azurefunctions-extensions-base

v1.2.0 suspicious
4.0
Medium Risk

Base Python worker extension for Azure Functions.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network, shell, obfuscation, and credential harvesting activities. However, the missing maintainer information and lack of a Git repository indicate potential issues with the package's legitimacy.

  • Metadata risk due to missing maintainer information
  • Lack of a Git repository
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Shell execution appears to be for code quality checks, which is typical for development and testing purposes.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has some red flags such as missing maintainer information and lack of a Git repository, which raises concerns about its legitimacy.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

  • 7 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (482 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

  • 29 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

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • try: subprocess.run( [sys.executable, '-m', 'mypy', '-m', 'azur
  • try: subprocess.run( [sys.executable, '-m', 'flake8', 'azurefun
✓ 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 azurefunctions-extensions-base 
Create a weather alert system using Azure Functions and the 'azurefunctions-extensions-base' Python package. This mini-app will fetch weather data from an API (such as OpenWeatherMap), process it, and send alerts via email if certain conditions are met (e.g., temperature above a specified threshold, heavy rain warning, etc.).

Step 1: Set up your Azure Function app environment. Ensure you have the necessary permissions and the 'azurefunctions-extensions-base' package installed.

Step 2: Integrate the OpenWeatherMap API into your application. Use the API to retrieve real-time weather data for a specific location. Parse the JSON response to extract relevant information such as temperature, humidity, wind speed, and precipitation.

Step 3: Implement the logic to trigger alerts based on predefined weather conditions. For example, if the temperature exceeds 35°C or there is a high chance of rainfall (above 70%), the system should prepare to send an alert.

Step 4: Configure the email sending functionality within your Azure Function. Utilize the 'azurefunctions-extensions-base' package to handle background processing efficiently when sending emails to notify users about the weather conditions.

Suggested Features:
- Allow users to specify multiple locations and receive alerts for each location.
- Provide a user-friendly dashboard where users can view recent weather updates and manage their alert settings.
- Implement a logging mechanism to track all sent alerts and any errors encountered during execution.
- Add support for different languages and time zones to cater to a global audience.

How 'azurefunctions-extensions-base' is Utilized:
- The package enables efficient background processing of tasks like fetching weather data and sending emails, which is crucial for maintaining performance and responsiveness of the application.
- Leverage its capabilities to scale the function app automatically based on demand, ensuring reliable operation even under high load scenarios.

💬 Discussion Feed

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