LIKE-DBG

LIKE-DBG (LInux-KErnel-DeBuGger) aims at automating the boring steps when trying to set up a Linux kernel debugging environment. I set out to dive into kernel exploitation research and found existing solutions not usable enough. Hence, this is an attempt at making all necessary pre-steps before one can even think about diving into research as painless and fun as possible. All steps from building a kernel, running it inside an emulated environment, and attaching a debugger are transparently done inside docker containers to keep system requirements minimal. Currently, there's a dedicated docker container for every of the following steps:

• Building the kernel
• Creating a root file system to use with the kernel
• Launching the kernel + file system as the debuggee
• Attaching to the kernel as a debugger

Caveats

As this project is in its early stages, I expect things to change rapidly, while also introducing breaking changes along the way. Major points to improve on are:

• Getting towards true multi-architecture support beyond x86_64 and arm64
• Extend kernel builder to not only succeed in building recent™ kernels
• Add android kernel support
• Add (integration) tests
• Elevate the debugging experience even more

Features

On the upside, despite its early stages, a couple of useful features are already present:

• General:
  • Minimal host system requirements due to dockerization of every step
  • A single config (config.ini) to allow free customization
  • CTF runner that's specifically designed to handle Linux kernel exploitation challenges
    • ctf/misc that houses some nifty scripts to aid in CTFs
  • Code quality measures:
    • black formatter for python code
    • flake8 linter for all python code
    • shellcheck linter for shell scripts
    • hadolint linter for the Dockerfiles
  • Operating system agnostic, meaning it should run just fine on:
    • Debian/Ubuntu
    • Arch Linux/Manjaro
    • Fedora
• Kernel builder:
  • Multi-arch: x86_64, arm64
  • Choose between gcc and clang to build the kernel
  • Configuration modes:
    • generic-mode
    • syzkaller-mode
    • custom-mode
  • Fine-granular version control to build from:
    • Commit hash
    • Release tag (e.g.: 5.10-rc)
    • Major-Minor-Patch (e.g.: 5.10.77)
  • Ability to automatically apply patch files
• Root file system builder:
  • Powered by debootstrap
  • Automatic generation of file system that matches the kernels architecture
  • Ability to customize:
    • wanted packages in the file system
    • the Debian release version to base everything on
• Debuggee:
  • Powered by QEMU
  • Customization of QEMU runtime options from within the config.ini:
• Debugger:
  • Powered by GDB (multiarch) + GEF and GEF-extras
  • Allow users to specify GDB script in io/scripts/gdb_script to allow a scenario-tailored debugging experience

Requirements

To get started, you have to ensure to have the following requirements set up in your system:

• docker
• tmux
• python>=3.9
  • venv

Optional

This section covers tools that are not required to run LIKE-DBG but are nice to have and assist heavily when debugging or writing an exploit

• musl-gcc
• ctags
• ropr

Configuration

Fine-tuning the kernel debugging experience is one of the goals of this project. Currently, all tunable options are exposed in the config.ini. Some fields are recommended to not be altered as they're mainly for development reasons. However, all the ones to customize the environment to your needs should be self-explanatory as all of them are labeled with a brief comment.

Usage

Once you're set with the configuration, the usage depends on your scenario.

tmux -f .tmux.conf
python3 -m venv .like-dbg
source .like-dbg/bin/activate
python3 -m pip install --upgrade pip
python3 -m pip install -r requirements.txt
# If you want to build a Linux kernel image from scratch for a specific version to debug, go ahead and run:
./start_kgdb.py
# If you want to try a CTF challenge where you were given a compressed Linux Image and a root filesystem try:
./start_kgdb.py --ctf --env <Image> <RootFS>

Showcase

As a first-time user, you will see a lot of docker building messages race across the screen. In the end, your experience should look similar to this:

Hacking

The python code should be quite readable, so feel free to extend the project with your own ideas. All PRs are very much welcome :)! Otherwise, feel free to create a feature-request issue or head over to the discussions page to brainstorm some cool new features!

PS: If you want to provide a logo, feel free to do so.