AI Analysis
Final verdict: SUSPICIOUS
The package shows no immediate signs of malicious activity but has some metadata concerns, including incomplete author information and a single associated package, which raises suspicion.
- Incomplete author information
- Single package by the author
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution detected, reducing the risk of command injection or system compromise.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The author's information is incomplete and they have only one package, which could indicate a less established or potentially suspicious account.
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 (285 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_validatorSmall 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 shortAuthor "" 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-s3
Create a Python-based command-line utility named 'S3BucketHealthChecker' that leverages the 'aws-resource-validator-s3' package to validate and report on the health and compliance of S3 buckets within an AWS account. This utility should allow users to input their AWS credentials securely, select specific S3 buckets, or check all buckets within their account. The app will then validate each bucket against predefined criteria using Pydantic models from 'aws-resource-version-s3'. These criteria could include checks for public access, encryption status, versioning, lifecycle policies, and server-side encryption settings. After validation, the utility should generate a comprehensive report detailing any issues found and suggestions for remediation. Additionally, implement an option to automatically apply certain corrective actions based on user preference. Ensure the application is well-documented, user-friendly, and includes error handling for common issues like invalid credentials or missing permissions. Utilize the 'aws-resource-validator-s3' package to ensure the integrity and accuracy of the validation process, making use of its Pydantic models to structure and validate the data retrieved from AWS.
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