Scan Python Code For Risky Security Patterns With Bandit Before Review Or Release

---
name: "Scan Python code for risky security patterns with Bandit before review or release"
slug: "scan-python-code-for-risky-security-patterns-with-bandit-before-review-or-release"
description: "Catch insecure Python calls, weak crypto usage, shell injection risks, and similar patterns before merge or release."
github_stars: 7933
verification: "security_reviewed"
source: "https://github.com/PyCQA/bandit"
author: "PyCQA"
publisher_type: "organization"
category: "Security & Verification"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "PyCQA/bandit"
  github_stars: 7933
---

# Scan Python code for risky security patterns with Bandit before review or release

Catch insecure Python calls, weak crypto usage, shell injection risks, and similar patterns before merge or release.

## Prerequisites

Bandit CLI, Python source tree

## Installation

Use the upstream install or setup path that matches your environment:
- docker pull ghcr.io/pycqa/bandit/bandit
- docker pull --platform=<architecture> ghcr.io/pycqa/bandit/bandit:latest

Requirements and caveats from upstream:
- :alt: Python Versions
- Bandit is a tool designed to find common security issues in Python code. To do
- Python AST module documentation: https://docs.python.org/3/library/ast.html

Basic usage or getting-started notes:
- :alt: Bandit Example Screen Shot

- Source: https://github.com/PyCQA/bandit
- Extracted from upstream docs: https://raw.githubusercontent.com/PyCQA/bandit/HEAD/README.rst

## Documentation

- https://bandit.readthedocs.io/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/scan-python-code-for-risky-security-patterns-with-bandit-before-review-or-release/)