backend.ai-kernel-helper

v26.4.3 safe
2.0
Low Risk

Backend.AI Kernel Runner Prebuilt Binaries Package

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks with no network calls, no obfuscation, and no signs of credential harvesting. The presence of subprocess execution is noted but does not raise significant concerns given the lack of other red flags.

  • Low network and shell risk
  • No obfuscation or credential harvesting detected
  • Single package from maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: Subprocess execution is present but not inherently suspicious without additional context; it could be part of legitimate functionality.
  • 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, but there are no other suspicious flags.

📦 Package Quality Overall: Low (4.2/10)

○ 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
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ 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 score 2.0

Found 1 shell execution pattern(s)

  • cmdargs.append(pkgname) subprocess.run(cmdargs) sys.stdout.flush() # Ensure the user site
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.

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