import abc import csv import hashlib import ipaddress import math import os import random import random as rnd import re import socket import sys import tempfile import time import collections import typing as t import ID2TLib.libpcapreader as pr import lea import numpy as np import scapy.layers.inet as inet import scapy.utils import Attack.AttackParameters as atkParam import ID2TLib.Utility as Util class BaseAttack(metaclass=abc.ABCMeta): """ Abstract base class for all attack classes. Provides basic functionalities, like parameter validation. """ ValuePair = collections.namedtuple('ValuePair', ['value', 'user_specified']) def __init__(self, name, description, attack_type): """ To be called within the individual attack class to initialize the required parameters. :param name: The name of the attack class. :param description: A short description of the attack. :param attack_type: The type the attack belongs to, like probing/scanning, malware. """ # Reference to statistics class self.statistics = None # Class fields self.attack_name = name self.attack_description = description self.attack_type = attack_type self.params = {} self.supported_params = {} self.attack_start_utime = 0 self.attack_end_utime = 0 self.start_time = 0 self.finish_time = 0 self.packets = [] self.path_attack_pcap = "" # get_reply_delay self.all_min_delays = None self.all_max_delays = None self.most_used_mss_value = None self.most_used_ttl_value = None self.most_used_win_size = None def set_statistics(self, statistics): """ Specify the statistics object that will be used to calculate the parameters of this attack. The statistics are used to calculate default parameters and to process user supplied queries. :param statistics: Reference to a statistics object. """ self.statistics = statistics # get_reply_delay self.all_min_delays = self.statistics.process_db_query("SELECT minDelay FROM conv_statistics LIMIT 500;") self.all_max_delays = self.statistics.process_db_query("SELECT maxDelay FROM conv_statistics LIMIT 500;") self.most_used_mss_value = self.statistics.get_most_used_mss_value() self.most_used_ttl_value = self.statistics.get_most_used_ttl_value() self.most_used_win_size = self.statistics.get_most_used_win_size() @abc.abstractmethod def init_params(self): """ Initialize all required parameters taking into account user supplied values. If no value is supplied, or if a user defined query is supplied, use a statistics object to do the calculations. A call to this function requires a call to 'set_statistics' first. """ pass @abc.abstractmethod def generate_attack_packets(self): """ Creates the attack packets. """ pass @abc.abstractmethod def generate_attack_pcap(self): """ Creates a pcap containing the attack packets. :return: The location of the generated pcap file. """ pass ################################################ # HELPER VALIDATION METHODS # Used to validate the given parameter values ################################################ @staticmethod def _is_mac_address(mac_address: t.Union[str, t.List[str]]) -> bool: """ Verifies if the given string is a valid MAC address. Accepts the formats 00:80:41:ae:fd:7e and 00-80-41-ae-fd-7e. :param mac_address: The MAC address as string. :return: True if the MAC address is valid, otherwise False. """ pattern = re.compile('^([0-9A-Fa-f]{2}[:-]){5}([0-9A-Fa-f]{2})$', re.MULTILINE) if isinstance(mac_address, list): for mac in mac_address: if re.match(pattern, mac) is None: return False else: if re.match(pattern, mac_address) is None: return False return True @staticmethod def _is_ip_address(ip_address: t.Union[str, t.List[str]]) -> t.Tuple[bool, t.Union[str, t.List[str]]]: """ Verifies that the given string or list of IP addresses (strings) is a valid IPv4/IPv6 address. Accepts comma-separated lists of IP addresses, like "192.169.178.1, 192.168.178.2" :param ip_address: The IP address(es) as list of strings, comma-separated or dash-separated string. :return: True if all IP addresses are valid, otherwise False. And a list of IP addresses as string. """ def append_ips(ip_address_input: t.List[str]) -> t.Tuple[bool, t.List[str]]: """ Recursive appending function to handle lists and ranges of IP addresses. :param ip_address_input: The IP address(es) as list of strings, comma-separated or dash-separated string. :return: List of all given IP addresses. """ ip_list = [] is_valid = True for ip in ip_address_input: if '-' in ip: ip_range = ip.split('-') ip_range = Util.get_ip_range(ip_range[0], ip_range[1]) is_valid, ips = append_ips(ip_range) ip_list.extend(ips) else: try: ipaddress.ip_address(ip) ip_list.append(ip) except ValueError: return False, ip_list return is_valid, ip_list # a comma-separated list of IP addresses must be split first if isinstance(ip_address, str): ip_address = ip_address.split(',') result, ip_address_output = append_ips(ip_address) if len(ip_address_output) == 1: return result, ip_address_output[0] else: return result, ip_address_output @staticmethod def _is_port(ports_input: t.Union[t.List[str], t.List[int], str, int])\ -> t.Union[bool, t.Tuple[bool, t.List[t.Union[int, str]]]]: """ Verifies if the given value is a valid port. Accepts port ranges, like 80-90, 80..99, 80...99. :param ports_input: The port number as int or string. :return: True if the port number is valid, otherwise False. If a single port or a comma-separated list of ports was given, a list of int is returned. If a port range was given, the range is resolved and a list of int is returned. """ def _is_invalid_port(num: int) -> bool: """ Checks whether the port number is invalid. :param num: The port number as int. :return: True if the port number is invalid, otherwise False. """ return num < 1 or num > 65535 if ports_input is None or ports_input is "": return False if isinstance(ports_input, str): ports_input = ports_input.replace(' ', '').split(',') elif isinstance(ports_input, int): ports_input = [ports_input] elif len(ports_input) is 0: return False ports_output = [] for port_entry in ports_input: if isinstance(port_entry, int): if _is_invalid_port(port_entry): return False ports_output.append(port_entry) # TODO: validate last condition elif isinstance(port_entry, str) and port_entry.isdigit(): # port_entry describes a single port port_entry = int(port_entry) if _is_invalid_port(port_entry): return False ports_output.append(port_entry) elif '-' in port_entry or '..' in port_entry: # port_entry describes a port range # allowed format: '1-49151', '1..49151', '1...49151' match = re.match(r'^([0-9]{1,5})(?:-|\.{2,3})([0-9]{1,5})$', str(port_entry)) # check validity of port range # and create list of ports derived from given start and end port (port_start, port_end) = int(match.group(1)), int(match.group(2)) if _is_invalid_port(port_start) or _is_invalid_port(port_end): return False else: ports_list = [i for i in range(port_start, port_end + 1)] # append ports at ports_output list ports_output += ports_list if len(ports_output) == 1: return True, ports_output[0] else: return True, ports_output @staticmethod def _is_timestamp(timestamp: str) -> bool: """ Checks whether the given value is in a valid timestamp format. The accepted format is: YYYY-MM-DD h:m:s, whereas h, m, s may be one or two digits. :param timestamp: The timestamp to be checked. :return: True if the timestamp is valid, otherwise False. """ is_valid = re.match(r'[0-9]{4}(?:-[0-9]{1,2}){2} (?:[0-9]{1,2}:){2}[0-9]{1,2}', timestamp) return is_valid is not None @staticmethod def _is_boolean(value): """ Checks whether the given value (string or bool) is a boolean. Strings are valid booleans if they are in: {y, yes, t, true, on, 1, n, no, f, false, off, 0}. :param value: The value to be checked. :return: True if the value is a boolean, otherwise false. And the casted boolean. """ # If value is already a boolean if isinstance(value, bool): return True, value # If value is a string # True values are y, yes, t, true, on and 1; # False values are n, no, f, false, off and 0. # Raises ValueError if value is anything else. try: import distutils.core import distutils.util value = bool(distutils.util.strtobool(value.lower())) is_bool = True except ValueError: is_bool = False return is_bool, value @staticmethod def _is_float(value): """ Checks whether the given value is a float. :param value: The value to be checked. :return: True if the value is a float, otherwise False. And the casted float. """ try: value = float(value) return True, value except ValueError: return False, value @staticmethod def _is_domain(val: str) -> bool: """ Verifies that the given string is a valid URI. :param val: The URI as string. :return: True if URI is valid, otherwise False. """ domain = re.match(r'^(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+$', val) return domain is not None ######################################### # HELPER METHODS ######################################### @staticmethod def set_seed(seed): """ :param seed: The random seed to be set. """ seed_final = None if isinstance(seed, int): seed_final = seed elif isinstance(seed, str): if seed.isdigit(): seed_final = int(seed) else: hashed_seed = hashlib.sha1(seed.encode()).digest() seed_final = int.from_bytes(hashed_seed, byteorder="little") if seed_final: random.seed(seed_final) np.random.seed(seed_final & 0xFFFFFFFF) def set_start_time(self) -> None: """ Set the current time as global starting time. """ self.start_time = time.time() def set_finish_time(self) -> None: """ Set the current time as global finishing time. """ self.finish_time = time.time() def get_packet_generation_time(self) -> float: """ :return difference between starting and finishing time. """ return self.finish_time - self.start_time def add_param_value(self, param, value, user_specified: bool = True) -> None: """ Adds the pair param : value to the dictionary of attack parameters. Prints and error message and skips the parameter if the validation fails. :param param: Name of the parameter that we wish to modify. :param value: The value we wish to assign to the specified parameter. :param user_specified: Whether the value was specified by the user (or left default) :return: None. """ # by default no param is valid is_valid = False param_name = None # get AttackParameters instance associated with param # for default values assigned in attack classes, like Parameter.PORT_OPEN if isinstance(param, atkParam.Parameter): param_name = param # for values given by user input, like port.open elif any(param == item.value for item in atkParam.Parameter): # Get Enum key of given string identifier param_name = atkParam.Parameter(param) else: print("ERROR: Parameter " + param + " is not supported by ID2T.") sys.exit(-1) # Get parameter type of attack's required_params param_type = self.supported_params.get(param_name) # This function call is valid only if there is a statistics object available. if self.statistics is None: raise RuntimeError( 'Error: Statistics-dependent attack parameter added without setting a statistics object first.') # Verify validity of given value with respect to parameter type if param_type is None: print('Parameter ' + str(param_name) + ' not available for chosen attack. Skipping parameter.') # If value is query -> get value from database elif param_name != atkParam.Parameter.INTERVAL_SELECT_STRATEGY and self.statistics.is_query(value): value = self.statistics.process_db_query(value, False) if value is not None and value is not "": is_valid = True else: print('Error in given parameter value: ' + str(value) + '. Data could not be retrieved.') # Validate parameter depending on parameter's type elif param_type == atkParam.ParameterTypes.TYPE_IP_ADDRESS: is_valid, value = self._is_ip_address(value) elif param_type == atkParam.ParameterTypes.TYPE_PORT: is_valid, value = self._is_port(value) elif param_type == atkParam.ParameterTypes.TYPE_MAC_ADDRESS: is_valid = self._is_mac_address(value) elif param_type == atkParam.ParameterTypes.TYPE_INTEGER_POSITIVE: if isinstance(value, int) and int(value) >= 0: is_valid = True elif isinstance(value, str) and value.isdigit() and int(value) >= 0: is_valid = True value = int(value) elif param_type == atkParam.ParameterTypes.TYPE_STRING: if isinstance(value, str): is_valid = True elif param_type == atkParam.ParameterTypes.TYPE_FLOAT: is_valid, value = self._is_float(value) # this is required to avoid that the timestamp's microseconds of the first attack packet is '000000' # but microseconds are only chosen randomly if the given parameter does not already specify it # e.g. inject.at-timestamp=123456.987654 -> is not changed # e.g. inject.at-timestamp=123456 -> is changed to: 123456.[random digits] if param_name == atkParam.Parameter.INJECT_AT_TIMESTAMP and is_valid and ((value - int(value)) == 0): value = value + random.uniform(0, 0.999999) elif param_type == atkParam.ParameterTypes.TYPE_TIMESTAMP: is_valid = self._is_timestamp(value) elif param_type == atkParam.ParameterTypes.TYPE_BOOLEAN: is_valid, value = self._is_boolean(value) elif param_type == atkParam.ParameterTypes.TYPE_PACKET_POSITION: ts = pr.pcap_processor(self.statistics.pcap_filepath, "False", Util.RESOURCE_DIR).get_timestamp_mu_sec(int(value)) if 0 <= int(value) <= self.statistics.get_packet_count() and ts >= 0: is_valid = True param_name = atkParam.Parameter.INJECT_AT_TIMESTAMP value = (ts / 1000000) # convert microseconds from getTimestampMuSec into seconds elif param_type == atkParam.ParameterTypes.TYPE_DOMAIN: is_valid = self._is_domain(value) elif param_type == atkParam.ParameterTypes.TYPE_FILEPATH: is_valid = os.path.isfile(value) elif param_type == atkParam.ParameterTypes.TYPE_PERCENTAGE: is_valid_float, value = self._is_float(value) if is_valid_float: is_valid = 0 <= value <= 1 else: is_valid = False elif param_type == atkParam.ParameterTypes.TYPE_PADDING: if isinstance(value, int): is_valid = 0 <= value <= 100 elif isinstance(value, str) and value.isdigit(): value = int(value) is_valid = 0 <= value <= 100 elif param_type == atkParam.ParameterTypes.TYPE_INTERVAL_SELECT_STRAT: is_valid = value in {"random", "optimal", "custom"} # add value iff validation was successful if is_valid: self.params[param_name] = self.ValuePair(value, user_specified) else: print("ERROR: Parameter " + str(param) + " or parameter value " + str(value) + " not valid. Skipping parameter.") def get_param_value(self, param: atkParam.Parameter): """ Returns the parameter value for a given parameter. :param param: The parameter whose value is wanted. :return: The parameter's value. """ parameter = self.params.get(param) if parameter is not None: return parameter.value else: return None def get_param_user_specified(self, param: atkParam.Parameter) -> bool: """ Returns whether the parameter value was specified by the user for a given parameter. :param param: The parameter whose user-specified flag is wanted. :return: The parameter's user-specified flag. """ parameter = self.params.get(param) if parameter is not None: return parameter.user_specified else: return False def check_parameters(self): """ Checks whether all parameter values are defined. If a value is not defined, the application is terminated. However, this should not happen as all attack should define default parameter values. """ # parameters which do not require default values non_obligatory_params = [atkParam.Parameter.INJECT_AFTER_PACKET, atkParam.Parameter.NUMBER_ATTACKERS] for param, param_type in self.supported_params.items(): # checks whether all params have assigned values, INJECT_AFTER_PACKET must not be considered because the # timestamp derived from it is set to Parameter.INJECT_AT_TIMESTAMP if param not in self.params.keys() and param not in non_obligatory_params: print("\033[91mCRITICAL ERROR: Attack '" + self.attack_name + "' does not define the parameter '" + str(param) + "'.\n The attack must define default values for all parameters." + "\n Cannot continue attack generation.\033[0m") import sys sys.exit(0) def write_attack_pcap(self, packets: list, append_flag: bool = False, destination_path: str = None): """ Writes the attack's packets into a PCAP file with a temporary filename. :return: The path of the written PCAP file. """ # Only check params initially when attack generation starts if append_flag is False and destination_path is None: # Check if all req. parameters are set self.check_parameters() # Determine destination path if destination_path is not None and os.path.exists(destination_path): destination = destination_path else: temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.pcap') destination = temp_file.name # Write packets into pcap file pktdump = scapy.utils.PcapWriter(destination, append=append_flag) pktdump.write(packets) # Store pcap path and close file objects pktdump.close() return destination def get_reply_delay(self, ip_dst, default=2000): """ Gets the minimum and the maximum reply delay for all the connections of a specific IP. :param ip_dst: The IP to reterive its reply delay. :param default: The default value to return if no delay could be fount. If < 0 raise an exception instead :return minDelay: minimum delay :return maxDelay: maximum delay """ result = self.statistics.process_db_query( "SELECT AVG(minDelay), AVG(maxDelay) FROM conv_statistics WHERE ipAddressB='" + ip_dst + "';") if result[0][0] and result[0][1]: min_delay = result[0][0] max_delay = result[0][1] else: min_delay = np.median(self.all_min_delays) max_delay = np.median(self.all_max_delays) if math.isnan(min_delay): # max_delay is nan too then if default < 0: raise ValueError("Could not calculate min/max_delay") min_delay = default max_delay = default min_delay = int(min_delay) * 10 ** -6 # convert from micro to seconds max_delay = int(max_delay) * 10 ** -6 return min_delay, max_delay @staticmethod def packets_to_convs(exploit_raw_packets): """ Classifies a bunch of packets to conversations groups. A conversation is a set of packets go between host A (IP,port) to host B (IP,port) :param exploit_raw_packets: A set of packets contains several conversations. :return conversations: A set of arrays, each array contains the packet of specific conversation :return orderList_conversations: An array contains the conversations ids (IP_A,port_A, IP_b,port_B) in the order they appeared in the original packets. """ conversations = {} order_list_conversations = [] for pkt_num, pkt in enumerate(exploit_raw_packets): eth_frame = inet.Ether(pkt[0]) ip_pkt = eth_frame.payload ip_dst = ip_pkt.getfieldval("dst") ip_src = ip_pkt.getfieldval("src") tcp_pkt = ip_pkt.payload port_dst = tcp_pkt.getfieldval("dport") port_src = tcp_pkt.getfieldval("sport") conv_req = (ip_src, port_src, ip_dst, port_dst) conv_rep = (ip_dst, port_dst, ip_src, port_src) if conv_req not in conversations and conv_rep not in conversations: pkt_list = [pkt] conversations[conv_req] = pkt_list # Order list of conv order_list_conversations.append(conv_req) else: if conv_req in conversations: pkt_list = conversations[conv_req] pkt_list.append(pkt) conversations[conv_req] = pkt_list else: pkt_list = conversations[conv_rep] pkt_list.append(pkt) conversations[conv_rep] = pkt_list return conversations, order_list_conversations @staticmethod def is_valid_ip_address(addr): """ Checks if the IP address family is supported. :param addr: IP address to be checked. :return: Boolean """ try: socket.inet_aton(addr) return True except socket.error: return False @staticmethod def ip_src_dst_equal_check(ip_source, ip_destination): """ Checks if the source IP and destination IP are equal. :param ip_source: source IP address. :param ip_destination: destination IP address. """ equal = False if isinstance(ip_source, list) and isinstance(ip_destination, list): for ip in ip_source: if ip in ip_destination: equal = True elif isinstance(ip_source, list): if ip_destination in ip_source: equal = True elif isinstance(ip_destination, list): if ip_source in ip_destination: equal = True else: if ip_source == ip_destination: equal = True if equal: print("\nERROR: Invalid IP addresses; source IP is the same as destination IP: " + ip_destination + ".") sys.exit(0) @staticmethod def get_inter_arrival_time(packets, distribution: bool = False): """ Gets the inter-arrival times array and its distribution of a set of packets. :param packets: the packets to extract their inter-arrival time. :param distribution: build distribution dictionary or not :return inter_arrival_times: array of the inter-arrival times :return dict: the inter-arrival time distribution as a histogram {inter-arrival time:frequency} """ inter_arrival_times = [] prvs_pkt_time = 0 for index, pkt in enumerate(packets): timestamp = pkt[2][0] + pkt[2][1] / 10 ** 6 if index == 0: prvs_pkt_time = timestamp inter_arrival_times.append(0) else: inter_arrival_times.append(timestamp - prvs_pkt_time) prvs_pkt_time = timestamp if distribution: # Build a distribution dictionary freq, values = np.histogram(inter_arrival_times, bins=20) dist_dict = {} for i, val in enumerate(values): if i < len(freq): dist_dict[str(val)] = freq[i] return inter_arrival_times, dist_dict else: return inter_arrival_times @staticmethod def clean_white_spaces(str_param): """ Delete extra backslash from white spaces. This function is used to process the payload of packets. :param str_param: the payload to be processed. """ str_param = str_param.replace("\\n", "\n") str_param = str_param.replace("\\r", "\r") str_param = str_param.replace("\\t", "\t") str_param = str_param.replace("\\\'", "\'") return str_param def modify_http_header(self, str_tcp_seg, orig_target_uri, target_uri, orig_ip_dst, target_host): """ Substitute the URI and HOST in a HTTP header with new values. :param str_tcp_seg: the payload to be processed. :param orig_target_uri: old URI :param target_uri: new URI :param orig_ip_dst: old host :param target_host: new host """ if len(str_tcp_seg) > 0: # convert payload bytes to str => str = "b'..\\r\\n..'" str_tcp_seg = str_tcp_seg[2:-1] str_tcp_seg = str_tcp_seg.replace(orig_target_uri, target_uri) str_tcp_seg = str_tcp_seg.replace(orig_ip_dst, target_host) str_tcp_seg = self.clean_white_spaces(str_tcp_seg) return str_tcp_seg def get_ip_data(self, ip_address: str): """ :param ip_address: the ip of which (packet-)data shall be returned :return: MSS, TTL and Window Size values of the given IP """ # Set MSS (Maximum Segment Size) based on MSS distribution of IP address mss_dist = self.statistics.get_mss_distribution(ip_address) if len(mss_dist) > 0: mss_prob_dict = lea.Lea.fromValFreqsDict(mss_dist) mss_value = mss_prob_dict.random() else: mss_value = Util.handle_most_used_outputs(self.most_used_mss_value) # Set TTL based on TTL distribution of IP address ttl_dist = self.statistics.get_ttl_distribution(ip_address) if len(ttl_dist) > 0: ttl_prob_dict = lea.Lea.fromValFreqsDict(ttl_dist) ttl_value = ttl_prob_dict.random() else: ttl_value = Util.handle_most_used_outputs(self.most_used_ttl_value) # Set Window Size based on Window Size distribution of IP address win_dist = self.statistics.get_win_distribution(ip_address) if len(win_dist) > 0: win_prob_dict = lea.Lea.fromValFreqsDict(win_dist) win_value = win_prob_dict.random() else: win_value = Util.handle_most_used_outputs(self.most_used_win_size) return mss_value, ttl_value, win_value ######################################### # RANDOM IP/MAC ADDRESS GENERATORS ######################################### @staticmethod def generate_random_ipv4_address(ip_class, n: int = 1): # TODO: document ip_class """ Generates n random IPv4 addresses. :param ip_class: :param n: The number of IP addresses to be generated :return: A single IP address, or if n>1, a list of IP addresses """ def is_invalid(ip_address_param: ipaddress.IPv4Address): """ TODO FILL ME :param ip_address_param: :return: """ return ip_address_param.is_multicast or ip_address_param.is_unspecified or ip_address_param.is_loopback or \ ip_address_param.is_link_local or ip_address_param.is_reserved or ip_address_param.is_private # Generate a random IP from specific class def generate_address(ip_class_param): """ TODO FILL ME :param ip_class_param: :return: """ if ip_class_param == "Unknown": return ipaddress.IPv4Address(random.randint(0, 2 ** 32 - 1)) else: # For DDoS attack, we do not generate private IPs if "private" in ip_class_param: ip_class_param = ip_class_param[0] # convert A-private to A ip_classes_byte1 = {"A": {1, 126}, "B": {128, 191}, "C": {192, 223}, "D": {224, 239}, "E": {240, 254}} temp = list(ip_classes_byte1[ip_class_param]) min_b1 = temp[0] max_b1 = temp[1] b1 = random.randint(min_b1, max_b1) b2 = random.randint(1, 255) b3 = random.randint(1, 255) b4 = random.randint(1, 255) ip_address = ipaddress.IPv4Address(str(b1) + "." + str(b2) + "." + str(b3) + "." + str(b4)) return ip_address ip_addresses = [] for i in range(0, n): address = generate_address(ip_class) while is_invalid(address): address = generate_address(ip_class) ip_addresses.append(str(address)) if n == 1: return ip_addresses[0] else: return ip_addresses @staticmethod def generate_random_ipv6_address(n: int = 1): """ Generates n random IPv6 addresses. :param n: The number of IP addresses to be generated :return: A single IP address, or if n>1, a list of IP addresses """ def is_invalid(ip_address: ipaddress.IPv6Address): """ TODO FILL ME :param ip_address: :return: """ return ip_address.is_multicast or ip_address.is_unspecified or ip_address.is_loopback or \ ip_address.is_link_local or ip_address.is_private or ip_address.is_reserved def generate_address(): """ TODO FILL ME :return: """ return ipaddress.IPv6Address(random.randint(0, 2 ** 128 - 1)) ip_addresses = [] for i in range(0, n): address = generate_address() while is_invalid(address): address = generate_address() ip_addresses.append(str(address)) if n == 1: return ip_addresses[0] else: return ip_addresses @staticmethod def generate_random_mac_address(n: int = 1): """ Generates n random MAC addresses. :param n: The number of MAC addresses to be generated. :return: A single MAC address, or if n>1, a list of MAC addresses """ def is_invalid(address_param: str): first_octet = int(address_param[0:2], 16) is_multicast_address = bool(first_octet & 0b01) is_locally_administered = bool(first_octet & 0b10) return is_multicast_address or is_locally_administered def generate_address(): # FIXME: cleanup mac = [random.randint(0x00, 0xff) for i in range(0, 6)] return ':'.join(map(lambda x: "%02x" % x, mac)) mac_addresses = [] for i in range(0, n): address = generate_address() while is_invalid(address): address = generate_address() mac_addresses.append(address) if n == 1: return mac_addresses[0] else: return mac_addresses @staticmethod def get_ports_from_nmap_service_dst(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 = [] file = open(Util.RESOURCE_DIR + 'nmap-services-tcp.csv', 'rt') spamreader = csv.reader(file, delimiter=',') for count in range(ports_num): # escape first row (header) next(spamreader) # save ports numbers ports_dst.append(next(spamreader)[0]) file.close() # rnd.shuffle ports numbers partially if ports_num == 1000: # used for port.dst # FIXME: cleanup temp_array = [[0 for i in range(10)] for i in range(100)] port_dst_shuffled = [] for count in range(0, 10): temp_array[count] = ports_dst[count * 100:(count + 1) * 100] rnd.shuffle(temp_array[count]) port_dst_shuffled += temp_array[count] else: # used for port.open rnd.shuffle(ports_dst) port_dst_shuffled = ports_dst return port_dst_shuffled