Using AI to repel 2FA 0-day Google attacks


Here's a fun kid snippet from my AI to the anonymous entry into the hack the planet contest. They attacked Google via a 2FA ,with their AI with this code.  Make digital Love not war. Lmao
import re

def analyze_email(email_content):
  """
  Analyzes the content of an email to detect signs of a 2FA attack.

  Args:
    email_content: The raw text content of the email.

  Returns:
    True if the email is suspicious, False otherwise.
  """

  # Check for suspicious keywords and phrases
  suspicious_keywords = [
      "verify your account",
      "security alert",
      "unusual activity",
      "reset your password",
      "two-factor authentication",
      "login attempt",
  ]
  for keyword in suspicious_keywords:
    if keyword in email_content.lower():
      return True

  # Check for suspicious URLs
  url_pattern = r"(https?://\S+)"
  urls = re.findall(url_pattern, email_content)
  for url in urls:
    if not is_legitimate_url(url):
      return True

  # Check for suspicious sender address
  sender_address = extract_sender_address(email_content)
  if not is_legitimate_sender(sender_address):
    return True

  # No suspicious elements found
  return False

def is_legitimate_url(url):
  """
  Checks if a URL is legitimate based on a set of criteria.

  Args:
    url: The URL to check.

  Returns:
    True if the URL is legitimate, False otherwise.
  """

  # Implement your URL validation logic here
  # This could include checking for known phishing domains,
  # URL shortening services, suspicious TLDs, etc.
  # For example, you could use a blacklist of known phishing domains:
  phishing_domains = ["example-phishing.com", "another-phishing.com"]
  if any(domain in url for domain in phishing_domains):
    return False

  # Add more URL validation checks as needed

  return True

def is_legitimate_sender(sender_address):
  """
  Checks if a sender address is legitimate based on a set of criteria.

  Args:
    sender_address: The sender's email address.

  Returns:
    True if the sender address is legitimate, False otherwise.
  """

  # Implement your sender address validation logic here
  # This could include checking for spoofed domains,
  # suspicious email formats, etc.
  # For example, you could check if the domain matches the expected domain:
  expected_domain = "example.com"
  if not sender_address.endswith(expected_domain):
    return False

  # Add more sender address validation checks as needed

  return True

def extract_sender_address(email_content):
  """
  Extracts the sender's email address from the email content.

  Args:
    email_content: The raw text content of the email.

  Returns:
    The sender's email address.
  """

  # Implement your email parsing logic here
  # This could involve using regular expressions or email parsing libraries
  # to extract the sender's address from the email headers.
  # For example, you could use a simple regex to extract the address from the "From" header:
  from_header_pattern = r"From:.*<(.*)>"
  match = re.search(from_header_pattern, email_content)
  if match:
    return match.group(1)

  return None

# Example usage
email_content = """
Subject: Urgent Security Alert!

Dear User,

We have detected unusual activity on your account. Please click on the following link to verify your account and reset your password:


Thank you,
The Security Team
"""

if analyze_email(email_content):
  print("This email is suspicious.")
else:
  print("This email appears to be legitimate.")

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