AI Analysis
Final verdict: SUSPICIOUS
The package has low individual risks, but the missing maintainer information and potential inactivity warrant further investigation.
- Maintainer's author name is missing
- Maintainer seems to be new or inactive
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 direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's author name is missing and they seem to be new or inactive, which raises some suspicion but not enough to conclude malice.
Package Quality Overall: Low (3.8/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Brief PyPI description (324 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
✦ High
Multiple Contributors
8.0
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
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
Email domain looks legitimate: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository CoreOxide/aws_resource_validator appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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-resource-validator-route53profiles
Create a command-line tool named 'Route53ProfileValidator' using Python that leverages the 'aws-resource-validator-route53profiles' package to validate Route 53 profiles. This tool should allow users to input their AWS Route 53 profile configurations in JSON format and then validate these configurations against predefined schemas provided by the package. The validation process should check for common errors such as missing required fields, incorrect data types, and invalid values. ### Key Features: 1. **Configuration Input:** Users should be able to input their Route 53 profile configuration via a JSON file or directly through the command line. 2. **Validation Output:** Upon validation, the tool should provide a clear report indicating whether the configuration is valid or not, along with specific error messages if any issues are found. 3. **Customizable Schemas:** Allow users to specify which schema from the 'aws-resource-validator-route53profiles' package they want to use for validation. 4. **Error Handling:** Implement robust error handling to manage exceptions gracefully, providing meaningful error messages to the user. 5. **Logging:** Integrate logging to capture validation activities and errors for auditing purposes. 6. **Interactive Mode:** Offer an interactive mode where users can correct their configurations based on real-time feedback from the validator. 7. **Documentation:** Provide comprehensive documentation for both developers and end-users, detailing how to install, configure, and use the tool effectively. ### Utilizing 'aws-resource-validator-route53profiles': - Use the Pydantic v2 models provided by the package to define the structure of Route 53 profile configurations. - Validate user inputs against these models to ensure compliance with AWS standards and best practices. - Leverage the package's namespace extension capabilities to dynamically load different schemas based on user input.
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