レアコイル rarecoil

Windows 10 LTSC as an Arch Linux ARM RPi 3 Build Slave

Your SBC (in my case a Raspberry Pi 3) is likely not the fastest machine in your collection. Thankfully, if you have a laptop or desktop you normally use, you can recruit it to assist your Raspberry Pi in compiling Arch Linux packages for itself. It is fairly easy to do with another Arch Linux machine, but a little tougher if you don't have one running that.

I have two laptops, a ThinkPad X250 running Windows 10 Enterprise LTSC and an Apple MacBook. The X250's i7-5600U has a substantial amount more power than my MacBook, but runs Windows. This is not a big deal with the Windows Subsystem for Linux and distcc, a distributed C compiler infrastructure.

For this to work, both computers must be on the same network and they must be able to talk to each other.

	#!/usr/bin/env python3

	import json
	import os
	import sys

	def main():
	if len(sys.argv) != 2:
	print("Usage: webpack_source_reconstruct.py /path/to/source.map")
	sys.exit(1)

	import requests
	import hashlib

	URI = "http://docker.hackthebox.eu:35596"
	PROXIES = {} # {'http':'http://127.0.0.1:8080'}

	def get_and_hash(ret):
	begin = ret.find("<h3 align='center'>") + 19
	end = ret.find("</h3>")
	md5_string = ret[begin:end].encode('utf-8')

	package main

	import (
	"bufio"
	"fmt"
	"log"
	"os"
	"strings"
	"time"
	)

	#!/usr/bin/env python3
	"""
	maskify.py

	Creates password categorization masks from big password lists
	in a multithreaded fashion. Note that it assumes you have enough
	RAM to hold the unique mask dict in memory. Used to analyze a 300M+
	unique password list for types and occurrences.

	On an ODROID-C2, runs at about 50-52K passwords/sec.