webcoderz

Google dork cheatsheet

Search filters

Filter	Description	Example
allintext	Searches for occurrences of all the keywords given.	`allintext:"keyword"`
intext	Searches for the occurrences of keywords all at once or one at a time.	`intext:"keyword"`
inurl	Searches for a URL matching one of the keywords.	`inurl:"keyword"`
allinurl	Searches for a URL matching all the keywords in the query.	`allinurl:"keyword"`
intitle	Searches for occurrences of keywords in title all or one.	`intitle:"keyword"`

Useful Links

Nethunter OS on Nexus 5

Here are instructions to install Nethunter (as a ROM) with working native monitor mode in the chroot using Nexmon. The ROM is a modified CM 14.1 (nougat) base with custom kernel which supports: HID, Drivedroid, Kexec, and external wireless.

What you need

You will need the following 3 items (maybe 4):

TWRP for Hammerhead-CAF: https://dl.twrp.me/hammerheadcaf/twrp-3.0.2-0-hammerheadcaf.img.html
Nethunter OS (based on CM 14.1): https://build.nethunter.com/nethunteros/CM14_1/hammerheadcaf/nh-14.1-nethunter-hammerheadcaf-v1.zip

Simple automated GIT Deployment using GIT Hooks

Here are the simple steps needed to create a deployment from your local GIT repository to a server based on this in-depth tutorial.

How it works

You are developing in a working-copy on your local machine, lets say on the master branch. Most of the time, people would push code to a remote server like github.com or gitlab.com and pull or export it to a production server. Or you use a service like deepl.io to act upon a Web-Hook that's triggered that service.

	#!/bin/bash
	# Script to update a firewall rule in a Hetzner Firewall with your current IP address.
	# Good if you would like to restrict SSH access only for your current IP address (secure).

	#################
	# WARNING: This script will overwrite all rules in the firewall rules, so make sure you
	# added all the required rules.
	# I use a separate firewall rule just for SSH access.
	#################

	import streamlit as st
	import aiohttp
	import asyncio


	async def fetch(session, url):
	try:
	async with session.get(url) as response:
	result = await response.json()
	return result

	from __future__ import print_function
	import pickle
	import os.path
	from googleapiclient.discovery import build
	from google_auth_oauthlib.flow import InstalledAppFlow
	from google.auth.transport.requests import Request
	from apiclient import errors
	import re
	from bs4 import BeautifulSoup as Soup

	# 20161122 https://github.com/ConradIrwin/rxxr2/blob/master/data/input/regexlib-raw.txt http://www.cs.bham.ac.uk/~hxt/research/rxxr2/

	# This will find URLs in plain text. With or without protocol. It matches against all toplevel domains to find the URL in the text.
	# ID: 1016
	([\d\w-.]+?\.(a[cdefgilmnoqrstuwz]\|b[abdefghijmnorstvwyz]\|c[acdfghiklmnoruvxyz]\|d[ejkmnoz]\|e[ceghrst]\|f[ijkmnor]\|g[abdefghilmnpqrstuwy]\|h[kmnrtu]\|i[delmnoqrst]\|j[emop]\|k[eghimnprwyz]\|l[abcikrstuvy]\|m[acdghklmnopqrstuvwxyz]\|n[acefgilopruz]\|om\|p[aefghklmnrstwy]\|qa\|r[eouw]\|s[abcdeghijklmnortuvyz]\|t[cdfghjkmnoprtvwz]\|u[augkmsyz]\|v[aceginu]\|w[fs]\|y[etu]\|z[amw]\|aero\|arpa\|biz\|com\|coop\|edu\|info\|int\|gov\|mil\|museum\|name\|net\|org\|pro)(\b\|\W(?<!&\|=)(?!\.\s\|\.{3}).*?))(\s\|$)

	# Retrieves all anchor links in a html document, useful for spidering. You will need to do a replace of " and ' after the regular expression, as the expression gets all links. As far as I know there is no way, even with \1 groupings, of getting a condition on whether the link

	I followed these two blogs to install server
	1. http://koo.fi/blog/2015/03/19/openstreetmap-nominatim-server-for-geocoding/#Compile_Nominatim
	This explains ( and is the main blog which I followed) various steps
	2. https://www.linuxbabe.com/linux-server/openstreetmap-tile-server-ubuntu-16-04
	This explains how to setup swap files and install tiles if needed.

	I will use Ubuntu 14.04 LTS as the platform. Just a basic install with ssh server. We will install Apache to serve http requests. Make sure you have enough disk space and RAM to hold the data and serve it efficiently. I used the Finland extract, which was about a 200 MB download. The resulting database was 26 GB after importing, indexing and adding Wikipedia data. The Wikipedia data probably actually took more disk space than the OSM data. My server has 4 GB RAM, which seems to be enough for this small data set.

	1. Sofware requirements

	:80 {
	root /serve
	}