azure-functions-runtime

v1.1.1 suspicious
6.0
Medium Risk

Python Language Worker for Azure Functions Runtime

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network, shell, and obfuscation activities. However, the incomplete maintainer information and inability to verify the GitHub repository metadata raise concerns about potential supply-chain risks.

  • Incomplete maintainer information
  • Failed GitHub repository verification
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package not requiring external communications.
  • Shell: No shell execution patterns detected, indicating no unexpected system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author information is incomplete and the GitHub repository check failed due to a 403 error, raising some suspicion.

📦 Package Quality Overall: Low (3.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/Azure/azure-functions-python-worker/blob/
  • Detailed PyPI description (6489 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 62 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 403

🔬 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: microsoft.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History score 3.0

GitHub API error: 403

  • GitHub API error: 403
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 azure-functions-runtime
Create a fully-functional mini-application that integrates with Azure Functions using the 'azure-functions-runtime' package. This application will serve as a simple event-driven system that triggers actions based on HTTP requests and timer events. The goal is to demonstrate the power of serverless computing while leveraging the Azure Functions runtime for Python workers.

### Project Overview:
- **Name:** Event-Driven Notification System
- **Objective:** To develop a notification system that sends out emails based on both HTTP triggers and scheduled timers.

### Key Features:
1. **HTTP Trigger:** Users can send a POST request to the application which includes details about the email content and recipient. Upon receiving the request, the system should validate the input and send an email notification to the specified recipient.
2. **Timer Trigger:** The application should also have a feature that sends out a daily digest email summarizing recent events or updates. This timer-based trigger will run every day at a specific time.
3. **Logging:** Implement logging for all operations performed by the application to monitor its behavior and troubleshoot any issues.
4. **Error Handling:** Ensure robust error handling mechanisms are in place to manage any exceptions gracefully and provide meaningful error messages.
5. **Configuration Management:** Use environment variables to manage configuration settings such as SMTP credentials and timer schedules.

### Utilization of 'azure-functions-runtime':
- The 'azure-functions-runtime' package will be used to create and deploy the functions that handle HTTP and timer triggers. It enables Python workers to interact seamlessly with the Azure Functions runtime, allowing for easy deployment and management of these functions within the Azure ecosystem.
- For the HTTP trigger function, you'll use the package to define an HTTP-triggered function that listens for POST requests and processes them according to your logic.
- For the timer trigger function, you'll leverage the package to schedule a recurring task that executes daily at a specified time.

### Steps to Complete the Project:
1. Set up your development environment with the necessary tools and dependencies, including the 'azure-functions-runtime' package.
2. Define the structure of your application, including the HTTP and timer trigger functions.
3. Implement the functionality for each trigger, ensuring proper validation and error handling.
4. Configure the application to use environment variables for sensitive information like SMTP credentials.
5. Test your application thoroughly to ensure it works as expected under different scenarios.
6. Deploy your application to Azure Functions, making use of the Azure portal or Azure CLI for deployment.
7. Monitor the performance and logs of your deployed application to ensure stability and reliability.

This project not only showcases the capabilities of the 'azure-functions-runtime' package but also provides a practical example of building scalable and maintainable applications using Azure Functions.

💬 Discussion Feed

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