cheminot

v1.0.0 suspicious
5.0
Medium Risk

Wrapper for Cheminot's API

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of being potentially malicious due to its recent creation and lack of activity, despite having no clear evidence of harmful code execution or data theft.

  • Metadata risk score is high at 7/10
  • Repository and package metadata suggest recent and suspicious activity
Per-check LLM notes
  • Network: The use of requests.Session() to update headers might indicate network calls for legitimate purposes like API interactions.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository and package are extremely new, with minimal activity and metadata, raising suspicion of potential malicious intent.

🔬 Heuristic Checks

Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • e_url self.session = requests.Session() self.session.headers.update({ "Authori
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 score 7.5

Git history flags: Repository created very recently: 1 day(s) ago (2026-06-03T23:15:20Z)

  • Repository created very recently: 1 day(s) ago (2026-06-03T23:15:20Z)
  • Repository has zero stars and zero forks
  • All 5 commits happened within 24 hours
Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Package uploaded less than 24 hours ago (2026-06-05T03:01:38.000Z)
  • Author "Arianne" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)