aws-resource-validator-route53resolver

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS route53resolver, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk indicators such as no network calls, shell executions, or obfuscations. However, the incomplete author metadata and potentially inactive account raise some concerns about its legitimacy.

  • Incomplete author metadata
  • Potentially inactive author account
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 of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The author's information is incomplete and the account seems new or inactive, raising some suspicion but not definitive evidence of 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_validator
  • Small 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 short
  • Author "" 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-route53resolver 
Create a Python-based command-line tool named 'Route53ResolverChecker' that leverages the 'aws-resource-validator-route53resolver' package to validate and audit Route 53 Resolver configurations in AWS environments. This tool will help system administrators ensure that their DNS resolution setups adhere to best practices and comply with organizational policies.

The application should perform the following core functions:
1. **Configuration Validation**: Validate Route 53 Resolver configurations against predefined schemas using Pydantic models from 'aws-resource-validator-route53resolver'. This includes checking DNS resolvers, rules, inbound and outbound endpoints, and associated VPCs.
2. **Compliance Check**: Compare the validated configurations against a set of compliance rules defined in the tool. These rules could include requirements like minimum number of DNS resolvers per region, specific VPC associations, etc.
3. **Reporting**: Generate a detailed report summarizing the validation results and compliance status. This report should highlight any non-compliant items and provide recommendations for remediation.

Suggested Features:
- Support for multiple AWS accounts and regions.
- Ability to specify custom compliance rules through a configuration file.
- Integration with AWS CLI for easy authentication and data retrieval.
- Output formats such as plain text, CSV, and JSON for reporting.
- Command-line interface with subcommands for different actions (validate, check, report).
- Interactive mode to guide users through the validation process step-by-step.

Utilization of 'aws-resource-validator-route53resolver':
- Use the Pydantic models provided by 'aws-resource-validator-route53resolver' to define the structure of Route 53 Resolver resources. This ensures that all configurations are checked against a consistent schema.
- Implement validation logic that leverages these models to parse and validate AWS Route 53 Resolver configurations retrieved via Boto3 (AWS SDK for Python).
- Utilize the compliance rules to assess each validated resource against organizational standards, marking them as compliant or non-compliant.
- Generate reports based on the validation and compliance results, utilizing the Pydantic models to format the output accurately.

💬 Discussion Feed

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