hunslater / pyt

A Static Analysis Tool for Detecting Security Vulnerabilities in Python Web Applications

Python Taint

Static analysis of Python web applications based on theoretical foundations (Control flow graphs, fixed point, dataflow analysis)

Features

• Detect Command injection
• Detect SQL injection
• Detect XSS
• Detect directory traversal
• Get a control flow graph
• Get a def-use and/or a use-def chain
• Search GitHub and analyse hits with PyT
• Scan intraprocedural or interprocedural
• A lot of customisation possible

Example usage and output:

Install

1. git clone https://github.com/python-security/pyt.git
2. python setup.py install
3. pyt -h

Usage from Source

Using it like a user python -m pyt -f example/vulnerable_code/XSS_call.py save -du

Running the tests python -m tests

Running an individual test file python -m unittest tests.import_test

Running an individual test python -m unittest tests.import_test.ImportTest.test_import

Contributions

Join our slack group: https://pyt-dev.slack.com/ - ask for invite: [e-mail]

Guidelines

Virtual env setup guide

Create a directory to hold the virtual env and project

mkdir ~/a_folder

cd ~/a_folder

Clone the project into the directory

git clone https://github.com/python-security/pyt.git

Create the virtual environment

python3 -m venv ~/a_folder/

Check that you have the right versions

python --version sample output Python 3.6.0

pip --version sample output pip 9.0.1 from /Users/kevinhock/a_folder/lib/python3.6/site-packages (python 3.6)

Change to project directory

cd pyt

Install dependencies

pip install -r requirements.txt

pip list sample output :

gitdb (0.6.4)
GitPython (2.0.8)
graphviz (0.4.10)
pip (9.0.1)
requests (2.10.0)
setuptools (28.8.0)
smmap (0.9.0)

In the future, just type source ~/a_folder/bin/activate to start developing.