🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious behavior but the low activity level and incomplete metadata from the maintainer raise some concerns about its legitimacy.

No network calls or shell executions detected
Maintainer has only one package and lacks PyPI classifiers

Per-check LLM notes

Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; could be due to the package's functionality or lack thereof.
Shell: No shell execution patterns detected, reducing the likelihood of immediate risk from command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package and lacks PyPI classifiers, indicating potential low effort or inexperience which could suggest risk.

🔬 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 PyQtNetworkAuth-Qt5

Create a secure file-sharing application using PyQtNetworkAuth-Qt5 that allows users to upload files to a server and download files from it. This application should have a user-friendly interface built with PyQt5, ensuring that all network communication is secured through the functionalities provided by PyQtNetworkAuth-Qt5. Here’s a detailed breakdown of the application’s requirements:

1. **User Authentication**: Implement a login system where users can sign up and log in. Use PyQtNetworkAuth-Qt5 to handle the secure transmission of authentication data over the network.
2. **File Upload**: Users should be able to select files from their local machine and upload them to a server. Ensure that the files are securely transmitted using the PyQtNetworkAuth-Qt5 library.
3. **File Download**: Provide functionality for downloading files from the server. Again, ensure that the download process is secure and uses PyQtNetworkAuth-Qt5 for network security.
4. **File Management**: Include options for listing all uploaded files and deleting them if necessary. Make sure these operations are also performed securely.
5. **Progress Indicators**: Display progress bars for both uploading and downloading processes to inform users about the status of their operations.
6. **Error Handling**: Implement robust error handling to manage issues such as network failures, incorrect file paths, or authentication errors.
7. **Security Features**: Utilize PyQtNetworkAuth-Qt5 to enhance security measures, such as encrypting data during transmission and managing secure connections.

The application should be designed with a modern and intuitive UI, making use of PyQt5 widgets and layouts. Ensure that all interactions with the server are handled asynchronously to prevent the application from freezing during long operations. Additionally, include documentation on how to set up the server-side infrastructure required for this application to function.