AI Analysis
Final verdict: SAFE
The package azure-storage-blob v12.30.0 is deemed safe based on the analysis notes provided. There are no significant risks identified that would suggest malicious intent or supply-chain attacks.
- Low network risk due to expected Azure Blob Storage interactions.
- No shell execution, obfuscation, or credential harvesting risks detected.
Per-check LLM notes
- Network: Expected to have network calls for interacting with Azure Blob Storage services.
- Shell: No shell execution is expected in this context.
- Obfuscation: The observed patterns are likely part of normal encoding and decoding operations for handling binary data, not indicative of malicious obfuscation.
- Credentials: No suspicious 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 suspicious indicators are present.
Package Quality Overall: Medium (5.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (24642 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
444 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-pythonActive community — 5 or more distinct contributors
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 8.0
Found 4 obfuscation pattern(s)
ta.encode("utf-8") return base64.b64decode(data) def decode_base64_to_text(data): decoded_bytes =__path__ = __import__('pkgutil').extend_path(__path__, __name__) # type: ignore __path__ =) # type: ignore __path__ = __import__('pkgutil').extend_path(__path__, __name__) # type: ignore # --------h. uncompressed = zlib.decompress(data, -15) self._datum_decoder = avro_io.BinaryD
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
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-storage-blob
Create a simple file management utility using Python that integrates with Azure Blob Storage. This utility will allow users to upload files to their Azure Blob Storage account, download files from it, and list all files stored within a specific container. Here are the steps and features you need to implement: 1. **Setup**: Start by installing the `azure-storage-blob` package. Use pip to install it if it's not already installed. 2. **Authentication**: Implement a function to authenticate with Azure Blob Storage using connection strings or SAS tokens. Ensure that you securely handle these credentials. 3. **File Upload**: Develop a feature that allows users to select a local file and upload it to a specified Azure Blob Storage container. Include functionality to handle large files efficiently. 4. **List Files**: Create a function that lists all files within a given container. Display the file names and their last modified dates. 5. **File Download**: Implement a feature to download a file from the Azure Blob Storage container to the user's local machine. Allow users to specify the destination path. 6. **Delete File**: Add a delete function that removes a selected file from the storage container. 7. **User Interface**: Design a simple command-line interface (CLI) that guides users through these operations with clear prompts and instructions. 8. **Error Handling**: Ensure robust error handling is in place to manage common issues like network errors, authentication failures, and file access issues. 9. **Documentation**: Write clear documentation on how to use the utility, including setup instructions and example usage scenarios. This project will help users manage their Azure Blob Storage more effectively, providing them with a straightforward tool for uploading, downloading, listing, and deleting files.
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