German

You're looking at domain 'direct-harlequin-g4wzxlup97-7k5dtug7tu.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'direct-harlequin-g4wzxlup97-7k5dtug7tu'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

html/20/11/2011143b-e4f1-46ad-a3f2-2b7b401ad510.html.gz

3b3a1c97de3ce65ec5b28c28d9f2805a738e9651622691ba771aa95c79d41d51

e30e06b6ecb42c578a06c24ca2e6c290ae4e0fe3135de94c2fbf334a2cfc81ca

html/20/11/2011143b-e4f1-46ad-a3f2-2b7b401ad510_nodriver.html.gz

3D Track Racer

Prudence Malinki

MarkMonitor Inc.

edgeone.app

Abuse

Admin

Cloudflare-NOC

Cloudflare, Inc.

CLOUDFLARENET



const scene = new THREE.Scene()
scene.background = new THREE.Color(0x87ceeb)

const camera = new THREE.PerspectiveCamera(
75,
window.innerWidth/window.innerHeight,
0.1,
1000
)

const renderer = new THREE.WebGLRenderer({antialias:true})
renderer.setSize(window.innerWidth,window.innerHeight)
document.body.appendChild(renderer.domElement)

const light = new THREE.DirectionalLight(0xffffff,1)
light.position.set(10,20,10)
scene.add(light)

scene.add(new THREE.AmbientLight(0xffffff,0.4))

// ground
const ground = new THREE.Mesh(
new THREE.PlaneGeometry(300,300),
new THREE.MeshLambertMaterial({color:0x2f7f2f})
)
ground.rotation.x = -Math.PI/2
scene.add(ground)

// TRACK SHAPE WITH TURNS
const trackPoints = [
new THREE.Vector3(0,0,0),
new THREE.Vector3(20,0,-20),
new THREE.Vector3(50,0,-20),
new THREE.Vector3(70,0,0),
new THREE.Vector3(50,0,40),
new THREE.Vector3(0,0,40),
new THREE.Vector3(-30,0,10),
new THREE.Vector3(0,0,0)
]

const curve = new THREE.CatmullRomCurve3(trackPoints,true)

const trackGeo = new THREE.TubeGeometry(curve,200,2.5,8,true)
const trackMat = new THREE.MeshLambertMaterial({color:0x444444})

const track = new THREE.Mesh(trackGeo,trackMat)
scene.add(track)

// CAR
const car = new THREE.Mesh(
new THREE.BoxGeometry(2,1,4),
new THREE.MeshLambertMaterial({color:0xff0000})
)

scene.add(car)

let keys={}
document.addEventListener("keydown",e=>keys[e.key]=true)
document.addEventListener("keyup",e=>keys[e.key]=false)

let speed=0
let t=0
let offset=0

let startTime=Date.now()
let best=null

function update(){

if(keys["ArrowUp"]) speed+=0.0008
if(keys["ArrowDown"]) speed-=0.001

speed*=0.98
speed=Math.max(0,Math.min(speed,0.01))

if(keys["ArrowLeft"]) offset-=0.05
if(keys["ArrowRight"]) offset+=0.05

t += speed
if(t>1){
finishLap()
t=0
}

const pos = curve.getPointAt(t)
const tangent = curve.getTangentAt(t)

car.position.copy(pos)

const axis = new THREE.Vector3(0,1,0)
const angle = Math.atan2(tangent.x,tangent.z)

car.rotation.y = angle

// sideways movement
const side = new THREE.Vector3()
side.crossVectors(axis,tangent).normalize()
car.position.add(side.multiplyScalar(offset))

// CAMERA FOLLOW
camera.position.set(
car.position.x,
car.position.y+8,
car.position.z+12
)

camera.lookAt(car.position)

let time=(Date.now()-startTime)/1000
document.getElementById("time").textContent=time.toFixed(2)

}

function finishLap(){

let time=(Date.now()-startTime)/1000

if(!best || time<best){
best=time
document.getElementById("best").textContent=best.toFixed(2)
}

startTime=Date.now()

}

function animate(){
requestAnimationFrame(animate)
update()
renderer.render(scene,camera)
}

animate()



jsDelivr

Three.js

✅ Low Risk - https://direct-harlequin-g4wzxlup97-7k5dtug7tu.edgeone.app/

Requests	IP Address	Location	AS Autonomous System
2	43.152.26.58	Singapore	AS139341ACE
1	104.16.174.226	Singapore	AS13335
3	2	-	-

Security Scan Report: direct-harlequin-g4wzxlup97-7k5dtug7tu.edgeone.app

Summary

AI Security Verdict

Low 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

Detected Technologies2

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