Security Scan Report: e-epites.hu

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is e-epites.hu.

Submitted URL: https://e-epites.hu

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Benign 404 'page not found' page for Lechner Tudásközpont; no forms, no impersonation, no threat-intel or malware signals. Unknown .hu domain age is neutral here.

Safety Factors (4)
Static error-page content with no data collection of any kind
Self-branding consistent with the domain's own organisation; no brand impersonation
No JavaScript behavioural anomalies or third-party script hosts
Topic classifier and content indicate an institutional/educational/government context
Domain age information unavailable

Details

Page Title

Lechner Tudásközpont

Scan Type

public

Domain Name Analysis

Domain 'e-epites.hu' uses the Hungarian country-code top-level domain (.hu) and has no subdomain. The second-level label 'e-epites' is 8 characters long containing 4 vowels alongside three consonants, plus one hyphen. Tokenizing the label suggests 3 words: e, ep, ites. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

[. LECHNER TUDASKOZPONT 404 A keresett oldal nem található. Page not found.

Page Load Overview

0.30s
Total Load Time
7 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:11%
Script:Latin
Direction:ltr

Detection Details

Text Length:76 chars
Detector Agreement:33%

Website Classification

Primary Category

news media journalism79% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
79%
education learning
77%
government public service
77%
healthcare medical
71%
documentation technical
70%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
384.206.10.74Hungary
AS31581NISZ National Infocommunications Service Provider Private Limited
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C401445D00F7444AA993D5B00BF366216C99148BCA4FCA24389E62A8DF49649D9F73CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hYzlwlMx0fxjx058OSq6qDz0FIXMLN4FuGU/FyJAAd1RpWs/GI3Re3d+AGb:hYuv057Sz6O4U/8J9ddWs33clM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:766:AABAABAAAAAAAEEAAAAAAAAAAAAAAAAAAQAgAgCAGCAgAAAAAAAAIAAAAAAAAEAAAAAAAAAAAAAAgAAAAAAAAQCCAAAEAAAA

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:001818183c180000
Perceptual Hash:cccc66669b3199c6
Difference Hash:0030323230300800
Wavelet Hash:3f3f3f3f3c1c0000
Color Hash:N/A

Other Hashes

Crop Resistant:0030323230300800

Scan History

Scan history not available

Unable to load historical scan data