import os import readline import sys import pyparsing as pp import Core.AttackController as atkCtrl import Core.LabelManager as LabelManager import Core.Statistics as Statistics import ID2TLib.PcapFile as PcapFile import ID2TLib.Utility as Util class Controller: def __init__(self, pcap_file_path: str, pcap_out_path: str, do_extra_tests: bool, non_verbose: bool): """ Creates a new Controller, acting as a central coordinator for the whole application. :param pcap_file_path: """ # Fields self.pcap_src_path = pcap_file_path.strip() self.pcap_dest_path = '' self.pcap_out_path = pcap_out_path self.written_pcaps = [] self.do_extra_tests = do_extra_tests self.non_verbose = non_verbose self.seed = None self.durations = [] self.added_packets = 0 # Initialize class instances print("Input file: %s" % self.pcap_src_path) self.pcap_file = PcapFile.PcapFile(self.pcap_src_path) self.label_manager = LabelManager.LabelManager(self.pcap_src_path) self.statistics = Statistics.Statistics(self.pcap_file) self.statistics.do_extra_tests = self.do_extra_tests self.statisticsDB = self.statistics.get_statistics_database() self.attack_controller = atkCtrl.AttackController(self.pcap_file, self.statistics, self.label_manager) # Set output directory and create it (if necessary) if pcap_out_path is not None: out_dir = os.path.dirname(pcap_out_path) if not out_dir: # if out_dir is cwd out_dir = "." Util.OUT_DIR = out_dir + os.sep else: Util.OUT_DIR = os.path.join(os.path.dirname(pcap_file_path), "ID2T_results") + os.sep os.makedirs(Util.OUT_DIR, exist_ok=True) def load_pcap_statistics(self, flag_write_file: bool, flag_recalculate_stats: bool, flag_print_statistics: bool): """ Loads the PCAP statistics either from the database, if the statistics were calculated earlier, or calculates the statistics and creates a new database. :param flag_write_file: Writes the statistics to a file. :param flag_recalculate_stats: Forces the recalculation of statistics. :param flag_print_statistics: Prints the statistics on the terminal. :param flag_non_verbose: Reduces terminal clutter. :return: None """ self.statistics.load_pcap_statistics(flag_write_file, flag_recalculate_stats, flag_print_statistics, self.non_verbose) def process_attacks(self, attacks_config: list, seeds=None, time=False): """ Creates the attack based on the attack name and the attack parameters given in the attacks_config. The attacks_config is a list of attacks. e.g. [['PortscanAttack', 'ip.src="192.168.178.2",'dst.port=80'],['PortscanAttack', 'ip.src="10.10.10.2"]]. Merges the individual temporary attack pcaps into one single pcap and merges this single pcap with the input dataset. :param attacks_config: A list of attacks with their attack parameters. :param seeds: A list of random seeds for the given attacks. :param time: Measure time for packet generation. """ # load attacks sequentially i = 0 for attack in attacks_config: if seeds is not None and len(seeds) > i: rng_seed = seeds[i][0] else: rng_seed = int.from_bytes(os.urandom(16), sys.byteorder) self.attack_controller.set_seed(seed=rng_seed) temp_attack_pcap, duration = self.attack_controller.process_attack(attack[0], attack[1:], time) self.durations.append(duration) self.added_packets += self.attack_controller.total_packets if not self.non_verbose: self.statistics.stats_summary_post_attack(self.added_packets) self.written_pcaps.append(temp_attack_pcap) i += 1 attacks_pcap_path = None # merge attack pcaps to get single attack pcap if len(self.written_pcaps) > 1: print("\nMerging temporary attack pcaps into single pcap file...", end=" ") sys.stdout.flush() # force python to print text immediately for i in range(0, len(self.written_pcaps) - 1): attacks_pcap = PcapFile.PcapFile(self.written_pcaps[i]) attacks_pcap_path = attacks_pcap.merge_attack(self.written_pcaps[i + 1]) os.remove(self.written_pcaps[i + 1]) # remove merged pcap self.written_pcaps[i + 1] = attacks_pcap_path print("done.") else: attacks_pcap_path = self.written_pcaps[0] # merge single attack pcap with all attacks into base pcap print("Merging base pcap with single attack pcap...", end=" ") sys.stdout.flush() # force python to print text immediately self.pcap_dest_path = self.pcap_file.merge_attack(attacks_pcap_path) if self.pcap_out_path: if not self.pcap_out_path.endswith(".pcap"): self.pcap_out_path += ".pcap" result_path = self.pcap_out_path else: tmp_path_tuple = self.pcap_dest_path.rpartition("/") result_path = Util.OUT_DIR + tmp_path_tuple[2] os.rename(self.pcap_dest_path, result_path) self.pcap_dest_path = result_path created_files = [self.pcap_dest_path] # process/move other created files pcap_root = os.path.splitext(self.pcap_dest_path)[0] for k, v in Util.MISC_OUT_FILES.items(): if v is None: created_files.append(k) else: outpath = pcap_root + "_" + k os.rename(v, outpath) created_files.append(outpath) print("done.") # delete intermediate PCAP files print('Deleting intermediate attack pcap...', end=" ") sys.stdout.flush() # force python to print text immediately os.remove(attacks_pcap_path) print("done.") # write label file with attacks self.label_manager.write_label_file(self.pcap_dest_path) created_files.insert(1, self.label_manager.label_file_path) # print status message print('\nOutput files created:') for filepath in created_files: print(filepath) # print summary statistics if not self.non_verbose: self.statistics.stats_summary_post_attack(self.added_packets) def process_db_queries(self, query, print_results=False): """ Processes a statistics database query. This can be a standard SQL query or a named query. :param query: The query as a string or multiple queries as a list of strings. :param print_results: Must be True if the results should be printed to terminal. :return: The query's result """ print("Processing database query/queries...") if isinstance(query, list) or isinstance(query, tuple): for q in query: self.statisticsDB.process_db_query(q, print_results) else: self.statisticsDB.process_db_query(query, print_results) @staticmethod def process_help(params): if not params: print("Query mode allows you to enter SQL-queries as well as named queries.") print() print("Named queries:") print("\tSelectors:") print("\t\tmost_used(...) -> Returns the most occurring element in all elements") print("\t\tleast_used(...) -> Returns the least occurring element in all elements") print("\t\tavg(...) -> Returns the average of all elements") print("\t\tall(...) -> Returns all elements") print("\tExtractors:") print("\t\trandom(...) -> Returns a random element from a list") print("\t\tfirst(...) -> Returns the first element from a list") print("\t\tlast(...) -> Returns the last element from a list") print("\tParameterized selectors:") print("\t\tipAddress(...) -> Returns all IP addresses fulfilling the specified conditions") print("\t\tmacAddress(...) -> Returns all MAC addresses fulfilling the specified conditions") print() print("Miscellaneous:") print("\tlabels -> List all attacks listed in the label file, if any") print("\ttables -> List all tables from database") print("\tcolumns TABLE -> List column names and types from specified table") print() print("Additional information is available with 'help [KEYWORD];'") print("To get a list of examples, type 'help examples;'") print() return param = params[0].lower() if param == "most_used": print("most_used can be used as a selector for the following attributes:") print("ipAddress | macAddress | portNumber | protocolName | ttlValue | mssValue | winSize | ipClass") print() elif param == "least_used": print("least_used can be used as a selector for the following attributes:") print("ipAddress | macAddress | portNumber | protocolName | ttlValue") print() elif param == "avg": print("avg can be used as a selector for the following attributes:") print("pktsReceived | pktsSent | kbytesSent | kbytesReceived | ttlValue | mss") print() elif param == "all": print("all can be used as a selector for the following attributes:") print("ipAddress | ttlValue | mss | macAddress | portNumber | protocolName") print() elif param in ["random", "first", "last"]: print("No additional info available for this keyword.") print() elif param == "ipaddress": print("ipAddress is a parameterized selector which fetches IP addresses based on (a list of) conditions.") print("Conditions are of the following form: PARAMETER OPERATOR VALUE") print("The following parameters can be specified:") print("pktsReceived | pktsSent | kbytesReceived | kbytesSent | maxPktRate | minPktRate | ipClass\n" "macAddress | ttlValue | ttlCount | portDirection | portNumber | portCount | protocolCount\n" "protocolName") print() print("See 'help examples;' for usage examples.") print() elif param == "macaddress": print("macAddress is a parameterized selector which fetches MAC addresses based on (a list of) conditions.") print("Conditions are of the following form: PARAMETER OPERATOR VALUE") print("The following parameters can be specified:") print("ipAddress") print() print("See 'help examples;' for usage examples.") print() elif param == "examples": print("Get the average amount of sent packets per IP:") print("\tavg(pktsSent);") print("Get a random IP from all addresses occuring in the pcap:") print("\trandom(all(ipAddress));") print("Return the MAC address of a specified IP:") print("\tmacAddress(ipAddress=192.168.178.2);") print("Get the average TTL-value with SQL:") print("\tSELECT avg(ttlValue) from ip_ttl;") print("Get a random IP address from all addresses that sent and received at least 10 packets:") print("\trandom(ipAddress(pktsSent > 10, pktsReceived > 10));") print() else: print("Unknown keyword '" + param + "', try 'help;' to get a list of allowed keywords'") print() def enter_query_mode(self): """ Enters into the query mode. This is a read-eval-print-loop, where the user can input named queries or SQL queries and the results are printed. """ def make_completer(vocabulary): def custom_template(text, state): results = [x for x in vocabulary if x.startswith(text)] + [None] return results[state] return custom_template readline.parse_and_bind('tab: complete') readline.set_completer(make_completer( self.statisticsDB.get_all_named_query_keywords() + self.statisticsDB.get_all_sql_query_keywords())) history_file = os.path.join(Util.CACHE_DIR, 'query_history') try: readline.read_history_file(history_file) except IOError: pass print("Entering into query mode...") print("Enter statement ending by ';' and press ENTER to send query. Exit by sending an empty query.") print("Type 'help;' for information on possible queries.") buffer = "" while True: line = input("> ") if line == "": break buffer += line import sqlite3 if sqlite3.complete_statement(buffer): buffer = buffer.strip() if buffer.lower().startswith('help'): buffer = buffer.strip(';') self.process_help(buffer.split(' ')[1:]) elif buffer.lower().strip() == 'labels;': if not self.label_manager.labels: print("No labels found.") else: print("Attacks listed in the label file:") print() for label in self.label_manager.labels: print("Attack name: " + str(label.attack_name)) print("Attack note: " + str(label.attack_note)) print("Start timestamp: " + str(label.timestamp_start)) print("End timestamp: " + str(label.timestamp_end)) print() print() elif buffer.lower().strip() == 'tables;': self.statisticsDB.process_db_query("SELECT name FROM sqlite_master WHERE type='table';", True) elif buffer.lower().strip().startswith('columns '): self.statisticsDB.process_db_query("SELECT * FROM " + buffer.lower()[8:], False) columns = self.statisticsDB.get_field_types(buffer.lower()[8:].strip(";")) for column in columns: print(column + ": " + columns[column]) else: try: self.statisticsDB.process_db_query(buffer, True) except sqlite3.Error as e: print("An error occurred:", e.args[0]) except pp.ParseException as e: sys.stderr.write("Error in query:\n") sys.stderr.write(buffer) sys.stderr.write("\n") for i in range(1, e.col): sys.stderr.write(" ") sys.stderr.write("^\n\n") buffer = "" readline.set_history_length(1000) readline.write_history_file(history_file) def create_statistics_plot(self, params: str, entropy: bool): """ Plots the statistics to a file by using the given customization parameters. """ if params is not None and params[0] is not None: # FIXME: cleanup params_dict = dict([z.split("=") for z in params]) self.statistics.plot_statistics(entropy=entropy, file_format=params_dict['format']) else: self.statistics.plot_statistics(entropy=entropy)