aws-resource-validator-data

v2.0.3 suspicious
3.0
Low Risk

Storage, databases, analytics, data movement

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network, shell execution, and obfuscation. However, the incomplete author information and limited maintainer activity raise concerns about potential supply-chain risks.

  • Incomplete author information
  • Limited maintainer activity
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages not requiring external API interactions.
  • Shell: No shell execution patterns detected, indicating no risk of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete and the maintainer has limited activity, raising some suspicion but not conclusive evidence of malicious intent.

📦 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 (240 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-data 
Create a data migration and validation tool using Python and the 'aws-resource-validator-data' package. This tool will help users migrate their data from one AWS database to another while ensuring the integrity and accuracy of the data during the process. The application should support at least three types of AWS databases: Amazon RDS, Amazon DynamoDB, and Amazon Redshift. Here’s a detailed breakdown of the requirements and features for your project:

1. **Data Migration Functionality**: Implement functionality that allows users to select a source and destination database type from the supported options (RDS, DynamoDB, Redshift). The user should be able to specify the exact databases they want to use for migration.
2. **Data Validation**: Utilize the 'aws-resource-validator-data' package to validate the data before and after migration. Ensure that the data conforms to specific schemas and rules defined by the user.
3. **Error Handling and Logging**: Integrate robust error handling mechanisms to manage any issues encountered during the migration process. Additionally, implement logging to keep track of all operations performed, including successful migrations and errors.
4. **User Interface**: Develop a simple but effective command-line interface (CLI) for interacting with the tool. Users should be able to easily input parameters and view results without needing extensive technical knowledge.
5. **Security Measures**: Implement necessary security measures such as encryption for data in transit and at rest, as well as authentication for accessing AWS resources.
6. **Documentation and Examples**: Provide comprehensive documentation and example usage scenarios to assist new users in understanding and effectively using the tool.

This project aims to streamline the process of data migration across different AWS databases while maintaining high standards of data integrity. By leveraging the capabilities of the 'aws-resource-validator-data' package, you will ensure that the migrated data remains accurate and reliable throughout the process.

💬 Discussion Feed

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