autofacemonker

v0.2.0 suspicious
4.0
Medium Risk

Automatic 3D facial template registration via MVMP + MeshMonk

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some benign risks, particularly regarding shell execution and metadata, which could suggest less established or potentially suspicious developer behavior.

  • Shell risk detected, though likely benign
  • Lack of a GitHub repository and single package from the maintainer
Per-check LLM notes
  • Network: No network calls were detected, which is generally safe.
  • Shell: The shell execution appears to be testing command-line interface help functionality, which is usually benign but should be reviewed for context.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The maintainer has only one package and lacks a GitHub repository, which may indicate a less established or potentially suspicious activity.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. test_autofacemonker.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2880 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • test_cli_help(): result = subprocess.run( [sys.executable, "-m", "autofacemonker._cli", "--he
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "gfacchi-dev" 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 autofacemonker 
Create a facial recognition mini-app using the 'autofacemonker' package in Python. This app will enable users to upload images of faces and automatically register them into a 3D facial template database using the MVMP (Multi-View Matching Process) and MeshMonk techniques provided by the package. The application should include the following features:

1. User Interface: A simple and intuitive web interface where users can upload face images.
2. Image Processing: Utilize 'autofacemonker' to process the uploaded images, converting them into 3D facial templates.
3. Database Storage: Store the generated 3D templates in a local SQLite database.
4. Template Matching: Implement a feature to match new uploaded faces against existing templates to identify previously registered faces.
5. Visualization: Display a 3D visualization of the matched face template for verification.
6. Security Measures: Ensure all user-uploaded images are stored securely and deleted after processing.

How 'autofacemonker' is utilized:
- Use 'autofacemonker' to perform the automatic 3D facial template registration from the uploaded images.
- Apply MVMP and MeshMonk functionalities provided by 'autofacemonker' to enhance the accuracy of the facial templates.
- Integrate 'autofacemonker' functions to compare new face images with the stored templates for identification purposes.

This project aims to demonstrate the power of 'autofacemonker' in real-world applications and provide a practical tool for facial recognition tasks.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!