aax-vision-lib

v1.0.0 safe
4.0
Medium Risk

Universal asset memorizer: scrape URLs, memorize images/text/code/video as A-Z unlimited assets

🤖 AI Analysis

Final verdict: SAFE

The package appears to be designed for web scraping and asset storage, with minimal risks identified. However, its novelty and lack of maintainer history warrant caution.

  • Low network, shell, obfuscation, and credential risks.
  • Moderate metadata risk due to newness and lack of maintainer history.
Per-check LLM notes
  • Network: The use of requests.Session() with headers update is common for making HTTP requests but should be reviewed for destinations and purposes.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package is new and lacks maintainer history, with no git repository found.

🔬 Heuristic Checks

Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • bose self._session = requests.Session() self._session.headers.update(DEFAULT_HEADERS)
  • EFAULT_HEADERS sess = requests.Session() sess.headers.update(DEFAULT_HEADERS) for a
  • imeout self._sess = requests.Session() self._sess.headers.update(DEFAULT_HEADERS) #
  • imeout self._sess = requests.Session() self._sess.headers.update(DEFAULT_HEADERS) de
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

Email domain looks legitimate: example.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "aax-vision-lib" 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 aax-vision-lib
Create a personalized educational content summarizer using the 'aax-vision-lib' Python package. This application will allow users to input a URL of any online educational resource such as a blog post, video tutorial, or lecture slides. The app will then scrape the provided URL, extract key visual and textual information, and generate a concise summary of the content. Here are the steps and features you need to implement:

1. **User Interface**: Design a simple web interface where users can enter a URL and submit it for processing.
2. **Content Scraping**: Utilize 'aax-vision-lib' to scrape the entered URL and gather all available media (images, videos) and text content.
3. **Content Analysis**: Apply natural language processing techniques to analyze the text data, identifying key points, summaries, and important quotes.
4. **Visual Content Processing**: Use 'aax-vision-lib' to process images and videos, extracting meaningful insights or descriptions that could complement the text summary.
5. **Summary Generation**: Combine the analyzed text and visual insights into a cohesive summary that captures the essence of the original content.
6. **Output Presentation**: Present the summary in a user-friendly format on the web interface, including relevant images and links back to the original sources.
7. **Optional Enhancements**: Consider adding features like sentiment analysis, keyword highlighting, and the ability to save summaries for future reference.

This project leverages the versatile capabilities of 'aax-vision-lib' to handle various types of digital content, making it a powerful tool for anyone looking to quickly grasp the main ideas from complex educational resources.