AI Analysis
Final verdict: SAFE
The package exhibits very low risks across all evaluated categories with no indications of malicious activities or supply-chain attacks.
- No network calls detected.
- Author has only one package, indicating potential newness but no other red flags.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The author has only one package, which might indicate a new or less active account, but no other red flags were detected.
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-lambda-translate
Create a translation utility app using Python and the 'aws-solutions-constructs.aws-lambda-translate' package. This utility will enable users to upload text files containing sentences or paragraphs in one language and receive translated versions of these texts in another specified language via Amazon Translate. The app should consist of the following components: 1. A user-friendly web interface where users can select the source and target languages and upload their text file. 2. An AWS Lambda function triggered by the file upload, which reads the uploaded file, processes it through Amazon Translate, and stores the translated output in an S3 bucket. 3. Another Lambda function that generates a download link for the translated file, which is then sent back to the user through the web interface. Use the 'aws-solutions-constructs.aws-lambda-translate' package to streamline the integration between the Lambda function and Amazon Translate, ensuring efficient text translation. Additionally, consider implementing features such as: - Real-time status updates for translation progress. - Support for multiple file formats (e.g., .txt, .docx). - Error handling for invalid uploads or translation failures. - User authentication to track translation history. This project aims to demonstrate the practical use of serverless architectures for building scalable and efficient translation services.
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