🤖 AI Analysis

Final verdict: SAFE

The package has a low risk score with no indications of malicious activities such as network calls, shell executions, or credential harvesting. The metadata risk is slightly elevated but does not suggest a supply-chain attack.

No network calls detected.
No shell execution patterns found.

Per-check LLM notes

Network: No network calls detected, which is normal for most PyQt-based packages.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
Metadata: The package shows some signs of low effort and possibly new maintainer activity, but lacks clear indicators of malicious intent.

🔬 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: riverbankcomputing.com

✓ 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

Author "Riverbank Computing Limited" 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 PyQtPurchasing-Qt5

Create a desktop application using Python and PyQtPurchasing-Qt5 that allows users to purchase digital products such as e-books, music albums, and software licenses directly within the app. This application should have the following functionalities:

1. User Authentication: Implement a secure login system where users can sign up or log in using their email and password.
2. Product Catalog: Display a catalog of available digital products, including details such as product name, description, price, and images.
3. Shopping Cart: Allow users to add products to a shopping cart and view the total cost before making a purchase.
4. Payment Gateway Integration: Integrate a payment gateway like Stripe or PayPal to handle transactions securely. Ensure that the payment process is seamless and user-friendly.
5. Order Confirmation: After successful payment, provide users with an order confirmation screen that includes the details of their purchase.
6. Download Links: Once payment is confirmed, display download links for the purchased items.
7. Admin Panel: Develop an admin panel where administrators can manage products, view sales reports, and manage user accounts.
8. User Dashboard: Create a dashboard for each user where they can view their purchase history, manage their account settings, and access previously purchased items.

Use PyQtPurchasing-Qt5 to handle the purchasing functionality, ensuring that the purchasing experience is smooth and integrated into the overall UI design. The application should be designed with a modern, clean interface and responsive to various window sizes.