AI Analysis
The package shows minimal risk in terms of network, shell, obfuscation, and credential risks. However, the metadata risk due to low repository activity and a new maintainer account raises suspicion about potential supply-chain attack vectors.
- Low activity in the git repository
- New maintainer account
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious shell command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The low activity in the git repository and the new maintainer account suggest potential risk, but no clear indicators of malicious intent.
Package Quality Overall: Low (4.0/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (1716 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
8 type-annotated function signatures (partial)
Single-author or unverifiable project
1 unique contributor(s) across 5 commits in AuthPlane/python-sdkSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
1 maintainer concern(s) found
Author "Authplane Team" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a user management system for a small online community using Python and the 'authplane-fastmcp' package. This system will serve as a platform where users can register, log in, and manage their profiles. It will also include basic user authentication and authorization functionalities, leveraging the JWT (JSON Web Tokens) validation capabilities provided by 'authplane-fastmcp'. Step 1: Setup the Project Environment - Initialize a new Python project. - Install necessary packages including 'authplane-fastmcp', 'fastapi', 'uvicorn', and 'python-multipart'. Step 2: Design Database Schema - Define models for User, Role, and Token. - Implement a simple database using SQLite for storing user information. Step 3: Implement User Registration and Login - Create endpoints for user registration and login. - Use 'authplane-fastmcp' to generate and validate JWT tokens upon successful login. - Store tokens securely on the client side (e.g., local storage). Step 4: Profile Management - Allow authenticated users to view and edit their profile information. - Implement role-based access control using 'authplane-fastmcp' to restrict certain actions based on user roles. Step 5: Authentication Middleware - Develop middleware to handle token validation and user authentication across all routes. - Ensure that only authenticated requests proceed to the intended endpoints. Suggested Features: - Password hashing for secure storage of passwords. - Email verification upon account creation. - Two-factor authentication (2FA) option for enhanced security. - Remember me functionality to keep users logged in over multiple sessions. How 'authplane-fastmcp' is Utilized: - For JWT generation and validation during user authentication. - To implement role-based access control for different levels of user permissions. - As a middleware to authenticate each request and authorize access to resources.
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