AI Analysis
Final verdict: SAFE
The package shows low risk indicators with no network calls, obfuscation, or credential harvesting. The subprocess execution could be legitimate, but without further evidence of malicious behavior, it's deemed safe.
- Low network risk
- No obfuscation detected
- No credential risk
- Subprocess execution present but not suspicious
Per-check LLM notes
- Network: No network calls detected, which is normal and expected.
- Shell: Subprocess execution detected, which could indicate legitimate functionality but also potential risks like executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
- Metadata: The maintainer has only one package, which might indicate a new or less active account.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
EGION 0 -id " + str(WID) os.system(c) def GlobalBlur(HWND,hexColor=False,Acrylic=False,Darhandling result = subprocess.run( [str(designer_exe)], cwd=o) else: subprocess.run([str(designer_exe)], cwd=os.getcwd(), env=env) import sys imes directory result = subprocess.run([sys.executable, "-m", "site", "--user-site"],n script...") subprocess.run([sys.executable, plugins_path]) print_succesm() == "Windows": subprocess.Popen(command, creationflags=subprocess.CREATE_NEW_PROCESS_GROUP)
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: gmail.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository SpinnCompany/QT-PyQt-PySide-Custom-Widgets appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Khamisi Kibet" 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 QT-PyQt-PySide-Custom-Widgets
Create a fully-functional desktop application using Python with the 'QT-PyQt-PySide-Custom-Widgets' package. This application will serve as a personal task manager, allowing users to add, edit, delete, and categorize tasks. Additionally, it should include a feature to set reminders for tasks via notifications. The application must utilize the package's custom widgets, animations, and UI components to enhance user experience. Steps to develop the application: 1. Set up the project environment including the necessary dependencies like PySide2 or PyQt5 and the 'QT-PyQt-PySide-Custom-Widgets' package. 2. Design the main window layout, incorporating the package's custom widgets such as a sleek task input field, task list view, and category selection buttons. 3. Implement functionality to add new tasks through the input field, ensuring the use of the package's custom animation effects when adding or removing tasks. 4. Allow editing and deletion of existing tasks, again utilizing the package's custom widgets and animations for these actions. 5. Integrate a category system where tasks can be assigned different categories (e.g., Work, Personal, Study). Use the package's UI components to create an appealing and intuitive interface for managing these categories. 6. Add a reminder system that sends desktop notifications for upcoming tasks. Utilize the package's widgets to display these notifications in a visually appealing way. 7. Ensure the application saves user data persistently, possibly using SQLite for storing tasks and their associated metadata. 8. Test the application thoroughly to ensure all functionalities work as expected, and the user interface is responsive and user-friendly. 9. Document the code and provide instructions on how to install and run the application.