An Analysis Tool for Smart Contracts

A container with the dependencies set up can be found here.

To open the container, install docker and run:

docker pull luongnguyen/oyente && docker run -i -t luongnguyen/oyente

To evaluate the greeter contract inside the container, run:

cd /oyente/oyente && python oyente.py -s greeter.sol

and you are done!

Note - If need the version of Oyente referred to in the paper, run the container from here

To run the web interface, execute docker run -w /oyente/web -p 3000:3000 oyente:latest ./bin/rails server

docker build -t oyente .
docker run -it -p 3000:3000 -e "OYENTE=/oyente/oyente" oyente:latest

Open a web browser to http://localhost:3000 for the graphical interface.

Execute a python virtualenv

python -m virtualenv env
source env/bin/activate

Install Oyente via pip:

$ pip2 install oyente

Dependencies:

The following require a Linux system to fufill. macOS instructions forthcoming.

solc evm

$ sudo add-apt-repository ppa:ethereum/ethereum
$ sudo apt-get update
$ sudo apt-get install solc

1. https://geth.ethereum.org/downloads/ or
2. By from PPA if your using Ubuntu

$ sudo apt-get install software-properties-common
$ sudo add-apt-repository -y ppa:ethereum/ethereum
$ sudo apt-get update
$ sudo apt-get install ethereum

Download the source code of version z3-4.5.0

Install z3 using Python bindings

$ python scripts/mk_make.py --python
$ cd build
$ make
$ sudo make install

pip install requests

pip install web3

#evaluate a local solidity contract
python oyente.py -s <contract filename>

#evaluate a local solidity with option -a to verify assertions in the contract
python oyente.py -a -s <contract filename>

#evaluate a local evm contract
python oyente.py -s <contract filename> -b

#evaluate a remote contract
python oyente.py -ru https://gist.githubusercontent.com/loiluu/d0eb34d473e421df12b38c12a7423a61/raw/2415b3fb782f5d286777e0bcebc57812ce3786da/puzzle.sol

And that's it! Run python oyente.py --help for a list of options.

The accompanying paper explaining the bugs detected by the tool can be found here.

A collection of the utilities that were developed for the paper are in misc_utils. Use them at your own risk - they have mostly been disposable.

1. generate-graphs.py - Contains a number of functions to get statistics from contracts.
2. get_source.py - The get_contract_code function can be used to retrieve contract source from EtherScan
3. transaction_scrape.py - Contains functions to retrieve up-to-date transaction information for a particular contract.

Note: This is an improved version of the tool used for the paper. Benchmarks are not for direct comparison.

To run the benchmarks, it is best to use the docker container as it includes the blockchain snapshot necessary. In the container, run batch_run.py after activating the virtualenv. Results are in results.json once the benchmark completes.

The benchmarks take a long time and a lot of RAM in any but the largest of clusters, beware.

Some analytics regarding the number of contracts tested, number of contracts analysed etc. is collected when running this benchmark.

Checkout out our contribution guide and the code structure here.