernel symbols"), requirements.BooleanRequirement( name = "wide", description = "Match wide (unicode) strings", default = False, optional = True), requirements.StringRequirement( name = "yara_rules", description = "Yara rules (as a string)", optional = True), requirements.URIRequirement(name = "yara_file", description = "Yara rules (as a file)", optional = True), requirements.IntRequirement( name = "max_size", default = 0x40000000, description = "Set the maximum size (default is 1GB)", optional = True) ] + pslist.PsList.list_processes_filter_requirements def _generator(self): layer = self.context.layers[self.config['primary']] rules = None if self.config.get('yara_rules', None) is not None: rule = self.config['yara_rules'] if rule[0] not in ["{", "/"]: rule = '"{}"'.format(rule) if self.config.get('case', False): rule += " nocase" if self.config.get('wide', False): rule += " wide ascii" rules = yara.compile(sources = {'n': 'rule r1 {{strings: $a = {} condition: $a}}'.format(rule)}) elif self.config.get('yara_file', None) is not None: rules = yara.compile(file = resources.ResourceAccessor().open(self.config['yara_file'], "rb")) else: vollog.error("No yara rules, nor yara rules file were specified") filter_func = pslist.PsList.create_pid_filter([self.config.get('pid', None)]) for task in pslist.PsList.list_processes( context = self.context, layer_name = self.config['primary'], symbol_table = self.config['nt_symbols'], filter_func = filter_func): for offset, name in layer.scan( context = self.context, scanner = yarascan.YaraScanner(rules = rules), sections = self.get_vad_maps(task)): yield format_hints.Hex(offset), name @staticmethod def get_vad_maps(task: interfaces.objects.ObjectInterface) -> Iterable[Tuple[int, int]]: vad_root = task.get_vad_root() for vad in vad_root.traverse(): end = vad.get_end() start = vad.get_start() yield (start, end - start) def run(self): return renderers.TreeGrid([('Offset', format_hints.Hex), ('Rule', str)], self._generator())