Nebula Wargame walkthrough Level 10-19

Posted on in Wargames • Tagged with Linux, Programming, Security, Problem Solving • 21 min read

Walkthrough of nebula wargame from level 10 to level 19


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Nebula Wargame walkthrough Level 0-9

Posted on in Wargames • Tagged with Linux, Programming, Security, Problem Solving • 6 min read

In this blog post we will walk through the solutions of the levels 0 to 9 of the Nebula wargame, which is hosted on http://exploit-exercises.com. This writeup will force me to memorize commands better and exercise a bit. I fear that this writeup is of no use for other people, since you hopefully want to solve those exercises on your own :)

Level 0 - Finding setuid programs in the filesystem

As the descriptions states you need to find a setuid binary that gets a shell for the flag00 user. We can find setuid executables with a command such as the following:

find / -type f -perm -4000 -user flag00 2>/dev/null

This command suppresses error messages (The 2>/dev/null part redirects error output to /dev/null). Furthermore the -perm -4000 flag is responsible for

All  of  the  permission bits mode are set for the file.  Symbolic modes are accepted in this form, and this is usually the way in which would want to use
them.  You must specify `u', `g' or `o' if you use a symbolic mode.   See the EXAMPLES section for some illustrative examples.

Now execute the found binary and run getflag and you should be …


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Solution for Natas11 for natas wargame on overthewire.org

Posted on in Php • Tagged with Wargames, Php, Programming, Security • 2 min read

Solution for Natas web security wargame with by XORing the plaintext with the ciphertext...

Currently I am playing some wargames on overthewire.org.

The first 10 levels were very easy and everyone with some technical knowledge and programming experience should be able to solve them. But somehow I got stuck for a few hours on level 11. The task is to modify a XOR encrypted cookie. For some reason I couldn't figure out how to obtain the xor key that was used.

The challenge was to reverse engineer the key by having the plaintext and the ciphertext. Of course I should have realized very quickly that xoring the plaintext with the ciphertext yields us back the key. But why is this so? Consider the following math:

plaintext xor ciphertext == key <=> plaintext xor (plaintext xor key) <=> plaintext xor plaintext xor key <=> 00000... xor key == key

As you can see, the plaintext cancels out. If the plaintext would be a single byte, say, 1100 1101, then XORing this byte with itself yields:
1100 1101 XOR 1100 1101 -------- 0000 0000

To finally get to solution of the wargame, you can safe the following file as a PHP file and run it:

<?php

function …

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Cross platform Lichess Cheat

Posted on in Chess • Tagged with Software, Python, Programming, Chess • 5 min read

Edit: Cheat updated on 1.10.2015

Visit Lichess Bot Projects Page for the newest information for this bot! The description and code below will probably not work anymore!


Hello Everyone

Once in a while I like to play Chess on lichess. But sometimes I get beat up tot harshly, such that I want to take some revenge :D. Recently I created a new cheat for lichess. You can find the whole source code on my lichess cheat github repository. If you want to use the cheat, please follow the following tutorial:

  1. Download and install Python 3.4 (or newer) for your operating system from here: python web site
  2. Add Python to your system path such that you can open python file from anywhere (This step depends on what operating system you are using)
  3. Then download the python cheat from here. It is the file with the .py suffix
  4. Then execute the python cheat file where you downloaded it. Just go to the directory where you saved it and enter in a shell: `python cheat_server.py
  5. Open your browser (tested with chrome and firefox) and add the HTTP proxy server in the network settings that is outputted in the Bash …

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A lot of work to do for GoogleScraper in the future and request for comments!

Posted on in Googlescraper • Tagged with Software, Python, Programming, Googlescraper • 3 min read

Hello dear readers

I get a lot of mail regarding questions about GoogleScraper. I really appreciate them, but at some stage I cannot answer them anymore. In the last weeks I didn't have a lot of time (and motivation I must admit) to put into GoogleScraper.

The reason is, that I am still unconfortable with the architecture of GoogleScraper. There are basically two ways to use the tool:

  • As a command line tool
  • From another program over the API (programming approach)

and furthermore there are 3 very different modes GoogleScraper runs in:

  • http mode
  • selenium mode which again can be divided in Firefox, Chrome and PhantomJS selenium browsers
  • asynchronous mode

whereas I think that selenium is the hardest to work with (very buggy and complex to program in). This leads to a complex software architecture, mainly because the two operational modes (CLI tool and API) have different priorities of how to handle exceptions.

The CLI tool should be VERY robust and it should to everything it can to continue scraping with the remaining ressources (like proxies, RAM, when lots of selenium instances become an issue, networking bandwith, ...), because the user cannot handle these problems by himself when he calls GoogleScraper …


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Implementing two Graph traversal algorithms in Python: Depth First Search and Breadth First Search

Posted on in Learning • Tagged with Programming, Learning, University • 2 min read

Depth First Search and Breadth First Search

I am right in front of a ton of exams and I need to learn about algorithms and data structures. When I read about pseudocode of Graph traversal algorithms, I thought:
Why not actually implement them in a real programming language? So I did so and now you can study my code now here. I guess this problem was solved a thousand times before, but I learnt something and I hope my approach has some uniqueness to it.

Additionlay, you can also generate a topological order after you traversed the whole Graph, which is a nice little extra.

If you want the most recent version of the code, you can visit its own Github repo here.

Well, here's the code. Just download and run it like this: python graph_traversal.py

# -*- coding: utf-8 -*-

__author__ = 'Nikolai Tschacher'
__version__ = '0.1'
__contact__ = 'admin@incolumitas.com'


import time
from collections import deque

"""
This is just a little representation of two basic graph traversal methods.

    - Depth-First-Search
    - Breadth-First-Search

It's by no means meant to be fast or performant. Rather it is for educational
purposes and to understand it better for myself.
"""


class Node(object):
    """Represents a node."""

    def …

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