alshain

v0.1.3 suspicious
4.0
Medium Risk

Interface library for Alshain Oy devices

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network usage, shell execution, obfuscation, and credential handling. However, the low engagement and limited history of the maintainer increase suspicion, suggesting potential supply-chain risks.

  • Low engagement repository
  • Limited maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository has low engagement and the maintainer has limited history, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (3.0/10)

○ 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 (1500 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 5.0

Partial type annotation coverage

  • 44 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 6 commits in Alshain-Oy/pyalshain
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: alshain.fi>

✓ 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

  • 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 alshain 
Create a Python-based monitoring application called 'Alshain Watcher' that interfaces with Alshain Oy devices using the 'alshain' package. This application will serve as a comprehensive tool for users to monitor their Alshain Oy devices in real-time, offering insights into device performance and status. Here’s a step-by-step guide on what the application should achieve:

1. **Device Discovery**: Implement a feature to automatically discover all connected Alshain Oy devices within the network. Utilize the 'alshain.discover()' function from the 'alshain' package to scan the network and retrieve device information.
2. **Real-Time Monitoring**: Display real-time data from each discovered device. Use the 'alshain.Device.get_data()' method to fetch the latest data points. Ensure that the data refreshes every 5 seconds.
3. **Data Visualization**: Integrate Matplotlib or Plotly to visualize key metrics from the devices over time. Create graphs that show trends and anomalies in the data.
4. **Alert System**: Set up an alert system that triggers notifications based on predefined thresholds. For example, if a device's temperature exceeds a certain limit, send an email notification using the smtplib package.
5. **Configuration Management**: Allow users to configure settings for each device through a simple command-line interface. Users should be able to set thresholds for alerts, adjust polling intervals, etc., using the 'alshain.Device.set_config()' method.
6. **Historical Data Storage**: Implement a feature to store historical data in a local SQLite database. Use the 'sqlite3' package to manage the database operations. This allows users to review past performance and troubleshoot issues.
7. **User Authentication**: Add basic user authentication to protect the application. Users must log in before they can access any functionality. Use the 'getpass' module to securely handle passwords.
8. **Documentation and Help**: Provide a help menu that explains how to use each feature of the application. Include examples and explanations for common tasks.

By following these steps, you will create a robust and user-friendly application that leverages the full potential of the 'alshain' package.

💬 Discussion Feed

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