AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity and poses minimal risk. However, the maintainer's metadata quality is low, suggesting potential issues with package maintenance.
- Low risk in all technical categories.
- Poor metadata quality indicating potential maintenance issues.
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 immediate risk of command injection or unauthorized access.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating secure handling of secrets and credentials.
- Metadata: The maintainer has a new or inactive account and lacks PyPI classifiers, indicating low effort or poor metadata quality.
Package Quality Overall: Low (1.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
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 4.0
2 maintainer concern(s) found
Author "Apheris" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with apheris-auth
Create a mini-application called 'SecureNote' that allows users to store and manage their notes securely. This application will utilize the 'apheris-auth' package to handle user authentication and authorization processes. The app should have the following functionalities: 1. User Registration: Users should be able to register with their email address and password. Passwords must be securely hashed before being stored. 2. User Login: Registered users should be able to log into the application using their credentials. 3. Note Management: Logged-in users should be able to create, read, update, and delete their own notes. 4. Secure Access: Each note should only be accessible by the user who created it. Unauthorized access attempts should be logged and handled appropriately. 5. Password Recovery: Implement a secure password recovery feature that allows users to reset their passwords via a temporary token sent to their registered email address. Use the 'apheris-auth' package to manage user sessions, authenticate requests, and authorize actions based on user roles and permissions. Ensure that all sensitive data is properly encrypted and that the application adheres to best security practices.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue