🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks associated with network calls, shell execution, and obfuscation, but the metadata suggests low maintainer effort, which could indicate potential issues.

Low maintainer effort observed
No clear malicious activities detected

Per-check LLM notes

Network: No network calls suggest normal operation without external communications.
Shell: No shell executions indicate the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
Credentials: No credential harvesting patterns detected, suggesting that the package does not pose a significant risk for stealing secrets or credentials.
Metadata: The package shows signs of low maintainer effort and could potentially be suspicious, but lacks clear red flags.

🔬 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: ms27.hinet.net>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with WebBrokerAPI

Develop a real-time stock market monitoring tool using the WebBrokerAPI Python package. This tool will allow users to subscribe to real-time stock price updates from various exchanges and visualize these updates in a user-friendly dashboard. The application should have the following functionalities:

1. User Registration & Login: Implement a simple registration and login system for users to access their personalized stock portfolios.
2. Stock Portfolio Management: Allow users to add, remove, and modify stocks in their portfolio.
3. Real-Time Data Subscription: Utilize the WebBrokerAPI package to subscribe to real-time stock price updates for each stock in a user's portfolio. The API should support multiple exchanges and different types of securities.
4. Data Visualization: Display real-time stock price changes using interactive charts. Consider using libraries such as Plotly or Matplotlib for visualizations.
5. Alerts System: Notify users via email or push notifications when certain predefined conditions are met (e.g., price exceeds a threshold).
6. Historical Data Analysis: Provide an option to analyze historical data for selected stocks over a specified period.
7. User Interface: Design a clean and intuitive web interface using Flask or Django for the front-end.
8. Security Measures: Ensure sensitive data is securely stored and transmitted using HTTPS and proper authentication mechanisms.
9. Documentation: Write comprehensive documentation detailing how to use the application, including setup instructions and API usage guidelines.

For this project, focus on integrating the core features of the WebBrokerAPI package, such as subscribing to real-time data streams and handling various security types. Additionally, explore how to efficiently manage multiple subscriptions and handle data asynchronously to provide a smooth user experience.