AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity and appears to be designed for use within AWS services. It has low risk scores across all categories.
- No network calls detected
- No shell execution patterns detected
Per-check LLM notes
- Network: No network calls detected, which is normal if the package is designed to operate within AWS services without external communication.
- Shell: No shell execution patterns detected, consistent with a package focused on AWS constructs rather than system-level operations.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package, suggesting it might be new or less active, but no other red flags are present.
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-constructsActive 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-fargate-ssmstringparameter
Develop a fully functional mini-application that automates the deployment of a web service using AWS Fargate and integrates it with AWS Systems Manager Parameter Store for secure parameter management. Your application should consist of a simple Flask web server that serves as a 'Hello World' endpoint, but with the twist of retrieving a secret key from the AWS SSM Parameter Store and displaying it on the web page.
### Project Overview:
1. **Setup Environment**: Ensure you have the necessary AWS CLI and AWS CDK installed along with the required Python packages including `aws-solutions-constructs.aws-fargate-ssmstringparameter`.
2. **Create Flask Application**: Develop a basic Flask application that will serve a 'Hello World!' message on the root URL ('/'). Additionally, modify this application to fetch a secret key from the AWS SSM Parameter Store and display it on a specific route ('/secret').
3. **Deploy with AWS CDK**: Use the `aws-solutions-constructs.aws-fargate-ssmstringparameter` package to deploy your Flask application on AWS Fargate. This construct will help manage the integration between your Fargate task and the SSM Parameter Store, ensuring that your Flask app can securely retrieve parameters at runtime.
4. **Parameter Management**: Before deploying the application, create a parameter in the AWS SSM Parameter Store named `MySecretKey` with a string value. This parameter will be used by your Flask application to demonstrate the retrieval process.
5. **Testing**: After deployment, test your application to ensure that the 'Hello World!' message is displayed correctly on the root URL and that the secret key is retrieved and displayed on the '/secret' route without exposing sensitive information in your code.
6. **Documentation**: Write a short documentation guide explaining each step of your deployment process, including setting up the environment, creating the Flask app, deploying with AWS CDK, and testing the application.
### Features:
- Securely retrieve secrets from AWS SSM Parameter Store during runtime.
- Deploy a simple web application using AWS Fargate.
- Demonstrate the use of AWS CDK constructs for seamless integration.
- Provide a real-world example of using AWS services together for application deployment and security.
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