🤖 AI Analysis

Final verdict: SAFE

The package Geode-Common v33.21.6 has a low risk score due to minimal network, shell, and obfuscation risks. While metadata suggests low maintenance efforts, there's no evidence of malicious activity or supply-chain attacks.

Low network, shell, and obfuscation risks
No signs of credential harvesting
Metadata suggests low maintenance efforts

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
Metadata: The package shows signs of low maintenance and possibly low effort, but there are no clear indicators of malicious intent.

🔬 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: geode-solutions.com>

✓ 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 short
Author "" 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 Geode-Common

Your task is to develop a mini-application called 'GeoDataAnalyzer' using the Python package 'Geode-Common'. This application will serve as a tool for analyzing geospatial data, such as points of interest, weather stations, and environmental sensors. The goal is to demonstrate the versatility and utility of the 'Geode-Common' package by integrating its core functionalities into a practical, real-world application.

Step 1: Set up your development environment with Python and install the 'Geode-Common' package. Ensure you have all necessary dependencies installed.

Step 2: Define the main functionality of GeoDataAnalyzer. It should be able to:
- Load geospatial data from various sources (CSV, JSON, etc.)
- Display basic statistics about the loaded data (e.g., number of entries, range of values)
- Perform spatial analysis on the data, such as finding the nearest point of interest to a given location
- Visualize the data on a map (using libraries like Folium or Plotly)

Step 3: Utilize 'Geode-Common' throughout the application. For example:
- Use 'Geode-Common' to validate the input data before processing it
- Implement error handling with 'Geode-Common' to manage exceptions gracefully
- Leverage 'Geode-Common' utilities for data cleaning and preprocessing
- Integrate 'Geode-Common' functions for efficient data storage and retrieval

Step 4: Enhance GeoDataAnalyzer with additional features such as:
- User interface for easy interaction
- Support for multiple data formats
- Advanced spatial queries (e.g., finding all points within a certain radius)
- Integration with external APIs for live data updates

Step 5: Document your application thoroughly, explaining how each feature works and how 'Geode-Common' is utilized. Provide examples of how users can interact with the application and interpret the results.

Remember to focus on making GeoDataAnalyzer both functional and user-friendly, while showcasing the capabilities of the 'Geode-Common' package.