Aniketh Girish Aniketh01

DANE for SMTP how-to

This how-to is created by the Dutch Internet Standards Platform (the organization behind Internet.nl) in cooperation with industry experts (hosters and vendors) and is meant to provide practical information and guidance on implementing DANE for SMTP.

Executive Summary

DANE is a best-practice technology for securing the transfer of email (SMTP) between organizations across the public Internet.
Successful DANE deployments require additional operational discipline.
- Automated monitoring of your own email servers and related DNS records is a must.
- Robust automation of coordinated DNS and email server certificate chain updates.
- These topics will be covered in more detail in this how-to.
Please plan carefully and then deploy DANE for your email servers. Botched deployments not not only harm the domain in question, but also have a deterrent effect on adoption by others.

	#!/usr/bin/env python3
	# Install mitmdump & mitmproxy with `brew install mitmproxy`
	# run with: mitmdump -s mitm-error.py
	# fire requests: curl --proxy localhost:8080 https://test.example.com/test
	# set up your system proxy or configure your browser to use the proxy localhost:8080
	import sys
	import re
	import json
	from mitmproxy import http, proxy, options

	# Copy this file and run mitmproxy like this::
	#
	# mitmproxy -s mitmproxy-quicker.py --mode reverse:http://dummy.invalid
	#
	# Then edit the code below. For example,
	# http://localhost:8080/index.html will serve the HTML page defined below.
	# mitmproxy will automatically reload the script whenever you save it to disk.
	# You can specify a real fallback upstream instead of ``dummy.invalid``,
	# or remove the ``--mode`` option altogether for a regular (forward) proxy.
	#

	30th percentile of avg_delta is -44.23148148148151
	30th percentile of max_delta is -25.600000000000023
	30th percentile of min_delta is -54.0
	30th percentile of median_delta is -42.5
	Domains when 30th percentile of median_delta was -42.5
	Domain Rank Date smoothed_rank ... avg_delta max_delta min_delta median_delta
	404 go.com 916 2020-04-17 738.0 ... -34.728519 202.0 -156.0 -42.5
	874 sindonews.com 14987 2020-04-13 4800.0 ... 258.652593 14682.0 -31.0 -42.5
	964 topshop.tmall.com 1482 2020-03-25 1267.0 ... -72.623668 149.0 -119.0 -42.5

	import logging

	from telegram.ext import Updater, CommandHandler

	KILL = 0

	# Enable logging
	logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
	level=logging.INFO)


	from telegram import InlineKeyboardButton, InlineKeyboardMarkup
	from telegram.ext import Updater, CommandHandler, CallbackQueryHandler, ConversationHandler



	class Telegram_Bot(object):
	def tg_authenticate(self):
	updater = Updater(token=tg_token, use_context=True)
	return updater

	import pandas as pd
	from glob import glob
	from functools import reduce
	import re
	import datetime

	import sys
	import argparse

	// Compile: gcc transcoding.c video_debugging.c -o trans -lavcodec -lavformat -lavutil -lswresample -lswscale
	// Execute: ./trans input.mp4 out1.mp4

	#include <libavcodec/avcodec.h>
	#include <libavformat/avformat.h>
	#include <libavutil/timestamp.h>
	#include <stdio.h>
	#include <stdarg.h>
	#include <stdlib.h>
	#include <libavutil/opt.h>

	#include <stdio.h>
	#include <GLFW/glfw3.h>

	extern "C" {
	#include <libavcodec/avcodec.h>
	#include <libavformat/avformat.h>
	#include <libswscale/swscale.h>
	#include <inttypes.h>
	}

	// Use OpenGL 3.0+, but don't use GLU
	#define GLFW_INCLUDE_GL3
	#define GLFW_NO_GLU
	#include <GL/glfw.h>

	#include <glm/glm.hpp>
	#include <glm/gtc/matrix_transform.hpp>
	#include <glm/gtc/type_ptr.hpp>

	extern "C" {