Svn HTTP Proxy

To configure a proxy on your MikroTik router, you need the Winbox software. The following steps must be done in the application: Open the "IP"-"WebProxy" sections. Check the box next to "Enabled". Enter the parameters of the proxy-server.

After that you have to specify the data of the proxy in the browser to be used. As an example, let's take Google Chrome. What you need to do:

Open the browser.
Click on the icon "?" in the upper right corner.
Go to "Settings".
Select the "Advanced" option.
Click the "System" tab.
Click on "Open proxy settings for your computer".
Click on "Network settings".
Activate the "Use proxy server" option.
In the tab that opens, specify the IP address of the proxy server. You should enter it in the field of the protocol to which the proxy server belongs.
Click the "OK" button to save your settings.

In CentOS, if there is no graphical interface (from the terminal), proxy configuration is done through the export http_proxy=http://User:Pass@Proxy:Port/ command. Accordingly, User is the user, Pass is the password to identify you, Proxy is the IP address of the proxy, and Port is the port number. If you have DE, the configuration can be done via Network Manager (as in any other Linux distribution).

Selenium is a popular tool for automating web browser interactions, but it does not have built-in support for interacting with browser push notifications. Push notifications are a feature of the browser itself, and Selenium operates at a lower level, interacting with the Document Object Model (DOM) and simulating user actions.

However, you can use Selenium in combination with JavaScript to interact with push notifications. Here's a step-by-step guide on how to do this:

Here's an example Python script using Selenium and the Chrome WebDriver that demonstrates these steps:

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

# Set up the Chrome WebDriver
driver = webdriver.Chrome()

# Navigate to the website that triggers the push notification
driver.get("https://example.com")

# Wait for the push notification to appear
wait = WebDriverWait(driver, 10)
push_notification = wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, "div.push-notification")))

# Execute JavaScript to click the push notification
driver.execute_script("arguments[0].click();", push_notification)

# Perform any additional actions after clicking the push notification
# ...

# Close the browser
driver.quit()

Please replace the "div.push-notification" CSS selector with the appropriate selector for the push notification element on the website you are working with. Also, make sure to adjust the wait time (10 seconds in this example) as needed for the push notification to appear.

Keep in mind that this approach relies on executing JavaScript code, which can be more brittle than using Selenium's native methods. It's essential to handle exceptions and edge cases, such as the push notification not appearing within the expected time frame.

Encrypting a UDP connection with TLS is not directly possible, as TLS is designed to work with TCP connections. However, you can use Datagram TLS (DTLS) or Secure Reliable Datagram (SRD) to achieve a similar result. DTLS is an extension of TLS that works with UDP, while SRD is a protocol that provides secure and reliable datagrams over UDP.

Here's an example of how to encrypt a UDP connection with DTLS using the Crypto++ library in C++:

1. First, install the Crypto++ library on your system. You can find the installation instructions at: https://www.cryptopp.com/wiki/Installing

2. Create a new C++ project and include the necessary Crypto++ headers.

3. Define the necessary structures and classes for DTLS:

#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 

4. Implement the DTLS handshake and data exchange:

int main()
{
    try
    {
        CryptoPP::AutoSeededRandomPool rng;

        // Generate a DTLS context
        CryptoPP::DTLS_Context dtlsContext(CryptoPP::DTLS_CLIENT);

        // Set up the DTLS context
        dtlsContext.SetPeerCertVerificationCallback(
            [](const CryptoPP::DTLS_PeerCertificate& peerCert, int& errorCode) -> bool
        {
            // Verify the peer certificate
            // Return true if the certificate is valid, false otherwise
        });

        // Perform the DTLS handshake
        dtlsContext.StartHandshake();

        // Send data over the encrypted UDP connection
        std::string data = "Hello, secure UDP!";
        std::vector encryptedData;
        dtlsContext.Encrypt(data.data(), data.size(), encryptedData);

        // Receive data over the encrypted UDP connection
        std::vector receivedData(encryptedData.size());
        dtlsContext.Decrypt(receivedData.data(), receivedData.size(), encryptedData);

        // Convert the received data to a string
        std::string receivedString(receivedData.begin(), receivedData.end());

        // Output the received data

To keep only unique external links while scraping with Scrapy, you can use a set to track the visited external links and filter out duplicates. Here's an example spider that demonstrates how to achieve this:

import scrapy
from urllib.parse import urlparse, urljoin

class UniqueLinksSpider(scrapy.Spider):
    name = 'unique_links'
    start_urls = ['http://example.com']  # Replace with the starting URL of your choice
    visited_external_links = set()

    def parse(self, response):
        # Extract all links from the current page
        all_links = response.css('a::attr(href)').extract()

        for link in all_links:
            full_url = urljoin(response.url, link)

            # Check if the link is external
            if urlparse(full_url).netloc != urlparse(response.url).netloc:
                # Check if it's a unique external link
                if full_url not in self.visited_external_links:
                    # Add the link to the set of visited external links
                    self.visited_external_links.add(full_url)

                    # Yield the link or process it further
                    yield {
                        'external_link': full_url
                    }

        # Follow links to other pages
        for next_page_url in response.css('a::attr(href)').extract():
            yield scrapy.Request(url=urljoin(response.url, next_page_url), callback=self.parse)

- visited_external_links is a class variable that keeps track of the unique external links across all instances of the spider.
- The parse method extracts all links from the current page.
- For each link, it checks if it is an external link by comparing the netloc (domain) of the current page and the link.
- If the link is external, it checks if it is unique by looking at the visited_external_links set.
- If the link is unique, it is added to the set, and the spider yields the link or processes it further.
- The spider then follows links to other pages, recursively calling the parse method.

Remember to replace the start_urls with the URL from which you want to start scraping.