AI Analysis
The package NumCircBuf appears to be safe with minimal risks identified. Although there is some uncertainty regarding the maintainer's activity and community engagement, the absence of network calls, obfuscation, and credential risks significantly lowers the overall threat level.
- No network calls detected
- Low obfuscation risk
- No credential harvesting patterns detected
Per-check LLM notes
- Network: No network calls detected, indicating no direct risk from network communications.
- Shell: The shell execution pattern is likely benign, possibly for system information gathering, but could indicate unexpected behavior depending on the package's intended use.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer seems new or inactive, and the repository lacks community engagement.
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
ubprocess name = subprocess.check_output( ["sysctl", "-n", "machdep.cpu.brand_string"
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
1 maintainer concern(s) found
Author "Syed Basim Ali" 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 NumCircBuf package to demonstrate its core features.