AI Analysis
Final verdict: SUSPICIOUS
The package has low individual risk factors but raises suspicion due to its newness and potential inactivity of the maintainer.
- Metadata risk is elevated due to the package being newly created.
- Maintainer activity level is questionable.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell execution patterns detected, indicating no direct command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is newly created and the maintainer seems to be inactive or new, raising some suspicion.
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: allfly.io
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Allfly" 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 af-db-session
Your task is to create a simple yet functional mini-application that manages a personal library of books using the Python package 'af-db-session'. This application will allow users to add new books, update existing ones, delete books from the library, and list all books in the library. Each book will have attributes such as title, author, publication year, and genre. Here are the steps to follow: 1. Set up a database configuration file where you will define your database connection settings. Use 'af-db-session' to configure a DB session factory based on these settings. 2. Create a model class that represents a book, including fields for title, author, publication year, and genre. 3. Implement functions to add a new book to the database, ensuring that each book has unique attributes. 4. Develop a function to update the details of an existing book in the database. 5. Add functionality to delete a book from the database based on its ID. 6. Finally, implement a function to list all books in the library, displaying their titles, authors, publication years, and genres. Suggested Features: - Ensure the application handles errors gracefully, such as trying to add a duplicate book or deleting a non-existent book. - Consider adding a feature to search for books by author or genre. - Optionally, enhance the application by allowing users to sort the list of books by different criteria, like publication year or author name. How 'af-db-session' is Utilized: - Use 'af-db-session' to establish a connection to your database and manage sessions efficiently. This includes configuring the session factory according to your database setup and using it to interact with your database through CRUD operations (Create, Read, Update, Delete). - Leverage the session management capabilities of 'af-db-session' to ensure transactions are managed correctly, committing changes when operations succeed and rolling back when they fail. Your goal is to create a user-friendly, efficient, and error-resilient mini-library manager that showcases the power and flexibility of 'af-db-session' in handling database sessions.