aws-resource-validator-athena

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity such as network calls, shell executions, or credential harvesting. However, the metadata risk score is elevated due to sparse author details and possibly inactive or new account status, warranting further scrutiny.

  • Metadata risk score is 3 out of 10
  • Sparse author details and possibly inactive/new account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • 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 credential theft.
  • Metadata: The author's details are sparse and the account seems new or inactive, raising some suspicion but not conclusive 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-athena 
Create a Python-based command-line utility called 'AthenaQueryValidator' that leverages the 'aws-resource-validator-athena' package to validate SQL queries before they are executed against an Amazon Athena database. This tool will help prevent common errors and ensure that the queries adhere to best practices and constraints defined by the package's Pydantic models.

Step-by-Step Guide:
1. **Setup**: Initialize a new Python project and install necessary dependencies including 'aws-resource-validator-athena'.
2. **Design**: Define the structure of your CLI using a library like argparse to accept input from users, such as SQL query strings.
3. **Validation Logic**: Implement validation logic that utilizes the Pydantic models provided by 'aws-resource-validator-athena' to check the syntax and semantics of the SQL queries.
4. **Output Handling**: If the query passes validation, the tool should output a confirmation message. If it fails, provide detailed error messages explaining what went wrong.
5. **Testing**: Write unit tests to ensure the validation works correctly under various conditions, including edge cases.
6. **Documentation**: Provide clear documentation on how to use the tool, including examples of valid and invalid queries.

Suggested Features:
- Support for multiple types of SQL statements (SELECT, INSERT, UPDATE).
- Detailed error reporting with suggestions for fixing issues.
- Integration with AWS credentials management for easy authentication.
- Option to save validated queries to a file or directly execute them against an Athena database.

How 'aws-resource-validator-athena' is Utilized:
- Import Pydantic models from 'aws-resource-validator-athena' to define expected query structures.
- Use these models to validate user input against predefined schemas ensuring compliance with Athena's requirements.
- Handle exceptions and provide feedback based on the validation results.

💬 Discussion Feed

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