How to decode the hidden message in e198vhoaac9u.jpg
Have you ever wondered if there is more to an image than meets the eye? In this article, we will show you how to decode the hidden message in e198vhoaac9u.jpg, a mysterious image that has been circulating on the internet.
The image e198vhoaac9u.jpg is a 300×300 pixel JPEG file that looks like a random pattern of pixels. However, if you look closely, you will notice that some pixels are slightly different in color than others. This is a clue that the image contains a hidden message encoded using a technique called steganography.
Steganography is the art of hiding information within other information, such as text, audio, or images. The hidden information can only be revealed by using a special key or algorithm. Steganography can be used for various purposes, such as encryption, authentication, or watermarking.
To decode the hidden message in e198vhoaac9u.jpg, we need to use a tool that can extract the data from the image. One such tool is stego-toolkit, a collection of steganography tools that can be run on Linux or Docker. We will use the Docker version for this tutorial.
First, we need to download the image e198vhoaac9u.jpg and save it in a folder called “stego”. Then, we need to run the following command in a terminal:
docker run -it --rm -v $(pwd)/stego:/data dominicbreuker/stego-toolkit /bin/bash
This will launch the stego-toolkit container and mount the folder “stego” as “/data” inside the container. Next, we need to run the following command inside the container:
cd /data && stegoveritas -meta -bruteLSB e198vhoaac9u.jpg
This will run stegoveritas, a tool that can automatically detect and extract steganographic data from images. The “-meta” option will show the metadata of the image, such as size, format, and color depth. The “-bruteLSB” option will try to extract data from the least significant bits (LSB) of each pixel, which is a common method of hiding data in images.
After running the command, we will see a lot of output on the screen. Most of it is irrelevant for our purpose, but if we scroll down to the end, we will see something interesting: