fyxme

#!/usr/bin/env python

## On Microsoft RDWeb (Work resources - RemoteApp and Desktop Connection) Pages, 
## You can force NTLM auth with the following command:
## > curl https://remote.vulnerable.com/RPC/ -H "Authorization: NTLM TlRMTVNTUAABAAAAB4IIogAAAAAAAAAAAAAAAAAAAAAGAbEdAAAADw==" -v

## Decodes NTLM "Authenticate" HTTP-Header blobs.
## Reads the raw blob from stdin; prints out the contained metadata.
## Supports (auto-detects) Type 1, Type 2, and Type 3 messages.
## Based on the excellent protocol description from:

fyxme

#!/bin/bash

# Script to install checkrain on Debian based distros 
# From https://checkra.in/linux

# Easiet way to jailbreak, get a live usb Debian iso, install checkra1n and run checkra1n

wget -O - https://assets.checkra.in/debian/archive.key | gpg --dearmor | sudo tee /usr/share/keyrings/checkra1n.gpg >/dev/null
echo 'deb [signed-by=/usr/share/keyrings/checkra1n.gpg] https://assets.checkra.in/debian /' | sudo tee /etc/apt/sources.list.d/checkra1n.list
sudo apt-get update

fyxme

# first: mkdir user && cd user && cp /path/to/get_gists.py .
# python3 get_gists.py user
import requests
import sys
from subprocess import call

user = sys.argv[1]

r = requests.get('https://api.github.com/users/{0}/gists'.format(user))

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{
    "target":{
        "scope":{
            "advanced_mode":true,
            "exclude":[
                {
                    "enabled":true,
                    "host":".*\\.google\\.com",
                    "protocol":"any"
                },

fyxme

package main

/*

Golang proxy example to abuse more complex SQL injections which may not be picked up by sqlmap. For example, SQL injections in CTF challenges

*/

import (
    "fmt"

fyxme

#!/usr/bin/env python

import math

def isPrime(n):
    """ Check if n is prime using trial division as our primality test """

    if n%2 == 0 and n > 2:
        # takes care of all the even numbers
        return False

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from random import random
from time import time

from multiprocessing import Pool
import matplotlib.pyplot as plt

def _avg(results):
    return sum(results) / float(len(results))

def _range(results):