abstract-modules

v0.0.3.98 suspicious
6.0
Medium Risk

abstract_modules allows you to easily upload your Python module to the Python Package Index (PyPI) using Twine. It automates several steps of the packaging and distribution process, making it easier to share your module with the Python community..

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation and unusual shell execution activities, raising concerns about its true purpose. Additionally, the lack of a known repository and the maintainer having only one package contribute to a higher level of suspicion.

  • Potential code obfuscation through the use of literal eval
  • Unusual shell execution activities that could be part of a malicious intent
Per-check LLM notes
  • Network: The network calls appear to be fetching metadata from PyPI, which is normal for package operations.
  • Shell: The shell executions include building and uploading packages, which could be part of the package's development workflow but may pose risks if not properly controlled.
  • Obfuscation: The use of literal eval might indicate an attempt to obfuscate code, but it could also be used legitimately for parsing structured data.
  • Credentials: No clear patterns indicative of credential harvesting were found.
  • Metadata: The repository is not found and the maintainer has only one package, which may indicate a less experienced or potentially suspicious actor.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • " try: response = requests.get(url) response.raise_for_status() # Raise an excepti
  • " try: response = requests.get(f"https://pypi.org/pypi/{package_name}/json") if res
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • # Try Python literal eval (safe-ish for well-formed dicts) return ast.liter
⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • """ try: output = subprocess.check_output( ["python3", "setup.py", "--name"], universal_ne
  • package.""" try: subprocess.run(["python3", "-m", "build", "--sdist", "--wheel"], check=True
  • to PyPI.""" try: subprocess.run(["python3", "-m", "twine", "upload", "dist/*", "--skip-exist
  • """ try: output = subprocess.check_output( ["pip", "show", package_name], universal_newlin
  • aliases are available subprocess.run( ["bash", "-i", "-c", f"pipit {package_name} --u
  • aliases are available subprocess.run( ["bash", "-i", "-c", f"pipit {package_name}=={n
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: abstractendeavors.com

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "putkoff" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with abstract-modules 
Create a Python-based mini-application named 'ModuleMaven' that simplifies the process of preparing, testing, and uploading Python modules to PyPI. The app should leverage the 'abstract-modules' package to streamline the packaging and distribution process. Here’s a detailed breakdown of the application’s requirements and features:

1. **Project Setup**: Users should be able to initialize a new Python module project within ModuleMaven. This includes setting up the necessary directory structure, including a `setup.py` file, and basic metadata such as name, version, author, etc.
2. **Configuration Management**: Integrate a configuration system that allows users to customize settings like package name, version, description, dependencies, and classifiers. This configuration should be stored in a `.mavendotcfg` file within the project directory.
3. **Testing Integration**: Provide an interface to run tests on the Python module before packaging. Support popular test frameworks like unittest, pytest, and nose. Ensure that the application checks if all tests pass before proceeding with the packaging process.
4. **Packaging Automation**: Use 'abstract-modules' to automate the creation of source distributions and wheel distributions. The application should handle the creation of these files without requiring manual intervention.
5. **Upload Process**: Implement a secure and user-friendly interface to upload the created distributions to PyPI. Ensure that the application prompts for PyPI credentials securely and handles the upload process seamlessly.
6. **Post-Upload Notifications**: After successful upload, send notifications to the user via email or SMS about the status of the upload and provide a link to the uploaded package on PyPI.
7. **Version Control Integration**: Allow users to integrate their projects with Git or other version control systems directly from within the application. This feature should help in managing different versions of the module effectively.
8. **Documentation Generation**: Incorporate a feature that generates documentation for the module using tools like Sphinx or MkDocs. The generated documentation should be included in the distribution packages.
9. **User Interface**: Develop a simple command-line interface (CLI) for interacting with ModuleMaven. The CLI should support common commands like init, configure, test, package, and upload.
10. **Security Measures**: Ensure that sensitive information such as API keys and passwords are handled securely. Consider using environment variables or encrypted storage solutions.

By utilizing 'abstract-modules', the application aims to make the process of publishing Python modules more accessible and efficient for developers of all skill levels.