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import argparse |
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import pandas as pd |
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from datetime import datetime |
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import logging |
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import copy |
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import time |
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import re |
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import yaml |
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import sys |
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text = 'This script allows you to replace values in a mordor file to make it look as if it occurred in your own network' |
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example_text = f'''Examples: |
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python3 {sys.argv[0]} -f mordor_file_2019-10-10221033.json -t 2020-12-18102055 |
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python3 {sys.argv[0]} -f mordor_file_2019-10-10221033.json -t 2020-12-18102055 -m string-mappings.yml |
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''' |
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parser = argparse.ArgumentParser(description=text,epilog=example_text,formatter_class=argparse.RawDescriptionHelpFormatter) |
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parser.add_argument("-f", "--file", help="file to customize and send", type=str , required=True) |
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parser.add_argument("-t", "--timestamp", help="new timestamp from where to start. Format YYYY-MM-DDHHMMSS", type=lambda d: datetime.strptime(d, '%Y-%m-%d%H%M%S'), required=True) |
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parser.add_argument("-m", "--mappings-file", help="YAML file with string mappings in a dictionary format to replace string values", type=str , required=False) |
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parser.add_argument("-d", "--debug", help="Print lots of debugging statements", action="store_const", dest="loglevel", const=logging.DEBUG, default=logging.WARNING) |
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parser.add_argument("-v", "--verbose", help="Be verbose", action="store_const", dest="loglevel", const=logging.INFO) |
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args = parser.parse_args() |
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logging.basicConfig(level=args.loglevel, format='%(asctime)s %(message)s', datefmt='%m/%d/%Y %I:%M:%S %p') |
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log = logging.getLogger(__name__) |
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log.debug(f'Started Stopwatch') |
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time_start = time.time() |
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print("[+] Old Mordor File:",args.file) |
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log.debug(f'Reading {args.file} to dataframe..') |
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df = pd.read_json(args.file, lines=True) |
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if args.mappings_file: |
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log.info('Replacing strings..') |
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log.debug(f'Reading {args.mappings_file} to dictionary..') |
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replace_dict = yaml.safe_load(open(args.mappings_file).read()) |
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log.debug(f'Replacing the following: {replace_dict}..') |
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df = df.replace(replace_dict, regex = True) |
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log.info('Calculating earliest timestamp') |
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earliest_timestamp = df['@timestamp'].min() |
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earliest_timestamp = datetime.strptime(earliest_timestamp, '%Y-%m-%dT%H:%M:%S.%fZ') |
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log.debug(f'Earliest timestamp: {earliest_timestamp}') |
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log.info('Calculating time delta..') |
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deltatime = args.timestamp - earliest_timestamp |
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log.debug(f'Time Delta: {deltatime}') |
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log.info('Replacing timestamp values..') |
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df['@timestamp'] = pd.to_datetime(df['@timestamp']) + deltatime |
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log.info('Updating timestamp type from datetime to string with specific format..') |
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df['@timestamp'] = df['@timestamp'].dt.strftime('%Y-%m-%dT%H:%M:%S.%f').str[:-3]+'Z' |
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log.info('Defining new file name..') |
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log.debug(f'Old file name: {args.file}') |
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old_file_name = copy.deepcopy(args.file) |
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old_file_name = re.split('\d{4}-\d{2}-\d{8}.json',old_file_name)[0] |
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timestamp_input_string = args.timestamp.strftime('%Y-%m-%d%H%M%S') |
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log.debug(f'New file name: {old_file_name}{timestamp_input_string}.json') |
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new_file_name = f'{old_file_name}{timestamp_input_string}.json' |
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log.info('Exporting dataframe to JSON') |
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df.apply(lambda x: x.dropna().to_dict(), axis=1).to_json(new_file_name,orient='records', lines=True) |
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time_end = time.time() |
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total_time = time_end - time_start |
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log.debug(f'Stopped Stopwatch') |
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print("[+] Time taken:",total_time,"seconds") |
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print("[+] New Mordor File:",new_file_name) |