GGILES

v1.1.0 suspicious
6.0
Medium Risk

The generalized graph input line entry system (GGILES) package produces sequential, string representations of graphs in a NetworkX format via depth-first graph traversal, and reproduces NetworkX graphs from the string representation. GGILES is flexible and customizable, accommodating a large range of graph types and formats.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package GGILES v1.1.0 has low risks for network, shell, and obfuscation activities but presents a higher metadata risk due to suspicious author information. This combination suggests potential supply-chain risks that warrant further investigation.

  • High metadata risk due to suspicious author details.
  • No detected network, shell, or obfuscation risks.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Suspicious activity indicates potential risk, especially with the new and short author name.

🔬 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: tudelft.nl>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Single contributor with only 3 commit(s) — possibly throwaway account

  • Single contributor with only 3 commit(s) — possibly throwaway account
  • All 3 commits happened within 24 hours
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" 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 GGILES 
Create a mini-application called 'GraphScribe' that leverages the GGILES package to facilitate the creation, manipulation, and sharing of graph data structures. This application will enable users to generate string representations of their custom graphs using GGILES's depth-first traversal method, and also allow them to reconstruct graphs from these string representations. Here’s how the application should work:

1. **Graph Creation Interface**: Users should be able to create a new graph by adding nodes and edges through a simple, interactive interface. The application should support various types of graphs including directed, undirected, weighted, and unweighted graphs.
2. **String Representation Generation**: Once a graph is created, users can request a string representation of the graph using GGILES's functionality. This string should capture all necessary information about the graph's structure and properties.
3. **Graph Reconstruction**: Provide an option for users to input a previously generated string representation of a graph and have GraphScribe reconstruct the original graph using GGILES's parsing capabilities.
4. **Visualization**: Implement a feature where the graph can be visualized graphically, allowing users to see the layout of their graph as it would appear in a traditional graph visualization tool.
5. **Export/Import Functionality**: Enable users to export the string representation of their graphs to a file or clipboard, and import such representations back into the application for reconstruction.
6. **Customization Options**: Allow customization of GGILES settings like the starting node for the depth-first traversal, and the format of the output string for added flexibility.
7. **Error Handling**: Ensure robust error handling for scenarios such as invalid input strings or incorrect graph reconstructions, providing user-friendly feedback.

This project aims to demonstrate the versatility and utility of GGILES in practical applications, showcasing its ability to seamlessly convert complex graph structures into manageable string formats and vice versa.