PyQtWebEngine-Qt5

v5.15.19 safe
2.0
Low Risk

The subset of a Qt installation needed by PyQtWebEngine.

⚠ Tarball exceeded 25 MB — source code analysis was limited to package metadata only.

🤖 AI Analysis

Final verdict: SAFE

The PyQtWebEngine-Qt5 package presents a very low risk profile with no detected network calls, shell executions, or obfuscations. The only notable concern is the metadata quality, which warrants further investigation but does not indicate malicious intent.

  • No network calls detected.
  • No shell execution patterns.
  • Low obfuscation risk.
Per-check LLM notes
  • Network: No network calls detected, which is normal as PyQtWebEngine-Qt5 is a GUI library and typically does not require external network communications.
  • Shell: No shell execution patterns detected, which is expected as the package is intended for creating graphical user interfaces and does not inherently involve system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Low risk but requires further investigation due to lack of GitHub repository and low metadata quality.

🔬 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 PyQtWebEngine-Qt5
Create a desktop application using Python that integrates web content into a native GUI, utilizing the PyQtWebEngine-Qt5 package. This application will serve as a simple web browser with additional functionalities tailored towards efficient web browsing and content management. The goal is to demonstrate the integration of web technologies within a desktop environment while providing a user-friendly interface.

### Features:
1. **Basic Web Browser Functionality:** Users should be able to navigate to different URLs, browse web pages, and interact with web content as they would with any standard web browser.
2. **Bookmark Management:** Implement a feature where users can save their favorite websites as bookmarks. These bookmarks should be stored locally and accessible through a dedicated menu or sidebar.
3. **History Tracking:** Keep track of visited URLs and allow users to revisit previously browsed sites from a history tab.
4. **Customizable Interface:** Provide options to customize the appearance of the browser, such as changing the theme, font size, and layout.
5. **Privacy Settings:** Include basic privacy settings such as clearing browsing data (cookies, cache) and enabling/disabling JavaScript execution.
6. **Download Manager:** Integrate a download manager that allows users to manage files being downloaded from the internet directly from the browser.
7. **Extension Support (Optional):** Consider adding support for extensions or plugins that can enhance the browser’s functionality (e.g., ad-blockers, password managers).

### Utilizing PyQtWebEngine-Qt5:
- Use `QWebEngineView` to display web content within your application. This class is essential for embedding a full-featured web browser engine into your GUI.
- Implement `QWebEngineProfile` to manage the storage of cookies and other site data.
- Leverage `QWebChannel` to enable communication between JavaScript running in the web page and Python code running in your application.
- For bookmark and history management, utilize SQLite database to store and retrieve user data efficiently.
- Customize the appearance of your application using `QSS` (Qt Style Sheets) and `QSettings` to persist user preferences.
- Use `QNetworkAccessManager` to handle network requests and downloads.

### Steps to Develop:
1. Set up your development environment with Python and install PyQtWebEngine-Qt5.
2. Design the UI layout using Qt Designer or programmatically in Python.
3. Implement core web browsing functionalities using `QWebEngineView`.
4. Add bookmark and history management features.
5. Incorporate customization options and privacy settings.
6. Integrate a download manager.
7. Test the application thoroughly to ensure all features work as expected.
8. Package the application for distribution.

This project not only showcases the capabilities of PyQtWebEngine-Qt5 but also provides a practical tool for everyday use.