Friday, 21 April 2017
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PyT- Python Taint: Static Analysis of Python Web Applications Security Software


PyT - Python Taint Static Analysis of Python Web Applications Security Software


For 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

Install

  • git clone https://github.com/python-security/pyt.git
  • python setup.py install
  • 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

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)

Download PyT

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