SubDomainsBrute简介
SubDomainsBrute是一款目标域名收集工具 ，用小字典递归地发现三级域名、四级域名、五级域名等不容易被探测到的域名。字典较为全面，小字典就包括3万多条，大字典多达8万条。默认使用114DNS、百度DNS、阿里DNS这几个快速又可靠的公共DNS进行查询，可随时修改配置文件添加你认为可靠的DNS服务器。自动筛选泛解析的域名，当前规则是： 超过10个域名指向同一IP，则此后发现的其他指向该IP的域名将被丢弃。整体速度还可以，每秒稳定扫描100到200个域名（10个线程）。
工具可从github上 获取。
Github地址： https://github.com/lijiejie/subDomainsBrute
目录
dict #存放dns目录和域名字典
lib
--__init__.py
--cmdline.py #参数设置
--common_py2.py #获取域名字典
--common_py3.py #检查dns是否可用
--common.py #获取字典
--consle_width.py
--scanner_py2.py #为3.5版本以下的域名扫描文件
--scanner_py3.py #为3.5版本以上的域名扫描文件
subDomainsBrute.py 函数入口处
执行流程
一.检查参数和字典
获取命令行输入的参数
#subDomainsBrute.py options, args = parse_args() 根据域名创建子文件，存放子域名信息
#subDomainsBrute.py tmp_dir = 'tmp/%s_%s' % (args[0], int(time.time())) if not os.path.exists(tmp_dir): os.makedirs(tmp_dir) 调用common_py3.py中的load_next_sub()函数，传入命令行输入的参数作为函数参数，得到公共dns列表
#subDomainsBrute.py dns_servers = load_dns_servers() 进入load_dns_servers()查看，其中dns_servers.txt存放公共dns：如119.29.29.29是腾讯DNSPod公共DNS，还有114dns（114.114.114.114），阿里（223.5.5.5.5），百度（180.76.76.76），360（101.226.4.6），google（8.8.8.8）等 ，使用一个已经存在的域名验证dns是否有效，
#common_py3.py def load_dns_servers(): print_msg('[+] Validate DNS servers', line_feed=True) dns_servers = [] servers_to_test = [] #存储可用的dns地址 for server in open('dict/dns_servers.txt').readlines(): #遍历dns的Ip地址 server = server.strip() #移除字符串头尾指定的字符（默认为空格或换行符） if server and not server.startswith('#'): #检查字符串是否是以#开头，将不以#开头的加入 servers_to_test.append(server) #将不以#开头的添加到列表 loop = asyncio.get_event_loop() loop.run_until_complete(async_load_dns_servers(servers_to_test, dns_servers)) #调用async_load_dns_servers函数 # loop.close() server_count = len(dns_servers) print_msg('n[+] %s DNS Servers found' % server_count, line_feed=True) if server_count == 0: print_msg('[ERROR] No valid DNS Server !', line_feed=True) sys.exit(-1) return dns_servers #返回公共dns列表 #进入async_load_dns_servers async def async_load_dns_servers(servers_to_test, dns_servers): #async为异步标志 tasks = [] for server in servers_to_test: task = test_server_python3(server, dns_servers) #调用test_server_python3函数 tasks.append(task) await asyncio.gather(*tasks) #异步执行 #进入test_server_python3() async def test_server_python3(server, dns_servers): resolver = aiodns.DNSResolver() try: resolver.nameservers = [server] answers = await resolver.query('public-dns-a.baidu.com', 'A') #一个已经存在的域名 if answers[0].host != '180.76.76.76': #判断解析是否正确 raise Exception('Incorrect DNS response') try: await resolver.query('test.bad.dns.lijiejie.com', 'A') #尝试一个不存在的域名 with open('bad_dns_servers.txt', 'a') as f: f.write(server + 'n') #解析失败，dns无效写入bad_dns_servers.txt文件 print_msg('[+] Bad DNS Server found %s' % server) except Exception as e: dns_servers.append(server) #解析正确判断为有效dns，加入列表 print_msg('[+] Server %s < OK > Found %s' % (server.ljust(16), len(dns_servers))) except Exception as e: print_msg('[+] Server %s <Fail> Found %s' % (server.ljust(16), len(dns_servers))) 回到入口程序，然后调用了common_py3.py中的load_next_sub()函数，得到子域名字典，进入load_next_sub()查看
#subDomainsBrute.py next_subs = load_next_sub(options) #common_py3.py def load_next_sub(options): next_subs = [] _file = 'dict/next_sub_full.txt' if options.full_scan else 'dict/next_sub.txt' #根据参数判断使用哪个字典 with open(_file) as f: for line in f: sub = line.strip() #移除每行头尾空格和换行 if sub and sub not in next_subs: #判断是否在next_subs中重复 tmp_set = {sub} while tmp_set: item = tmp_set.pop() if item.find('{alphnum}') >= 0: for _letter in 'abcdefghijklmnopqrstuvwxyz0123456789': tmp_set.add(item.replace('{alphnum}', _letter, 1)) elif item.find('{alpha}') >= 0: for _letter in 'abcdefghijklmnopqrstuvwxyz': tmp_set.add(item.replace('{alpha}', _letter, 1)) elif item.find('{num}') >= 0: for _letter in '0123456789': tmp_set.add(item.replace('{num}', _letter, 1)) elif item not in next_subs: next_subs.append(item) #多次判断是否存在{alphnum}、{alpha}、{num}进行替换，替换后加入到子域名列表中 return next_subs #返回子域名列表 使用multiprocessing多进程共享数据。i代表类型为int整数，0代表初始值
#subDomainsBrute.py scan_count = multiprocessing.Value('i', 0) found_count = multiprocessing.Value('i', 0) queue_size_array = multiprocessing.Array('i', options.process) multiprocessing.Value(typecode_or_type, *args, lock=True) #共享单个数据，其值通过value属性访问。
typecode_or_type：数组中的数据类型，为代表数据类型的类或者str。比如，'i'表示int，'f'表示float。 args：可以设置初始值。比如：multiprocessing.Value('d',6)生成值为6.0的数据。 lock：bool，是否加锁。
判断w参数不存在时，主程序调用wildcard_test()函数，进入wildcard_test()查看， 和test_server相似 ，通配符测试失败后建议使用参数-w强制扫描
#subDomainsBrute.py if not options.w: domain = wildcard_test(args[0], dns_servers) else: domain = args[0] #common_py2.py def wildcard_test(domain, dns_servers, level=1): try: r = dns.resolver.Resolver(configure=False) r.nameservers = dns_servers answers = r.query('lijiejie-not-existed-test.%s' % domain) ips = ', '.join(sorted([answer.address for answer in answers])) if level == 1: print('any-sub.%st%s' % (domain.ljust(30), ips)) wildcard_test('any-sub.%s' % domain, dns_servers, 2) elif level == 2: print('nUse -w to enable force scan wildcard domain') sys.exit(0) except Exception as e: return domain 然后调用get_sub_file_path()，将字典相对路径返回并赋值
#subDomainsBrute.py options.file = get_sub_file_path(options) #common_py2.py def get_sub_file_path(options): if options.full_scan and options.file == 'subnames.txt': sub_file_path = 'dict/subnames_full.txt' #判断使用参数--full和subnames.txt才使用subnames.txt字典 else: if os.path.exists(options.file): sub_file_path = options.file elif os.path.exists('dict/%s' % options.file): sub_file_path = 'dict/%s' % options.file else: print_msg('[ERROR] Names file not found: %s' % options.file) exit(-1) return sub_file_path #返回字典的具体路径 二.域名获取
根据输入的进程数设置进程数，添加到进程池中，并设置了run_process()函数
#subDomainsBrute.py all_process = [] for process_num in range(options.process): p = multiprocessing.Process(target=run_process, args=(domain, options, process_num, dns_servers, next_subs,scan_count, found_count, queue_size_array, tmp_dir)) all_process.append(p) p.start() 到run_process()中查看
#subDomainsBrute.py def run_process(*params): signal.signal(signal.SIGINT, user_abort) s = SubNameBrute(*params) #定义该类 s.run() #scanner_py2.py class SubNameBrute(object): def __init__(self, *params): #SubNameBrute类中首先执行函数 self.domain, self.options, self.process_num, self.dns_servers, self.next_subs, self.scan_count, self.found_count, self.queue_size_array, tmp_dir = params #传入参数 /* ... #默认参数赋值 */ self.outfile = open('%s/%s_part_%s.txt' % (tmp_dir, self.domain, self.process_num), 'w') #定义输出文件 self.normal_names_set = set() self.load_sub_names() #调用自身的load_sub_names函数 self.lock = RLock() self.threads_status = ['1'] * self.options.threads def load_sub_names(self): #返回测试域名列表作为字典 normal_lines = [] wildcard_lines = [] wildcard_set = set() regex_list = [] lines = set() with open(self.options.file) as inFile: for line in inFile.readlines(): sub = line.strip() if not sub or sub in lines: #排除sub为空和sub重复的情况 continue lines.add(sub) brace_count = sub.count('{') #检测{通配符}数量进行替换 if brace_count > 0: wildcard_lines.append((brace_count, sub)) sub = sub.replace('{alphnum}', '[a-z0-9]') sub = sub.replace('{alpha}', '[a-z]') sub = sub.replace('{num}', '[0-9]') if sub not in wildcard_set: wildcard_set.add(sub) regex_list.append('^' + sub + '$') else: normal_lines.append(sub) self.normal_names_set.add(sub) if regex_list: pattern = '|'.join(regex_list) _regex = re.compile(pattern) for line in normal_lines: if _regex.search(line): normal_lines.remove(line) for _ in normal_lines[self.process_num::self.options.process]: self.queue.put((0, _)) # priority set to 0 for _ in wildcard_lines[self.process_num::self.options.process]: self.queue.put(_) def run(self): threads = [gevent.spawn(self.scan, i) for i in range(self.options.threads)] gevent.joinall(threads) def scan(self, j): self.resolvers[j].nameservers = [self.dns_servers[j % self.dns_count]] + self.dns_servers while True: try: if time.time() - self.count_time > 1.0: self.lock.acquire() self.scan_count.value += self.scan_count_local self.scan_count_local = 0 self.queue_size_array[self.process_num] = self.queue.qsize() if self.found_count_local: self.found_count.value += self.found_count_local self.found_count_local = 0 self.count_time = time.time() self.lock.release() brace_count, sub = self.queue.get_nowait() self.threads_status[j] = '1' if brace_count > 0: brace_count -= 1 if sub.find('{next_sub}') >= 0: for _ in self.next_subs: self.queue.put((0, sub.replace('{next_sub}', _))) if sub.find('{alphnum}') >= 0: for _ in 'abcdefghijklmnopqrstuvwxyz0123456789': self.queue.put((brace_count, sub.replace('{alphnum}', _, 1))) elif sub.find('{alpha}') >= 0: for _ in 'abcdefghijklmnopqrstuvwxyz': self.queue.put((brace_count, sub.replace('{alpha}', _, 1))) elif sub.find('{num}') >= 0: for _ in '0123456789': self.queue.put((brace_count, sub.replace('{num}', _, 1))) continue except gevent.queue.Empty as e: self.threads_status[j] = '0' gevent.sleep(0.5) if '1' not in self.threads_status: break else: continue try: if sub in self.found_subs: continue self.scan_count_local += 1 cur_domain = sub + '.' + self.domain #子域名和域名拼接成当前域名 answers = self.resolvers[j].query(cur_domain) #请求dns进行解析当前域名 if answers: #返回解析存在执行if块 self.found_subs.add(sub) #添加到列表中 ips = ', '.join(sorted([answer.address for answer in answers])) #使用,分隔解析的ip字符串 if ips in ['1.1.1.1', '127.0.0.1', '0.0.0.0', '0.0.0.1']: #排除非正常ip continue if self.options.i and is_intranet(answers[0].address): #调用is_intranet判断ip不是内网地址时加入数组 continue try: self.scan_count_local += 1 answers = self.resolvers[j].query(cur_domain, 'cname') #根据cname记录查找新的域名别名 cname = answers[0].target.to_unicode().rstrip('.') #分隔新域名别名 if cname.endswith(self.domain) and cname not in self.found_subs: #判断当与原域名不同且不在发现的域名列表中时添加到域名列表中 cname_sub = cname[:len(cname) - len(self.domain) - 1] if cname_sub not in self.normal_names_set: self.found_subs.add(cname) self.queue.put((0, cname_sub)) except Exception as e: pass first_level_sub = sub.split('.')[-1] max_found = 20 if self.options.w: first_level_sub = '' max_found = 3 if (first_level_sub, ips) not in self.ip_dict: self.ip_dict[(first_level_sub, ips)] = 1 else: self.ip_dict[(first_level_sub, ips)] += 1 if self.ip_dict[(first_level_sub, ips)] > max_found: continue self.found_count_local += 1 self.outfile.write(cur_domain.ljust(30) + 't' + ips + 'n') self.outfile.flush() try: self.scan_count_local += 1 self.resolvers[j].query('lijiejie-test-not-existed.' + cur_domain) except (dns.resolver.NXDOMAIN, ) as e: # dns.resolver.NoAnswer if self.queue.qsize() < 50000: for _ in self.next_subs: self.queue.put((0, _ + '.' + sub)) else: self.queue.put((1, '{next_sub}.' + sub)) except Exception as e: pass except (dns.resolver.NXDOMAIN, dns.resolver.NoAnswer) as e: pass except dns.resolver.NoNameservers as e: self.queue.put((0, sub)) # Retry except dns.exception.Timeout as e: self.timeout_subs[sub] = self.timeout_subs.get(sub, 0) + 1 if self.timeout_subs[sub] <= 1: self.queue.put((0, sub)) # Retry except Exception as e: import traceback traceback.print_exc() with open('errors.log', 'a') as errFile: errFile.write('[%s] %sn' % (type(e), str(e))) 其中调用的is_intranet()函数如下，将10,172.16~31,192.168开头的判定为内网地址
#common.py def is_intranet(ip): ret = ip.split('.') if len(ret) != 4: return True if ret[0] == '10': return True if ret[0] == '172' and 16 <= int(ret[1]) <= 31: return True if ret[0] == '192' and ret[1] == '168': return True return False 三.数据输出
之后主程序根据进程活跃情况绘制进度条
#subDomainsBrute.py char_set = ['\', '|', '/', '-'] #进度条显示的字符 count = 0 while all_process: for p in all_process: if not p.is_alive(): all_process.remove(p) groups_count = 0 for c in queue_size_array: groups_count += c msg = '[%s] %s found, %s scanned in %.1f seconds, %s groups left' % ( char_set[count % 4], found_count.value, scan_count.value, time.time() - start_time, groups_count) print_msg(msg) count += 1 time.sleep(0.3) 之后调用get_out_file_name()函数获取输出文件名，将域名数据存放到文件中
#subDomainsBrute.py out_file_name = get_out_file_name(domain, options) all_domains = set() domain_count = 0 with open(out_file_name, 'w') as f: for _file in glob.glob(tmp_dir + '/*.txt'): with open(_file, 'r') as tmp_f: for domain in tmp_f: if domain not in all_domains: domain_count += 1 all_domains.add(domain) # cname query can result in duplicated domains f.write(domain) 函数调用关系图
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