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