AI Analysis
Final verdict: SUSPICIOUS
The package shows a moderate risk due to its obfuscated code, which may indicate attempts to hide its true functionality. However, there is no clear evidence of malicious intent beyond obfuscation.
- Obfuscation risk 7/10
- No network or shell risks detected
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious shell command execution.
- Obfuscation: The code pattern suggests potential obfuscation to hide the actual functionality of retrieving cached data using pickle, which could be an attempt to obscure the implementation details.
- Credentials: No direct evidence of credential harvesting is present in the provided code snippet.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
return None return pickle.loads(self.cache.get(key)) def set(self, key, value, ttl=None
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "João Pinheiro" 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 Pokie
Your task is to develop a simple yet functional mini-application using the 'Pokie' Python package, which is built on top of Flask, Rick, and RickDb. This application will serve as a basic inventory management system for a small business. The goal is to showcase the capabilities of Pokie by implementing CRUD operations (Create, Read, Update, Delete) for managing product information such as name, description, quantity, and price. Additionally, the application should include user authentication for accessing the inventory data. Step-by-Step Instructions: 1. Set up your development environment by installing Python, Flask, and the Pokie package. 2. Create a new Flask application and initialize it with Pokie. 3. Define models for products using Rick and RickDb to handle database interactions. 4. Implement routes and views for the CRUD operations using Pokie's high-level abstractions. 5. Add user authentication using Flask-Security or a similar library to ensure only authorized users can access the inventory data. 6. Test the application thoroughly to ensure all functionalities work as expected. 7. Deploy the application to a platform like Heroku or AWS to make it accessible online. Suggested Features: - User registration and login functionality. - Ability to add new products, edit existing ones, and delete products from the inventory. - Display a list of all products along with their details. - Search functionality to find specific products by name or description. - Admin panel for managing user roles and permissions. How to Utilize Pokie: - Use Pokie's decorators for defining routes and handling HTTP requests efficiently. - Leverage Rick and RickDb for seamless ORM (Object-Relational Mapping) operations without writing raw SQL queries. - Employ Pokie's built-in support for Flask extensions like Flask-Security for quick integration of authentication mechanisms.