2024西湖论剑misc方向wp

每年的misc都是最无聊坐牢的

在这里插入图片描述

数据安全-easy_tables

import pandas as pd
import hashlib
from datetime import datetimeusers_df = pd.read_csv('users.csv')
permissions_df = pd.read_csv('permissions.csv')
tables_df = pd.read_csv('tables.csv')
actionlog_df = pd.read_csv('actionlog.csv')#判断操作是否在允许的操作中
def is_action_allowed(allowed_actions, action):return action in allowed_actions#判断表是否在允许的表中
def is_table_allowed(allowed_tables, table_name):return str(table_name) in allowed_tables#检查时间
def is_time_in_range(time_str, time_range_str):time = datetime.strptime(time_str, "%H:%M:%S").time()for period in time_range_str.split(','):start, end = period.split('~')start_time = datetime.strptime(start, "%H:%M:%S").time()end_time = datetime.strptime(end, "%H:%M:%S").time()if start_time <= time <= end_time:return Truereturn Falsedef calculate_md5(s):return hashlib.md5(s.encode()).hexdigest()user_permission_group = {row['账号']: row['所属权限组编号'] for index, row in users_df.iterrows()}
group_permissions = {row['编号']: row['可操作权限'].split(',') for index, row in permissions_df.iterrows()}
group_tables = {row['编号']: row['可操作表编号'].split(',') for index, row in permissions_df.iterrows()}
table_times = {row['编号']: row['可操作时间段(时:分:秒)'] for index, row in tables_df.iterrows()}bad = []for index, log in actionlog_df.iterrows():user = log['账号']operation = log['执行操作'].split()[0]  # 操作类型 (insert, delete,......),并且不同的类型出现的表位置不同if(operation == 'update'):table_name = log['执行操作'].split()[1]elif(operation == 'select'):table_name = log['执行操作'].split()[3]else:table_name = log['执行操作'].split()[2]operation_time = log['操作时间'].split()[1]# print(user,operation,table_name,operation_time)# 检查账号是否存在if user not in user_permission_group:bad.append(f"0_0_0_{log['编号']}")continuepermission_group_id = user_permission_group[user]allowed_actions = group_permissions.get(permission_group_id, [])allowed_tables = group_tables.get(permission_group_id, [])# print(allowed_tables,allowed_actions)# 检查表是否存在及是否允许操作此表table_id = tables_df[tables_df['表名'] == table_name]['编号'].valuesif len(table_id) == 0 or not is_table_allowed(allowed_tables, table_id[0]):print('can')bad.append(f"{users_df[users_df['账号'] == user]['编号'].values[0]}_{permission_group_id}_{table_id[0]}_{log['编号']}")continueelse:table_id = table_id[0]# 检查操作权限if not is_action_allowed(allowed_actions, operation):print('allow')bad.append(f"{users_df[users_df['账号'] == user]['编号'].values[0]}_{permission_group_id}_{table_id}_{log['编号']}")continue# 检查操作时间allowed_time_ranges = table_times.get(table_id, "")if not is_time_in_range(operation_time, allowed_time_ranges):print('time')bad.append(f"{users_df[users_df['账号'] == user]['编号'].values[0]}_{permission_group_id}_{table_id}_{log['编号']}")print(bad)
bad_sort = ','.join(sorted(bad, key=lambda x: [int(i) for i in x.split('_')]))
flag_md5 = hashlib.md5(bad_sort.encode()).hexdigest()
flag_auto = f"DASCTF{{{flag_md5}}}"print(bad_sort)
print(flag_auto)

allow
can
allow
time
can
time
time
['30_87_36_235', '7_64_69_3448', '9_18_61_5681', '6_14_91_6786', '0_0_0_6810', '49_37_30_8295', '0_0_0_8377', '75_15_43_8461', '79_3_15_9011', '31_76_85_9617']
0_0_0_6810,0_0_0_8377,6_14_91_6786,7_64_69_3448,9_18_61_5681,30_87_36_235,31_76_85_9617,49_37_30_8295,75_15_43_8461,79_3_15_9011 
DASCTF{271b1ffebf7a76080c7a6e134ae4c929}