artificial-terrains

v0.18 suspicious
4.0
Medium Risk

Modular, extensible terrain generation library

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score primarily due to its obfuscation techniques and uncertain maintenance status, raising concerns about its integrity and purpose.

  • High obfuscation risk due to the use of eval with restricted builtins
  • Unclear author details and maintenance history
Per-check LLM notes
  • Network: No network calls detected, which is low risk.
  • Shell: The shell execution appears to be listing installed packages, which could be for dependency verification but requires further context to determine intent.
  • Obfuscation: The use of eval with restricted builtins suggests an attempt to obfuscate code execution, which is risky and often used in malicious contexts.
  • Credentials: No clear patterns for harvesting credentials or secrets were detected.
  • Metadata: Low risk due to lack of suspicious activities, but concerns about author details and package maintenance suggest potential low effort or newness.

📦 Package Quality Overall: Low (4.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_terrain_module.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (25500 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 15 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in erikwallin86/artificial_terrains
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 5 obfuscation pattern(s)

  • ssion heights_array = eval(expression, {"__builtins__": {}}, safe_locals) terr
  • '=') values = eval(expression) self.n_loops = len(values)
  • arg_dict[key] = eval(value) except NameError: arg_dict[key] =
  • tuple_pair_list.append((key, eval(value))) except NameError: tuple
  • = match.groups() params = eval(f"({params_str})") # Make sure params is a tuple if
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • led packages result = subprocess.run([sys.executable, '-m', 'pip', 'list'],
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: umu.se>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository erikwallin86/artificial_terrains appears legitimate

⚠ 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 artificial-terrains 
Create a terrain visualization tool using the 'artificial-terrains' Python package. This tool will allow users to generate various types of terrains such as mountains, plains, valleys, and more, and visualize them in real-time. Here’s a step-by-step guide on how to build this application:

1. **Project Setup**: Start by setting up a virtual environment for your project and install the necessary packages including 'artificial-terrains'. Additionally, include a GUI library like PyQt5 or Tkinter for the user interface.

2. **Core Functionality**: Implement functions to generate different types of terrains using 'artificial-terrains'. For example, you could have options to create mountain ranges, vast plains, and deep valleys. Each type of terrain should be customizable with parameters such as elevation, size, and texture.

3. **Visualization**: Integrate a visualization component into your application that allows users to see their generated terrain in real-time. Consider using matplotlib or a similar plotting library to render the terrain data.

4. **User Interface**: Design a simple yet intuitive user interface where users can select the type of terrain they want to generate, adjust parameters, and view the result immediately. Include buttons to regenerate terrain with new settings and a display area to show the current terrain.

5. **Save & Load Options**: Add functionality to save the generated terrain data to a file and load it back into the application later. This will allow users to revisit and modify their previous creations.

6. **Documentation & Help**: Provide comprehensive documentation explaining how to use the application and what each parameter does. Also, include tooltips and help messages within the UI to assist users.

By following these steps, you'll create a versatile terrain visualization tool that leverages the power of 'artificial-terrains' to bring creativity and fun to terrain generation.

💬 Discussion Feed

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