Vortiq

v0.1.0 suspicious
5.0
Medium Risk

A lightning-fast, zero-cloud CLI utility that cleans your Windows directories by parsing file contents and visual data — automatically destroying clones and generating intelligently named folder structures.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risk for common threats like network activity, shell execution, and obfuscation. However, its metadata raises suspicion due to lack of detailed information and absence of a linked GitHub repository.

  • Metadata risk due to new package with minimal information
  • No associated GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands without user intervention.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package is newly created with minimal information and no associated GitHub repository, raising suspicion.

🔬 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

Email domain looks legitimate: gmail.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History

No GitHub repository linked

  • No GitHub repository link found
Maintainer History score 10.0

5 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Package uploaded less than 24 hours ago (2026-06-05T06:33:52.000Z)
  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)