aws-resource-validator-bedrock-runtime

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of malicious activity such as network calls, shell executions, or credential harvesting. However, the metadata risk score is elevated due to sparse and potentially new/inactive author information.

  • Sparse and possibly new/inactive author information
  • No direct evidence of malicious behavior
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 no immediate risk of command injection or similar vulnerabilities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is sparse and the account seems new or inactive, raising some suspicion but not enough to conclusively indicate 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 (324 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-bedrock-runtime 
Create a Python-based utility named 'BedrockResourceChecker' that leverages the 'aws-resource-validator-bedrock-runtime' package to validate resources against AWS Bedrock Runtime specifications. This utility should be able to parse and validate resource configurations from various input sources such as JSON files or direct user inputs. Here are the steps and features to implement:

1. **Setup**: Initialize a Python environment with the necessary dependencies including 'aws-resource-validator-bedrock-runtime'. Ensure you have access to AWS Bedrock Runtime services.
2. **Input Parsing**: Develop functions to read and parse resource configurations from JSON files or raw JSON strings provided by the user.
3. **Validation Engine**: Utilize the 'aws-resource-validator-bedrock-runtime' package to define validation schemas for different types of AWS Bedrock Runtime resources. Implement a function that takes parsed resource configurations and validates them against these schemas.
4. **Feedback Mechanism**: After validation, provide detailed feedback to the user indicating whether each resource configuration is valid or not, along with any specific errors or warnings encountered during the validation process.
5. **Optional Features**:
   - Integration with AWS Bedrock Runtime API to automatically create validated resources.
   - Command-line interface for easy interaction without needing to write scripts.
   - Support for multiple resource types within a single file or input.
6. **Documentation**: Provide comprehensive documentation on how to use 'BedrockResourceChecker', including examples of valid and invalid resource configurations.
7. **Testing**: Include unit tests to ensure that your utility correctly handles both valid and invalid resource configurations, and integrates well with the 'aws-resource-validator-bedrock-runtime' package.

This project aims to simplify the process of validating AWS Bedrock Runtime resource configurations, ensuring they meet all necessary standards before deployment.

💬 Discussion Feed

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