AI Analysis
Final verdict: SAFE
The package shows low risk across all categories with only a moderate metadata risk due to its novelty and limited activity.
- Network risk is acceptable as expected for a package interacting with external APIs.
- No signs of obfuscation, shell execution, or credential mishandling were found.
Per-check LLM notes
- Network: The network call pattern suggests the package is making HTTP requests, which could be legitimate if the package is designed to interact with external services.
- Shell: No shell execution patterns were detected, indicating no immediate risk related to command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
- Metadata: The package is new with limited activity, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (4.6/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (1993 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
7.0
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project23 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
4 unique contributor(s) across 48 commits in arcticsecurity/arcticsecurity-pythonSmall but multi-author team (3–4 contributors)
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
new client.""" return httpx.Client( base_url=self.urls.base_url, follow
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: arcticsecurity.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 4.0
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Arctic Security" 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 arcticsecurity
Your task is to develop a Python-based mini-application that leverages the 'arcticsecurity' library to manage security policies and configurations within a simulated enterprise environment. This application will serve as a tool for administrators to efficiently apply, modify, and monitor security settings across various departments and assets. ### Application Requirements: 1. **User Authentication:** Implement a simple login system where users must authenticate before accessing any administrative functions. This will ensure only authorized personnel can manage security policies. 2. **Department Management:** Allow the creation, modification, and deletion of department entries. Each department should have unique identifiers and names. 3. **Asset Management:** Users should be able to add, update, and remove assets associated with specific departments. Assets could represent physical equipment, software applications, or network devices. 4. **Security Policy Assignment:** Enable the assignment of predefined security policies to departments or individual assets. Policies might include data encryption requirements, firewall rules, and access control lists. 5. **Audit Log:** Maintain a log of all changes made to departments, assets, and policies. This audit log should record who made the change, when it was made, and what specifically was altered. 6. **Reporting:** Provide a feature to generate reports summarizing current security configurations and compliance status across different departments. ### Utilization of 'arcticsecurity': - Use 'arcticsecurity' to interact with its APIs for managing security configurations and retrieving policy information. - Ensure that all operations performed through your application are reflected accurately in the Arctic Security platform. - Leverage 'arcticsecurity' documentation and examples to understand how to implement these interactions effectively. ### Additional Features (Optional): - Implement a user role system to differentiate between department managers and IT security administrators. - Add real-time monitoring capabilities to alert users about potential security breaches or policy violations. - Develop a user-friendly interface using a framework like PyQt or Tkinter for desktop applications. ### Deliverables: - A fully functional Python application that meets the above requirements. - Documentation explaining how to install and use the application. - Sample data and test cases demonstrating the application's functionality. This project aims to showcase your ability to integrate third-party libraries into practical solutions while ensuring robust security practices.
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