AI Analysis
The package shows no signs of malicious behavior, with very low scores across all risk categories. The metadata risk is slightly elevated due to the author's limited number of packages, but this alone does not indicate any malicious intent.
- No network, shell execution, or obfuscation risks detected.
- Low credential risk.
Per-check LLM notes
- Network: No network calls detected, which is normal for packages not requiring real-time AWS interactions during installation.
- Shell: No shell execution patterns detected, aligning with the expectation for a pure Python package.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting legitimate usage without security risks.
- Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed
Active multi-contributor project
6 unique contributor(s) across 100 commits in awslabs/aws-solutions-constructsActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository awslabs/aws-solutions-constructs appears legitimate
1 maintainer concern(s) found
Author "Amazon Web Services" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application that integrates AWS CloudFront with AWS API Gateway using the 'aws-solutions-constructs.aws-cloudfront-apigateway' Python package. This application will serve as a simple content delivery network (CDN) with an API endpoint for managing the content. Step 1: Set up your development environment with Python, AWS CDK, and the required AWS SDKs. Step 2: Define the application's architecture: - Use AWS CloudFront as the CDN to deliver static content. - Utilize AWS API Gateway to expose RESTful APIs for CRUD operations on the static content. - Implement AWS Lambda functions to handle the business logic of the API calls. Step 3: Utilize the 'aws-solutions-constructs.aws-cloudfront-apigateway' package to streamline the creation of CloudFront distribution and API Gateway integration. Suggested Features: - Create an API endpoint to upload new static content. - Provide endpoints to list all available content, retrieve specific content, update existing content, and delete content. - Ensure that the static content served through CloudFront is cached efficiently. - Implement security measures such as API key validation and request signing for the API Gateway endpoints. - Monitor the performance and usage of both CloudFront and API Gateway through AWS CloudWatch. How to Utilize the Package: - Use the provided constructs from the 'aws-solutions-constructs.aws-cloudfront-apigateway' package to automatically configure CloudFront origins pointing to API Gateway endpoints. - Leverage the constructs to set up caching behaviors and error handling within CloudFront. - Take advantage of the package's built-in support for custom domain names and SSL certificates for secure content delivery.
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