aws-resource-validator-trustedadvisor

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across network, shell, obfuscation, and credential fronts. However, the metadata risk score of 3 out of 10 due to the incomplete and possibly inactive maintainer profile adds a layer of uncertainty.

  • Incomplete maintainer profile
  • Possibly new or inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The maintainer has an incomplete profile and seems to be new or inactive, which raises some suspicion but not enough to conclusively indicate 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 (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_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-trustedadvisor 
Create a Python-based CLI tool named 'TrustedAdvisorChecker' that leverages the 'aws-resource-validator-trustedadvisor' package to validate AWS resources against Trusted Advisor checks. This tool should allow users to easily query their AWS account for specific resource types and receive detailed feedback on how well those resources adhere to best practices as recommended by AWS Trusted Advisor.

### Core Features:
- **Resource Validation**: Users can specify a type of AWS resource (e.g., EC2 instances, S3 buckets) and the tool will fetch relevant Trusted Advisor checks applicable to these resources.
- **Detailed Reports**: For each resource, provide a comprehensive report detailing the current state of compliance with Trusted Advisor recommendations. Include actionable insights for improving resource configuration.
- **Customizable Filters**: Allow users to filter results based on severity levels (e.g., critical, warning, informational).
- **Integration with AWS SDK**: Utilize the Boto3 library to interact with AWS services and retrieve resource data.
- **Output Formats**: Support multiple output formats such as JSON, CSV, and Markdown for easy consumption and integration into other tools or dashboards.

### How to Use the 'aws-resource-validator-trustedadvisor' Package:
- **Model Definitions**: Use the Pydantic models provided by 'aws-resource-validator-trustedadvisor' to define and validate the structure of Trusted Advisor check results. This ensures that the data retrieved from AWS is correctly formatted and ready for analysis.
- **Namespace Extension**: Leverage the PEP 420 namespace extension feature to seamlessly integrate the package's models into your application without conflicts with other installed packages.
- **Validation Logic**: Implement validation logic that maps AWS resource types to corresponding Trusted Advisor checks. Validate the retrieved data against these models to ensure accuracy and consistency.

### Step-by-Step Guide:
1. **Setup Project Environment**: Create a virtual environment, install necessary dependencies including 'aws-resource-validator-trustedadvisor', and set up authentication for AWS access.
2. **Define CLI Interface**: Design a user-friendly command-line interface using argparse or click library, allowing users to input resource types and configure filters.
3. **Fetch Resource Data**: Write functions to query AWS services for specific resource types and gather relevant information.
4. **Apply Trusted Advisor Checks**: Use the 'aws-resource-validator-trustedadvisor' package to apply appropriate checks and validate the gathered data.
5. **Generate Reports**: Develop logic to generate detailed reports based on the validation results, including summaries, action items, and compliance status.
6. **Implement Output Handling**: Implement functionality to export reports in different formats as specified by the user.
7. **Testing and Documentation**: Thoroughly test the application and create comprehensive documentation to guide users through setup, usage, and customization options.

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