azuredol

v0.1.13 suspicious
6.0
Medium Risk

Azure Storage Data Object Layer

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant shell execution risks and potential obfuscation techniques, while showing low maintainer activity and poor metadata quality. These factors collectively suggest a higher likelihood of malicious intent or poor coding practices.

  • High shell risk due to system-level task execution
  • Potential obfuscation through pickle usage
Per-check LLM notes
  • Network: The network call is likely for establishing a connection to Azure services as part of its functionality.
  • Shell: The shell execution patterns indicate the package might be performing system-level tasks such as starting/stopping Docker containers and executing commands, which could pose a risk if not properly controlled.
  • Obfuscation: The use of pickle for data serialization and deserialization may indicate obfuscation to hide code logic, which is suspicious but not conclusive without further context.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: The package shows low maintainer activity and poor metadata quality, raising suspicion but not definitive proof of malice.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. test_azurestoragedol.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Active multi-contributor project

  • 5 unique contributor(s) across 39 commits in i2mint/azuredol
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • > bool: try: with socket.create_connection((host, port), timeout=timeout): return True
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • obj_of_data=lambda b: pickle.loads(b), data_of_obj=lambda obj: pickle.dumps(obj), )
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • rootfolder}'...") proc = subprocess.Popen( cmd, cwd=rootfolder, stdout=subproc
  • e-storage/azurite", ] subprocess.check_call(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT)
  • N_STRING finally: subprocess.call( ["docker", "rm", "-f", container_name],
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with azuredol 
Your task is to develop a simple yet functional data management application using the 'azuredol' Python package, which provides an object layer for interacting with Azure Storage services. This application will serve as a tool for users to manage their data stored in Azure Blob Storage, including uploading files, listing all files in a specific container, downloading files, and deleting files. Additionally, you'll implement a feature to encrypt files before uploading them and decrypt them upon download, ensuring data privacy and security.

Step 1: Set up your environment
- Ensure Python is installed on your machine.
- Install the required packages, including 'azuredol', and any other necessary libraries for encryption/decryption.

Step 2: Initialize the Application
- Create a main function where the user can choose different operations through a command-line interface.
- Use 'azuredol' to connect to your Azure Storage account and specify the target container for data storage.

Step 3: Implement File Management Features
- Upload Function: Allow users to upload files from their local machine to Azure Blob Storage. Utilize 'azuredol' to handle the file upload process efficiently.
- List Function: Provide functionality to list all files currently stored within the specified container in Azure Blob Storage.
- Download Function: Enable users to download files from Azure Blob Storage back to their local machine.
- Delete Function: Offer a way to delete files from Azure Blob Storage.

Step 4: Add Encryption/Decryption Feature
- Before uploading a file, encrypt it using a symmetric key algorithm like AES. Ensure the key is securely managed.
- Upon downloading, decrypt the file using the same key to restore its original state.

Step 5: Test Your Application
- Thoroughly test each feature to ensure they work as expected.
- Validate that files can be encrypted during upload and decrypted correctly during download.

Suggested Enhancements:
- Implement a logging mechanism to track operations performed on files.
- Allow users to manage multiple containers.
- Integrate a version control system for files stored in Azure Blob Storage.

💬 Discussion Feed

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