🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal network risk but shows medium shell risk due to potential command execution. The author's single package adds slight suspicion.

Medium shell risk due to potential command execution
Single package from author raises minor suspicion

Per-check LLM notes

Network: No network calls detected, which is low risk.
Shell: Shell execution detected might indicate potential for executing arbitrary commands, raising medium risk.
Metadata: The author has only one package, which could indicate a new or less active account, raising minor suspicion.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

Test runner config found: pyproject.toml
9 test file(s) detected (e.g. test_cis_version.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (17409 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

89 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 59 commits in hexorcist404/apotrope
Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

0]) try: result = subprocess.run( [*_PS_CMD, command], capture_output

✓ 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

Repository hexorcist404/apotrope appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Apotrope Contributors" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with apotrope

Create a mini-application named 'WindowsSecurityChecker' using the Python package 'apotrope'. This application will serve as a user-friendly interface for auditing and reporting on the security posture of a Windows system. Here are the steps and features your application should include:

1. **Installation and Setup**: Begin by installing the necessary packages including 'apotrope' and any other dependencies required for your application.
2. **System Audit**: Develop a feature within the application that leverages 'apotrope' to perform a comprehensive audit of the target Windows system. This audit should cover areas such as firewall settings, user permissions, and software vulnerabilities.
3. **Report Generation**: Implement a functionality that generates detailed reports based on the audit findings. These reports should be easily readable and highlight critical security issues.
4. **User Interface**: Design a simple yet effective graphical user interface (GUI) for interacting with the application. The GUI should allow users to initiate audits, view audit results, and generate reports.
5. **Customizable Audits**: Allow users to customize the scope of their audits by selecting specific areas they wish to focus on, such as only checking firewall settings or software vulnerabilities.
6. **Integration with External Tools**: Consider integrating your application with external tools like email services to automatically send audit reports to specified recipients.
7. **Security Recommendations**: Include a feature that provides actionable recommendations for improving the security posture of the system based on the audit results.

Throughout the development process, ensure that you utilize the core functionalities of 'apotrope' to gather accurate and reliable data for your audits and reports.