Imervue

v1.0.51 safe
3.0
Low Risk

GPU-accelerated image viewer with non-destructive develop, RAW/HDR/panorama support, AI upscale, XMP sidecars, and a plugin system.

πŸ€– AI Analysis

Final verdict: SAFE

The package appears to have legitimate purposes with no clear signs of malicious intent. The risks identified are minor and common in many applications.

  • Standard network calls
  • Common use of base64 decoding
  • No evidence of credential harvesting
Per-check LLM notes
  • Network: The network calls appear to be standard HTTP/HTTPS requests possibly for interacting with Twitch IRC, which seems contextually relevant but should be verified against the package's stated purpose.
  • Shell: The shell execution patterns are likely intended to open file paths using the default application, which is common behavior but could be exploited if not properly sanitized.
  • Obfuscation: Base64 decoding is commonly used for data serialization and not necessarily indicative of malicious activity.
  • Credentials: No patterns indicative of credential harvesting were found.
  • Metadata: The author's name is missing or very short and the maintainer has only one package, which may indicate a less experienced or potentially suspicious user.

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • Version.TLSv1_2 raw = socket.create_connection( (TWITCH_IRC_HOST, TWITCH_IRC_TLS_PORT), timeout
  • ad).encode("utf-8") req = urllib.request.Request( url, data=body, headers={"C
  • method="POST", ) with urllib.request.urlopen(req, timeout=timeout) as resp: # nosec B310 # sche
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • geo = QByteArray(base64.b64decode(geo_b64)) self.restoreGeometry(geo) exce
  • self.restoreState(QByteArray(base64.b64decode(state_b64))) # η’Ίθͺι‚„εŽŸεΎŒηš„θ¦–ηͺ—δΈ­εΏƒδ»εœ¨ζŸε€‹ε―η”¨θž’εΉ•ε…§γ€‚θ‹₯ε…ˆε‰ηš„ε‰―θž’εΉ•θ’«ζ‹”ι™€γ€
⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

  • s_file(): subprocess.Popen(["explorer", "/select,", os.path.normpath(path)])
  • else: subprocess.Popen(["explorer", os.path.normpath(path)]) elif sys.p
  • == "darwin": subprocess.Popen(["open", "-R" if select else "", path]) else:
  • path).parent) subprocess.Popen(["xdg-open", target]) def _open_with_default_app(self,
  • rpreter rewriting it. subprocess.Popen(argv, shell=False) # noqa: S603 - user-configured path
βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: gmail.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

Repository JeffreyChen-s-Utils/Imervue 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)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with Imervue 
Develop a photo editing mini-application called 'PhotoEnhance' using the Imervue package. This application will allow users to upload their photos, view them in high detail, and apply various non-destructive edits. Additionally, it will support advanced features such as AI upscaling, RAW file handling, and XMP sidecar management. Here’s a step-by-step guide on how to build this application:

1. **Setup Environment**: Ensure you have Python installed along with the Imervue package. Install any additional dependencies like numpy, pillow, and other necessary libraries.
2. **User Interface Design**: Create a user-friendly interface where users can easily upload images, navigate through galleries, and select options for editing.
3. **Image Upload & Display**: Implement functionality to upload images from local storage. Use Imervue to display these images in high detail, leveraging its GPU acceleration capabilities.
4. **Non-Destructive Editing**: Allow users to make adjustments such as brightness, contrast, saturation, etc., without altering the original image data. Save these changes in XMP sidecar files.
5. **Advanced Features**: Integrate Imervue's AI upscaling feature to enhance low-resolution images. Also, provide options to handle RAW files and manage XMP sidecar files for metadata.
6. **Plugin System**: Develop a simple plugin system that allows extending PhotoEnhance with additional editing tools or filters. Plugins should be able to interact with Imervue seamlessly.
7. **Testing & Optimization**: Test the application thoroughly, focusing on performance and usability. Optimize code for speed and memory usage, ensuring smooth operation even with large images or complex edits.
8. **Documentation & Deployment**: Write comprehensive documentation for both users and developers. Prepare the application for deployment on platforms like PyPI or GitHub.