aws-solutions-constructs.aws-lambda-secretsmanager

v2.102.0 safe
2.0
Low Risk

CDK constructs for defining an interaction between an AWS Lambda function and AWS Secrets Manager.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of risk with no indications of malicious activities such as shell execution, obfuscation, or credential theft. The metadata risk is slightly elevated due to the author having only one package, but this alone does not suggest malicious intent.

  • Low risk across all categories
  • Metadata risk slightly elevated but not conclusive of malicious activity
Per-check LLM notes
  • Network: Expected to have network calls related to AWS services like Lambda and Secrets Manager.
  • Shell: No shell execution is expected in a typical Python package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The author has only one package, which may indicate a new or less active account but does not necessarily imply malicious intent.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Active multi-contributor project

  • 6 unique contributor(s) across 100 commits in awslabs/aws-solutions-constructs
  • Active 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 awslabs/aws-solutions-constructs 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)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aws-solutions-constructs.aws-lambda-secretsmanager 
Create a Python-based mini-application that securely retrieves and manages sensitive data using AWS Lambda and AWS Secrets Manager. Your task is to develop a utility that allows users to store, retrieve, and update secrets in AWS Secrets Manager through an AWS Lambda function. This utility will serve as a simple yet effective tool for managing credentials and other sensitive information in a secure manner. Here’s how you can structure your project:

1. **Setup Environment**: Ensure you have the necessary AWS SDKs installed, including the `aws-solutions-constructs.aws-lambda-secretsmanager` package. Use the AWS CDK (Cloud Development Kit) to define your infrastructure as code.

2. **Define the Application Scope**: The application should allow users to perform CRUD operations (Create, Read, Update, Delete) on secrets stored in AWS Secrets Manager via API calls. For simplicity, the application will accept commands from the command line interface (CLI).

3. **Implement Secret Management Functions**:
   - **Store Secret**: Allow users to create a new secret in AWS Secrets Manager. The secret could be any string of text but should be encrypted and stored securely.
   - **Retrieve Secret**: Provide functionality to fetch a secret based on its unique identifier.
   - **Update Secret**: Enable updating the value of an existing secret.
   - **Delete Secret**: Implement the ability to delete a secret from AWS Secrets Manager.

4. **Utilize aws-solutions-constructs.aws-lambda-secretsmanager**: Use this package to set up the interaction between your AWS Lambda function and AWS Secrets Manager. Specifically, leverage its constructs to define the Lambda function that interacts with Secrets Manager and ensure proper configuration for accessing Secrets Manager resources.

5. **Security Considerations**: Since this application deals with sensitive data, ensure that all interactions with AWS Secrets Manager are done over HTTPS and that the Lambda function has the appropriate IAM roles and policies to access Secrets Manager.

6. **Testing**: Write unit tests for each of the main functionalities to verify that they work as expected. Additionally, test the integration between your Lambda function and AWS Secrets Manager.

7. **Documentation**: Provide clear documentation on how to install the necessary dependencies, set up the AWS environment, and run the application. Include instructions on deploying the AWS CDK stack and invoking the Lambda functions through the CLI.

By completing this project, you'll gain hands-on experience with AWS Lambda, AWS Secrets Manager, and the AWS CDK, while also learning best practices for handling sensitive data.

💬 Discussion Feed

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