appkit-imagecreator

v1.11.3 safe
4.0
Medium Risk

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🤖 AI Analysis

Final verdict: SAFE

The package appears to be primarily focused on image generation with no significant indications of malicious intent. The moderate obfuscation score is not enough to raise substantial concerns.

  • Low network and shell risks.
  • No evidence of credential harvesting.
  • Moderate obfuscation risk due to base64 decoding.
Per-check LLM notes
  • Network: The network calls are likely for fetching images, which is reasonable for an image creation tool.
  • Shell: No shell execution patterns detected, indicating low risk.
  • Obfuscation: Base64 decoding is commonly used for data encoding and may not necessarily indicate malicious activity, but the presence of encoded images could suggest some level of obfuscation.
  • Credentials: No clear patterns indicating credential harvesting were found.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 13 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 13 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/jenreh/appkit/tree/main/docs
  • Detailed PyPI description (10958 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 158 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in jenreh/appkit
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • y: async with httpx.AsyncClient() as client: resp = await client.get(img
  • _params() async with httpx.AsyncClient(timeout=120.0) as client: response = await clien
  • async with httpx.AsyncClient() as client: resp = await client.get
⚠ Code Obfuscation score 8.0

Found 4 obfuscation pattern(s)

  • e") image_bytes = base64.b64decode(b64_json) generated_images.append(GeneratedImage
  • image_bytes = base64.b64decode(img.b64_json) generated_images.append(
  • G) test_image_bytes = base64.b64decode( "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAA
  • # 1x1 pixel PNG return base64.b64decode( "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADU
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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

Repository jenreh/appkit appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Jens Rehpöhler" 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 appkit-imagecreator 
Create a personalized meme generator application using the Python package 'appkit-imagecreator'. This application will allow users to upload their own images and add custom text to create personalized memes. The application should include the following features:

1. User-friendly interface: Design an intuitive UI where users can easily navigate and use the application.
2. Image upload functionality: Users should be able to upload their own images from their local device.
3. Text customization: Allow users to add multiple lines of text with customizable font styles, sizes, colors, and positions on the image.
4. Save and share options: Provide options for users to save their created memes locally and share them via social media platforms like Twitter, Facebook, etc.
5. Predefined templates: Include a set of predefined meme templates with popular sayings and phrases.
6. Preview mode: Implement a preview mode that allows users to see their final meme before saving or sharing it.

Utilize the 'appkit-imagecreator' package to handle the core functionalities such as image manipulation, text rendering, and template management. Ensure that the application is fully functional and provides an engaging user experience.

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