AI Analysis
The package appears benign based on the lack of network calls, shell executions, and obfuscation. However, the incomplete author details and new/inactive account suggest potential issues that warrant further investigation.
- Incomplete author details
- New or inactive account
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on local validation without external API interactions.
- Shell: No shell execution patterns detected, aligning with expectations for a pure Python utility.
- Obfuscation: No obfuscation patterns detected, suggesting legitimate use without risk of code obfuscation for malicious purposes.
- Credentials: No credential harvesting patterns detected, indicating no suspicious activity related to stealing secrets or credentials.
- Metadata: The author 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)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (309 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validatorSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository CoreOxide/aws_resource_validator appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a command-line tool named 'ECR Public Inspector' that leverages the 'aws-resource-validator-ecr-public' package to validate and inspect public repositories within Amazon ECR (Elastic Container Registry). This tool will serve as a utility for Docker users and DevOps teams to ensure compliance and security of their public container images. The application should perform the following actions: 1. Authenticate with AWS ECR Public using provided credentials (access key ID and secret access key). 2. List all public repositories within a specified registry or across all registries. 3. Validate each repository against predefined criteria such as image tag format, image count, last update time, and whether the repository is publicly accessible. 4. Provide a summary report detailing any non-compliant repositories, including specific reasons for non-compliance. 5. Optionally, allow users to set custom validation rules through configuration files or command-line arguments. 6. Implement logging and error handling to ensure the application runs smoothly even when encountering unexpected issues. 7. Use the 'aws-resource-validator-ecr-public' package to define and validate the structure of the AWS ECR Public resources being inspected. For example, use the package's Pydantic models to ensure that the inputs for authentication and repository listing are correctly formatted before making API calls. Suggested Features: - Support for multiple regions. - Ability to filter repositories based on tags or names. - Detailed logs of all actions performed during execution. - Option to output results in different formats (JSON, CSV). - Interactive mode where users can choose which repositories to inspect post-authentication. The goal is to create a robust, user-friendly tool that simplifies the process of auditing public Docker repositories hosted on AWS ECR.
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