AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity or obfuscation. It does not make network calls, execute shell commands, or pose a risk to credentials.
- No network calls detected
- Single package from author, no additional suspicious activities
Per-check LLM notes
- Network: No network calls detected, which is normal for a package that does not require real-time interaction with AWS services during installation.
- Shell: No shell execution patterns detected, which aligns with the expectation for a Python package focused on AWS constructs.
- Obfuscation: No obfuscation patterns detected, indicating normal and clear code practices.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The author has only one package, suggesting a new or less active account, but no other suspicious activities were flagged.
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-cognito-apigateway-lambda
Create a mini-application that allows users to securely store and retrieve notes using AWS services integrated through the 'aws-solutions-constructs.aws-cognito-apigateway-lambda' Python package. This application will serve as a simple yet robust note-taking platform where users can sign up, log in, and manage their personal notes. Here's how you'll build it: 1. **User Authentication**: Use AWS Cognito to handle user authentication. Users should be able to sign up, log in, and log out. 2. **API Gateway Integration**: Set up an AWS API Gateway to expose RESTful APIs for CRUD operations on notes. 3. **Lambda Function**: Implement a Lambda function that interacts with the API Gateway to perform actions like adding, retrieving, updating, and deleting notes. 4. **Security and Permissions**: Ensure that only authenticated users can access their own notes and not others'. 5. **Data Persistence**: Use AWS DynamoDB (or another database of your choice) to persistently store note data. 6. **Frontend Interface**: Develop a simple frontend interface using HTML/CSS/JavaScript to interact with the backend APIs. 7. **Testing**: Write tests for both the Lambda function and the API Gateway endpoints to ensure they work as expected. This project leverages the 'aws-solutions-constructs.aws-cognito-apigateway-lambda' package to streamline the setup and integration of AWS Cognito, API Gateway, and Lambda into a cohesive solution. The package simplifies the process of configuring these services, allowing developers to focus more on the business logic of the application rather than the infrastructure setup.
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