aws-resource-validator-synthetics

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network, shell, and obfuscation activities. However, the incomplete author details and new/inactive account metadata raise some suspicion.

  • Incomplete author details
  • New or inactive account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • 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 details are incomplete 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 (309 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-synthetics 
Develop a small-scale application named 'SyntheticsHealthChecker' that leverages the 'aws-resource-validator-synthetics' package to validate and monitor synthetic monitoring resources (like canaries) in an AWS environment. This tool will serve as a robust health checker for synthetic monitoring solutions, ensuring they are correctly configured and functioning as expected. The application should have the following functionalities:

1. **Resource Validation**: Implement a feature that uses the Pydantic models from 'aws-resource-validator-synthetics' to validate the configuration of AWS Synthetics canaries. This includes checking parameters like runtime version, execution role, schedule expression, and others against predefined schemas to ensure they meet best practices.

2. **Health Monitoring**: Create a module within the app that periodically checks the health status of each validated canary. This could involve querying AWS services for the latest execution results and comparing them against expected outcomes.

3. **Alerting Mechanism**: Integrate an alerting system into the application which triggers notifications (via email, SMS, or Slack) whenever a canary fails to execute successfully or does not meet its performance criteria.

4. **Report Generation**: Develop a reporting feature that generates comprehensive reports on the status of all monitored canaries, including any alerts or issues identified during health checks. These reports should be easily readable and customizable.

5. **User Interface**: While primarily a CLI tool, consider adding a basic web interface using Flask or Django to allow users to interact with the application more intuitively. This interface should provide real-time updates on canary statuses and allow users to view reports and configure alert thresholds.

The 'aws-resource-validator-synthetics' package will be crucial in ensuring that the configurations provided by users for their canaries adhere to best practices and standards. By utilizing this package, you'll be able to automate the validation process, reducing the likelihood of misconfigurations that could lead to failed or unreliable canary executions.

💬 Discussion Feed

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