AI Analysis
Final verdict: SAFE
The package shows low risk indicators with no network calls or shell executions detected. The metadata risk is slightly elevated due to the single package from the author, but there are no other red flags.
- No network calls detected
- No shell execution patterns
- Single package from author
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Metadata: The author has only one package, which could indicate a new or less active maintainer, but no other red flags are present.
Package Quality Overall: Medium (5.6/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
Test runner config found: pyproject.toml
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (3538 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
39 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
3 unique contributor(s) across 100 commits in kellerza/aiohttp_msalSmall but multi-author team (3–4 contributors)
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
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
Repository kellerza/aiohttp_msal appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Johann Kellerman" 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 aiohttp-msal
Create a Python-based mini-application that allows users to authenticate with their Microsoft accounts and fetch their profile information using the 'aiohttp-msal' library. This application will serve as a simple yet powerful tool for developers looking to integrate Microsoft authentication into their projects. Here are the steps and features you need to implement: 1. **Setup Project Environment**: Begin by setting up a new Python virtual environment. Install necessary packages including 'aiohttp', 'aiohttp-msal', and any other dependencies required. 2. **Configure MSAL**: Register your application on Azure AD to obtain the necessary client ID, tenant ID, and redirect URI. Configure these settings within your application. 3. **User Authentication**: Implement a function that uses 'aiohttp-msal' to initiate the OAuth2 authorization flow with Microsoft. This should handle the redirection to the Microsoft login page, receiving the authorization code, and exchanging it for an access token. 4. **Fetch User Profile**: With the access token obtained, make an API call to the Microsoft Graph API to retrieve user profile details such as name, email, and profile picture. 5. **Display Results**: Finally, display the fetched user profile information in a structured format, possibly using a simple HTML template served via aiohttp. 6. **Additional Features**: - Add error handling for common issues like invalid credentials or network errors. - Implement a feature to refresh tokens automatically when they expire. - Allow users to sign out by revoking the current session. 7. **Documentation**: Provide clear documentation on how to run the application, including setting up the environment, configuring MSAL, and running the server locally. This project aims to demonstrate the ease of integrating Microsoft authentication into web applications using Python and 'aiohttp-msal'. It serves as a practical example for developers interested in leveraging Microsoft services.
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