Security Scan Report: vm16-normal-no1a.tiktokw.eu

Site favicon
Submitted: Jun 12, 2026, 9:55:49 PMCompleted: Jun 12, 2026, 9:57:34 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vm16-normal-no1a.tiktokw.eu.

Submitted URL: https://vm16-normal-no1a.tiktokw.eu

The Cisco Umbrella rank of the primary domain is #29,400 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #29,400.

Safety Factors
Well-established domain (ranked #29,400)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

unknown

(0%)

Domain Information

Within the .eu country-code top-level domain, 'vm16-normal-no1a.tiktokw.eu' is registered; it also runs on subdomain 'vm16-normal-no1a'. Its registrable label 'tiktokw' stretches across 7 characters holding two vowels versus 5 consonants. Tokenizing the label suggests three words: tik, to, kw. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vm16-normal-no1a.tiktokw.eu

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
Text Length:27 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.22.50.133Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8C01276C560191A5332ABECAE82B5588AC9B20994314D42BAD4E4998AD6956C843284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL9RA4Kex0KYS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96IKexzYNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a148a338ea026a15b5fcae70c9aced73

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:00ffffffffffffff
Perceptual Hash:87070707070f1f7f
Difference Hash:8000000000000000
Wavelet Hash:00cf0f0ff0f0f0f0
Color Hash:#1f4693

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data