artemis

v0.5.0 suspicious
4.0
Medium Risk

The official Python library for the artemis API

🤖 AI Analysis

Final verdict: SUSPICIOUS

While the package shows low risks in terms of network usage, shell execution, obfuscation, and credential handling, there are concerns regarding suspicious links and maintainer history, suggesting potential supply-chain risks.

  • Suspicious links in metadata
  • Concerning maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Suspicious links and maintainer history raise concerns, but no clear typosquatting or domain flags.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (13408 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

  • Classifier: Typing :: Typed
  • 385 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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: artemisanalytics.xyz>

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://my.test.server.example.com:8083
  • Non-HTTPS external link: http://my.test.proxy.example.com
⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 artemis 
Create a real-time monitoring dashboard using the 'artemis' Python package. This application will allow users to visualize and monitor various metrics in real-time, such as system performance, network traffic, and application health. Here’s a detailed plan on how to proceed:

1. **Setup**: Begin by installing the 'artemis' package and setting up your development environment. Ensure you have Python 3.x installed along with necessary dependencies.
2. **Data Collection**: Utilize the 'artemis' package to collect data from different sources such as servers, applications, and networks. Explore the documentation to understand how to configure data collection points and set up monitoring intervals.
3. **Real-Time Visualization**: Implement a real-time visualization component using libraries like Plotly or Matplotlib to display collected data. The dashboard should update dynamically as new data comes in, providing an interactive experience for the user.
4. **Alert System**: Integrate an alert system within the application. When certain thresholds are met (e.g., CPU usage exceeds 80%), the system should trigger alerts via email or SMS.
5. **Customization Options**: Allow users to customize their dashboard layout and select which metrics they want to monitor. This could include options to add, remove, or rearrange widgets.
6. **Security Considerations**: Since sensitive information might be displayed, ensure proper authentication and authorization mechanisms are in place. Use secure connections and protect user data.
7. **Testing & Documentation**: Before deployment, thoroughly test the application to ensure all features work as expected. Write comprehensive documentation explaining how to install, configure, and use the application.

The 'artemis' package is crucial in this project as it provides the backend functionality for collecting and managing data streams efficiently. By leveraging its capabilities, you can focus more on the frontend development and user interface aspects.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!