aws-solutions-constructs.aws-lambda-sns

v2.102.0 safe
2.0
Low Risk

CDK constructs for defining an interaction between an AWS Lambda function and an Amazon SNS topic.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity such as network calls, shell executions, or credential harvesting. The metadata risk is slightly elevated due to the author having only one package, but this alone is insufficient to indicate malicious intent.

  • No network calls
  • No shell executions
  • No credential harvesting
  • Single package from author
Per-check LLM notes
  • Network: No network calls suggest the package is not performing any external communications which is unusual but not necessarily indicative of malicious behavior for a library focused on AWS constructs.
  • Shell: No shell executions detected, indicating the package does not attempt to execute commands on the host system.
  • 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 may indicate a new or less active account but does not necessarily suggest 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-sns 
Create a simple notification system using AWS CDK and the 'aws-solutions-constructs.aws-lambda-sns' package. This system will allow users to trigger notifications via email or SMS based on certain events. Here’s a step-by-step guide on how to develop this mini-app:

1. **Project Setup**: Initialize a new Python environment and install the necessary packages including AWS CDK and 'aws-solutions-constructs.aws-lambda-sns'. Ensure your AWS credentials are configured properly.
2. **Define the Application Structure**: Create a directory structure that includes a main stack file where you will define your AWS resources.
3. **Set Up the SNS Topic**: Use the 'aws-solutions-constructs.aws-lambda-sns' package to create an SNS topic. Configure subscriptions for both email and SMS endpoints.
4. **Develop the Lambda Function**: Write a Python script for the Lambda function that will publish messages to the SNS topic when triggered. The function should accept input parameters specifying the message content and the type of event that triggers it.
5. **Integration with Event Sources**: Integrate your Lambda function with event sources such as API Gateway or S3 bucket notifications. This allows external systems to trigger notifications.
6. **Testing and Deployment**: Test your setup locally if possible, then deploy your application using AWS CDK. Verify that messages are being published correctly and that subscribers receive notifications.
7. **Monitoring and Logging**: Implement CloudWatch Logs for monitoring the activity of your Lambda function and SNS topic. Set up alerts for any errors or unusual activities.
8. **Documentation**: Document your code thoroughly, explaining each part of your application and how it fits into the overall architecture.

Suggested Features:
- Allow customization of SNS topic names and subscription types at deployment time.
- Implement a retry mechanism for failed notifications.
- Add support for filtering notifications based on specific criteria before they are sent out.
- Provide a user-friendly interface through an API Gateway to manage subscriptions and send test notifications.

💬 Discussion Feed

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