AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity and poses minimal risk. The low scores across all risk categories suggest it is safe for use.
- No network calls
- No shell executions
- No obfuscation
- No credential harvesting
Per-check LLM notes
- Network: No network call patterns detected, which is normal for a package that does not require internet access to perform its functions.
- Shell: No shell execution patterns detected, indicating the package does not execute external commands, which aligns with typical Python library behavior.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no risk of credential theft.
- Metadata: The author has only one package, which may indicate a new or less active account, but no other suspicious elements were found.
Package Quality Overall: Medium (5.0/10)
β Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
β Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (2804 chars)
β Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
β Medium
Type Annotations
5.0
Partial type annotation coverage
Classifier: Typing :: Typed
β¦ High
Multiple Contributors
10.0
Active multi-contributor project
32 unique contributor(s) across 100 commits in aws/aws-cdkActive community β 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 aws/aws-cdk 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-cdk.cloud-assembly-schema
Create a Python-based deployment manager application using the AWS CDK that leverages the 'aws-cdk.cloud-assembly-schema' package to automate the deployment of AWS resources. This application will allow users to define their infrastructure as code in YAML files, which the app will then convert into Cloud Assembly format compatible with AWS CDK. Hereβs a detailed breakdown of the project steps and features: 1. **Setup Project Environment**: Initialize a Python project and install necessary dependencies including 'aws-cdk.core', 'aws-cdk.cloud-assembly-schema', and any other required libraries. 2. **Define Infrastructure as Code (IaC)**: Develop a feature that allows users to write their AWS resource definitions in YAML format. This could include basic resources like S3 buckets, EC2 instances, and RDS databases. 3. **Convert YAML to Cloud Assembly**: Implement a module that takes the YAML input from the user, converts it into the Cloud Assembly schema format, and validates it against the schema provided by 'aws-cdk.cloud-assembly-schema'. 4. **Deployment Process**: Create a function that packages the validated Cloud Assembly and deploys it to an AWS account using the AWS CDK CLI. Ensure error handling is in place for failed deployments. 5. **User Interface**: Design a simple command-line interface (CLI) where users can interact with the application, upload their YAML files, and monitor the deployment status. 6. **Logging and Monitoring**: Integrate logging capabilities to record actions taken by the application and provide feedback on deployment statuses. 7. **Security Measures**: Include basic security checks such as validating the authenticity of the userβs AWS credentials before initiating a deployment process. By completing this project, you will gain hands-on experience with AWS CDK, Python programming, and working with Cloud Assembly schemas. Additionally, you will have built a tool that simplifies the process of deploying AWS resources defined in YAML files.
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