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)

💬 Discussion Feed

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