aws-resource-validator-cloudhsm

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in terms of network, shell, obfuscation, and credential risks. However, the metadata risk due to the maintainer's lack of information is notable, raising suspicion about the package's legitimacy.

  • Metadata risk due to missing maintainer details
  • Potential new or inactive maintainer
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 no direct system command execution by the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of credential theft.
  • Metadata: The maintainer's author name is missing or very short and appears to be new or inactive, which raises some suspicion but not enough to conclusively determine 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 (303 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-cloudhsm 
Create a utility application called 'CloudHSM HealthChecker' using Python that leverages the 'aws-resource-validator-cloudhsm' package to monitor the health and status of AWS CloudHSM clusters. This application should be designed to provide real-time alerts and detailed reports on the health of each HSM cluster, including hardware status, software version, and network connectivity.

Step 1: Set up your development environment with Python 3.8 or later, and install the necessary packages including 'aws-resource-validator-cloudhsm', 'boto3' for AWS SDK, and 'requests' for HTTP requests.

Step 2: Define the main functionalities of the application. It should include:
- A function to fetch details about all CloudHSM clusters in a specified region.
- Another function to parse these details using the 'aws-resource-validator-cloudhsm' package's models to validate the structure and content of the data returned by AWS APIs.
- A third function to analyze the parsed data and determine the overall health of each cluster based on predefined criteria (e.g., hardware status, software version).
- An alert system that sends notifications via email or Slack when a cluster's health drops below a certain threshold.

Step 3: Implement a user-friendly command-line interface (CLI) where users can specify which AWS region to check, set thresholds for health alerts, and choose their preferred notification method.

Step 4: Add a feature to generate comprehensive reports summarizing the health status of all clusters over time. These reports should be saved in CSV format for easy sharing and analysis.

Step 5: Ensure the application is secure by implementing proper AWS credentials management using IAM roles and securely handling any sensitive information.

Utilize the 'aws-resource-validator-cloudhsm' package extensively throughout the project to ensure data integrity and compliance with AWS CloudHSM API specifications. The goal is to create a robust, efficient tool that simplifies the process of monitoring and maintaining AWS CloudHSM clusters.

💬 Discussion Feed

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