English

Within the application-focused generic top-level domain (.app), 'working-lavender-oceyl1bnqx-jhapivjy9s.edgeone.app' is registered and includes subdomain 'working-lavender-oceyl1bnqx-jhapivjy9s'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Breaking it apart gives two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

html/80/74/80748834-aa1a-4d61-ad90-f7ea1b00b44c.html.gz

f40e053ba85656357ddc1aeb6ef89e9484f6ff08d8e354505c4ae462d6c8aec3

223e06918cdd454972b9d078164dbdd4328e3578df3a164a6b6cbe4f1ee4a79e

bec8137f6da71706adaf05e864840ecc3763b44406bcd27fe5d24c0b1102c1e5

53034edd28b138ec4a1cafb1efb9df5003f40870e945515f12d1c6c6903371c0

robots

html/80/74/80748834-aa1a-4d61-ad90-f7ea1b00b44c_nodriver.html.gz

working-lavender-oceyl1bnqx-jhapivjy9s.edgeone.app

Prudence Malinki

MarkMonitor Inc.

edgeone.app


        async function mergeUnityWebFiles(baseUrl, filePrefix, totalParts, extension) {
            const partUrls = [];
            for (let i = 1; i <= totalParts; i++) {
                partUrls.push(`${baseUrl}/${filePrefix}_part${i}.${extension}`);
            }

            const buffers = [];
            for (let i = 0; i < totalParts; i++) {
                const response = await fetch(partUrls[i]);
                if (!response.ok) {
                    throw new Error(`Failed to load part: ${partUrls[i]}`);
                }
                const buffer = await response.arrayBuffer();
                buffers.push(buffer);

                const progress = ((i + 1) / totalParts) * 100;
                document.querySelector("#unity-progress-bar-full").style.width = `${progress}%`;
            }

            const totalLength = buffers.reduce((acc, buffer) => acc + buffer.byteLength, 0);
            const combinedBuffer = new Uint8Array(totalLength);
            let offset = 0;

            buffers.forEach((buffer) => {
                combinedBuffer.set(new Uint8Array(buffer), offset);
                offset += buffer.byteLength;
            });

            return combinedBuffer;
        }

        var container = document.querySelector("#unity-container");
        var canvas = document.querySelector("#unity-canvas");
        var loadingBar = document.querySelector("#unity-loading-bar");
        var progressBarFull = document.querySelector("#unity-progress-bar-full");
        var warningBanner = document.querySelector("#unity-warning");

        let myGameInstance = null;
        let isAdShown = false;

        function unityShowBanner(msg, type) {
            function updateBannerVisibility() {
                warningBanner.style.display = warningBanner.children.length ? 'block' : 'none';
            }
            var div = document.createElement('div');
            div.innerHTML = msg;
            warningBanner.appendChild(div);
            if (type == 'error') div.style = 'background: red; padding: 10px;';
            else {
                if (type == 'warning') div.style = 'background: yellow; padding: 10px;';
                setTimeout(function() {
                    warningBanner.removeChild(div);
                    updateBannerVisibility();
                }, 5000);
            }
            updateBannerVisibility();
        }

        function showAdOnClick() {
            if (!isAdShown && typeof sdk !== 'undefined' && typeof sdk.showBanner !== 'undefined') {
                sdk.showBanner();
                isAdShown = true;
            }
        }

        var buildUrl = "https://cdn.jsdelivr.net/gh/gru6nny/ohd@main/Build";
        var loaderUrl = buildUrl + "/Granny.loader.js";

        async function initializeGame() {
            try {
                const dataBuffer = await mergeUnityWebFiles(buildUrl, "Granny", 2, "data");
                const wasmBuffer = await mergeUnityWebFiles(buildUrl, "Granny", 2, "wasm");

                const dataBlobUrl = URL.createObjectURL(new Blob([dataBuffer], { type: "application/octet-stream" }));
                const wasmBlobUrl = URL.createObjectURL(new Blob([wasmBuffer], { type: "application/octet-stream" }));

                var config = {
                    dataUrl: dataBlobUrl,
                    frameworkUrl: buildUrl + "/Granny.framework.js",
                    codeUrl: wasmBlobUrl,
                    streamingAssetsUrl: "https://cdn.jsdelivr.net/gh/gru6nny/ohd@main/StreamingAssets",
                    companyName: "Anastasia Kazantseva",
                    productName: "Granny",
                    productVersion: "1.0",
                    showBanner: unityShowBanner,
                };

                var script = document.createElement("script");
                script.src = loaderUrl;
                script.onload = () => {
                    createUnityInstance(canvas, config, (progress) => {
                        progressBarFull.style.width = 100 * progress + "%";
                    }).then((unityInstance) => {
                        myGameInstance = unityInstance;
                        loadingBar.style.display = "none";
                        // Oyun yüklendiğinde tıklama olayını ekle
                        canvas.addEventListener('pointerdown', showAdOnClick);
                        canvas.addEventListener('touchstart', showAdOnClick);
                    }).catch((message) => {
                        alert(message);
                    });
                };

                document.body.appendChild(script);
            } catch (error) {
                console.error("Game initialization failed:", error);
            }
        }

        initializeGame();
    

jsDelivr

✅ Low Risk - https://working-lavender-oceyl1bnqx-jhapivjy9s.edgeone.app/

Requests	IP Address	Location	AS Autonomous System
9	43.152.26.58	Singapore	AS139341ACE
9	1	-	-

Security Scan Report: working-lavender-oceyl1bnqx-jhapivjy9s.edgeone.app

Summary

AI Security Verdict

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