aws-resource-validator-codeconnections

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious activity such as network calls, shell executions, or obfuscations. However, the metadata risk score is elevated due to missing maintainer information and possibly inactive account, suggesting potential supply-chain concerns.

  • Missing maintainer's author name
  • Possibly inactive or new maintainer account
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 of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The maintainer's author name is missing and the account seems new or inactive, raising some suspicion but not definitive proof of malintent.

📦 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 (324 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-codeconnections 
Create a utility named 'CodeConnectionChecker' that leverages the 'aws-resource-validator-codeconnections' package to validate AWS CodeConnections resources. This utility should allow users to input details of their AWS CodeConnections configurations, such as connection names, types, and endpoints, and then validate these configurations against predefined rules and standards using Pydantic v2 models provided by the package.

Step 1: Set up the project environment by installing the necessary Python packages, including 'aws-resource-validator-codeconnections'.

Step 2: Design a user-friendly interface where users can input their AWS CodeConnections configuration details. This could be a simple command-line interface (CLI).

Step 3: Utilize the 'aws-resource-validator-codeconnections' package to define validation rules for different aspects of the CodeConnections configurations, such as ensuring correct endpoint formats, verifying connection types, and checking for any missing or incorrectly formatted fields.

Step 4: Implement functionality within the utility to validate the user-provided configurations against the defined rules. Display clear error messages if any issues are found.

Step 5: Add additional features to enhance the utility, such as:
- Option to save validated configurations to a file for future reference.
- Ability to compare multiple configurations and highlight differences.
- Integration with AWS services for real-time validation of configurations against actual AWS resources.

The goal of this project is to provide developers and DevOps engineers with a reliable tool to ensure their AWS CodeConnections configurations are valid and adhere to best practices, thus enhancing the security and reliability of their applications.

💬 Discussion Feed

Leave a comment

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