AI Analysis
The package shows low risks in terms of network usage, shell execution, and obfuscation. However, its metadata suggests it is new and has little activity, raising some suspicion.
- Metadata risk score of 4 out of 10 due to being newly created with minimal activity
- Lack of description and versioning details
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating no direct system command execution observed.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package appears to be newly created with minimal activity and metadata, raising some suspicion but not definitive evidence of malice.
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
Create a Python-based security audit tool named 'ArkAudit' using the 'arkensec-cli' package. This tool will serve as a comprehensive solution for conducting initial security assessments on web applications. Your task is to design and implement a command-line interface (CLI) that allows users to input URLs of websites they want to scan for common vulnerabilities such as SQL injection, XSS (Cross-Site Scripting), and insecure cookie handling. Steps to follow: 1. Install the 'arkensec-cli' package once it becomes available. 2. Design the CLI structure with commands like 'scan', 'report', and 'configure'. 3. Implement the 'scan' command to accept a URL and perform automated tests for the mentioned vulnerabilities. 4. Use 'arkensec-cli' to integrate its scanning capabilities into your tool. 5. Develop a feature to generate a report after each scan detailing findings, including severity levels. 6. Allow users to configure their settings, such as enabling/disabling specific types of scans or setting up API keys for enhanced functionalities. 7. Ensure the application outputs results clearly and concisely through the CLI. 8. Add documentation explaining how to use 'ArkAudit' effectively and securely. Features to include: - User-friendly CLI interface for easy interaction. - Comprehensive vulnerability detection focusing on SQL injection, XSS, and cookie security. - Customizable scan configurations based on user needs. - Detailed reporting system with clear, actionable insights. - Secure handling of any sensitive data provided by users. Remember to leverage 'arkensec-cli' for its core functionalities to ensure the tool is robust and reliable.
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