AI Analysis
Final verdict: SAFE
The package presents low risk with no signs of malicious activity, such as network calls, shell execution, or credential harvesting.
- No network calls detected.
- No shell execution patterns found.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating legitimate use.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
- Metadata: The author has only one package, which may indicate a new or less active account, but there are no other red flags.
Package Quality Overall: Medium (5.4/10)
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 (3490 chars)
β Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
β Medium
Type Annotations
7.0
Partial type annotation coverage
Classifier: Typing :: Typed19 type-annotated function signatures detected in source
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.aws-s3objectlambda-alpha
Create a mini-application that leverages the AWS S3 Object Lambda feature to dynamically transform objects stored in an Amazon S3 bucket before they are served to end-users. This application will demonstrate how to use the 'aws-cdk.aws-s3objectlambda-alpha' package to set up an S3 Object Lambda Access Point and configure it to execute a Lambda function on-demand to modify content as it's retrieved from S3. Hereβs a step-by-step guide on what your application should achieve: 1. **Setup Environment**: Ensure you have Python and AWS CDK installed. Install the required package `aws-cdk.aws-s3objectlambda-alpha` using pip. 2. **Define S3 Bucket**: Create an S3 bucket where the original files will be stored. 3. **Configure S3 Object Lambda Access Point**: Use the `aws-cdk.aws-s3objectlambda-alpha` package to define an S3 Object Lambda Access Point that points to the previously created S3 bucket. 4. **Integrate Lambda Function**: Attach a custom AWS Lambda function to the S3 Object Lambda Access Point. This Lambda function should modify the content of the objects fetched from the S3 bucket, for example, adding watermarks to images or encrypting text files. 5. **Deploy Application**: Deploy the CDK stack to AWS. This deployment will create all necessary resources including the S3 bucket, S3 Object Lambda Access Point, and the associated Lambda function. 6. **Test Functionality**: Upload a sample file to the S3 bucket. Then, access this file through the S3 Object Lambda Access Point URL and verify if the modifications made by the Lambda function are applied correctly. **Suggested Features**: - Implement different types of transformations based on file type (e.g., add watermarks to images, obfuscate sensitive data in text documents). - Include logging mechanisms within the Lambda function to track which objects were modified and when. - Provide a simple web interface or CLI tool that allows users to upload files to the S3 bucket and view them via the S3 Object Lambda Access Point. This project aims to showcase the flexibility and power of S3 Object Lambda for real-time content transformation, enhancing security and customization of data served from S3.
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