4 months ago

یاد بگیرید که چگونه با ترکیب اسکن آسیب‌پذیری Nessus با تکنیک‌های قدرتمند اسکریپت‌نویسی، وظایف امنیت سایبری خود را تقویت کنید. ما خط لوله شی‌گرا را در PowerShell رمزگشایی خواهیم کرد و به شما نشان خواهیم داد که چگونه یک گزارش Nessus XML را با کتابخانه‌های داخلی پایتون تجزیه کنید. این ویدیو به شما مهارت‌هایی برای خودکارسازی استخراج داده‌ها، فیلتر کردن و اقدامات اصلاحی، بدون تکیه بر کتابخانه‌های خارجی، می‌دهد.

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Nessus XML Parsing and PowerShell Skills References
Here is a reference section that compiles the key points discussed about Nessus XML parsing and the object-oriented pipeline in PowerShell.

Nessus XML Parsing Without External Libraries
When parsing Nessus XML reports in Python, you can use the built-in xml.etree.ElementTree library. This module is part of the Python Standard Library, meaning you don't need to install it separately, making it suitable for restricted environments.

Key Tool: xml.etree.ElementTree for parsing XML.

Alternative (Not Recommended): Basic string manipulation and file I/O for environments with extreme restrictions. This method is brittle and can break easily.

The Object-Oriented Pipeline in PowerShell
Unlike traditional shells that pass plain text, PowerShell's pipeline passes objects. An object is a structured data type with both properties (attributes like ProcessName and ID) and methods (actions the object can perform). This makes command-chaining more robust and efficient.

Concept: An object-oriented pipeline passes structured objects instead of raw text.

Core Cmdlets:

Get-Process: Retrieves a collection of Process objects.

Where-Object: Filters objects from the pipeline based on their properties.

Stop-Process: Accepts Process objects as input and stops the corresponding processes.

Resources for Skill Development
Below are some resources to help you develop your scripting and cybersecurity skills.

Python:

Website: https://www.python.org/about/gettings...

PowerShell:

Website: https://learn.microsoft.com/en-us/pow...

Linux/Bash:

Website: https://linuxcommand.org/