Security Scan Report: kone.hu

Redirected to: https://www.kone.hu/

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Submitted: Jan 17, 2026, 2:33:34 PMCompleted: Jan 17, 2026, 2:35:00 PMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 12 domains to perform 1 HTTP transaction. The main domain is kone.hu.

Submitted URL: https://kone.hu

Effective URL: https://www.kone.hu/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no malicious activity and matches the official KONE brand domain.

Safety Factors
No credential or payment collection fields
Brand name matches official domain
No suspicious redirects or external links
Page appears to be a standard corporate homepage
Domain age information unavailable

Details

Page Title

KONE FŐOLDAL - KONE Magyarország

Scan Type

public

Language

🇭🇺

HU

(80% confidence)

Category

real estate property

(85%)

Domain Information

Domain 'kone.hu' uses the Hungarian country-code top-level domain (.hu) and has no subdomain. Its registrable label 'kone' stretches across 4 characters with 2 vowels and 2 consonants. Tokenizing the label suggests 2 words: k, one. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kone.hu

Page Load Overview

3.53s
Total Load Time
220
HTTP Requests
14
Domains
9.3 MB
Total Size

Language Analysis

Primary Language

🇭🇺Hungarian
Code: hu
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hu
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:hu
Text Length:39,890 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property85% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
85%
government public service
72%
healthcare medical
69%
documentation technical
65%
travel tourism
46%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.127.133.86Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1813.32.121.3Germany
18142.250.185.163Netherlands
18172.64.155.119United States
AS13335CLOUDFLARENET
1818.66.147.33Unknown
1851.137.18.253Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1823.52.181.12Unknown
1823.36.162.203UnknownUnknown
18104.19.148.8UnknownUnknown
182.16.238.5UnknownUnknown
22012--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B144186044F21037116380C6F6E7AF05AED3D11BCA0A889477FE47E86FDBE415D5B2AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:6k6MQkpWwWvAwwvWEhvw8vgiRfSM1o9M8jMMCMQHMx8M8MQM8MRBLX1+gMdxMwHs:m8U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:263987:7EcAQEIFGEcNMmKVlDEQEktgAPT2BRwAMGCJBIOdHSCIwLcDEa1TQEAQ5CJlAQaoBS8IAISCANwPADgVBjCOHmTEIylzMQym

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:ffbf1018000000ff
Perceptual Hash:d2ccec739b48f442
Difference Hash:8075f5a9c9c89931
Wavelet Hash:ffff381c0c0000ff
Color Hash:#33862d

Scan History

Scan history not available

Unable to load historical scan data