PyCQA / PyCQA/bandit

Taint tracking

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enhancement
Dominant language
Python
Stars
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Forks
835
Avg merge
5d 3h
Merged PRs (30d)
1

Description

Transfer of OpenStack blueprint:
https://blueprints.launchpad.net/bandit/+spec/taint-tracking

Perform static taint tracking. At first this would be within a function. Make a best effort to detect when input is being cleaned before being passed to dangerous functions. Detect when input is not being cleaned before being passed to dangerous functions.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading the linked Launchpad blueprint for the intended taint-tracking scope. Then identify Bandit’s relevant analysis entry points; done means detecting, within a function, whether input is cleaned before it reaches dangerous functions, including reporting uncleaned flows.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
security
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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