mudra-ml

v0.1.0 suspicious
4.0
Medium Risk

Glass-box autonomous data science: profile, clean, model, and explain every decision.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential handling. However, the metadata risk score is high due to recent creation and rapid development, raising suspicion about potential malicious intent.

  • High metadata risk due to recent creation and rapid development.
  • Low risk in other categories.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of secrets and credentials.
  • Metadata: The package is suspicious due to its recent creation and rapid development cycle, indicating potential malicious intent.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Repository created very recently: 0 day(s) ago (2026-06-05T01:11:39Z)

  • Repository created very recently: 0 day(s) ago (2026-06-05T01:11:39Z)
  • All 11 commits happened within 24 hours
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Package uploaded less than 24 hours ago (2026-06-05T01:48:43.000Z)
  • Author "Mudit Nautiyal" appears to have only 1 package on PyPI (new or inactive account)

💬 Discussion Feed

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