AI Analysis
Final verdict: SAFE
The package Kingprint v1.0.4 appears to be safe with very low risks across all categories except for metadata, where there is some concern due to the maintainer's limited presence.
- No network calls or shell executions detected.
- Maintainer has only one package and no associated GitHub repository.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- 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 no GitHub repository, which may 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
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 2.0
1 maintainer concern(s) found
Author "Max" 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 Kingprint
Create a Python-based console application called 'KingLogger' that leverages the 'Kingprint' library to enhance logging capabilities in a more visually appealing and functional manner. This application should serve as a robust tool for developers to monitor and debug their code efficiently. Here are the key steps and features to implement: 1. **Setup**: Begin by installing the 'Kingprint' library using pip. Ensure your environment is set up correctly for Python development. 2. **Application Structure**: Design a modular structure where the main functionality is separated into different classes and functions. This will include a Logger class that interacts with Kingprint for printing messages. 3. **Logging Levels**: Implement different logging levels similar to standard logging modules (DEBUG, INFO, WARNING, ERROR, CRITICAL). Each level should utilize Kingprint's enhanced print function with distinct visual styles (colors, emojis, etc.) to make it easier to distinguish between them. 4. **Customization Options**: Allow users to customize the appearance of logs by changing colors, adding emojis, or even customizing the format string passed to Kingprint. This should be configurable via command-line arguments or a configuration file. 5. **Integration Example**: Include a simple example script that demonstrates how to use KingLogger in a real-world scenario. For instance, create a small web scraper that logs its progress using KingLogger at various stages (start, page load, data extraction, error handling). 6. **Error Handling**: Enhance the application's robustness by implementing error handling mechanisms. When errors occur, use Kingprint to log these errors in a way that stands out and provides clear information about what went wrong. 7. **Testing**: Write unit tests to ensure each part of the application works as expected. Focus on testing the interaction with Kingprint and the customization options. 8. **Documentation**: Provide comprehensive documentation detailing how to install and use KingLogger, including examples and explanations of all available features. 9. **Deployment**: Package the application so it can be easily installed and run on other systems. Consider uploading it to PyPI or a similar platform for wider distribution. Throughout the development process, emphasize the use of Kingprint's unique features to improve the user experience and provide valuable insights into the application's behavior.