AI Analysis
Final verdict: SUSPICIOUS
The package shows no direct signs of malicious activity but has incomplete author metadata and is the sole package from its author, raising concerns about potential supply-chain risks.
- Incomplete author metadata
- Single package from author
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 the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The author's information is incomplete, and they have only one package, which may indicate a less established or potentially suspicious account.
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 (288 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_validatorSmall 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 shortAuthor "" 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-sso
Create a Python-based CLI tool named 'SSOHealthChecker' that leverages the 'aws-resource-validator-sso' package to validate and monitor AWS Single Sign-On (SSO) resources. This tool should provide users with a simple yet powerful way to ensure their AWS SSO configurations are healthy and compliant with best practices. Here’s a detailed breakdown of what the application should achieve: 1. **Authentication**: Implement a secure method for users to authenticate using AWS SSO credentials. This will involve leveraging the 'aws-resource-validator-sso' package to handle the validation of these credentials. 2. **Resource Validation**: Utilize the Pydantic v2 models provided by 'aws-resource-validator-sso' to validate various AWS SSO resources such as applications, permissions sets, and accounts. The tool should be able to fetch these resources from AWS SSO and then validate them against predefined schemas. 3. **Health Checks**: Extend the functionality to include health checks for each resource type. For instance, check if an application is correctly associated with a permission set, or if a permission set has the necessary policies attached. 4. **Reporting**: Develop a feature that generates comprehensive reports based on the validation results. These reports should highlight any issues found during the validation process and suggest remediation steps where possible. 5. **Scheduled Tasks**: Allow users to schedule periodic health checks through a cron-like interface within the CLI. Users should be able to specify intervals at which they want the health checks to run. 6. **Logging and Alerts**: Integrate logging to track the execution of health checks and report outcomes. Additionally, implement alerting mechanisms (e.g., email notifications) for critical issues detected during the validation process. 7. **User Interface**: While primarily a CLI tool, consider adding basic help documentation and usage examples within the CLI itself. Optionally, explore the possibility of extending the tool to have a web-based interface for more complex use cases. By following these guidelines, you'll create a valuable tool that not only validates but also monitors AWS SSO configurations, ensuring they remain healthy and compliant over time.
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