aa-beltradar

v0.0.8 suspicious
4.0
Medium Risk

A Belt Tracking tool with various features

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal technical risks but shows some red flags such as an anonymous author and low repository activity, raising concerns about its legitimacy.

  • Anonymous author
  • Low activity in git repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external communications.
  • Shell: No shell executions detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags, including an anonymous author and low activity in the git repository, but there's no clear evidence of typosquatting or other malicious intent.

🔬 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: gmail.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

  • 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 aa-beltradar 
Create a mini-application called 'BeltTracker' using the Python package 'aa-beltradar'. This application will serve as a tracking tool for conveyor belts in industrial settings, providing real-time status updates, alerts for maintenance needs, and historical data analysis. Here’s a detailed breakdown of what the application should include and how it leverages 'aa-beltradar':

1. **Real-Time Monitoring**: Implement a feature that allows users to monitor the current status of multiple conveyor belts simultaneously. Utilize 'aa-beltradar' to fetch live data on belt speed, temperature, and operational efficiency.
2. **Alert System**: Develop an alert system within the app that sends notifications when any belt shows signs of potential failure or abnormal operation based on predefined thresholds. Use 'aa-beltradar' functions to detect anomalies and trigger alerts.
3. **Maintenance Scheduling**: Based on the historical data collected through 'aa-beltradar', create a predictive maintenance scheduling tool that suggests optimal times for belt inspections and replacements.
4. **Data Visualization**: Integrate visualizations like graphs and charts to display the performance metrics over time. This will help in analyzing trends and making informed decisions about belt maintenance and upgrades.
5. **User Interface**: Design a user-friendly interface where operators can easily view the status of all belts, set up alerts, and access historical data. Ensure the UI is responsive and intuitive.
6. **Integration with External Systems**: Explore integrating BeltTracker with existing industrial control systems or databases to streamline data collection and reporting processes.

To start building this application, you'll need to first install the 'aa-beltradar' package and familiarize yourself with its API documentation. Then, begin by setting up the basic structure of your application, followed by implementing each feature one at a time. Remember to test thoroughly after adding each new functionality to ensure everything works as expected.