Hacking (Reverse engineering): Gaining access with wrong password

In this post, I will quickly show how you can use a debugger to hack poorly written or packaged code. More specifically, how to enter a wrong password but still get access. Before proceeding, I should be clear, that this is just a demonstration, and the programs out there in production (these days) will definitely not vulnerable to this method (if it is, then it is a shitty program). This is to demonstrate how you can change the execution path as you wish.

First I will show a simple code which prompts for a password to be set, then encrypts it using MD5 sum hash and salt and stores the hash in a file. Then it asks for the same password, reads the hash from the stored file and compares if the two entered passwords are same or not. Then I will show how to reverse engineer the executable file and enter the wrong password, but still make it think that we the correct password was entered. Continue reading “Hacking (Reverse engineering): Gaining access with wrong password”

Using WordPress.com stats API

gimp_logoLong ago I posted about the WordPress.com stats API. WordPress.com Stats API. WordPress.com stores your blog’s raw visit stats which is available via your API key and the blog URL. Basically these stats are used to show the stats you see in your dashboard.


The older wordpress.com dashboard did not have much visualisations of the stats, but the new dashboard has introduced some more ways to see how your blog is doing. When I posted WordPress.com Stats API, there was absolutely no trace or documentation about the wordpress.com API. It seemed that even the guys in wordpress.com was not well aware about if such an API existed :D . (Check the post to know why).

At the previous post I just provided some guides on how to fetch the data. Recently I planned to write a quick implementation to fetch the stats from wordpress.com and therefore I am going to share the script. This is a quick and dirty implementation to demonstrate the stuff. I have also made a few processing on the incoming data and made a few plots. Most of which might not (will not) make much sense (especially the box plots), but it’s just for the baseline. Let’s proceed with the code. Continue reading “Using WordPress.com stats API”

Find process IDs of a running process by name

In this post I will talk about a procedure to find the process IDs of a running process by name, which can then be used to send signals or do other stuffs. For example if you have multiple instances of bash opened, this should be able to get you the list of process IDs (PIDs) of the bash instances.

Firstly, a shell utility is already available called pidof which is a part of the sysvinit-tools package. There are a whole bunch of tools in this package which lets you query PID based on different requirements, send signals to set of processes, etc. Just check out the stuff.

I will only mention the outline of how this is done and post the sourcecodes to do it. After that this can be extended to have many features just like the tools of sysvinit-tools package or more.
Continue reading “Find process IDs of a running process by name”

Plot histogram in terminal

We had assignments to print “*”s in different formation in undergraduate class, which I never liked as they were pointless. Now I got a somewhat justifiable application, plot histogram in terminal. In the last post Generating random numbers from Normal distribution in C I posted the C code to generate random numbers from the Normal distribution using the Polar method. In this post I am posting a simple code to plot the histogram of generated random numbers from this or any other distribution. Let me first post the code and then explain what is going on. Continue reading “Plot histogram in terminal”

Generating random numbers from Normal distribution in C

I needed to write a random number generator in C which will generate random numbers from Normal Distribution (Gaussian Distribution). Without this component I couldn’t proceed to finish writing a C code for Heuristic Kalman Algorithm by Lyonnet and Toscano for some experiments. I selected the Marsaglia and Bray method also known as the Polar method to generate Normal random variables. Here is how it is done. Continue reading “Generating random numbers from Normal distribution in C”

Dynamically allocating 2d array with adjacent rows in memory

In a previous post “Allocating multidimentional array at runtime in C” I have explained a technique to allocate multidimensional arrays on runtime. While playing around with OpenMPI, I came to know that while sending/receiving a buffer, it requires the elements of a 2d matrix (or any dimension) to be in adjacent. Basically it does not care what you send, or receive, what it cares is the number of elements to be send should be adjacent to one another. In the previous post, the process will allocate the 2d or n-d matrix, but the rows of the matrix may not be adjacent to each other, as each row was allocated separately with malloc and then inserted into another array of pointers, each of which location points to the base addresses of these memory block. Read the post for details.

In C language the 2d array/matrix are stored in a row-major order, that is the elements of the matrix are stored adjacent to each other in the memory row wise. The first row comes first then just after the first row the second row starts, and so on. In the previous method the rows of the matrix may be scattered throughout the memory, as they are allocated with seperate malloc calls, but each of these returned addresses to the memory blocks (used as rows) are assigned to another array of pointers, which holds the rows together, and allows the mat[i][j] syntax to work.

For the applications in which, we might need to allocate the matrix dynamically at runtime, also have the rows of the matrix requires to be adjacent in the memory, and also make the mat[i][j] syntax work can be fulfilled by the following approach.
Continue reading “Dynamically allocating 2d array with adjacent rows in memory”

Get sorted index orderting of an array

Yesterday i was translating some code i wrote in R to C++. I had some calculation to do which required the list of index of the top n values in a list. Therefore what i needed was not a the list sorted itself or get a sorted copy of a given list, but actually the sorted order of the index into the actual array. To describe the problem, for example consider the following list:

arr = 20 50 40 80 10

The sorted (non-decreasing) ordering of the values is obviously

sorted_arr = 10 20 40 50 80

The sorted (non-decreasing) ordering of the index into the original array is (index starts at 1 in this example)

sorted_index_into_arr = 5 1 3 2 4

Therefore the smallest value in the list arr could be found by indexing into arr using the first value of sorted_index_into_arr, which stores the index of the array arr holding the smallest value.

arr[ sorted_index_into_arr[1] ]

The sorted index ordering is very easy to get in languages like R and Octave or Matlab. For example in R we can do the following to get the sorted index order using the order function:

> arr <- c (20, 50, 40, 80, 10)
> arr
[1] 20 50 40 80 10
> order (arr)
[1] 5 1 3 2 4

In the case of Octave or Matlab you can get the index order using the sort function, which will return two lists (1xn matrix), the first list is the sorted array itself, and the next one is the sorted index order into the original array.

octave:1> a = [20 50 40 80 10]
a =

   20   50   40   80   10

octave:2> [sorted index] = sort (a)
sorted =

   10   20   40   50   80

index =

   5   1   3   2   4

Although these functional languages provides gives these features in C/C++ it is not immediately available using the builtin sort library functions. But the sorting routines accepts a function pointer to a comparison function, writing appropriate code for which will do the trick.
Continue reading “Get sorted index orderting of an array”