backend.ai-account-manager

v26.4.3 safe
3.0
Low Risk

Backend.AI Account Manager

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across multiple dimensions and does not indicate any malicious behavior. The metadata risk is slightly elevated due to the maintainer's limited package history, but this alone is insufficient to conclude malicious intent.

  • No network calls or shell executions detected
  • Low risk of code obfuscation and credential harvesting
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 direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, indicating a new or less active account, which may warrant further investigation.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

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

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.backend.ai/
○ 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

  • 74 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 9 unique contributor(s) across 100 commits in lablup/backend.ai
  • Active community — 5 or more distinct contributors

🔬 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

Repository lablup/backend.ai appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Lablup Inc. and contributors" 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 backend.ai-account-manager 
Create a user-friendly web-based account management system using Python and the 'backend.ai-account-manager' package. This system will allow users to manage their accounts on a Backend.AI platform, which is a powerful cloud computing infrastructure for machine learning and data science workloads. Your task is to design and implement a mini-application that allows users to perform the following actions:

1. **User Registration**: Allow new users to register with unique email addresses and strong passwords. Ensure that the registration process integrates with the 'backend.ai-account-manager' to create corresponding user accounts on the Backend.AI platform.
2. **Login**: Implement a secure login mechanism where users can authenticate themselves using their registered email and password. Upon successful authentication, the application should use the 'backend.ai-account-manager' to fetch the user's details from the Backend.AI platform.
3. **Account Management**: Users should be able to update their personal information such as name, email, and password. When these changes are made, your application should use the 'backend.ai-account-manager' to reflect these updates on the Backend.AI platform.
4. **Session Management**: Manage user sessions securely. After a user logs out, ensure that their session is properly terminated on both your application and the Backend.AI platform through the 'backend.ai-account-manager'.
5. **Role-Based Access Control (RBAC)**: Integrate RBAC to differentiate between roles like admin, user, and guest. Admins should have the ability to create, edit, and delete user accounts via the 'backend.ai-account-manager'.
6. **Security Features**: Implement security measures such as password hashing, encryption of sensitive data, and protection against common web vulnerabilities like SQL injection and XSS attacks.
7. **UI/UX Design**: Develop a clean, intuitive, and responsive UI using modern web technologies such as HTML, CSS, and JavaScript frameworks like React or Vue.js.
8. **Testing**: Write unit tests and integration tests to ensure that all functionalities work as expected. Pay special attention to testing the interaction between your application and the Backend.AI platform through the 'backend.ai-account-manager'.

Your application should demonstrate a deep understanding of the 'backend.ai-account-manager' package's capabilities and limitations, and effectively leverage it to provide a seamless account management experience for users of the Backend.AI platform.

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