aws-resource-validator-cloudwatch

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of malicious activity based on current checks but has a missing maintainer's author name and appears to be from a potentially new or inactive account, raising concerns about its legitimacy.

  • Missing maintainer's author name
  • Account appears new or inactive
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 does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author name is missing and the account seems new or inactive, which could indicate potential risk.

📦 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-cloudwatch 
Create a Python-based monitoring tool called 'CloudWatchGuard' that leverages the 'aws-resource-validator-cloudwatch' package to validate and monitor AWS CloudWatch resources efficiently. This tool should help system administrators and DevOps engineers ensure their CloudWatch configurations adhere to best practices and detect any anomalies or issues promptly.

Step 1: Set up your development environment with Python 3.8+ and install the required packages, including 'aws-resource-validator-cloudwatch'.

Step 2: Define a class structure using the Pydantic v2 models provided by 'aws-resource-validator-cloudwatch' to represent different types of CloudWatch resources such as alarms, dashboards, and log groups.

Step 3: Implement a function that connects to your AWS account via the Boto3 SDK and retrieves the current state of these CloudWatch resources.

Step 4: Develop a validation routine that checks each resource against predefined rules and best practices. For example, ensure that all alarms have at least one action associated with them and that no sensitive data is logged publicly.

Step 5: Integrate a reporting feature that generates a detailed report summarizing the findings from the validation process. This report should include any non-compliant resources along with suggestions for remediation.

Suggested Features:
- Real-time monitoring of CloudWatch metrics through API calls.
- Automated periodic checks for compliance with configurable intervals.
- Integration with Slack or email notifications for critical alerts.
- A user-friendly command-line interface for easy interaction.

The 'aws-resource-validator-cloudwatch' package will primarily be used to define and validate the structure of CloudWatch resources based on Pydantic models, ensuring that any configuration retrieved from AWS matches expected standards and patterns.

💬 Discussion Feed

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