IP | Country | PORT | ADDED |
---|---|---|---|
50.169.222.243 | us | 80 | 42 minutes ago |
115.22.22.109 | kr | 80 | 42 minutes ago |
50.174.7.152 | us | 80 | 42 minutes ago |
50.171.122.27 | us | 80 | 42 minutes ago |
50.174.7.162 | us | 80 | 42 minutes ago |
47.243.114.192 | hk | 8180 | 42 minutes ago |
72.10.160.91 | ca | 29605 | 42 minutes ago |
218.252.231.17 | hk | 80 | 42 minutes ago |
62.99.138.162 | at | 80 | 42 minutes ago |
50.217.226.41 | us | 80 | 42 minutes ago |
50.174.7.159 | us | 80 | 42 minutes ago |
190.108.84.168 | pe | 4145 | 42 minutes ago |
50.169.37.50 | us | 80 | 42 minutes ago |
50.223.246.238 | us | 80 | 42 minutes ago |
50.223.246.239 | us | 80 | 42 minutes ago |
50.168.72.116 | us | 80 | 42 minutes ago |
72.10.160.174 | ca | 3989 | 42 minutes ago |
72.10.160.173 | ca | 32677 | 42 minutes ago |
159.203.61.169 | ca | 8080 | 42 minutes ago |
209.97.150.167 | us | 3128 | 42 minutes ago |
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Open the "Data and memory" item in the settings, and then, under "Proxy", click "Proxy settings". In the "Connection" window that opens, select "Add proxy" and then check the SOCKS5 proxy. Next, in the "Server" field, you must enter the IP of the proxy, and in the "Port" field enter the port SOCKS5. The next step is to enter the login from the proxy and the password from the proxy. Now, all you have to do is click "Done".
Bouncy Castle is a popular cryptography library in C#. If you want to parse and extract Certificate Signing Request (CSR) extensions using Bouncy Castle, you can follow these steps
Add Bouncy Castle Library
First, make sure you have the Bouncy Castle library added to your project. You can do this via NuGet Package Manager:
Install-Package BouncyCastle
Parse CSR:
Use Bouncy Castle to parse the CSR. The following code demonstrates how to parse a CSR from a PEM-encoded string:
using Org.BouncyCastle.Pkcs;
using Org.BouncyCastle.OpenSsl;
using Org.BouncyCastle.X509;
using System;
using System.IO;
class Program
{
static void Main()
{
string csrString = File.ReadAllText("path/to/your/csr.pem");
Pkcs10CertificationRequest csr = ParseCSR(csrString);
// Now you can work with the parsed CSR
}
static Pkcs10CertificationRequest ParseCSR(string csrString)
{
PemReader pemReader = new PemReader(new StringReader(csrString));
object pemObject = pemReader.ReadObject();
if (pemObject is Pkcs10CertificationRequest csr)
{
return csr;
}
throw new InvalidOperationException("Invalid CSR format");
}
}
Extract Extensions:
Once you have the CSR parsed, you can extract extensions using the GetAttributes method. Extensions in a CSR are typically stored in the Attributes property. Here's an example:
foreach (DerObjectIdentifier oid in csr.CertificationRequestInfo.Attributes.GetOids())
{
Attribute attribute = csr.CertificationRequestInfo.Attributes[oid];
// Work with the attribute, e.g., check if it's an extension
if (oid.Equals(PkcsObjectIdentifiers.Pkcs9AtExtensionRequest))
{
X509Extensions extensions = X509Extensions.GetInstance(attribute.AttrValues[0]);
// Now you can iterate over extensions and extract the information you need
foreach (DerObjectIdentifier extOID in extensions.ExtensionOids)
{
X509Extension extension = extensions.GetExtension(extOID);
// Process the extension
}
}
}
Modify the code according to your specific requirements and the structure of your CSR. The example assumes a basic structure, and you may need to adapt it based on your CSR format and the extensions you're interested in.
When using Selenium for automation, it's important to be aware that websites can detect automation and may have measures in place to identify bot-like behavior. Some websites employ techniques to detect whether a user is interacting with the site through a web browser or through automated scripts like Selenium.
While it's not recommended to hide the fact that you are using Selenium, there are strategies you can employ to make your automation less detectable. Keep in mind that attempting to hide automation might violate the terms of service of certain websites, and it's important to respect the policies of the websites you are interacting with.
Here are some strategies to make your Selenium automation less detectable
1. Use Headless Mode
Running the browser in headless mode means it operates without a graphical user interface. This can make your automation less conspicuous. However, be aware that some websites can still detect headless browsers.
from selenium import webdriver
options = webdriver.ChromeOptions()
options.add_argument('--headless')
driver = webdriver.Chrome(options=options)
2. Modify User Agent
Change the user agent to simulate different browsers or devices. This can make your requests look more like those coming from real users.
from selenium import webdriver
options = webdriver.ChromeOptions()
options.add_argument('--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36')
driver = webdriver.Chrome(options=options)
3. Slow Down Interactions
Introduce delays between your interactions to mimic more human-like behavior. Websites might detect automation based on rapid, sequential requests.
import time
# Introduce a delay
time.sleep(2)
4. Randomize Interactions
Add randomization to your script, such as randomizing wait times, order of interactions, or the number of interactions. This can make your script less predictable.
import random
# Randomize wait time
time.sleep(random.uniform(1, 3))
5. Handle Cookies and Sessions
Manage cookies and sessions effectively to simulate real user behavior. Log in, handle sessions, and manage cookies as a real user would.
6. Avoid Common Automation Detection Techniques
Be aware of common techniques websites use to detect automation, such as checking for the presence of WebDriver properties. You may need to work around these checks or use techniques to override them.
Please note that while these strategies may make your Selenium automation less detectable, they may not guarantee complete invisibility. Websites can employ sophisticated methods to detect automation, and attempting to bypass detection mechanisms might violate the terms of service of the website.
Extreme RAM consumption in Firefox Selenium can be caused by a variety of factors. Here are some steps you can take to troubleshoot and resolve the issue:
1. Update Firefox and Selenium: Ensure you are using the latest versions of Firefox and Selenium, as updates often include performance improvements and bug fixes.
2. Use Firefox Options: When initializing the Firefox WebDriver, pass the -marionette option to use the Marionette protocol, which can help reduce memory usage.
from selenium import webdriver
driver = webdriver.Firefox(executable_path, options=["-marionette"])
3. Use Firefox Profile: Create a custom Firefox profile and use it with Selenium to limit memory usage.
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.firefox.firefox_profile import FirefoxProfile
profile = FirefoxProfile()
profile.set_preference("browser.sessionstore.max_tabs_undoc", 0)
profile.set_preference("browser.sessionstore.max_windows_undoc", 0)
profile.set_preference("browser.sessionstore.max_windows", 0)
profile.set_preference("browser.sessionstore.max_tabs", 0)
options = Options()
options.profile = profile
driver = webdriver.Firefox(executable_path, options=options)
4. Limit Browser Tabs: If you are using multiple tabs, try to limit the number of tabs open at the same time, as each tab consumes additional memory.
5. Disable Extensions: Disable any unnecessary browser extensions, as they can consume memory and slow down the browser.
6. Close Unused Windows: Close any unnecessary browser windows to free up memory.
7. Adjust Timeouts: Increase the implicit and explicit wait timeouts to reduce the frequency of operations that might cause memory leaks.
driver.implicitly_wait(10)
driver.set_page_load_timeout(10)
8. Use Headless Mode: Run Firefox in headless mode to reduce memory usage by not rendering the UI.
options.add_argument("--headless")
9. Monitor Memory Usage: Use tools like Task Manager (Windows) or Activity Monitor (macOS) to monitor memory usage and identify any specific tests or operations that are causing high memory consumption.
10. Profile Memory Usage: Use Firefox's built-in performance profiling tools to identify memory leaks and optimize your code.
If none of these steps resolve the issue, consider using a different browser or WebDriver, such as Chrome or Edge, which may have better memory management.
You need to go to "Settings", click on "WiFi", select the current network to which the smartphone is connected, tap on "Proxy settings". And then - deactivate the item.
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