concordia-sdk-python

v1.0.0 suspicious
4.0
Medium Risk

Concordia Python SDK

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell, obfuscation, and credential handling, but its minimal metadata and lack of an associated repository raise concerns about its legitimacy.

  • Minimal metadata and no associated GitHub repository
  • Recently uploaded
Per-check LLM notes
  • Network: The network calls appear to be related to authentication and requesting links, which are typical for SDKs requiring user interaction or service access.
  • 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 package is newly uploaded with minimal metadata and no associated GitHub repository, raising suspicion.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • ct[str, Any]: resp = requests.post(f"{self.base_url}/api/auth/login", json=payload, headers=sel
  • ct[str, Any]: resp = requests.post(f"{self.base_url}/api/auth/request-link", json=payload, head
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 (2026-06-05T00:57:19.000Z)
  • Author "Concordia" 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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