AI Analysis
The package shows minimal risks in terms of network, shell, and obfuscation activities, but the lack of metadata such as a GitHub repository and incomplete maintainer information raises suspicion about its origin and maintenance.
- No network or shell activity detected
- Incomplete maintainer information and no associated GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has no associated GitHub repository and the maintainer's information is incomplete.
Package Quality Overall: Low (3.6/10)
Test suite present — 3 test file(s) found
3 test file(s) detected (e.g. test_action.py)
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
32 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
Email domain looks legitimate: gmail.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a user authentication system for a web application using the Python package 'authsources'. This system will allow users to register, log in, and manage their profiles. The application should also support multiple authentication sources, such as LDAP and OAuth2, to provide flexibility in user management. ### Features: - **User Registration:** Users should be able to create accounts with unique usernames and secure passwords. - **Login System:** Implement a login system that allows users to authenticate using their registered credentials. - **Profile Management:** Users should be able to update their profile information, including username and password. - **Multi-Authentication Sources:** Support for different authentication methods such as LDAP and OAuth2. Users should be able to choose which method they prefer for logging in. - **Security Measures:** Ensure that passwords are securely stored and transmitted. Implement measures to prevent common security vulnerabilities. ### Utilization of 'authsources': - Use 'authsources' to handle the authentication process across different sources. This includes registering new users, verifying credentials during login, and managing user sessions. - Configure 'authsources' to work with your chosen authentication methods. For example, if you decide to use LDAP, configure it to connect to your LDAP server and validate user credentials accordingly. - Explore the documentation of 'authsources' to understand its capabilities and limitations. Consider implementing additional features based on what 'authsources' supports. ### Additional Instructions: - Start by setting up a basic Flask or Django backend to serve as the foundation of your application. - Integrate 'authsources' into your application and ensure it functions correctly with each supported authentication method. - Develop a simple frontend using HTML/CSS/JS or a templating engine like Jinja2 to interact with your backend API. - Test the application thoroughly to ensure all features work as expected, especially focusing on security aspects.
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