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Security Scan Report: forbes.hu

Submitted: Mar 31, 2026, 10:56:56 PMCompleted: Mar 31, 2026, 10:58:43 PMpubliccompleted
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Summary

This website contacted 16 IPs in 5 countries across 19 domains to perform 4 HTTP transactions. The main domain is forbes.hu.

Submitted URL: https://forbes.hu

The Cisco Umbrella rank of the primary domain is #976,280 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 82%

5
Risk Score

Site appears legitimate but unknown domain age and low ranking suggest cautious use.

Risk Factors
Domain age unknown – cannot verify how long the site has been operating
Low Cisco Umbrella ranking (976,280) for a site claiming a major brand
Safety Factors
Meta tags (og:title, og:site_name) correctly reference Forbes and match the domain
No forms collecting passwords, emails, or payment data
No redirects or URL manipulation observed
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
Domain age information unavailable

Details

Page Title

Főoldal - Forbes.hu

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

blog personal website

(41%)

Domain Information

Domain 'forbes.hu' uses the Hungarian country-code top-level domain (.hu) without a subdomain. The second-level label 'forbes' is 6 characters long split between 2 vowels and four consonants. Breaking it apart gives 1 word: forbes. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://forbes.hu

Page Load Overview

5.99s
Total Load Time
144
HTTP Requests
26
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
HTML Lang Attribute:hu
Text Length:97,255 chars
Detector Agreement:100%
Language mismatch: Declared as hu but detected as en

Website Classification

Primary Category

blog personal website41% confidence
Type: static
Method: ml+structural

All Detected Categories

blog personal website
41%
government public service
37%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.251.14.94United States
AS15169Google LLC
9104.16.80.73United States
AS13335Cloudflare, Inc.
9104.26.5.66Hungary
AS32934
952.59.85.223Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
920.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
9104.26.14.101United States
AS13335Cloudflare, Inc.
9142.251.110.155United States
AS15169Google LLC
9109.123.210.83Czech Republic
AS15685CASABLANCA INT a.s.
9116.202.0.160Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
9142.251.127.113Unknown
AS62713
14416--

Detected Technologies8

WordPressv6.6.2
100%
MetaGenerator
100%
PHP
50%
MySQL
50%
reCAPTCHA
45%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A5651303127380749A39DB49545CB056BE6061B22C39A47CAEB8D65FC91C763AAF3DF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:YvmnlAyqI2KnE0I17qFbmYOJHuW6wF1HJngwxdI0yiolticlkEnSTRTB:YzpngwxdI0yiolticlkEEl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6371860:IEQATCkGAhFZYCbK1IGdEFGIGMxhwBEAkYHooyoGaI6QMUYMiAIqCKACIQKBCDRgJTEiBInOOkCOEYNSLww6skjvka0DO0OQ

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:fbffffdfdfe1c387
Perceptual Hash:ed8c36cd92656c98
Difference Hash:262a331b3b030f0d
Wavelet Hash:fbbf91c381c1c183
Color Hash:#40bfbd

Other Hashes

Crop Resistant:262a331b3b030f0d,004827ccccd82308,4b2f2f2fcbc94949,363131b232b353dd

Scan History

Scan history not available

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