azure-appconfiguration

v1.8.1 safe
2.0
Low Risk

Microsoft App Configuration Data Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, or clear signs of credential harvesting. The obfuscation and metadata risks are low and do not suggest any malicious intent.

  • No network calls detected.
  • No shell execution patterns detected.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: The use of base64 decoding is common for data serialization and deserialization, not necessarily indicative of malicious activity.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: The author has only one package, which might indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. asynctestcase.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (18834 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

  • 272 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-python
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • ash decoded_secret = base64.b64decode(self._credential.key) digest = hmac.new(decoded_secr
  • return attr return bytes(base64.b64decode(attr)) def _deserialize_bytes_base64(attr): if isinsta
  • ce("_", "/") return bytes(base64.b64decode(encoded)) def _deserialize_duration(attr): if isinstan
  • _unicode(data) return eval(data_type)(data) # nosec # pylint: disable=eval-used @
  • _unicode(attr) return eval(data_type)(attr) # nosec # pylint: disable=eval-used @
  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) # coding=utf-8 # ---------
✓ 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 score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://my-application
✓ Git Repository History

Repository Azure/azure-sdk-for-python appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Microsoft Corporation" 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-appconfiguration 
Develop a Python-based configuration management tool called 'ConfigMaster' that leverages the 'azure-appconfiguration' package to manage application settings dynamically. This tool will enable developers to easily update and retrieve configuration settings from Microsoft Azure App Configuration without needing to redeploy their applications. Here’s a detailed plan on how to implement this tool:

1. **Project Setup**: Begin by setting up your Python environment. Ensure you have Python installed along with the necessary packages such as 'azure-appconfiguration'. Use pip to install these dependencies.

2. **Connecting to Azure App Configuration**: Utilize the 'azure-appconfiguration' package to establish a connection to your Azure App Configuration service. This involves authenticating with your Azure credentials and specifying the endpoint URL of your configuration store.

3. **CRUD Operations**: Implement Create, Read, Update, and Delete operations for managing configuration settings. These operations should allow users to add new settings, retrieve existing ones, modify them, and delete unnecessary configurations.

4. **Dynamic Updates**: Enable real-time updates for configuration settings within running applications. This feature will ensure that any changes made through ConfigMaster are immediately reflected in connected applications.

5. **Version Control**: Integrate version control for configuration settings. Users should be able to view previous versions of settings and revert to them if needed.

6. **Security Features**: Incorporate security measures such as role-based access control and encryption for sensitive data stored in the configuration store.

7. **User Interface**: Develop a simple command-line interface (CLI) for interacting with ConfigMaster. The CLI should provide clear commands for performing CRUD operations and viewing configuration settings.

8. **Documentation**: Provide comprehensive documentation for ConfigMaster, including setup instructions, usage examples, and API reference. This will help other developers understand how to integrate ConfigMaster into their projects.

9. **Testing**: Conduct thorough testing of all features to ensure reliability and performance. Include unit tests for individual functions and integration tests to validate end-to-end scenarios.

10. **Deployment**: Prepare ConfigMaster for deployment. Consider packaging it as a standalone executable or Docker container for easy distribution.

Throughout the development process, focus on leveraging the 'azure-appconfiguration' package's capabilities to simplify configuration management tasks and enhance application flexibility.

💬 Discussion Feed

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