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https://github.com/volatilityfoundation/volatility3.git
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291 lines
12 KiB
Python
291 lines
12 KiB
Python
# This file is Copyright 2019 Volatility Foundation and licensed under the Volatility Software License 1.0
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# which is available at https://www.volatilityfoundation.org/license/vsl-v1.0
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#
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import logging
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from typing import Callable, Iterable, List, Dict
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from volatility.framework import renderers, interfaces, contexts, exceptions
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from volatility.framework.configuration import requirements
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from volatility.framework.objects import utility
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from volatility.framework.symbols import mac
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vollog = logging.getLogger(__name__)
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class PsList(interfaces.plugins.PluginInterface):
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"""Lists the processes present in a particular mac memory image."""
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_required_framework_version = (2, 0, 0)
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_version = (2, 0, 0)
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pslist_methods = ['tasks', 'allproc', 'process_group', 'sessions', 'pid_hash_table']
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@classmethod
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def get_requirements(cls):
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return [
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requirements.TranslationLayerRequirement(name = 'primary',
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description = 'Memory layer for the kernel',
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architectures = ["Intel32", "Intel64"]),
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requirements.SymbolTableRequirement(name = "darwin", description = "Mac kernel symbols"),
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requirements.VersionRequirement(name = 'macutils', component = mac.MacUtilities, version = (1, 1, 0)),
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requirements.ChoiceRequirement(name = 'pslist_method',
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description = 'Method to determine for processes',
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choices = cls.pslist_methods,
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default = cls.pslist_methods[0],
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optional = True),
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requirements.ListRequirement(name = 'pid',
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description = 'Filter on specific process IDs',
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element_type = int,
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optional = True)
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]
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@classmethod
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def get_list_tasks(
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cls, method: str
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) -> Callable[[interfaces.context.ContextInterface, str, str, Callable[[int], bool]],
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Iterable[interfaces.objects.ObjectInterface]]:
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"""Returns the list_tasks method based on the selector
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Args:
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method: Must be one fo the available methods in get_task_choices
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Returns:
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list_tasks method for listing tasks
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"""
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# Ensure method is one of the suitable choices
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if method not in cls.pslist_methods:
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method = cls.pslist_methods[0]
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if method == 'allproc':
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list_tasks = cls.list_tasks_allproc
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elif method == 'tasks':
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list_tasks = cls.list_tasks_tasks
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elif method == 'process_group':
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list_tasks = cls.list_tasks_process_group
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elif method == 'sessions':
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list_tasks = cls.list_tasks_sessions
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elif method == 'pid_hash_table':
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list_tasks = cls.list_tasks_pid_hash_table
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else:
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raise ValueError("Impossible method choice chosen")
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vollog.debug("Using method {}".format(method))
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return list_tasks
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@classmethod
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def create_pid_filter(cls, pid_list: List[int] = None) -> Callable[[int], bool]:
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filter_func = lambda _: False
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# FIXME: mypy #4973 or #2608
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pid_list = pid_list or []
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filter_list = [x for x in pid_list if x is not None]
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if filter_list:
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def list_filter(x):
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return x.p_pid not in filter_list
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filter_func = list_filter
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return filter_func
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def _generator(self):
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list_tasks = self.get_list_tasks(self.config.get('pslist_method', self.pslist_methods[0]))
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for task in list_tasks(self.context,
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self.config['primary'],
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self.config['darwin'],
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filter_func = self.create_pid_filter(self.config.get('pid', None))):
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pid = task.p_pid
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ppid = task.p_ppid
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name = utility.array_to_string(task.p_comm)
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yield (0, (pid, ppid, name))
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@classmethod
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def list_tasks_allproc(cls,
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context: interfaces.context.ContextInterface,
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layer_name: str,
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darwin_symbols: str,
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filter_func: Callable[[int], bool] = lambda _: False) -> \
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Iterable[interfaces.objects.ObjectInterface]:
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"""Lists all the processes in the primary layer based on the allproc method
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Args:
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context: The context to retrieve required elements (layers, symbol tables) from
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layer_name: The name of the layer on which to operate
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darwin_symbols: The name of the table containing the kernel symbols
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filter_func: A function which takes a process object and returns True if the process should be ignored/filtered
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Returns:
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The list of process objects from the processes linked list after filtering
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"""
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kernel = contexts.Module(context, darwin_symbols, layer_name, 0)
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kernel_layer = context.layers[layer_name]
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proc = kernel.object_from_symbol(symbol_name = "allproc").lh_first
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seen = {} # type: Dict[int, int]
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while proc is not None and proc.vol.offset != 0:
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if proc.vol.offset in seen:
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vollog.log(logging.INFO, "Recursive process list detected (a result of non-atomic acquisition).")
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break
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else:
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seen[proc.vol.offset] = 1
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if kernel_layer.is_valid(proc.vol.offset, proc.vol.size) and not filter_func(proc):
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yield proc
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try:
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proc = proc.p_list.le_next.dereference()
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except exceptions.InvalidAddressException:
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break
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@classmethod
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def list_tasks_tasks(cls,
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context: interfaces.context.ContextInterface,
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layer_name: str,
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darwin_symbols: str,
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filter_func: Callable[[int], bool] = lambda _: False) -> \
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Iterable[interfaces.objects.ObjectInterface]:
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"""Lists all the tasks in the primary layer based on the tasks queue
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Args:
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context: The context to retrieve required elements (layers, symbol tables) from
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layer_name: The name of the layer on which to operate
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darwin_symbols: The name of the table containing the kernel symbols
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filter_func: A function which takes a task object and returns True if the task should be ignored/filtered
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Returns:
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The list of task objects from the `layer_name` layer's `tasks` list after filtering
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"""
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kernel = contexts.Module(context, darwin_symbols, layer_name, 0)
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kernel_layer = context.layers[layer_name]
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queue_entry = kernel.object_from_symbol(symbol_name = "tasks")
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seen = {} # type: Dict[int, int]
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for task in queue_entry.walk_list(queue_entry, "tasks", "task"):
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if task.vol.offset in seen:
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vollog.log(logging.INFO, "Recursive process list detected (a result of non-atomic acquisition).")
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break
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else:
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seen[task.vol.offset] = 1
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try:
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proc = task.bsd_info.dereference().cast("proc")
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except exceptions.InvalidAddressException:
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continue
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if kernel_layer.is_valid(proc.vol.offset, proc.vol.size) and not filter_func(proc):
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yield proc
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@classmethod
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def list_tasks_sessions(cls,
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context: interfaces.context.ContextInterface,
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layer_name: str,
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darwin_symbols: str,
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filter_func: Callable[[int], bool] = lambda _: False) -> \
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Iterable[interfaces.objects.ObjectInterface]:
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"""Lists all the tasks in the primary layer using sessions
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Args:
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context: The context to retrieve required elements (layers, symbol tables) from
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layer_name: The name of the layer on which to operate
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darwin_symbols: The name of the table containing the kernel symbols
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filter_func: A function which takes a task object and returns True if the task should be ignored/filtered
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Returns:
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The list of task objects from the `layer_name` layer's `tasks` list after filtering
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"""
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kernel = contexts.Module(context, darwin_symbols, layer_name, 0)
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table_size = kernel.object_from_symbol(symbol_name = "sesshash")
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sesshashtbl = kernel.object_from_symbol(symbol_name = "sesshashtbl")
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proc_array = kernel.object(object_type = "array",
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offset = sesshashtbl,
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count = table_size + 1,
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subtype = kernel.get_type("sesshashhead"))
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for proc_list in proc_array:
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for proc in mac.MacUtilities.walk_list_head(proc_list, "s_hash"):
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if proc.s_leader.is_readable() and not filter_func(proc.s_leader):
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yield proc.s_leader
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@classmethod
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def list_tasks_process_group(cls,
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context: interfaces.context.ContextInterface,
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layer_name: str,
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darwin_symbols: str,
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filter_func: Callable[[int], bool] = lambda _: False) -> \
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Iterable[interfaces.objects.ObjectInterface]:
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"""Lists all the tasks in the primary layer using process groups
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Args:
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context: The context to retrieve required elements (layers, symbol tables) from
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layer_name: The name of the layer on which to operate
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darwin_symbols: The name of the table containing the kernel symbols
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filter_func: A function which takes a task object and returns True if the task should be ignored/filtered
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Returns:
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The list of task objects from the `layer_name` layer's `tasks` list after filtering
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"""
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kernel = contexts.Module(context, darwin_symbols, layer_name, 0)
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table_size = kernel.object_from_symbol(symbol_name = "pgrphash")
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pgrphashtbl = kernel.object_from_symbol(symbol_name = "pgrphashtbl")
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proc_array = kernel.object(object_type = "array",
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offset = pgrphashtbl,
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count = table_size + 1,
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subtype = kernel.get_type("pgrphashhead"))
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for proc_list in proc_array:
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for pgrp in mac.MacUtilities.walk_list_head(proc_list, "pg_hash"):
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for proc in mac.MacUtilities.walk_list_head(pgrp.pg_members, "p_pglist"):
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if not filter_func(proc):
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yield proc
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@classmethod
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def list_tasks_pid_hash_table(cls,
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context: interfaces.context.ContextInterface,
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layer_name: str,
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darwin_symbols: str,
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filter_func: Callable[[int], bool] = lambda _: False) -> \
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Iterable[interfaces.objects.ObjectInterface]:
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"""Lists all the tasks in the primary layer using the pid hash table
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Args:
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context: The context to retrieve required elements (layers, symbol tables) from
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layer_name: The name of the layer on which to operate
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darwin_symbols: The name of the table containing the kernel symbols
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filter_func: A function which takes a task object and returns True if the task should be ignored/filtered
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Returns:
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The list of task objects from the `layer_name` layer's `tasks` list after filtering
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"""
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kernel = contexts.Module(context, darwin_symbols, layer_name, 0)
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table_size = kernel.object_from_symbol(symbol_name = "pidhash")
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pidhashtbl = kernel.object_from_symbol(symbol_name = "pidhashtbl")
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proc_array = kernel.object(object_type = "array",
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offset = pidhashtbl,
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count = table_size + 1,
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subtype = kernel.get_type("pidhashhead"))
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for proc_list in proc_array:
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for proc in mac.MacUtilities.walk_list_head(proc_list, "p_hash"):
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if not filter_func(proc):
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yield proc
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def run(self):
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return renderers.TreeGrid([("PID", int), ("PPID", int), ("COMM", str)], self._generator())
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