keithrozario

http://pwndizzle.blogspot.my/2014/12/crest-crt-exam-preparation.html

https://www.exploit-db.com/docs/28553.pdf
https://css.csail.mit.edu/6.858/2014/readings/return-to-libc.pdf
http://blog.fkraiem.org/2013/10/26/return-to-libc/
http://www.cis.syr.edu/~wedu/seed/Labs/Vulnerability/Return_to_libc/Return_to_libc.pdf

keithrozario

netdiscover -r 192.168.0.0/24

>> Machine Name, IP, MAC (csv file)

Enter name of machine:
Enter ip of the machine:

nMap Fast scan with version

nMap Full scan  with version

keithrozario

<a href="www.google.com"> link here </a>

keithrozario

import string
from random import choice

alphabet = string.ascii_letters + string.digits
captcha = "".join(choice(alphabet) for x in range(1, 4))

print(captcha)

keithrozario

import logging

# Logging setup
logging.basicConfig(filename='log.txt',
                    filemode='a',
                    level=logging.INFO,
                    format='%(asctime)s %(message)s',
                    datefmt='%m/%d/%Y %I:%M:%S %p')

if __name__ == "__main__":

keithrozario

import argparse
import os
import logging
import shutil
from pathlib import Path

""" Assumes files end with _xx.jsonl
    where xx is an integer (that is at least 1 digit
"""

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import json
import logging
import boto3
import customConfig
import os
import argparse
import datetime

""" Loading JSONL file into DynamoDB, customConfig.table_name has the DynamoDB Table Name"""

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import requests
import json
import boto3
import os

bucket_name = 'files.siteaudit.sayakenahack.com'
file_prefix = 'scan'
keys = []
client = boto3.client('s3')
s3 = boto3.resource('s3')

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import tweepy
from tweepy import TweepError
from datetime import datetime, timedelta
import logging
import json

from custom_config import consumer_key, consumer_secret, access_key, access_secret

tweets_delete = []
max_age = 90  # in days

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import tweepy

from custom_config import get_attr_from_list
from custom_config import consumer_key, consumer_secret, access_key, access_secret


def write_tweets_to_file(screen_name):
    ids = []
    x = 1
    with open(screen_name.strip() + '.csv', 'w') as file: