🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct security risks but lacks critical metadata like maintainer information and a GitHub repository, raising concerns about its origin and maintenance.

Lack of maintainer information
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 patterns detected, indicating no immediate risk of command injection or similar attacks.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags due to the lack of maintainer information and a GitHub repository, but there's no clear 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

Email domain looks legitimate: gmail.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 name is missing or very short
Author "" 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 aa-market-manager

Create a comprehensive market management tool using the 'aa-market-manager' Python package. This tool will serve as a robust solution for managing markets within the AllianceAuth ecosystem, enabling users to perform various operations such as listing items, tracking sales, and analyzing market trends. Here’s a detailed breakdown of the steps and features required for your project:

1. **Setup Environment**: Begin by setting up a virtual environment and installing the 'aa-market-manager' package alongside other necessary libraries like pandas for data manipulation and matplotlib for visualization.

2. **Market Data Retrieval**: Utilize 'aa-market-manager' to fetch real-time market data from AllianceAuth. Implement functions to retrieve item listings, prices, and transaction histories.

3. **Item Listing Interface**: Develop an interface where users can input details about items they wish to list on the market. Use 'aa-market-manager' to validate and submit these listings.

4. **Sales Tracking**: Integrate functionality to track sales made through the market. This includes recording sales data and updating inventory levels accordingly.

5. **Data Analysis**: Implement features to analyze market data. Users should be able to view sales trends over time, compare different items, and identify profitable opportunities.

6. **Visualization Tools**: Provide visual representations of market data using matplotlib. Include graphs showing sales trends, price fluctuations, and other relevant metrics.

7. **User Authentication**: Ensure secure access to the tool by implementing user authentication. Only authenticated users should be able to list items or access sensitive data.

8. **Documentation and Testing**: Write comprehensive documentation detailing how to use each feature of the tool. Conduct thorough testing to ensure all functionalities work as expected.

This project aims to streamline market management tasks, providing users with a powerful yet easy-to-use tool to optimize their market activities within the AllianceAuth platform.