Source code for binaryninja.functionrecognizer

# Copyright (c) 2015-2017 Vector 35 LLC
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import traceback

# Binary Ninja components
import _binaryninjacore as core
import function
import filemetadata
import binaryview
import lowlevelil
import log


[docs]class FunctionRecognizer(object): _instance = None
[docs] def __init__(self): self._cb = core.BNFunctionRecognizer() self._cb.context = 0 self._cb.recognizeLowLevelIL = self._cb.recognizeLowLevelIL.__class__(self._recognize_low_level_il)
@classmethod
[docs] def register_global(cls): if cls._instance is None: cls._instance = cls() core.BNRegisterGlobalFunctionRecognizer(cls._instance._cb)
@classmethod
[docs] 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: log.log_error(traceback.format_exc()) return False
[docs] def recognize_low_level_il(self, data, func, il): return False