Security Scan Report: cinemacity.hu

Redirected to: https://www.cinemacity.hu/#/

Submitted: Jan 23, 2026, 12:53:52 PMCompleted: Jan 23, 2026, 12:55:39 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 8 domains to perform 674 HTTP transactions. The main domain is cinemacity.hu.

Submitted URL: https://cinemacity.hu

Effective URL: https://www.cinemacity.hu/#/Redirected

The Cisco Umbrella rank of the primary domain is #671,252 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Password fields without username on an unknown-age domain suggest phishing; avoid providing credentials.

Risk Factors
Credential harvesting form (password field without username)
Unknown domain age increases suspicion
Low Cisco Umbrella ranking for a brand domain
Domain age information unavailable

Details

Page Title

Legújabb filmek - Új filmek - 3D filmek | Cinema City

Scan Type

public

Language

🇭🇺

HU

(80% confidence)

Category

entertainment media

(94%)

Domain Information

You're looking at domain 'cinemacity.hu' on the Hungarian country-code top-level domain (.hu) while skipping any subdomain. Its registrable label 'cinemacity' stretches across 10 characters split between 4 vowels and six consonants. It segments into two words: cinema, city. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cinemacity.hu

Page Load Overview

13.62s
Total Load Time
700
HTTP Requests
12
Domains
11.9 MB
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:12,779 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media94% confidence
Type: webapp
Method: ml+structural

All Detected Categories

entertainment media
94%
government public service
44%
adult content
34%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
100157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
100104.18.95.41United States
AS13335CLOUDFLARENET
100104.17.81.238United States
AS13335CLOUDFLARENET
100104.16.80.73Unknown
10046.101.80.101Slough, England, United Kingdom
AS14061DIGITALOCEAN-ASN
100142.250.184.232United States
AS15169GOOGLE
100192.178.170.95UnknownUnknown
7007--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15494B4707C81592B0053B6C0B9615FA9EB72428BC6130E85B7EC17C9EBEBDB5942F0D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Blt69wz6C3ifnPJktHwa6C3iAnPJ+0740Mf2ht0vt0F4hk0NYZAYmUTMAHB5vH0a:BltvBreEKi40S2x4OZYTlBSJ3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:434763:ACk1WBxE4GDMACBAEQgCmhESgbJAZxQgSOAIY4wiDAwIICmAWmQ1EAYCEEfQA4FlBwIBmAgDlAACS5EwgMDJEKFEoCEAwHFj

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:ff00000000e4e4ff
Perceptual Hash:f00ff9f00d72d807
Difference Hash:d503013454898d91
Wavelet Hash:ff01000000fdffff
Color Hash:#643a78

Scan History

Scan history not available

Unable to load historical scan data