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)