AI Analysis
Final verdict: SUSPICIOUS
The package appears to be low-risk based on the analysis of network, shell, and obfuscation risks. However, the metadata risk score of 3 out of 10 due to the maintainer's limited package history raises some concern about potential supply-chain risks.
- Metadata risk due to a single package by the maintainer
- No significant risks detected in network, shell, or obfuscation checks
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no immediate risk from command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.
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
Repository SSujitX/StealthPlex appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "SSujitX" 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 StealthPlex
Create a Python-based web scraping tool named 'WebWhisperer' that leverages the 'StealthPlex' library to scrape data from websites while maintaining anonymity and avoiding detection. WebWhisperer should be designed to demonstrate the core capabilities of StealthPlex, including its multi-engine stealth fetch layer, anti-bot bypass techniques, and optional auto-escalation features. Here’s a detailed breakdown of the project steps and features: 1. **Setup Environment**: Install Python and necessary libraries, including StealthPlex. 2. **Project Structure**: Define a clean, modular project structure with directories for source code, configuration files, and logs. 3. **Configuration Management**: Implement a configuration file where users can specify target URLs, desired data fields, and StealthPlex settings such as engine choice, fingerprint customization, and auto-escalation preferences. 4. **Data Scraping Module**: Develop a module that uses StealthPlex to fetch web pages. This module should handle the initiation of stealthy requests and data extraction based on user-defined configurations. 5. **Data Parsing & Storage**: Create a feature that parses the scraped data according to specified rules (e.g., extracting text, images, links) and stores it in a structured format like JSON or CSV. 6. **Logging & Monitoring**: Integrate logging to track the scraping process, including request details, response status, and any errors encountered. Additionally, implement real-time monitoring of the scraping session for efficiency and anomaly detection. 7. **User Interface**: Design a simple command-line interface (CLI) or a basic GUI using Tkinter that allows users to input parameters, start/stop the scraper, and view results. 8. **Testing & Validation**: Conduct thorough testing to ensure StealthPlex functionalities work as expected under various conditions, including different website structures and anti-scraping measures. 9. **Documentation**: Write comprehensive documentation detailing how to install, configure, and use WebWhisperer, including examples and best practices for stealth scraping. 10. **Deployment**: Prepare WebWhisperer for deployment by packaging it into an executable file or container that can run on different systems without requiring additional installations. By following these steps and incorporating the suggested features, you will create a robust and stealthy web scraping utility that showcases the power of StealthPlex in handling complex scraping tasks with minimal risk of detection.