AI Analysis
The package shows minimal risks in terms of network, shell, and obfuscation activities, but the lack of a GitHub repository and incomplete maintainer information raises concerns about its provenance.
- Metadata risk due to incomplete maintainer information
- No associated GitHub repository
Per-check LLM notes
- Network: No network calls suggest the package does not engage in external communications which is typical for many packages focused on local authentication tasks.
- Shell: No shell execution detected indicates that the package does not execute system commands, reducing the risk of unauthorized system access.
- 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, raising some suspicion.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (7788 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
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 secure note-taking application called 'NoteVault' using Python, which leverages the 'authsome' package for user authentication. NoteVault should allow users to create accounts, log in securely, and manage their notes with encryption and decryption capabilities. Here are the steps and features to implement: 1. **User Registration**: Implement a registration process where users provide a username, password, and email. Use 'authsome' to hash and securely store passwords. 2. **Login System**: Allow registered users to log in using their credentials. Validate these credentials using 'authsome' for secure authentication. 3. **Note Management**: Once logged in, users should be able to create, read, update, and delete encrypted notes. Each note should be encrypted before being stored and decrypted upon retrieval using AES encryption. 4. **Session Management**: Utilize 'authsome' to manage user sessions securely. Ensure that session tokens are handled safely and are invalidated when necessary. 5. **Password Recovery**: Provide a mechanism for users to recover their passwords if they forget them. This should involve sending a temporary reset link to the registered email address. 6. **Security Enhancements**: Implement additional security measures such as rate limiting on login attempts and enforcing strong password policies. 7. **User Interface**: Develop a simple yet intuitive command-line interface for interacting with the application. The goal of this project is to demonstrate how 'authsome' can be effectively integrated into real-world applications to enhance security and user experience.
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