Security Scan Report: 24.hu

Submitted: Nov 21, 2025, 11:32:32 AMCompleted: Nov 21, 2025, 11:35:14 AMpubliccompleted
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Summary

This website contacted 151 IPs in 9 countries across 54 domains to perform 233 HTTP transactions. The main domain is 24.hu.

Submitted URL: https://24.hu/kultura/2025/11/21/goldie-hawn-80-eves-szuletesnap-galeria-kepvalogatas/

The Cisco Umbrella rank of the primary domain is #158,072 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Page impersonates Google on a low‑rank domain, indicating high phishing risk.

Risk Factors
Brand impersonation on a low‑rank domain
Low Cisco Umbrella ranking for a site claiming a well‑known brand
Domain age information unavailable

Details

Page Title

Go-go táncos, szexszimbólum és Mikulásné – a 80 éves Goldie Hawn pályája képekben | 24.hu

Scan Type

public

Language

🇭🇺

HU

(80% confidence)

Category

news/blog

(35%)

Domain Information

Within the Hungarian country-code top-level domain (.hu), '24.hu' is registered without a subdomain. Count 2 characters in '24' with zero vowels and 0 consonants, plus two digits. Breaking it apart gives 1 word: 24. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://24.hu/kultura/2025/11/21/goldie-hawn-80-eves-szuletesnap-galeria-kepvalogatas/

Page Load Overview

2.03s
Total Load Time
233
HTTP Requests
54
Domains
3.7 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:4,732 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
corporate
35%
entertainment media
29%
forum
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6077.111.91.114Hungary
AS197248Dravanet Co Ltd.
133.160.150.61United States
AS16509AMAZON-02
12185.51.66.117Gödöllő, Pest County, Hungary
AS47381Servergarden Kft.
113.70.33.106Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
9185.51.66.114Gödöllő, Pest County, Hungary
AS47381Servergarden Kft.
818.244.18.24United States
AS16509AMAZON-02
8142.250.185.99United States
AS15169GOOGLE
613.33.187.26New York, New York, United States
AS16509AMAZON-02
677.111.90.201Hungary
AS197248Dravanet Co Ltd.
6142.250.185.130United States
AS15169GOOGLE
233151--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B04293773B8582E411B4198AD3A738CE03B5833C84AC9B5FAED819F53C9DAA4573359

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2eF0yC+3suvbdmiI2Ixl3YF+HHJNW38rfOT6ZqgpRJaGkkIpWnkaj80uVkvkw2el:2W3migRSkJ54UcTncOwTPj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:181814:IrVIQ4ggwBhAkkgBB8QRhAhdCUwFI4yGTYJIEcezVwEIQgiBAA4qAQw0ZEZAAKDMFBwKAphihURgoYIAQYgxBCaTAEaIIQgR

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

Image Hashes

Scan History

Scan history not available

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