amber-cloud

v1.0.0 suspicious
6.0
Medium Risk

Local-first Azure emulator — build, test, and iterate without an Azure account.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation and has limited historical data, raising concerns about its legitimacy and intent.

  • High obfuscation risk
  • Limited package history
Per-check LLM notes
  • Obfuscation: The observed pattern is indicative of obfuscation that attempts to bypass simple import checks, which may be used for malicious purposes.
  • Credentials: No clear signs of credential harvesting are present.
  • Metadata: The package is new with limited history and a single release, raising some suspicion. The presence of a non-secure external link also adds to the concern.

📦 Package Quality Overall: Medium (5.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://vishwa-docs.github.io/amber/
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (7625 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

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 639 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • str) -> str: try: __import__(module_name) except ImportError: return f"{module_name}:miss
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://127.0.0.1:8000
⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Vishwa Kumaresh" 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 amber-cloud 
Create a local-first development environment for Azure services using the 'amber-cloud' Python package. This project will allow developers to emulate Azure services such as Blob Storage and Queue Storage directly on their local machine, without needing an actual Azure subscription. The goal is to build a simple file management system where users can upload files, view a list of all uploaded files, and delete specific files. Additionally, implement a basic queue system to handle file deletion requests asynchronously.

Step 1: Set up your local development environment with 'amber-cloud'. Install the package and configure it to emulate Azure Blob Storage and Queue Storage services.

Step 2: Design a user interface that allows users to:
- Upload new files to the emulated Blob Storage.
- View a list of all files currently stored in the Blob Storage.
- Request the deletion of a specific file through the Queue Storage.

Step 3: Implement backend functionality to interact with the emulated Azure services. Use 'amber-cloud' to simulate the creation, reading, updating, and deleting of blobs, as well as sending messages to the queue for file deletion requests.

Step 4: Create a worker process that listens to the queue and deletes files from Blob Storage when requested. Ensure this process runs asynchronously and does not block the main application flow.

Suggested Features:
- User authentication to secure access to the file management system.
- Support for multiple file types and sizes within the Blob Storage.
- Real-time updates for the file list after any action (upload, delete).
- Logging and error handling for all interactions with the emulated Azure services.

How 'amber-cloud' is Utilized:
- For setting up the local environment to mimic Azure Blob Storage and Queue Storage, allowing developers to test and develop their applications without relying on cloud resources.
- To handle all storage operations locally, including uploading files, listing files, and managing file deletions via a queue.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!