ID2T-toolkit-BotnetTraffic/code/ID2TLib/Controller.py

import os
import sys
import shutil

from ID2TLib.AttackController import AttackController
from ID2TLib.LabelManager import LabelManager
from ID2TLib.PcapFile import PcapFile
from ID2TLib.Statistics import Statistics
from ID2TLib.AttackContext import AttackContext


class Controller:
    def __init__(self, in_pcap_file_path: str, do_extra_tests: bool, out_pcap_file_path):
        """
        Creates a new Controller, acting as a central coordinator for the whole application.
        :param pcap_file_path:
        """
        # Fields
        self.pcap_src_path = in_pcap_file_path.strip()
        if out_pcap_file_path:
            self.pcap_out_path = out_pcap_file_path.strip()
        else:
            self.pcap_out_path = None
        self.pcap_dest_path = ''
        self.written_pcaps = []
        self.do_extra_tests = do_extra_tests

        # Initialize class instances
        print("Input file: %s" % self.pcap_src_path)
        self.pcap_file = PcapFile(self.pcap_src_path)
        self.label_manager = LabelManager(self.pcap_src_path)
        self.statistics = Statistics(self.pcap_file)
        self.statistics.do_extra_tests = self.do_extra_tests
        self.statisticsDB = self.statistics.get_statistics_database()
        self.attack_controller = AttackController(self.pcap_file, self.statistics, self.label_manager)

    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)

    def process_attacks(self, attacks_config: list):
        """
        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.
        """

        # context for the attack(s)
        context = AttackContext()

        # note if new xml file has been created by MembersMgmtCommAttack
        created_xml = None
        # load attacks sequentially
        for attack in attacks_config:
            # check if new xml file has been created by MembersMgmtCommAttack
            if attack[0] == "MembersMgmtCommAttack":
                for param in attack[1:]:
                    key, value = param.split("=")
                    if key == "file.csv":
                        if os.path.isfile(value):
                            created_xml, _ = os.path.splitext(value)
                            created_xml += ".xml"
                            break
            temp_attack_pcap = self.attack_controller.process_attack(attack[0], attack[1:], context)
            self.written_pcaps.append(temp_attack_pcap)


        # 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(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
            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

        # cp merged PCAP to output path
        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"
            os.rename(self.pcap_dest_path, self.pcap_out_path)
            self.pcap_dest_path = self.pcap_out_path

        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)

        # if MembersMgmtCommAttack created an xml file, move it into input pcap directory
        if created_xml:
            pcap_dir = os.path.splitext(self.pcap_dest_path)[0]
            if "/" in pcap_dir:
                pcap_dir = "/".join(pcap_dir.split("/")[:-1])
            xml_name = os.path.splitext(created_xml)[0] + ".xml"
            if "/" in xml_name:
                xml_name = xml_name.split("/")[-1]
            new_xml_path = pcap_dir + "/" + xml_name
            os.rename(created_xml, new_xml_path)

        # pcap_base contains the name of the pcap-file without the ".pcap" extension
        pcap_base = os.path.splitext(self.pcap_dest_path)[0]
        for suffix, filename in context.get_allocated_files():
            print(filename, pcap_base + suffix)
            shutil.move(filename, pcap_base + suffix)
        context.reset()

        # print status message
        if created_xml:
            print('\nOutput files created: \n', self.pcap_dest_path, '\n', self.label_manager.label_file_path, '\n', new_xml_path)
        else:
            print('\nOutput files created: \n', self.pcap_dest_path, '\n', self.label_manager.label_file_path)

    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)

    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.
        """
        print("Entering into query mode...")
        print("Enter statement ending by ';' and press ENTER to send query. Exit by sending an empty query..")
        buffer = ""
        while True:
            line = input("> ")
            if line == "":
                break
            buffer += line
            import sqlite3
            if sqlite3.complete_statement(buffer):
                try:
                    buffer = buffer.strip()
                    self.statisticsDB.process_db_query(buffer, True)
                except sqlite3.Error as e:
                    print("An error occurred:", e.args[0])
                buffer = ""

    def create_statistics_plot(self, params: str):
        """
        Plots the statistics to a file by using the given customization parameters.
        """
        if params is not None and params[0] is not None:
            params_dict = dict([z.split("=") for z in params])
            self.statistics.plot_statistics(format=params_dict['format'])
        else:
            self.statistics.plot_statistics()