asm_to_csv/json_feature2json.py

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import os
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from my_utils import save_json, load_json, setup_logger, multi_thread_order, THREAD_HALF,THREAD_FULL
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from bert.obtain_inst_vec import bb2vec
import multiprocessing
from tqdm import tqdm
import warnings
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from datetime import datetime
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def addr2vec(base_file_path):
# 从路径拆分文件名与路径
file_name = str(os.path.basename(base_file_path))
file_path = str(os.path.dirname(base_file_path))
# 忽略已生成的文件
if os.path.exists(os.path.join(file_path, 'final', file_name)):
return
# 如果不是路径则开始转化
if file_name:
file_json = load_json(base_file_path)
# 确保存在基础文件而不存在特征文件的情况
feature_json = load_json(os.path.join(file_path, 'feature', file_name)) if os.path.exists(
os.path.join(file_path, 'feature', file_name)) else None
if feature_json is not None:
feature_set = {}
for item in feature_json:
feature_set[item['addr']] = bb2vec(item['opcode'])
for item in file_json['acfg_list']:
bb_feature_addr_list = item['block_features']
item['block_features'] = [feature_set[key] for key in bb_feature_addr_list]
save_json(os.path.join(file_path, 'final', file_name), file_json)
else:
logger.error(f'文件{file_name}不存在特征文件')
return
if __name__ == '__main__':
logger = setup_logger('feature2json', './log/feature2json.log')
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sample_type = 'malware'
# json_path = os.path.join(f'./out/json/{sample_type}')
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json_path = os.path.join(f'./out/json/{sample_type}')
json_files = os.listdir(json_path)
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now = datetime.now()
formatted_now = now.strftime("%Y-%m-%d %H:%M:%S")
print("start time:", formatted_now)
# with multiprocessing.Pool(processes=os.cpu_count()) as pool:
# result = list(tqdm(pool.imap_unordered(addr2vec, [os.path.join(json_path, file) for file in json_files[:1] if os.path.isfile(os.path.join(json_path, file))]),
# total=len(json_files)))
multi_thread_order(addr2vec, [os.path.join(json_path, file) for file in json_files[::-1] if os.path.isfile(os.path.join(json_path, file))], thread_num=THREAD_FULL)
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# for json_file in json_files:
# addr2vec(json_path, json_file)