import calendar as cal import datetime as dt import ipaddress import os import random as rnd import matplotlib import scipy.stats as stats matplotlib.use('Agg', force=True) import lea import scapy.layers.inet as inet CODE_DIR = os.path.dirname(os.path.abspath(__file__)) + "/../" ROOT_DIR = CODE_DIR + "../" RESOURCE_DIR = ROOT_DIR + "resources/" TEST_DIR = RESOURCE_DIR + "test/" platforms = {"win7", "win10", "winxp", "win8.1", "macos", "linux", "win8", "winvista", "winnt", "win2000"} platform_probability = {"win7": 48.43, "win10": 27.99, "winxp": 6.07, "win8.1": 6.07, "macos": 5.94, "linux": 3.38, "win8": 1.35, "winvista": 0.46, "winnt": 0.31} x86_nops = {b'\x90', b'\xfc', b'\xfd', b'\xf8', b'\xf9', b'\xf5', b'\x9b'} x86_pseudo_nops = {b'\x97', b'\x96', b'\x95', b'\x93', b'\x92', b'\x91', b'\x99', b'\x4d', b'\x48', b'\x47', b'\x4f', b'\x40', b'\x41', b'\x37', b'\x3f', b'\x27', b'\x2f', b'\x46', b'\x4e', b'\x98', b'\x9f', b'\x4a', b'\x44', b'\x42', b'\x43', b'\x49', b'\x4b', b'\x45', b'\x4c', b'\x60', b'\x0e', b'\x1e', b'\x50', b'\x55', b'\x53', b'\x51', b'\x57', b'\x52', b'\x06', b'\x56', b'\x54', b'\x16', b'\x58', b'\x5d', b'\x5b', b'\x59', b'\x5f', b'\x5a', b'\x5e', b'\xd6'} forbidden_chars = [b'\x00', b'\x0a', b'\x0d'] attacker_port_mapping = {} attacker_ttl_mapping = {} 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.Lea.fromValFreqsDict({1 / pps: 70, 2 / pps: 20, 5 / pps: 7, 10 / pps: 3}) return timestamp + rnd.uniform(1 / pps, randomdelay.random()) else: # Calculate reply timestamp randomdelay = lea.Lea.fromValFreqsDict({2 * delay: 70, 3 * delay: 20, 5 * delay: 7, 10 * delay: 3}) return timestamp + rnd.uniform(1 / pps + delay, 1 / pps + randomdelay.random()) def get_interval_pps(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 corresponding 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 def get_nth_random_element(*element_list): """ Returns the n-th element of every list from an arbitrary number of given lists. For example, list1 contains IP addresses, list 2 contains MAC addresses. Use of this function ensures that the n-th IP address uses always the n-th MAC address. :param element_list: An arbitrary number of lists. :return: A tuple of the n-th element of every list. """ if len(element_list) <= 0: return None elif len(element_list) == 1 and len(element_list[0]) > 0: return rnd.choice(element_list[0]) else: range_max = min([len(x) for x in element_list]) if range_max > 0: range_max -= 1 n = rnd.randint(0, range_max) return tuple(x[n] for x in element_list) else: return None def get_rnd_os(): """ Chooses random platform over an operating system probability distribution :return: random platform as string """ os_dist = lea.Lea.fromValFreqsDict(platform_probability) return os_dist.random() def check_platform(platform: str): """ Checks if the given platform is currently supported if not exits with error :param platform: the platform, which should be validated """ if platform not in platforms: print("\nERROR: Invalid platform: " + platform + "." + "\n Please select one of the following platforms: ", platforms) exit(1) def get_ip_range(start_ip: str, end_ip: str): """ Generates a list of IPs of a given range. If the start_ip is greater than the end_ip, the reverse range is generated :param start_ip: the start_ip of the desired IP-range :param end_ip: the end_ip of the desired IP-range :return: a list of all IPs in the desired IP-range, including start-/end_ip """ start = ipaddress.ip_address(start_ip) end = ipaddress.ip_address(end_ip) ips = [] if start < end: while start <= end: ips.append(start.exploded) start = start + 1 elif start > end: while start >= end: ips.append(start.exploded) start = start - 1 else: ips.append(start_ip) return ips def generate_source_port_from_platform(platform: str, previous_port=0): """ Generates the next source port according to the TCP-port-selection strategy of the given platform :param platform: the platform for which to generate source ports :param previous_port: the previously used/generated source port. Must be 0 if no port was generated before :return: the next source port for the given platform """ check_platform(platform) if platform in {"winnt", "winxp", "win2000"}: if (previous_port == 0) or (previous_port + 1 > 5000): return rnd.randint(1024, 5000) else: return previous_port + 1 elif platform == "linux": return rnd.randint(32768, 61000) else: if (previous_port == 0) or (previous_port + 1 > 65535): return rnd.randint(49152, 65535) else: return previous_port + 1 def get_filetime_format(timestamp): """ Converts a timestamp into MS FILETIME format :param timestamp: a timestamp in seconds :return: MS FILETIME timestamp """ boot_datetime = dt.datetime.fromtimestamp(timestamp) if boot_datetime.tzinfo is None or boot_datetime.tzinfo.utcoffset(boot_datetime) is None: boot_datetime = boot_datetime.replace(tzinfo=boot_datetime.tzname()) boot_filetime = 116444736000000000 + (cal.timegm(boot_datetime.timetuple()) * 10000000) return boot_filetime + (boot_datetime.microsecond * 10) def get_rnd_boot_time(timestamp, platform="winxp"): """ Generates a random boot time based on a given timestamp and operating system :param timestamp: a timestamp in seconds :param platform: a platform as string as specified in check_platform above. default is winxp. this param is optional :return: timestamp of random boot time in seconds since EPOCH """ check_platform(platform) if platform is "linux": uptime_in_days = lea.Lea.fromValFreqsDict({3: 50, 7: 25, 14: 12.5, 31: 6.25, 92: 3.125, 183: 1.5625, 365: 0.78125, 1461: 0.390625, 2922: 0.390625}) elif platform is "macos": uptime_in_days = lea.Lea.fromValFreqsDict({7: 50, 14: 25, 31: 12.5, 92: 6.25, 183: 3.125, 365: 3.076171875, 1461: 0.048828125}) else: uptime_in_days = lea.Lea.fromValFreqsDict({3: 50, 7: 25, 14: 12.5, 31: 6.25, 92: 3.125, 183: 1.5625, 365: 0.78125, 1461: 0.78125}) timestamp -= rnd.randint(0, uptime_in_days.random() * 86400) return timestamp def get_rnd_x86_nop(count=1, side_effect_free=False, char_filter=set()): """ Generates a specified number of x86 single-byte (pseudo-)NOPs :param count: The number of bytes to generate :param side_effect_free: Determines whether NOPs with side-effects (to registers or the stack) are allowed :param char_filter: A set of bytes which are forbidden to generate :return: Random x86 NOP bytestring """ result = b'' nops = x86_nops.copy() if not side_effect_free: nops |= x86_pseudo_nops.copy() if not isinstance(char_filter, set): char_filter = set(char_filter) nops = list(nops - char_filter) for i in range(0, count): result += nops[rnd.randint(0, len(nops) - 1)] return result def get_rnd_bytes(count=1, ignore=None): """ Generates a specified number of random bytes while excluding unwanted bytes :param count: Number of wanted bytes :param ignore: The bytes, which should be ignored, as an array :return: Random bytestring """ if ignore is None: ignore = [] result = b'' for i in range(0, count): char = os.urandom(1) while char in ignore: char = os.urandom(1) result += char return result def check_payload_len(payload_len: int, limit: int): """ Checks if the len of the payload exceeds a given limit :param payload_len: The length of the payload :param limit: The limit of the length of the payload which is allowed """ if payload_len > limit: print("\nCustom payload too long: ", payload_len, " bytes. Should be a maximum of ", limit, " bytes.") exit(1) def get_bytes_from_file(filepath): """ Converts the content of a file into its byte representation The content of the file can either be a string or hexadecimal numbers/bytes (e.g. shellcode) The file must have the keyword "str" or "hex" in its first line to specify the rest of the content If the content is hex, whitespaces, backslashes, "x", quotation marks and "+" are removed Example for a hexadecimal input file: hex "abcd ef \xff10\ff 'xaa' x \ ab" Output: b'\xab\xcd\xef\xff\x10\xff\xaa\xab' :param filepath: The path of the file from which to get the bytes :return: The bytes of the file (either a byte representation of a string or the bytes contained in the file) """ try: file = open(filepath) result_bytes = b'' header = file.readline().strip() content = file.read() if header == "hex": content = content.replace(" ", "").replace("\n", "").replace("\\", "").replace("x", "").replace("\"", "") \ .replace("'", "").replace("+", "").replace("\r", "") try: result_bytes = bytes.fromhex(content) except ValueError: print("\nERROR: Content of file is not all hexadecimal.") file.close() exit(1) elif header == "str": result_bytes = content.strip().encode() else: print("\nERROR: Invalid header found: " + header + ". Try 'hex' or 'str' followed by endline instead.") file.close() exit(1) for forbidden_char in forbidden_chars: if forbidden_char in result_bytes: print("\nERROR: Forbidden character found in payload: ", forbidden_char) file.close() exit(1) file.close() return result_bytes except FileNotFoundError: print("\nERROR: File not found: ", filepath) exit(1) def handle_most_used_outputs(most_used_x): """ :param most_used_x: Element or list (e.g. from SQL-query output) which should only be one element :return: most_used_x if it's not a list. The first element of most_used_x after being sorted if it's a list. None if that list is empty. """ if isinstance(most_used_x, list): if len(most_used_x) == 0: return None most_used_x.sort() return most_used_x[0] else: return most_used_x def get_attacker_config(ip_source_list, ip_address: str): """ Returns the attacker configuration depending on the IP address, this includes the port for the next attacking packet and the previously used (fixed) TTL value. :param ip_source_list: List of source IPs :param ip_address: The IP address of the attacker :return: A tuple consisting of (port, ttlValue) """ # Gamma distribution parameters derived from MAWI 13.8G dataset alpha, loc, beta = (2.3261710235, -0.188306914406, 44.4853123884) gd = stats.gamma.rvs(alpha, loc=loc, scale=beta, size=len(ip_source_list)) # Determine port port = attacker_port_mapping.get(ip_address) if port is not None: # use next port next_port = attacker_port_mapping.get(ip_address) + 1 if next_port > (2 ** 16 - 1): next_port = 1 else: # generate starting port next_port = inet.RandShort() attacker_port_mapping[ip_address] = next_port # Determine TTL value ttl = attacker_ttl_mapping.get(ip_address) if ttl is None: # determine TTL value is_invalid = True pos = ip_source_list.index(ip_address) pos_max = len(gd) while is_invalid: ttl = int(round(gd[pos])) if 0 < ttl < 256: # validity check is_invalid = False else: pos = (pos + 1) % pos_max attacker_ttl_mapping[ip_address] = ttl # return port and TTL return next_port, ttl