AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks in terms of network usage, shell execution, and code obfuscation. However, the low activity in the repository and the new/inactive author account warrant further investigation to rule out potential supply-chain attacks.
- Low activity in the repository
- New or inactive author account
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 malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
- Metadata: The low activity in the repository and the new/inactive author account raise some suspicion.
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
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 4.0
2 maintainer concern(s) found
Author 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 Fast-Permissions
Create a mini-application using FastAPI and the 'Fast-Permissions' package that manages user permissions for accessing different resources within a simple inventory system. This application should allow users to log in, view their own permissions, and access specific inventory items based on their roles. Here are the steps and features you should include:
1. **User Registration and Login**: Implement a registration system where users can sign up with unique usernames and passwords. Ensure there's also a login feature that authenticates users.
2. **Role-Based Permissions**: Define at least three roles ('Admin', 'Manager', and 'Employee') each with distinct permissions over the inventory items. For example, Admins should be able to add, edit, delete, and view all items; Managers can only add, edit, and view items; Employees can only view items.
3. **Inventory Management**: Allow adding new inventory items (with fields like item ID, name, quantity, and category), editing existing items, deleting items, and viewing all items or specific items based on the user's role as defined in step 2.
4. **User Permission View**: Provide a route where a logged-in user can see their current permissions and the actions they're allowed to perform within the inventory system.
5. **Security Enhancements**: Utilize 'Fast-Permissions' to secure these routes, ensuring that only authenticated and authorized users can perform certain actions. Demonstrate how 'Fast-Permissions' integrates seamlessly with FastAPI to manage these permissions dynamically based on user roles.
6. **Documentation**: Write comprehensive documentation detailing how to set up and use the application, including setup instructions for 'Fast-Permissions', and explanations of the API endpoints and their usage.
This project will showcase the power of 'Fast-Permissions' in securing FastAPI applications while providing a practical and engaging learning experience about role-based access control in web development.