Fernando Canteruccio naripok

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

Recon and Attack Vectors from My Logs

This document contains excerpts from my web server logs collected over a period of 7 years that shows various kinds of recon and attack vectors.

There were a total of 37.2 million lines of logs out of which 1.1 million unique HTTP requests (Method + URI) were found.

$ sed 's/^.* - - \[.*\] "\(.*\) HTTP\/.*" .*/\1/' access.log &gt; requests.txt

Challenge

Write a function of type String -> Integer. The input may or may not be a valid JSON string. If it is valid, the resulting JavaScript value is expected to be an object, but may not be. If it is an object, it is expected to have a foo property whose value is expected to be an object, but may not be. This value is expected to have a bar property which is expected to be an object with a baz property whose value is expected to be an array of strings. Each of these strings is expected to be a hex representation of an integer (e.g. 0xFF). If every element of the array meets this expectation, the

	import json
	import requests
	import logging
	import os
	from logging.config import dictConfig

	# debug settings
	debug = eval(os.environ.get("DEBUG", "False"))

	from flask import Flask, make_response, request

	#!/usr/bin/env python3
	# Demonstrates the use of Python to work with Cognito.
	# Create a new a user, log in, check tokens and call an API.
	# The purpose was to learn about Cognito. Security has been
	# circumvented in the interest of keeping it simple.
	# Notably, the authentication procedure uses the most insecure
	# method. This code is not intended for use in production.
	#
	# https://www.neant.ro/aws/working-with-cognito-and-api-gateway-in-python.html

	# -- coding: utf-8 --

	"""
	Copyright (c) 2019 Valentin B.

	A simple music bot written in discord.py using youtube-dl.

	Though it's a simple example, music bots are complex and require much time and knowledge until they work perfectly.
	Use this as an example or a base for your own bot and extend it as you want. If there are any bugs, please let me know.

	#!/bin/bash -e

	ln -s /usr/lib/x86_64-linux-gnu/amdgpu-pro .
	ln -s /etc/OpenCL .

	tar -czvf libs.tar.gz amdgpu-pro/*
	tar -czvf conf.tar.gz OpenCL/*

	cat > .dockerignore << EOF
	OpenCL

	# lazyload nvm
	# all props goes to http://broken-by.me/lazy-load-nvm/
	# grabbed from reddit @ https://www.reddit.com/r/node/comments/4tg5jg/lazy_load_nvm_for_faster_shell_start/

	lazynvm() {
	unset -f nvm node npm npx
	export NVM_DIR=~/.nvm
	[ -s "$NVM_DIR/nvm.sh" ] && . "$NVM_DIR/nvm.sh" # This loads nvm
	if [ -f "$NVM_DIR/bash_completion" ]; then
	[ -s "$NVM_DIR/bash_completion" ] && \. "$NVM_DIR/bash_completion" # This loads nvm bash_completion

Fernando Canteruccio naripok

Recon and Attack Vectors from My Logs

Challenge

24 Days of PureScript

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