real estate property

finance banking

adult content

technology software

government public service

English

You're looking at domain 'back-purple-ctnnvfuy-dp8ssh2xr0jl.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'back-purple-ctnnvfuy-dp8ssh2xr0jl'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

html/20/b7/20b765ef-767b-4d6f-9bac-b9c507b04df3.html.gz

require-trusted-types-for 'script'; report-uri https://csp.withgoogle.com/csp/apps-themes

69d198eebf016a01d7d21a107e2c2f9aec90bf9756a2e34df1ffad67fc9937d6

width=device-width, initial-scale=1.0, maximum-scale=1.0

viewport

Prudence Malinki

MarkMonitor Inc.

edgeone.app

Abuse

Google LLC

GOOGLE


// ── SCREEN NAVIGATION ──
function showScreen(id) {
  document.querySelectorAll('.screen').forEach(s => s.classList.remove('active'));
  document.querySelectorAll('.nav-btn').forEach(b => b.classList.remove('active'));
  const sc = document.getElementById('screen-' + id);
  if (sc) sc.classList.add('active');
  const btn = document.querySelector(`.nav-btn[onclick="showScreen('${id}')"]`);
  if (btn) btn.classList.add('active');
  window.scrollTo(0, 0);
  if (id === 'admin') { setTimeout(animateAdmin, 120); }
}

// ── DASHBOARD LOADING ──
function startDashboardLoad() {
  showScreen('dashboard');
  const skel = document.getElementById('dashSkeleton');
  const content = document.getElementById('dashContent');
  skel.style.display = 'block';
  content.style.display = 'none';
  setTimeout(() => {
    skel.style.display = 'none';
    content.style.display = 'block';
  }, 1800);
}

// ── SIDEBAR ──
function openSidebar() {
  document.getElementById('sidebar').classList.add('open');
  document.getElementById('sidebarOverlay').classList.add('visible');
}
function closeSidebar() {
  document.getElementById('sidebar').classList.remove('open');
  document.getElementById('sidebarOverlay').classList.remove('visible');
}

// ── FULL-SCREEN AI AGENT ──
const llmModels = [
  { key:'openai',       name:'GPT-4o',            dot:'#10a37f' },
  { key:'gemini-flash', name:'Gemini 2.5 Flash',  dot:'#4285F4' },
  { key:'gemini-pro',   name:'Gemini 2.5 Pro',    dot:'#8B5CF6' },
  { key:'claude',       name:'Claude 3.5 Sonnet', dot:'#cd7f32' },
];
let currentModelIdx = 0;

function openAIAgent() {
  document.getElementById('aiFullscreen').classList.add('open');
  document.body.style.overflow = 'hidden';
}
function closeAIAgent() {
  document.getElementById('aiFullscreen').classList.remove('open');
  document.body.style.overflow = '';
}
function toggleAIASidebar() {
  document.getElementById('aiaSidebar').classList.toggle('collapsed');
}
function closeSidebarAI() {
  document.getElementById('aiaSidebar').classList.add('collapsed');
}
function cycleModel() {
  currentModelIdx = (currentModelIdx + 1) % llmModels.length;
  const m = llmModels[currentModelIdx];
  document.getElementById('aiaModelName').textContent = m.name;
  document.getElementById('aiaModelDot').style.background = m.dot;
  const sidebar = document.getElementById('aiaSidebarModel');
  sidebar.innerHTML = `<div class="aia-model-dot" style="background:${m.dot};"></div>${m.name}`;
}
function setAIPrompt(text) {
  document.getElementById('aiaHomeInput').value = text;
  aiaHomeSend();
}
function resetAIChat() {
  document.getElementById('aiaHome').style.display = 'flex';
  document.getElementById('aiaChat').classList.remove('visible');
  document.getElementById('aiaChatMsgs').innerHTML = '';
  document.getElementById('aiaHomeInput').value = '';
}
function aiaHomeKey(e) { if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); aiaHomeSend(); } }
function aiaChatKey(e) { if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); aiaChatSend(); } }
function aiaChipSend(el) {
  document.getElementById('aiaHomeInput').value = el.textContent;
  aiaHomeSend();
}
function aiaHomeSend() {
  const inp = document.getElementById('aiaHomeInput');
  const text = inp.value.trim();
  if (!text) return;
  // Switch to chat view
  document.getElementById('aiaHome').style.display = 'none';
  document.getElementById('aiaChat').classList.add('visible');
  inp.value = '';
  aiaAppendAndRespond(text);
}
function aiaChatSend() {
  const inp = document.getElementById('aiaChatInput');
  const text = inp.value.trim();
  if (!text) return;
  inp.value = '';
  aiaAppendAndRespond(text);
}

const aiaResponses = [
  "I've analysed your pipeline. You have <strong>8 active deals</strong> worth <strong>$2.25M</strong> in total. 2 deals are overdue for follow-up — Priya Patel (day 8, processing) and Angela Moore (day 5, docs pending). I recommend reaching out to both today.",
  "🔥 <strong>Hot leads today:</strong><br><br>1. <strong>Marcus Johnson</strong> — Score 92. FHA · Orlando. Ready for LO consultation.<br>2. <strong>Priya Patel</strong> — Score 87. Refinance · Miami. Consultation scheduled tomorrow at 2pm.<br><br>Both look strong. Want me to draft a personalised follow-up for each?",
  "I've qualified all 3 new leads:<br><br>• <strong>James Carter</strong> — Score 71 🌡️ (DSCR, self-employed — needs more docs)<br>• <strong>Angela Moore</strong> — Score 68 🌡️ (FHA, first-time buyer — educate phase)<br>• <strong>David Kim</strong> — Score 44 ❄️ (timeline unclear — nurture campaign added)<br><br>Hot leads assigned to <strong>Sarah Williams</strong>. Nurture sequence activated for James and Angela.",
  "Here are this week's top knowledge base insights:<br><br>📊 <strong>63 questions</strong> about buying with low credit<br>📊 <strong>51 questions</strong> about down payment requirements<br>📊 <strong>34 questions</strong> about DSCR / self-employed loans<br><br>I recommend creating content around these 3 topics — blog posts, short videos, and FAQ pages would significantly reduce repeat AI queries.",
  "I've drafted a follow-up for Priya Patel:<br><br><em>\"Hi Priya! Looking forward to our call tomorrow at 2pm 🏠 I've pre-reviewed your refinance profile and you're in a great position. With your current rate at 7.2% and balance of $280K, we could potentially save you $280/month. See you tomorrow! — Sarah\"</em><br><br>Want me to send this via WhatsApp or adjust the tone?",
];
let aiaRespIdx = 0;

function aiaAppendAndRespond(text) {
  const msgs = document.getElementById('aiaChatMsgs');
  const m = llmModels[currentModelIdx];
  // User bubble
  const userDiv = document.createElement('div');
  userDiv.className = 'aia-msg user-msg';
  userDiv.innerHTML = `
    <div class="aia-msg-avatar user-av">KJ</div>
    <div>
      <div class="aia-bubble user-bubble">${text}</div>
      <div class="aia-bubble-meta" style="justify-content:flex-end;">Just now</div>
    </div>`;
  msgs.appendChild(userDiv);
  // Thinking bubble
  const thinkDiv = document.createElement('div');
  thinkDiv.className = 'aia-thinking-row';
  thinkDiv.innerHTML = `
    <div class="aia-msg-avatar bot-av">🤖</div>
    <div class="aia-thinking-bubble">
      <div class="thinking-dots"><div class="thinking-dot"></div><div class="thinking-dot"></div><div class="thinking-dot"></div></div>
    </div>`;
  msgs.appendChild(thinkDiv);
  msgs.scrollTop = msgs.scrollHeight;
  const thinkPhrases = ['Analysing data…','Checking pipeline…','Searching knowledge base…','Generating response…'];
  let ti = 0;
  const tInt = setInterval(() => {
    const dots = thinkDiv.querySelector('.aia-thinking-bubble');
    if (dots) dots.innerHTML = `<div style="font-size:12px;color:var(--text-muted);font-style:italic;">${thinkPhrases[ti++ % thinkPhrases.length]}</div><div class="thinking-dots" style="margin-top:4px;"><div class="thinking-dot"></div><div class="thinking-dot"></div><div class="thinking-dot"></div></div>`;
  }, 700);
  setTimeout(() => {
    clearInterval(tInt);
    thinkDiv.remove();
    const botDiv = document.createElement('div');
    botDiv.className = 'aia-msg';
    const resp = aiaResponses[aiaRespIdx++ % aiaResponses.length];
    botDiv.innerHTML = `
      <div class="aia-msg-avatar bot-av">🤖</div>
      <div>
        <div class="aia-bubble">${resp}</div>
        <div class="aia-bubble-meta"><span class="model-name">● ${m.name}</span><span>Just now</span></div>
      </div>`;
    msgs.appendChild(botDiv);
    msgs.scrollTop = msgs.scrollHeight;
  }, 1800 + Math.random()*600);
}

// ── ADMIN: ANIMATE CREDIT SCORE + LLM BARS ──
function animateAdmin() {
  // Credit score count-up
  const target = 847;
  let current = 0;
  const scoreEl = document.getElementById('creditScoreVal');
  const arc = document.getElementById('scoreArc');
  const duration = 1600;
  const start = performance.now();
  function tick(now) {
    const p = Math.min((now - start) / duration, 1);
    const ease = 1 - Math.pow(1 - p, 3);
    current = Math.round(ease * target);
    if (scoreEl) scoreEl.textContent = current.toLocaleString();
    // dasharray=471, full circle offset=0, empty offset=471
    const offset = 471 - (471 * 0.15) - (471 * 0.7 * ease); // 15% gap at bottom, fill to score
    if (arc) arc.setAttribute('stroke-dashoffset', offset);
    if (p < 1) requestAnimationFrame(tick);
  }
  requestAnimationFrame(tick);
  // LLM bars animate in
  const bars = [
    { id:'llmBar1', w:48 },
    { id:'llmBar2', w:29 },
    { id:'llmBar3', w:17 },
    { id:'llmBar4', w:6  },
  ];
  bars.forEach((b, i) => {
    setTimeout(() => {
      const el = document.getElementById(b.id);
      if (el) el.style.width = b.w + '%';
    }, 200 + i * 120);
  });
}


// ── WHATSAPP ──
function openWA() { document.getElementById('waScreen').classList.add('open'); }
function closeWA() { document.getElementById('waScreen').classList.remove('open'); }
function sendWAMessage() {
  const inp = document.getElementById('waInput');
  if (!inp.value.trim()) return;
  const msgs = document.getElementById('waMsgs');
  const wrap = document.createElement('div');
  wrap.className = 'wa-bubble-wrap outgoing';
  wrap.innerHTML = `<div><div class="wa-bubble outgoing">${inp.value}</div><div class="wa-bubble-time" style="text-align:right;">Now ✓</div></div>`;
  msgs.insertBefore(wrap, document.getElementById('waTyping'));
  inp.value = '';
  msgs.scrollTop = msgs.scrollHeight;
}

// ── TELEGRAM BOT ──
function openTgBot() { document.getElementById('tgBotScreen').classList.add('open'); }
function closeTgBot() { document.getElementById('tgBotScreen').classList.remove('open'); }
function tgBotReply(text) {
  const inp = document.getElementById('tgBotInput');
  inp.value = text;
  sendTgBotMessage();
}
function sendTgBotMessage() {
  const inp = document.getElementById('tgBotInput');
  if (!inp.value.trim()) return;
  const msgs = document.getElementById('tgBotMsgs');
  const typing = document.getElementById('tgBotTyping');
  const wrap = document.createElement('div');
  wrap.className = 'tg-bubble-wrap outgoing';
  wrap.innerHTML = `<div><div class="tg-bubble outgoing">${inp.value}</div><div class="tg-bubble-time" style="text-align:right;">Now</div></div>`;
  msgs.insertBefore(wrap, typing);
  inp.value = '';
  typing.style.display = 'flex';
  msgs.scrollTop = msgs.scrollHeight;
  const replies = [
    "Great! Based on that, you may qualify for an FHA loan with just 3.5% down. Would you like me to start your pre-qualification?\n\n<div class='tg-quick-replies'><div class='tg-qr' onclick=\"tgBotReply('Yes, start pre-qual')\">✅ Yes, let's go!</div><div class='tg-qr' onclick=\"tgBotReply('Tell me more')\">💡 Tell me more</div></div>",
    "I've noted that down! To get you the best loan options, I need a couple more details. What's your credit score range?\n\n<div class='tg-quick-replies'><div class='tg-qr' onclick=\"tgBotReply('700+')\">⭐ 700+</div><div class='tg-qr' onclick=\"tgBotReply('620-699')\">📊 620-699</div><div class='tg-qr' onclick=\"tgBotReply('Below 620')\">📉 Below 620</div></div>",
    "Perfect! You look like a strong candidate for a Florida first-time buyer program. Let me connect you with one of our loan officers who can lock in your rate. 🎉"
  ];
  setTimeout(() => {
    typing.style.display = 'none';
    const botWrap = document.createElement('div');
    botWrap.className = 'tg-bubble-wrap incoming';
    const botReply = replies[Math.floor(Math.random() * replies.length)];
    botWrap.innerHTML = `<div><div class="tg-bubble bot"><div class="tg-bot-tag">🤖 AMS Mortgage Bot</div>${botReply}</div><div class="tg-bubble-time">Now</div></div>`;
    msgs.insertBefore(botWrap, typing);
    msgs.scrollTop = msgs.scrollHeight;
  }, 1500);
}

// ── TELEGRAM CHANNEL ──
function openTgChannel() { document.getElementById('tgChannelScreen').classList.add('open'); }
function closeTgChannel() { document.getElementById('tgChannelScreen').classList.remove('open'); }

// ── QUAL OPTION CLICK ──
document.querySelectorAll('.qual-option').forEach(opt => {
  opt.addEventListener('click', function() {
    document.querySelectorAll('.qual-option').forEach(o => o.classList.remove('selected'));
    this.classList.add('selected');
  });
});

// ── TAB PILLS ──
document.querySelectorAll('.tab-row').forEach(row => {
  row.querySelectorAll('.tab-pill').forEach(pill => {
    pill.addEventListener('click', function() {
      row.querySelectorAll('.tab-pill').forEach(p => p.classList.remove('active'));
      this.classList.add('active');
    });
  });
});


PoweredBy

AMS Mortgage Intelligence Platform v3

✅ Low Risk - https://back-purple-ctnnvfuy-dp8ssh2xr0jl.edgeone.app/

Requests	IP Address	Location	AS Autonomous System
5	101.33.10.10	Frankfurt am Main, Hesse, Germany	AS139341ACE
4	142.250.154.95	United States	AS15169Google LLC
9	2	-	-

Security Scan Report: back-purple-ctnnvfuy-dp8ssh2xr0jl.edgeone.app

Summary

AI Security Verdict

Moderate Risk

Risk Factors

Safety Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

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