AI Analysis
Final verdict: SAFE
The package has minimal risk factors with no network calls, shell executions, or obfuscations detected. The metadata quality is low, but there are no clear signs of malicious intent.
- Low network and shell risk
- No signs of code obfuscation
- Metadata quality concerns
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function properly.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Package shows signs of low activity and metadata quality, but lacks clear indicators of malicious intent.
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 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Makhlouf" 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 MakhloufFechetah-PDF
Create a fully-functional mini-app called 'PDF Document Manager' using the Python package 'MakhloufFechetah-PDF'. This app will serve as a user-friendly tool for managing PDF documents, allowing users to perform various operations such as merging multiple PDFs into one, splitting a single PDF into multiple files based on specific pages, and extracting text from a PDF document. The app should have the following core functionalities: 1. **Merge PDFs**: Users should be able to select multiple PDF files from their local machine and merge them into a single PDF file. The output file should be saved to the user's specified location. 2. **Split PDFs**: Provide functionality to split a single PDF document into multiple smaller PDFs based on user-defined page ranges. For example, if a user wants to split a 10-page document into two 5-page documents, the app should allow specifying the range of pages for each new file. 3. **Extract Text**: Implement a feature to extract text from a selected PDF document and display it in a readable format within the app interface. 4. **User Interface**: Develop a simple, intuitive GUI using a framework like Tkinter that allows users to easily navigate through these features. Ensure the UI includes clear instructions and feedback messages. To achieve these functionalities, you'll need to utilize the 'MakhloufFechetah-PDF' package effectively. Specifically, use its capabilities to handle PDF operations such as reading, writing, and manipulating PDF content. Additionally, consider integrating error handling to manage cases where the input files might be corrupt or not in the expected format. Your task is to design and implement this mini-app from scratch, ensuring all features work seamlessly together. Focus on making the app robust, user-friendly, and efficient in processing PDF documents.