xssmap VS bandit

Let's take a look at an example. We assume that we want to create an environment to automate several tools, including xira. The contents of the directory holding our scripts:

# .pre-commit-config.yaml - repo: https://github.com/zricethezav/gitleaks rev: v8.18.0 hooks: - id: gitleaks # catches accidental secret commits - repo: https://github.com/PyCQA/bandit rev: 1.7.5 hooks: - id: bandit # catches common Python security antipatterns

For Python teams with security requirements, the practical recommendation is to add Bandit (free, runs in seconds on pre-commit) for Python-specific SAST patterns and Semgrep for cross-file taint tracking. Neither mypy nor Sourcery replaces purpose-built security scanning for teams where security is a priority.

# Install using pip pip install bandit # Or install from source git clone https://github.com/PyCQA/bandit.git cd bandit pip install .

Static Analysis: Tools like Bandit or SonarQube to catch code-level issues.

Bandit Documentation: https://bandit.readthedocs.io OWASP Source Code Analysis Tools: https://owasp.org/www-community/Source_Code_Analysis_Tools Python Security Best Practices: https://docs.python.org/3/library/security.html GitHub Actions: https://docs.github.com/en/actions

#.pre-commit-config.yaml repos: - repo: https://github.com/PyCQA/bandit rev: 1.7.5 hooks: - id: bandit args: ['-ll', '-ii']

Lua supports most of this primarily through community packages. luarocks is the Lua package manager. Lua does not ship with a unit testing framework by default, but the community seems to have selected luaunit as the defacto testing library. LSP and linting support is provided through the lua-language-server and code formatting is handled through stylua. However, I can't find tooling similar to Python's bandit to perform security audits. I believe this to be an open area of Lua library development.

Bandit is a tool designed to find common security issues in Python code. It was developed by the OpenStack Security Project and is a great addition to any serious Python project.

For the SAST stage, I used SonarQube tool. SonarQube is an open-source platform developed by SonarSource for continuous inspection of code quality to perform automatic reviews with static analysis of code to detect bugs and code smells on more than 30 programming languages. I preferred SonarQube instead of other SAST tools because it has a detailed documentation and plugins about integration with Jenkins and SonarQube works with Java projects pretty well. Of course you can similar multi-language-supported tools such as Semgrep or language-specific tools such as Bandit.