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

• Detect command injection, SSRF, SQL injection, XSS, directory traveral etc.
• A lot of customisation possible

For a look at recent changes, please see the changelog.

Example usage and output:

pip install python-taint

PyT can also be installed from source. To do so, clone the repo, and then run:

python3 setup.py install

usage: python -m pyt [-h] [-f FILEPATH] [-a ADAPTOR] [-pr PROJECT_ROOT]
                     [-b BASELINE_JSON_FILE] [-j] [-m BLACKBOX_MAPPING_FILE]
                     [-t TRIGGER_WORD_FILE] [-o OUTPUT_FILE] [-trim] [-i]

required arguments:
  -f FILEPATH, --filepath FILEPATH
                        Path to the file that should be analysed.

optional arguments:
  -a ADAPTOR, --adaptor ADAPTOR
                        Choose a web framework adaptor: Flask(Default),
                        Django, Every or Pylons
  -pr PROJECT_ROOT, --project-root PROJECT_ROOT
                        Add project root, only important when the entry file
                        is not at the root of the project.
  -b BASELINE_JSON_FILE, --baseline BASELINE_JSON_FILE
                        Path of a baseline report to compare against (only
                        JSON-formatted files are accepted)
  -j, --json            Prints JSON instead of report.
  -m BLACKBOX_MAPPING_FILE, --blackbox-mapping-file BLACKBOX_MAPPING_FILE
                        Input blackbox mapping file.
  -t TRIGGER_WORD_FILE, --trigger-word-file TRIGGER_WORD_FILE
                        Input file with a list of sources and sinks
  -o OUTPUT_FILE, --output OUTPUT_FILE
                        write report to filename
  --ignore-nosec        do not skip lines with # nosec comments

print arguments:
  -trim, --trim-reassigned-in
                        Trims the reassigned list to just the vulnerability
                        chain.
  -i, --interactive     Will ask you about each blackbox function call in
                        vulnerability chains.

Soon you will find a README.rst in every directory in the pyt folder, start here.

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

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

Guidelines

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

python3 --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.