azure-functions

v2.1.0 suspicious
5.0
Medium Risk

Python library for Azure Functions.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to missing maintainer information and a lack of a GitHub repository, raising concerns about its origin and maintenance.

  • Metadata risk due to missing maintainer information and GitHub repository.
  • Moderate obfuscation risk that could potentially mask malicious intent.
Per-check LLM notes
  • Network: No network calls detected, which is normal for many packages but may be unusual for 'azure-functions' since it typically interacts with Azure services.
  • Shell: No shell execution patterns detected, which is expected and indicates no immediate signs of malicious activity.
  • Obfuscation: The observed patterns are likely for package extension rather than malicious obfuscation.
  • Credentials: No suspicious patterns indicative of credential harvesting were found.
  • Metadata: The package lacks a maintainer's name and GitHub repository, which raises some suspicion but does not conclusively indicate malice.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: setup.cfg
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5238 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

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

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • he MIT License. __path__ = __import__('pkgutil').extend_path(__path__, __name__) # Copyright (c) Microsoft
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 
Create a weather alert system using the Azure Functions Python library. This system will monitor real-time weather data from a specified location and trigger alerts when certain conditions are met. The application should be designed to run continuously in the cloud, leveraging the serverless architecture provided by Azure Functions.

Step-by-Step Instructions:
1. Set up an Azure Function using the `azure-functions` Python library. Ensure you have the necessary Azure credentials and environment variables configured.
2. Integrate a weather API (such as OpenWeatherMap) to fetch current weather conditions for a given city.
3. Define a function within your Azure Function that periodically checks the weather conditions against predefined thresholds (e.g., temperature above 35°C, humidity over 90%, etc.).
4. Implement an alert mechanism that sends notifications via email or SMS when the conditions exceed these thresholds.
5. Use Azure Storage or another cloud service to log all alerts for auditing purposes.
6. Optionally, add a user interface where users can specify their preferred location and alert preferences.

Suggested Features:
- Real-time monitoring of weather conditions.
- User-defined alert thresholds for various weather parameters.
- Notification via email or SMS when conditions exceed defined thresholds.
- Historical logging of alerts for review.
- A simple web-based UI for user interaction.

How 'azure-functions' is Utilized:
- The `azure-functions` package allows you to define and deploy functions that can be triggered by different events, such as time intervals (for periodic weather checks), HTTP requests (for user interactions), and more. It simplifies the process of deploying Python code to Azure Functions, enabling efficient execution of cloud-based tasks without managing infrastructure.

💬 Discussion Feed

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