azure-core

v1.41.0 safe
3.0
Low Risk

Microsoft Azure Core Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package azure-core v1.41.0 has minimal risks associated with it, with no significant indicators of malicious activity. It primarily deals with network interactions expected from Azure service clients and employs standard practices for data handling.

  • Low risk scores across all categories
  • No evidence of shell execution or credential harvesting
  • Potential unreliability in maintainer metadata but not malicious
Per-check LLM notes
  • Network: Network calls are expected for packages like azure-core which interact with Azure services.
  • Shell: No shell execution patterns detected.
  • Obfuscation: The observed patterns likely represent legitimate data encoding and decoding practices rather than malicious obfuscation.
  • Credentials: No suspicious patterns indicative of credential harvesting were detected.
  • Metadata: The maintainer information is sparse, indicating potential unreliability but not necessarily malicious intent.

📦 Package Quality Overall: Medium (6.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

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

Some documentation present

  • Detailed PyPI description (48872 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 366 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 score 3.0

Found 2 network call pattern(s)

  • self.session = requests.Session() self._init_session(self.session)
  • self.session = aiohttp.ClientSession(**clientsession_kwargs) else: ra
⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • try: decoded_bytes = base64.b64decode(continuation_token) token = json.loads(decoded_bytes
  • eaders"], content=base64.b64decode(response_state["content"]), ) # Reconstruct
  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore # --------
✓ 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> license-expression: mit

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

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

⚠ 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-core 
Create a small, fully-functional Python utility called 'AzureBlobManager' that leverages the 'azure-core' package along with other Azure SDKs to manage files within an Azure Blob Storage container. This tool will serve as a command-line interface (CLI) for users to interact with their blob storage containers, enabling them to upload, download, list, delete, and copy files between containers.

**Features:**
- **Authentication:** Implement Azure Active Directory (AAD) authentication to securely connect to Azure services.
- **File Management:** Allow users to upload files from their local machine to Azure Blob Storage, download files from Azure Blob Storage to their local machine, list all files in a specified container, delete files from a container, and copy files between two different containers.
- **Progress Bar:** Show a progress bar during file uploads and downloads to give users a visual indication of the operation's status.
- **Error Handling:** Gracefully handle errors such as connection issues, invalid input, and permission problems.
- **Help Documentation:** Provide comprehensive help documentation and examples on how to use each feature of the CLI.

**Utilization of 'azure-core':** The 'azure-core' package will be utilized primarily for its underlying HTTP pipeline, which provides robust network request handling, including retries, timeouts, and custom policies. Additionally, it will be used for common utilities and shared types across all Azure SDKs for Python, ensuring consistency and reliability in your interactions with Azure services.

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