okxweb3-app-mpp

v0.1.0 suspicious
6.0
Medium Risk

EVM payment method for MPP (Micropayment Protocol)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential credential harvesting and has unclear metadata, indicating a possible risk. However, there's no direct evidence of malicious intent or active exploitation.

  • Potential credential harvesting
  • Lack of maintainer history and author information
Per-check LLM notes
  • Network: The use of an HTTP client suggests the package communicates with external services, which is common for API-based applications like 'okxweb3-app-mpp'.
  • Shell: No shell execution patterns were detected, indicating low risk of executing arbitrary commands.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: Potential risk of credential harvesting due to suspicious key usage.
  • Metadata: The package is new with no maintainer history and lacks author information, raising suspicion.

🔬 Heuristic Checks

Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • e: self._client = httpx.AsyncClient(timeout=self._timeout) return self._client asyn
Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • ry: a crafted key (e.g. "../../etc/passwd" # or an absolute path) must not escape self._dir.
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 10.0

5 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Package uploaded less than 24 hours ago (2026-06-05T09:11:37.000Z)
  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)