Security Scan Report: uni-nke.hu

Redirected to:
https://www.uni-nke.hu/
Site favicon
Submitted: Sep 16, 2026, 6:09:23 AMCompleted: Sep 16, 2026, 6:10:14 AMpubliccompleted

This website contacted 43 IPs in 3 countries across 21 domains to perform 150 HTTP transactions. The main domain is uni-nke.hu and was registered 30 years ago.

Submitted URL: https://uni-nke.hu

Effective URL:

https://www.uni-nke.hu/
Redirected

The Cisco Umbrella rank of the primary domain is #959,537 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Official website of Nemzeti Közszolgálati Egyetem, a 17-year-old Hungarian public university domain. No forms, no impersonation, no Indicators of Compromise, YARA or IDS hits — legitimate.

Safety Factors (5)
Hungarian public university official domain, 17 years old
Content is a genuine university portal: study schedules, grant calls, organisational regulations, staff/contact details
No credential or payment forms anywhere on the page
No threat-intel, YARA, IDS or Safe Browsing matches
Physical address, phone number and institutional email addresses published
Domain age information unavailable

Details

Page Title

NEMZETI KÖZSZOLGÁLATI EGYETEM

Scan Type

public

Domain Name Analysis

Within the Hungarian country-code top-level domain (.hu), 'uni-nke.hu' is registered. Its registrable label 'uni-nke' stretches across 7 characters holding three vowels versus three consonants, plus 1 hyphen. Word splitting yields three words: uni, n, ke. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uni-nke.hu

Page Load Overview

5.06s
Total Load Time
10.0 MB
Total Size

Language Analysis

Primary Language

🇭🇺Hungarian
Code: hu
Confidence:73%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:45,781 chars
Detector Agreement:67%
Language mismatch: Declared as en but detected as hu

Website Classification

Primary Category

government public service85% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
85%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3193.225.179.114Dunaújváros, Fejér, Hungary
AS1955KIFU (Governmental Info Tech Development Agency)
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3193.224.76.114Diósd, Pest County, Hungary
AS1955KIFU (Governmental Info Tech Development Agency)
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
3142.251.150.119Google · CDNUnited States
AS15169Google LLC
3142.250.154.139Google · CDNUnited States
AS15169Google LLC
3142.250.154.119Google · CDNUnited States
AS15169Google LLC
3172.217.116.4Google · CDNUnited States
AS15169Google LLC
3172.217.118.4Google · CDNUnited States
AS15169Google LLC
15043--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137F00E0768009A5B56308B21AF97F228CCD66AA8BB506910B8DD00B60FF8B9C8DA3900

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7Yk+I0k3ESMEYTPBrAMzT3uLmjT6xnhTJjT6mweYBz/fAbpli7vzbv5pxW:hREzkp9K1ORTRazAy7LbnxnK6NVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:519:AAAAAAQAAAAAAAAAAAAAAAAAAAAAUAAgBAAAAAAAAAABAAAAABAAAAAAAAAAAABAAAACAAAAAAAAAAAIAAAAAAAAAAAAAEAA

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:00ff8f8f8fc7c300
Perceptual Hash:b94f44301b654f3b
Difference Hash:c1282e1e181e0ef2
Wavelet Hash:00ff8f8f8fc3c302
Color Hash:#40bfb0

Scan History

Scan history not available

Unable to load historical scan data