AI Analysis
Final verdict: SAFE
The package shows minimal risks across all categories, with no detected network calls, shell executions, or obfuscations. It is developed by Amazon Web Services, which further reduces suspicion.
- Low metadata risk due to association with AWS
- No detected network calls or shell executions
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.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
- Metadata: The author has a single package and is associated with Amazon Web Services, which reduces the likelihood of malicious intent.
Package Quality Overall: Medium (5.0/10)
○ 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 (875 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
Classifier: Typing :: Typed
✦ High
Multiple Contributors
10.0
Active multi-contributor project
5 unique contributor(s) across 100 commits in cdklabs/awscdk-asset-awscliActive community — 5 or more distinct contributors
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
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository cdklabs/awscdk-asset-awscli appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Amazon Web Services<[email protected]>" 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-cdk.asset-awscli-v2
Create a fully-functional mini-application that automates the deployment of AWS Lambda functions using the AWS CDK and leverages the 'aws-cdk.asset-awscli-v2' package to include the AWS CLI within your Lambda layers. This will allow you to execute AWS CLI commands from within your Lambda functions, enabling you to manage other AWS services directly from your code. Here’s a step-by-step guide on how to build this application: 1. **Setup Your Development Environment**: Ensure you have Python installed along with the AWS CDK. Install the 'aws-cdk.asset-awscli-v2' package via pip. 2. **Project Structure**: Design a clean project structure with separate directories for source code, assets, and configuration files. 3. **Define Your AWS CDK Stack**: Use constructs like `aws_cdk.aws_lambda.Function` and `aws_cdk.aws_iam.PolicyStatement` to define your Lambda function and its permissions. Include the 'aws-cdk.asset-awscli-v2' asset in your Lambda layer to bundle the AWS CLI with your function. 4. **AWS CLI Integration**: Write a handler script for your Lambda function that uses the AWS CLI to interact with another AWS service, such as S3 or DynamoDB. Test this functionality locally before deploying. 5. **Deployment Automation**: Implement CI/CD pipelines using tools like GitHub Actions or AWS CodePipeline to automate the deployment process. Ensure the pipeline builds your AWS CDK stack and deploys it to your target environment. 6. **Monitoring and Logging**: Integrate CloudWatch Logs to monitor and log all activities performed by your Lambda function through the AWS CLI. 7. **Security Considerations**: Discuss and implement security best practices, such as limiting IAM permissions and rotating access keys. 8. **Documentation**: Provide comprehensive documentation on how to set up and run your application, including any necessary setup steps, configuration details, and usage examples. Suggested Features: - Allow users to specify which AWS CLI command they want to execute from their Lambda function. - Implement error handling for AWS CLI commands executed from within Lambda. - Offer a way to pass parameters to AWS CLI commands via the Lambda event payload. - Provide a simple UI or API endpoint to trigger the Lambda function and display results. By following these steps and incorporating the 'aws-cdk.asset-awscli-v2' package effectively, you’ll create a powerful tool for managing AWS resources directly from your serverless applications.
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