authwert

v1.2.1 suspicious
7.0
High Risk

Simple Authenticator

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

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.

πŸ“¦ Package Quality Overall: Low (4.6/10)

✦ High Test Suite 9.0

Test suite present β€” 15 test file(s) found

  • 15 test file(s) detected (e.g. test.py)
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (29400 chars)
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—‹ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
β—ˆ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 20 commits in wheresjames/authwert
  • Two distinct contributors found

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • xample.com/file", "file:///etc/passwd", "vbscript:msgbox(1)", ]) def test_dangerous_schemes_a
  • h): ctx = _ctx("/../../etc/passwd", str(tmp_path)) resp = await bin_mod.serveSite(ctx
βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: wheresjames.com

⚠ Suspicious Page Links score 8.0

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/verify
  • Non-HTTPS external link: http://authwert:18401/auth/verify
⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

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)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with authwert
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. Here’s 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.

πŸ’¬ Discussion Feed

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