🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious behavior such as network calls, shell execution, or credential harvesting. However, the metadata risk score is high due to the repository's lack of activity and a single commit, raising suspicion about the legitimacy and maintenance of the package.

High metadata risk due to repository inactivity and single commit
No direct evidence of malicious activities

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk of code obfuscation for malicious purposes.
Credentials: No credential harvesting patterns detected, suggesting the package does not pose a risk in terms of stealing secrets or credentials.
Metadata: The repository's lack of activity and the single commit suggest it may be suspicious.

🔬 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 score 7.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks
Very few commits: 1 total
Single contributor with only 1 commit(s) — possibly throwaway account

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "UsamaAliceWhite" 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 UsamaAliceWhite

Create a mini-application called 'Personal Finance Tracker' using the Python utility library 'UsamaAliceWhite'. This application will allow users to manage their daily expenses and incomes, providing insights into their financial health over time. Here’s a step-by-step guide on how to build it:

1. **Setup Environment**: Ensure you have Python installed and create a virtual environment for your project.
2. **Install UsamaAliceWhite**: Use pip to install the 'UsamaAliceWhite' package.
3. **Design Database Structure**: Utilize 'UsamaAliceWhite' to define a database schema for storing transaction details including date, amount, category (e.g., groceries, entertainment), and type (income or expense).
4. **Build Transaction Management System**: Implement functionalities within the app to add new transactions, update existing ones, and delete unnecessary entries. Use 'UsamaAliceWhite' to handle these operations efficiently.
5. **Create Reports and Analytics**: Develop features to generate monthly/yearly financial summaries, categorize expenses, and calculate net income/expense ratios. Leverage 'UsamaAliceWhite' for data manipulation and analysis tasks.
6. **User Interface**: Design a simple command-line interface (CLI) for interacting with the application. Consider adding basic user authentication to keep track of individual users’ financial data.
7. **Testing**: Thoroughly test each feature of the application to ensure reliability and accuracy of financial calculations.
8. **Documentation**: Write comprehensive documentation explaining how to use the Personal Finance Tracker and how 'UsamaAliceWhite' enhances its functionality.

Throughout the development process, focus on integrating 'UsamaAliceWhite' effectively to streamline database interactions and enhance the analytical capabilities of your application.