Summary
This website contacted 253 IPs in 11 countries across 103 domains to perform 452 HTTP transactions. The main domain is twn.hu.
Submitted URL: https://twn.hu/sztarok/2025/10/10/17-evesek-lettek-igy-nezek-ki-ma-lisa-marie-presley-ikerlanyai-foto
AI Security Verdict
Safe Website
Confidence: 88%
The site shows no security threats and can be considered legitimate.
Safety Factors
Details
Page Title
17 évesek lettek: így nézek ki ma Lisa Marie Presley ikerlányai - Fotó
Scan Type
public
Language
HU
Category
news/blog
(100%)Domain Information
The domain name 'twn.hu' uses the Hungarian country-code top-level domain (.hu) while skipping any subdomain. The core label 'twn' covers 3 characters containing zero vowels alongside three consonants. Segmentation suggests two words: tw, n. Median word length comes out to 1.5 characters. 'n' most often appears in Afrikaans. It also appears in Breton and Chinese (Zhuyin) contexts. Overall, 'twn.hu' reads as Afrikaans.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 200 | 185.89.210.153 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 1 | 104.26.14.211 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.186.161 | United States | AS15169GOOGLE |
| 1 | 185.51.66.10 | Gödöllő, Pest County, Hungary | AS47381Servergarden Kft. |
| 1 | 172.217.18.1 | United States | AS15169GOOGLE |
| 1 | 104.17.199.65 | United States | AS13335CLOUDFLARENET |
| 1 | 172.64.151.158 | United States | AS13335CLOUDFLARENET |
| 1 | 69.173.144.137 | Frankfurt am Main, Hesse, Germany | AS26667RUBICONPROJECT |
| 1 | 104.18.21.31 | United States | AS13335CLOUDFLARENET |
| 1 | 194.36.124.108 | Hungary | AS61998SzerverPlex.hu KFT. |
| 452 | 253 | - | - |
Detected Technologies16
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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