AI Analysis
Final verdict: SUSPICIOUS
While the package does not exhibit typical signs of malicious activity such as shell execution or credential harvesting, the metadata suggests a lack of maintenance and effort from the maintainer, which raises suspicion.
- Metadata risk indicates low maintainer effort and history
- No clear malicious activities detected
Per-check LLM notes
- Network: Network calls are likely used for fetching remote YAML files, which is reasonable for a package named 'ReadTheYAML'.
- Shell: No shell execution patterns were detected, indicating low risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Package shows low effort and lack of maintainer history, but no clear malicious intent.
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
t requests resp = requests.get(ref, timeout=10) resp.raise_for_status()requests response = requests.get(source, timeout=10) response.raise_for_status()
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: ulaval.ca>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with ReadTheYAML
Create a configuration management tool called 'ConfigGuardian' using Python. This tool will utilize the 'ReadTheYAML' package to validate and document YAML configuration files, ensuring they adhere to predefined schemas and providing comprehensive documentation for each configuration file. The goal is to streamline the process of managing configurations across different environments (development, testing, production) while reducing human error. ### Project Steps: 1. **Setup Environment**: Install Python and necessary packages including 'ReadTheYAML'. 2. **Define Schemas**: Create YAML schemas for different types of configurations (e.g., database connections, server settings). 3. **Validate Configurations**: Implement a function that takes a YAML configuration file as input and validates it against defined schemas using 'ReadTheYAML'. This should include checking for required fields, data types, and any custom validations. 4. **Document Configurations**: After validation, generate a markdown document that describes each field in the configuration file, its purpose, and any constraints. This document should be easily readable and serve as a quick reference guide. 5. **Environment-Specific Configurations**: Allow users to specify which environment a configuration file is intended for (e.g., development, testing, production). The tool should automatically apply relevant validations based on the specified environment. 6. **Error Reporting**: If a configuration file fails validation, provide detailed error messages explaining why it failed. 7. **Integration with CI/CD Pipelines**: Provide an option to integrate ConfigGuardian with CI/CD pipelines to ensure configurations are always valid before deploying applications. ### Suggested Features: - Support for multiple configuration files per schema. - Ability to define custom validators beyond basic type checks. - Option to automatically generate default configuration files based on schemas. - User-friendly CLI interface for easy interaction. - Extensive logging and reporting capabilities. ### Utilization of 'ReadTheYAML': - Use 'ReadTheYAML' to parse and validate YAML files according to defined schemas. - Leverage 'ReadTheYAML' documentation generation features to create detailed configuration guides. - Ensure all custom validations and error reporting are seamlessly integrated with 'ReadTheYAML' functionalities. This project aims to simplify configuration management and improve the reliability of applications through robust configuration validation and documentation.