AI Analysis
Final verdict: SUSPICIOUS
The package has low individual risk factors but raises suspicion due to missing author information and potentially new or inactive account status.
- Missing author's name
- Account seems new or inactive
Per-check LLM notes
- Network: No network calls detected, which is normal for packages not requiring external communications.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's name is missing and the account seems new or inactive, which raises some concerns but does not strongly indicate malicious intent.
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_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-geo-maps
Create a location-based service application using the Python package 'aws-resource-validator-geo-maps'. Your application should allow users to input geographical data (e.g., city names, zip codes) and receive relevant information about nearby places or services (e.g., restaurants, hospitals). The application will use the 'aws-resource-validator-geo-maps' package to validate and parse geographical data according to AWS Geo Maps standards. Steps: 1. Set up a basic Flask web application structure. 2. Integrate the 'aws-resource-validator-geo-maps' package to handle geographical data validation. 3. Create a form where users can enter a location (city name or zip code). 4. Implement a function that takes user input, validates it against the AWS Geo Maps schema, and then queries an external API (such as Google Places API) for nearby points of interest. 5. Display the results on the web page in a user-friendly manner. 6. Add error handling for invalid inputs and API failures. 7. Optionally, add features like filtering results based on category (restaurants, hospitals, etc.), sorting by distance, or displaying results on a map. Features: - Geographical data validation using 'aws-resource-validator-geo-maps' - Integration with an external API for location-based services - User-friendly interface for inputting locations and viewing results - Error handling for invalid inputs and API issues - Optional advanced features such as filtering, sorting, and mapping
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