async def health_check(self):
while True:
await asyncio.sleep(1)
for shard, last_checkin in self.last_checkin.items():
if last_checkin is not None and last_checkin < datetime.now() - timedelta(seconds=5):
logger.error(f"--- SHARD {shard} MISSED ITS HEARTBEAT, DEREGISTERING... ---")
self.registered[shard] = False
self.last_checkin[shard] = None
async def cache_guild(self, guild):
'''cache interesting information about all the messages in a guild'''
logger.debug(f"Downloading messages in {len(guild.channels)} channels for '{guild.name}'...")
for channel in guild.text_channels:
try:
await self.cache_channel(channel)
except Forbidden:
logger.warning(f"Insuffcient permissions to download messages from '{guild.name}.{channel.name}'")
except HTTPException as e:
logger.error(f"Caught {e} when downloading '{guild.name}.{channel.name}'")
logger.error("trying again in 10 seconds...")
await asyncio.sleep(10)
try:
await self.cache_channel(channel)
except Exception:
logger.exception("failed to download channel a second time, giving up :(")
def train(model, optimizer, scheduler, ema, bert_config, start_step, steps_num,
epoch):
model.train()
tokenizer, train_dataloader = load_data(bert_config)
clamped_losses = []
origin_losses = []
exact_match_total = 0
f1_total = 0
exact_match = 0
f1 = 0
logger.info("start_step train:")
softmax = torch.nn.Softmax(dim=-1)
log_sofmax = torch.nn.LogSoftmax(dim=-1)
for step, batch in enumerate(train_dataloader):
try:
optimizer.zero_grad()
batch = tuple(t.to(device) for t in batch)
input_ids, input_mask, segment_ids, start_positions, end_positions = batch
start_positions, end_positions = start_positions.to(
device), end_positions.to(device)
input_mask = input_mask.float()
start_embeddings, end_embeddings = model(input_ids, input_mask,
segment_ids)
loss1 = F.nll_loss(log_sofmax(start_embeddings),
start_positions,
reduction='mean')
loss2 = F.nll_loss(log_sofmax(end_embeddings),
end_positions,
reduction='mean')
loss = (loss1 + loss2) / 2
logger.info(f"Origin Loss: {loss}, epoch: {epoch}, step: {step}")
origin_losses.append(loss.item())
pre_start, pre_end, probabilities = find_max_proper_batch(
softmax(start_embeddings), softmax(end_embeddings))
pre_loss = loss
cur_res = convert_pre_res(input_ids, pre_start, pre_end,
start_positions, end_positions,
probabilities, tokenizer)
loss = torch.clamp(loss, min=config.min_loss, max=config.max_loss)
logger.info(f"Clamped Loss: {loss}, epoch: {epoch}, step: {step}")
clamped_losses.append(loss.item())
loss.backward()
record_info(valid_result=cur_res, epoch=epoch, is_continue=True)
exact_match_total, f1_total, exact_match, f1 = evaluate_valid_result(
cur_res, exact_match_total, f1_total,
(step + 1) * config.n_batch)
visual_data(model,
loss,
pre_loss,
optimizer,
epoch,
step,
exact_match_total,
f1_total,
exact_match,
f1,
label="train")
optimizer.step()
scheduler.step()
if config.use_ema:
for name, p in model.named_parameters():
if p.requires_grad: ema.update_parameter(name, p)
if step % config.interval_save == 0:
save_model(model, optimizer, step)
record_info(origin_losses, r_type="train", epoch=epoch)
origin_losses = []
except Exception:
logger.error(traceback.format_exc())
loss_avg = np.mean(clamped_losses)
logger.info("Epoch {:8d} loss {:8f}\n".format(epoch, loss_avg))
# parser = argparse.ArgumentParser()
# parser.add_argument("--mode", action="store", dest="mode", default="train",
# help="train/test/debug")
# pargs = parser.parse_args()
mode = config.mode
logger.info("Current device is {}".format(device))
if mode == "train":
train_entry()
elif mode == "debug":
config.batch_size = 2
config.num_steps = 32
config.test_num_batches = 2
config.val_num_batches = 2
config.checkpoint = 2
config.period = 1
train_entry()
elif mode == "test":
test_entry()
elif mode == "classify":
classify_data()
else:
print("Unknown mode")
exit(0)
if __name__ == '__main__':
try:
main()
except Exception:
logger.error(traceback.format_exc())
logfilepath = os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])),
finishlogfile)
with open(logfilepath, 'wb+') as f:
f.write(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
if __name__ == '__main__':
# 获取时间戳
logger.info("----------------- Progrem Start ---------------------")
try:
paramsfile = "param.json"
paramsfilepath = os.path.join(work_path, paramsfile)
with open(paramsfilepath) as f:
params = json.load(f)
except Exception as E:
logger.error("Can not find {0}".format(paramsfile))
sys.exit(1)
# 处理debug标签
debug_flag = params.get("debug")
if debug_flag is True:
fullname = "debug.log"
sys.stderr = open(fullname, "w+")
else:
sys.stderr = None
# 处理最大连接数
max_socket_count = params.get("maxsocket")
if max_socket_count <= 100:
max_socket_count = 100
elif max_socket_count >= 1000:
def bruteforce_interface(portScan_result_list, timeout, no_default_dict, proto_list, pool):
password_total = Password_total()
password_total.init(no_default_dict)
try:
import psycopg2
tasksQueue = Queue.Queue()
postgreSQL_login = PostgreSQL_login()
for one_portscan_result in portScan_result_list:
service = one_portscan_result.get("service").lower()
ipaddress = one_portscan_result.get("ipaddress")
port = one_portscan_result.get("port")
if "postgresql" in service and "postgresql" in proto_list:
tasksQueue.put(
(postgreSQL_login.login, (ipaddress, port, password_total.PostgreSQL_user_passwd_pair_list)))
runner = Runer(100)
runner.taskQueue = tasksQueue
runner.start()
except Exception as E:
logger.warning("Can not import OpenSSL,PostgreSQL pass")
# 协程扫描
patch_all()
try:
import gevent_openssl
gevent_openssl.monkey_patch()
from bruteforce.rdp_check import check_rdp
SSL_FLAG = True
except Exception as E:
logger.error("Can not import OpenSSL,RDP pass")
SSL_FLAG = False
if SSL_FLAG:
rdp_login = RDP_login(timeout) # 1.07500004768
smb_login = SMB_login(timeout) # 1.08800005913
ssh_login = SSH_login(timeout) # 30.617000103
ftp_login = FTP_login(timeout) # 9.10599994659
mysql_login = MySQL_login(timeout) # 15.7749998569
mssql_login = MSSQL_login(timeout) # 1.04799985886
redis_login = Redis_login(timeout) # 12.3710000515
mongo_login = MongoDB_login(timeout) # 12.9830000401
memcached_login = Memcached_login(timeout) # 2.07899999619
vnc_login = VNC_login(timeout) # 6.06700015068
pool = pool
tasks = []
for one_portscan_result in portScan_result_list:
service = one_portscan_result.get("service").lower()
ipaddress = one_portscan_result.get("ipaddress")
port = one_portscan_result.get("port")
# 快的扫描
if SSL_FLAG:
if ("ms-wbt-server" in service or "rdp" in service) and "rdp" in proto_list and SSL_FLAG:
task = pool.spawn(rdp_login.login, ipaddress, port, password_total.RDP_user_passwd_pair_list)
tasks.append(task)
if "ssh" in service and "ssh" in proto_list: # 原生支持协程,直接扫描
ssh_login.login_with_pool(ipaddress, port, password_total.SSH_user_passwd_pair_list, pool.size)
if "mongodb" in service and "mongodb" in proto_list:
task = pool.spawn(mongo_login.login, ipaddress, port, password_total.MongoDB_user_passwd_pair_list)
tasks.append(task)
if "ftp" in service and "ftp" in proto_list:
task = pool.spawn(ftp_login.login, ipaddress, port, password_total.FTP_user_passwd_pair_list)
tasks.append(task)
if "microsoft-ds" in service and "smb" in proto_list:
task = pool.spawn(smb_login.login, ipaddress, port, password_total.SMB_user_passwd_pair_list)
tasks.append(task)
if "mysql" in service and "mysql" in proto_list:
task = pool.spawn(mysql_login.login, ipaddress, port, password_total.MYSQL_user_passwd_pair_list)
tasks.append(task)
if "ms-sql-s" in service and "mssql" in proto_list:
task = pool.spawn(mssql_login.login, ipaddress, port, password_total.MSSQL_user_passwd_pair_list)
tasks.append(task)
if "redis" in service and "redis" in proto_list:
task = pool.spawn(redis_login.login, ipaddress, port, password_total.Redis_user_passwd_pair_list)
tasks.append(task)
if "memcached" in service and "memcached" in proto_list:
task = pool.spawn(memcached_login.login, ipaddress, port, password_total.Memcached_user_passwd_pair_list)
tasks.append(task)
if "vnc" in service and "vnc" in proto_list:
task = pool.spawn(vnc_login.login, ipaddress, port, password_total.VNC_user_passwd_pair_list)
tasks.append(task)
gevent.joinall(tasks)
