DeepRead.Monkai

v4.1.2 suspicious
4.0
Medium Risk

Biblioteca para extração inteligente de documentos PDF com IA

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears generally benign with low risks for common attack vectors like network calls or credential harvesting. However, the lack of repository and author details increases suspicion regarding its legitimacy and maintainability.

  • Missing repository and author details
  • Low risk for common attack vectors
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The missing repository and author details raise concerns about the legitimacy and maintainability of the package.

🔬 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

Email domain looks legitimate: monkai.com.br>

✓ 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

  • 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 DeepRead.Monkai 
Create a fully-functional mini-application named 'PDFInsight' that leverages the 'DeepRead.Monkai' library to intelligently extract information from PDF documents using AI technology. This application should serve as a versatile tool for users looking to analyze, summarize, and categorize the content of their PDF files efficiently. Here’s a step-by-step guide on what your application should accomplish:

1. **User Interface Design**: Develop a simple yet intuitive user interface where users can upload one or multiple PDF files. Ensure the design is responsive and accessible across different devices.
2. **PDF Upload Handling**: Implement functionality that allows users to upload PDF files directly from their device or via a URL. The application should support various file sizes and formats within standard limits.
3. **Document Analysis**: Utilize 'DeepRead.Monkai' to process each uploaded document. This includes identifying key sections such as headers, footers, tables, images, and text blocks. The AI should automatically recognize and separate these elements for further processing.
4. **Content Summarization**: After analyzing the document structure, generate a concise summary of the main points found in the text. This feature should highlight important data and insights extracted from the document.
5. **Categorization and Tagging**: Automatically tag each document based on its content. Users should also have the option to manually add tags for better organization.
6. **Search Functionality**: Enable users to search through the summarized and categorized data within the uploaded documents. The search function should be able to find specific keywords or phrases across all processed documents.
7. **Export Options**: Provide options for users to export the summarized data and tags in various formats like CSV, JSON, or plain text for further analysis or record-keeping.
8. **Integration with Other Tools**: Consider integrating 'PDFInsight' with other common productivity tools such as Google Drive, Dropbox, or Microsoft OneDrive, allowing seamless import and export of documents.

To achieve these goals, you will need to utilize 'DeepRead.Monkai' for its advanced PDF extraction capabilities. Specifically, focus on leveraging its features for intelligent section identification, text extraction, and image recognition to enhance the utility and accuracy of your application.