aws-resource-validator-signin

v2.0.3 suspicious
5.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low individual risks across various categories, but the incomplete metadata and potential inactivity of the author raise concerns about its legitimacy and trustworthiness.

  • Incomplete author details
  • Potential inactivity of the author
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 of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting the package is not attempting to steal secrets or credentials.
  • Metadata: The author's details are incomplete, and they appear to be new or inactive, which raises some suspicion but not enough to conclusively determine 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-signin 
Your task is to create a simple yet powerful command-line utility called 'AWS Signin Validator' using Python. This tool will streamline the process of validating user credentials against AWS services, ensuring they have access to necessary resources before performing critical operations. Your application should leverage the 'aws-resource-validator-signin' package, which provides Pydantic v2 models specifically designed for AWS signin processes.

Here's a detailed breakdown of what your application should achieve:
1. **User Authentication**: Allow users to input their AWS access key ID and secret access key securely. Use the 'aws-resource-validator-signin' package to validate these credentials against AWS's authentication API.
2. **Resource Validation**: After successful authentication, the tool should check if the user has access to specific AWS resources such as S3 buckets, EC2 instances, or RDS databases. This involves querying the AWS IAM service to verify permissions.
3. **Reporting**: Provide a comprehensive report detailing the status of each resource validation attempt. Include both successful and failed attempts along with reasons for failure if applicable.
4. **Security Measures**: Implement best practices for handling sensitive information like AWS keys. Ensure all communications with AWS APIs are secure.
5. **Customization Options**: Allow users to customize which resources to validate and specify additional parameters such as regions or resource ARNs.
6. **Error Handling**: Gracefully handle common errors like invalid credentials, network issues, or timeouts.
7. **Logging**: Maintain logs of all actions performed by the tool for auditing purposes.

To accomplish these tasks, you'll need to:
- Utilize the 'aws-resource-validator-signin' package to manage AWS signin models effectively.
- Integrate with AWS SDKs or APIs for authenticating users and validating resource access.
- Design a clean and user-friendly command-line interface.
- Ensure the application is well-documented and includes instructions for installation and usage.

💬 Discussion Feed

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