Security Scan Report: allamkincstar.gov.hu

Redirected to:
https://www.allamkincstar.gov.hu/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 7 domains to perform 77 HTTP transactions. The main domain is gov.hu.

Submitted URL: https://allamkincstar.gov.hu

Effective URL:
https://www.allamkincstar.gov.hu/
Redirected

The Cisco Umbrella rank of the primary domain is #86,634 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #86,634.

Safety Factors (3)
Well-established domain (ranked #86,634)
No forms or interactive credential elements
No IoC, hunting rule, or IDS alerts
Domain age information unavailable

Details

Page Title

Magyar Államkincstár

Scan Type

public

Domain Name Analysis

Domain 'allamkincstar.gov.hu' uses the Hungarian country-code top-level domain (.hu); it also runs on subdomain 'allamkincstar'. Count 3 characters in 'gov' split between 1 vowel and 2 consonants. Segmentation suggests 1 word: gov. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

AV geisha tere Rise gece, | as FEJ IM Magyar KG — Államkincstár A RÓLUNK NAPTÁR WEBKINGSTAR MOBILKINCSTAR TELEKINGSTAR SZR ÜGYFÉL FRONT-END KAPCSOLAT EJ MI Huy oD NEM LAKOSSÁGI ÜGYEK JÖ KÖLTSÉGVET...

Page Load Overview

5.25s
Total Load Time
7.0 MB
Total Size

Language Analysis

Primary Language

🇭🇺Hungarian
Code: hu
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:hu
Text Length:36,481 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service89% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
89%
healthcare medical
67%
education learning
52%
government
48%
e-commerce shopping
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39142.250.154.97United States
AS15169Google LLC
3884.206.52.165Budapest, Budapest, Hungary
AS31581NISZ National Infocommunications Service Provider Private Limited
772--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C57401968CC0483B535575CAF778EB24D3C14109CE5E2812A9B4C7992F72FE12DAFA2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:p5rCjDk21jxvOH/W9Tnpvu0pEdOBTtDJi6OcSPPXah:NWzJi6OcSPPXah

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:338425:AgKCHALAQoMISgaOFhQEglwBC5iEcKFETkKccSZHoEERgmIpFgWMaCRMIYxUhgAiYgNBRMEIgAQGJHEExBUCEpQcFAkgggSB

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:ff81d383cbffe1c1
Perceptual Hash:ed96439334c496e9
Difference Hash:883b33373b331323
Wavelet Hash:ff81838381ffe181
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data