AI Analysis
The package exhibits minimal risk factors with no network or shell risks, and no signs of obfuscation or credential harvesting. However, the incomplete maintainer information and lack of a GitHub repository slightly increase suspicion.
- Incomplete maintainer information
- No associated GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function.
- Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has no associated GitHub repository and the maintainer information is incomplete, raising some suspicion but not conclusive evidence of malice.
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: listas.cimne.upc.edu>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Build a simple Python application using the KratosStatisticsApplication package to demonstrate its core features.