OpenRCT2-ObjectCommon

v0.1.0 suspicious
4.0
Medium Risk

Shared config, CLI, .parkobj, and object.json scaffolding for OpenRCT2 object generators.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its recent creation and single contributor with no maintainer history, suggesting potential unreliability or hidden intentions.

  • Recent creation
  • Single contributor
  • Lack of maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell executions detected, indicating no immediate risk of command injection or system manipulation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package is highly suspicious due to its recent creation, single contributor, and lack of maintainer history.

🔬 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: atparisi.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History score 7.5

Git history flags: Repository created very recently: 0 day(s) ago (2026-06-05T03:28:07Z)

  • Repository created very recently: 0 day(s) ago (2026-06-05T03:28:07Z)
  • Single contributor with only 4 commit(s) — possibly throwaway account
  • All 4 commits happened within 24 hours
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 (2026-06-05T04:20:43.000Z)
  • 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)