AI Analysis
Final verdict: SUSPICIOUS
The package appears to be benign based on the absence of network calls, shell execution, obfuscation, and credential harvesting risks. However, the incomplete author information and the maintainer's single package listing raise some suspicion.
- Incomplete author information
- Maintainer has only one package listed
Per-check LLM notes
- Network: No network calls detected, which is expected for a package focused on local validation of AWS resources.
- Shell: No shell execution patterns detected, aligning with the expected behavior of a package designed for resource validation.
- Obfuscation: No obfuscation patterns detected, indicating normal code readability.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
- Metadata: The author information is incomplete and the maintainer has only one package, which may indicate a less established or potentially suspicious account.
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 (321 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-route53domains
Create a command-line utility called 'DomainValidator' that leverages the 'aws-resource-validator-route53domains' Python package to validate domain names and their associated DNS configurations against Amazon Route 53 and Route 53 Domains services. This utility will help users ensure that their domain registration and DNS settings comply with AWS best practices and standards. Step 1: Set up the Project - Initialize a new Python virtual environment and install necessary dependencies including 'aws-resource-validator-route53domains', 'boto3', and 'click'. Step 2: Define Command-Line Interface (CLI) - Use Click to define commands for validating domain names and DNS configurations. Step 3: Implement Domain Validation Functionality - Utilize 'aws-resource-validator-route53domains' to validate domain names against Route 53 and Route 53 Domains services. - Ensure the validation checks include domain availability, DNS configuration correctness, and compliance with AWS standards. Step 4: Implement DNS Configuration Validation - Validate DNS records for a given domain to ensure they are correctly configured for use with Route 53 and Route 53 Domains. - Check for proper NS, SOA, MX, CNAME, A, AAAA, TXT, and SPF record configurations. Step 5: Add Reporting and Logging - Provide detailed reports on validation results, highlighting any issues found during the validation process. - Implement logging to track validation activities and errors. Suggested Features: - Support for multiple domain validations in a single run. - Option to validate domain ownership through DNS challenge responses. - Integration with AWS IAM roles for secure access. - User-friendly CLI interface with clear prompts and output. - Optional email notifications upon completion of validation processes. How 'aws-resource-validator-route53domains' is utilized: - The package provides Pydantic v2 models that represent AWS Route 53 and Route 53 Domains resources. These models are used to validate domain names and DNS configurations against AWS service requirements. For example, you might use these models to ensure that a domain name's DNS settings match expected configurations for Route 53 hosted zones or Route 53 Domains registrations.
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