aws-cdk.aws-lambda-python-alpha

v2.258.0a0 safe
2.0
Low Risk

The CDK Construct Library for AWS Lambda in Python

πŸ€– AI Analysis

Final verdict: SAFE

The package shows very low risks across all evaluated categories, with no indications of malicious activities. The metadata risk is slightly elevated due to the author's single package history, but this alone does not suggest a supply-chain attack.

  • Low network risk
  • No shell execution detected
  • No obfuscation patterns found
  • No credential harvesting detected
  • Single package by author
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network access for its functionality.
  • Shell: No shell execution patterns detected, indicating no direct system command execution within the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, which might indicate a new or less active account, but no other red flags are present.

πŸ“¦ Package Quality Overall: Medium (5.0/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (11773 chars)
β—‹ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 32 unique contributor(s) across 100 commits in aws/aws-cdk
  • Active community β€” 5 or more distinct contributors

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

No author email provided

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

Repository aws/aws-cdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Amazon Web Services" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with aws-cdk.aws-lambda-python-alpha
Create a fully-functional mini-application using the AWS CDK for deploying a Python-based AWS Lambda function. This mini-app will serve as a simple file uploader and downloader service for Amazon S3 buckets. Here’s how you can approach building this application step-by-step:

1. **Project Setup**: Initialize your project by setting up a virtual environment and installing necessary packages including `aws-cdk.aws-lambda-python-alpha`, `aws-cdk-lib`, `constructs`, and any other required dependencies.
2. **CDK Stack Definition**: Define a CDK stack that includes resources such as an S3 bucket for storing files, a Lambda function for handling file uploads and downloads, and API Gateway to expose endpoints for these operations.
3. **Lambda Function Development**: Utilize the `aws-cdk.aws-lambda-python-alpha` package to define your Lambda functions. Write Python code within the CDK construct that interacts with the S3 bucket to upload and download files based on API requests.
4. **API Gateway Integration**: Set up REST APIs in API Gateway that map to the appropriate methods of your Lambda functions. Ensure proper security measures like authentication/authorization are in place.
5. **Deployment**: Use the AWS CDK CLI to synthesize and deploy your infrastructure to AWS. Test the deployed application by uploading a file via the API and then downloading it back to ensure everything works as expected.
6. **Enhancements**: Consider adding features such as logging, error handling, versioning of uploaded files, or even implementing a UI frontend that wraps around the API endpoints.

By following these steps, you’ll create a robust, cloud-native solution for managing file storage using AWS services, leveraging the power of AWS CDK and Python.

πŸ’¬ Discussion Feed

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