AI Analysis
Final verdict: SUSPICIOUS
The package shows minimal risk in terms of network, shell, obfuscation, and credential usage. However, the incomplete author information and potential inactivity of the maintainer raise concerns about its legitimacy.
- Incomplete author information
- Potential inactivity of the maintainer
Per-check LLM notes
- Network: No network calls detected, which is expected for a package that likely performs local validation without external dependencies.
- Shell: No shell execution patterns detected, aligning with the expectation that this package focuses on local resource validation.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting legitimate use without risk of credential theft.
- Metadata: The author information is incomplete and the maintainer seems to be new or inactive, raising some suspicion but not conclusive evidence of 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 (321 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-iotthingsgraph
Create a mini-application called 'IoTThingsGraphValidator' that leverages the 'aws-resource-validator-iotthingsgraph' package to validate and manage IoT Things Graph resources within an AWS environment. This application should allow users to upload their AWS IoT Things Graph definitions in JSON format and then perform various validation checks on these definitions against AWS best practices and schema rules. Steps to develop the application: 1. Set up a basic Flask web server to handle HTTP requests and responses. 2. Integrate the 'aws-resource-validator-iotthingsgraph' package into your project to utilize its Pydantic v2 models for AWS IoT Things Graph resources. 3. Design a user-friendly interface where users can input or upload their IoT Things Graph definitions. 4. Implement backend logic to parse the uploaded JSON definition files and use the 'aws-resource-validator-iotthingsgraph' package to validate these definitions against AWS schemas. 5. Provide detailed feedback to the user regarding any issues found during the validation process, including suggestions on how to fix them. 6. Extend functionality by adding features such as saving validated definitions to a local database, comparing two different versions of a definition to highlight changes, or even generating reports on the health of IoT Things Graph resources over time. 7. Ensure the application is well-documented and includes instructions for setup and usage.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue