Building a Dark Web Monitoring Tool Using ChatGPT
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The dark web is infamous and frequently misinterpreted, recognized for its anonymous interactions and the exchange of illicit goods and services. Unlike the surface web, it is not indexed by standard search engines and requires specialized software, such as the Tor browser, for access.
Although the dark web can facilitate unlawful activities, it also serves as a crucial resource for cybersecurity professionals, law enforcement, and threat intelligence experts who aim to monitor and track illegal operations.
Many cybersecurity firms offer dark web monitoring as part of their threat intelligence services. Notable players in this field include CrowdStrike, Rapid7, RecordedFuture, ThreatQuotient, ThreatConnect, Anomali, Zerofox, and Nord, among others.
But what if you could create your own monitoring tool for free?
One effective option for this is ChatGPT, a language model developed by OpenAI.
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What is ChatGPT?
If you are reading this, you likely have some familiarity with ChatGPT! It is a sophisticated language model capable of producing human-like text based on prompts. Originally designed for creating chatbots and conversational agents, it has also proven useful for a variety of applications, including building a dark web monitoring tool.
Utilizing ChatGPT for this purpose has several benefits compared to traditional methods. Most importantly, it boasts high accuracy and efficiency, allowing rapid analysis of vast data sets and the generation of coherent reports. Furthermore, it is significantly less labor-intensive than manual monitoring, enabling you to concentrate on other responsibilities while the tool manages the workload.
Creating a Dark Web Monitoring Tool with ChatGPT
STEP 1: Access the OpenAI API
To develop a dark web monitoring tool with ChatGPT, the first step is to gain access to the model and understand its capabilities and limitations. This can be achieved through various means, including the OpenAI API or by training your own version of the model.
STEP 2: Define Your Monitoring Model Requirements
Once you have access to ChatGPT, you need to outline a system for dark web monitoring and data collection. This may involve using specialized software and methods to search for specific keywords or terms associated with illegal activities, as well as keeping an eye on specific dark web forums and marketplaces where illicit items and services are exchanged.
STEP 3: Use ChatGPT to Analyze Data and Generate Reports
After gathering the necessary data, leverage ChatGPT to analyze it and create reports and alerts tailored to your needs. For instance, you could configure the tool to send notifications whenever it detects the sale of a particular illegal product or the trade of stolen personal information.
Unsure where to begin?
Start by Building a Keyword Search Tool
For Python Enthusiasts:
You can develop a Python script using ChatGPT to perform keyword searches across various websites.
Here’s an example of the Python code:
import requests
# List of websites to search
websites = ['https://www.example.com', 'https://www.another-example.com']
# Keyword to search for
keyword = 'keyword'
# Search each website for the keyword
for website in websites:
try:
# Send a GET request to the website
response = requests.get(website)
# Get the response text
text = response.text
# Check if the keyword is in the response text
if keyword in text:
print(f'Keyword found on {website}')else:
print(f'Keyword not found on {website}')except:
print(f'Error accessing {website}')
Another version of the code can utilize your Tor connection. Tor uses port 9050.
import requests
from bs4 import BeautifulSoup
session = requests.session()
session.proxies["http"] = "XXX://localhost:9050"
session.proxies["https"] = "XXX://localhost:9050"
url = "http://<SOME ONION WEBSITE>.onion/"
response = session.get(url)
soup = BeautifulSoup(response.content, "html.parser")
# title of the webpage
print("Page title: ", soup.title.string)
# get all the links on the webpage
print("Links on the page: ")
for link in soup.find_all("a"):
if link.get("href").startswith("/"):
print(url + link.get("href"))else:
print(link.get("href"))# extract text from the webpage
print(soup.get_text())
This script uses the requests library to send HTTP requests to each website in the list and checks for the presence of the keyword in the response. If found, it prints a message indicating its presence; otherwise, it notifies that the keyword was not found.
This is a basic example, and you can customize it as needed, such as adding more dark web onion sites or altering how the script processes the response text for further insights.
For HTML Enthusiasts:
Creating an HTML and JavaScript code with ChatGPT to perform keyword searches across various websites:
Here’s how ChatGPT responded when I asked for a HTML script capable of executing keyword searches across different websites:
“To create a HTML script that performs a keyword search, you can employ a form element for user input and a button for submission. JavaScript can then be utilized to send HTTP requests to each website, search the response text for the keyword, and display the results.”
Here’s an example of the HTML script:
<!DOCTYPE html>
<html>
<head>
<title>Keyword Search</title></head>
<body>
<form id="search-form">
<label for="keyword">Enter keyword:</label><br>
<input type="text" id="keyword" name="keyword"><br>
<button type="submit">Search</button>
</form>
<div id="results"></div>
<script>
// List of websites to search
const websites = ['https://www.example.com', 'https://www.another-example.com'];
// Handle form submission
document.getElementById('search-form').addEventListener('submit', function(event) {
event.preventDefault();
const keyword = document.getElementById('keyword').value;
search(keyword);
});
// Search function
function search(keyword) {
// Clear previous results
document.getElementById('results').innerHTML = '';
// Search each website for the keyword
for (const website of websites) {
fetch(website)
.then(response => response.text())
.then(text => {
if (text.includes(keyword)) {
const result = <p>Keyword found on ${website}</p>;
document.getElementById('results').innerHTML += result;
} else {
const result = <p>Keyword not found on ${website}</p>;
document.getElementById('results').innerHTML += result;
}
})
.catch(error => console.error(error));
}
}
</script>
</body>
</html>
This HTML script creates a form with a text input for the keyword and a submit button. Upon submission, the search function is triggered with the keyword as the argument. This function sends HTTP requests to each website in the list using the fetch function and checks for the keyword's presence in the response text. Messages are displayed based on whether the keyword was found or not.
This is just a basic example, and you can modify it to meet your specific requirements, such as adding more websites or altering how the script processes the response text for additional information.
Isn’t it amazing!!!
Conclusion
In summary, ChatGPT is an exceptional tool for developing a dark web monitoring solution to keep tabs on illegal activities within that realm. Its ability to produce realistic and coherent text makes it ideal for generating reports and alerts, while its efficiency and accuracy are invaluable for law enforcement and individuals seeking to monitor illicit activities on the dark web. What are you waiting for? Dive in and explore this tool!
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