adult content

English

The domain name 'swift-x3q6sttxyv.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'swift-x3q6sttxyv'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. It segments into two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

html/03/b0/03b0efe9-f1e7-4988-adf1-a879e93f2322.html.gz

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

fbc45926e6b46845a0f905552a0e0b1331049bff1115ecf94dbe0904d895e710

176e894661aa9cdc9a5cba6c720044cbbf7b8bd80d1c9a142a7c24b1b6c50d15

0d9ee5e5aeea99c7b119761081c0ef80fc7cb4c7244d48c8ba73f6a8581f0f5a

48f2513d17cc38543a7f269cd75a822dfd46e35cb5d0346fedaab9b86671bd48

f1ca67c613eed1a32bfe88a18e2b1c317443bd9348ae48e49a9d43dd953df324

viewport

html/03/b0/03b0efe9-f1e7-4988-adf1-a879e93f2322_nodriver.html.gz

Apex Capital Pro - Advanced Analytics

Prudence Malinki

MarkMonitor Inc.

edgeone.app

Abuse

Admin

Cloudflare-NOC

Cloudflare, Inc.

CLOUDFLARENET


    // Data
    const yearlyData = [
      { year: 2005, net: 12.4, gross: 15.8, sp500: 4.9, vol: 8.2, sharpe: 1.51, maxDD: -3.2 },
      { year: 2006, net: 18.7, gross: 23.4, sp500: 15.8, vol: 7.8, sharpe: 2.40, maxDD: -2.8 },
      { year: 2007, net: 22.3, gross: 27.9, sp500: 5.5, vol: 9.1, sharpe: 2.45, maxDD: -4.1 },
      { year: 2008, net: -4.2, gross: -2.1, sp500: -37.0, vol: 14.2, sharpe: -0.30, maxDD: -8.7 },
      { year: 2009, net: 31.5, gross: 39.4, sp500: 26.5, vol: 11.3, sharpe: 2.79, maxDD: -5.2 },
      { year: 2010, net: 16.8, gross: 21.0, sp500: 15.1, vol: 8.9, sharpe: 1.89, maxDD: -4.8 },
      { year: 2011, net: 8.2, gross: 10.3, sp500: 2.1, vol: 10.4, sharpe: 0.79, maxDD: -6.1 },
      { year: 2012, net: 14.6, gross: 18.3, sp500: 16.0, vol: 7.2, sharpe: 2.03, maxDD: -3.4 },
      { year: 2013, net: 21.4, gross: 26.8, sp500: 32.4, vol: 6.8, sharpe: 3.15, maxDD: -2.9 },
      { year: 2014, net: 11.2, gross: 14.0, sp500: 13.7, vol: 7.5, sharpe: 1.49, maxDD: -4.2 },
      { year: 2015, net: 7.8, gross: 9.8, sp500: 1.4, vol: 9.8, sharpe: 0.80, maxDD: -5.8 },
      { year: 2016, net: 13.4, gross: 16.8, sp500: 12.0, vol: 8.1, sharpe: 1.65, maxDD: -4.1 },
      { year: 2017, net: 19.2, gross: 24.0, sp500: 21.8, vol: 5.9, sharpe: 3.25, maxDD: -2.1 },
      { year: 2018, net: 5.6, gross: 7.0, sp500: -4.4, vol: 10.2, sharpe: 0.55, maxDD: -7.3 },
      { year: 2019, net: 24.8, gross: 31.0, sp500: 31.5, vol: 7.4, sharpe: 3.35, maxDD: -3.2 },
      { year: 2020, net: 28.6, gross: 35.8, sp500: 18.4, vol: 12.8, sharpe: 2.23, maxDD: -12.3 },
      { year: 2021, net: 19.4, gross: 24.3, sp500: 28.7, vol: 8.6, sharpe: 2.26, maxDD: -4.5 },
      { year: 2022, net: 4.2, gross: 5.3, sp500: -18.1, vol: 11.4, sharpe: 0.37, maxDD: -6.8 },
      { year: 2023, net: 21.8, gross: 27.3, sp500: 26.3, vol: 8.2, sharpe: 2.66, maxDD: -3.9 },
      { year: 2024, net: 24.7, gross: 30.9, sp500: 23.8, vol: 7.9, sharpe: 3.13, maxDD: -2.8 }
    ];

    const monthlyData = {
      2024: [2.8, 1.4, 3.2, -0.8, 2.1, 1.9, 3.4, -1.2, 2.6, 3.1, 2.8, 1.8],
      2023: [3.1, -0.6, 1.8, 2.4, 0.9, 2.7, 1.5, -1.4, -0.8, 2.9, 4.2, 3.6],
      2022: [-1.2, -2.4, 1.8, -0.6, 0.4, -2.1, 3.2, 1.4, -1.8, 2.6, 1.9, 0.8],
      2021: [1.4, 2.1, 1.8, 2.6, 0.8, 1.2, 1.9, 2.4, -0.6, 1.8, 0.4, 2.8],
      2020: [-1.8, -4.2, -6.4, 8.7, 4.2, 2.8, 3.6, 2.1, -0.8, 1.4, 5.2, 4.8],
      2019: [3.2, 1.8, 1.4, 2.6, -1.2, 3.8, 0.8, -0.4, 1.2, 2.4, 2.1, 4.2],
      2018: [2.4, -2.8, 0.6, 1.2, 1.8, 0.4, 1.6, 2.1, 0.8, -3.2, 0.6, -0.8],
      2017: [1.8, 2.4, 0.6, 1.2, 1.4, 0.8, 2.1, 0.4, 1.6, 2.8, 1.2, 1.9],
      2016: [-0.8, -1.4, 2.8, 1.2, 0.6, -0.4, 2.4, 1.8, 0.6, -0.8, 2.1, 4.2],
      2015: [0.4, 2.1, -0.6, 1.2, 0.8, -1.8, 0.6, -2.4, -1.2, 3.6, 0.8, 2.4]
    };

    const stressTests = [
      { event: 'Financial Crisis 2008', period: 'Sep 08 - Mar 09', sp500: -46.1, apex: -8.7 },
      { event: 'Flash Crash 2010', period: 'May 2010', sp500: -8.2, apex: -2.1 },
      { event: 'EU Debt Crisis', period: 'Jul - Oct 2011', sp500: -16.3, apex: -4.2 },
      { event: 'China Devaluation', period: 'Aug 2015', sp500: -11.2, apex: -3.4 },
      { event: 'Q4 2018 Selloff', period: 'Oct - Dec 2018', sp500: -19.8, apex: -5.6 },
      { event: 'COVID-19 Crash', period: 'Feb - Mar 2020', sp500: -33.9, apex: -12.3 },
      { event: '2022 Bear Market', period: 'Jan - Oct 2022', sp500: -25.4, apex: 4.2 }
    ];

    const holdings = [
      { symbol: 'NVDA', sector: 'Technology', weight: 4.2, position: 'Long', entry: '2023-01-15', pnl: 12.4 },
      { symbol: 'MSFT', sector: 'Technology', weight: 3.8, position: 'Long', entry: '2023-02-20', pnl: 5.2 },
      { symbol: 'AMZN', sector: 'Consumer', weight: 3.5, position: 'Long', entry: '2023-03-10', pnl: 8.7 },
      { symbol: 'JPM', sector: 'Financials', weight: 2.9, position: 'Long', entry: '2023-04-05', pnl: 3.1 },
      { symbol: 'TSLA', sector: 'Consumer', weight: 2.4, position: 'Short', entry: '2023-05-12', pnl: 6.8 },
      { symbol: 'GOOGL', sector: 'Technology', weight: 2.2, position: 'Long', entry: '2023-06-08', pnl: -2.1 },
      { symbol: 'UNH', sector: 'Healthcare', weight: 2.0, position: 'Long', entry: '2023-07-15', pnl: 1.8 },
      { symbol: 'XOM', sector: 'Energy', weight: 1.8, position: 'Short', entry: '2023-08-20', pnl: -3.4 },
      { symbol: 'V', sector: 'Financials', weight: 1.6, position: 'Long', entry: '2023-09-10', pnl: 4.2 },
      { symbol: 'MA', sector: 'Financials', weight: 1.4, position: 'Long', entry: '2023-10-05', pnl: 3.8 },
      { symbol: 'PG', sector: 'Consumer', weight: 1.3, position: 'Long', entry: '2023-11-12', pnl: 2.1 },
      { symbol: 'WMT', sector: 'Retail', weight: 1.2, position: 'Long', entry: '2024-01-08', pnl: 0.8 },
      { symbol: 'KO', sector: 'Beverages', weight: 1.1, position: 'Long', entry: '2024-02-14', pnl: 1.5 },
      { symbol: 'MCD', sector: 'Food', weight: 1.0, position: 'Long', entry: '2024-03-10', pnl: 2.3 },
      { symbol: 'AXP', sector: 'Financials', weight: 0.9, position: 'Long', entry: '2024-04-05', pnl: 1.2 }
    ];

    const defaultConfig = {
      fund_name: 'Apex Capital Partners',
      tagline: 'Institutional Multi-Strategy Fund'
    };

    let charts = {};
    let currentPage = 'dashboard';

    function toggleMenu() {
      const menu = document.getElementById('nav-menu');
      if (menu.style.maxHeight && menu.style.maxHeight !== '0px') {
        menu.style.maxHeight = '0px';
      } else {
        menu.style.maxHeight = menu.scrollHeight + 'px';
      }
    }

    function navigate(page) {
      // Hide all pages
      document.querySelectorAll('.page-content').forEach(el => el.classList.add('hidden'));
      
      // Show selected page
      const pageEl = document.getElementById('page-' + page);
      if (pageEl) {
        pageEl.classList.remove('hidden');
        currentPage = page;
      }

      // Update nav links
      document.querySelectorAll('.nav-link').forEach(el => el.classList.remove('active'));
      event.target.classList.add('active');

      // Update breadcrumb
      const breadcrumbNames = {
        dashboard: 'Dashboard',
        performance: 'Performance',
        portfolio: 'Portfolio',
        risk: 'Risk Analysis',
        factors: 'Factor Analysis',
        holdings: 'Holdings',
        scenarios: 'Scenarios'
      };
      document.getElementById('breadcrumb').innerHTML = 
        `<span class="breadcrumb-link" onclick="navigate('dashboard')">Dashboard</span> / <span>${breadcrumbNames[page] || page}</span>`;

      // Initialize charts if needed
      setTimeout(() => {
        if (page === 'performance' && !charts.cumulative) initCumulativeChart();
        if (page === 'factors' && !charts.factor) initFactorChart();
        if (page === 'scenarios' && !charts.scenario) initScenarioChart();
      }, 100);
    }

    function showYearDetail(year) {
      const data = yearlyData.find(d => d.year === year);
      document.getElementById('modal-title').textContent = `Year ${year} Performance`;
      document.getElementById('modal-body').innerHTML = `
        <div><strong>Net Return:</strong> <span class="metric-up">${data.net >= 0 ? '+' : ''}${data.net}%</span></div>
        <div><strong>Gross Return:</strong> <span class="metric-up">${data.gross >= 0 ? '+' : ''}${data.gross}%</span></div>
        <div><strong>S&P 500:</strong> <span>${data.sp500 >= 0 ? '+' : ''}${data.sp500}%</span></div>
        <div><strong>Alpha:</strong> <span class="metric-up">${(data.net - data.sp500).toFixed(1)}%</span></div>
        <div><strong>Volatility:</strong> <span>${data.vol}%</span></div>
        <div><strong>Sharpe Ratio:</strong> <span>${data.sharpe.toFixed(2)}</span></div>
        <div><strong>Max Drawdown:</strong> <span class="metric-down">${data.maxDD}%</span></div>
      `;
      document.getElementById('year-modal').classList.add('active');
    }

    function closeModal() {
      document.getElementById('year-modal').classList.remove('active');
    }

    function renderDashboardRecentYears() {
      const tbody = document.getElementById('dashboard-recent-years');
      tbody.innerHTML = yearlyData.slice(-5).reverse().map(row => `
        <tr class="data-row border-b border-gray-100">
          <td class="px-4 py-3">${row.year}</td>
          <td class="px-4 py-3"><span class="${row.net >= 0 ? 'metric-up' : 'metric-down'} mono">${row.net >= 0 ? '+' : ''}${row.net}%</span></td>
          <td class="px-4 py-3"><span class="${row.gross >= 0 ? 'metric-up' : 'metric-down'} mono">${row.gross >= 0 ? '+' : ''}${row.gross}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.sp500 >= 0 ? '+' : ''}${row.sp500}%</span></td>
          <td class="px-4 py-3"><span class="metric-up mono">${(row.net - row.sp500).toFixed(1)}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.vol}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.sharpe.toFixed(2)}</span></td>
        </tr>
      `).join('');
    }

    function renderAnnualReturnsTable() {
      const tbody = document.getElementById('annual-returns-table');
      tbody.innerHTML = yearlyData.slice().reverse().map(row => `
        <tr class="data-row border-b border-gray-100">
          <td class="px-4 py-3 font-medium">${row.year}</td>
          <td class="px-4 py-3"><span class="${row.net >= 0 ? 'metric-up' : 'metric-down'} mono">${row.net >= 0 ? '+' : ''}${row.net}%</span></td>
          <td class="px-4 py-3"><span class="${row.gross >= 0 ? 'metric-up' : 'metric-down'} mono">${row.gross >= 0 ? '+' : ''}${row.gross}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.sp500 >= 0 ? '+' : ''}${row.sp500}%</span></td>
          <td class="px-4 py-3"><span class="metric-up mono">${(row.net - row.sp500).toFixed(1)}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.vol}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.sharpe.toFixed(2)}</span></td>
          <td class="px-4 py-3"><span class="metric-down mono">${row.maxDD}%</span></td>
          <td class="px-4 py-3"><button onclick="showYearDetail(${row.year})" class="text-blue-600 hover:text-blue-700 font-medium">Details</button></td>
        </tr>
      `).join('');
    }

    function renderMonthlyHeatmap() {
      const tbody = document.getElementById('monthly-heatmap-table');
      tbody.innerHTML = Object.keys(monthlyData).sort((a, b) => b - a).map(year => {
        const months = monthlyData[year];
        const ytd = months.reduce((a, b) => a + b, 0);
        return `
          <tr class="data-row">
            <td class="px-2 py-2 font-medium">${year}</td>
            ${months.map(v => `
              <td class="px-1 py-2 text-center text-xs">
                <span class="inline-block w-full rounded p-1" style="background: ${v >= 0 ? 'rgba(16, 185, 129, ' + Math.min(Math.abs(v) / 8, 1) * 0.8 + ')' : 'rgba(220, 38, 38, ' + Math.min(Math.abs(v) / 8, 1) * 0.8 + ')'} ; color: ${v >= 0 ? '#065f46' : '#7f1d1d'}">
                  <strong>${v >= 0 ? '+' : ''}${v}</strong>
                </span>
              </td>
            `).join('')}
            <td class="px-2 py-2 text-right"><span class="${ytd >= 0 ? 'metric-up' : 'metric-down'} mono font-bold">${ytd >= 0 ? '+' : ''}${ytd.toFixed(1)}%</span></td>
          </tr>
        `;
      }).join('');
    }

    function renderHoldingsTable() {
      const tbody = document.getElementById('holdings-table');
      tbody.innerHTML = holdings.slice(0, 10).map((h, i) => `
        <tr class="data-row">
          <td class="px-4 py-3">${i + 1}</td>
          <td class="px-4 py-3 font-medium">${h.symbol}</td>
          <td class="px-4 py-3">${h.sector}</td>
          <td class="px-4 py-3 mono">${h.weight}%</td>
          <td class="px-4 py-3"><span class="badge ${h.position === 'Long' ? 'up' : 'down'}">${h.position}</span></td>
          <td class="px-4 py-3"><span class="${h.pnl >= 0 ? 'metric-up' : 'metric-down'}">${h.pnl >= 0 ? '+' : ''}${h.pnl}%</span></td>
          <td class="px-4 py-3"><span class="metric-up">+${(h.pnl * 2.4).toFixed(1)}%</span></td>
        </tr>
      `).join('');
    }

    function renderAllHoldingsTable() {
      const tbody = document.getElementById('all-holdings-table');
      tbody.innerHTML = holdings.map((h, i) => `
        <tr class="data-row">
          <td class="px-4 py-3">${i + 1}</td>
          <td class="px-4 py-3 font-medium">${h.symbol}</td>
          <td class="px-4 py-3"><span class="badge neutral">${h.position}</span></td>
          <td class="px-4 py-3">${h.sector}</td>
          <td class="px-4 py-3 mono">${h.weight}%</td>
          <td class="px-4 py-3"><span class="badge ${h.position === 'Long' ? 'up' : 'down'}">${h.position}</span></td>
          <td class="px-4 py-3 text-xs">${h.entry}</td>
          <td class="px-4 py-3"><span class="${h.pnl >= 0 ? 'metric-up' : 'metric-down'}">${h.pnl >= 0 ? '+' : ''}${h.pnl}%</span></td>
          <td class="px-4 py-3"><button onclick="alert('Details for ${h.symbol}')" class="text-blue-600 hover:text-blue-700 font-medium">→</button></td>
        </tr>
      `).join('');
    }

    function renderCorrelationMatrix() {
      const tbody = document.getElementById('correlation-matrix');
      const corrs = [
        { name: 'Fund', fund: '1.00', sp500: '0.42', bonds: '0.18', gold: '0.12', vix: '-0.31' },
        { name: 'S&P 500', fund: '0.42', sp500: '1.00', bonds: '-0.08', gold: '-0.05', vix: '-0.72' },
        { name: 'Bonds', fund: '0.18', sp500: '-0.08', bonds: '1.00', gold: '0.34', vix: '0.15' },
        { name: 'Gold', fund: '0.12', sp500: '-0.05', bonds: '0.34', gold: '1.00', vix: '0.28' }
      ];
      tbody.innerHTML = corrs.map(row => `
        <tr class="data-row border-b border-gray-200">
          <td class="px-4 py-3 font-medium">${row.name}</td>
          <td class="px-4 py-3 text-center rounded ${row.fund >= 0.7 ? 'bg-blue-100' : 'bg-gray-50'}">${row.fund}</td>
          <td class="px-4 py-3 text-center rounded ${row.sp500 >= 0.7 ? 'bg-blue-100' : 'bg-gray-50'}">${row.sp500}</td>
          <td class="px-4 py-3 text-center rounded ${row.bonds >= 0.7 ? 'bg-blue-100' : 'bg-gray-50'}">${row.bonds}</td>
          <td class="px-4 py-3 text-center rounded ${row.gold >= 0.7 ? 'bg-blue-100' : 'bg-gray-50'}">${row.gold}</td>
          <td class="px-4 py-3 text-center rounded ${row.vix <= -0.5 ? 'bg-red-100' : 'bg-gray-50'}">${row.vix}</td>
        </tr>
      `).join('');
    }

    function renderStressTests() {
      const tbody = document.getElementById('stress-tests-table');
      tbody.innerHTML = stressTests.map(t => `
        <tr class="data-row">
          <td class="px-4 py-3 font-medium">${t.event}</td>
          <td class="px-4 py-3 text-xs">${t.period}</td>
          <td class="px-4 py-3"><span class="metric-down mono">${t.sp500}%</span></td>
          <td class="px-4 py-3"><span class="metric-down mono">${t.apex}%</span></td>
          <td class="px-4 py-3"><span class="metric-up mono">+${(t.sp500 - t.apex).toFixed(1)}%</span></td>
          <td class="px-4 py-3"><span class="badge up">Outperformed</span></td>
        </tr>
      `).join('');
    }

    function initCumulativeChart() {
      if (charts.cumulative) return;
      const ctx = document.getElementById('cumulative-chart');
      if (!ctx) return;
      
      let cum = 1;
      const data = [1];
      yearlyData.forEach(d => {
        cum *= (1 + d.net / 100);
        data.push(parseFloat(cum.toFixed(2)));
      });

      charts.cumulative = new Chart(ctx.getContext('2d'), {
        type: 'line',
        data: {
          labels: yearlyData.map(d => d.year),
          datasets: [{
            label: 'Cumulative Growth ($1M)',
            data: data,
            borderColor: '#3b82f6',
            backgroundColor: 'rgba(59, 130, 246, 0.1)',
            borderWidth: 3,
            fill: true,
            tension: 0.4,
            pointRadius: 0,
            pointHoverRadius: 6,
            pointBackgroundColor: '#3b82f6'
          }]
        },
        options: {
          responsive: true,
          maintainAspectRatio: false,
          plugins: {
            legend: { display: false },
            tooltip: { backgroundColor: '#1f2937', titleColor: '#fff', bodyColor: '#fff' }
          },
          scales: {
            y: { beginAtZero: false, grid: { color: '#e5e7eb' }, ticks: { color: '#6b7280' } },
            x: { grid: { display: false }, ticks: { color: '#6b7280' } }
          }
        }
      });
    }

    function initFactorChart() {
      if (charts.factor) return;
      const ctx = document.getElementById('factor-chart');
      if (!ctx) return;

      charts.factor = new Chart(ctx.getContext('2d'), {
        type: 'bar',
        data: {
          labels: ['Value', 'Momentum', 'Quality', 'Low Vol', 'Dividend'],
          datasets: [{
            label: 'Factor Contribution (%)',
            data: [2.34, 1.82, 3.12, 1.56, 2.43],
            backgroundColor: ['#3b82f6', '#2563eb', '#1d4ed8', '#1e40af', '#1e3a8a'],
            borderRadius: 6
          }]
        },
        options: {
          indexAxis: 'y',
          responsive: true,
          maintainAspectRatio: false,
          plugins: { legend: { display: false } },
          scales: { x: { beginAtZero: true, grid: { color: '#e5e7eb' } }, y: { grid: { display: false } } }
        }
      });
    }

    function initScenarioChart() {
      if (charts.scenario) return;
      const ctx = document.getElementById('scenario-chart');
      if (!ctx) return;

      charts.scenario = new Chart(ctx.getContext('2d'), {
        type: 'bar',
        data: {
          labels: stressTests.map(t => t.event.split(' ')[0]),
          datasets: [
            {
              label: 'S&P 500',
              data: stressTests.map(t => t.sp500),
              backgroundColor: '#ef4444'
            },
            {
              label: 'Apex Capital',
              data: stressTests.map(t => t.apex),
              backgroundColor: '#3b82f6'
            }
          ]
        },
        options: {
          responsive: true,
          maintainAspectRatio: false,
          plugins: { legend: { display: true, position: 'top' } },
          scales: {
            y: { grid: { color: '#e5e7eb' }, ticks: { callback: v => v + '%' } },
            x: { grid: { display: false } }
          }
        }
      });
    }

    function applyConfig(config) {
      document.getElementById('fund-name').textContent = config.fund_name || defaultConfig.fund_name;
      document.getElementById('tagline').textContent = config.tagline || defaultConfig.tagline;
    }

    function init() {
      renderDashboardRecentYears();
      renderAnnualReturnsTable();
      renderMonthlyHeatmap();
      renderHoldingsTable();
      renderAllHoldingsTable();
      renderCorrelationMatrix();
      renderStressTests();

      if (window.elementSdk) {
        window.elementSdk.init({
          defaultConfig,
          onConfigChange: async (config) => { applyConfig(config); },
          mapToCapabilities: () => ({ recolorables: [], borderables: [], fontEditable: undefined, fontSizeable: undefined }),
          mapToEditPanelValues: (config) => new Map([
            ['fund_name', config.fund_name || defaultConfig.fund_name],
            ['tagline', config.tagline || defaultConfig.tagline]
          ])
        });
      }

      applyConfig(defaultConfig);
    }

    init();
  

Requests	IP Address	Location	AS Autonomous System
6	104.17.25.14	United States	AS13335Cloudflare, Inc.
2	172.217.20.131	France	AS16276
2	43.152.26.58	Singapore	AS139341ACE
2	46.105.222.161	Unknown	AS13335
2	172.217.16.202	Unknown	Unknown
2	172.67.68.11	United States	AS13335Cloudflare, Inc.
16	6	-	-

Security Scan Report: swift-x3q6sttxyv.edgeone.app

Summary

AI Security Verdict

Safe Website

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

Detected Technologies3

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