aws-resource-validator-signer-data

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network usage, shell execution, obfuscation, and credential handling. However, the metadata risk due to the maintainer's new or inactive account with insufficient details warrants further investigation.

  • Low network, shell, obfuscation, and credential risks
  • Metadata risk due to incomplete maintainer information
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • 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 detailed author information, which raises some suspicion but does not definitively 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 (312 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-signer-data 
Develop a Python-based utility called 'AWS Signer Data Validator' which leverages the 'aws-resource-validator-signer-data' package to validate and manage AWS signer data for various resources. This utility will serve as a robust tool for developers and DevOps engineers to ensure that their AWS resources comply with specific signing requirements before deployment.

### Core Functionality:
1. **Data Validation**: Implement a feature to validate AWS signer data against predefined schemas using the pydantic models provided by 'aws-resource-validator-signer-data'. This ensures that all necessary fields are present and correctly formatted.
2. **Resource Compliance Check**: Extend the utility to check if the signer data complies with the latest AWS security standards and best practices. This includes checking for outdated signing methods, incorrect permissions, and other potential vulnerabilities.
3. **Report Generation**: Create a module that generates detailed reports on validation results and compliance checks. These reports should include any issues found, suggestions for improvements, and a summary of overall compliance status.
4. **Integration with AWS Services**: Integrate the utility with AWS services such as S3, Lambda, and EC2 to automatically fetch signer data and perform validations. This feature should allow users to specify which AWS resources to monitor and validate.
5. **User-Friendly CLI Interface**: Develop a command-line interface (CLI) for easy interaction with the utility. Users should be able to run validations, generate reports, and configure settings directly from the command line.
6. **Customizable Rules**: Allow users to define custom validation rules based on their specific needs. This could include adding new fields to the validation schema or adjusting existing ones to fit unique requirements.
7. **Real-Time Monitoring**: Implement real-time monitoring capabilities so that users receive immediate alerts when signer data fails validation or does not meet compliance standards.

### Utilizing 'aws-resource-validator-signer-data':
- Use the pydantic models provided by the package to define the structure of AWS signer data. This ensures that all data conforms to the expected format and includes all necessary fields.
- Leverage the package's functionality to perform complex validation tasks, such as checking the integrity of signatures and verifying permissions.
- Incorporate the package into the report generation process to provide detailed insights into the validation outcomes and compliance status.
- Ensure that all interactions with AWS signer data are secure and adhere to best practices by utilizing the package's built-in security features.

By following these steps and utilizing the 'aws-resource-validator-signer-data' package effectively, you will create a powerful tool that enhances security and reliability in AWS environments.

💬 Discussion Feed

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