Wand

v0.7.1 safe
4.0
Medium Risk

Ctypes-based simple MagickWand API binding for Python

πŸ€– AI Analysis

Final verdict: SAFE

The package Wand v0.7.1 is deemed safe with low risks across all categories except for obfuscation and metadata, where it scores moderately due to potential obfuscation techniques and non-secure documentation links.

  • Moderate obfuscation risk
  • Non-HTTPS links in documentation
Per-check LLM notes
  • Network: No network calls detected, which is normal and not indicative of malicious activity.
  • Shell: Use of os.system and os.popen suggests interactive operations but without clear malicious intent; however, direct execution of shell commands can be risky.
  • Obfuscation: The code snippet suggests an attempt to dynamically import a module, which could be obfuscation but may also serve a legitimate purpose.
  • Credentials: No clear evidence of credential harvesting patterns.
  • Metadata: The package has no typosquatting candidates and no suspicious git repository flags. However, the maintainer has only one package, which could indicate a new or less active account, and there are non-HTTPS links in the documentation.

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • f theme is not there try: __import__('flask_theme_support') except ImportError: print('-' * 74) print('Warning:
⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • e.save(filename=path) os.system(('start ' if system == 'Windows' else 'open ') + path) e
  • mac_pkgmgrs: with os.popen('which ' + pkgmgr) as f: if f.read().strip()
βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: emcconville.com>

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://wand-py.org/
  • Non-HTTPS external link: http://stackoverflow.com/questions/tagged/wand
βœ“ Git Repository History

Repository emcconville/wand appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Hong Minhee" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with Wand
Create a Python-based image processing mini-application called 'MagicImageEditor' using the Wand package. This application will allow users to perform various image manipulations such as resizing images, applying filters, cropping, and converting images into different formats. Here’s a detailed step-by-step guide on how to implement this project:

1. **Setup**: Install Wand via pip (`pip install Wand`). Ensure ImageMagick is installed on your system since Wand relies on it.
2. **User Interface**: Develop a basic command-line interface (CLI) where users can input commands and parameters to manipulate their images.
3. **Core Features**:
   - **Resizing**: Allow users to resize images to specific dimensions or scale them proportionally.
   - **Filtering**: Implement common image filters like grayscale, sepia, and blur.
   - **Cropping**: Enable cropping of images based on user-specified coordinates.
   - **Format Conversion**: Provide options to convert images between supported formats.
4. **Advanced Features**:
   - **Batch Processing**: Add functionality to process multiple images at once.
   - **Custom Filters**: Allow users to define their own custom filters.
5. **Integration of Wand Package**: Utilize Wand’s MagickWand API to handle all image operations efficiently. For example, use `wand.image.Image` class to load images, apply transformations using methods like `.resize()`, `.transform()`, etc., and save processed images back to disk.
6. **Testing**: Write tests to ensure each feature works as expected under various scenarios.
7. **Documentation**: Prepare comprehensive documentation explaining how to install, configure, and use MagicImageEditor effectively.

By completing this project, you’ll gain hands-on experience with the Wand package and understand how to leverage Python for complex image processing tasks.