aws-resource-validator-bedrock-agentcore-control

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network, shell, and obfuscation activities. However, the incomplete author information and potential inactivity of the maintainer raise some suspicion.

  • Incomplete author information
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • 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 information is incomplete, and the author seems to be new or inactive, which raises some suspicion but does not 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 (354 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-bedrock-agentcore-control 
Create a mini-application named 'Bedrock Compliance Checker' that leverages the 'aws-resource-validator-bedrock-agentcore-control' package to ensure compliance of AWS resources with the Bedrock Agent Core Control framework. This application will serve as a tool for DevOps teams to validate their AWS resources against specific compliance checks defined within the Bedrock Agent Core Control framework.

The application should have the following functionalities:
1. **Resource Validation**: The user should be able to input details of their AWS resources (such as EC2 instances, S3 buckets, RDS databases, etc.) into the application. The application will then use the 'aws-resource-validator-bedrock-agentcore-control' package to validate these resources against the predefined compliance rules from the Bedrock Agent Core Control.
2. **Compliance Report Generation**: Upon validation, the application should generate a detailed report indicating which resources pass or fail the compliance checks. This report should include reasons for failures if any.
3. **Interactive Interface**: Provide an interactive command-line interface (CLI) where users can easily input resource details and view compliance results.
4. **Custom Rule Configuration**: Allow users to configure custom compliance rules based on their specific organizational requirements. These custom rules should also be validated using the same framework provided by 'aws-resource-validator-bedrock-agentcore-control'.
5. **Integration with AWS SDKs**: Integrate the application with the AWS SDK for Python (boto3) to automate the process of fetching resource details directly from AWS services, thus reducing manual input errors.

How to Utilize 'aws-resource-validator-bedrock-agentcore-control':
- Import necessary modules from the package to define and validate resource models against the compliance rules.
- Use Pydantic v2 model definitions provided by the package to ensure that the input resource details adhere to the expected format and comply with the specified controls.
- Implement validation logic that leverages these models to check each resource's compliance status.
- Generate reports based on the validation outcomes, utilizing the package's capabilities for structured data handling and validation.

💬 Discussion Feed

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