awsuser

v1.0.1 suspicious
4.0
Medium Risk

CLI tool to authenticate AWS IAM users with password + MFA via Console sign-in (no access keys needed)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low technical risks but exhibits signs of potential abandonment or lack of maintenance, raising concerns about its legitimacy and long-term support.

  • Low technical risks across all checks
  • Repository appears abandoned or newly created with minimal activity
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
  • Shell: No shell execution detected, which is normal and indicates no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: The repository shows signs of being abandoned or newly created with minimal activity, raising concerns about its legitimacy.

📦 Package Quality Overall: Low (3.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2125 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 2 commits in tmb28054/awsuser
  • Single author with few commits — possibly a personal or throwaway project

🔬 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 score 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Very few commits: 2 total
  • Single contributor with only 2 commit(s) — possibly throwaway account
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Topaz Bott" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with awsuser 
Create a Python-based desktop application named 'SecureIAMAccess' that simplifies the process of authenticating AWS IAM users using their passwords and MFA codes directly from the console without needing access keys. This application will serve as a secure and user-friendly alternative to manual authentication processes. Here’s a step-by-step guide on how to develop the application:

1. **Setup Project Environment**: Initialize a new Python project and install necessary dependencies including the `awsuser` package. Ensure you have the latest version of Python installed.

2. **User Interface Design**: Design a simple yet effective graphical user interface (GUI) using a library such as PyQt5 or Tkinter. The GUI should include fields for entering the IAM user's username, password, and MFA code.

3. **Integration with awsuser Package**: Utilize the `awsuser` package to handle the authentication process. Your application should call functions from this package to authenticate the user. Ensure error handling is implemented to manage incorrect credentials or failed authentications gracefully.

4. **MFA Handling**: Implement support for different types of MFA devices (e.g., hardware tokens, SMS-based). Users should be able to input their MFA code manually or through scanning QR codes if supported by the MFA device.

5. **Security Measures**: Incorporate best practices for securing user data. For instance, ensure passwords are not stored locally and implement encryption for any sensitive information that might be temporarily stored during the authentication process.

6. **Session Management**: After successful authentication, the application should display a message indicating successful login and optionally provide a session token or other relevant details that could be useful for further actions within the AWS console.

7. **Testing and Validation**: Thoroughly test the application under various scenarios, including correct and incorrect inputs, to ensure robustness and reliability.

8. **Documentation and Deployment**: Document the setup and usage instructions for your application. Consider deploying it as a standalone executable for ease of use by end-users.

Suggested Features:
- Support for multiple MFA methods (QR code scanning, SMS, etc.).
- Integration with popular desktop environments (Windows, macOS, Linux).
- Logging of authentication attempts for auditing purposes.
- Option to save and reuse MFA codes securely (optional feature).
- User-friendly error messages guiding users through common issues.

By following these steps, you will create a powerful and easy-to-use tool that enhances security and convenience for managing AWS IAM user access.

💬 Discussion Feed

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