alphapil

v0.4.3 suspicious
5.0
Medium Risk

An asynchronous, template-based image generation engine

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of obfuscation through the use of eval with restricted builtins, indicating possible attempts to evade detection. While there are no immediate risks like shell execution or credential harvesting, the missing maintainer information and potential for network risks raise concerns about its safety.

  • High obfuscation risk due to eval usage
  • Missing maintainer information
Per-check LLM notes
  • Network: The presence of network calls is common for packages that fetch external resources, but further investigation into the legitimacy of the URLs and data handling is recommended.
  • Shell: No shell execution patterns detected, which is normal and does not indicate any immediate risk.
  • Obfuscation: The use of eval with restricted builtins suggests an attempt to bypass code analysis or runtime checks, indicative of potential malicious activity.
  • Credentials: No patterns for harvesting credentials or secrets were detected.
  • Metadata: The maintainer's author name is missing and the account seems new or inactive, which raises some concern but not enough to conclude malice.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://alphapil.readthedocs.io
  • Detailed PyPI description (3872 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

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

Active multi-contributor project

  • 3 unique contributor(s) across 67 commits in MeraLabs/AlphaPIL
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • wnload async with aiohttp.ClientSession() as session: async with session.get(path) a
  • y: async with aiohttp.ClientSession() as session: async with session.get(pat
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • r safety result = eval(expression, {"__builtins__": {}}, {})
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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

Repository MeraLabs/AlphaPIL 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 alphapil 
Create a fully functional mini-app that generates personalized meme images using the 'alphapil' package. This app will allow users to select from a variety of popular meme templates and add their own custom text to create unique and shareable memes. Here’s a detailed plan on how to build it:

1. **Setup**: Begin by setting up a Python virtual environment and installing necessary packages including 'alphapil'. Ensure you have the latest version of 'alphapil' installed.
2. **Template Selection**: Implement a feature where users can choose from a predefined set of meme templates. Each template should have placeholders for user-generated text.
3. **Text Input**: Allow users to input text that will replace the placeholders in the selected meme template. Ensure there is validation to check if the input fits within the designated space.
4. **Image Generation**: Use 'alphapil' to generate the final meme image based on the chosen template and provided text. Make sure the generated image looks professional and is of high quality.
5. **Output Options**: Provide options for users to either download the generated meme directly or share it via social media platforms like Twitter, Facebook, etc.
6. **User Interface**: Develop a simple yet intuitive UI (using a library such as Streamlit or Flask) where users can interact with the app seamlessly.
7. **Testing**: Test the app thoroughly to ensure all functionalities work as expected, especially focusing on edge cases like very long text inputs or non-standard characters.
8. **Deployment**: Once tested, deploy your app so it can be accessed by others online. Consider hosting it on platforms like Heroku or AWS.

By following these steps, you’ll be able to create a fun and engaging mini-app that leverages the powerful image generation capabilities of 'alphapil', providing users with a creative outlet for their humor and creativity.

💬 Discussion Feed

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