aws-resource-validator-codeartifact

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS codeartifact, 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 calls, shell execution, obfuscation, and credential handling. However, the metadata risk score is elevated due to the author's new or inactive account and lack of transparency.

  • Low risk in operational behaviors
  • Elevated metadata risk due to author's profile
Per-check LLM notes
  • Network: No network calls suggest normal behavior for a utility focused on local validation tasks.
  • Shell: No shell executions indicate the package likely does not perform system-level operations.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The author has a new or inactive account and lacks a proper name, which may indicate a lack of transparency.

📦 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 (315 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-codeartifact 
Create a Python-based utility called 'CodeArtifactChecker' that leverages the 'aws-resource-validator-codeartifact' package to validate and manage resources within AWS CodeArtifact repositories. This utility will serve as a powerful tool for developers and DevOps engineers to ensure their dependencies are correctly configured and up-to-date. Here’s a detailed breakdown of the steps and features you need to implement:

1. **Setup**: Start by setting up a virtual environment and installing necessary packages including 'aws-resource-validator-codeartifact', 'boto3' for AWS interactions, and 'typer' for command-line interface.

2. **Configuration**: Allow users to configure the utility with their AWS credentials and specify the CodeArtifact domain and repository they want to work with.

3. **Validation**: Implement a feature that validates the resources within the specified CodeArtifact repository against predefined schemas provided by 'aws-resource-validator-codeartifact'. This includes checking for correct naming conventions, permissions, and other compliance rules.

4. **Dependency Management**: Add functionality to check if all dependencies listed in a project's configuration file (e.g., requirements.txt) are available in the specified CodeArtifact repository. If not, provide suggestions on how to add them.

5. **Reporting**: Integrate a reporting system that outputs validation results and dependency status to both console and optionally, a log file.

6. **Interactive CLI**: Develop an interactive command-line interface using 'typer' where users can easily run validations, manage dependencies, and view reports without needing to write scripts.

7. **Security Enhancements**: Ensure that the utility securely handles AWS credentials and does not expose them in logs or reports.

By utilizing the 'aws-resource-validator-codeartifact' package, your utility will leverage its Pydantic v2 models to define and enforce strict resource validation criteria, ensuring that all resources in AWS CodeArtifact adhere to best practices and organizational policies.

💬 Discussion Feed

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