AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity based on the analysis notes provided. It does not make network calls, execute shell commands, or employ obfuscation techniques.
- No network calls
- No shell execution patterns
- No obfuscation patterns
- No credential harvesting patterns
Per-check LLM notes
- Network: No network calls detected, which is normal for many packages and does not indicate malicious activity.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands directly.
- 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 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-constructs-factories
Create a Python-based application that automates the deployment of AWS Lambda functions with various triggers using the 'aws-solutions-constructs.aws-constructs-factories' package. Your application should be able to deploy a Lambda function that is triggered by an S3 bucket event (e.g., file upload), another Lambda function triggered by a scheduled event (CloudWatch Events), and yet another Lambda function triggered by API Gateway requests. Each Lambda function should perform a simple task such as logging the event details to CloudWatch Logs. The application should include: 1. A user-friendly command-line interface (CLI) that allows users to specify the type of trigger and the name of the Lambda function they want to create. 2. Error handling for common issues like incorrect input, resource creation failures, and permissions errors. 3. Detailed logging of the deployment process to help diagnose any issues. 4. Support for deploying these resources in different AWS regions based on user input. 5. A feature to clean up all deployed resources at once. To utilize the 'aws-solutions-constructs.aws-constructs-factories' package, your application will use its factories to create individual AWS resources such as Lambda functions, S3 buckets, CloudWatch Events rules, and API Gateway endpoints. This package simplifies the creation of complex AWS architectures by abstracting away much of the boilerplate code needed to define and configure these resources. Your task is to demonstrate how to leverage this package to streamline the deployment of serverless applications with multiple triggers.
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