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txtblk='\[\e[0;30m\]' # Black - Regular
txtred='\[\e[0;31m\]' # Red
txtgrn='\[\e[0;32m\]' # Green
txtylw='\[\e[0;33m\]' # Yellow
txtblu='\[\e[0;34m\]' # Blue
txtpur='\[\e[0;35m\]' # Purple
txtcyn='\[\e[0;36m\]' # Cyan
txtwht='\[\e[0;37m\]' # White
bldblk='\[\e[1;30m\]' # Black - Bold
bldred='\[\e[1;31m\]' # Red
Tools
Nmap - Possible
Nikto - Possible
Dirbuster - Possible - https://sourceforge.net/projects/dirbuster/files/latest/download
BurpSuite - Possible
Metasploit - Possible
Smbclient - Not Possible
Searchsploit - Possible - brew install exploitdb
Masscan
/*! normalize.css v7.0.0 | MIT License | github.com/necolas/normalize.css */html{line-height:1.15;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,footer,header,nav,section{display:block}h1{font-size:2em;margin:.67em 0}figcaption,figure,main{display:block}figure{margin:1em 40px}hr{-webkit-box-sizing:content-box;box-sizing:content-box;height:0;overflow:visible}pre{font-family:monospace,monospace;font-size:1em}a{background-color:transparent;-webkit-text-decoration-skip:objects}abbr[title]{border-bottom:none;text-decoration:underline;-webkit-text-decoration:underline dotted;text-decoration:underline dotted}b,strong{font-weight:inherit}b,strong{font-weight:bolder}code,kbd,samp{font-family:monospace,monospace;font-size:1em}dfn{font-style:italic}mark{background-color:#ff0;color:#000}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}audio,video{display:inline-block}audio:not([controls]){display:none;hei
model.save("/content/gdrive/My Drive/model.h5")
drive.mount('/content/gdrive')
from google.colab import drive
set nocompatible " required
filetype off " required
set number
" set the runtime path to include Vundle and initialize
set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()
" alternatively, pass a path where Vundle should install plugins
"call vundle#begin('~/some/path/here')
_test = pd.read_csv('https://raw.githubusercontent.com/tommasodeponti/Datasets/master/test_.csv')
prediction = list(model.predict(_test))
print(prediction)
from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.textinput import TextInput
from kivy.uix.boxlayout import BoxLayout
import pyttsx3
def say(text):
engine = pyttsx3.init()
voices = engine.getProperty('voices')
from kivy.app import App
from kivy.uix.button import Button
class TestApp(App):
def build(self):
return Button(text='Hello World')
TestApp().run()