AI Analysis
The package has low risks in terms of network usage, shell execution, and code obfuscation. However, the metadata suggests a lack of maintenance effort, raising concerns about its legitimacy.
- Metadata risk due to low effort and potentially inactive maintainer
- No direct evidence of malicious activities
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some signs of low effort and possibly a new or inactive maintainer, which could indicate potential risk.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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: arkensec.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "ArkenSec LLC" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a comprehensive security audit tool using the 'arkensec-sdk' Python package. This tool will be designed to help organizations perform quick and efficient security audits on their IT infrastructure. The application should have the following core functionalities: 1. **User Interface**: Create a simple yet effective user interface where users can input details of their network components such as IP addresses, server names, and ports. 2. **Component Scanning**: Utilize the 'arkensec-sdk' to scan network components for vulnerabilities. The package should provide functions to identify outdated software, weak configurations, and other security risks. 3. **Vulnerability Reporting**: After scanning, generate detailed reports outlining the vulnerabilities found, their severity, and recommendations for remediation. Reports should be easily exportable in formats like PDF or CSV. 4. **Integration with External Tools**: Allow integration with external tools like email services or ticketing systems to automatically send alerts or create tickets based on the findings from the security audit. 5. **Customizable Audits**: Users should be able to customize their audit settings, such as choosing specific types of vulnerabilities to focus on or setting thresholds for alert generation. 6. **Real-time Monitoring**: Implement real-time monitoring capabilities to notify users immediately when critical vulnerabilities are detected. To achieve these goals, you will need to utilize the 'arkensec-sdk' package effectively. Specifically, leverage its scanning and reporting modules to streamline the auditing process. Additionally, consider exploring any API endpoints or services provided by 'arkensec-sdk' that could enhance the functionality of your tool. Your final product should not only be functional but also user-friendly, ensuring that even non-technical staff can benefit from it.
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