ai-edge-litert-sdk-samsung-nightly

v2.2.0.dev20260605 suspicious
4.0
Medium Risk

Samsung SDK for AI Edge LiteRT

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some signs of potential risk, particularly concerning network calls and metadata, which could indicate issues with dependency management or maintainer activity.

  • network risk due to potential unverified dependency downloads
  • metadata risk due to a less active maintainer account
Per-check LLM notes
  • Network: The network call is likely for downloading dependencies but should be reviewed for legitimacy and security practices.
  • Shell: No shell execution patterns detected, which is normal and safe.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
  • Metadata: The package has no suspicious links or email domains, but the maintainer has only one other package, which might indicate a new or less active account.

📦 Package Quality Overall: Low (1.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • ball_url}...') try: urllib.request.urlretrieve(tarball_url, archive_name_local) except Exce
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

Email domain looks legitimate: tensorflow.org

Suspicious Page Links

All external links appear legitimate

Git Repository History

No GitHub repository linked

  • No GitHub repository link found
Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Google AI Edge Authors" 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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