77 lines
2.6 KiB
Python
77 lines
2.6 KiB
Python
import angr
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import csv
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import networkx as nx
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import os
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from tqdm import tqdm
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import sys
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# sys.path.append(r'../ASM2VEC_plus_scripts/')
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# from func2vec import func2vec,load_model
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# from node_feature import asm2vec_plus
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import lief
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from detect_pe_packer import detect_pack_res
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import sys
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# from node_feature import *
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def get_node_feature(hex_asm="558bec83ec085756bf0bb80000ff15d4804000",node_feature_method="asm2vec_plus_16"):
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if node_feature_method =="asm2vec_plus_16":
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return asm2vec_plus_16(hex_asm=hex_asm).tolist()
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asm2vec_model_path="../ASM2VEC_plus_scripts/asm2vec_checkpoints/model_100.pt"
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#提取节点和边数量
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def cfg_extract(file_list,data_dir="../data/malware",csv_save_path="../CFG_data/malware_msg.csv",header = ['malware_name','nodes_num','edgs_num']):
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csv_data=[]
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#载入asm2vec的模型
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for i in tqdm(range(len(file_list))):
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file_item=file_list[i]
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#剔除加壳程序
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# try:
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if detect_pack_res(os.path.join(data_dir, file_item)) == True:
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continue
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# bin_parse = lief.PE.parse(os.path.join(data_dir,file_item))
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p = angr.Project(os.path.join(data_dir,file_item), load_options={'auto_load_libs': False})
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cfg = p.analyses.CFGFast(show_progressbar=True, normalize=False, resolve_indirect_jumps=False,
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force_smart_scan=False, symbols=False, data_references=False)
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# except:
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# continue
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G = cfg.graph
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# if len(G.nodes)>10000 or len(G.nodes)<10:
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# continue
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#如果反汇编有出错，则当前这个文件舍弃
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flag=1
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#为每个节点设置相关信息
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asm_hex_list=[]
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try:
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for e,dict in G.nodes.items():
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asm_hex = e.block.bytes.hex().replace("0x", "")
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asm_hex_list.append(asm_hex)
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f_asm2vec_plus_16_list =get_node_feature(hex_asm=asm_hex_list, node_feature_method="asm2vec_plus_16")
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except:
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continue
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if flag==1:
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nodes_num=len(cfg.graph.nodes())
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edgs_num=len(cfg.graph.edges())
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csv_data.append([file_item+".gexf",str(nodes_num),str(edgs_num)])
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with open(csv_save_path,'w',encoding='utf-8',newline='') as fp:
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writer =csv.writer(fp)
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writer.writerow(header)
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writer.writerows(csv_data)
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if __name__ == '__main__':
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bengin_data_dir = "../data/benign_last"
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bengin_list = os.listdir(bengin_data_dir)
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cfg_extract(bengin_list,data_dir=bengin_data_dir,csv_save_path="./benign_msg.csv",header = ['malware_name','nodes_num','edgs_num'])
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