Dhanush R TheOnlyWayUp

MySQL Cheat Sheet

Help with SQL commands to interact with a MySQL database

Following this guide: https://wiki.mobileread.com/wiki/Kindle4NTHacking#SSH.
Using Kindle 4.1 and macOS 10.14.

Connect the Kindle. It should be recognized as a USB Mass Storage Device.
Download the jailbreak archive
Copy data.tar.gz, ENABLE_DIAGS, and diagnostic_logs to the Kindle folder.
Restart the Kindle into Diagnostics Mode.
Reboot the Kindle from the Diagnostics Mode. Reboot screen should show jailbroken screensaver.

	@commands.guild_only()
	# Command cannot be used in private messages.

	@commands.dm_only()
	# Command can only be used in private messages.

	@commands.is_owner()
	# Command can only be used by the bot owner.

	@commands.is_nsfw()

	# https://gist.github.com/althonos/6914b896789d3f2078d1e6237642c35c

	[metadata]
	name = {name}
	version = file: {name}/_version.txt
	author = Martin Larralde
	author_email = [email protected]
	url = https://github.com/althonos/{name}
	description = {description}
	long_description = file: README.md

	<?php

	/*
	I wrote this function to progressively obfuscate text in MAKEbook.io. When it KINDA worked, I just used it.
	It can take a lot of improvement. I kinda just tweaked the values until it was good enough. It's not SO progressive though.

	It takes all the output of your PHP scripts via ob_start(), reroutes that to the obfuscation function.

	You should check if user paid for book or not, then either run ob_start or not!

	import aiohttp


	def request_tracer(results_collector):
	"""
	Provides request tracing to aiohttp client sessions.
	:param results_collector: a dict to which the tracing results will be added.
	:return: an aiohttp.TraceConfig object.

	:example:

	import struct
	import socket
	import base64
	import json
	import sys


	class Server:
	def __init__(self, data):
	self.description = data.get('description')

	from __future__ import print_function, division

	import numpy as np
	import pandas as pd
	import matplotlib.pyplot as plt

	# Keras modules
	from tensorflow.keras.layers import Input, Dense, Reshape, Flatten, Dropout, BatchNormalization, Activation, ZeroPadding2D, LeakyReLU, UpSampling2D, Conv2D
	from tensorflow.keras.models import Sequential, Model
	from tensorflow.keras.optimizers import Adam

	# Imports
	from scapy.all import *
	from pprint import pprint
	import operator

	# Parameters
	interface = "eth0" # Interface you want to use
	dns_source = "local-ip" # IP of that interface
	dns_destination = ["ip1","ip2","ip3"] # List of DNS Server IPs