aws-resource-validator-backup

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell, and obfuscation activities, with no signs of malicious intent in these areas. However, the metadata risk score is moderately high due to the maintainer's new or inactive account and lack of proper identification.

  • Metadata risk due to the maintainer's new or inactive account and lack of proper author name.
  • Low risk in network, shell, and obfuscation activities.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating it does not execute system commands that 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 a proper author name, raising some suspicion but not definitive 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-backup 
Create a Python-based utility named 'BackupGuard' that leverages the 'aws-resource-validator-backup' package to ensure your AWS backups are healthy and compliant. This utility will serve as a comprehensive tool for monitoring and validating the status of your AWS backup resources.

### Features:
1. **Resource Validation**: Utilize the Pydantic v2 models provided by 'aws-resource-validator-backup' to validate the configuration and compliance of AWS backup resources. This includes checking if all necessary backups are configured correctly and if they adhere to organizational policies.
2. **Health Checks**: Implement functionality to perform health checks on each backup resource. This could involve verifying the integrity of backups, ensuring backups are up-to-date, and checking for any errors or warnings.
3. **Reporting**: Develop a reporting system that generates detailed reports on the validation results and health checks. These reports should be easily readable and should highlight any issues that need immediate attention.
4. **Alerting System**: Integrate an alerting mechanism that notifies users via email or SMS when critical issues are detected during the validation process or health checks.
5. **Configuration Management**: Allow users to configure their own validation rules and thresholds through a simple configuration file. This ensures the utility can adapt to different environments and requirements.

### Steps to Build BackupGuard:
1. **Setup Project Environment**: Initialize a new Python project and install the necessary dependencies including 'aws-resource-validator-backup'.
2. **Model Integration**: Integrate the Pydantic models from 'aws-resource-validator-backup' into your project to validate AWS backup configurations.
3. **Health Check Implementation**: Write functions to perform health checks on AWS backup resources using the models from step 2.
4. **Report Generation**: Create a module responsible for generating detailed reports based on the validation and health check results.
5. **Alerting Mechanism**: Implement an alerting system that triggers notifications based on predefined conditions.
6. **User Configuration**: Design a configuration file format that allows users to customize validation rules and alert thresholds.
7. **Testing & Deployment**: Thoroughly test the utility to ensure it works as expected across various scenarios. Once tested, prepare it for deployment.

This project aims to provide a robust solution for managing and ensuring the integrity of AWS backup resources, making it easier for organizations to maintain compliance and data safety.

💬 Discussion Feed

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