AI Analysis
Final verdict: SUSPICIOUS
The package exhibits moderate risk due to potential obfuscation practices and low maintainer activity. While it does not directly execute shell commands or make network calls, the use of base64 encoding for keys and data raises suspicion.
- Potential obfuscation through base64 encoding
- Low maintainer activity and suspicious author details
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package is designed to communicate with external services.
- Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
- Obfuscation: The usage of base64 decoding for key and data suggests potential obfuscation but could also be legitimate encryption handling.
- Credentials: No clear patterns indicative of credential harvesting were found.
- Metadata: The package shows low maintenance and suspicious author details, raising concerns but not definitive proof of malintent.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 4.0
Found 2 obfuscation pattern(s)
self._master_key = base64.b64decode(env_key) except Exception as e: raise Matry: data = base64.b64decode(encrypted) iv = data[:12] ciphertext
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: ghrah.org>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 agentconf
Your task is to create a fully-functional mini-application that serves as a versatile configuration manager for various types of applications. This application will utilize the 'agentconf' Python package, which is designed to handle multiple configuration models efficiently. Your application should be capable of managing configurations across different environments such as development, testing, and production, and it should support both local file storage and remote database storage for configurations. Step 1: Define the application's structure and core functionalities. The application should allow users to: - Load configurations from files (JSON, YAML) or databases (SQLite, PostgreSQL). - Store configurations in a structured manner, allowing easy access and modification. - Switch between different environment-specific configurations seamlessly. - Backup and restore configurations. Step 2: Implement the application using 'agentconf'. Use 'agentconf' to manage the loading, storing, switching, and backing up of configurations. Make sure to leverage its multi-model capabilities to support various data sources and formats. Step 3: Add additional features to enhance usability and flexibility: - Provide a command-line interface for basic operations like viewing, modifying, and switching configurations. - Integrate a simple GUI for more interactive configuration management. - Include logging for all configuration changes to track modifications. - Support versioning of configurations to revert to previous states if needed. Step 4: Test the application thoroughly under different scenarios to ensure reliability and robustness. Consider edge cases where configurations might be corrupted or inaccessible. Remember to document your code well and provide clear instructions on how to install and use the application. The goal is to create a tool that simplifies the process of managing configurations for developers and system administrators alike.