angr is a python library, so it must be installed into your python environment before it can be used. It is built for Python 3: Python 2 support is not feasable due to the looming EOL and the small size of our team.
We highly recommend using a python virtual environment to install and use angr. Several of angr's dependencies (z3, pyvex) require libraries of native code that are forked from their originals, and if you already have libz3 or libVEX installed, you definitely don't want to overwrite the official shared objects with ours. In general, don't expect support for problems arising from installing angr outside of a virtualenv.
All of the python dependencies should be handled by pip and/or the setup.py scripts. You will, however, need to build some C to get from here to the end, so you'll need a good build environment as well as the python development headers. At some point in the dependency install process, you'll install the python library cffi, but (on linux, at least) it won't run unless you install your operating system's libffi package.
On Ubuntu, you will want:
sudo apt-get install python3-dev libffi-dev build-essential virtualenvwrapper. If you are trying out angr Management, you will also need the PySide 2 requirements.
mkvirtualenv --python=$(which python3) angr && pip install angr should usually be sufficient to install angr in most cases, since angr is published on the Python Package Index.
Failing that, you can install angr by installing the following repositories, in order, from https://github.com/angr:
pip install angr should work, but there are some caveats.
If you're unlucky and run into a broken build script with Clang, try using GCC.
brew install gccenv CC=/usr/local/bin/gcc-6 pip install angr
After installing angr, you will need to fix some shared library paths for the angr native libraries. Activate your virtual env and execute the following lines. A script is provided in the angr-dev repo.
PYVEX=`python3 -c 'import pyvex; print(pyvex.__path__)'`UNICORN=`python3 -c 'import unicorn; print(unicorn.__path__)'`ANGR=`python3 -c 'import angr; print(angr.__path__)'`install_name_tool -change libunicorn.1.dylib "$UNICORN"/lib/libunicorn.dylib "$ANGR"/lib/angr_native.dylibinstall_name_tool -change libpyvex.dylib "$PYVEX"/lib/libpyvex.dylib "$ANGR"/lib/angr_native.dylib
angr can be installed from pip on Windows, same as above:
pip install angr. You should not be required to build any C code with this setup, since wheels (binary distributions) should be automatically pulled down for angr and its dependencies.
There is a special repository
angr-dev with scripts to make life easier for angr developers. You can set up angr in development mode by running:
git clone https://github.com/angr/angr-devcd angr-dev./setup.sh -i -e angr
This creates a virtualenv (
-e angr), checks for any dependencies you might need (
-i), clones all of the repositories and installs them in editable mode.
setup.sh can even create a PyPy virtualenv for you (replace
-p), resulting in significantly faster performance and lower memory usage.
You can branch/edit/recompile the various modules in-place, and it will automatically reflect in your virtual environment.
The angr-dev repository has a setup.bat script that creates the same setup as above, though it's not as magical as setup.sh. Since we'll be building C code, you must be in the visual studio developer command prompt. Make sure that if you're using a 64-bit python interpreter, you're also using the 64-bit build tools (
pip install virtualenvgit clone https://github.com/angr/angr-devcd angr-devvirtualenv -p "C:\Path\To\python3\python.exe" envenv\Scripts\activatesetup.bat
You may also substitute the use of
virtualenv above with the
virtualenvwrapper-win package for a more streamlined experience.
For convenience, we ship a Docker image that is 99% guaranteed to work. You can install via docker by doing:
# install dockercurl -sSL https://get.docker.com/ | sudo sh# pull the docker imagesudo docker pull angr/angr# run itsudo docker run -it angr/angr
Synchronization of files in and out of docker is left as an exercise to the user (hint: check out
You might find yourself needing to install additional packages via apt. The vanilla version of the container does not have the sudo package installed, which means the default user in the container cannot escalate privilege to install additional packages.
To over come this hurdle, use the following docker command to grant yourself root access:
# assuming the docker container is running# with the name "angr" and the instance is# running in the background.docker exec -ti -u root angr bash
This specific error represents an incompatibility between the pre-compiled version of libz3.so and the installed version of
libgomp. A Z3 recompile is required. You can do this by executing:
pip install -I --no-binary z3-solver z3-solver
Are you running Ubuntu 12.04? If so, please stop using a 6 year old operating system! Upgrading is free!
You can also try upgrading pip (
python -m pip install -U pip), which might solve the issue.
You have an outdated version of the
cffi Python module. angr now requires at least version 1.7 of cffi. Try
pip install --upgrade cffi. If the problem persists, make sure your operating system hasn't pre-installed an old version of cffi, which pip may refuse to uninstall. If you're using a Python virtual environment with the pypy interpreter, ensure you have a recent version of pypy, as it includes a version of cffi which pip will not upgrade.
If you can import angr but it doesn't seem to be the actual angr module... did you accidentally name your script
angr.py? You can't do that. Python does not work that way.
You have the
keystone package installed, which conflicts with the
keystone-engine package (an optional dependency of angr). Please uninstall
keystone. If you would like to install
keystone-engine, please do it with
pip install --no-binary keystone-engine keystone-engine, as the current pip distribution is broken.