aisp-sdk

v0.0.1 suspicious
4.0
Medium Risk

(No description)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a low risk profile in terms of direct exploitation vectors but exhibits concerning metadata issues that suggest potential malicious intent or poor development practices.

  • Metadata risk due to lack of maintainer history and missing author details
  • Minimal functionality suggesting it may be a placeholder for future malicious updates
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package is designed to interact with external services.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows several red flags such as lack of maintainer history and missing author details, indicating low effort or potential malicious intent.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aisp-sdk 
Create a simple yet powerful image processing application using the 'aisp-sdk' package in Python. This application will allow users to upload images and apply various AI-driven enhancements such as noise reduction, color correction, and edge detection. Additionally, the app will include a feature to automatically tag images based on their content using AI-powered object recognition. Here’s a detailed breakdown of the steps and features:

1. **Setup**: Begin by installing the 'aisp-sdk' package. Ensure your development environment is set up properly with Python and necessary libraries.
2. **User Interface**: Develop a basic user interface where users can upload images. This can be a simple web-based UI using Flask or a desktop application using Tkinter.
3. **Image Processing**: Utilize 'aisp-sdk' to apply noise reduction, color correction, and edge detection to the uploaded images. Display before and after images side-by-side for comparison.
4. **Object Recognition**: Implement an automatic tagging system using 'aisp-sdk' to identify objects within the image. Users should be able to see tags displayed alongside the processed image.
5. **Save & Share**: Allow users to save the processed image to their local machine and share it via social media or email directly from the application.
6. **Documentation & Testing**: Write comprehensive documentation for the application, including setup instructions and usage examples. Test the application thoroughly to ensure all features work as expected.

By following these steps, you'll create a versatile image processing tool that showcases the capabilities of the 'aisp-sdk' package.

💬 Discussion Feed

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