aws-sdk-ecs

v0.1.0 suspicious
4.0
Medium Risk

Python SDK for Amazon ECS.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential risk due to its incomplete metadata and lack of maintainer history, but it does not exhibit any overtly malicious behaviors.

  • Metadata risk due to new package and incomplete author information
  • Credential risk for legitimate AWS API calls
Per-check LLM notes
  • Network: No network calls detected, which is normal for a pure SDK package.
  • Shell: No shell execution detected, which is normal for a pure SDK package.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: The code appears to be collecting AWS credentials for legitimate use, such as making API calls to AWS ECS.
  • Metadata: The package shows signs of being potentially malicious due to its newness, lack of maintainer history, and incomplete author information.

📦 Package Quality Overall: Low (4.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2341 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
  • 194 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 10.0

Found 6 credential access pattern(s)

  • -> Credentials: ak = os.environ.get("AWS_ACCESS_KEY_ID") sk = os.environ.get("AWS_SECRET_ACCE
  • _ACCESS_KEY_ID") sk = os.environ.get("AWS_SECRET_ACCESS_KEY") if not ak or not sk:
  • ret_key": sk} token = os.environ.get("AWS_SESSION_TOKEN") if token: out["session_t
  • self._profile = profile or os.environ.get("AWS_PROFILE", "default") self._cred_file = credentials_f
  • als_file or Path( os.environ.get("AWS_SHARED_CREDENTIALS_FILE") or Path.home() / ".aws
  • fig_file or Path( os.environ.get("AWS_CONFIG_FILE") or Path.home() / ".aws" / "config" )
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" 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 aws-sdk-ecs 
Your task is to develop a simple yet powerful command-line tool using Python that helps manage Amazon Elastic Container Service (ECS) clusters. This tool will allow users to perform various operations on their ECS clusters, such as listing all running tasks, starting new services, stopping existing ones, and more. The project will utilize the 'aws-sdk-ecs' Python package to interact with the ECS API.

### Project Scope:
1. **Cluster Management**: Allow users to view details of their ECS clusters, including the number of active services, running tasks, and available capacity.
2. **Service Operations**: Enable users to start, stop, and update services within their ECS clusters.
3. **Task Control**: Provide functionality to run new tasks, stop running tasks, and monitor task status.
4. **Configuration Management**: Users should be able to define service configurations (e.g., desired task count, task definition) through a YAML configuration file.
5. **Logging and Monitoring**: Implement logging for all operations performed via the CLI tool. Additionally, provide basic monitoring capabilities to alert users about service health issues.

### Key Features:
- **Interactive CLI Interface**: Develop a user-friendly command-line interface that guides users through the process of managing their ECS resources.
- **Configuration Flexibility**: Support multiple cluster configurations stored in separate YAML files, allowing users to switch between different environments (development, staging, production).
- **Error Handling and Validation**: Ensure robust error handling and input validation to prevent common mistakes and provide informative feedback to users.
- **Documentation and Help**: Include comprehensive documentation and help commands within the CLI tool to assist users in understanding available options and functionalities.

### Utilizing 'aws-sdk-ecs':
- Use the 'list_clusters', 'describe_clusters', 'list_services', 'describe_services', 'run_task', 'stop_task', and 'update_service' methods from the 'aws-sdk-ecs' package to interact with ECS clusters and services.
- For each operation, ensure proper authentication using AWS credentials (either through environment variables or IAM roles).
- Implement asynchronous task execution where applicable to improve performance and responsiveness of the CLI tool.

### Deliverables:
- A fully functional Python CLI tool that meets the above requirements.
- Comprehensive documentation explaining how to install, configure, and use the CLI tool.
- Example YAML configuration files for testing purposes.
- Unit tests covering major functionalities of the CLI tool.

This project aims to streamline the management of ECS clusters and services, making it easier for developers and DevOps engineers to maintain and scale their containerized applications.

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