OpenImageIO

v3.1.14.0 safe
3.0
Low Risk

Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risks across all categories analyzed, with no detected network calls, shell executions for malicious purposes, or obfuscation techniques. The slight increase in metadata risk due to sparse author information does not significantly elevate the overall threat level.

  • Low network and shell risk
  • No obfuscation or credential risk
  • Sparse author metadata
Per-check LLM notes
  • Network: No network calls detected, indicating low risk of data exfiltration or C2 communications.
  • Shell: Shell execution appears to be related to building documentation with Doxygen, which is not indicative of malicious activity.
  • 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 author information is sparse and the author has only one package, which could indicate a less experienced or potentially suspicious actor.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • eckpoint 2 -- rtd build") subprocess.call('echo "Calling Doxygen"', shell=True) subprocess.call(['
  • ng Doxygen"', shell=True) subprocess.call(['doxygen'], shell=True) subprocess.call('echo "Ran Doxy
  • (['doxygen'], shell=True) subprocess.call('echo "Ran Doxygen"', shell=True) #!/usr/bin/python # Copy
  • (__file__), 'bin') return subprocess.call([os.path.join(bin_dir, name)] + args) def _command_line():
  • der emulation. arch = subprocess.check_output(["uname", "-m"], text=True).strip() if arch == "x86_
  • process_uses_emulation = subprocess.check_output( ["sysctl", "-in", "sysctl.proc_translated"]
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: lists.aswf.io>

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://creativecommons.org/licenses/by/4.0/
  • Non-HTTPS external link: http://www.openimageio.org
✓ Git Repository History

Repository AcademySoftwareFoundation/OpenImageIO appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • 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 OpenImageIO 
Your task is to create a simple yet powerful image processing utility called 'ImageMagickMini' using Python and the OpenImageIO library. This utility will serve as a lightweight alternative to more complex tools like ImageMagick or GIMP, focusing on essential image manipulation tasks such as resizing, cropping, and converting between different image formats.

#### Core Features:
1. **Image Resizing**: Users should be able to specify the dimensions they want their image resized to. The utility should support both absolute and proportional resizing (maintaining the aspect ratio).
2. **Cropping**: Implement a feature that allows users to crop an image to a specific area defined by coordinates or a percentage of the original size.
3. **Format Conversion**: The utility should allow users to convert images from one format to another, supporting common formats such as JPEG, PNG, BMP, and TIFF.
4. **Batch Processing**: Extend the utility to process multiple images at once, applying the same transformations to each image in a specified directory.
5. **Preview Before Saving**: Provide a preview of the modified image before it is saved, allowing users to confirm the changes.

#### Additional Suggestions:
- Add a feature to adjust brightness, contrast, and saturation of images.
- Implement support for reading EXIF data from images and displaying it to the user.
- Allow users to save images with different quality settings for formats that support it (e.g., JPEG).
- Integrate a simple GUI interface using a library like Tkinter for better user interaction.

#### Utilization of OpenImageIO:
- Use OpenImageIO's `ImageInput` class to read images from various formats without worrying about the underlying file structure.
- Apply transformations such as resizing and cropping directly using OpenImageIO's `ImageBufAlgo` functions.
- Use `ImageOutput` class to write transformed images back into desired formats.
- Leverage OpenImageIO's ability to handle large images efficiently and its support for multi-threading to improve performance during batch processing.

#### Expected Outcome:
At the end of this project, you will have developed a robust image processing tool that not only showcases the capabilities of OpenImageIO but also provides a useful set of functionalities for everyday image editing needs.