apron-auth

v0.6.1 suspicious
5.0
Medium Risk

Stateless OAuth 2.0 protocol library with PKCE, token refresh, and provider-specific revocation.

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package has moderate network and metadata risks, indicating potential issues with maintenance and quality. However, there's no evidence of malicious activity or shell execution.

  • moderate metadata risk due to low maintainer activity
  • network risk due to expected external communications
Per-check LLM notes
  • Network: Network calls are expected for authentication packages like 'apron-auth' to communicate with servers and validate tokens.
  • Shell: No shell execution patterns detected.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

πŸ“¦ Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present β€” 30 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: conftest.py
  • 30 test file(s) detected (e.g. conftest.py)
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (22928 chars)
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • 236 type-annotated function signatures detected in source
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • l, config) async with httpx.AsyncClient() as client: return await self._send(client, tok
  • s_token}"} async with httpx.AsyncClient() as client: try: response = awa
  • try: async with httpx.AsyncClient() as client: user_response = await client.ge
  • try: async with httpx.AsyncClient() as client: response = await client.get(
  • Error(msg) async with httpx.AsyncClient() as client: response = await client.post(
βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 7.5

Found 3 credential access pattern(s)

  • t or skip.""" client_id = os.environ.get("SLACK_CLIENT_ID", "") client_secret = os.environ.get("SLACK_CL
  • _ID", "") client_secret = os.environ.get("SLACK_CLIENT_SECRET", "") refresh_token = os.environ.get("SLAC
  • RET", "") refresh_token = os.environ.get("SLACK_REFRESH_TOKEN", "") if not all([client_id, client_secret
βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

No author email provided

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with apron-auth
Create a mini-application that serves as a simple OAuth 2.0 client for authenticating users against a third-party service like GitHub or Google using the 'apron-auth' package. This application will demonstrate the following functionalities:

1. User registration with the third-party service through OAuth 2.0 with Proof Key for Code Exchange (PKCE).
2. Token refresh mechanism to ensure continuous access to the user's data without requiring them to log in repeatedly.
3. A method to revoke the access token if the user decides to log out.

The application should be designed with simplicity in mind, focusing on showcasing the capabilities of the 'apron-auth' package. Here’s how you can approach building it:

Step 1: Set up the development environment
- Install Python and set up a virtual environment.
- Install the necessary packages including 'apron-auth'.

Step 2: Configure the application
- Register your application on the OAuth 2.0 provider (GitHub or Google) to obtain client IDs and secrets.
- Store these credentials securely within your application.

Step 3: Implement OAuth 2.0 authentication flow
- Use 'apron-auth' to initiate the authorization request and handle the callback from the OAuth provider.
- Ensure that PKCE is implemented correctly to secure the authorization process.

Step 4: Handle tokens
- Upon successful authentication, store the access token securely.
- Implement a background task to periodically refresh the access token using 'apron-auth'’s refresh token feature.

Step 5: Implement logout functionality
- When a user logs out, use 'apron-auth' to revoke the access token according to the provider’s specifications.

Optional Features:
- Add a UI layer using a framework like Flask or Django to make the application more interactive.
- Integrate the application with a database to store user information securely.
- Include error handling and logging mechanisms to improve reliability and debugging.

Your goal is to create a fully functional mini-application that demonstrates the power and flexibility of the 'apron-auth' package in managing OAuth 2.0 flows efficiently.

πŸ’¬ Discussion Feed

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