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@ -3,24 +3,49 @@ import pickle as pk
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import re
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import json
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import os
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from tqdm import tqdm
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def convert():
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# for workflow in range(0, 20):
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workflow = 0
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def convert(start, end):
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for workflow in range(start, end):
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# workflow = 0
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cfg_dir = "D:\\hkn\\infected\\datasets\\virusshare_infected{}_cfg".format(workflow)
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output_dir = "D:\\hkn\\infected\\datasets\\virusshare_infected{}_json".format(workflow)
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dot_path = "D:\\hkn\\infected\\datasets\\virusshare_infected{}_dot".format(workflow)
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dot_dir = "D:\\hkn\\infected\\datasets\\virusshare_infected{}_dot".format(workflow)
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log_path = "D:\\hkn\\infected\\datasets\\logging\\convert_log{}.log".format(workflow)
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process_log_path = "D:\\hkn\\infected\\datasets\\logging\\convert_process_log{}.log".format(workflow)
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with open(log_path, 'a+') as log, open(process_log_path, 'a+') as process_log:
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logged = log.readline()
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if logged == '':
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log_index = 0
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else:
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log_index = int(logged)
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for index, cfg in enumerate(tqdm(os.listdir(cfg_dir))):
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if index < log_index:
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continue
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for cfg in os.listdir(cfg_dir):
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name = cfg[:-4] # 纯文件名,不带后缀
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cfg_file = open(os.path.join(cfg_dir, name + '.ida'), 'r')
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try:
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data = pk.load(cfg_file)
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except EOFError:
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process_log.write("index {}, {} process failed. EOFError occurred.\n".format(index, cfg))
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continue
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except ValueError:
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process_log.write("index {}, {} process failed. ValueError occurred.\n".format(index, cfg))
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continue
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cfg_file.close()
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dot_file_path = os.path.join(dot_dir, name + '.dot')
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if not os.path.exists(dot_file_path):
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process_log.write("index {}, {} process failed. dot file not exists.\n".format(index, cfg))
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else:
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# 打开dot文件获取fcg
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raw_function_edges = []
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with open(os.path.join(dot_path, name + '.dot'), 'r') as dot:
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with open(dot_file_path, 'r') as dot:
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for line in dot:
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if '->' in line:
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raw_function_edges.append(re.findall(r'\b\d+\b', line))
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@ -38,8 +63,8 @@ def convert():
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# 这里2是因为Genius框架提取特征时将后代数量放在2
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offspring = [d.get('v')[2] for d in acfg.g.node.values()]
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# 将后代数量的特征放入bb_features中
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for i, f in enumerate(acfg.bb_features):
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f.append(offspring[i])
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for i, offs in enumerate(offspring):
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acfg.bb_features[i].append(offs)
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acfg_item = {
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'block_number': acfg.g.__len__(),
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@ -51,10 +76,17 @@ def convert():
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json_obj['function_names'].append(acfg.funcname)
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# 将结果写入json本地文件
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result = json.dumps(json_obj)
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result = json.dumps(json_obj, ensure_ascii=False)
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with open(os.path.join(output_dir, name + '.jsonl'), 'w') as out:
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out.write(result)
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log.truncate(0)
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log.seek(0)
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log.write(str(index))
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log.flush()
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process_log.write("index {}, {} process done.\n".format(index, cfg))
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if __name__ == '__main__':
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convert()
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convert(20, 35)
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@ -6,6 +6,8 @@ from tqdm import tqdm
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import time
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# 单个pe文件处理超时/s
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# 多次处理,一批数据中只有少量文件会超时
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# 所有数据处理完成后可以对这些数据再进行一次更长超时时间的处理,若仍然超时则放弃
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TIMEOUT = 60
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@ -14,7 +16,7 @@ def call_preprocess(cmd_line):
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def batch_mode():
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for workflow in range(0, 1):
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for workflow in range(1, 20):
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# workflow = 0
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pe_dir = 'D:\\hkn\\infected\\datasets\\virusshare_infected{}'.format(workflow)
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# for test
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@ -36,7 +38,8 @@ def batch_mode():
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# for test
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# cmd_line = r'idaq64 -c -A -S"D:\hkn\project_folder\Gencoding3\Genius3\raw-feature-extractor\preprocessing_ida.py {}" -oF:\iout {}'.format(
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# workflow, os.path.join(pe_dir, pe))
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cmd_line = r'idaq64 -c -A -S"D:\hkn\project_folder\Gencoding3\Genius3\raw-feature-extractor\preprocessing_ida.py {}" -oF:\iout {}'.format(workflow, os.path.join(pe_dir, pe))
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cmd_line = r'idaq64 -c -A -S"D:\hkn\project_folder\Gencoding3\Genius3\raw-feature-extractor\preprocessing_ida.py {}" -oF:\iout {}'.format(
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workflow, os.path.join(pe_dir, pe))
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p = multiprocessing.Process(target=call_preprocess, args=[cmd_line])
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p.start()
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@ -51,7 +54,8 @@ def batch_mode():
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if flag_kill:
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subprocess.call('taskkill /im idaq64.exe /f')
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process_log.write("index {}, {} in workflow {} stuck, process terminated.\n".format(index, pe, workflow))
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process_log.write(
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"index {}, {} in workflow {} stuck, process terminated.\n".format(index, pe, workflow))
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else:
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# 正常运行结束
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log.truncate(0)
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@ -59,6 +63,14 @@ def batch_mode():
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log.write(str(index))
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log.flush()
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process_log.write("index {}, {} process done.\n".format(index, pe))
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# 一次workflow结束后将所有副产物删除
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delete_output()
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def delete_output():
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out_dir = 'F:\\iout'
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os.rmdir(out_dir)
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os.mkdir(out_dir)
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# 注意:该py文件必须放在IDA的根目录下,且必须使用cmd命令执行,否则无法链接到python库
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@ -15,7 +15,7 @@ def print_obj(obj):
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# sub_10F20 308 反编译代码有字符串,但是这个特征提取里没有字符串 constant,可能是间接引用的,不识别。看了下所有函数的特征,几乎都没有字符串常量,可能都是写在别的地方然后引用的。
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# sub_166C4 393
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if __name__ == '__main__':
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testpath = "D:\\hkn\\infected\\datasets\\virusshare_infected0_cfg\\VirusShare_cd53c6637ca75ac5fc1cbe6d2ced41a1.ida"
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testpath = "D:\\hkn\\infected\\datasets\\virusshare_infected11_cfg\\VirusShare_5c088a2a6e0391b7c6ab22e4648eab3a.ida"
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fr = open(testpath, 'r')
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data = pickle.load(fr) #一个二进制文件的acfgs
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fr.close()
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@ -63,8 +63,22 @@ def clock():
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subprocess.call('taskkill /im idaq64.exe /f')
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def delete_error():
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for workflow in range(0, 35):
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convert_log_path = "D:\\hkn\\infected\\datasets\\logging\\convert_process_log{}.log".format(workflow)
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json_dir = "D:\\hkn\\infected\\datasets\\virusshare_infected{}_json".format(workflow)
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with open(convert_log_path, 'r') as log:
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for line in log:
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if 'Error occurred' in line:
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name = line[line.find(',') + 2: line.find('.')] + '.jsonl'
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# print(os.path.join(json_dir, name))
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if os.path.exists(os.path.join(json_dir, name)):
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os.remove(os.path.join(json_dir, name))
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if __name__ == '__main__':
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# gen_dir()
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# change_max_item_lines()
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subprocess.call('taskkill /im idaq64.exe /f')
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# subprocess.call('taskkill /im idaq64.exe /f')
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delete_error()
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