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@ -55,7 +55,7 @@ def convert(start, end):
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elif 'label' in line:
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elif 'label' in line:
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functions_list.append(line[line.find('= "') + 3:line.find('",')])
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functions_list.append(line[line.find('= "') + 3:line.find('",')])
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# 没有内部函数被检测到,保险起见还是不要这数据了
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# 没有内部函数被检测到,正常来说不应该,保险起见还是不要这数据了
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if raw_function_edges.__len__() == 0:
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if raw_function_edges.__len__() == 0:
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continue
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continue
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@ -113,4 +113,4 @@ def convert(start, end):
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if __name__ == '__main__':
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if __name__ == '__main__':
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convert(0, 35)
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convert(35, 69)
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@ -1,4 +1,5 @@
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# coding=utf-8
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# coding=utf-8
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import re
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import os
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import os
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import subprocess
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import subprocess
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import multiprocessing
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import multiprocessing
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@ -10,35 +11,52 @@ import time
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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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# 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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TIMEOUT = 60
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# 每个家族最大处理数量
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MAX_FAMILY_PROCESS_NUM = 200
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def call_preprocess(cmd_line):
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def call_preprocess(cmd_line):
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subprocess.call(cmd_line, shell=True)
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subprocess.call(cmd_line, shell=True)
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def batch_mode(start, end):
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def batch_mode(start, end):
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# 只选其中这些类的pe进行分析,其他的就直接跳过
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families_need_to_analyze = {'wacatac': 0, 'glupteba': 0, 'ulpm': 0, 'fugrafa': 0, 'tiggre': 0,
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'redcap': 0, 'generickdz': 0, 'berbew': 0, 'agenttesla': 0, 'lazy': 0}
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for workflow in range(start, end):
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for workflow in range(start, end):
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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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# pe_dir = 'D:\\hkn\\infected\\datasets\\virusshare_test'
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# pe_dir = 'D:\\hkn\\infected\\datasets\\virusshare_test'
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pe_dir = 'D:\\hkn\\infected\\datasets\\virusshare_infected{}'.format(workflow)
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family_path = 'D:\\hkn\\infected\\datasets\\virusshare_family\\virusshare_family{}.txt'.format(workflow)
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log_path = 'D:\\hkn\\infected\\datasets\\logging\\ida_log{}.log'.format(workflow)
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log_path = 'D:\\hkn\\infected\\datasets\\logging\\ida_log{}.log'.format(workflow)
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process_log_path = 'D:\\hkn\\infected\\datasets\\logging\\ida_process_log{}.log'.format(workflow)
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process_log_path = 'D:\\hkn\\infected\\datasets\\logging\\ida_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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with open(log_path, 'a+') as log, open(process_log_path, 'a+') as process_log, open(family_path,
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'r') as family_file:
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logged = log.readline()
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logged = log.readline()
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if logged == '':
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if logged == '':
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log_index = 0
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log_index = 0
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else:
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else:
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log_index = int(logged)
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log_index = int(logged)
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# pe = "VirusShare_bc161e5e792028e8137aa070fda53f82"
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families = family_file.read()
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for index, pe in enumerate(tqdm(sorted(os.listdir(pe_dir)))):
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for index, pe in enumerate(tqdm(sorted(os.listdir(pe_dir)))):
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if index < log_index:
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if index < log_index:
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continue
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continue
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# for test
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# 匹配文件md5,取出family文件中该md5的家族
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regex = re.compile(pe[11:] + r'[\t][\S]*')
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search_result = regex.findall(families)
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if len(search_result) == 0:
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continue
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pe_family = search_result[0].split()[1]
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if pe_family not in families_need_to_analyze:
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continue
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# FOR TEST ONLY
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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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# 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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# 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 = multiprocessing.Process(target=call_preprocess, args=[cmd_line])
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p.start()
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p.start()
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@ -53,7 +71,8 @@ def batch_mode(start, end):
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if flag_kill:
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if flag_kill:
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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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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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else:
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# 正常运行结束
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# 正常运行结束
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log.truncate(0)
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log.truncate(0)
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@ -61,6 +80,8 @@ def batch_mode(start, end):
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log.write(str(index))
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log.write(str(index))
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log.flush()
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log.flush()
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process_log.write("index {}, {} process done.\n".format(index, pe))
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process_log.write("index {}, {} process done.\n".format(index, pe))
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families_need_to_analyze[pe_family] += 1
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# 一次workflow结束后将所有副产物删除
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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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delete_output()
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@ -68,10 +89,11 @@ def batch_mode(start, end):
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def delete_output():
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def delete_output():
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out_dir = 'F:\\iout'
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out_dir = 'F:\\iout'
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for f in os.listdir(out_dir):
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for f in os.listdir(out_dir):
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os.remove(f)
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if os.path.exists(os.path.join(out_dir, f)):
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os.remove(os.path.join(out_dir, f))
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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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# 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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# F:\\kkk\\IDA_6.6
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# F:\\kkk\\IDA_6.6
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if __name__ == '__main__':
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if __name__ == '__main__':
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batch_mode(20, 35)
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batch_mode(36, 69)
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@ -6,6 +6,7 @@ import time
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import json
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import json
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import random
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import random
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import shutil
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import shutil
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from tqdm import tqdm
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def func():
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def func():
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@ -25,21 +26,27 @@ def func1():
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def create_dir():
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def create_dir():
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parent_dir = "D:\\hkn\\infected\\datasets"
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parent_dir = "D:\\hkn\\infected\\datasets"
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for workflow in range(35, 40):
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for workflow in range(40, 70):
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# 生成raw data文件夹
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# 生成raw data文件夹
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# infected = "virusshare_infected{}".format(workflow)
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infected = "virusshare_infected{}".format(workflow)
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# cfg = "virusshare_infected{}_cfg".format(workflow)
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cfg = "virusshare_infected{}_cfg".format(workflow)
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# dot = "virusshare_infected{}_dot".format(workflow)
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dot = "virusshare_infected{}_dot".format(workflow)
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jsonl = "virusshare_infected{}_json".format(workflow)
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jsonl = "virusshare_infected{}_json".format(workflow)
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# os.mkdir(os.path.join(parent_dir, infected))
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create(parent_dir, infected)
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# os.mkdir(os.path.join(parent_dir, cfg))
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create(parent_dir, cfg)
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# os.mkdir(os.path.join(parent_dir, dot))
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create(parent_dir, dot)
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os.mkdir(os.path.join(parent_dir, jsonl))
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create(parent_dir, jsonl)
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# iout = "virusshare_infected{}_iout".format(workflow)
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# iout = "virusshare_infected{}_iout".format(workflow)
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# os.rmdir(os.path.join(parent_dir, iout))
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# os.rmdir(os.path.join(parent_dir, iout))
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# os.rmdir(os.path.join(parent_dir, ida))
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# os.rmdir(os.path.join(parent_dir, ida))
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def create(parent_dir, folder):
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if not os.path.exists(os.path.join(parent_dir, folder)):
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os.mkdir(os.path.join(parent_dir, folder))
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def change_max_item_lines():
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def change_max_item_lines():
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f = open("F:\\kkk\\IDA_6.6\\cfg\\ida.cfg", 'rb')
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f = open("F:\\kkk\\IDA_6.6\\cfg\\ida.cfg", 'rb')
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s = f.read()
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s = f.read()
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@ -82,7 +89,7 @@ def delete_error():
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def check_json():
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def check_json():
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for workflow in range(5, 16):
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for workflow in tqdm(range(0, 69)):
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json_dir = 'D:\\hkn\\infected\\datasets\\virusshare_infected{}_json'.format(workflow)
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json_dir = 'D:\\hkn\\infected\\datasets\\virusshare_infected{}_json'.format(workflow)
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for json_file in os.listdir(json_dir):
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for json_file in os.listdir(json_dir):
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f = open(os.path.join(json_dir, json_file), 'r')
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f = open(os.path.join(json_dir, json_file), 'r')
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print(line[line.find('= "') + 3:line.find('",')])
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print(line[line.find('= "') + 3:line.find('",')])
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# 临时工具,有些pe文件没有经过api分类,直接删掉
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def del_redundant():
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for workflow in range(0, 68):
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pe_dir = 'D:\\hkn\\infected\\datasets\\virusshare_infected{}'.format(workflow)
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family_file_path = 'D:\\hkn\\infected\\datasets\\virusshare_family\\virusshare_family{}.txt'.format(workflow)
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with open(family_file_path, 'r') as f_file:
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family = f_file.read()
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for name in os.listdir(pe_dir):
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if name[11:] in family:
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continue
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else:
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# print(name)
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os.remove(os.path.join(pe_dir, name))
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if __name__ == '__main__':
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if __name__ == '__main__':
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# create_dir()
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# create_dir()
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# change_max_item_lines()
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# change_max_item_lines()
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@ -192,8 +215,9 @@ if __name__ == '__main__':
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# delete_jsonl()
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# delete_jsonl()
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# check_json()
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# check_json()
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split_samples()
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split_samples()
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rename()
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# rename()
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# half_divide()
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# half_divide()
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# copy_train_data()
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# copy_train_data()
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# clear_dot()
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# clear_dot()
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# read_test()
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# read_test()
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# del_redundant()
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