🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of network or shell risks, suggesting it does not engage in potentially harmful activities such as unauthorized network communications or command executions.

No network calls detected
No shell execution patterns found

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.

🔬 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 score 3.0

Suspicious email domain flags: Very short email domain: qq.com

Very short email domain: qq.com

✓ 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 package
Author "g1879" 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 DrissionPageMCPServer

Create a web scraping and automation tool called 'WebScrapePro' using the Python package 'DrissionPageMCPServer'. This tool will enable users to scrape data from websites, automate form submissions, and schedule these tasks at regular intervals. Here’s a detailed breakdown of the project requirements and steps to achieve it:

1. **Project Setup**: Begin by setting up your development environment. Ensure you have Python installed along with 'DrissionPageMCPServer'. Use virtual environments to manage dependencies.

2. **Core Functionality**:
- Implement a user-friendly interface where users can input URLs and specify which elements they want to scrape.
- Utilize 'DrissionPageMCPServer' to navigate through websites, extract data, and handle dynamic content loading efficiently.

3. **Automation Features**:
- Develop functionality for automating form submissions on specified websites.
- Integrate scheduling capabilities so users can set up recurring tasks (e.g., daily, weekly).

4. **Data Handling**:
- Provide options for saving scraped data in various formats such as CSV, JSON, or directly into a database.
- Include error handling mechanisms to deal with potential issues like CAPTCHAs or server downtime.

5. **User Interface**:
- Design a clean, intuitive UI using Flask or Django for the web interface.
- Ensure the application is responsive and works well on both desktop and mobile devices.

6. **Security Measures**:
- Implement basic security measures such as rate limiting to avoid overloading target servers.
- Optionally, add user authentication to restrict access to the tool.

7. **Testing & Deployment**:
- Thoroughly test all functionalities using mock data and real-world scenarios.
- Deploy the application on a cloud platform like AWS or Heroku.

8. **Documentation**:
- Write comprehensive documentation detailing setup instructions, usage guides, and API references if applicable.

Throughout the development process, focus on leveraging 'DrissionPageMCPServer' to its fullest extent, ensuring efficient and robust web scraping and automation capabilities.