/vagd

VirtuAlization GDb integrations in pwntools

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

PyPI docs

VAGD

VirtuAlization GDb integrations in pwntools

Installation

pip install vagd

or from repo with

git clone https://github.com/gfelber/vagd
pip install ./vagd/

Usage

  • vagd template [OPTIONS] [BINARY] [IP] [PORT] to generate a template, list OPTIONS with help -h
#!/usr/bin/env python
from pwn import *

IP = ''         # remote IP
PORT = 0        # remote PORT
BINARY = ''     # PATH to local binary e.g. ./chal
ARGS = []       # ARGS supplied to binary
ENV = {}        # ENVs supplied to binary
# GDB SCRIPT, executed at start of GDB session (set breakpoint here)
GDB = f"""

c"""

context.binary = exe = ELF(BINARY, checksec=False)
# enable disable ASLR (works for GDB)
context.aslr = False

vm = None
def get_target(**kw):
    global vm

    if args.REMOTE:
        context.log_level = 'debug'
        return remote(IP, PORT)

    from vagd import Dogd, Qegd, Shgd
    if not vm:
        # Docker
        vm = Dogd(exe.path, image="ubuntu:jammy", ex=True, fast=True)
        # or Qemu
        vm = Qegd(exe.path, img="https://cloud-images.ubuntu.com/jammy/current/jammy-server-cloudimg-amd64.img", ex=True, fast=True)
        # or SSH
        vm = Shgd(exe.path, user='user', host='localhost', port=22, ex=True, fast=True)
    return vm.start(argv=ARGS, env=ENV, gdbscript=GDB, **kw) # returns a pwn.process (similar to pwn.process())


t = get_target()

t.interactive()
  • vagd info BINARY to print info about binary
# run as process in VM
./exploit.py
# run as gdb server in VM requires tmux
./exploit.py GDB
# run on remote IP:PORT
./exploit.py REMOTE

I recommend using pwndbg.

Files

All created files ares stored in the local ./.vagd/ directory. Additional large files (e.g. cloudimages) are stored in the home directory ~/.share/local/vagd/ or handled by tools themselfs (e.g. Docker).

CLI

alias vagd="python -m vagd" # or install with pip / pipx
# help message
vagd -h
# analyses the binary, prints checksec and .comment (often includes Distro and Compiler info)
vagd info BINARY
# creates template, for more info use: vagd template -h
vagd template [OPTIONS] [BINARY] [IP] [PORT]
# ssh to current vagd instance, for more info use: vagd ssh -h
vagd ssh [OPTIONS]
# scp file to/from vagd instance, for more info use: vagd scp -h
# e.g. vagd scp ./test_file vagd:./ # vagd:./ is default target
vagd scp [OPTIONS] SOURCE [TARGET]
# stop and remove current vagd instance, for more info use: vagd clean -h
vagd clean [OPTIONS]

Boxes

A listed of known working Boxes can be found in the Documentation. Other images might also work but currently only distributions that use apt and alpine for Docker are supported. This limitation may be circumvented by creating a target yourself (with the dependencies gdbserver, python, openssh) and creating a ssh connection via Shgd.

Troubleshooting

background processes

all instances continue to run in the background (after a vagd object has been started), this improves the runtime greatly after the first execution of the exploit. But this means that instances must be killed manually e.g.: vagd clean

gdb & gdbserver

Because gdbserver is used to run binaries on the instances I recommend using pwndbg. Other well known gdb plugins like peda aren't compatible with gdbserver and therefore won't work.

files

files on the virtual instance are never overwritten this has performance reason (so files aren't always copied if the exploit is run). If you need to updated files on the remote either use vagd scp or create use temporary directories Dogd(..., tmp=True)

gdb performance

Using gdbserver and gdb to index libraries can be very slow. Therefore an experimental feature is available that mounts libraries locally: Dogd(..., ex=True, fast=True)

Future plans

pre configured QEMU Images / Docker Image

created pre configured environments with preinstalled lib debug symbols and gdbserver to lower init runtime.

Better Docker integration

created a Docker integration that allows loading existing Dockerfiles (maybe docker-compose), also add a feature that additionally visualizes (Qemu) them to change the used kernel.