AI Analysis
The package has moderate network interaction risks and significant metadata concerns, but lacks evidence of malicious intent.
- moderate network interaction risk
- low maintainer activity and poor metadata quality
Per-check LLM notes
- Network: The observed network calls appear to be related to authentication and potentially proxy interactions, which could be legitimate depending on the package's functionality.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
- Metadata: The package shows several red flags indicating low maintainer activity and metadata quality, which could suggest potential risk.
Package Quality Overall: Low (4.4/10)
Test suite present β 8 test file(s) found
Test runner config found: pyproject.toml8 test file(s) detected (e.g. __init__.py)
Some documentation present
Detailed PyPI description (29156 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
24 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked β contributor count unavailable
Heuristic Checks
Found 3 network call pattern(s)
tokens async with httpx.AsyncClient() as client: response = await client.post(ata() async with httpx.AsyncClient() as client: response = await client.post(elf.scope async with httpx.AsyncClient() as client: response = await client.post(self.t
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
4 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully functional mini-application that integrates the 'authsome-mcp-proxy' Python package to secure access to a simple REST API. This application will serve as a bridge between users and a third-party API, adding an OAuth/OIDC authentication layer to ensure secure interactions. Hereβs a detailed breakdown of the project steps and features: 1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed along with pip. Install the 'authsome-mcp-proxy' package using pip. 2. **Configuration**: Configure the 'authsome-mcp-proxy' to connect to a chosen Identity Provider (IdP). For this example, use Keycloak as the IdP. Set up a client in Keycloak and obtain necessary credentials (client ID, secret, etc.). 3. **Proxy Implementation**: Utilize the 'authsome-mcp-proxy' to create a proxy server that intercepts requests to a third-party API. This proxy will handle OAuth/OIDC authentication before forwarding requests to the actual API endpoint. 4. **REST API Integration**: Develop a simple REST API that interacts with the proxy. This API should accept user requests, forward them through the proxy, and return responses back to the user. 5. **User Authentication**: Implement a user interface where users can log in using their credentials from the configured IdP (Keycloak). Use the 'authsome-mcp-proxy' to authenticate these credentials against the IdP. 6. **Secure Data Exchange**: Ensure all data exchanged between the user interface, the proxy, and the third-party API is encrypted. Use HTTPS and appropriate headers to maintain security. 7. **Testing**: Test the application thoroughly to ensure that it correctly handles various scenarios, including successful authentication, failed authentication attempts, and API response handling. 8. **Documentation**: Write clear documentation explaining how to set up and run the application, including configuration details and usage instructions. Suggested Features: - User-friendly login/logout process - Detailed error messages for debugging purposes - Logging of important events for monitoring and troubleshooting - Scalability options for handling multiple users and API requests This project not only demonstrates the power of 'authsome-mcp-proxy' in securing API access but also provides a practical example of integrating OAuth/OIDC in real-world applications.
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