aws-resource-validator-codeguru-security

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows very low risks across all assessed categories with no detected malicious activities or suspicious patterns. The only concern is the incomplete author's information.

  • No network calls detected.
  • No shell execution patterns found.
  • No obfuscation or credential harvesting detected.
  • Incomplete author's information.
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 likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete, which raises some suspicion, but there are no other red flags.

📦 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 (330 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-codeguru-security 
Develop a Python-based mini-application called 'CodeGuruSecAudit' that leverages the 'aws-resource-validator-codeguru-security' package to perform automated security audits on AWS resources using CodeGuru Security findings. The app should allow users to input their AWS resource details and receive a comprehensive security report based on CodeGuru Security findings. Here’s a detailed step-by-step guide to building this application:

1. **Setup Environment**: Begin by setting up a virtual environment for your project. Install necessary packages including 'boto3', 'aws-resource-validator-codeguru-security', and any other dependencies required for interacting with AWS services and validating resources.

2. **User Input Interface**: Create a user-friendly interface where users can input their AWS resource ARNs (Amazon Resource Names). This could be a simple command-line interface or a web form depending on the scope and complexity you wish to add to your project.

3. **Resource Validation**: Utilize the 'aws-resource-validator-codeguru-security' package to validate the provided AWS resources against the latest security best practices and guidelines defined by AWS CodeGuru Security. This involves parsing the ARNs, fetching relevant security findings from CodeGuru Security, and then applying these findings to assess the health and security posture of the resources.

4. **Security Report Generation**: Once the validation process is complete, generate a detailed security report. This report should include a summary of all findings, categorized into critical, high, medium, and low severity issues. Additionally, provide actionable recommendations to improve security based on the findings.

5. **Optional Features**:
   - **Real-time Notifications**: Implement real-time notifications via email or SMS when critical security issues are identified.
   - **Scheduled Audits**: Allow users to schedule periodic audits for their resources at regular intervals.
   - **Integration with Other Tools**: Integrate the application with other tools like AWS Lambda or SNS for triggering audits automatically under specific conditions.

6. **Testing and Deployment**: Thoroughly test the application in a development environment before deploying it to production. Ensure all features work as expected and security measures are in place to protect user data.

By following these steps and utilizing the 'aws-resource-validator-codeguru-security' package effectively, you will create a valuable tool that helps organizations maintain robust security standards for their AWS resources.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!