def main():
features = []
for f in helpers.get_functions(skip_thunks=True, skip_libs=True):
for bb in idaapi.FlowChart(f, flags=idaapi.FC_PREDS):
features.extend(list(extract_features(f, bb)))
import pprint
pprint.pprint(features)
def get_functions(self):
import capa.features.extractors.ida.helpers as ida_helpers
# data structure shared across functions yielded here.
# useful for caching analysis relevant across a single workspace.
ctx = {}
# ignore library functions and thunk functions as identified by IDA
for f in ida_helpers.get_functions(skip_thunks=True, skip_libs=True):
setattr(f, "ctx", ctx)
yield FunctionHandle(f)
def get_functions(self):
import capa.features.extractors.ida.helpers as ida_helpers
# ignore library functions and thunk functions as identified by IDA
for f in ida_helpers.get_functions(skip_thunks=True, skip_libs=True):
yield add_ea_int_cast(f)