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

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

Static analysis of Python web applications based on theoretical foundations (Control flow graphs, fixed point, data flow 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
• A lot of customisation possible

Example usage and output:

Install

1. git clone https://github.com/python-security/pyt.git
2. cd pyt/
3. python3 setup.py install
4. pyt -h

Usage from Source

Using it like a user python3 -m pyt -f example/vulnerable_code/XSS_call.py save -du

Running the tests python3 -m tests

Running an individual test file python3 -m unittest tests.import_test

Running an individual test python3 -m unittest tests.import_test.ImportTest.test_import

Contributions

Join our slack group: 
https://pyt-dev.slack.com/ - ask for invite: mr.thalmann@gmail.com

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.

Download Python Taint

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