Bandit vs MobSF

Bandit is free software for finding common security issues in Python source code. It builds an abstract syntax tree from scanned files and runs plugins against that tree, then produces a report. A JSON baseline can exclude findings that a team considers non-issues. The project is distributed through PyPI and recommends installation with pip. It runs on Linux and macOS and can be used in self-hosted environments. Optional installation extras add TOML support, the bandit-baseline command-line tool, and SARIF output formatting. Documentation describes pre-commit configuration and integrations with Visual Studio Code, Sublime Text, Vim, Neovim, Emacs, GitHub Actions, Jenkins, Ruff, and Flake8. A published container image supports amd64, arm64, armv7, and armv8 architectures. The project says images are signed with Sigstore Cosign and provides source-verification instructions. Bandit is licensed under Apache License 2.0, with support links to GitHub issues and Discord.

MobSF is an open-source framework for automated mobile application security testing and penetration testing. Its static analysis examines source code and binaries for security flaws and misconfigurations before execution. Dynamic analysis runs apps in a controlled sandbox to observe runtime behavior, data flow, and API interactions, while malware analysis looks for suspicious code, permissions, and behavior. Supported inputs include Android, iOS, and Windows packages such as APK, XAPK, IPA, and APPX, plus zipped source code. REST APIs connect MobSF with CI/CD or DevSecOps pipelines; named examples include Jenkins, GitHub Actions, and GitLab CI. Reports include severity, affected files or functions, and remediation suggestions, with HTML, PDF, and JSON export options. MobSF can be installed from GitHub or with Docker, runs on Windows, Linux, or macOS, and can operate offline. The Community Edition is open source under GPL v3 and costs nothing. Dynamic analysis is limited to rooted Android versions 4.1 through 11.0, up to API 30; obfuscation and code protection can limit analysis depth.