Security Scan Report: snaptikkk-kyysapeka-9xxzsrfh23.edgeone.app

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Submitted: Dec 21, 2025, 5:26:41 PMCompleted: Dec 21, 2025, 5:27:16 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 5 domains to perform 9 HTTP transactions. The main domain is snaptikkk-kyysapeka-9xxzsrfh23.edgeone.app and was registered NaN years ago.

Submitted URL: https://snaptikkk-kyysapeka-9xxzsrfh23.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

High risk due to TikTok brand impersonation on a low‑rank, unrelated domain.

Risk Factors
Brand impersonation of TikTok on an unrelated domain
Low Cisco Umbrella ranking for a site claiming to be a TikTok downloader
Unusual subdomain pattern (snaptikkk-kyysapeka-9xxzsrfh23.edgeone.app)
Domain age information unavailable

Details

Page Title

TikTok Downloader — Kyys Mod Apeka

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

download file sharing

(84%)

Domain Information

You're looking at domain 'snaptikkk-kyysapeka-9xxzsrfh23.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'snaptikkk-kyysapeka-9xxzsrfh23'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Word splitting yields two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://snaptikkk-kyysapeka-9xxzsrfh23.edgeone.app/

Page Load Overview

1.60s
Total Load Time
9
HTTP Requests
5
Domains
416 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:366 chars
Detector Agreement:33%

Website Classification

Primary Category

download file sharing84% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
84%
social media network
80%
entertainment media
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.17.24.14United States
AS13335CLOUDFLARENET
1172.217.23.106United States
AS15169GOOGLE
1142.250.185.163United States
AS15169GOOGLE
143.152.26.58Singapore
146.105.222.81Lille, Hauts-de-France, France
AS16276OVH SAS
1104.17.25.14United States
AS13335CLOUDFLARENET
96--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A382969A16E710186517D1A47BFB970A23A8D007D50FCD6D7EEC118C8F8669868F3BDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:fd8mFoYPaUo2SUJpI306m9FCj5S9UYm1bzq5qnXM:imFBoNUJpgm9Fy5SSYm1bzka8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18459:NgSpBDmBSDABBNQNLYvggnqXgYCwQUcgQECSMlDYJC0DACpsxkAvSSwSQYFAgVgoAoYQMnXaYEiAShlyA5VoAgiwFIoEwQDn

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:0101070141f9f1f9
Perceptual Hash:aa354a4a4aafb5a5
Difference Hash:7105964589112111
Wavelet Hash:99010703c1f9f9f9
Color Hash:#bcd279

Scan History

Scan history not available

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