AI Analysis
The package shows low risk in terms of network, shell, and obfuscation activities. However, the incomplete maintainer's profile and the newness of the account raise some concerns about potential supply-chain risks.
- Incomplete maintainer profile
- New maintainer account
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has an incomplete profile and a new account with only one package, which raises some suspicion but does not conclusively indicate malice.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (288 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validatorSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository CoreOxide/aws_resource_validator appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application that validates AWS Simple Email Service (SES) resources using the 'aws-resource-validator-ses' package. This tool will help developers ensure their SES configurations adhere to best practices and are correctly set up before deployment. The application should include the following features: 1. **Resource Validation**: Implement a function that takes SES resource configurations (such as Identity, RuleSet, etc.) as input and validates them against predefined Pydantic models provided by 'aws-resource-validator-ses'. 2. **Error Reporting**: If validation fails, the application should output a user-friendly error message detailing which fields or sections of the configuration are incorrect. 3. **Configuration Loading**: Allow users to load SES resource configurations from a JSON file or directly from command-line arguments. 4. **Interactive Mode**: Provide an interactive mode where users can input individual SES resource parameters one at a time and receive real-time validation feedback. 5. **Integration with AWS CLI**: Optionally, integrate the application with the AWS Command Line Interface (CLI) so it can fetch current SES configurations from an AWS account and validate them automatically. 6. **Customizable Rules**: Allow users to extend or modify validation rules by adding custom Pydantic models based on 'aws-resource-validator-ses'. The 'aws-resource-validator-ses' package will be utilized extensively throughout the project to define and validate SES resource schemas. Ensure that the application is well-documented, with clear instructions on installation, usage, and customization.
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