anzar

v0.5.7 suspicious
4.0
Medium Risk

Anzar is a lightweight authentication and authorization framework that runs as a separate microservice

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some signs of potential risk, particularly due to the lack of associated metadata such as a GitHub repository and the maintainer having only one package.

  • Low metadata integrity
  • Single-package maintainer
Per-check LLM notes
  • Network: The observed network calls appear to be part of authentication and key fetching processes, which could be legitimate depending on the package's functionality.
  • Shell: No shell execution patterns were detected.
  • Metadata: The maintainer has only one package and no associated GitHub repository, which may indicate a less experienced or potentially suspicious actor.

📦 Package Quality Overall: Low (3.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://anzar_software.gitlab.io/docs
  • Detailed PyPI description (4717 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 20 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • FAULT_OPTIONS): api = httpx.AsyncClient(base_url=options.url) if options.auth == "jwt":
  • jwks.json" resp = httpx.get(jwks_uri, timeout=10) resp.raise_for_status()
  • "}), 401) response = httpx.get(f"{self.url}/auth/session", headers={"Cookie": cookie})
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Hakou Guelfen" 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 anzar 
Your task is to develop a fully functional mini-application called 'SecureNotes' using Python, which will leverage the 'anzar' package for handling user authentication and authorization. This application will allow users to create accounts, log in, and manage their personal notes securely. Here are the steps and features you need to implement:

1. **Setup Environment**: Ensure your development environment includes Python and the 'anzar' package. You might also need to set up a database and other dependencies.
2. **User Authentication**: Utilize 'anzar' to handle user registration and login functionalities. Users should be able to sign up with unique usernames and secure passwords, and then log in to access their account.
3. **Note Management**: Once logged in, users should be able to create, read, update, and delete their personal notes. Each note should be associated with the user who created it.
4. **Authorization**: Implement role-based access control using 'anzar'. Define roles like 'user' and 'admin', where 'admin' can view all notes but 'user' can only see their own notes.
5. **Security Enhancements**: Integrate security measures such as password hashing, token-based authentication, and data encryption to ensure the application's robustness.
6. **User Interface**: Develop a simple yet intuitive user interface using Flask or Django, where users can interact with the application seamlessly.
7. **Testing and Deployment**: Conduct thorough testing of the application, including unit tests for backend logic and integration tests for the frontend. Deploy the application on a cloud platform like AWS or Heroku.

Suggested Features:
- User-friendly signup and login forms
- Real-time note creation and editing
- Search functionality within notes
- Ability to categorize notes
- Admin dashboard for managing users and notes

How 'anzar' Package is Utilized:
- For user registration and login processes
- To manage user sessions and tokens
- For defining and enforcing role-based permissions across different parts of the application

Your goal is to create a secure, efficient, and user-friendly application that demonstrates the power and flexibility of the 'anzar' package in real-world scenarios.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!