def get_func_cfgs_c(ea):
binary_name = idc.GetInputFile()
raw_cfgs = raw_graphs(binary_name)
externs_eas, ea_externs = processpltSegs()
i = 0
for funcea in Functions(SegStart(ea)):
print(funcea)
funcname = get_unified_funcname(funcea)
func = get_func(funcea)
print i
#print func
i += 1
icfg = cfg.getCfg(func, externs_eas, ea_externs)
#attribute
# print icfg[0].node[0]['numIns']
# print icfg[0].node[0]['numCalls']
#print icfg[0].node[0]['numLIs']
#pickle.dump(icfg, open("F:\work now\data\\"+"icfg.txt",'w'))
func_f = get_discoverRe_feature(func, icfg[0])
# this graph is a func's cfg,the node is basic_block
raw_g = raw_graph(funcname, icfg, func_f)
#pickle.dump(raw_g, open("F:\work now\data\\"+"raw_g.txt",'w'))
raw_cfgs.append(raw_g)
#print raw_cfgs.raw_graph_list[0].funcname
#print raw_cfgs.raw_graph_list[0].old_g
# the raw_cfgs is the class(list) of func's cfg
return raw_cfgs
def get_func_cfgs(ea):
func_cfglist = {}
i = 0
for funcea in Functions(SegStart(ea)):
funcname = get_unified_funcname(funcea)
func = get_func(funcea)
print i
i += 1
try:
icfg = cfg.getCfg(func)
func_cfglist[funcname] = icfg
except:
pass
return func_cfglist
def get_func_cfgs_c(ea):
binary_name = idc.get_root_filename()
raw_cfgs = raw_graphs(binary_name)
externs_eas, ea_externs = processpltSegs()
i = 0
for funcea in idautils.Functions(idc.get_segm_start(ea)):
funcname = get_unified_funcname(funcea)
func = ida_funcs.get_func(funcea)
print i
i += 1
icfg = cfg.getCfg(func, externs_eas, ea_externs)
func_f = get_discoverRe_feature(func, icfg[0])
raw_g = raw_graph(funcname, icfg, func_f)
raw_cfgs.append(raw_g)
return raw_cfgs
def get_func_cfgs_c(ea): binary_name = idc.GetInputFile() raw_cfgs = raw_graphs(binary_name) externs_eas, ea_externs = processpltSegs() i = 0 for funcea in Functions(SegStart(ea)): funcname = get_unified_funcname(funcea) func = get_func(funcea) print i i += 1 icfg = cfg.getCfg(func, externs_eas, ea_externs) func_f = get_discoverRe_feature(func, icfg[0]) raw_g = raw_graph(funcname, icfg, func_f) raw_cfgs.append(raw_g) return raw_cfgs
def get_func_cfgs_ctest(ea):
binary_name = idc.GetInputFile()
raw_cfgs = raw_graphs(binary_name)
externs_eas, ea_externs = processpltSegs()
i = 0
diffs = {}
for funcea in Functions(SegStart(ea)):
funcname = get_unified_funcname(funcea)
func = get_func(funcea)
print i
i += 1
icfg, old_cfg = cfg.getCfg(func, externs_eas, ea_externs)
diffs[funcname] = (icfg, old_cfg)
#raw_g = raw_graph(funcname, icfg)
#raw_cfgs.append(raw_g)
return diffs
def get_func_cfgs_c(ea):
'''
ea:binary的起始地址
return: 每个函数的原生属性控制流图（未向量化）的列表
'''
binary_name = GetInputFile()
raw_cfgs = raw_graphs(binary_name)
externs_eas, ea_externs = processpltSegs()
i = 0
segm = get_segm_by_name(".text")
for funcea in Functions(segm.start_ea, segm.end_ea):
funcname = get_unified_funcname(funcea)
func = get_func(funcea) # 得到func这个类对象
#print i
i += 1
icfg = cfg.getCfg(func, externs_eas, ea_externs) # 为每个函数构建Genius 的ACFG
func_f = get_discoverRe_feature(func, icfg) # 生成DiscoverRe中的函数特征
raw_g = raw_graph(funcname, icfg, func_f)
raw_cfgs.append(raw_g)
return raw_cfgs