TypeDAL

v4.8.6 suspicious
4.0
Medium Risk

Typing support for PyDAL

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network usage, shell execution, and code obfuscation. However, the metadata risk score is elevated due to the maintainer's account status, suggesting potential issues that warrant further investigation.

  • Low network, shell, and obfuscation risks
  • Elevated metadata risk due to maintainer's account status
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 immediate risk of command injection or unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some concerns but not definitive proof 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: trialandsuccess.nl>

Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://web2py.com/books/default/chapter/29/6
Git Repository History

Repository trialandsuccess/TypeDAL appears legitimate

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 TypeDAL
Create a simple task management application using Python that leverages the TypeDAL package for type-safe database operations. The application should allow users to add, update, delete, and list tasks. Each task should have fields such as title, description, due date, priority level, and completion status.

### Project Requirements:
1. **Database Setup**: Use SQLite as your database backend. Utilize TypeDAL to define your database schema with proper typing to ensure type safety during runtime.
2. **CRUD Operations**: Implement Create, Read, Update, and Delete operations for tasks. Ensure these operations are type-safe and robust against common errors like SQL injection.
3. **User Interface**: Develop a basic command-line interface (CLI) where users can interact with the application. The CLI should provide clear prompts and feedback for each action.
4. **Validation**: Include input validation to ensure that dates are correctly formatted, priorities are within a specified range, and descriptions are not too long.
5. **Error Handling**: Implement error handling to gracefully manage invalid inputs and other exceptions.
6. **Persistence**: Ensure that data persists even after the application is closed and reopened.
7. **Optional Features**: Consider adding optional features such as filtering tasks by priority, searching for tasks by keyword, or marking all tasks as completed at once.

### How to Use TypeDAL:
- Define your models with TypeDAL, specifying types for each field to take advantage of type checking during development.
- Use TypeDAL's query builder to safely construct queries that avoid SQL injection risks.
- Leverage TypeDAL's transaction management capabilities to ensure database operations are atomic and consistent.

Your goal is to demonstrate a practical use case for TypeDAL in building a real-world application, focusing on its ability to enhance code quality through type safety.