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Enable WIFI ADAPTER Monitor Mode in Kali Linux

Connect the WIFI adapter and add it in VirtualBox USB Settings TP-Link TL-WN725N 150Mbps Wireless N Nano USB Adapter https://www.amazon.in/gp/product/B008IFXQFU Check the Adapter Chippet lsusb Bus 001 Device 002 : ID 2357 : 0109 TP-Link TL-WN823N v2 / v3 [Realtek RTL8192EU] Bus 001 Device 001 : ID 1 d6b: 0002 Linux Foundation 2 . 0 root hub Bus 002 Device 002 : ID 80 ee: 0021 VirtualBox USB Tablet Bus 002 Device 001 : ID 1 d6b: 0001 Linux Foundation 1 . 1 root hub Find Appropriate Driver for Realtek RTL8192EU from GitHub https://github.com/clnhub/rtl8192eu-linux Install the dependencies sudo apt install linux-headers-generic build-essential dkms git Clone the Driver git clone https://github.com/clnhub/rtl8192eu-linux.git Configure the Architecture and Monitor Mode Open MakeFile in Text Editor or Nano If you're using a different architecture than x86, the set (MakeFile) CONFIG_PLATFORM_I386_PC = n set your architecture CONFIG_PLATFORM_ARM_AARCH64...
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Using ChatGPT in Python Programming

ChatGPT is a powerful language model developed by OpenAI that can generate human-like text. It can be used for a variety of tasks such as language translation, text summarization, and conversation generation. In this document, we will go over the basics of using ChatGPT. Prerequisites In order to use ChatGPT, you will need to have Python 3 and the OpenAI API key. You can sign up for a free API key on the OpenAI website. Installation To use ChatGPT, you will need to install the openai python package. You can do this by running the following command: import openai openai .api_key = "YOUR_API_KEY" prompt = "Write a short story about a robot" completions = openai .Completion .create ( engine= "text-davinci-002" , prompt=prompt, max_tokens= 1024 , n= 1 , stop=None, temperature= 0.5 , ) message = completions .choices [ 0 ] .text print (message) In this example, we are using the text-davinci-002 engine, which is the latest ve...
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Python Requests Library: Handling Exception for REST API Calls

Python requests is a powerful library for consuming REST API methods. There are chances for throwing errors when calling these services. This error can be handled by using base Exception class import requests url = "https://reqbin.com/echo/post/json" try : re = requests. get (url, timeout= 5 ) if re.ok: print (re. text ) else : print ( "Service Unavailable!" ) except Exception: print ( "Connection Error" ) This script will handle the connection timed out error and maximum retry error. Gist URL: https://gist.github.com/anthoniraj/619bfec6dc389290aa0ccda2927163c5
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