AI Analysis
Final verdict: SUSPICIOUS
The package has low risks for obfuscation and credential harvesting, but its metadata suggests it might be a new or less established package, which raises some concerns about its authenticity and purpose.
- Low obfuscation risk
- Low credential risk
- Suspicious metadata indicating recent creation with limited details
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being newly created with minimal information, raising 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: 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 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 ASHC-v3
Your task is to create a user-friendly command-line tool using Python that helps manage personal finances more efficiently. This tool will leverage the 'ASHC-v3' package to streamline common tasks related to financial management. The application should allow users to input their income and expenses, categorize them, and generate reports summarizing their financial status over a specified period. The core functionalities of your application should include: - Adding income and expense entries with descriptions, amounts, and categories (e.g., groceries, rent, salary). - Categorizing transactions into predefined groups like 'food', 'housing', 'transportation', etc. - Generating monthly and yearly summaries of income and expenses. - Providing a feature to set and track savings goals. - Alerting users when they exceed a certain spending threshold within a category. To utilize the 'ASHC-v3' package, you'll need to implement its functions to automate repetitive tasks such as data validation, formatting, and basic calculations. For example, use 'ASHC-v3' to validate if the entered amount is a positive number, format dates correctly, and calculate total expenses and incomes accurately. Step-by-step guide to building the application: 1. Set up your Python environment and install necessary packages including 'ASHC-v3'. 2. Design the structure of your application, deciding which classes and functions are needed. 3. Implement the core functionality of adding income and expense entries, ensuring these operations are validated and formatted correctly using 'ASHC-v3'. 4. Develop the categorization system allowing users to choose from a list of predefined categories or add new ones. 5. Create a reporting module that generates summary reports based on user-defined time periods using 'ASHC-v3' for accurate calculations. 6. Add features for setting and tracking savings goals, providing visual feedback on progress. 7. Implement alerts that notify users via console messages when spending exceeds predefined thresholds. 8. Test the application thoroughly to ensure all features work as expected and are user-friendly. 9. Document your code and provide instructions on how to install and run the application. This project will not only help you understand how to integrate third-party packages effectively but also give you practical experience in developing real-world applications.