# 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 Callable, Iterable, List import volatility.framework.interfaces.plugins as interfaces_plugins from volatility.framework import renderers, interfaces, contexts from volatility.framework.automagic import mac from volatility.framework.configuration import requirements from volatility.framework.objects import utility vollog = logging.getLogger(__name__) class PsList(interfaces_plugins.PluginInterface): """Lists the processes present in a particular mac memory image""" @classmethod def get_requirements(cls): return [ requirements.TranslationLayerRequirement( name = 'primary', description = 'Memory layer for the kernel', architectures = ["Intel32", "Intel64"]), requirements.SymbolTableRequirement(name = "darwin", description = "Mac kernel symbols") ] @classmethod def create_pid_filter(cls, pid_list: List[int] = None) -> Callable[[int], bool]: filter_func = lambda _: False # FIXME: mypy #4973 or #2608 pid_list = pid_list or [] filter_list = [x for x in pid_list if x is not None] if filter_list: def list_filter(x): return x.pid not in filter_list filter_func = list_filter return filter_func def _generator(self): for task in self.list_tasks( self.context, self.config['primary'], self.config['darwin'], filter_func = self.create_pid_filter([self.config.get('pid', None)])): pid = task.p_pid ppid = task.p_ppid name = utility.array_to_string(task.p_comm) yield (0, (pid, ppid, name)) @classmethod def list_tasks(cls, context: interfaces.context.ContextInterface, layer_name: str, darwin_symbols: str, filter_func: Callable[[int], bool] = lambda _: False) -> \ Iterable[interfaces.objects.ObjectInterface]: """Lists all the tasks in the primary layer""" mac.MacUtilities.aslr_mask_symbol_table(context, darwin_symbols, layer_name) kernel = contexts.Module(context, darwin_symbols, layer_name, 0, absolute_symbol_addresses = True) proc = kernel.object(symbol_name = "allproc").lh_first seen = {} while proc is not None and proc.vol.offset != 0: if proc.vol.offset in seen: vollog.log(logging.INFO, "Recursive process list detected (a result of non-atomic acquisition).") break else: seen[proc.vol.offset] = 1 if not filter_func(proc): yield proc proc = proc.p_list.le_next.dereference() def run(self): return renderers.TreeGrid([("PID", int), ("PPID", int), ("COMM", str)], self._generator())