AI Analysis
Final verdict: SUSPICIOUS
The package has low risks for network calls, shell execution, and obfuscation. However, it lacks maintainer history and a GitHub repository, raising concerns about its legitimacy.
- Lack of maintainer history
- Absence of a GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, reducing the risk of arbitrary code execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some red flags such as lack of maintainer history and absence of a GitHub repository, but there's no concrete evidence 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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 DiyUI
Create a simple yet engaging weather forecast app using the DiyUI Python package. This app will fetch weather data from a public API, display it in a user-friendly manner, and allow users to search for weather information of different cities. The app should have a clean, modern design with real-time updates every hour. Here’s a step-by-step guide on how to build this application: 1. **Setup Environment**: Begin by setting up your Python environment. Install the DiyUI package and any other necessary dependencies like requests for making HTTP requests. 2. **API Integration**: Integrate a free weather API (such as OpenWeatherMap) to fetch current weather data. Ensure you handle API keys securely. 3. **User Interface Design**: Use DiyUI to design the layout of the app. Create components such as input fields for city names, buttons for fetching weather data, and panels for displaying temperature, humidity, wind speed, etc. 4. **Real-Time Updates**: Implement functionality to automatically refresh the weather data every hour without requiring user interaction. 5. **Error Handling**: Add error handling mechanisms to gracefully manage cases where the API request fails or when invalid city names are entered. 6. **Styling**: Utilize DiyUI’s styling capabilities to make the app visually appealing. Consider adding animations or transitions between states. 7. **Testing**: Thoroughly test the app under various scenarios to ensure reliability and responsiveness. 8. **Documentation**: Write clear documentation explaining how to run the app, its functionalities, and how DiyUI was utilized. By following these steps, you’ll create a practical and educational example of how to use DiyUI for developing interactive web applications.