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- import os
- import readline
- import sys
- import shutil
- import time
- import re
- 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
- import Core.StatsDatabase as StatsDB
- class Controller:
- def __init__(self, pcap_file_path: str, do_extra_tests: bool, non_verbose: bool=True, pcap_out_path: str=None):
- """
- 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.
- :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: bool=False, inject_empty: bool=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 if desired.
- :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.
- :param inject_empty: if flag is set, Attack PCAPs will not be merged with the base PCAP, ie. Attacks are injected into an empty PCAP
- """
- # 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.")
- elif len(self.written_pcaps) == 1:
- attacks_pcap_path = self.written_pcaps[0]
- if attacks_pcap_path:
- if inject_empty:
- # copy the attack pcap to the directory of the base PCAP instead of merging them
- print("Copying single attack pcap to location of base pcap...", end=" ")
- sys.stdout.flush() # force python to print text immediately
- timestamp = '_' + time.strftime("%Y%m%d") + '-' + time.strftime("%X").replace(':', '')
- self.pcap_dest_path = self.pcap_src_path.replace(".pcap", timestamp + '.pcap')
- shutil.copy(attacks_pcap_path, self.pcap_dest_path)
- else:
- # 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)
- else:
- print("done.")
- print('\nOutput files created:')
- print("--> No packets were injected. Therefore no output files were created.")
- # print summary statistics
- if not self.non_verbose and len(attacks_config) is not 1:
- 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) -> None:
- """
- Prints either general help messages, or information about specific commands.
- :param params: A list of parameters for the help command (can be empty).
- """
- 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 | mssValue | winSize | ipClass")
- 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 | winSize | ipClass")
- 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("The following operators can be used:")
- print("<= | < | = | >= | > | in")
- print()
- print("A value can either be a simple values, a list of simple values separated by commas and enclosed "
- "in [] brackets, or another query.")
- print()
- print("When VALUE is a list (or a query returning a list), the usage of the 'in' operator is mandatory!")
- 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 ipAddress' for information on valid operators and values.")
- 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("Get the IP addresses used with one of the MAC addresses in a list:")
- print("\tipAddress(macAddress in [08:00:27:a3:83:43, 52:54:00:12:35:02]);")
- print()
- else:
- print("Unknown keyword '" + param + "', try 'help;' to get a list of allowed keywords'")
- print()
- def internal_command(self, query: str) -> bool:
- # Strip off semicolon, split into command and parameters
- query = query.strip(";").split(" ", 1)
- cmd = query[0].strip().lower()
- if len(query) > 1:
- params = [p for p in re.split("(,|\\\".*?\\\"|'.*?')", query[1]) if p.strip(",").strip()]
- params = list(map(lambda x: x.strip().strip("\"'"), params))
- else:
- params = []
- if cmd == "help":
- self.process_help(params)
- return True
- elif cmd == "labels":
- if not self.label_manager.labels:
- print("No labels found.")
- else:
- print("Attacks listed in the label file:")
- print()
- for i, label in enumerate(self.label_manager.labels):
- print("Attack number: " + str(i))
- print("Attack name: " + str(label.attack_name))
- print("Attack note: " + str(label.attack_note))
- print("Attack seed: " + str(label.seed))
- print("Start timestamp: " + str(label.timestamp_start))
- print("End timestamp: " + str(label.timestamp_end))
- print()
- print()
- return True
- elif cmd == "set":
- if len(params) == 3:
- if params[0].lower() == "attack_note":
- i = int(params[1])
- self.label_manager.labels[i].attack_note = params[2]
- return True
- elif cmd == "tables":
- self.statisticsDB.process_db_query("SELECT name FROM sqlite_master WHERE type='table';", True)
- return True
- elif cmd == "columns":
- is_table = self.statisticsDB.process_db_query("SELECT name FROM sqlite_master WHERE type='table' AND name='"
- + params[0].lower() + "';", False)
- if not is_table:
- print("Table " + params[0].lower() + " does not exist.")
- return True
- self.statisticsDB.process_db_query("SELECT * FROM " + params[0].lower(), False)
- columns = self.statisticsDB.get_field_types(params[0].lower())
- for column in columns:
- print(column + ": " + columns[column])
- return True
- return False
- 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):
- """
- TODO: FILL ME
- :param vocabulary:
- :return:
- """
- def custom_template(text, state):
- """
- TODO: FILL ME
- :param text:
- :param state:
- :return:
- """
- 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 not self.internal_command(buffer):
- 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")
- except StatsDB.QueryExecutionException as e:
- sys.stderr.write("An error occured: ")
- sys.stderr.write(e.args[0] + "\n")
- buffer = ""
- readline.set_history_length(1000)
- readline.write_history_file(history_file)
- # Save the label file, in case content has changed
- self.label_manager.write_label_file(self.pcap_src_path)
- def create_statistics_plot(self, params: str, entropy: bool):
- """
- Plots the statistics to a file by using the given customization parameters.
- """
- print("Statistical plots are being generated", end="", flush=True)
- 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)
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