TL;DR: GEF is a kick-ass set of commands for X86, ARM, MIPS, PowerPC and SPARC to
make GDB cool again for exploit dev.
GEF is aimed to be used mostly by exploiters and reverse-engineers. It
provides additional features to GDB using the Python API to assist during the
process of dynamic analysis or exploit development.
GEF fully relies on GDB API and other Linux specific source of information
(such as /proc/pid). As a consequence, some of the features might not work on
custom or harden systems such as GrSec.
It has full support for Python2 and Python3 indifferently (as more and more
distro start pushing gdb compiled with Python3 support).
Quick start
Install
Simply make sure you're having a GDB 7.x+.
# via the install script $ wget -q -O- https://github.com/hugsy/gef/raw/master/gef.sh | sh # manually $ wget -q -O ~/.gdbinit-gef.py https://github.com/hugsy/gef/raw/master/gef.py $ echo source ~/.gdbinit-gef.py >> ~/.gdbinit
Then just start playing (for local files):
$ gdb -q /path/to/my/bin gef> gef help
Or (for remote debugging)
remote:~ $ gdbserver 0.0.0.0:1234 /path/to/file
Running as PID: 666And
local:~ $ gdb -q gef> gef-remote -t your.ip.address:1234 -p 666
Update
If your host/VM is connected to Internet, you can update gef easily to the latest version (even without git installed)
$ python /path/to/gef.py --update Updated
For example,
$ python ~/.gdbinit-gef.py --update
UpdatedIf no updates are available, gef will respond No update instead.
Show me
x86
ARM
PowerPC
MIPS
SPARC v9
Dependencies
There are none: GEF works out of the box! However, to enjoy all the coolest features, it is highly recommended to install:
{Cap,Key}stone
capstone (by Nguyen Anh Quynh)is an alternative disassembly engine, and keystone is an (arguably the best) assembly engine.
You can use pip to simply and quickly install it.
$ pip2 install capstone keystone-engine # for Python2.x $ pip3 install capstone keystone-engine # for Python3.x
capstone and keystone are under very active development and improvement, so it is recommended to compile and install them from git.
$ git clone https://github.com/keystone-engine/keystone.git $ mkdir -p keystone/build && cd keystone/build $ cmake .. && make -j8 $ sudo make install $ cd ../bindings/python && sudo make install # or sudo make install3 for Python3
capstone provides an alternative to the gdb disassembler, which could be useful specifically when dealing with complex/uncommon instructions.
keystone allows to generate opcodes, which can, for example, then be used as part of a shellcode.
Unicorn
unicorn (also written by Nguyen Anh Quynh) is a lightweight Qemu-based framework to emulate any architecture currently supported by GDB (and even some more).
Install is simple through the released packages but I would recommend instead to rely on the GIT master branch.
$ git clone https://github.com/unicorn-engine/unicorn.git && cd unicorn && ./make.sh && sudo ./make.sh install
unicorn integration in gef allows to emulate the behaviour to specific instructions (or block of instructions) based on the runtime context, without actually running it, and therefore sparing the trouble of saving the context/running the new context/restoring the old context. Additionally, gef can generate a standalone unicorn Python script, if you want/need to reproduce steps outside the debugger.
ROPGadget
ROPgadget (written by Jonathan Salwan) is simply the best cross-platform ROP gadget finder. It has been totally integrated inside gef to benefit of all of its awesomeness.
$ pip[23] install ropgadget
Ropper
Ropper (written by Sascha Schirra) is another gadget finder. It supports opening multiple files and provides an awesome search option to find accurate gadgets.
One-liner
Some of the optional dependencies can be installed using Python package
installer, pip. Simply run this
$ pip install ropgadget ropper capstone
But why not PEDA?
Yes ! Why not ?! PEDA is a fantastic tool to
do the same, but is only to be used for x86-32 or x86-64. On the other hand,
GEF supports all the architecture supported by GDB (x86, ARM, MIPS, PowerPC,
SPARC, and so on).
Bugs & Feedbacks
Go here
Contributors
gef was created and maintained by myself, @_hugsy_.
I would like to thank all the contributors to this project, including:
- the people who committed some code (https://github.com/hugsy/gef/graphs/contributors)
- and others:
- @rick2600





