For the Kernel Image and the exploit visit (https://github.com/nishantparhi/Custom-Kernel-Exploit)

I will present the first steps I learned in the operating system kernel exploitation- Linux, what can be done, how to do it, and especially the basics that will open the kernel login gateway.This article is not about researching/exploiting weaknesses in the operating system but rather exploiting weaknesses that occur when we run in Kernel mode. In the field of binary exploitation, or know and understand the following:

  • Kernel modules
  • C and Assembly
  • buffer overflow

Kernel Mode can run 2 types of code:

  • Kernel code in the container operating system — The basic parts of the system run including memory manager, process manager, file system, etc. …


My Journey with Google Code In started 3 years ago. In my first year as a participant, I completed 7 tasks for Ubuntu. I had started too late and was unable to do more than 7 tasks. I waited a year for Google Code In 2019 and I participated in Fedora-Project. …


I have already briefed about tensorflow in my old blogs, in short it is an open-source library with is capable of running machine learning algorithms. Now lets jump to the installation part.

*Installation of Tensorflow with GPU support and anaconda*

Hardware requirements

NVIDIA GPU card with CUDA® Compute Capability 3.5 or higher, CUDA-enabled GPU cards

Software requirements

The following NVIDIA software must be installed on your system:

  • Visual Studio is required, so download the latest version of Visual studio code
  • NVIDIA® GPU drivers — CUDA 10.0 requires 410.x or higher.
  • Download your driver accordingly matching your GPU (Nearly 400MB)
  • CUDA® Toolkit — TensorFlow supports CUDA 10.0 …

About

Nishant Parhi

Just a Geek

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