AI Analysis
The package has a moderate risk score due to potential network communication for external services and the lack of credible maintainer history and repository.
- Non-existent git repository
- Suspicious maintainer's lack of history
Per-check LLM notes
- Network: Network calls indicate the package may be designed to communicate with external services for authentication purposes.
- Shell: No shell execution patterns detected, indicating no immediate risk from this aspect.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
- Metadata: The package is suspicious due to the non-existent git repository and the maintainer's lack of history.
Package Quality Overall: Medium (5.2/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (3174 chars)
Has contribution guidelines and governance files
Governance file: security.pyDevelopment Status classifier >= Beta
Partial type annotation coverage
45 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 3 network call pattern(s)
ruser, } with httpx.Client(timeout=self._timeout) as client: response = cli-> IdentityData: with httpx.Client(timeout=self._timeout) as client: response = clid: str) -> None: with httpx.Client(timeout=self._timeout) as client: response = cli
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
2 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor "CodeFleet Labs" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application named 'SocialLoginDemo' that integrates user authentication via OpenID Connect (OIDC) using the 'authx-identity' package. This application will serve as a simple social login demo where users can log in through various social platforms such as Google, Facebook, and GitHub. Here are the steps and features to implement: 1. **Setup Environment**: Ensure your development environment supports Python 3.8+. Install Django and the 'authx-identity' package. 2. **Project Initialization**: Initialize a new Django project named 'SocialLoginDemo'. Within this project, create a Django app named 'social_login'. 3. **Configuration of 'authx-identity'**: Configure the 'authx-identity' package within your Django settings. Define the supported providers (Google, Facebook, GitHub) and their respective client IDs and secrets. 4. **User Model Integration**: Integrate 'authx-identity' into Djangoβs user model to handle user sessions and authentication flows. 5. **Views & Templates**: Develop views and templates for handling login/signup processes. Users should be able to initiate the login flow from these views, which then redirect them to the provider's authentication page. 6. **Callback Handling**: Implement callback handlers that receive the authenticated response from the provider. Use 'authx-identity' to process the token and retrieve user information. 7. **Profile Page**: Create a profile page accessible only to logged-in users. This page should display basic user info retrieved from the OIDC provider. 8. **Logging Out**: Implement functionality to allow users to log out. Ensure that logging out also logs the user out from the OIDC provider if possible. 9. **Security Measures**: Add security measures such as CSRF protection and ensure all data transmitted between the server and client is over HTTPS. 10. **Testing**: Test the application thoroughly, ensuring that all features work as expected and that there are no security vulnerabilities. Use the 'authx-identity' package extensively throughout this project, especially during the setup of OIDC providers, handling authentication requests, and managing user sessions. Document each step of the implementation process and include comments in your code explaining how 'authx-identity' functions are utilized.
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