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Copy pathfunctionrecognizer.py
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81 lines (69 loc) · 3.33 KB
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# Copyright (c) 2015-2026 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 traceback
# Binary Ninja components
from . import _binaryninjacore as core
from . import function
from . import filemetadata
from . import binaryview
from . import lowlevelil
from .log import log_error_for_exception
from . import mediumlevelil
class FunctionRecognizer:
_instance = None
def __init__(self):
self._cb = core.BNFunctionRecognizer()
self._cb.context = 0
self._cb.recognizeLowLevelIL = self._cb.recognizeLowLevelIL.__class__(self._recognize_low_level_il)
self._cb.recognizeMediumLevelIL = self._cb.recognizeMediumLevelIL.__class__(self._recognize_medium_level_il)
@classmethod
def register_global(cls):
if cls._instance is None:
cls._instance = cls()
core.BNRegisterGlobalFunctionRecognizer(cls._instance._cb)
@classmethod
def register_arch(cls, arch):
if cls._instance is None:
cls._instance = cls()
core.BNRegisterArchitectureFunctionRecognizer(arch.handle, cls._instance._cb)
def _recognize_low_level_il(self, ctxt, data, func, il):
try:
file_metadata = filemetadata.FileMetadata(handle=core.BNGetFileForView(data))
view = binaryview.BinaryView(file_metadata=file_metadata, handle=core.BNNewViewReference(data))
func = function.Function(view, handle=core.BNNewFunctionReference(func))
il = lowlevelil.LowLevelILFunction(func.arch, handle=core.BNNewLowLevelILFunctionReference(il))
return self.recognize_low_level_il(view, func, il)
except Exception:
log_error_for_exception("Unhandled Python exception in FunctionRecognizer._recognize_low_level_il")
return False
def recognize_low_level_il(self, data, func, il):
return False
def _recognize_medium_level_il(self, ctxt, data, func, il):
try:
file_metadata = filemetadata.FileMetadata(handle=core.BNGetFileForView(data))
view = binaryview.BinaryView(file_metadata=file_metadata, handle=core.BNNewViewReference(data))
func = function.Function(view, handle=core.BNNewFunctionReference(func))
il = mediumlevelil.MediumLevelILFunction(func.arch, handle=core.BNNewMediumLevelILFunctionReference(il))
return self.recognize_medium_level_il(view, func, il)
except Exception:
log_error_for_exception("Unhandled Python exception in FunctionRecognizer._recognize_mediumlevel_il")
return False
def recognize_medium_level_il(self, data, func, il):
return False