Source code for binaryninja.workflow

# Copyright (c) 2015-2023 Vector 35 Inc
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.

import ctypes
import traceback
from typing import List, Union, Callable, Optional, Any

# Binary Ninja components
import binaryninja
from .log import log_error
from . import _binaryninjacore as core
from .flowgraph import FlowGraph, CoreFlowGraph

ActivityType = Union['Activity', str]


[docs]class Activity(object): """ :class:`Activity` """ _action_callbacks = {} def __init__(self, name: str = "", handle: Optional[core.BNActivityHandle] = None, action: Optional[Callable[[Any], None]] = None): if handle is None: #cls._notify(ac, callback) action_callback = ctypes.CFUNCTYPE(None, ctypes.c_void_p, ctypes.POINTER(core.BNAnalysisContext))(lambda ctxt, ac: self._action(ac)) _handle = core.BNCreateActivity(name, None, action_callback) self.action = action self.__class__._action_callbacks[len(self.__class__._action_callbacks)] = action_callback else: _handle = handle assert _handle is not None, "Activity instantiation failed" self.handle = _handle self._name = name def _action(self, ac: Any): try: if self.action is not None: self.action(ac) except: log_error(traceback.format_exc()) def __del__(self): if core is not None: core.BNFreeActivity(self.handle) def __repr__(self): return f"<Activity: {self.name}>" def __str__(self): return self.name def __eq__(self, other): if not isinstance(other, self.__class__): return NotImplemented return ctypes.addressof(self.handle.contents) == ctypes.addressof(other.handle.contents) def __ne__(self, other): if not isinstance(other, self.__class__): return NotImplemented return not (self == other) def __hash__(self): return hash(ctypes.addressof(self.handle.contents)) @property def name(self): """Activity name (read-only)""" if self._name != "": return self._name return core.BNActivityGetName(self.handle)
class _WorkflowMetaclass(type): @property def list(self) -> List['Workflow']: """List all Workflows (read-only)""" binaryninja._init_plugins() count = ctypes.c_ulonglong() workflows = core.BNGetWorkflowList(count) assert workflows is not None, "core.BNGetWorkflowList returned None" result = [] try: for i in range(0, count.value): handle = core.BNNewWorkflowReference(workflows[i]) assert handle is not None, "core.BNNewWorkflowReference returned None" result.append(Workflow(handle=handle)) return result finally: core.BNFreeWorkflowList(workflows, count.value) def __iter__(self): binaryninja._init_plugins() count = ctypes.c_ulonglong() workflows = core.BNGetWorkflowList(count) assert workflows is not None, "core.BNGetWorkflowList returned None" try: for i in range(0, count.value): handle = core.BNNewWorkflowReference(workflows[i]) assert handle is not None, "core.BNNewWorkflowReference returned None" yield Workflow(handle=handle) finally: core.BNFreeWorkflowList(workflows, count.value) def __getitem__(self, value): binaryninja._init_plugins() workflow = core.BNWorkflowInstance(str(value)) return Workflow(handle=workflow)
[docs]class Workflow(metaclass=_WorkflowMetaclass): """ :class:`Workflow` A Binary Ninja Workflow is an abstraction of a computational binary analysis pipeline and it provides the extensibility \ mechanism needed for tailored binary analysis and decompilation. More specifically, a Workflow is a repository of activities along with a \ unique strategy to execute them. Binary Ninja provides two Workflows named ``core.module.defaultAnalysis`` and ``core.function.defaultAnalysis`` \ which expose the core analysis. A Workflow starts in the unregistered state from either creating a new empty Workflow, or cloning an existing Workflow. While unregistered \ it's possible to add and remove activities, as well as change the execution strategy. In order to use the Workflow on a binary it must be \ registered. Once registered the Workflow is immutable and available for use. Currently, Workflows is disabled by default and can be enabled via Settings:: >>> Settings().set_bool('workflows.enable', True) Retrieve the default Workflow by creating a Workflow object:: >>> Workflow() <Workflow: core.module.defaultAnalysis> Retrieve any registered Workflow by name:: >>> list(Workflow) [<Workflow: core.function.defaultAnalysis>, <Workflow: core.module.defaultAnalysis>] >>> Workflow('core.module.defaultAnalysis') <Workflow: core.module.defaultAnalysis> >>> Workflow('core.function.defaultAnalysis') <Workflow: core.function.defaultAnalysis> Create a new Workflow, show it in the UI, modify and then register it. Try it via Open with Options and selecting the new Workflow:: >>> pwf = Workflow().clone("PythonLogWarnWorkflow") >>> pwf.show_topology() >>> pwf.register_activity(Activity("PythonLogWarn", action=lambda analysis_context: log_warn("PythonLogWarn Called!"))) >>> pwf.insert("core.function.basicBlockAnalysis", ["PythonLogWarn"]) >>> pwf.register() .. note:: Binary Ninja Workflows is currently under development and available as an early feature preview. For additional documentation see Help / User Guide / Developer Guide / Workflows """ def __init__(self, name: str = "", handle: core.BNWorkflowHandle = None, query_registry: bool = True): if handle is None: if query_registry: _handle = core.BNWorkflowInstance(str(name)) else: _handle = core.BNCreateWorkflow(name) else: _handle = handle assert _handle is not None self.handle = _handle self._name = core.BNGetWorkflowName(self.handle) def __del__(self): if core is not None: core.BNFreeWorkflow(self.handle) def __len__(self): return int(core.BNWorkflowSize(self.handle)) def __repr__(self): if core.BNWorkflowIsRegistered(self.handle): return f"<Workflow: {self.name}>" else: return f"<Workflow [Unregistered]: {self.name}>" def __str__(self): return self.name @property def name(self) -> str: return self._name def __eq__(self, other): if not isinstance(other, self.__class__): return NotImplemented return ctypes.addressof(self.handle.contents) == ctypes.addressof(other.handle.contents) def __ne__(self, other): if not isinstance(other, self.__class__): return NotImplemented return not (self == other) def __hash__(self): return hash(ctypes.addressof(self.handle.contents))
[docs] def register(self, description: str = "") -> bool: """ ``register`` Register this Workflow, making it immutable and available for use. :param str description: a JSON description of the Workflow :return: True on Success, False otherwise :rtype: bool """ return core.BNRegisterWorkflow(self.handle, str(description))
[docs] def clone(self, name: str, activity: ActivityType = "") -> "Workflow": """ ``clone`` Clone a new Workflow, copying all Activities and the execution strategy. :param str name: the name for the new Workflow :param str activity: if specified, perform the clone operation using ``activity`` as the root :return: a new Workflow :rtype: Workflow """ workflow = core.BNWorkflowClone(self.handle, str(name), str(activity)) return Workflow(handle=workflow)
[docs] def register_activity(self, activity: Activity, subactivities: List[ActivityType] = [], description: str = "") -> Optional[bool]: """ ``register_activity`` Register an Activity with this Workflow. :param Activity activity: the Activity to register :param list[str] subactivities: the list of Activities to assign :param str description: a JSON description of the Activity :return: True on Success, False otherwise :rtype: bool """ if activity is None: return None input_list = (ctypes.c_char_p * len(subactivities))() for i in range(0, len(subactivities)): input_list[i] = str(subactivities[i]).encode('charmap') return core.BNWorkflowRegisterActivity(self.handle, activity.handle, input_list, len(subactivities), str(description))
[docs] def contains(self, activity: ActivityType) -> bool: """ ``contains`` Determine if an Activity exists in this Workflow. :param ActivityType activity: the Activity name :return: True if the Activity exists, False otherwise :rtype: bool """ return core.BNWorkflowContains(self.handle, str(activity))
[docs] def configuration(self, activity: ActivityType = "") -> str: """ ``configuration`` Retrieve the configuration as an adjacency list in JSON for the Workflow, or if specified just for the given ``activity``. :param ActivityType activity: if specified, return the configuration for the ``activity`` :return: an adjacency list representation of the configuration in JSON :rtype: str """ return core.BNWorkflowGetConfiguration(self.handle, str(activity))
@property def registered(self) -> bool: """ ``registered`` Whether this Workflow is registered or not. A Workflow becomes immutable once it is registered. :type: bool """ return core.BNWorkflowIsRegistered(self.handle)
[docs] def get_activity(self, activity: ActivityType) -> Optional[Activity]: """ ``get_activity`` Retrieve the Activity object for the specified ``activity``. :param str activity: the Activity name :return: the Activity object :rtype: Activity """ handle = core.BNWorkflowGetActivity(self.handle, str(activity)) if handle is None: return None return Activity(str(activity), handle)
[docs] def activity_roots(self, activity: ActivityType = "") -> List[str]: """ ``activity_roots`` Retrieve the list of activity roots for the Workflow, or if specified just for the given ``activity``. :param str activity: if specified, return the roots for the ``activity`` :return: list of root activity names :rtype: list[str] """ length = ctypes.c_ulonglong() result = core.BNWorkflowGetActivityRoots(self.handle, str(activity), ctypes.byref(length)) assert result is not None, "core.BNWorkflowGetActivityRoots returned None" out_list = [] try: for i in range(length.value): out_list.append(result[i].decode('utf-8')) return out_list finally: core.BNFreeStringList(result, length.value)
[docs] def subactivities(self, activity: ActivityType = "", immediate: bool = True) -> List[str]: """ ``subactivities`` Retrieve the list of all activities, or optionally a filtered list. :param str activity: if specified, return the direct children and optionally the descendants of the ``activity`` (includes ``activity``) :param bool immediate: whether to include only direct children of ``activity`` or all descendants :return: list of activity names :rtype: list[str] """ length = ctypes.c_ulonglong() result = core.BNWorkflowGetSubactivities(self.handle, str(activity), immediate, ctypes.byref(length)) assert result is not None, "core.BNWorkflowGetSubactivities returned None" out_list = [] try: for i in range(length.value): out_list.append(result[i].decode('utf-8')) return out_list finally: core.BNFreeStringList(result, length.value)
[docs] def assign_subactivities(self, activity: Activity, activities: List[str]) -> bool: """ ``assign_subactivities`` Assign the list of ``activities`` as the new set of children for the specified ``activity``. :param str activity: the Activity node to assign children :param list[str] activities: the list of Activities to assign :return: True on success, False otherwise :rtype: bool """ input_list = (ctypes.c_char_p * len(activities))() for i in range(0, len(activities)): input_list[i] = str(activities[i]).encode('charmap') return core.BNWorkflowAssignSubactivities(self.handle, str(activity), input_list, len(activities))
[docs] def clear(self) -> bool: """ ``clear`` Remove all Activity nodes from this Workflow. :return: True on success, False otherwise :rtype: bool """ return core.BNWorkflowClear(self.handle)
[docs] def insert(self, activity: ActivityType, activities: List[str]) -> bool: """ ``insert`` Insert the list of ``activities`` before the specified ``activity`` and at the same level. :param str activity: the Activity node for which to insert ``activities`` before :param list[str] activities: the list of Activities to insert :return: True on success, False otherwise :rtype: bool """ input_list = (ctypes.c_char_p * len(activities))() for i in range(0, len(activities)): input_list[i] = str(activities[i]).encode('charmap') return core.BNWorkflowInsert(self.handle, str(activity), input_list, len(activities))
[docs] def remove(self, activity: ActivityType) -> bool: """ ``remove`` Remove the specified ``activity``. :param str activity: the Activity to remove :return: True on success, False otherwise :rtype: bool """ return core.BNWorkflowRemove(self.handle, str(activity))
[docs] def replace(self, activity: ActivityType, new_activity: List[str]) -> bool: """ ``replace`` Replace the specified ``activity``. :param str activity: the Activity to replace :param list[str] new_activity: the replacement Activity :return: True on success, False otherwise :rtype: bool """ return core.BNWorkflowReplace(self.handle, str(activity), str(new_activity))
[docs] def graph(self, activity: ActivityType = "", sequential: bool = False, show: bool = True) -> Optional[FlowGraph]: """ ``graph`` Generate a FlowGraph object for the current Workflow and optionally show it in the UI. :param str activity: if specified, generate the Flowgraph using ``activity`` as the root :param bool sequential: whether to generate a **Composite** or **Sequential** style graph :param bool show: whether to show the graph in the UI or not :return: FlowGraph object on success, None on failure :rtype: FlowGraph """ graph = core.BNWorkflowGetGraph(self.handle, str(activity), sequential) if not graph: return None graph = CoreFlowGraph(graph) if show: core.BNShowGraphReport(None, f'{self.name} <{activity}>' if activity else self.name, graph.handle) return graph
[docs] def show_metrics(self) -> None: """ ``show_metrics`` Not yet implemented. :rtype: None """ core.BNWorkflowShowReport(self.handle, "metrics")
[docs] def show_topology(self) -> None: """ ``show_topology`` Show the Workflow topology in the UI. :rtype: None """ core.BNWorkflowShowReport(self.handle, "topology")
[docs] def show_trace(self) -> None: """ ``show_trace`` Not yet implemented. :rtype: None """ core.BNWorkflowShowReport(self.handle, "trace")