Academic

TOR Spy Services

Knowing all possible web paths in the world is the initial step for making a search engine (SE). By means of  SE one can analyze the web for the material he/she likes. In normal Domain Name System, each TLD provider (Top Level Domain) can sell or release list of all its domains. As an example .com TLD can sell or release all the domains which are end with “.com“. But the problem is more complicated in TOR (or other hidden service providers). In this post I will talk about my tool named Onion Harvester and how to find initial points for finding hidden services to be crawled.

TOR Network

TOR Network

Continue reading Onion Harvester: First step to TOR Search Engines

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In this tutorial I want to write about using Apache Spark on Ubuntu machines where you can develop big data analysis apps with it.

First of all, I want to write a small and quick introduction to Hadoop + Spark environment. Hadoop makes it possible to work with lots of computers in a cluster. Work can be: storing files in cluster (HDFS – Hadoop Distributed File System), storing database in cluster (Apache HBase), or run software in cluster (MapReduce, Spark).

Continue reading Apache + Yarn + Spark: Play with Twitter data!

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I like to play with VirtualBox. So in this post I will show you how to install Kali Linux on a USB disk with VirtualBox which can be run both on VirtualBox and directly bootable.

kali-linux-sticker

Every change you made with VirtualBox (or direct access) will be stored on USB and can be accessed with Direct Access (or VirtualBox). It is awesome to use VirtualBox when you want to work beside another OS. And also awesome when you want to boot directly from Physical Computer.

Continue reading Installing Kali Linux on USB with VirtualBox

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Recently I’ve interested in byte code structure of Java and Dalvik. I’ve found some useful tools for playing with them.

Destination Byte Code

Java byte codes are simple to reverse engineering because they compile in run time. i.e. JVM will execute the byte codes in run time, thus Java code is cross platform but executes with more delay than direct compiled machine codes (for example using C++ and gcc).

Continue reading Reversing Java: Part I

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