🤖 AI Analysis

Final verdict: SAFE

The package has minimal risk indicators, with no network calls, obfuscation, or credential harvesting observed. The shell execution is potentially benign, used for system information gathering.

No network calls detected.
No signs of credential harvesting.

Per-check LLM notes

Network: No network calls detected, indicating low risk of data exfiltration or C2 communication.
Shell: Shell execution appears to be for gathering system information, suggesting moderate risk and possibly legitimate functionality but requires further investigation into the package's purpose.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
Metadata: The package is new with limited activity, but there are no immediate red flags like typosquatting or suspicious links.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

try: result = subprocess.run( ["pmset", "-g", "batt"], ca
try: result = subprocess.run( ["/usr/sbin/system_profiler", "-json",
(): try: result = subprocess.run( ["zsh", "-c", "echo $fpath"], captu
ell try: result = subprocess.run( ["zsh", "-i", "-c", "type compinit"],

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Filip Strand" 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 abstractvision-mflux

Create a fully-functional mini-app called 'ImageGenius' that leverages the 'abstractvision-mflux' package to generate and manipulate images using state-of-the-art generative models. The app should allow users to input text prompts or upload images as seeds, and then generate new images based on these inputs. Additionally, the app should include features like adjusting the style, adding filters, and saving the generated images.

Step-by-Step Instructions:
1. Set up the development environment with Python and install the 'abstractvision-mflux' package.
2. Design a user-friendly interface where users can either type in text descriptions or upload images.
3. Implement a feature that uses 'abstractvision-mflux' to interpret the user's input and generate a corresponding image.
4. Add customization options such as changing the style of the generated image, applying various filters, and adjusting brightness/contrast.
5. Ensure the app allows users to save their generated images locally or share them via social media.
6. Test the app thoroughly to ensure it works smoothly and efficiently.
7. Document the code and provide instructions for other developers to run and extend the app.

Suggested Features:
- Text-to-image generation
- Image-to-image transformation
- Style transfer between different images
- Real-time preview of generated images
- Customizable filter effects
- Save and share functionality

How 'abstractvision-mflux' is Utilized:
- For generating images from text prompts or seed images, use the core generative models provided by 'abstractvision-mflux'.
- To apply filters and transformations, utilize any relevant preprocessing and postprocessing functions available in 'abstractvision-mflux'.