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The official Certified Edible Dinosaurs CTF toolkit. pwnypack attempts to provide a toolset which can be used to more easily develop CTF solutions.

Build Status


After seeing the excellent pwntools by Gallopsled, I got interested in building my own CTF toolkit. pwntools is much more complete so you should probably use that. pwnypack was created mostly out of curiosity.


First, make sure your setuptools and pip packages are up to date:

$ pip install -U setuptools pip

To install the latest released version of pwnypack with all optional dependencies, run:

$ pip install --no-binary capstone,keystone-engine pwnypack[all]

To install the latest released version of pwnypack with minimal dependencies, run:

$ pip install pwnypack

Other available install targets are:

  • --no-binary keystone-engine pwnypack[asm] - installs keystone-engine to support all assembler targets without any additional depenencies.
  • --no-binary capstone pwnypack[disasm] - installs capstone for AT&T and intel syntax disassembly, required to disassemble ARM binaries.
  • --no-binary capstone pwnypack[rop] - installs capstone to validate ROP gadgets.
  • pwnypack[ssh] - installs paramiko to enable the Flow module to connect to SSH servers.
  • pwnypack[shell] - installs ipython to support the enhanced pwnypack REPL environment.
  • pwnypack[pwnbook] - installs jupyter to support the pwnbook jupyter notebook.

If you want to use the interactive shell I highly recommend installing either bpython or ipython as those packages can make your time in the shell a lot more enjoyable.


You can also use our published docker images.

To start an ipython powered pwnypack shell:

docker pull edibledinos/pwnypack:latest
docker run --rm -it edibledinos/pwnypack:latest

Or, to run pwnbook:

docker pull edibledinos/pwnbook:latest
docker run --rm -it -p 8888:8888 edibledinos/pwnbook:latest

Both images expose a volume (/projects). Feel free to mount something interesting there.

Three tags are available:

  • py3 (or: latest) installs python 3 and pwnypack/pwnbook.
  • py2 installs python 2 and pwnypack/pwnbook.


To import all of pwnypack into your global namespace, use:

>>> from pwny import *

Or, if you're using python 2.7+ or python 3.3+, try the customized bpython or IPython shell:

$ pwny shell

If you have bpython and/or IPython installed you can use --bpython, --ipython or --python to select which interactive kernel to use.

I promise that effort will be put into not exposing unnecessary stuff and thus overly polluting your global namespace.

For an example, check out the Big Prison Fence example in the wiki.

Common errors

Capstone/keystone fails to import the dynamic library.

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/ingmar/.virtualenvs/pp/lib/python3.5/site-packages/capstone/", line 230, in <module>
    raise ImportError("ERROR: fail to load the dynamic library.")
ImportError: ERROR: fail to load the dynamic library.

The capstone and keystone packages have a bug which when used with a new verion of pip will end up installing the dynamic libraries in the wrong location on some platforms. Re-install capstone and/or keystone using:

$ pip install --no-binary capstone capstone
$ pip install --no-binary keystone-engine keystone-engine

SyntaxError when importing pwnypack.

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pwny/", line 9, in <module>
    from pwnypack.pwnbook import *
  File "pwnypack/", line 2, in <module>
    from jupyter_client import kernelspec as kernelspec
  File "/Users/ingmar/.virtualenvs/pwny26/lib/python2.6/site-packages/jupyter_client/", line 4, in <module>
    from .connect import *
  File "/Users/ingmar/.virtualenvs/pwny26/lib/python2.6/site-packages/jupyter_client/", line 23, in <module>
    from traitlets.config import LoggingConfigurable
  File "/Users/ingmar/.virtualenvs/pwny26/lib/python2.6/site-packages/traitlets/", line 1, in <module>
    from .traitlets import *
  File "/Users/ingmar/.virtualenvs/pwny26/lib/python2.6/site-packages/traitlets/", line 1331
    return {n: t for (n, t) in cls.class_traits(**metadata).items()
SyntaxError: invalid syntax

You've installed jupyter notebooks on python 2.6. Use a more modern version of python.


pwnypack's API documentation is hosted on readthedocs.

For information on the commandline apps use the built in help function:

$ pwny --help
$ pwny shell --help


pwnypack was created by Certified Edible Dinosaurs (dsc & doskop). If you want to contribute, feel free to fork and create a pull request on GitHub.

Current contributors:

  • blasty <> contributed the ARM shellcode generator.


pwnypack is distributed under the MIT license.


Certified Edible Dinosaurs official CTF toolkit







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