AI Analysis
The package poses minimal risk with no network calls, shell executions, or credential harvesting attempts. The slight increase in metadata risk due to the maintainer's account status does not strongly suggest malicious activity.
- Low network and shell execution risks
- No evidence of credential harvesting
- Maintainer's account status raises minor concerns
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive account and lacks detailed author information, which raises some suspicion but not enough to conclusively indicate malicious intent.
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 (372 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
Develop a Python-based CLI tool that helps system administrators validate the configuration of AWS Route53 Recovery Control Config resources using the 'aws-resource-validator-route53-recovery-control-config' package. This tool will allow users to input their AWS credentials securely, select specific Route53 Recovery Control Config resources they wish to validate, and then perform a series of checks on those resources to ensure they meet certain best practices and compliance standards. The tool should include the following functionalities: 1. Securely handle AWS credentials through environment variables or AWS CLI profile selection. 2. List all available Route53 Recovery Control Config resources under a user's account. 3. Allow users to select specific resources for validation. 4. Validate selected resources against predefined rules such as ensuring all control panels have at least two redundant controls, verifying the health of safety rules, and checking for any outdated configurations. 5. Provide a summary report detailing the status of each resource, including whether it passed or failed validation, and provide recommendations for any issues found. 6. Optionally, the tool could integrate with AWS CloudWatch to log validation results and alert users if critical issues are detected. To achieve these functionalities, you'll need to utilize the 'aws-resource-validator-route53-recovery-control-config' package to define and validate your Route53 Recovery Control Config resources. Specifically, leverage its Pydantic v2 models to create structured representations of your AWS resources, which can then be validated against your custom rules. Additionally, consider using the Boto3 library to interact with AWS services and retrieve information about your Route53 Recovery Control Config resources.
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