Security Scan Report: kutatas.bme.hu

Redirected to: https://kutatas.bme.hu/portal/index/index.html

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Submitted: Jan 7, 2026, 3:22:17 AMCompleted: Jan 7, 2026, 3:24:59 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 85 HTTP transactions. The main domain is kutatas.bme.hu.

Submitted URL: https://kutatas.bme.hu

Effective URL: https://kutatas.bme.hu/portal/index/index.htmlRedirected

The Cisco Umbrella rank of the primary domain is #95,994 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university site with no apparent security risks.

Safety Factors
Reputable university domain (bme.hu)
Top 100k ranking in Cisco Umbrella
No suspicious forms or data collection
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Kutatóegyetem

Scan Type

public

Language

🇭🇺

HU

(80% confidence)

Category

corporate business

(45%)

Domain Information

You're looking at domain 'kutatas.bme.hu' on the Hungarian country-code top-level domain (.hu) with subdomain 'kutatas'. The registrable portion 'bme' spans 3 characters split between 1 vowel and two consonants. Segmentation suggests 2 words: b, me. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kutatas.bme.hu

Page Load Overview

90.18s
Total Load Time
69
HTTP Requests
1
Domains
86 KB
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:2,325 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
45%
documentation technical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
69152.66.121.89Pákozd, Fejér, Hungary
AS2547Budapest University of Technology and Economics
691--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5D2C9014D799527556215D9EAA47F1AA393C256C3056E00B1FC20EEFFCEFC888BA1AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3ILedDzGvNpp91oH4cPH5pgvwbpAn7tWA/TNXy/FT4:LGvNpp91oH4cPHHjA7NXSR4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28998:CgMEzGAUgkaJDhDBbCHE4CAIMSI2sSFKAohNwICiAwiFMYKAG5RgIRCHzRZPgJZFQgRUZNx6BhEGeJDCCBWpAgUggNEAiGhB

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:003c3c3c243c3c3c
Perceptual Hash:9338383134cfd3e6
Difference Hash:597969694d596969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#a12dd2

Scan History

Scan history not available

Unable to load historical scan data