alibabacloud-ess20220222

v1.13.2 safe
4.0
Medium Risk

Alibaba Cloud Auto Scaling (20220222) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories, with only minor concerns about obfuscation and metadata. There are no indications of malicious activities or supply-chain attacks.

  • Low obfuscation risk
  • Single package by maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: The obfuscation pattern observed is not indicative of malicious activity but could be an unconventional way to import and access the version of a package.
  • Credentials: No patterns suggesting credential harvesting were detected.
  • Metadata: The maintainer has only one package, which could indicate a new or less active account, but no other red flags were identified.

📦 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
  • 174 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-ess20220222 
Create a Python-based command-line tool that helps manage and monitor auto-scaling groups on Alibaba Cloud. This tool will allow users to easily configure, scale, and check the status of their auto-scaling groups using the 'alibabacloud-ess20220222' package. The application should have the following core functionalities:

1. **Auto-scaling Group Management** - Users should be able to create, update, and delete auto-scaling groups.
2. **Scaling Configuration** - Ability to set up scaling configurations such as the minimum, maximum, and desired number of instances in an auto-scaling group.
3. **Instance Monitoring** - Monitor the health and status of instances within an auto-scaling group, including the ability to trigger scaling activities based on instance health checks.
4. **Scheduled Scaling Activities** - Schedule scaling activities at specific times or intervals to adjust the number of instances based on anticipated load.
5. **Event Logging** - Maintain a log of all actions performed through the tool, including errors and successful operations.

The 'alibabacloud-ess20220222' package will be central to implementing these features, providing the necessary methods and classes to interact with Alibaba Cloud's Auto Scaling service. Your task is to design and implement this tool, ensuring it is user-friendly, efficient, and secure. Document your implementation process and any challenges faced during development.

💬 Discussion Feed

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