AI Analysis
The package exhibits high credential risk and moderate metadata risk, suggesting potential malicious intent. Further investigation is warranted.
- High credential risk due to suspicious patterns
- Moderate metadata risk with non-HTTPS links and low maintainer activity
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No signs of obfuscation techniques being used.
- Credentials: The code contains suspicious patterns that may be used for harvesting credentials or accessing sensitive files.
- Metadata: Suspicious non-HTTPS links and low maintainer activity suggest potential risks.
Package Quality Overall: Low (4.6/10)
Test suite present β 15 test file(s) found
15 test file(s) detected (e.g. test.py)
Some documentation present
Detailed PyPI description (29400 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
Limited contributor diversity
2 unique contributor(s) across 20 commits in wheresjames/authwertTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
Found 2 credential access pattern(s)
xample.com/file", "file:///etc/passwd", "vbscript:msgbox(1)", ]) def test_dangerous_schemes_ah): ctx = _ctx("/../../etc/passwd", str(tmp_path)) resp = await bin_mod.serveSite(ctx
No typosquatting candidates detected
Email domain looks legitimate: wheresjames.com
Found 4 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:18401/auth/verify;Non-HTTPS external link: http://127.0.0.1:18401/auth/;Non-HTTPS external link: http://authwert.default.svc.cluster.local:18401/auth/verifyNon-HTTPS external link: http://authwert:18401/auth/verify
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author "Robert Umbehant" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a secure login system for a simple task manager application using the 'authwert' package. This application will allow users to create accounts, log in, and manage their tasks securely. Hereβs a detailed plan on how to proceed: 1. **Setup Project Environment**: Initialize a new Python project and install the necessary packages including 'authwert'. Also, include Flask for web framework purposes. 2. **User Authentication**: Use 'authwert' to handle user authentication. Implement registration where users provide unique usernames and strong passwords. Ensure that passwords are hashed before being stored in the database. 3. **Login Functionality**: Allow registered users to log in using their credentials. Validate these credentials against the hashed passwords stored in your database using 'authwert'. 4. **Task Management**: Once logged in, users should be able to add, edit, delete, and view their tasks. Each task should have a title, description, and due date. 5. **Secure Sessions**: Utilize session management provided by Flask to keep users logged in after they authenticate. Ensure sessions are securely managed to prevent unauthorized access. 6. **Additional Features**: - Password reset functionality for forgotten passwords. - User profile pages where users can update their personal information. - Task reminders via email or SMS. 7. **Testing**: Thoroughly test the application to ensure all functionalities work as expected. Pay special attention to security aspects of the authentication process. 8. **Documentation**: Provide clear documentation on how to run the application locally, including setting up the environment and running tests. Throughout the development process, focus on making the application user-friendly and ensuring data security is prioritized at every step. Utilize 'authwert' to its fullest potential for handling all authentication-related tasks.
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