backend.ai-storage-proxy

v26.4.3 safe
3.0
Low Risk

Backend.AI Storage Proxy

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with no signs of obfuscation or credential harvesting. The metadata risk is slightly elevated due to the maintainer's single package, but this alone does not suggest a supply-chain attack.

  • No obfuscation detected
  • No credential harvesting patterns
  • Single package from maintainer
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account.

📦 Package Quality Overall: Medium (5.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.backend.ai/
  • Detailed PyPI description (21034 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

  • 212 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 score 3.0

Found 2 network call pattern(s)

  • .md") async with aiohttp.ClientSession() as session: async with session.get(readme_
  • ) self._session = aiohttp.ClientSession(timeout=timeout) async def cleanup(self) -> None:
✓ 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-storage-proxy 
Create a cloud-based file management utility called 'CloudFileMgmt' using Python, which leverages the 'backend.ai-storage-proxy' package to interact with cloud storage services like AWS S3 or Google Cloud Storage. This utility will allow users to upload, download, list, delete, and share files stored in their cloud storage accounts. Additionally, implement a feature that allows users to create and manage folders within their cloud storage, as well as rename files and folders. To enhance user experience, include a search functionality that allows users to find specific files or folders based on keywords. For added security, integrate an authentication system that requires users to log in before accessing any of the features. Utilize the 'backend.ai-storage-proxy' package to handle all interactions with the cloud storage service, ensuring efficient and secure data transfer. The application should also provide a simple command-line interface for easy access and usage.

💬 Discussion Feed

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