AI Analysis
Final verdict: SUSPICIOUS
The package has low risks associated with network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to low maintainer activity and poor metadata quality, which raises some suspicion.
- Metadata quality and maintainer activity are questionable.
- No significant security risks detected apart from metadata concerns.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising suspicion but not conclusive evidence of malice.
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 6.0
3 maintainer concern(s) found
Author 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)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with agentity-auth
Create a web-based mini-application that allows users to log in using their Google, GitHub, Apple, or Microsoft accounts via OIDC (OpenID Connect). This application will serve as a simple dashboard where users can manage their preferences and view account information once authenticated. Here’s a detailed step-by-step guide on how to build this application: 1. **Setup Your Environment**: Begin by setting up your development environment. Ensure you have Python installed along with a virtual environment. Install Flask for the backend and any frontend framework of your choice (e.g., React, Vue.js, or plain HTML/CSS/JS). 2. **Integrate agentity-auth**: Use the `agentity-auth` package to handle user authentication. Configure the package to work with Google, GitHub, Apple, and Microsoft by providing the necessary client IDs and secrets from each platform. 3. **User Authentication**: Implement a login feature that redirects users to the respective provider’s authentication page when they click on the corresponding social media button. After successful authentication, redirect the user back to your app and use `agentity-auth` to validate the token received. 4. **Dashboard Features**: Once logged in, users should be redirected to a personalized dashboard where they can: - View their profile information (name, email, picture) - Change their password (even though it's not directly related to the social login, it’s a good practice) - Update their notification preferences 5. **Security Measures**: Ensure that all communication between the client and server is secure by using HTTPS. Additionally, implement session management to keep users logged in across different pages. 6. **Testing and Deployment**: Test your application thoroughly to ensure all functionalities work as expected. Deploy your application to a cloud service like Heroku or AWS, ensuring you configure the necessary environment variables for production. 7. **Documentation**: Write comprehensive documentation explaining how to set up and use the application. Include details on how to integrate `agentity-auth` and any other dependencies. By following these steps, you’ll create a fully functional mini-application that leverages the power of `agentity-auth` to provide a seamless and secure login experience for users.