AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low risk in terms of network usage, shell execution, and code obfuscation. However, the metadata risk score is elevated due to the maintainer's limited history with PyPI, making it suspicious but not conclusive evidence of malicious intent.
- Low risk in network calls, shell execution, and code obfuscation.
- Maintainer has only one package, raising some suspicion.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
- Shell: No shell execution detected, indicating the package does not execute system commands, reducing potential risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The maintainer has only one package, which may indicate a new or less active user, raising some suspicion but not conclusive evidence of malice.
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: proton.me>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Eutropios/WarMAC appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Noah Jenner" 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 WarMAC
Create a comprehensive trading tool for Warframe players using the 'WarMAC' package. This tool will help players calculate the average platinum price of tradeable items, making it easier for them to decide whether to buy or sell items within the game. Your task is to develop a command-line interface (CLI) application in Python that integrates seamlessly with the 'WarMAC' package. Here’s a step-by-step guide on how to approach this project: 1. **Setup**: Begin by installing the necessary packages, including 'WarMAC'. Ensure your development environment is set up correctly. 2. **Core Functionality**: Implement the main feature of calculating the average platinum price for any given item using 'WarMAC'. The user should be able to input an item name and receive the average price as output. 3. **Item Lookup**: Add functionality to search for items by name. If the user inputs an item that doesn't exist, the application should inform them and provide suggestions if possible. 4. **History Feature**: Incorporate a history feature where users can view their past queries. This could be stored locally or in a simple database. 5. **Currency Conversion**: Extend the functionality to include currency conversion rates if the game introduces different currencies in the future. 6. **User Interface**: Design a clean and intuitive CLI interface that guides users through the process of querying item prices. 7. **Error Handling**: Implement robust error handling to manage cases such as network issues or invalid inputs gracefully. 8. **Documentation**: Write clear documentation on how to use the application and contribute to its development. 9. **Testing**: Develop test cases to ensure the reliability and accuracy of the application. 10. **Deployment**: Consider how the application will be deployed and made accessible to other players. By following these steps, you'll create a valuable tool for the Warframe community, leveraging the capabilities of the 'WarMAC' package to enhance trading experiences.