import logging from random import randint, 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.utils import RawPcapReader from scapy.layers.inet import IP, Ether, TCP, RandShort class SalityBotnet(BaseAttack.BaseAttack): template_attack_pcap_path = "resources/sality_botnet.pcap" def __init__(self): """ Creates a new instance of the Sality botnet. """ # Initialize attack super(SalityBotnet, self).__init__("Sality Botnet", "Injects an Sality botnet'", "Botnet") # Define allowed parameters and their type self.supported_params = { Param.MAC_SOURCE: ParameterTypes.TYPE_MAC_ADDRESS, Param.IP_SOURCE: ParameterTypes.TYPE_IP_ADDRESS, Param.INJECT_AT_TIMESTAMP: ParameterTypes.TYPE_FLOAT, Param.INJECT_AFTER_PACKET: ParameterTypes.TYPE_PACKET_POSITION, Param.PACKETS_PER_SECOND: ParameterTypes.TYPE_FLOAT } 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 utilsvalues # (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.MAC_SOURCE, self.statistics.get_mac_address(most_used_ip_address)) # Attack configuration self.add_param_value(Param.INJECT_AFTER_PACKET, randint(0, self.statistics.get_packet_count())) 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) def generate_attack_pcap(self): def update_timestamp(timestamp, pps): """ 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. """ # Calculate the request timestamp # A distribution 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()) def getIntervalPPS(complement_interval_pps, timestamp): """ Gets the packet rate (pps) in specific time interval. :return: the corresponding packet rate for 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 # Timestamp timestamp_next_pkt = self.get_param_value(Param.INJECT_AT_TIMESTAMP) pps = self.get_param_value(Param.PACKETS_PER_SECOND) # Calculate complement packet rates of BG traffic per interval complement_interval_pps = self.statistics.calculate_complement_packet_rates(pps) # Initialize parameters packets = [] mac_source = self.get_param_value(Param.MAC_SOURCE) ip_source = self.get_param_value(Param.IP_SOURCE) # Pick a DNS server from the background traffic ip_dns_server = self.statistics.process_db_query("SELECT ipAddress FROM ip_protocols WHERE protocolName='DNS' ORDER BY protocolCount DESC LIMIT 1;") if not ip_dns_server or ip_source == ip_dns_server: ip_dns_server = self.statistics.get_random_ip_address() mac_dns_server = self.statistics.get_mac_address(ip_dns_server) # Bot original config in the template PCAP origin_mac_src = "08:00:27:e5:d7:b0" origin_ip_src = "10.0.2.15" origin_mac_dns_server = "52:54:00:12:35:02" origin_ip_dns_server = "10.0.2.2" ttl_map = {} ip_map = {origin_ip_src : ip_source, origin_ip_dns_server: ip_dns_server} mac_map = {origin_mac_src : mac_source, origin_mac_dns_server: mac_dns_server} path_attack_pcap = None # Inject Sality botnet # Read sality_botnet pcap file exploit_raw_packets = RawPcapReader(self.template_attack_pcap_path) for pkt_num, pkt in enumerate(exploit_raw_packets): eth_frame = Ether(pkt[0]) ip_pkt = eth_frame.payload # Ether if eth_frame.getfieldval("src") in mac_map: eth_frame.setfieldval("src", mac_map[eth_frame.getfieldval("src")]) if eth_frame.getfieldval("dst") in mac_map: eth_frame.setfieldval("dst", mac_map[eth_frame.getfieldval("dst")]) # IP if ip_pkt.getfieldval("src") in ip_map: ip_pkt.setfieldval("src", ip_map[ip_pkt.getfieldval("src")]) if ip_pkt.getfieldval("dst") in ip_map: ip_pkt.setfieldval("dst", ip_map[ip_pkt.getfieldval("dst")]) ## TTL if ip_pkt.getfieldval("ttl") not in ttl_map: source_ttl = self.statistics.get_most_used_ttl(ip_pkt.getfieldval("src")) if not source_ttl: source_ttl = self.statistics.process_db_query("SELECT ttlValue FROM ip_ttl ORDER BY RANDOM() LIMIT 1;") ttl_map[ip_pkt.getfieldval("ttl")] = source_ttl ip_pkt.setfieldval("ttl", ttl_map[ip_pkt.getfieldval("ttl")]) new_pkt = (eth_frame / ip_pkt) new_pkt.time = timestamp_next_pkt pps = max(getIntervalPPS(complement_interval_pps, timestamp_next_pkt), 10) timestamp_next_pkt = update_timestamp(timestamp_next_pkt, pps) packets.append(new_pkt) # Store timestamp of first packet (for attack label) self.attack_start_utime = packets[0].time self.attack_end_utime = packets[-1].time if len(packets) > 0: packets = sorted(packets, key=lambda pkt: pkt.time) path_attack_pcap = self.write_attack_pcap(packets, True, path_attack_pcap) # return packets sorted by packet time_sec_start # pkt_num+1: because pkt_num starts at 0 return pkt_num + 1, path_attack_pcap