import logging import csv from random import shuffle, randint, choice, uniform from lea import Lea from Attack import BaseAttack from Attack.AttackParameters import Parameter as Param from Attack.AttackParameters import ParameterTypes logging.getLogger("scapy.runtime").setLevel(logging.ERROR) # noinspection PyPep8 from scapy.layers.inet import IP, Ether, TCP class PortscanAttack(BaseAttack.BaseAttack): def __init__(self): """ Creates a new instance of the PortscanAttack. """ # Initialize attack super(PortscanAttack, self).__init__("Portscan Attack", "Injects a nmap 'regular scan'", "Scanning/Probing") # Define allowed parameters and their type self.supported_params = { Param.IP_SOURCE: ParameterTypes.TYPE_IP_ADDRESS, Param.IP_DESTINATION: ParameterTypes.TYPE_IP_ADDRESS, Param.PORT_SOURCE: ParameterTypes.TYPE_PORT, Param.PORT_DESTINATION: ParameterTypes.TYPE_PORT, Param.PORT_OPEN: ParameterTypes.TYPE_PORT, Param.MAC_SOURCE: ParameterTypes.TYPE_MAC_ADDRESS, Param.MAC_DESTINATION: ParameterTypes.TYPE_MAC_ADDRESS, Param.INJECT_AT_TIMESTAMP: ParameterTypes.TYPE_FLOAT, Param.INJECT_AFTER_PACKET: ParameterTypes.TYPE_PACKET_POSITION, Param.PORT_DEST_SHUFFLE: ParameterTypes.TYPE_BOOLEAN, Param.PORT_DEST_ORDER_DESC: ParameterTypes.TYPE_BOOLEAN, Param.IP_SOURCE_RANDOMIZE: ParameterTypes.TYPE_BOOLEAN, Param.PACKETS_PER_SECOND: ParameterTypes.TYPE_FLOAT, Param.PORT_SOURCE_RANDOMIZE: ParameterTypes.TYPE_BOOLEAN } def init_params(self): """ Initialize the parameters of this attack using the user supplied command line parameters. Use the provided statistics to calculate default parameters and to process user supplied queries. :param statistics: Reference to a statistics object. """ # PARAMETERS: initialize with default values # (values are overwritten if user specifies them) most_used_ip_address = self.statistics.get_most_used_ip_address() if isinstance(most_used_ip_address, list): most_used_ip_address = most_used_ip_address[0] self.add_param_value(Param.IP_SOURCE, most_used_ip_address) self.add_param_value(Param.IP_SOURCE_RANDOMIZE, 'False') self.add_param_value(Param.MAC_SOURCE, self.statistics.get_mac_address(most_used_ip_address)) random_ip_address = self.statistics.get_random_ip_address() # ip-dst should be valid and not equal to ip.src while not self.is_valid_ip_address(random_ip_address) or random_ip_address==most_used_ip_address: random_ip_address = self.statistics.get_random_ip_address() self.add_param_value(Param.IP_DESTINATION, random_ip_address) destination_mac = self.statistics.get_mac_address(random_ip_address) if isinstance(destination_mac, list) and len(destination_mac) == 0: destination_mac = self.generate_random_mac_address() self.add_param_value(Param.MAC_DESTINATION, destination_mac) self.add_param_value(Param.PORT_DESTINATION, self.get_ports_from_nmap_service_dst(1000)) self.add_param_value(Param.PORT_OPEN, '1') self.add_param_value(Param.PORT_DEST_SHUFFLE, 'False') self.add_param_value(Param.PORT_DEST_ORDER_DESC, 'False') self.add_param_value(Param.PORT_SOURCE, randint(1024, 65535)) self.add_param_value(Param.PORT_SOURCE_RANDOMIZE, 'False') self.add_param_value(Param.PACKETS_PER_SECOND, (self.statistics.get_pps_sent(most_used_ip_address) + self.statistics.get_pps_received(most_used_ip_address)) / 2) self.add_param_value(Param.INJECT_AFTER_PACKET, randint(0, self.statistics.get_packet_count())) def get_ports_from_nmap_service_dst(self, ports_num): """ Read the most ports_num frequently open ports from nmap-service-tcp file to be used in the port scan. :return: Ports numbers to be used as default destination ports or default open ports in the port scan. """ ports_dst = [] spamreader = csv.reader(open('resources/nmap-services-tcp.csv', 'rt'), delimiter=',') for count in range(ports_num): # escape first row (header) next(spamreader) # save ports numbers ports_dst.append(next(spamreader)[0]) # shuffle ports numbers partially if (ports_num == 1000): # used for port.dst temp_array = [[0 for i in range(10)] for i in range(100)] port_dst_shuffled = [] for count in range(0, 9): temp_array[count] = ports_dst[count * 100:count * 100 + 99] shuffle(temp_array[count]) port_dst_shuffled += temp_array[count] else: # used for port.open shuffle(ports_dst) port_dst_shuffled = ports_dst return port_dst_shuffled def generate_attack_pcap(self): def update_timestamp(timestamp, pps, delay=0): """ Calculates the next timestamp to be used based on the packet per second rate (pps) and the maximum delay. :return: Timestamp to be used for the next packet. """ if delay == 0: # Calculate request timestamp # To imitate the bursty behavior of traffic randomdelay = Lea.fromValFreqsDict({1 / pps: 70, 2 / pps: 20, 5 / pps: 7, 10 / pps: 3}) return timestamp + uniform(1/pps , randomdelay.random()) else: # Calculate reply timestamp randomdelay = Lea.fromValFreqsDict({2*delay: 70, 3*delay: 20, 5*delay: 7, 10*delay: 3}) return timestamp + uniform(1 / pps + delay, 1 / pps + randomdelay.random()) def getIntervalPPS(complement_interval_pps, timestamp): """ Gets the packet rate (pps) for a specific time interval. :param complement_interval_pps: an array of tuples (the last timestamp in the interval, the packet rate in the crresponding interval). :param timestamp: the timestamp at which the packet rate is required. :return: the corresponding packet rate (pps) . """ for row in complement_interval_pps: if timestamp<=row[0]: return row[1] return complement_interval_pps[-1][1] # in case the timstamp > capture max timestamp mac_source = self.get_param_value(Param.MAC_SOURCE) mac_destination = self.get_param_value(Param.MAC_DESTINATION) pps = self.get_param_value(Param.PACKETS_PER_SECOND) # Calculate complement packet rates of the background traffic for each interval complement_interval_pps = self.statistics.calculate_complement_packet_rates(pps) # Determine ports dest_ports = self.get_param_value(Param.PORT_DESTINATION) if self.get_param_value(Param.PORT_DEST_ORDER_DESC): dest_ports.reverse() elif self.get_param_value(Param.PORT_DEST_SHUFFLE): shuffle(dest_ports) if self.get_param_value(Param.PORT_SOURCE_RANDOMIZE): sport = randint(1, 65535) else: sport = self.get_param_value(Param.PORT_SOURCE) # Timestamp timestamp_next_pkt = self.get_param_value(Param.INJECT_AT_TIMESTAMP) # store start time of attack self.attack_start_utime = timestamp_next_pkt timestamp_prv_reply, timestamp_confirm = 0,0 # Initialize parameters packets = [] ip_source = self.get_param_value(Param.IP_SOURCE) ip_destination = self.get_param_value(Param.IP_DESTINATION) # Check ip.src == ip.dst self.ip_src_dst_equal_check(ip_source, ip_destination) # Select open ports ports_open = self.get_param_value(Param.PORT_OPEN) if ports_open == 1: # user did not specify open ports # the ports that were already used by ip.dst (direction in) in the background traffic are open ports ports_used_by_ip_dst = self.statistics.process_db_query( "SELECT portNumber FROM ip_ports WHERE portDirection='in' AND ipAddress='" + ip_destination + "'") if ports_used_by_ip_dst: ports_open = ports_used_by_ip_dst else: # if no ports were retrieved from database ports_open = self.statistics.process_db_query( "SELECT portNumber FROM ip_ports GROUP BY portNumber ORDER BY SUM(portCount) DESC LIMIT "+str(randint(1,10))) # in case of one open port, convert ports_open to array if not isinstance(ports_open, list): ports_open = [ports_open] # Set MSS (Maximum Segment Size) based on MSS distribution of IP address source_mss_dist = self.statistics.get_mss_distribution(ip_source) if len(source_mss_dist) > 0: source_mss_prob_dict = Lea.fromValFreqsDict(source_mss_dist) source_mss_value = source_mss_prob_dict.random() else: source_mss_value = self.statistics.process_db_query("most_used(mssValue)") destination_mss_dist = self.statistics.get_mss_distribution(ip_destination) if len(destination_mss_dist) > 0: destination_mss_prob_dict = Lea.fromValFreqsDict(destination_mss_dist) destination_mss_value = destination_mss_prob_dict.random() else: destination_mss_value = self.statistics.process_db_query("most_used(mssValue)") # Set TTL based on TTL distribution of IP address source_ttl_dist = self.statistics.get_ttl_distribution(ip_source) if len(source_ttl_dist) > 0: source_ttl_prob_dict = Lea.fromValFreqsDict(source_ttl_dist) source_ttl_value = source_ttl_prob_dict.random() else: source_ttl_value = self.statistics.process_db_query("most_used(ttlValue)") destination_ttl_dist = self.statistics.get_ttl_distribution(ip_destination) if len(destination_ttl_dist) > 0: destination_ttl_prob_dict = Lea.fromValFreqsDict(destination_ttl_dist) destination_ttl_value = destination_ttl_prob_dict.random() else: destination_ttl_value = self.statistics.process_db_query("most_used(ttlValue)") # Set Window Size based on Window Size distribution of IP address source_win_dist = self.statistics.get_win_distribution(ip_source) if len(source_win_dist) > 0: source_win_prob_dict = Lea.fromValFreqsDict(source_win_dist) source_win_value = source_win_prob_dict.random() else: source_win_value = self.statistics.process_db_query("most_used(winSize)") destination_win_dist = self.statistics.get_win_distribution(ip_destination) if len(destination_win_dist) > 0: destination_win_prob_dict = Lea.fromValFreqsDict(destination_win_dist) destination_win_value = destination_win_prob_dict.random() else: destination_win_value = self.statistics.process_db_query("most_used(winSize)") minDelay,maxDelay = self.get_reply_delay(ip_destination) for dport in dest_ports: # Parameters changing each iteration if self.get_param_value(Param.IP_SOURCE_RANDOMIZE) and isinstance(ip_source, list): ip_source = choice(ip_source) # 1) Build request package request_ether = Ether(src=mac_source, dst=mac_destination) request_ip = IP(src=ip_source, dst=ip_destination, ttl=source_ttl_value) # Random src port for each packet sport = randint(1, 65535) request_tcp = TCP(sport=sport, dport=dport, window= source_win_value, flags='S', options=[('MSS', source_mss_value)]) request = (request_ether / request_ip / request_tcp) request.time = timestamp_next_pkt # Append request packets.append(request) # 2) Build reply (for open ports) package if dport in ports_open: # destination port is OPEN reply_ether = Ether(src=mac_destination, dst=mac_source) reply_ip = IP(src=ip_destination, dst=ip_source, ttl=destination_ttl_value, flags='DF') reply_tcp = TCP(sport=dport, dport=sport, seq=0, ack=1, flags='SA', window=destination_win_value, options=[('MSS', destination_mss_value)]) reply = (reply_ether / reply_ip / reply_tcp) timestamp_reply = update_timestamp(timestamp_next_pkt,pps,minDelay) while (timestamp_reply <= timestamp_prv_reply): timestamp_reply = update_timestamp(timestamp_prv_reply,pps,minDelay) timestamp_prv_reply = timestamp_reply reply.time = timestamp_reply packets.append(reply) # requester confirms confirm_ether = request_ether confirm_ip = request_ip confirm_tcp = TCP(sport=sport, dport=dport, seq=1, window=0, flags='R') confirm = (confirm_ether / confirm_ip / confirm_tcp) timestamp_confirm = update_timestamp(timestamp_reply,pps,minDelay) confirm.time = timestamp_confirm packets.append(confirm) # else: destination port is NOT OPEN -> no reply is sent by target pps = max(getIntervalPPS(complement_interval_pps, timestamp_next_pkt),10) timestamp_next_pkt = update_timestamp(timestamp_next_pkt, pps) # store end time of attack self.attack_end_utime = packets[-1].time # write attack packets to pcap pcap_path = self.write_attack_pcap(sorted(packets, key=lambda pkt: pkt.time)) # return packets sorted by packet time_sec_start return len(packets), pcap_path