aws-resource-validator-cloud9

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS cloud9, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity such as network calls, shell execution, or credential harvesting. However, the metadata risk score is elevated due to the maintainer's account status and lack of detailed author information, raising concerns about potential supply-chain risks.

  • No network calls or shell executions detected
  • Maintainer has a new or inactive account with insufficient author information
Per-check LLM notes
  • Network: No network calls detected, which is expected if the package does not require internet access or interaction with external services.
  • Shell: No shell execution patterns detected, indicating that the package likely does not execute system commands which could pose a risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks author information, raising some suspicion but not conclusive 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 (297 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-cloud9 
Your task is to develop a utility tool named 'Cloud9ResourceChecker' using Python that leverages the 'aws-resource-validator-cloud9' package to validate AWS Cloud9 resources. This tool will help users ensure their Cloud9 environments and configurations adhere to best practices and standards. Here’s a step-by-step guide on what your application should accomplish and how it should be structured:

1. **Setup**: Begin by installing the necessary packages, including 'aws-resource-validator-cloud9'. Ensure you have access to an AWS account and Cloud9 environment to test your application.

2. **Configuration**: Allow users to input their AWS credentials securely. Consider using the Boto3 library to manage AWS services and authenticate requests.

3. **Resource Validation**: Utilize the 'aws-resource-validator-cloud9' package to define validation rules for various Cloud9 resources such as environments, IDE settings, and permissions. Implement these rules to check if a given resource configuration is valid according to predefined criteria.

4. **Report Generation**: After validation, generate a comprehensive report detailing any issues found during the validation process. This report should include suggestions for remediation where applicable.

5. **Interactive CLI Interface**: Develop an interactive command-line interface (CLI) for users to easily interact with the tool. Commands could include validating a specific resource, generating reports, and viewing usage instructions.

6. **Testing**: Rigorously test your application with different Cloud9 configurations to ensure it accurately identifies potential issues and provides useful feedback.

7. **Documentation**: Write clear documentation explaining how to use 'Cloud9ResourceChecker', including setup instructions, usage examples, and troubleshooting tips.

In summary, your application should enable users to validate their AWS Cloud9 resources efficiently, ensuring they meet specified standards and best practices.

💬 Discussion Feed

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