alibabacloud-alb20200616

v1.3.2 safe
3.0
Low Risk

Alibaba Cloud Alb (20200616) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate and safe based on the provided analysis notes. There are no indications of malicious intent or supply-chain attacks.

  • No network calls detected
  • No shell execution patterns
  • Low credential risk
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 immediate signs of malicious activity.
  • Obfuscation: The obfuscation pattern is not typical of malicious activity but could indicate an unusual method of accessing version information.
  • Credentials: No signs of credential harvesting detected.
  • Metadata: The author has only one package, which may indicate a new or less active account, but no other suspicious activities are observed.

📦 Package Quality Overall: Low (4.4/10)

○ 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 (1171 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
  • 284 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in aliyun/alibabacloud-python-sdk
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • bacloud-python-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "darabonba-core>=1.0.0, <2.0.0
✓ 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: alibabacloud.com

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
✓ Git Repository History

Repository aliyun/alibabacloud-python-sdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Alibaba Cloud SDK" 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 alibabacloud-alb20200616 
Create a Python-based web application that serves as a simplified Load Balancer Manager for Alibaba Cloud's ALB (Application Load Balancer). This application will allow users to manage their load balancers through a user-friendly interface, enabling them to create, update, delete, and monitor load balancers, as well as manage listeners and backend servers. Here’s a detailed breakdown of the steps and features you should include in your project:

1. **Setup**: Install the necessary Python packages, including 'flask' for the web framework and 'alibabacloud-alb20200616' for interacting with the ALB service. Ensure that the application can authenticate with Alibaba Cloud using the AccessKey ID and AccessKey Secret provided by the user.

2. **User Authentication**: Implement a simple authentication system where users provide their Alibaba Cloud credentials (AccessKey ID and AccessKey Secret) to gain access to the application. Store these securely, but note that for this exercise, you may use in-memory storage without persisting sensitive information to disk.

3. **Load Balancer Management**: Develop functionality to list all existing load balancers, create new ones, update existing ones, and delete them if no longer needed. Use the 'alibabacloud-alb20200616' package to perform these operations.

4. **Listener Management**: Allow users to manage listeners associated with their load balancers. Users should be able to add, modify, and delete listeners. Listeners define rules for directing traffic to different backend servers based on criteria like protocol, port, and domain name.

5. **Backend Server Management**: Provide tools for managing backend servers within the context of each listener. This includes adding, removing, and modifying backend server configurations.

6. **Monitoring and Alerts**: Integrate basic monitoring features that allow users to check the health status of their load balancers and associated components. Additionally, implement a simple alert system that notifies users via email when certain conditions are met (e.g., high error rates).

7. **User Interface**: Design a clean, intuitive user interface using HTML/CSS/JavaScript along with Flask's templating engine to interact with the backend API created for the above functionalities.

8. **Documentation**: Write comprehensive documentation detailing how to set up and use the application, including how to integrate it into existing Alibaba Cloud environments and any limitations or best practices.

By completing this project, you'll not only learn how to leverage the power of Alibaba Cloud's ALB service but also gain valuable experience in building robust, secure, and user-friendly web applications.